CRYPTO 3EMA Strategy with Take Profit & Stop Loss based on ATRSimple 3 EMA Strategy with plotted Take Profit and Stop Loss
Entry condition:
- Middle EMA cross above the Slow EMA
- Set take profit and stop loss exit conditions based on ATR Indicator
Exit condition:
- Fast EMA cross below the Middle EMA
Strategy
Linear RSIThis is an attempt to create a strategy based on the previous post. The strategy, as before, is based on the RSI, which is calculated using linear regression, but with the addition of EMA. The crossing of EMA and RSI is a buy and sell signal. There are also two functions to buy (because I haven't decided which is really better), so please use checkbox to order which one you would like to use.
MA Emperor insiliconot StrategyConverted EmperorBTC's EMA crossover indicator for easy backtesting and added ability to:
Specify time period for backtesting
Specify order quantity
Toggle original indicators (default off)
Quoting EmperorBTC:
Entry is to be made when the
1. Cross over gives a P(Positive Sign) and the candle completely closes above the cross-over
2. When the Heikin Ashi turns green and the next green HA candle goes above the previous green HA candle.
3. The price should be at-least above the 0.236 Level from the Swing high.
Kindly note that the strategy only attempts to do check number 1, where it ensures the entry opens above the cross-over.
MA Strategy Emperor insiliconotThe Script offers 9 different EMAs with 14 different MA types.
The make use of the script is to find the entry on the 1-4 hour altcoins while using the in-built 13/21 crossover strategy to be used in sync with Heikin Ashi cross-over with Fib levels of 0.236 Fib level.
How to use it.
Entry is to be made when the
1. Cross over gives a P(Positive Sign) and the candle completely closes above the cross-over
2. When the Heikin Ashi turns green and the next green HA candle goes above the previous green HA candle.
3. The price should be at-least above the 0.236 Level from the Swing high.
All the Best.
EmperorBTC
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
72s Strat: Backtesting Adaptive HMA+ pt.1This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy.
If you haven't read the study or use the indicator, kindly go here first to get the overall idea.
The first strategy introduce in this backtest is one most basic already described in the study; buy/sell is when movement is there and everything is on the right side; When RSI has turned to other side, we can use it as exit point (if in profit of course, else just let it hit our TP/SL, why would we exit before profit). Also, base on RSI when we make entry, we can further differentiate type of signals. --Please check all comments in code directly where the signals , entries , and exits section are.
Second additional strategy to check; is when we also use second faster Adaptive HMA+ for exit. So this is like a double orders on a signal but with different exit-rule (/more on this on snapshots below). Alternatively, you can also work the code so to only use this type of exit.
There's also an additional feature which you can enable its visuals, the Distance Zone , is to help measuring price distance to our xHMA+. It's just a simple atr based envelope really, I already put the sample code in study's comment section, but better gonna update it there directly for non-coder too, after this.
In this sample I use Lot for order quantity size just because that's what I use on my broker. Also what few friends use while we forward-testing it since the study is published, so we also checked/compared each profit/loss report by real number. To use default or other unit of measurement, change the entry code accordingly.
If you change your order size, you should also change the commission in Properties Tab. My broker commission is 5 USD per order/lot, so in there with example order size 0.1 lot I put commission 0.5$ per order (I'll put 2.5$ for 0.5 lot, 10$ for 2 lot, and so on). Crypto usually has higher charge. --It is important that you should fill it base on your broker.
SETTINGS
I'm trying to keep it short. Please explore it further again. (Beginner should also first get acquaintance with terms use here.)
ORDERS:
Base Minimum Profit Before Exit:
The number is multiplier of ongoing ATR. Means that when basic exit condition is met, algo will check whether you're already in minimum profit or not, if not, let it still run to TP or SL, or until it meets subsequent exit condition, then it will check again.
Default Target Profit:
Multiplier of ATR at signal. If reached before any eligible exit condition is met, exit TP.
Base StopLoss Point:
You can change directly in code to use other like ATR Trailing SL, fix percent SL, or whatever. In the sample, 4 options provided.
Maximum StopLoss:
This is like a safety-net, that if at some point your chosen SL point from input above happens to be exceeding this maximum input that you can tolerate, then this max point is the one will be use as SL.
Activate 2nd order...:
The additional doubling of certain buy/sell with different exits as described above. If enable, you should also set pyramiding to at least: 2. If not, it does nothing.
ADAPTIVE HMA+ PERIOD
Many users already have their own settings for these. So in here I only sample the default as first presented in the study. Make it to your adaptive.
