Grid System With Fake MartingaleThe proposed strategy is based on a grid system with a money management that tries to replicate the effect of a martingale without having to double your position size after each loss, hence the name "fake martingale". Note that a balance using this strategy is still subject to exponential decay, the risk is not minimized, as such, it would be dangerous to use this strategy.
For more information on the martingale and grid systems see:
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the security you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, generating fewer trades as a result.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after each win.
How It Works
Let's illustrate how we replicate a martingale without doubling our exposure with a simple casino example. Imagine you are playing roulette, and that you are betting on colors (black/red), your payout is 1 to 1, in the case you win, you will have your initial stake back plus a profit equal to your initial stake.
If your strategy is to recover any previous losses, you can double your stake each time you lose, once you win you will get back the previous losses plus a profit equal to your original stake, this is the martingale system. So how can we win back previous losses without having to double our stake? We could do that by doubling the payout ratio after a loss, so after a loss, we must use a payout ratio of 2:1, if we lose once again we must use a payout of 4:1...etc, our payout ratio would be subject to exponential growth instead of our stake.
Of course, the payout ratio is fixed with casino games, but in trading, we can manipulate the position of our take profit in order to replicate such effect, this is what this strategy is doing. So after a loss, we place our take profit such that a win recover our losses back plus generate a profit.
Advantages
The advantage of this approach is that unlike the martingale we don't double our position size, which instead can remain constant, this is a huge advantage as a martingale will require a significant capital in order to tank a series of losses.
Disadvantages
The main disadvantage of this method is that the price might never reach our take profit after a long losing streak, our balance would remain in the red and we couldn't do anything about it except reset the strategy.
Frictional costs are still a disadvantage, as such, we would need to place our take profits in order to account for them, while this is still better than purchasing additional shares, it minimizes the chances of the price reaching the take profit.
Conclusions
An alternative money management system replicating the effect of a martingale as been presented, we can see that such a system is far from being perfect, and it would be foolish to use it, however, it stills offer a convenient alternative to less aggressive progressive position sizing systems.
I have been receiving some messages from users criticizing me for exposing the martingale money management system, and I understand why but I can't agree, talking about it allow me to warn users against it, the grid-martingale methodology is will create more harm than anything else, the reward is only one side of the story and should always be compared against the risk, so always take a look at all the statics in a backtest.
Thanks for reading!
Shout-Out
This post was made possible thanks to my patrons:
@Happymono, @AmariMars, @kkhaial, @Nugehe, @LucF, @Nosmok, @iflostio, @DankBeans, @ecletv, @Neverstorm, @alex.crown.jr, @uk503, @xkingshotss, @vsov, @jbelka, @yatrader2, @hughza, @ganh
Trend
Setup Trend Following Bollinger Bands - ValenteBuy when the candle closes above upper BB
Sell when the candle closes bellow lower BB
Stop always on base line
Combo Backtest 123 Reversal & Extracting The Trend This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Extracting The Trend
The related article is copyrighted material from Stocks & Commodities Mar 2010
WARNING:
- For purpose educate only
- This script to change bars colors.
Grid Like StrategyIt is possible to use progressive position sizing in order to recover from past losses, a well-known position sizing system being the "martingale", which consists of doubling your position size after a loss, this allows you to recover any previous losses in a losing streak + winning an extra. This system has seen a lot of attention from the trading community (mostly from beginners), and many strategies have been designed around the martingale, one of them being "grid trading strategies".
While such strategies often shows promising results on paper, they are often subjects to many frictions during live trading that makes them totally unusable and dangerous to the trader. The motivations behind posting such a strategy isn't to glorify such systems, but rather to present the problems behind them, many users come to me with their ideas and glorious ways to make money, sometimes they present strategies using the martingale, and it is important to present the flaws of this methodology rather than blindly saying "you shouldn't use it".
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the symbol you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, as such higher values will generate fewer trades.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after any wins.
The Grid
Grid strategies are commons and do not present huge problems until we use certain position sizing methods such as the martingale. A martingale is extremely sensitive to any kind of friction (frictional costs, slippage...etc), the grid strategy aims to provide a stable and simple environment where a martingale might possibly behave well.
