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Former investment bank FX trader: some thoughts
Hi guys, I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert. I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning. When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions. The first topic is Risk Management and we'll cover it in three parts Part I
Why it matters
Using stops sensibly
Picking a clear level
Why it matters
The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.” You have to keep it before you grow it. Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around. The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices. Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.
Capital and position sizing
The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose. Position sizing is what ensures that a losing streak does not take you out of the market. A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples. So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000. We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be? We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator". https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14 So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital. You should be using this calculator (or something similar) on every single trade so that you know your risk. Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later. The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work. As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you. Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints. For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly: https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you. Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown. It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance. Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k. Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money. Do not let this happen to you. Use position sizing discipline to protect yourself.
If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number? The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round. This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet. Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin. Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips. Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds. Applying the formula to forex trading looks like this: Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically. If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss. So that’s 0.3 - (1 - 0.3) / 3 = 6.6%. Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit! With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not. Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account. Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see. This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders. Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.
How to use stop losses sensibly
Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them. A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter. The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’. This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK. Why are stop losses so important? Well, there is no other way to manage risk with certainty. You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter. Learning to take a loss and move on rationally is a key lesson for new traders. A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not. Bruce Kovner, founder of the hedge fund Caxton Associates There is an old saying amongst bank traders which is “losers average losers”. It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong. Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.
Picking a clear level
Where you leave your stop loss is key. Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible. If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200. The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up. Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD. https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802 If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend. So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level. There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section. There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high. https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81 Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument. Here are some guidelines that can help:
Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out. For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.
Coming up in part II
EDIT: part II here Letting stops breathe When to change a stop Entering and exiting winning positions Risk:reward ratios Risk-adjusted returns
Coming up in part III
Squeezes and other risks Market positioning Bet correlation Crap trades, timeouts and monthly limits *** Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
[Strategies] Here is My Trading Approach, Thought Process and Execution
Hello everyone. I've noticed a lot of us here are quite secretive about how we trade, especially when we comment on a fellow trader's post. We're quick to tell them what they're doing isn't the "right way" and they should go to babypips or YouTube. There's plenty of strategies we say but never really tell them what is working for us. There's a few others that are open to share their experience and thought processes when considering a valid trade. I have been quite open myself. But I'm always met with the same "well I see what you did is quite solid but what lead you to deem this trade valid for you? " The answer is quite simple, I have a few things that I consider which are easy rules to follow. I realized that the simpler you make it, the easier it is for you to trade and move on with your day. I highlight a few "valid" zones and go about my day. I've got an app that alerts me when price enters the zone on my watchlist. This is because I don't just rely on forex trading money, I doubt it would be wise to unless you're trading a 80% win rate strategy. Sometimes opportunities are there and we exploit them accordingly but sometimes we are either distracted by life issues and decide to not go into the markets stressed out or opportunities just aren't there or they are but your golden rules aren't quite met. My rules are pretty simple, one of the prime golden rules is, "the risk is supposed to be very minimal to the reward I want to yield from that specific trade". i.e I can risk -50 pips for a +150 and more pips gain. My usual target starts at 1:2 but my most satisfying trade would be a 1:3 and above. This way I can lose 6/10 trades and still be profitable. I make sure to keep my charts clean and simple so to understand what price does without the interference of indicators all over my charts. Not to say if you use indicators for confluence is a complete no-no. Each trader has their own style and I would be a narcissistic asshole if I assumed my way is superior than anybody else's. NB: I'm doing this for anybody who has a vague or no idea of supply and demand. Everything here has made me profitable or at least break even but doesn't guarantee the same for you. This is just a scratch on the surface so do all you can for due diligence when it comes to understanding this topic with more depth and clear comprehension. Supply and Demand valid zones properties; what to me makes me think "oh this zone has the potential to make me money, let me put it on my watchlist"? Mind when I say watchlist, not trade it. These are different in this sense. 👉With any zone, you're supposed to watch how price enters the zone, if there's a strong push in the opposite direction or whatever price action you're observing...only then does the zone becomes valid. YOU TRADE THE REACTION, NOT THE EXPECTATION Some setups just fail and that's okay because you didn't gamble. ✍ !!!IMPORTANT SUBJECT TO LEARN BEFORE YOU START SUPPLY AND DEMAND!!! FTR. Failure to Return.(Please read on these if you haven't. They are extremely important in SnD). Mostly occur after an impulse move from a turning point. See attached examples: RBR(rally base rally)/DBD(drop base drop). They comprise of an initial move to a certain direction, a single candle in the opposite direction and followed by 2 or more strong candles in the initial direction. The opposite candle is your FTR(This is your zone) The first time price comes back(FTB) to a zone with an FTR has high possibilities to be a strong zone. How to identify high quality zones according to my approach:
Engulfing zones; This is a personal favorite. For less errors I identify the best opportunities using the daily and 4H chart.