MARKET MOVEMENT
(1) Now you can check in realtime how much slope degree is best to define your specific pair/tf is out of congestion (yellow) area. And (2) also able to check directly what ATR lengths are more suitable defining your pair's volatility.
DISTANCE ZONE
Distance Multiplier. Each pair/tf has its own best distance zone (in xHMA+ perspective). The zone also determine whether a signal should appear or not. (Or what type of signal, if you wanna go more detail in constructing your strategy)
USAGE
(Provided you already have your own comfortable settings for minimum-maximum period of Adaptive HMA+. Best if you already have backtested it manually too and/or apply as an add-on to your working strategy)
1. In our experiences, first most important to define is both elements in the Market Movement Settings . These also tend to be persistent for whole season since it's kinda describing that pair/tf overall behaviour. Don't worry if you still get a low Profit Factor here, but by tweaking you should start to see positive changes in one of Max Drawdown and Net Profit, or Percent Profitable.
2. Afterwards, find your pair/tf Distance Zone . When optimising this, what we seek is just a "not to bad" equity curves to start forming. At least Max Drawdown should lessen more. Doesn't have to be great already, but should be better, no red in Net Profit.
3. Then go manage the "Trailing Minimum Profit", TP, SL, and max SL.
4. Repeat 1,2,3. 👻
5. Manage order size, commission, and/or enable double-order (need pyramiding) if you like. Check if your equity can handle max drawdown before margin call.
6. After getting an acceptable backtest result, go to List of Trades tab and find the biggest loss or when many sequencing loss in a row happened. Click on it to go to exact point on chart, observe why the signal failed and get at least general idea how it can be prevented . The rest is yours, you should know your pair/tf more than other.
You can also re-explore your minimum-maximum period for both Major and minor xHMA+.
Keep in mind that all numbers in Setting are conceptually in a form of range . You don't want to get superb equity curves but actually a "fragile" , means one can easily turn it to disaster just by changing only a fraction in one/two of the setting.
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If you just wanna test the strength of the indicator alone, you can disable "Use StopLoss" temporarily while optimising settings.
Using no SL might be tempting in overall result data in some cases, but NOTE: It is not recommended to not using SL, don't forget that we deliberately enter when it's in high volatility. If want to add flexibility or trading for long-term, just maximise your SL. ie.: chose SL Point>ATR only and set it maximum. (Check your max drawdown after this).
I think this is quite important specially for beginners, so here's an example; Hypothetically in below scenario, because of some settings, the buy order after the loss sell signal didn't appear. Let's say if our initial capital only 1000$ using leverage and order size 0,5 lot (risky position sizing already), moreover if this happens at the beginning of your trading season, that's half of account gone already in one trade . Your max SL should've made you exit after that pumping bar.
The Trailing Minimum Profit is actually look like this. Search in the code if you want to plot it. I just don't like too many lines on chart.
To maximise profit we can try enabling double-order. The only added rule coded is: RSI should rising when buy and falling when sell. 2nd signal will appears above or below default buy/sell signal. (Of course it's also prone to double-loss, re-check your max drawdown after. Profit factor play its part in here for a long run). Snapshot in comparison:
Two default sell signals on left closed at RSI exit, the additional sell signal closed later on when price crossover minor xHMA+. On buy side, price haven't met our minimum profit when first crossunder minor xHMA+. If later on we hit SL on this "+buy" signal, at least we already profited from default buy signal. You can also consider/treat this as multiple TP points.
For longer-term trading, what you need to maximise is the Minimum Profit , so it won't exit whenever an exit condition happened, it can happen several times before reaching minimum profit. Hopefully this snapshot can explain:
Notice in comparison default sell and buy signal now close in average after 3 days. What's best is when we also have confirmation from higher TF. It's like targeting higher TF by entering from smaller TF.
As also mention in the study, we can still experiment via original HMA by putting same value for minimum-maximum period setting. This is experimental EU 1H with Major xHMA+: 144-144, Flat market 13, Distance multiplier 3.6, with 2nd order activated.
Kiwi was a bit surprising for me. It's flat market is effectively below 6, with quite far distance zone of 3.5. Probably because I'm using big numbers in adaptive period.
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The result you see in strategy tester report below for EURUSD 15m is using just default settings you see in code, as follow:
0,1 lot for each order (which is the smallest allowed by my broker).
No pyramiding. Commission: 0.5 usd per order. Slippage: 3
Opening position is only using basic strategy #1 (RSI exit). Additional exit not activated.