The goal of a simple grid strategy is to go long once the price crossover a certain level, a take profit is set at the level above the current one and stop loss is placed at the level below the current one, in a winning scenario the price reach the take profit, the position is closed and a new one is opened with the same setup. In a losing scenario, the price reaches the stop loss level, the position is closed and a short one is opened, the take profit is set at the level below the current one, and a stop loss is set at the level above the current one. Note that all levels are equally spaced.
It follows from this strategy that wins and losses should be constant over time, as such our balance would evolve in a linear fashion. This is a great setup for a martingale, as we are theoretically assured to recover all the looses in a losing streak.
Martingale - Exponential Decays - Risk/Reward
By using a martingale we double our position size (exposure) each time we lose a trade, if we look at our balance when using a martingale we see significant drawdowns, with our balance peaking down significantly. The martingale sequence is subject to exponential growth, as such using a martingale makes our balance exposed to exponential decays, that's really bad, we could basically lose all the initially invested capital in a short amount of time, it follows from this that the theoretical success of a martingale is determined by what is the maximum losing streak you can endure
Now consider how a martingale affects our risk-reward ratio, assuming unity position sizing our martingale sequence can be described by 2^(x-1) , using this formula we would get the amount of shares/contracts we need to purchase at the x trade of a losing streak, we would need to purchase 256 contracts in order to recover from a losing streak of size 9, this is enormous when you take into account that your wins are way smaller, the risk-reward ratio is totally unfair.
Of course, some users might think that a losing streak of size 9 is pretty unlikely, if the probability of winning and losing are both equal to 0.5, then the probability of 9 consecutive losses is equal to 0.5^9 , there are approximately 0.2% of chance of having such large losing streak, note however that under a ranging market such case scenario could happen, but we will see later that the length of a losing streak is not the only problem.
Other Problems
Having a capital large enough to tank 9any number of consecutive losses is not the only thing one should focus on, as we have to take into account market prices and trading dynamics, that's where the ugly part start.
Our first problem is frictional costs, one example being the spread, but this is a common problem for any strategy, however here a martingale is extra sensitive to it, if the strategy does not account for it then we will still double our positions costs but we might not recover all the losses of a losing streak, instead we would be recovering only a proportion of it, under such scenario you would be certain to lose over time.
Another problem are gaps, market price might open under a stop-loss without triggering it, and this is a big no-no.
Equity of the strategy on AMD, in a desired scenario the equity at the second arrow should have been at a higher position than the equity at the first arrow.
In order for the strategy to be more effective, we would need to trade a market that does not close, such as the cryptocurrency market. Finally, we might be affected by slippage, altho only extreme values might drastically affect our balance.
The Anti Martingale
The strategy lets you use an anti-martingale, which double the position size after a win instead of a loss, the goal here is not to recover from a losing strike but instead to profit from a potential winning streak.
Here we are exposing your balance to exponential gross but you might also lose a trade at the end a winning streak, you will generally want to reinitialize your position size after a few wins instead of waiting for the end of a streak.
Alternative
You can use other-kind of progressions for position sizing, such as a linear one, increasing your position size by a constant number each time you lose. More gentle progressions will recover a proportion of your losses in a losing streak.
You can also simulate the effect of a martingale without doubling your position size by doubling your target profit, if for example you have a 10$ profit-target/stop-loss and lose a trade, you can use a 20$ profit target to recover from the lost trade + gain a profit of 10$. While this approach does not introduce exponential decay in your balance, you are betting on the market reaching your take profits, considering the fact that you are doubling their size you are expecting market volatility to increase drastically over time, as such this approach would not be extremely effective for high losing streak.
Conclusion
You will see a lot of auto-trading strategies that are based on a grid approach, they might even use a martingale. While the backtests will look appealing, you should think twice before using such kind of strategy, remember that frictional costs will be a huge challenge for the strategy, and that it assumes that the trader has an important initial capital. We have also seen that the risk/reward ratio is theoretically the worst you can have on a strategy, having a low reward and a high risk. This does not mean that progressive position sizing is bad, but it should not be pushed to the extreme.
It is nice to note that the martingale is originally a betting system designed for casino games, which unlike trading are not subject to frictional costs, but even casino players don't use it, so why would you?
Thx for reading
Optimized Trend Tracker - Strategy VersionA brand new indicator from the developer of MOST (Moving Stop Loss) indicator Anıl Özekşi.
Optimized Trend Tracker OTT is an indicator that provides traders to find an existing trend or in another words to ser which side of the current trend we are on.
The original indicator was coded and published by Kıvanç Özbilgiç. You can access it from this link:
I transformed the indicator into a strategy and made some changes:
- You can run two different strategies. In the Settings section, you can test two different strategies, "Support Line Crossing Signals" and "Price / OTT Crossing Signals".
- Fixed the issue where BUY/SELL labels from the indicator script would hang in the air.
- I added a setting where you can hide BUY/SELL labels if you want.
- I painted the bars for BUY/SELL states, you can open and close in the settings section.
- As I do with every strategy script, I added a start and end date for the strategy test. You can specify the range you want to see working in the Settings section.
In addition, there were cases when the OTT line was reduced to zero in non-voluminous symbols; I changed this situation by making a small change in the code. I asked Kıvanç about the subject, I can update according to his answer.
Note : Strategy BUY / SELL tags and indicator BUY / SELL tags do not operate in the same bar because indicator tags are added when the next bar occurs. If you replay bars, you can observe label formations.
TÜRKÇE AÇIKLAMA
Orjinal indikatör Kıvanç Özbilgiç tarafından kodlanmış ve yayımlanmıştır. Bu linkten erişebilirsiniz:
İndikatörü strateji dönüştürdüm ve bazı değişiklikler yaptım:
- İki farklı strateji çalıştırabilirsiniz. Ayarlar kısmında Condition bölümünde "Support Line Crossing Signals" ve "Price/OTT Crossing Signals" olarak iki farklı stratejiyi test edebilirsiniz.
- İndikatör scriptinden gelen BUY/SELL etiketlerinin havada durması sorununu düzelttim.
- İsterseniz BUY/SELL etiketleri gizleyebileceğiniz bir ayar ekledim.
- BUY/SELL durumları için barları boyadım, ayarlar bölümünden açıp kapatabilirsiniz.
- Her strateji scriptinde yaptığım gibi, strateji testi için başlangıç ve bitiş tarihi ekledim. Ayarlar bölümünden çalışmasını görmek istediğiniz aralığı belirleyebilirsiniz.
- Ek olarak hacimsiz sembollerde OTT çizgisinin sıfıra indiği durumlar mevcuttu; kodda ufak bir değişiklik yaparak bu durumu değiştirdim. Kıvanç Bey'e konu ile ilgili soru sordum, cevabına göre güncelleme yapabilirim.
Not : Strateji BUY/SELL etiketleri ile indikatör BUY/SELL etiketleri aynı barda işlem yapmamaktadır çünkü indikatör etiketleri kendisinden sonraki bar oluşunca eklenmektedir. Barları replay yaptırırsanız oluşumlarını gözlemleyebilirsiniz.
EMA Slope Cross Trend Follower StrategyThis strategy uses the cross of the slopes of two EMAs having different lengths to generate trend follower signals. By default, I use 130 and 400, which behave very well.
The conditions which make the strat enter the market are:
- Fast Slope > Slow Slope and price > EMA 200 : go Long
- Fast Slope < Slow Slope and price < EMA200 : go Short
The simple slopes cross in the opposite direction, closes the position.
The strategy performs best on Bitcoin and the most liquid and capitalized Altcoins, but works greatly on volatile assets as well, in particular if they often go trending.
Works best on 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the strategy inputs. The purpose is not opening positions if price is going sideways and the noise is way > than the signal.
Enjoy it!
cATRpillar Strategy**This is my first strategy on the Pine editor, any tips or tricks from the community would be awesome!
This strategy was developed from my indicator "cATRpillar". it uses the ATR range values to determine entry, and uses EMA values to determine an exit if the market goes against it.
EMA Slope Trend Follower StrategyThis strategy is based on the slope of the EMA130.
Over that slope, the script calculates two EMAs (9,21) which are used to generate the main entry and exit signal.