On the example given, I chose the GBPNZD trade idea I shared here a month ago I believe. A double bottom is easily identified, with the final push well defined Bullish Engulfing candle. To further solidify it are the strong wicks to show strong rejection and failure to close lower than the left shoulder. How we draw our zone is highlight the whole candle just before the Engulfing Candle. That's your zone. After drawing it, you also pay attention to the price that is right where the engulfing starts. You then set a price alert on your preferred app because usually price won't get there immediately. This is the second most important part of trading, PATIENCE. If you can be disciplined enough to not leave a limit order, or place a market order just because you trust your analysis...you've won half the battle because we're not market predictors, we're students. And we trade the reaction. On the given example, price had already reached the zone of interest. Price action observed was, there was a rejection that drove it out of the zone, this is the reaction we want. Soon as price returns(retests)...this is your time to fill or kill moment, going to a 4H or 1H to make minimum risk trades. (See GBPNZD Example 1&2)
Liquidity Run; This approach looks very similar to the Engulfing zones. The difference is, price makes a few rejections on a higher timeframe level(Resistance or support). This gives the novice trader an idea that we've established a strong support or resistance, leading to them either selling or buying given the opportunity. Price then breaks that level trapping the support and resistance trader. At this point, breakout traders have stop orders below or above these levels to anticipate a breakout at major levels with stops just below the levels. Now that the market has enough traders trapped, it goes for the stop losses above or below support and resistance levels after taking them out, price comes back into the level to take out breakout traders' stop losses. This is where it has gathered enough liquidity to move it's desired direction.
The given example on the NZDJPY shows a strong level established twice. With the Bearish Engulfing movement, price leaves a supply zone...that's where we come in. We go to smaller timeframes for a well defined entry with our stops above the recent High targeting the next demand zone. The second screenshot illustrates how high the reward of this approach is as well. Due diligence is required for this kind of approach because it's not uncommon but usually easily misinterpreted, which is why it's important it's on higher timeframes. You can back test and establish your own rules on this but the RSI in this case was used for confluence. It showed a strong divergence which made it an even easier trade to take. ...and last but definitely not least,
Double Bottom/Top. (I've used double bottoms on examples because these are the only trades I shared here so we'll talk about double bottoms. Same but opposite rules apply on double tops).
The first most important rule here is when you look to your left, price should have made a Low, High and a Lower Low. This way, the last leg(shoulder) should be lower than the first. Some call this "Hidden Zones". When drawing the zones, the top border of the zone is supposed to be on the tip of the Low and covering the Lower Low. **The top border is usually the entry point. On the first given example I shared this week, NZDCAD. After identifying the structure, you start to look for zones that could further verify the structure for confluence. Since this was identified on the 4H, when you zoom out to the daily chart...there's a very well defined demand zone (RBR). By now you should know how strong these kind of zones are especially if found on higher timeframes. That will now be your kill zone. You'll draw another zone within the bigger zone, if price doesn't close below it...you've got a trade. You'll put your stop losses outside the initial zone to avoid wicks(liquidity runs/stop hunts) On the second image you'll see how price closed within the zone and rallied upwards towards your targets. The second example is CHFJPY; although looking lower, there isn't a rally base rally that further solidifies our bias...price still respected the zone. Sometimes we just aren't going to get perfect setups but it is up to us to make calculated risks. In this case, risk is very minimal considering the potential profit. The third example (EURNZD) was featured because sometimes you just can't always get perfect price action within your desired zone. Which is why it's important to wait for price to close before actually taking a trade. Even if you entered prematurely and were taken out of the trade, the rules are still respected hence a re entry would still yield you more than what you would have lost although revenge trading is wrong. I hope you guys learnt something new and understand the thought process that leads to deciding which setups to trade from prepared supply and demand trade ideas. It's important to do your own research and back testing that matches your own trading style. I'm more of a swing trader hence I find my zones using the Daily and 4H chart. Keeping it simple and trading the reaction to your watched zone is the most important part about trading any strategy. Important Note: The trade ideas on this post are trades shared on this sub ever since my being active only because I don't want to share ideas that I may have carefully picked to make my trading approach a blind pick from the millions on the internet. All these were shared here. Here's a link to the trade ideas analyzed for this post specifically Questions are welcome on the comments section. Thank you for reading till here.
Some trading wisdom, tools and information I picked up along the way that helped me be a better trader. Maybe it can help you too.
Its a bit lengthy and I tried to condense it as much as I can. So take everything at a high level as each subject is has a lot more depth but fundamentally if you distill it down its just taking simple things and applying your experience using them to add nuance and better deploy them. There are exceptions to everything that you will learn with experience or have already learned. If you know something extra or something to add to it to implement it better or more accurately. Then great! However, my intention of this post is just a high level overview. Trading can be far too nuanced to go into in this post and would take forever to type up every exception (not to mention the traders individual personality). If you take the general information as a starting point, hopefully you will learn the edge cases long the way and learn how to use the more effectively if you end up using them. I apologize in advice for any errors or typos. Introduction After reflecting on my fun (cough) trading journey that was more akin to rolling around on broken glass and wondering if brown glass will help me predict market direction better than green glass. Buying a $100 indicator at 2 am when I was acting a fool, looking at it and going at and going "This is a piece of lagging crap, I miss out on a large part of the fundamental move and never using it for even one trade". All while struggling with massive over trading and bad habits because I would get bored watching a single well placed trade on fold for the day. Also, I wanted to get rich quick. On top all of that I had a terminal Stage 4 case of FOMO on every time the price would move up and then down then back up. Just think about all those extra pips I could have trading both directions as it moves across the chart! I can just sell right when it goes down, then buy right before it goes up again. Its so easy right? Well, turns out it was not as easy as I thought and I lost a fair chunk of change and hit my head against the wall a lot until it clicked. Which is how I came up with a mixed bag of things that I now call "Trade the Trade" which helped support how I wanted to trade so I can still trade intra day price action like a rabid money without throwing away all my bananas. Why Make This Post? - Core Topic of Discussion I wish to share a concept I came up with that helped me become a reliable trader. Support the weakness of how I like to trade. Also, explaining what I do helps reinforce my understanding of the information I share as I have to put words to it and not just use internalized processes. I came up with a method that helped me get my head straight when trading intra day. I call it "Trade the Trade" as I am making mini trades inside of a trade setup I make from analysis on a higher timeframe that would take multiple days to unfold or longer. I will share information, principles, techniques I used and learned from others I talked to on the internet (mixed bag of folks from armatures to professionals, and random internet people) that helped me form a trading style that worked for me. Even people who are not good at trading can say something that might make it click in your head so I would absorbed all the information I could get.I will share the details of how I approach the methodology and the tools in my trading belt that I picked up by filtering through many tools, indicators strategies and witchcraft. Hopefully you read something that ends up helping you be a better trader. I learned a lot from people who make community posts so I wanted to give back now that I got my ducks in a row. General Trading Advice If your struggling finding your own trading style, fixing weakness's in it, getting started, being reliably profitable or have no framework to build yourself higher with, hopefully you can use the below advice to help provide some direction or clarity to moving forward to be a better trader.