Minimum Profit: 1. TP: 3.
SL use: Half-distance zone. Max SL: 4.5.
Major xHMA+: 172-233. minor xHMA+: 89-121
Distance Zone Multiplier: 2.7
RSI: Standard 14.
(From our forward-testing, the difference we get from net profit is because of the spread, our entry isn't exactly at the close/open price. Not so much though, but not the same. If somebody can direct me to any example where we can code our entry via current bid/ask price, that would be awesome!)
It's already a long post (sorry), think I'm gonna pause here. Check out the code :)
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DISCLAIMER: Past performance is no guarantee of future results , and so on.. you know the drill ;)
Please read whole description first before using, don't take 1-2 paragraph and claim it's the whole logic, you are responsible of your own actions and understanding.
Full strategy Psar+ adx + cmf + rsi This ia full strategy made with a combination of a trender, volume, volatility and oscillator.
In this case we only go long.
Indicators used:
Default PSAR
Default CMF
Modified RSI logic, not using OB/OS
ADX with EMA applied
The rules are : we check if we are in a uptrend on psar, together with a positive value in volume, rsi is above the middle line(50), using a big length, and lastly the ADx is superior to the ema ADx
For exit, we check the opposite, like downtrend psar, negative value volume, rsi < 50, and adx < ema adx
If you have any questions let me know.
TV Community AlgoTV Community Algo is a free TradingView script that I designed from the ground to benefit the traders of this community. It has plenty of features that you will enjoy, and I have included documentation for how to use this below!
Settings:
Basic:
Turn the Void Lines on or off
Turn the Dashboard on or off
Turn the Signal Bars on or off
Turn the Support & Resistance Lines on or off
Turn the EMA 8 and EMA 200 on or off
Turn the Buy & Sell Signals on or off
Turn the Fibonacci Retracement Tool on or off
Style:
Change the Dashboard's distance from the price action
Change the Dashboard's Color and Transparency
Change the Dashboard Text Color
Change the Fibonacci Deviation
Make the Fibonacci Retracement Tool reverse
Make the Fibonacci Lines extend left, right, both directions, or none
Turn Fibonacci Prices on or off
Turn Fibonacci Levels on or off and change between percent or value
Change Fibonacci Label Position from the left or the right
Usage:
This algo has many uses including but not limited to:
Finding entries and exits using the EMA 8 and EMA 200 crossovers
Using the Void Lines to identify bounces or reversals
Using the Signal Bars to identify trend and confirmation for entries and exits
Using the Dashboard information for confirmation and informational purposes
In the images below, I give a few examples of the many uses of the TV Community Algo!
VOID LINES
The Void Lines are very helpful when it comes to identifying reversals.
TV COMMUNITY ALGO DASHBOARD
The Dashboard is filled with useful information that all traders can benefit from!
SIGNAL BARS
The colored candles known as Signal Bars inform you of when the price action is above or below the midpoint of the Void Lines.
AUTO SUPPORT & RESISTANCE LINES
These lines help traders find accurate levels of support & resistance on all time frames, and the lines change color depending on if the price is above or below them.
EMA 8 AND 200
The EMA 8 and EMA 200 crossovers can be used as entry and exit signals.
BUY & SELL SIGNALS
The BUY & SELL signals can be used to find optimal entries and exits for trades on any time frame. Smaller time frames are best for scalping, while larger time frames are more suited for longer trades. When combined with the EMA lines and Dashboard information, these signals can produce incredibly profitable trades.
AUTO FIBONACCI RETRACEMENT TOOL
The Auto Fibonacci Retracement Tool allows you to plot perfect Fib Lines every time.
Conclusion:
I truly hope that the TV Community Algo benefits the TradingView community and that you all find some value in it. I worked very hard on this product and I would love to see it put to good use.
with love,
-Lemon 🍋
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
RSI OverTrend Strategy (by Marcoweb) v1.0Hi guys, just adapted the CCI Level zero Strategy with the Over Bought and Over Sold levels provided by the Relative Strength Index. The strat is opening a long position at RSI Oversold 30 Level closing it at RSI Overbought 70 Level flipping the position.