In particular, the strategy enters a LONG position when EMA9 > EMA21. On the contrary, it closes the LONG and opens a SHORT when EMA9 < EMA21.
When the slope of the EMA130 is rising, it means that the price is accelerating upwards, fueling an uptrend. Conversely, when the slope is falling, it means that the price is slowing down, falling into a possible downtrend.
Calculating and analyzing two EMAs (fast and slow) over the slope of a medium length EMA instead of the price anticipates a lot the signal. In this way, the strategy never miss a trend.
In order to minimize false positives (entering useless positions), I included two filters, which can be optionally turned on:
- Trend Filter: When the price is above EMA200, the strategy opens ONLY LONG positions. If price < EMA200, only shorts allowed. If the slope gives a long signal and price is below EMA200, for example, the eventual SHORT position is closed, but the LONG entry is postponed to the moment when both conditions (slope uptrending and price > ema200) are met.
I recommend always turning on this filter, as it dramatically decreases drawdown.
- Volatility Filter: When the standard deviation of the last 20 candles is below its 50 samples moving average, no positions are opened, as market is going sideways. The purpose of this filter is to prevent false positives (positions which open and close in a matter of candles due to false signals in sideways market).
I recommend turning on this filter only on low time frames.
This strategy works great on medium time frames (like 4h, 6h, daily), since it spends way less in fees, opening less positions.
It works good on low TFs too (up to 1h, didn't test lower ones), provided Volatility filter is turned on and parameters are set according to the asset.
Commission included in calculations: 0.06% (it's the taker commission on BitMEX with the 10% discount obtainable with any referral link)
Slippage included in calculations: 2 ticks (BitMEX has very liquid order books, and slippage doesn't happen very often unless a huge position size is used).
FTSMA - Trend is your frendThis my new solid strategy: if you belive that "TREND IS YOUR FRIEND" this is for you!
I have tested with many pairs and at many timeframes and have profit with just minor changes in settings.
I suggest to use it for intraday trading .
VERY IMPORTANT NOTE: this is a trend following strategy, so the target is to stay in the trade as much as possible. If your trading style is more focused on scalping and/or pullbaks, this strategy is not for you.
This strategy uses moving averages applied to Fourier waves for forecasting trend direction.
How strategy works:
- Buy when fast MA is above mid MA and price is above slow MA, which acts as a trend indicator.
- Sell when fast MA is below mid MA and price is below slow MA, which acts as a trend indicator.
Strategy uses a lot of pyramiding orders because when you are in a flat market phase it will close 1 or 2 orders with a loss, but when a big trend starts, it will have profit in a lot of orders.
So, if you analize carefully the strategy results, you will note that "Percent Profitable" is very low (30% in this case) because strategy opened a lot of orders also in flat markets with small losses, BUT "Avg # bars in winning trades" is very high and overall Profit is very high: when a big trend starts, orders are kept open for long time generating big profits.
Thanks to all pinescripters mentioned in the code for their snippets.
I have also a study with alerts. Next improvement (only to whom is interested to this script and follows me): study with alerts on multiple tickers all at one. Leave a comment if you want to have access to study.
HOW TO USE STRATEGY AND STUDY TOGHETER:
1- Add to chart the strategy first, so your workspace will be as clean as possible.
2- Open the Strategy Tester tab at footer of the page.
3- Modify settings to get best results (Profit, Profit Factor, Drawdown).
4- Add study with alerts to your chart with same setting of strategy.
I WILL PROVIDE A DETAILED QUICK INSTALLATION GUIDE WITH THE STUDY!
Please use comment section for any feedback or contact me if you need support.
MA-EMA Crossover LTJust a simple strategy based on dynamic zones by Allenster. Still a work in progress.
Trend Trader Strategy with MACDThis is plots the indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998
The strategy I use has already been published explicitly by HPotter, you can review the core code from there.
I have converted the existing strategy codes that have been published into the strategy and the result looks great but I noticed that the indicator performed too much in short periods like 1 minute and I thought it would be healthier to get MACD approval. MACD approval will come selected by default. When the indicator reaches the buy status, if the macd histogram is positive, it enters the long process. By removing this confirmation from the settings window, you can see the normal signal frequency of the indicator.