KEEP IT SIMPLE. Do not throw a million things on your chart from the get go or over analyzing what the market is doing while trying to learn the basics. Tons of stuff on your chart can actually slow your learning by distracting your focus on all your bells and whistles and not the price action.
PRICE ACTION. Learn how to read price action. Not just the common formations, but larger groups of bars that form the market structure. Those formations carry more weight the higher the time frame they form on. If struggle to understand what is going on or what your looking at, move to a higher time frame.
INDICATORS. If you do use them you should try to understand how every indicator you use calculates its values. Many indicators are lagging indicators, understanding how it calculates the values can help you learn how to identify the market structure before the indicator would trigger a signal . This will help you understand why the signal is a lagged signal. If you understand that you can easily learn to look at the price action right before the signal and learn to watch for that price action on top of it almost trigging a signal so you can get in at a better position and assume less downside risk. I recommend using no more than 1-2 indicators for simplicity, but your free to use as many as you think you think you need or works for your strategy/trading style.
PSYCOLOGY. First, FOMO is real, don't feed the beast. When you trade you should always have an entry and exit. If you miss your entry do not chase it, wait for a new entry. At its core trading is gambling and your looking for an edge against the house (the other market participants). With that in mind, treat as such. Do not risk more than you can afford to lose. If you are afraid to lose it will negatively effect your trade decisions. Finally, be honest with your self and bad trading happens. No one is going to play trade cop and keep you in line, that's your job.
TRADE DECISION MARKING: Before you enter any trade you should have an entry and exit area. As you learn price action you will get better entries and better exits. Use a larger zone and stop loss at the start while learning. Then you can tighten it up as you gain experience. If you do not have a area you wish to exit, or you are entering because "the markets looking like its gonna go up". Do not enter the trade. Have a reason for everything you do, if you cannot logically explain why then you probably should not be doing it.
ROBOTS/ALGOS: Loved by some, hated by many who lost it all to one, and surrounded by scams on the internet. If you make your own, find a legit one that works and paid for it or lost it all on a crappy one, more power to ya. I do not use robots because I do not like having a robot in control of my money. There is too many edge cases for me to be ok with it.However, the best piece of advice about algos was that the guy had a algo/robot for each market condition (trending/ranging) and would make personalized versions of each for currency pairs as each one has its own personality and can make the same type of movement along side another currency pair but the price action can look way different or the move can be lagged or leading. So whenever he does his own analysis and he sees a trend, he turns the trend trading robot on. If the trend stops, and it starts to range he turns the range trading robot on. He uses robots to trade the market types that he is bad at trading. For example, I suck at trend trading because I just suck at sitting on my hands and letting my trade do its thing.
Trade the Trade - The Methodology
Base Principles These are the base principles I use behind "Trade the Trade". Its called that because you are technically trading inside your larger high time frame trade as it hopefully goes as you have analyzed with the trade setup. It allows you to scratch that intraday trading itch, while not being blind to the bigger market at play. It can help make sense of why the price respects, rejects or flat out ignores support/resistance/pivots.
Trade Setup: Find a trade setup using high level time frames (daily, 4hr, or 1hr time frames). The trade setup will be used as a base for starting to figure out a bias for the markets direction for that day.
Indicator Data: Check any indicators you use (I use Stochastic RSI and Relative Vigor Index) for any useful information on higher timeframes.
Support Resistance: See if any support/resistance/pivot points are in currently being tested/resisted by the price. Also check for any that are within reach so they might become in play through out the day throughout the day (which can influence your bias at least until the price reaches it if it was already moving that direction from previous days/weeks price action).
Currency Strength/Weakness: I use the TradeVision currency strength/weakness dashboard to see if the strength/weakness supports the narrative of my trade and as an early indicator when to keep a closer eye for signs of the price reversing.Without the tool, the same concept can be someone accomplished with fundamentals and checking for higher level trends and checking cross currency pairs for trends as well to indicate strength/weakness, ranging (and where it is in that range) or try to get some general bias from a higher level chart that may help you out. However, it wont help you intra day unless your monitoring the currency's index or a bunch of charts related to the currency.
Watch For Trading Opportunities: Personally I make a mental short list and alerts on TradingView of currency pairs that are close to key levels and so I get a notification if it reaches there so I can check it out. I am not against trading both directions, I just try to trade my bias before the market tries to commit to a direction. Then if I get out of that trade I will scalp against the trend of the day and hold trades longer that are with it.Then when you see a opportunity assume the directional bias you made up earlier (unless the market solidly confirms with price action the direction while waiting for an entry) by trying to look for additional confirmation via indicators, price action on support/resistances etc on the low level time frame or higher level ones like hourly/4hr as the day goes on when the price reaches key areas or makes new market structures to get a good spot to enter a trade in the direction of your bias.Then enter your trade and use the market structures to determine how much of a stop you need. Once your in the trade just monitor it and watch the price action/indicators/tools you use to see if its at risk of going against you. If you really believe the market wont reach your TP and looks like its going to turn against you, then close the trade. Don't just hold on to it for principle and let it draw down on principle or the hope it does not hit your stop loss.
