Algorithmic — Trading Ideas on TradingView

Education: Why your trading strategy win rate doesn't matter!What makes a profitable automated strategy? Probably the biggest misconception for trading perpetuated in the mainstream is that you need to have a greater than 50% win rate to be profitable. This is followed by a close second, of constantly assuming you need to have a risk-reward ratio of greater than 1:1 (e.g. 1:2, 1:3 etc). This one is perpetuated mostly by forex and stock market gurus. By the end of this article, I hope to dispel these myths and aim to shed some truths on how to assess a profitable strategy. Why your win rate doesn't matter: Let's simplify this down using an example. Consider the following two strategies. Which one would you rather trade? Strategy A: 50% win rate - When you win you make 2 dollars, but when you lose, you lose 1 dollar Strategy B: 50% win rate - When you win you make 5 dollars, but when you lose, you lose 1 dollar This one was a very obvious case of choosing Strategy B. In this case, both strategies have the same win rate, but Strategy B nets you 5 dollars per win, whereas Strategy A only makes you 2. Let's take another example. A little less obvious this time. Which one would you rather trade here? Strategy A: 90% win rate - When you win you make 1 dollar, but when you lose you lose 50 dollars Strategy B: 10% win rate - When you win you make 200 dollars, but when you lose, you lose 1 dollar Now the 90% win rate strategy may look attractive on the surface, but when you dig into it, you realise that you could get a massive 50 dollar loss in the 10% of times you do lose! For those of you who chose strategy B, this is the correct answer. One way we can assess the above strategies is using Expectancy . The formula for Expectancy is as follows: (Win % x Average Win Size) – (Loss % x Average Loss Size) We can calculate the expectancies of the strategy below: Strategy A: (0.9 * 1) - (0.1 * 50) = -4.1 Meaning you are expected to lose an average of $4.10 per trade using strategy A. Not a good sign. Strategy B: (0.1 * 200) - (0.9*1) = 19.1 Meaning you are expected to win an average of $19.10 per trade using strategy B. This is a major winner here! As you've probably realised. It is possible to have a profitable strategy using a low win rate. Many trend trading/breakout strategies tend to have lower win rates, but with larger rewards to risk, whilst mean-reversion strategies tend to have higher win rates with less frequent but larger drawdowns. The backtest shown in this post shows an example of a low win rate, and high win amount strategy using the Smoothed Heikin Ashi Trend on Chart indicator which I have developed, with an overall positive expectancy, backtest (note, no strategy is perfect, should not just blindly trust backtest data). Why you may still choose to define a risk/reward Better consistency of your strategy Psychological factor of knowing that you can be expected to lose only x amount (assuming no slippage etc) As an aside, note that defining a fixed risk-reward may hurt your win rate (which could impact your expectancy) so it's important to backtest to see if you get better results with defined risk-reward parameters. This is beyond the scope of the current article, but an important consideration. Why do traders gravitate toward a higher win rate? The simple answer here is that everyone wants to be a winner! It's human nature to want to be right, whether this be about a market direction or when to open or close a trade. It's often easier to brag about how much you win whether that be on social media or just feeling good about yourself. For algorithmic traders, having a higher win rate may also provide psychological benefits, as losing 20 times in a row can sometimes be very daunting for traders and can throw doubt into the efficacy of your system. I hope that through this article, I have managed to convey that it may be prudent consider strategies with low win rates also, as these can be very profitable in their own right. Digging further: This article is only just scratching the surface of how to create and validate if a strategy is something that you should consider trading. There are many aspects of backtesting including Monte Carlo simulation, understanding standard deviation of returns and risk, Sharpe ratio, Sortino ratio, walk-forward analysis, and out-of-sample analysis to name a few that you should conduct before you evaluate a strategy as suitable for live trading. If you've made it this far, thanks for reading. If you like the content, feel free to like and share, as well as check out some of the free scripts, strategies and indicators that I have published under the scripts tab. Thank you! Disclaimer: Not to be taken as financial advice, anything published by me is purely for education and entertainment purposes