This strategy is mainly based on trend signals. In fact, I am publishing this strategy to use in alternating trading for Bear-Bull crypto coins.
What does the bear-bull comparison mean?
You can open the same chart in the ETHBEAR / USDT symbol as opposed to the ETHBULL / USDT symbol that appears on the chart. When BUY signal comes in bull symbol, SELL will come in bear symbol. When BUY signal comes in bear symbol, SELL will come in bull symbol. In this way, very fast and very high profit can be obtained by alternating operation.
KPL Swing StrategyThe KPLSwing indicator is a simple trend following mechanical trading system which automates the entry and exit.
The trading system is extremely simple and easy to use and removes emotions from trading.
The trading or investing logic is simple.... buy on close above 20 days high and sell on close below 20 days low.
No targets are given as profits are unknown and is whatever the market gives. Losses are limited via position sizing.
FRAMA - Supertrend strategyFRAMA Strategy
I found this strategy on internet, in a well-known forex forum.
I have translated the two indicators mentioned in that strategy (originally in mq4) in pine script.
Thanks to Fractured and Shizaru for the FRAMA snippets, to mejialucas for Supertrend snippet, to JayRogers for trade management snippet and to Trost for backtesting snippet.
I also added some code to have FRAME with a deiiferent timeframe
Indicators set-up:
FRAMA period 24 (it was originally 25 but it's better to use an even number)
FRAMA timefarme lower then chart timeframe (e.g. daily chart and weekly FRAMA)
Supertrend indicator as it is.
Of course, it is better to adapt above setting to traded instrument.
Long/Buy rules:
1 - Enter at crossover between FRAMA and its signal
2 - Option to filter entries based on supertrend signal
3 - Exit when Supertrend change direction;
4 - Exit long when short signal occurs;
Short/Sell rules:
1 - Enter at crossunder between FRAMA and its signal
2 - Option to filter entries based on supertrend signal
3 - Exit when Supertrend change direction;
4 - Exit short when long signal occurs;
VERY IMPORTANT NOTE: this is a trend following strategy, so the target is to stay in the trade as much as possible (drawdown my be high). If your trading style is more focused on scalping and/or pullbaks, this strategy is not for you.
Credits to who developed this startegy (google it).
Thanks to all pinescripters mentined in the code for their snippets.
I have also a study with alerts.
Please use comment section for any feedback or contact me if you need support.
Trend Balance Point System by Welles WilderThis is the original Trend Balance Point System created by Welles Wilders in 1978, rules can be found in his book New Concepts in Technical Trading Systems.
Grover Llorens Activator Strategy AnalysisThe Grover Llorens Activator is a trailing stop indicator deeply inspired by the parabolic SAR indicator, and aim to provide early exit points and reversal detection. The indicator was posted not so long ago, you can find it here :
Today a strategy using the indicator is proposed, and its profitability is analyzed on 3 different markets with the main time frame being 1 hour, remember that lower time frames involve lower absolute price changes, therefore we are way more affected by the spread, and we can require a larger position sizing depending on our investment target, trading higher time-frames is always a good practice and this is why 1 hour is selected. Based on the result we might make various conclusions regarding the indicator accuracy and might have ideas on future improvements of the indicator.
I'am not great when it comes to strategy design, i still hope to share correct and useful information in this post, let me know your thoughts on the post format and if i should make more of these.
Setup And Rules
The analysis is solely based on the indicator signals, money management isn't taken into account, this allow us to have an idea on the indicator robustness and resilience, particularly on extremely volatile markets and ones exhibiting a chaotic structure, altho it is normally good practice to close any position before a market closure in order to avoid any potential major gaps.
The settings used are 480 for length and 14 for mult, this create relatively mid term signals that are suited for a trend indicator such as the Grover Llorens Activator, unfortunately we can't infer the indicator optimal settings, thats how it is with any technical indicator anyway.
Here are the rules of our strategy :
long : closing price cross over the indicator
short : closing price cross under the indicator
We use constant position sizing, once a signal is triggered all the previous positions are closed.
Description Of The Statistics Used
Various statistics are presented in this post, here is a brief description of the main ones :
Percent Profitability (higher = better): Percentage of winning trades, that is : winning trades/total number of trades × 100
Maximum Drawdown (lower = better) : The highest difference between a peak and a valley in the balance, that is : peak - valley , in percentage : (peak - valley)/peak × 100
Profit Factor (higher = better) : Gross profit divided by gross loss, values under 1 represent gross losses superior to the gross profits
Remember that more volatility = more risk, since higher absolute price changes can logically cause larger losses.
EURUSD
The first market analyzed is the Forex market with the EURUSD major pair with a position sizing of 1000 units (1 micro lot). Since October EURUSD is not showing any particular strong trend but posses a discrete rising motion, fortunately cycles can be observed.
The equity was rising until two trades appeared causing a decline in the equity. Before October a bearish market could be observed.
We can see that the equity is rising, the trend still posses various retracements that affect our indicator, however we can see that the indicator totally nail the end of the trend, thats the power of converging toward the price.
In short :
$ 86.63 net profit
340 closed trades
37.65 % profitable (thats a lot of loosing trades)
1.19 profit factor
$ 76.67 max drawdown
Applying a spread would create negative results (in general the average spread is used), not a great start...
BTCUSD
The cryptocurrency market is relatively more volatile than others, which also mean potentially higher returns, we test the indicator using certainly the most traded cryptocurrency, BTCUSD. We will use a position sizing of 1 unit.
In the case of BTCUSD the strategy balance is relatively stationary around the initial capital, with of course high dispersion.
from september to december the market is bearish with various ranging periods, no apparent cycles can be observed, except maybe in the ranging period of october, this ranging period is followed by a non linear trend (relatively parabolic) that the indicator failed to capture in its integrity (this is a recurrent problem and it is starting to piss me off xD).
In short :
$ 2010.64 net profit (aka how i bet the crypto market)
395 closed trades
38.23 % profitable
1.036 profit factor
$ 5738.01 max drawdown (aka how i lost to the crypto market)
AMD
AMD stand for Advanced Micro Devices and is a company focused on the development of computer technology, i love the microprocessor market and i really like AMD who start this year in a pretty great way with a net bullish trend.
The performance of the indicator on AMD is decent (at last !) with the equity producing many new higher highs. The indicator performance still drop in the middle end of 2019 with a large equity drawdown of 17$ caused by the gap of august 8. Unfortunately AMD, like lot of well behaving stocks can only tells us that the indicator has good performances on heavily trending markets with no excess of noise or chaotic structures.
In short :
$ 17.86 net profit (Enough for a consistent lunch)
295 closed trades
36.27 % profitable
1.414 profit factor
$ 10.37 max drawdown.
Conclusion
A strategy using the recently proposed Grover Llorens activator has been presented. We can easily conclude that the indicator can't possibly generate long term returns under chaotic and volatile markets, and could even produce unnecessary trades in trending markets without much parasitic fluctuations such as noise and retracements (think about a simple linear trend) since the indicator converge toward the price and would therefore automatically cross over/under the trend, thus guaranteeing a false signal.
However we have seen its ability to provide accurate early reversal detection shine from time to time, thus over performing lagging indicators in this aspect, however the duration of price fluctuations isn't fixed at a certain period, the rate of convergence should be way faster during volatile fluctuations, of moderate speed during more cyclic fluctuations, and really slow with apparent long term trends, this could be achieved by making the indicator adaptive, but it won't really make it necessarily perform better.
That said i still believe that converging trend indicators are really interesting and aim to capture the non lasting behavior of price fluctuations, they shouldn't receive so much hate (think about the poor p-sar).
Thanks for reading !
UT Bot Strategy with Backtesting Range [QuantNomad]UT Bot indicator was inially developer by @Yo_adriiiiaan
Idea of original code belongs @HPotter
I can't update my original UT Bot Strategy so I publishing new strategy with backtesting range included.
I just took code of Yo_adriiiiaan, cleaned it, deleted all useless pieces of code, transformet to v4 and created a strategy from it.
Also I added an input that allows you to swich to signals from Heiking Ashi. I saw that author uses HA for the indicator and on HA it look much nices then on real candles.
Do not add this strategy to HA candles, use usual candles and this checkbox.
Original script:
UT Bot
Donchian Breakout StrategyThis strategy buys when the Donchian Channel is broken to the upside and uses the lower Donchian Channel line as a trailing stop. You can also choose to use a moving average as a filter to keep you out of trades that are counter trend.
You can also configure which dates you want to backtest, so you can see how this behaves over specific time frames and market cycles.
UT Bot StrategyUT Bot indicator was inially developer by @Yo_adriiiiaan
Idea of original code belongs @HPotter
I just took code of Yo_adriiiiaan, cleaned it, deleted all useless pieces of code, transformet to v4 and created a strategy from it.
Also I added an input that allows you to swich to signals from Heiking Ashi. I saw that author uses HA for the indicator and on HA it look much nices then on real candles.
Do not add this strategy to HA candles, use usual candles and this checkbox.
Original script:
Strategy based on the principles of Price ActionIt is considered the percentage of candles with low and high closure for a certain period. Then, a moving average is built from these values. When the moving average of the ratio of tall candles to low candles is greater than the ratio of low candles to high, then long (that is, when the green line crosses the red). And vice versa - a condition for short. It also works on crypto with other settings. Idea for improvement: you can make partial exit by taking, at certain profit levels, the chart will be more stable. Result with a commission of 0.004% You can create an optimizer, and use this strategy on any liquid asset. (Sorry for google translator)
QuarryLake v4As some of you requested, I will make the code for QuarryLake Open for you all.
I have also updated the script in version 4.
This strategy consists of 3 indicators that I found works quite well together.
Keltner Channel, Waddah Attah Explosion, and Volatility Stop .
KC Period = 200
KCATR = 5
Vstop Period = 3
Vstop Mult = 1.5
Long when close > KC, close > Vstop, WAE trendUp
Short when close < KC, close < Vstop, WAE trendDown
Works well on BTCUSD XBTUSD , as well as other major liquid Pair.
This strategy utilized a modified Kelly position sizing for BTCUSD Bitstamp , feel free to modify it to your needs.
And lastly,
Save Hong Kong, the revolution of our times.
SELO Triangular WaveBased on master indicator creator @AlexGrovers scripts i just combined some of his work.
Result depends on settings and pairs and is not forward tested yet although the backtest can give some good results.
GetTrend Strategy (modified & ported to PS4)This is a port to PS4 of an amazingly simple solution that may have good prospects as a standalone indicator, an add-on or an integral part of a trading system. Many thanks to its authors and contributors.
Bollinger Band Strategy (Basic) Version 1 This strategy is for learning purposes only. Pay special attention to these strategies on longer aggregation periods (like 1 hr chart or more). Don't expect accurate results when you set a limit to 10 cents above your entry to be accurate. For example if you set the chart to 1 day, the price may move down and hit a stop 10 times then tag your limit. If this doesn't make sense, just don't use strategies here. Learn more first. That being said, I don't have specific recommendations for each aggregation period, backtesting isn't always perfect.
Now then, this strategy can be used as the traditional BB method by setting the "Stop" and "Limit Out" to like 10000, check "Reversal Entry" and uncheck "Limit Time of Day" This will keep the strategy running just reverse your position when price crosses outside each band.
INPUTS:
Length - length of WMA that I used for mean of Bollinger Band (this may suppose to be SMA, too bad)
Source - O-H-L-C basis for WMA
Deviation - normal Standard deviation that would be set when using Bollinger Band
Trailing stop check box - your stop value will be either a hard stop or trailing stop for an exit
Stop - the stop value - remember you can set this really high and it won't stop out
Limit Out - the limit value for exit
Reversal Entry check box - This changes each entry from a reversal (traditional idea of BB) to enter a trend trade - hopefully version 2 will have choice to trend one direction and reversal in the other.
Limit Time of Day - Especially when trading futures, you may want to only trade a specific time of day, when this box is checked, you can set the entry times below, exit will still only occur based on limit/stop or a flip entry order (the opposite entry condition is met)
Tips:
when I don't know a thing about a price range, like gold. I can set the limit out to 10000 and play with a trailing stop to get a better idea of what is even possible before tuning further.