Trade Duration Hold your trades as long or little as you want that fits your personality and trading style/trade analysis. Personally I do not hold trades past the end of the day (I do in some cases when a strong trend folds) and I do not hold trades over the weekends. My TP targets are always places I think it can reach within the day. Typically I try to be flat before I sleep and trade intra day price movements only. Just depends on the higher level outlook, I have to get in at really good prices for me to want to hold a trade and it has to be going strong. Then I will set a slightly aggressive stop on it before I leave. I do know several people that swing trade and hold trades for a long period of time. That is just not a trading style that works for me.
Enhance Your Success Rate Below is information I picked up over the years that helped me enhance my success rate with not only guessing intra day market bias (even if it has not broken into the trend for the day yet (aka pre London open when the end of Asia likes to act funny sometimes), but also with trading price action intra day. People always say "When you enter a trade have an entry and exits. I am of the belief that most people do not have problem with the entry, its the exit. They either hold too long, or don't hold long enough. With the below tools, drawings, or instruments, hopefully you can increase your individual probability of a successful trade. **P.S.*\* Your mileage will vary depending on your ability to correctly draw, implement and interpret the below items. They take time and practice to implement with a high degree of proficiency. If you have any questions about how to do that with anything listed, comment below and I will reply as I can. I don't want to answer the same question a million times in a pm. Tools and Methods Used This is just a high level overview of what I use. Each one of the actions I could go way more in-depth on but I would be here for a week typing something up of I did that. So take the information as a base level understanding of how I use the method or tool. There is always nuance and edge cases that you learn from experience.
I keep a general high level Macro outlook for currencies. I dont get too deep into Fundamentals and just keep an eye out for news. If I am already in a trade I will hold it if its far enough away from my entry. However, I wont enter right before/during news as it can invalidate your setup.
I started with the basics of learning the standard price action formations/patterns and candles. You can find tons of free info on that online, google is your friend. Then I stared at charts and said "why did the price do that or do this etc" then after a while I started to understand what's happening without having to think about it and I can see the market structure without having to look as closely as I did in the past.
After many many hours of staring at 5 min charts for 15 hours a day 5 days a week I learned how to look at 5 min charts and be like "Oh that's a hammer on the 15 min etc. If you keep track of time you can do the same for hourly candles as well and you will start to see market structure naturally. However I typically trade in a two chart panel window so I have a 15 min and 5 min chart up when trading intra day so I dont have to think too hard about it.
Draw support resistance lines on Daily/4hr timeframes. I prefer to use body of the candle instead of the wick for support/resistance.
You can find support/resistance liquidity levels through out the day as well and trade those if the price retraces back through levels its already been through that same day.
It would be a bit length to explain exactly the best place to draw them. If your unsure there is plenty of free resources on the internet. Just try to use your head and look for price levels where the price was "Supported" or it "Resisted" that price level then slap a line on it. Draw as few or as many lines as you feel helps you and your style. I tend to lean on the side of fewer. I typically do about 6 lines main support/resistances (3 of each).
Draw two Fibonacci Extensions. One on the daily timeframe, and then one on the 4hr time frame. Then you can trade the Fibonacci levels and use them for TP targets or entry zones if price action respects the level. Also you can use it along with support/resistance and pivots if they happen to line up or are very close.
I cannot really figure out how to put it into words how to draw a Fib if you dont know how. I will have to make a picture to demonstrate it. If your interested post below and I will draw one up and post a link. Probably the easiest way to understand. Just keep in mind the Fib you draw on the 4hr time frame will be inside the daily timeframe one.
The TradeVision2020 dashboard that I use just helps me keep a tab on the current market post plus any swing strength/momentum a currency might have on higher time frames. Helps me look for shifts in the market or confirmation that the bias it already has in momentum is continuing. I have found that often currencies when they get really/weak or strong might continue for several days or even longer like a full week or more. We recently had what felt like 1 week or so of flat out Yen weakness which was making some things wonky. All it does is allow me to look at the dashboard instead of a million other charts.
I use two that work well for my intra day style. The Stochastic RSI is just like a RSI but its faster. The second is the Relative Vigor Index which I use to detect swings in momentum and divergences in bullish/bearish momentum. I have used many others in the past, but as I have grown and got better as a trader I have found making my analysis simpler has improved my trading.I dont like the whole idea of have 43 different indicators on 32 different time frames light up a dashboard to be green for me to enter a trade. With how I do it now, I have a clear understanding of what I expect to happen and why. That way when it does happen I understand the move and dont get freaked out if the market moves funny after I am in the trade.
Conclusion I use the above tools/indicators/resources/philosophy's to trade intra day price action that sometimes ends up as noise in the grand scheme of the markets movement.use that method until the price action for the day proves the bias assumption wrong. Also you can couple that with things like Stoch RSI + Relative Vigor Index to find divergences which can increase the probability of your targeted guesses. Trade Example from Yesterday This is an example of a trade I took today and why I took it. I used the following core areas to make my trade decision.
Fundamental Bias: I already had a bullish fundamental outlook on EUUSD with expecting the markets to price in future similes due a higher an higher chance of Biden winning on paper as the election closed in and a "Blue wave" coming which would lead to a weaker dollar. Also, the Euro Zone is getting hammered with COVID pretty hard plus Brexit drama so I had a strong Euro bias.NOTE: As frame of reference, all the other pairs I trade I traded as if they were ranging and trade a range. Markets are messed up right now.