The Reasons We Follow An Algorithmic-Systematic Approach To All We have been trading and investing in markets for decades since the early 1980s. Experienced and successful traders and market participants tend to remember their losses and mistakes instead of victories. Profits feed the ego; losses are teachers for those who realize that valuable lessons come from adversity instead of triumph. Everyone has an opinion- The only objective measure is the current price The trend is your only friend- News, experts, and all other information are subjective Trading and investing can be stressful A plan and discipline are the building blocks for success You have to be in to win- Drawdowns are a part of any trading or investing system A batting average of .300 is good enough to get a professional baseball player into the Hall of Fame in Cooperstown, New York. Each time a future hall of Famer steps up to the plate, a success rate of below 30% is good enough for infamy. Trading and investing are similar. No one is correct in their market calls all of the time. When approaching any market, there are always three potential outcomes, a profit, a loss, or a breakeven. The success rate of calling a market correctly takes a back seat to other factors. We have seen market participants who have had the foresight to call the market correctly 75% of the time and still wind up losing money. Conversely, a seasoned trader can be right 20% of the time and still make an overall profit. I usually write about specific markets on Trading View, but it is essential to look at the methodology, mindset, and path to growing capital over time this week. We follow an algorithmic-systematic approach to trading and investing. Our models come from decades of experience and the knowledge gained from mistakes that led to losses. We all have the same goal; to make money and grow our capital. The route to achieving the goal is what separates the winners from the losers. Everyone has an opinion- The only objective measure is the current price I am sure we have all heard an “expert” or pundit tell us that the current price of an asset is wrong. They may provide many compelling and convincing reasons, but they are 100% wrong when challenging a price level. An asset price at any moment in time is always the correct price for one objective reason. It is the level where buyers and sellers meet in a transparent environment, the market. The “experts” and pundits take a subjective leap of faith when using the terms expensive or cheap. Too many variables establish a price. The only accurate measure of value is the current price itself. The trend is your only friend- News, experts, and all other information are subjective Prices are snapshots. Trends are the living and breathing extension of price action. Many market participants become junkies, watching each news event, “expert” forecast, and other exogenous events that could push asset prices higher or lower. They make investment or trading decisions based on what they hear and see. The approach is flawed for three significant reasons: Trading off what one sees and hears is stale before it reaches our ears and eyes. Others have seen the news or forecast before us, and some had seen it before it appeared on a medium for all to see. The translation of an event, forecast, or news item is purely subjective as it assumes, we will make a correct analysis. The expression “buy the rumor and sell the news” or the converse runs counter to even the most complete analytical decision-making approach. Finally, reacting to any stimulus involves a primary human response, emotion. Emotions are a trader or investor’s worst enemy. They trigger responses and decisions based on fear and greed, a deadly duo that increases the chances of mistakes, miscalculations, and irrational behavior. A market’s trend is purely objective as it reflects the path of least resistance of a price based on market consensus and sentiment. Prices tend to move to levels on the upside and downside that can defy logic, run counter to reason and are not rational. Trend following blocks out logic, reason, and rational thought and favors one of the leading theories of physics. Newton’s first law states that a body at rest will remain at rest unless an outside force acts on it, and a body in motion at a constant velocity will remain in motion in a straight line unless acted upon by an external force. Trend following embodies Newton’s first law of physics. Asset prices reflect the market’s sentiment, which is the inertia that drives those prices. If Sir Isaac Newton were a modern-day trader or investor, his mantra would be the trend is your only friend as it is compatible with his first law. The physical sciences are objective. Trading and investing can be stressful We have found that decision-making creates stress. When we buy or sell an asset based on anything but the market’s trend, we make a subjective judgment. The attempt to buy at the bottom or sell at the top is a value judgment that runs counter to logic as it implies the sentiment and current prices are incorrect, a fatal flaw. Sometimes some market participants get lucky, but that only reinforces a strategy that leads to future mistakes. Picking tops or bottoms in a market is a strategy that rewards the ego as it gratifies that one called the market correctly. However, ego and vanity lead us down a dangerous path. In the 1997 film, The Devil’s Advocate, Al Pacino, the actor who played Satan, said, “Vanity-definitely my favorite sin.” Reducing stress comes from following the path of least resistance. We use an algorithmic, systematic approach to trading based on models that remain long during a bullish trend and short during a bearish one. We never miss a significant trend as we are constantly long or short the assets in our portfolio. We do not adjust our risk positions on an intra-day basis. We only reverse risk positions based on closing prices at the end of a session and execute the position at the start of the next session. Our proprietary models come from decades of trading and investing experience in a wide range of markets across all asset classes. We never look to sell tops or buy bottoms. We are long at the top and short at the bottom. However, we tend to capture significant trends, taking the filet mignon out of price trends. We have found that our mechanical approach, with a better than even-money win rate, reduces stress as it takes any decision-making out of the equation. The only job is to follow the rules, always remaining in the markets on the long or short side and reversing positions based on the model’s instructions. A plan and discipline are the building blocks for success Emotions lead to impulsive behavior. Acting on impulse leaves little or no time for planning and throws discipline out of the window. Albert Einstein said that the definition of insanity is doing the same thing repeatedly and expecting a different result. Impulsive decision-making is the root of Einstein’s insanity definition. Any risk position in any market must have a plan, which is simply balancing the financial risk versus the potential reward. Before pressing the buy or sell button, we must establish risk parameters for trades or investments when not following an algorithmic approach. The discipline is following the plan. Many market participants run into problems when a risk position goes against them, and they have no plan for risk and reward, or they modify it to allow them to stick with a wrong decision. Turning a short-term trade into a long-term investment is a common mistake. The mistake comes from a subjective call that the market price is incorrect. A way to prevent this is to remind yourself that the market price is always the correct price. We are often wrong; the market is never wrong. You have to be in to win- Drawdowns are a part of any trading or investing system We are constantly long or short the highly liquid assets in our investment portfolio because we never know when a significant trend will begin. Being in a risk position that follows trends is the only way to catch the bulk of a bullish or bearish trend. Drawdowns or losses are a part of life and any trading or investment approach. A choppy market near the high or low end of a trend will result in short-term losses. However, that is the price for capturing the long-term trend. There is no free lunch in life, and the same goes for trading and investing. The goal is always the same for every market participant, to make money over time and build wealth and our nest eggs. The strategy is what separates winners from losers. We take a long-term systematic approach and do not veer from the path. We know that drawdowns are a part of any investment or trading approach. We are in it to win it on a long-term basis. Join us for the Monday Night Call each week - all you have to do is use the link below. There's also a link to sign up for early access to these articles as well. Trading advice given in this communication, if any, is based on information taken from trades and statistical services and other sources that we believe are reliable. The author does not guarantee that such information is accurate or complete and it should not be relied upon as such. Trading advice reflects the author’s good faith judgment at a specific time and is subject to change without notice. There is no guarantee that the advice the author provides will result in profitable trades. There is risk of loss in all futures and options trading. Any investment involves substantial risks, including, but not limited to, pricing volatility, inadequate liquidity, and the potential complete loss of principal. This article does not in any way constitute an offer or solicitation of an offer to buy or sell any investment, security, or commodity discussed herein, or any security in any jurisdiction in which such an offer would be unlawful under the securities laws of such jurisdiction.

Algorithm Builer CRYPTO - XBTUSD - Review Oct 20th, 2019 Hello traders I. Daily tutorial publishing challenge officially begins Starting today, I'll be publishing every night what were the setups given by the Algorithm Builder CRYPTO II. Why a 5-minutes chart? The indicator won't give more than 3/5 trades per day even. This is not a scalping trading method, it's intraday and based on smoothed indicators for entering in a strong trend only. Those are the most secure trades possible because: - the Algo Builder waits for a strong confirmation and will avoid the fakeouts - the 5 minute allows to enter very early. This point is crucial. We made it so that to enter early but with a minimum of security. III. Signal of the day 1. We had a first LONG position invalidated with a small loss. The signal was given against the leading trend (red background/green signal) and in front of multi timeframes resistances. I always wait for a pullback near the EMA 15/20 to be invalidated with a minimal loss. I made the trading method so that to be invalidated with a minimal loss 2. The second trade was fabulous !!! Signal given, in front of resistances so not easy but a pullback near the EMA 15/20 was mandatory. It even gave a better entry than the signal on the chart - allowing to enter 50 USD lower for that LONG. Those resistance lines are my take profits zones. Then, the Algorithm Builder CRYPTO users should take the first take-profit at the first resistance (here the daily SMA(7)) for a 150 USD move upwards. The second take-profit was at the second big resistance - namely the Daily SMA(20). I generally let a bit of money on the table from there, as the stop-loss is already trailed by the indicator automatically. I do it, in case, there would be another upwards move that I could catch, and for free. For free because, the stop-loss is already moved to the TP1 level at that point, and I can't lose anymore on that particular trade setup. Total trade distance: 261 USD All the best, Dave

Profitable RSI optimizes 3 parameters!Well, it's just a small public announcement. I went to this for a long time and now it has become possible. Profitable RSI now handles 3 parameters of the standard RSI indicator to find the best tuple of settings. So, additionally to period setting, the optimizer takes under consideration different Overbought (from 60 to 70 ) and Oversold levels (from 30 to 40 ) for each RSI period. Four main conclusions from my research (if you gonna trade with RSI): The OB/OS levels are not necessary to be the standard 70/30 ones. With all my respect to J. Welles Wilder, but those bounds cannot be considered optimal. The OB/OS levels can be asymmetric. So OB can be 65 while OS is 39. Not 70/30, not 60/40 and not 75/25. Asymmetric ones. There is no efficient trading with period setting higher than 50. We can make a feast even from the old indicator And the last thing I wanted to add - let's not live in the old paradigms. The world is changing, trading is changing and we must change too. Don't be afraid to experiment with something new for you. The tool I talked about, the Profitable RSI, is here Good luck, Good health, God bless you

BCH - Algorithmic Entry and Target hit beautifully!I realise it's easy to state after the fact, but BCH has produced a clear example of fibonacci entry and first target hit. I just missed my entry as I noticed this a little late, highlighting the difference between trading and TA. However, its impossible to miss the confluence with the entry, RSI moving above 30, divergence appearing on the EWO and the entry at the Golden Pocket. Stops just outside the 65 needed to be careful as a cheeky wick could have caught them. Its also satisfying to see my automatic algo, written using pine script, producing a fantastic trade set up in seconds. Sam