Enjoy :D
The Box Percent StratHi guys,
Version Zero (more work needed) of an idea I've been meaning to out into a strategy for a while. 🤯
This uses percent boxes🤔 instead of traditional indicators like RSI, MACD etc. 🤫
Takes the first close price of the series and creates a Top Band 10% up, buys if price reaches that level, and puts a stop on a Bot Band, 10% down
When the first trade is in profit by another 10%, it enters another trade and moves the stop of the first trade to breakeven ~ this way it only has one unit of risk at a time
/// Designed for LONG only on Daily, 2D or 3D Charts👌🏻
/// Uses fixed investment risk amount, meaning you're willing to lose that amount per trade
/// Limit buy to not overpay on entries
/// Idea Based on the Darvas system:
/// System only enters trades on strength, when prices equals of exceeds the green line
/// It ads onto the trades, but only *IF* the previous trade is in profit by the UpBoxSize percent size
/// The trailing stop loss is moved up, with the red line
/// A key idea is to only take one unit of risk at a time, meaning for a new add on trade to be taken, the previous trade should be in profit by the same box size as the new new trade's stop loss
/// This will keep adding trades again and again, and they will stop out at the same stop loss
/// Yellow Circles is an MA that filters out choppy areas -- this system only does really well on trending linear markets like: TQQQ, SSO, SPX, SPY
/// Base setting is 10% UpBox Size and 10% DnBox Size: 15% & 15% will be more accurate but fewer signals. 13% profit and 10% stop loss will give a higher risk to reward ratio
Trend Surfers - Premium Breakout + AlertsTrend Surfers - Premium Breakout Strategy with Alerts
I am happy today to release the first free Trend Surfers complete Breakout Strategy!
The strategy includes:
Entry for Long and Short
Stoploss
Position Size
Exit Signal
Risk Management Feature
How the strategy works
This is a Trend Following strategy. The strategy will have drawdowns, but they will be way smaller than what you would go through with buy and old.
As a Trend Following strategy, we will buy on strength, when a breakout occurs. And sell on weakness.
The strategy includes a FIX Stoploss determined by an ATR multiple and a trailing Stoploss/Takeprofit also determined by an ATR multiple.
You can also manage your risk by entering the maximum % you are willing to risk on every trade. Additionally, there is an option to enter how many pairs you will be trading with the strategy. This will change your position size in order to make sure that you have enough funds to trade all your favorite pairs.
Use the strategy with alerts
This strategy is alert-ready. All you have to do is:
Go on a pair you would like to trade
Create an alert
Select the strategy as a Trigger
Wait for new orders to be sent to you
Every Entry (Long/Short) will include:
Market Entry (Enter position NOW!)
Stoploss price
Position Size
Leverage
* If you do not wish to use leverage, you can multiply the Position Size by the Leverage. But doing that, you might end up with a position greater than your equity. Trading on Futures is better in order to have accurate risk management.
Exit signals:
When you receive an exit signal, you need to close the position ASAP. If you want to keep your results as close as possible to the backtest results, you need to execute quickly and follow what the strategy is telling you.
Do not try to outsmart the strategy
Leave your emotion out of trading! If you trust the strategy, you will have way better returns than if you try to outsmart it. Follow each signal you receive even if it doesn't seem logical at the moment.
Become a machine that executes. Don't look at fundamentals. Follow the trend! Trust the strategy!
I hope you enjoy it!
MACD BTC Long/Short Strategy v1.0This strategy will use only default MACD with Simple MA(Signal Line) mode 'ON' to determine when it's time to long/short using its histogram value.
Current version has 2 more entries added to increase more trades and profits along the way while maintaining low 'max drawdown' and high returns.
Entry will be opened when macd line(blue) crossed with signal line(red).
Entry will be closed when histogram increased/decreased opposite its previous histogram.
Re-enter will opened a position when histogram continues after X delay (Re-enter Delay setting).
Sculp will opened a position when histogram is still in light colors for X delay (Sculp Delay setting).
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
Volume AdvancedI have found out this script some time ago. In fact it is not my code (just have modified a little) and I don't know the author (couldn't find). So now I would like to share with the community, maybe somebody would have some idea how to make it better. The script itself is modified volatility oscillator (like ATR) based on volume, making a deal at the moment of price change. To recognize the current trend I have add simple function just to compare the current price with the N bars before, because sometimes in moments of high volatility there may be wrong signals.
Anti-Breakout StrategyAnti-Breakout Strategy
Description:
This is a contrarian entry strategy for trading false breakouts. The high/low of the breakout bar is used for the entry in the opposite direction.
To reduce repainting set ptype variable to OHL3.
Three moving average strategies
If the short term (Default 7) moving average cuts the medium term (default 25) moving average, BUY. Conversely, it generates the SELL signal. If the long term (Default 99) moving average cuts its short term moving average, Quick SELL. Conversely, it can be interpreted as Fast SELL. You can change the moving average and the number of days as you wish, and you can trade in the short or long term. I hope it was useful.