Currency Strength/Weakness: I use a tool that gives me a currency strength/weakness dashboard called TradeVision2020. Helps me track individual currency strength/weakness intra day. Took me about a month to get used to it, but helps me keep track of intra day strength/weakness that can add a bias to trade direction as the day unfolds. Like "Will this run have a 2nd or 3rd push higher" or "I should look to TP at the first sign of weakness in the push" type bias data. You still got to use your brain and figure out the best decision. It wont make choices for you, its only a guide.NOTE: I am not trying to adverse the tool (if providing the code is against sub rules let me know), its just a tool I use every day that helps me with directional bias calls. I am sharing the coupon code that was given to me when I found out about the tool in the TradingView forex chatroom and the guy gave me the code to use when I signed up. I dont want someone to read the name and want to try it out then overpay for no reason. The coupon will give you 40% off. Coupon Code: 3F7A0T5T
Higher Timeframe Analysis: Detected some early signs of Bearish Divergence on the 1hr chart using a on a higher time frame using a Stochastic RSI. Then I saw more confirmation on 5 min charts using Relative Vigor Index to help time my entry mid session.
Pivot Points: I treat pivot points like support/resistance and trade them as such using price action to give me some idea how its being treated by the market. Pretty straight forward.
It may seem like a lot of stuff to process on the fly while trying to figure out live price action but, for the fundamental bias for a pair should already baked in your mindset for any currency pair you trade. For the currency strength/weakness I stare at the dashboard 12-15 hours a day so I am always trying to keep a pulse on what's going or shifts so that's not really a factor when I want to enter as I would not look to enter if I felt the market was shifting against me. Then the higher timeframe analysis had already happened when I woke up, so it was a game of "Stare at the 5 min chart until the price does something interesting" Trade Example: Today , I went long EUUSD long bias when I first looked at the chart after waking up around 9-10pm Eastern. Fortunately, the first large drop had already happened so I had a easy baseline price movement to work with. I then used tool for currency strength/weakness monitoring, Pivot Points, and bearish divergence detected using Stochastic RSI and Relative Vigor Index. I first noticed Bearish Divergence on the 1hr time frame using the Stochastic RSI and got confirmation intra day on the 5 min time frame with the Relative Vigor Index. I ended up buying the second mini dip around midnight Eastern because it was already dancing along the pivot point that the price had been dancing along since the big drop below the pivot point and dipped below it and then shortly closed back above it. I put a stop loss below the first large dip. With a TP goal of the middle point pivot line Then I waited for confirmation or invalidation of my trade. I ended up getting confirmation with Bearish Divergence from the second large dip so I tightened up my stop to below that smaller drip and waited for the London open. Not only was it not a lower low, I could see the divergence with the Relative Vigor Index. It then ran into London and kept going with tons of momentum. Blew past my TP target so I let it run to see where the momentum stopped. Ended up TP'ing at the Pivot Point support/resistance above the middle pivot line. Random Note: The Asian session has its own unique price action characteristics that happen regularly enough that you can easily trade them when they happen with high degrees of success. It takes time to learn them all and confidently trade them as its happening. If you trade Asia you should learn to recognize them as they can fake you out if you do not understand what's going on. TL;DR At the end of the day there is no magic solution that just works. You have to find out what works for you and then what people say works for them. Test it out and see if it works for you or if you can adapt it to work for you. If it does not work or your just not interested then ignore it. At the end of the day, you have to use your brain to make correct trading decisions. Blindly following indicators may work sometimes in certain market conditions, but trading with information you don't understand can burn you just as easily as help you. Its like playing with fire. So, get out there and grind it out. It will either click or it wont. Not everyone has the mindset or is capable of changing to be a successful trader. Trading is gambling, you do all this work to get a edge on the house. Trading without the edge or an edge you understand how to use will only leave your broker happy in the end.
Profitable forex strategy: it is a type of instruction for the trader, which helps to follow a clearly verified algorithm and safeguard his deposit from emotional errors and consequences of the unpredictability of the Forex currency market.
Thanks to her, you will always know the answer to the question: how to act in certain market conditions. You have the conditions of opening a transaction, the conditions of its closing, likewise, you do not guess if it is time or not. You do what the trading strategy tells you. This does not mean that it cannot be changed. A healthy trading scheme in the forex market must be constantly adjusted, it must comply with the realities of current market trends, but there must be no unfounded arguments in it. >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE
Profitable Forex Strategy Reddit
Types of trading strategies The forms of a trading strategy can combine a variety of methods. However, several of the most commonly used options can be highlighted.
Trading strategy based on various complementary technical indicators
Trading strategy using Bollinger Bands
Moving Average Strategy
Technical figures and patterns
Trading with Fibonacci levels
Candlestick trading strategy
Trend trading strategy
Flat trading strategy
Fundamental analysis as the basis of the strategy
Three most profitable Forex strategies
Important!These strategies are the basis for building your own trading system.Indicator settings and recommended pending order levels are for consultation only.If you do not get a satisfactory outcome in the test result or in a live account, that does not mean that the problem is the strategy.It is enough to choose individual parameters of indicators under a separate asset and under the current market situation.
1. “Bali” scalping strategy
This strategy is one of the most popular, at least its description can be found on many websites. However, the recommendations will be different. According to the author's idea, "Bali" refers to scalping tactics, as it facilitates a fairly short stop loss (SL) and take profit (TP). However, the recommended time frame is high, because the signals appear not very often. The authors recommend using the H1 interval and the EUR / USD currency pair. Indicators used:
Linear Weighted Moving Average. Period 48 (red line).
Important!Note that the indicators for the “Bali” strategy are chosen in such a way as to ultimately give an early signal.This gives the trader time to confirm the signal and check the fundamentals.
MA is one of the basics on MT4, the other two indicators can be found in the archive for free here. To add them to the platform, click on MT4: "File / Open data directory". In the folder that opens, follow the following path: MQL4 / Indicators. Copy the flags to the folder and restart the platform. Also Read: Make Money With Trading Conditions to open a long position:
Price penetrates the orange Trend Envelopes line from the bottom up. At the same time in the same candle there is a change of the orange line that falls to a growing celestial.
The candle is above LWMA. Once the above condition has been met, we wait for the candle to appear above the moving one. It is important that it closes above the LWMA red line. It is mandatory to have a Skyline Trend Envelopes on a signal candle.
The additional DSS of momentum line on the signal candle is green and is above the dotted line of the signal (that is, it crosses or crosses it).
We open a trade at the close of the signal candle. The recommended stop level is 20-25 points in 4-digit quotes, take profit at 40-50 points. https://preview.redd.it/t48d55s8faw51.jpg?width=1000&format=pjpg&auto=webp&s=1e93863745e74dec536178539817225767cbeb1c The arrow indicates a signal candle where a Trend Envelopes color change occurred. Note (purple ovals) that the blue line is below the orange line and goes upwards (in other cases the signal should be ignored). In the signal candle, the green DSS of momentum line is above the dotted line. Conditions to open a short position:
Price penetrates the Trend Envelopes sky line from top to bottom. At the same time in the same candle there is a change from the increasing celestial line to the falling orange.
The candle is below LWMA. Once the above condition has been met, we wait for the candle to appear below the mobile. It is important that it closes below the LWMA red line. It is mandatory to have an orange Trend Envelopes line on a signal candle.
The additional DSS of momentum line on the signal candle is orange and is below the dotted line of the signal (i.e. crosses or crosses it).
This profitable Forex strategy is weekly and can be used on different currency pairs. It is based on the spring principle of price movement, what went up quickly, sooner or later must fall. To trade you will only need a schedule on any platform and W1 time frame (although the daily interval can be used).
The bearish candle, which signifies last week's movement, has a relatively large body.
Open a long position early next week. Make sure to place a stop loss at 100-140 points and a take profit at 50-70 points. When it is midweek, close the order if it has not yet been closed at take profit or stop loss. After that, wait again for the beginning of the week and repeat the procedure, in any case do not open operations at the end of the current week. https://preview.redd.it/vuihnqspfaw51.jpg?width=1000&format=pjpg&auto=webp&s=7641e9d7701911cc255c4f0c8a53e1660c35c9fe On this chart it is clearly seen that after each large bearish candle there is necessarily a bullish candle (although smaller). The only question is what period to take where it makes sense to compare the relative length of the candles. Here everything is individual for each currency pair. Note that a rising candle was observed followed by a few small bearish candles. But when it comes to minimizing risks, it is best not to open a long response position, as the relatively small decline from the previous week may continue. Conditions to open a short position:
The bullish candle, which signifies last week's movement, has a relatively large body.
We open a short position early next week. https://preview.redd.it/tv4zmf5ufaw51.jpg?width=1000&format=pjpg&auto=webp&s=61cd1dcfc4aebfa6f80343b6c51f7a6e46358602 The red arrows point to the candles that had a large body around the previous bullish candles. Almost all signals turned out to be profitable, except for the transactions indicated by a blue arrow. The shortcomings of the strategy are rare signs, albeit with a high probability of profit. The best thing is that it can be used in several pairs at the same time. This strategy has an interesting modification based on similar logic. Investors with little capital opt for intraday strategies, as their money is insufficient to exert radical pressure on the market. Therefore, if there is a strong move on the weekly chart, this may indicate a cluster of large strong traders. In other words, if there are three weekly candles in one direction, it is most likely the fourth. Here you also have to take into account the psychological factor, 4 candles is equal to one month, and those who "push" the market in one direction, within a month will begin to set profits. Strategy principle:
A "three candles" pattern (ascending and descending) formed on the weekly chart.
It is preferable that each subsequent candle was larger than the previous one. Doji is not taken into account (disembodied candles).
Stop is placed at the closing level of the first candle of the constructed formation. Take profit at 50-100% of the last candle, but it is often better to manually close the trade.
This strategy is universal and is usually given as an example for novice traders. It uses classic EMA (Exponential Moving Average) indicators for MT4 and Parabolic SAR, which acts as a confirmatory indicator. The strategy is trend. Most sources suggest using it in "minutes", but price noise reduces its efficiency. It is better to use M15-M30 intervals. Currency pairs - Any, but you may need to adjust the indicator settings. Indicators used:
EMA with periods 5, 25 and 50. EMA (5) in red, EMA (25) and EMA (50) in yellow. Apply to Close (closing price).
Red EMA (5) crosses the yellows from bottom to top.
Parabolic SAR is located under the sails.
Conditions to open a short position:
Red EMA (5) crosses the yellows from top to bottom.
Parabolic SAR is located above the candles.
The transaction can be opened on the same candle where the mobile crossover occurred. Stop loss at the local minimum, take profit at 20-25 points. But with the manual management of transactions you can extract great benefits. For example, close at the time of the transition from EMA (5) to a horizontal position (change of the angle of inclination of the growth to flat). https://preview.redd.it/4un92jlegaw51.jpg?width=1000&format=pjpg&auto=webp&s=406a700c00722349622d031e20d0858e4196d18b This screen shows that all three signals (two long and one short) were effective. It would be possible to enter the market on the candle by following the signal (in order to accurately verify the direction of the trend), but you would then miss the right time to enter. It is up to you to decide whether it is worth the risk. For one-hour intervals, these parameters hardly work, so be sure to check the performance of the indicators for each period of time in a minimum span of three years. And now that you know the theory, a few words about how to put these strategies into practice. Ready? Then let's get started!
From the theory to the practice
Step 1. Open demo account It's free, requires no deposit, takes up to 15 minutes, and no verification required. On the main page of your broker there is for sures a button "Register", click and follow the instructions. An account can also be opened from other menus (for example, from the top menu, from the commercial conditions of the account, etc.). Step 2. Familiarize yourself with the functionality of the Personal Area. It won't take long. It is at the most user friendly and intuitive. You just need to understand the instruments of the platform and understand how the trades are opened. Step 3. Launch the trading platform. The Personal Area has the platform incorporated, but it is impossible to add templates. Hence, the "Bali" and "Parabolic Profit" strategies can only be executed on MT4.
Characteristics of an effective Forex strategy Reddit
And finally, let's see what makes a profitable Forex strategy effective. What properties should it have? Perhaps three of the most important characteristics can be pointed out.
The minimum number of lag indicators. The smaller they are, the greater the forecast accuracy.
Easy. Understanding your strategy is more important than your saturation with complex elements, formulas, and schematics.
Uniqueness. Any trading strategy must be "tailored" to your trading style, your character, your circumstances, and so on.
It is very important to develop your own trading strategy, but it is necessary to test a large number of already available and proven strategies. On the Forex blog you will find trading strategies available for download. Before using a live account, test your chosen strategy on the demo account on the MetaTrader trading platform. Conclusion. To successfully trade the Forex currency market, create your own trading strategy. Learn what's new, learn out-of-the-box trading schemes, and improve your individual action plan in the market. Only in this case, the trading results will satisfy you to the fullest. Success, dear readers! >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE Join the community for more articles on trading and making money on the Forex and Stock market. ------------------------------------------------ ------------------------------------------------ Disclosure: This post contains affiliate links, if you click and make a purchase I may receive a commission - This has NO extra cost for you.
Real quick before I get into my next steps of my FX Journey, id like to say thank you to all the people who commented on my last post! All of the tips I got were really eye-opening and introduced me to different parts of FX trading that I didn't even know existed. So thank you so much, and I hope to get more interesting feedback from you guys in the future! Also Im going to probably change my writing frequency from daily to biweekly. I think writing about every little trade is not going to be as beneficial to me as writing about my overall progress at certain points throughout the week. I started this trading day out by learning up on order flow. A whole bunch of you guys suggested really interesting youtubers to watch, and I started with Mr. pip's series on order flow. After I finished up watching a few of his videos, I started to tweak my trading plan so that I could get in some chart time. I changed currency pair from EUUSD to the AUD/USD, the time frame from the 4 hour to the 1 hour, and my indicators from RSI, Stochastic, 2 SMAs and ADX to ATR, RSI, and Ichimoku Kinko Hyo. I also added a little fundamental analysis in my trading plan because I think that I am being far too reliant on my indicators. I planned to check the economic calendar and determine the general trend of the currency pairs that are strongly correlated to the AUD/USD before I began my chart analysis. In addition to all of my analysis, I tried to practice using the techniques I learned in Mr. Pip's videos and analyze the order flow of the chart. Even if my analysis of order flow is wrong, as long as I am getting practice I am learning. Eventhough I planned to use today to back-test indicators and find a solid new plan, I did not have enough time. I ended up getting on my demo account really late in the day, and started to force myself to enter a trade. Destructive habits like this could lead into some massive issues when I eventually get into live trading. To combat this harmful attitude specifically, I will restrict myself to trading on certain parts of the day (for example session overlaps, news releases, and earlier in the day). Despite this mistake I still continued with my trading strategy. I calculated all the currency correlations for AUS/USD using the past weeks economic data, and set my indicators in place. After checking the overall trend of the most strongly correlated pairs (Positive: EUUSD, GPB/USD, Negative: USD/CAD, USD/JPY) I started to analyze the order flow. All the correlated currencies, except for EUUSD, indicated that the AUD/USD would fall, while my order flow analysis indicated the opposite. Seeing as though I am extremely new to order flow, I dismissed this analysis, and ended up forcing a trade on the AUD/USD going short when my indicators seemed to line up correctly. I learned from last time that I should not alter or close my trade purely based on emotion, and to just wait till the market hits my stop loss or take profit. I included a trailing stop loss of 60 pips this time, but I have no evidence to base that number range on. The trade is currently open and I am down about 30 pips. Although I am not labeling this trade as a loser yet, I can definitely see a lot of holes in my trading strategy. The most obvious mistake in my eyes right now is my use of indicators. Currently all my trades are purely based on what my indicators say, and since I do not have any back-tested data to support the credibility of my indicators, it feels a lot like strategic gambling. Another issue is that I feel far too reliant on indicators alone. I think that if I can find ways to include various types of analysis efficiently and evenly in my trading plan I will become a much more skillful and well-rounded trader. In order to combat these two issues I will begin forming various types of trading strategies this weekend and back-test them all extensively. I also plan on researching more on price action, order flow, and Naked Forex. Once again any and all feedback is welcome. I am just beginning Forex, but it had been a huge passion of mine and I don't plan on stopping anytime soon.
Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are. TL;DR at the bottom for those not interested in the details. This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.
For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX! I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose. This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem. I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.
I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker. EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.
A Note on Spread
As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits. Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way). However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades. You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term. Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.
Time of Day
Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either. On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate. That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.
Moving stops up to breakeven
This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers. Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability. One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)? Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right? Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert. I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall. The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.
2-Candle vs Confirmation Candle Stops
Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it. Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL. Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.
As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular. Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system. This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here). Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses. Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels). Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant. One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak. EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much. I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system. This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions. There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated. I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful. Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.
What I will trade
Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.) I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
Demo Trading Results
Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc). A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade. I'm heading out of town next week, then after that it'll be time to take this sucker live!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
I’m looking to start trading forex and have been running trial accounts for the last few months just to make sure I can consistently turn my initial investment into a decent profit. I’ve no desire to make money quick and fully expect it to be a long process of interments gains (and losses). I think I’m nearly ready to take the step to using a real deposit - my only concern is that my initial investment is only planned to be about £150 - I know generally a bigger investment is safer but I’m not keen to risk too big a slice of my monthly income having never traded with real capital. With this in mind, calculating stop losses at 1/2% is difficult as a pair can move £1/2 in a matter of pips so I’ve either got to be 100% sure that a trade is going in the right direction immediately, or risk stop lossing preemptively to protect a few percent. Can anyone offer any advice as to how to run risk management strategies on a low value account?
https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15 Download PDF of this article here:https://docdro.id/6eLgUPo In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company. Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound. In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it! Stock code: 5199.KL Stock name: Hibiscus Petroleum Berhad Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199 Company website: https://www.hibiscuspetroleum.com/
Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as: · looking for oil, · drawing it out of the ground, and · selling it on global oil markets. This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020). https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684 https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields. Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices. At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.
Reserves (Total recoverable oil) & Production (bbl/day)
To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production. In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below: As defined by the SPE PRMS,Reservesare “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.) Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:) - A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria;- A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development;- Evidence that the necessary production and transportation facilities are available or can be made available; and- Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated. Contingent Resources and Prospective Resources are further defined as below: -Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and)-Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes. In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes: - Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate;- Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and- High/3C/3P estimate: there is a low probability that the estimate will be exceeded. Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”. However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation: https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78 Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022). Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl. In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources. https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604 The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl). This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million). However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus. To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field. North Sabah oil field https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field. For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are: · Average uptime · Total oil sold · Average realized oil price · Average OPEX per bbl With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields. Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime. As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross. We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl. Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl. Thus, we can sum up the above financial performance of the North Sabah field with the following figures: · Total oil sold: 2,075,305 bbl · Average realized oil price: USD 68.57/bbl · Average OPEX per bbl: USD 13.23/bbl Anasuria oil field https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field: · Total oil sold: 1,073,304 bbl · Average realized oil price: USD 63.57/bbl · Average OPEX per bbl: USD 23.22/bbl As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.
Valuation (Method 1)
Putting the figures from both oil fields together, we get the following data: https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2 Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x. Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant: https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2 From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices. Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).
Valuation (Method 2)
Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another. As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it. https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8 From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet). Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit: https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves ofRM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price. However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that. Intangible Assets I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet. As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion). https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all? To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs: E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets. E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.) Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment. On page 169 of the AR20, we find the following: Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).) So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate. Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required. So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following: Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116)) Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation? Fortunately, we find just that on page 185: 17 INTANGIBLE ASSETS (CONTINUED) (a Anasuria Cluster) The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.) The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows: (i Discount rate of 10%;) (ii Future cost inflation factor of 2% per annum;) (iii Oil price forecast based on the oil price forward curve from independent parties; and,) (iv Oil production profile based on the assessment by independent oil and gas reserve experts.) Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount. (b North Sabah) The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements. The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year. Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field. How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively. In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billionapproximates the accumulated Net Profit recoverable from 2P reserves. To conclude Valuation (Method 2), we arrive at the following:
Accumulated Net Profit from 2P Reserves
RM 1.452 billion
RM 1.468 billion
By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis. For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business. https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b Income Statement First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m. Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32). https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60 This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m). Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later. Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis. Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment. Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense. https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8 Balance Sheet The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity. We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again. Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations. Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes. Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020) Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m. Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes. The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large. We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m. Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices. Cash Flow Statement There is nothing in the cash flow statement which warrants concern. Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI. Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).
There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are: · Oil prices remaining subdued for long periods of time · Fluctuation of exchange rates · Customer concentration risk · 2P Reserves being less than estimated · Significant current and non-current liabilities · Potential issuance of equity Oil prices remaining subdued Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing. Table 1: Hibiscus EBITDA at different oil price and exchange rates https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51 The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36. Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green). Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing. Customer Concentration Risk With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished. 2P Reserves being less than estimated 2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’). Significant non-current and current liabilities The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern. Potential issuance of equity Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years. Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out. However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.
As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below: · Increased Daily Oil Production Rate · Inclusion of 2C Resources · Future oil prices exceeding $50 and effects from coronavirus dissipating Increased Daily Oil Production Rate The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production. The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward. By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day). Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day). This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet. Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day. While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations. Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates: Table 2: Hibiscus EBITDA at different oil price and daily oil production rates https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159 The left column represents different oil prices while the top row represents different daily oil production rates. The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day. Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above. 2C Resources Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates. To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil. https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil. Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY21 (incl. 2C)
Daily oil production (bbl/day)
Average oil price (USD/bbl)
Average OPEX/bbl (USD)
EBITDA (RM ‘m)
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20. For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby. Future oil prices exceeding $50 and effects from coronavirus dissipating Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented). Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years. When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.
Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
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