Risk Reduction Ultimate TemplateThis is a template not actually meant for trading. I picked two random oscillators. This is a template meant to turn into a live trading strategy, however.
It's literally just a specialized take profit/stop loss system. It is to ensure your bot doesn't make any bad moves that you wouldn't have manually. The code should be pretty well annotated. Putting this into my scripts has made them much better. I will work on a Multiple Trigger template next.
Basic SMA 200 StrategyThe SMA 200 basic strategy will be more than familiar to most traders.
This strategy is to stay with the programming language so to say the "Hello World" of trading.
The SMA 200 basic strategy is also one of the simplest strategies in trading. All that is required is the price and a 200 period moving average. Usually the strategy is used in the daily chart.
The rules are as follows:
Entry: A position is opened when the price crosses the moving average 200 from the bottom to the top.
Exit: The position is closed when the price crosses the moving average from top to bottom.
This is a trend following system and was originally used for trading stocks.
In my opinion, trading with the strategy is recommended to every beginner. There are strategies with better performance, but they are much more complicated to implement. And that's where the big advantage of the strategy can be seen.
Beginners are more than overwhelmed at the beginning of their trading career. Often beginners trade in the 5 min chart with 6 different indicators some signals that they have seen in a Youtube video.
Comparable to a beginner driver who immediately gets into a Porsche as his first car.
Beginners should follow simple rules and avoid intraday charts. Above all, you should do the actual work of a trader.A trader does not just press the mouse twenty times a day and then has easily earned 2000 $. A trader tests systems down to the smallest detail, optimizes and tests again, until he has found an almost " waterproof " trading system. The 200 SMA basic strategy is excellent for gaining experience, learning to follow the rules of a system and not to burn your money right away.
With this script you can test how successful the "simplest strategy in the world" would have been in the past.
Small tip: Do not trade Forex with it it will never work. The strategy is made for long trends and you can find them for example in the stock market.
Have fun with it! About a positive feedback I would be very happy of course.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
RSI Mean Reversion Bot StrategyI started developing this strategy as a way to plug in and test values before defining them in the bots on 3Commas, Coinrule, and Quadency. None of those bots performed the same way my script did and I kept working on it until the strategy finally yielded the same simulated results when paired with the Tradingview bot on Quadency. I looked at all the different RSI strategies already published and saw what each was missing and changed it in mine to make it better:
1. Backtest an actual timeframe by date and time
2. Define the RSI price source
3. Fully manipulate the RSI length
4. Define a stop loss that works
5. Pick Long or Short, or both, based on market conditions. Or compare side by side to decide which you want.
Triple EMA StrategyThis is my first ever script so any suggestions, recommendations or improvement ideas welcome!
This strategy is an implementation of a standard three exponential moving averages strategy (defaults: EMA1=5, EMA2=20 and EMA3=50 candles). Trades are executed if EMA1 crosses above/below EMA2 and they are both above/below EMA3. In addition, the close of the current candle must be above/below the previous one by at least the number of ticks you specify in the "buffer" parameter (default 150 ticks). This additional check eliminates many bad trades.
There is also a trailing stoploss which comes into play once the price has gone above/below its initial value which it then follows the price with to ensure the trade closes at the highest possible price.
I find this strategy works best on a 15 minute chart but feel free to play around and fine tune the various parameters. If you find a good setup that returns decent profits, I'd be keen to hear it!
Moving Regression Band Breakout strategyFollowing the introduction of the Moving Regression Prediction Bands indicator (see link below), I'd like to propose how to utilize it in a simple band breakout strategy :
Go long after the candle closes above the upper band . The lower band (alternatively, the lower band minus the 14-period ATR or the central line ) will serve as a support line .
Exit as soon as the candle closes below the support line .
To manage the risk of false breakouts, a fixed stop loss is set to the value of the support line at the time of opening a position. When the support line moves above the position opening price, shift the stop loss to breakeven.
The same logic but in reverse applies to short positions.
As an option, it is possible to allow long entries only when the slope of the Moving Regression curve is positive (and short entries when the slope is negative).
Model parameters:
Length and Polynomial Order define the lag and smoothness of the model.
Multiplier specifies the width of the channel.
As the default model parameter values, I set those that I found to provide optimal risk / reward ratio on the daily timeframe (for both trending and range-bound market). However, the settings are very flexible and can be well-adjusted to particular market conditions. Feel free to play around and leave feedback in the comments!
Here's the original Moving Regression Prediction Bands script:
