Break of structure (BOS) forex StrategyPlease read all Details before using this indicator
This strategy is based on taking position after the break of a Previous High/Low swing happens (fixed time frame), the break of structure happens because of the swing happens then we go long or short respectively in this strategy.
I will be discussing the setting details through which you can make it work on different forex pairs.
Does it work on other pairs?
Yes, I have found similar back test results on other USD pairs.
Does it works on smaller time frame?
Yes it does work on smaller time frame , you have to understand the below concepts used and try different settings.
For the user the most important thing is to understand the settings of the indicator so that they can optimize the setting and get the best results:
This indicator contains the following IMPORTANT setting:
i. Fixed trading session for long trades (long position can be taken in that period of time only)
ii. Fixed trading session for short trades (Short position can be taken in that period of time only)
The concept behind restricting the time to go long or short is because in forex the particular pair move in a particular direction depending upon the currency and time zones.
This strategy works on different forex pairs, you need to find the best settings. I will be providing the best settings which works for this strategy and different pairs.
2. Choose Previous High/Low Timeframe
This is the most important option where you have to choose the timeframe for which you want H/L by default it is set to “D”. This timeframe H/L reference will be taken for taking trading decisions.
3.Setting for back test selection date range you can check the beck test of a particular time range.
4.You can check Long and Short positions performance separately, by unchecking the “Go_long” option it will remove all long positions from back test. Vice versa for “Go_short option”
5.Internal Bar Strength
IBS is simply an indicator where you buy on weakness and sell on strength, the cornerstone of any mean-reverting strategy.
It oscillates from zero to one and measures the relative position of the closing price relative to the High and Low.
IBS = (Close – Low) / (High – Low)
In the input setting the you can disable enable the IBS option from the strategy.
6. Parkinson volatility
Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day (can be changed in the setting, instead of day it can be set to any bar length)
The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price.
In the setting you have three option
i. Enter Volatility Threshold
If the Parkinson volatility value is greater than the the threshold value then it lets the trade happen.
ii.Set the high/low bar time frame for calculating Parkinson volatility. ( Set 60m by default)
Formula used as below:
high_=security(syminfo.ticker, input("60"), high)
low_=security(syminfo.ticker, input("60"), low)
hourlyRangeSquared = pow((log(high_) - log(low_)), 2)
dailyParkinsonVol = sqrt(sum(hourlyRangeSquared, 24) / (4 * log(2)))
7. "Enter no of contract size"
This setting helps you to set the contract size , by default it is set to 100000.
8. “Zigzag Filter Length” this setting is for SWING H/L Lookback. With the help of this I have ploted Swing Support and Resistance.
9.Futrther confirmation of trade is done through the RSI criteria. In this I have provided four kind of RSI confirmation you can test all by selecting any one of the four.
i. filter trade on the basis of BB of RSI (as shown in the image)
ii. filter trade on the basis of RSI Levels (RSI>50 for long, vice versa for short)
iii. filter trade by rsi>basis of BB of RSI(for long) & rsi<50(for short)
iv. filter trade by rsi>50(long) & rsi< basis of BB of RSI(short)
SELECT ONLY ONE OF THE ABOVE IN SETTING.
10.For Exiting the trade I have used the trailing SL you can change it in setting.
You can exit the trade using two targets (two take profit) using different size for exiting the trade.
If you want to take only on target then you have to make QANTITY of shares for 1st Exit as 100. Then you will exit all your position in the first target.
A big thanks to kodify.net there articles are very helpful kodify.net
Thanks to Mickey for providing assistance.
Thanks to stack overflow community for clearing the doubts.
Trading view official documentation on V4 of pine script also helped me.
Relative Strength Index (RSI)
Predict DinhChienFX's1. Identify the trend
* On the chart:
a. Part of Dow theory: multi-trades active at the impulse waves.
Uptrend trend:
- HH / Higher High: The following peak is higher than the previous one.
- HL / Higher Low: The back bottom is higher than the previous one.
Downtrend:
- LL / Lower Low: The back bottom is lower than the previous one.
- LH / Lower High: The posterior peak is lower than the previous one
b. Keltner price channel:
Uptrend: Go above Upper 2
Bearish trend: Down to Lower 2
* Under Chart:
Stochastic indicator: 21 past candles
- Uptrend: Index K and D surpass 80
- Buy zone: Index D is large 80.
----------------------------
- Downward trend: K and D indexes go down to 20.
- Sell zone: Index D is less than 20.
RSI indicator: 21 past candles
- Uptrend: value exceeds 80.
- Downward trend: value exceeds 20.
ADX indicator: Used to identify a strong trend
- ADX smooth: 9
- DI: 9
2. Entry point:
- Buy: wait to buy on the Upper Keltner channel.
- Sell (sell): wait for sell at the Lower Keltner channel.
3. Take profit, stoploss
ATR indicator (20) (Average true range) * 2
RSI and RVI on volume crypto BTC This strategy combine special version of RSI and RVI , where in this case , I am using the volume , for measuring the speed and change of volume to the price both up and down size together with the volatility spikes.
In this case instead of looking at the volume or volatility, I am combining them into one oscillator.
For best usage, I believe a big length of candles like 100 can get better results, and use it in this way as a lagging indicator.
Since most of the tests I made for futures, I applied a risk management in % of the price movement. For stop loss we have 20% while for TP, 100%. However in both cases, we will exit sooner, and thats going to be when condition from the oscillator says so.
For this we have a middle level, 50, which will act as both overbought and oversold areas.
At the same time I apply the posibility of using leverage into size calculations for more precise tests and try to get min-max out of it.
If you have any questions, please let me know !
Volume RSI Crypto This is a special version RSI, in this case , I am using the volume, which is measuring the speed and change of volume to the price both up and down size.
Volume RSI attempts to gauge price trend changes via changes in bullish and bearish movements.
Its formula is :
VoRSI = 100 - 100 / (1 + VoRS)
where VoRS is Volume Relative Strength over specified period which is calculated as a ratio between averages of Up-Volumes and Down-Volumes:
VoRS = (Average Up-Volume) / (Average Down-Volume)
The logic for this strategy is simple
We entry long when we have a crossover with the Overbought level and we entry short when we have a crossunder with oversold level.
If you have any questions, please let me knw !
Crypto rsi cci mf stoch rsi oscillators all in one strategyThis is a strategy based on the popular oscillator like RSI, CCI, MF and Stochastic RSI oscillators.
In this situation I use a very high length , 100 candles, and the middle point between overbought and oversold levels at 50.
The entry for long is when all oscilators are above 50, and the exit is when they are below 50 + plus some minor modifications
If you have any questions, please message me a private message !
RSMI have published that script not like oscillator, which in fact it is, because tradingview doesn't support dual plots in overlay=true and overlay=false. So I have decided that to show filter is better idea. Yes, it decrease potential profit on long term, but for me personally, it is much better to understand the direction of the market movement and take potential trades more seriously. Also about this script: in general based on RSI and works pretty nice on 1H timeframe. Yes, theoretically it can work on both 4H and 1D timeframes, but for this you need to change the settings that are not displayed in the inputs (I did not add them, due to the fact that they can be confusing, because I decided to add a filter). And about filter - it is one of the variations of the SuperTrend. According to House Rules, I cannot insert links here, but only if you are interested in trying this work in auto trading, you can follow the link (located even lower) and find there an algorithm with the same name.
Crypto Bot Signal 01 Strategy - Optimized RSI MomentumWelcome to our first Tradingview strategy.
We develop signals which have been specially developed for crypto trading bots. We publish new indicators at regular intervals.
This strategy is based on our "Crypto Bot Signal 01 - Optimized RSI Momentum" indicator, so that you can apply and test this strategy to your charts/pairs.
The basic idea of this script is to compare a low sensitive RSI with a low sensitive smoothed RSI to find the sweet spot to buy. This strategy is relatively robust against false breakouts, even if these can of course never be avoided. These signals occur relatively rare, but you can set an alarm up on different pairs simultaneously. The strategy works best in 5 min chart and in crypto pairs. It wasnt tested in Forex etc. but feel free to test it.
The sell strategy is based on trailing sell and not indicator based cause we believe in the power of long term uptrending crypto, compounding and dont want to sell at a loss in a false breakout. You can set the trailing sell limit to your own preferences or leave it at default value. Our goal is to reduce the average coin holding time to a minimum.
Feel free to adjust the parameters to your preferences:
- A lower value of the RSI and EMA length makes this indicator more sensitive
- A lower threshold value results in better trades but it reduces the amout of possible trades per day
- A higher threshold value results in more trades but the risk of false breakouts gets higher
- Adjusting the trailing sell parameters influences the coin holding time and the results
If there are questions, write them into the comments or contact us directly over the direct message. Happy Trading!
HiLo Extension This Strategy is finding high and low breaks of the day and enter into the trader based on RSI value and time value
1) This strategy is created for Indian Index like Nifty, Bank Nifty and so...
2) Trades are initiate only after 10:15 AM and before 3:10PM
3) High and Low of the day break will be check during the above time frame
4) RSI value will be check (RSI 50)
5) and trade will be initiate
6) Stop loss set as vwma 20...
Note: This Script will work fine in Index future chart not index spot chart...
This is just my idea only... Please back test yourselve, before using it..
Your comments are welcome!
[KL] RSI 14 + 10 StrategyThis strategy uses RSI14 for entry and exit signals; applies RSI10 for confirmation. The thresholds can adjusted in Settings.
Trailing stop can also be applied if wanted.
Tested on daily/hourly charts.
Delta-RSI Strategy (with filters)Delta-RSI Strategy (with filters):
This is a version of the Delta-RSI Oscillator strategy with several criteria available to filter entry and exit signals. This script is also suitable for backtesting over a user-defined period and offers several risk management options (take profit and stop loss).
Since the publication of the Delta-RSI Oscillator script, I have been asked many times to make it compatible with the Strategy Tester and add filtering criteria to minimize "false" signals. This version covers many of these requests. Feel free to insert your favorite D-RSI parameters and play around!
ABOUT DELTA-RSI
Delta-RSI represents a smoothed time derivative of the RSI designed as a momentum indicator (see links below):
INPUT DESCTIPTION
MODEL PARAMETERS
Polynomial Order : The order of local polynomial used to interpolate the relative strength index (RSI).
Length : The length of the lookback frame where local regression is applied.
RSI Length : The timeframe of RSI used as input.
Signal Length : The signal line is a EMA of the D-RSI time series. This input parameter defines the EMA length.
ALLOWED ENTRIES
The strategy can include long entries, short entries or both.
ENTRY AND EXIT CONDITIONS
Zero-crossing : bullish trade signal triggered when D-RSI crosses zero from negative to positive values (bearish otherwise)
Signal Line Crossing : bullish trade signal triggered when D-RSI crosses from below to above the signal line (bearish otherwise)
Direction Change : bullish trade signal triggered when D-RSI was negative and starts ascending (bearish otherwise)
APPLY FILTERS TO
The filters (described below) can be applied to long entry, short entry and exit signals.
RELATIVE VOLUME FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the current volume is greater than N times the average over the last M bars.
VOLATILITY FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the N-period average true range, ATR, is greater than the M-period ATR. If N < M, this condition implies increasing volatility.
OVERBOUGHT/OVERSOLD FILTER
When activated, the D-RSI-driven entries and exits will be triggered only if the value of 14-period RSI is in the range between N and M.
STOP LOSS/TAKE PROFIT
Fixed and trailing stop loss as well as take profit options are available.
FIXED BACKTESTING START/END DATES
If the checkboxes are not checked, the strategy will backtest all available price bars.
Strange RSI (sRSI) Backtesting strategyThis is the backtesting strategy module for my Strange RSI (sRSI) oscillator. The main scheme is grounded on setting up a long strategy for RSI crossing above a certain number, and shorting when RSI crosses below a certain number. This module allows you to:
*change these crossing thresholds
*change the Take Profit limits for long and short strategies
*change the RSI length
In this way, you may optimize to the parameters which fit best to your goals.
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!
Strategia RSI sempliceQuesto semplice script sfrutta il RSI a 14 periodi per comprare (solo long) quando RSI crocia al rialzo i 30 (oversold line) e chiude l'operazione quando RSI crocia al ribasso i 70 (overbought line).
La strategia è stata progettata sul TimeFrame delle 4H (su BTC) e dimostra come una semplicissima strategia con un solo segnale poteva portare un 20% dal 2020 ad oggi su BTC/USD
stratRsi_MiguelThis strategy was created with the aim of trying to predict upper moves and to protect from falling prices. It is intended to out perform going from bottom to top and to bottom again (ex: BTC from 10k to 20k to 10k again and remain with substancial profit from the rise). It will not outperform from bottom to top. It is advised to do not enter short positions with this strategy. Only long and close.
Adjust "Period in minutes" to your time frame. ex: 60 for 1h, 240 for 4h, 1440 for 1D.
This will adjust the lengh of ema (RSI).
Default value is 1440 for 1D time frame.
Long condition is triggered when a FastEma(RSI) is bigger then a MeddiumEma(RSI), the MeddiumRSI is bigger than the SlowerEma(RSI), the FastRSI is larger then the Highest(FastRSI) with a length equal to input "High Length"(default value=6) and ema(close) is rising.
The short Condition is triggered when rsi(close,14) is lower then lowest(FastRSI) with a lenght equal to input "Low Length" (default value=3) and ema(close) is falling.
You can set up the time range to evaluate the strategy from "Start date" (default: year=2018, month=1, day=1) to "End date" (default: year=2050, month=1, day=1). Default commission=0.075%. Default Initial capital = 100 USD
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.
hamster-bot RSI AlgoThis is a simple RSI based signal indicator. It is designed for algorithmic bot trading.
For best results, leave a time-frame of at least 1 hour.
When the RSI reaches 70, it gives a buy signal, and when the RSI reaches 30, it gives a sell signal. The position is then maintained until the opposite signal is given. If backtesting shows poor results, but looks like the opposite would be good, there is a simple switch in the settings to turn it over.
original indicator on the basis of which the strategy is made:
Bollinger Band with RSI
Using combination bollinger band and RSI indicator as guide to predict price volatility and the best entry point. The strategy logic is pretty straightforward where we're interested with close price that touches the lower bollinger band ; there are only two scenarios that will happened after the price reaches the lower band; the price might rebound from the lower bollinger band or drop lower and continue downtrend. To confirm the price movement, we use a second indicator which is the RSI to further investigate the price trend. For example, if the price reaches the lower bollinger band but the RSI value is not in the oversold region, we can conclude that the price will go lower and continue downtrend. If the RSI value is in the oversold region, we can use this price area as our entry point.
Stop loss is necessary to avoid losing too much capital if the RSI value lingers too long in the oversold region.
Best take profit area is when the price rebound above the middle bollinger band area/upper bollinger band or when the RSI reaches overbought region; whichever comes first.
Long entry:
RSI < 30 & close price < lower bollinger band
Exit entry:
RSI > 70
Default stop loss: -25%
Heikin Ashi+RSI+EMA Strategy 2.0 v4 [Cryptocurrency] by GodtrixHi,
I know a lot of people are looking for a more sophisticated and customizable strategy tool, I'm facing the same problem too, so I created one for myself and decided to share it for free trials and if you think this tool do what you wanted, you can contact me for the subscription "Premium" version.
I'll keep it simple with point forms, if you have any further inquiries or questions, please feel free to message me. Thank you.
Best profit plan with this strategy is you trade on Future leverage while you hold on to your coin, so that when price goes up, your coin value goes up, and at the same time, you trade with your leverage to earn even more, easily doubling up your total profit.
Benefits:
Fully customizable and you can easily personalized it and FINE TUNE it according to the market or coin you trading on.
The strategy is based on REAL PRACTICAL trading skills, so it works in real-world.
I fixed the "repainting" issue so the backtest it shows you IS ACCURATE when you run for real-time.
We all know one indicator is not going to help you win your trades, so this strategy combines ALL three: EMA for long+short term trend, HA for short term trend, RSI for entry/exit
This strategy is designed for LONG trade (Buy low, Sell high), not for SHORT trade.
This is not day trading, it is more to mid-term trading, where there's only few trades per month
Mainly is coded to work with 3Commas bot auto trading, so you only need to key in your Bot ID & Email Token.
Bot trading NOTE:
You need to replace the Alert Message with this: {{strategy.order.alert_message}}
One Alert will work for both Buy and Sell Order
If you using other Bot service, you can enter Custom Command too, so it works on any bot service.
Lastly,
regarding the setting advice, I would say you try playing with different settings and your objective is to achieve a backtest result that has:
1) Profitable is > 80%
2) Losing trades is nearly 0 or below 25% of your winning trades. Trick is using far stop loss %
3) Net Profit be almost same or more than "Buy & Hold Profit"
If you interested in our subscription version, message me for price.
Best Luck & a million dollar profit to you,
Godtrix BITSTAMP:BTCUSD BINANCE:DOTUSDT
Williams Alligator + RSI + T3CCIWilliams Alligator strategy is based on indicator developed by a legendary trader Bill Williams, an early pioneer of market psychology.
The strategy is based on a trend-following Alligator indicator, which follows the premise that financial markets and individual securities trend just 15% to 30% of the time while grinding through sideways ranges the other 70% to 85% of the time. Williams believed that individuals and institutions tend to collect most of their profits during strongly trending periods.
Although Alligator is a very strong tool it has a lot of weak signals and has lag span on entries and exits. We added RSI oscillator and T3CCI to clear market noises and weak signals. Moreover the approach we intoduced to the indicator allows to enter positions and close them earlier than orginal indicator which ensures stronger signals
The strategy supports traditional and cryptocurrency spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1D timeframe charts
The strategy can be and should be configured for each particular asset. You can change filters and risk management settings to receive the most advanced accurate alerts
Advantages of this script:
Good for long and Short positions
Produces strong long-term entries and closures of positions
Stable to short-term market fluctutions
Easy configuration with a user friendly interface
Backtests show high accuracy around 85.71%
High Net Profit percentage around 21.26%
High profit factor around 82.403
How to use?
1. Apply strategy to the trading pair your are interested in at 1D timeframe chart
2. Configure the strategy: change filters values and risk management settings until Strategy tester shows good results according to mathematical expectation
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions
Feel free to copy and use this script for your ideas and trading!
Scalping using RSI 2 indicator with TSLThis strategy implements a simply scalping using the RSI (calculated on two periods), the slopes of two MAs ( EMA or SMA ) having different lengths (by default, I use 50 and 200).
A trailing stop loss (%) is used.
Entry conditions:
.) Fast MA > Slow MA and Price > Slow MA and RSI < Oversold Threshold ------> go Long
.) Fast MA < Slow MA and Price < Slow MA and RSI > Overbought Threshold ------> go Short
Exit conditions:
.) Long entry condition is true and (close >= TP or close <= TSL ) ----> close short position
.) Short entry condition is true and (close <= TP or close >= TSL ) ----> close long position
The strategy performed best on Bitcoin and the most liquid and capitalized Altcoins but works excellent on volatile assets, mainly if they often go trending.
Works best on 3h - 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 study inputs. The purpose is not opening positions if the price goes sideways and the noise is way > than the signal.
Note:
.) the RSI length is 2;
.) the oversold Threshold is 90%;
.) the overbought Threshold is 10%;
.) by default, the trailing stop loss per cent is 1%;
.) by default, the fast MA length is 50;
.) by default, the slow MA length is 200;
.) by default, the MA used is EMA.
Cheers.
Example of Simple RSI Buy/Sell at a level and hold for 10 daysScript implements strategy:
1 Buy at RSI (10) < 30
2 Sell at RSI (10) > 40 or after 10 days
The strategy is not profitable for long term trading.
Ichimoku Backtester with TP, SL, and Cloud Confirmation OptionStarted with the Basic Ichimoku strategy from Mizuki32. Added Take Profit, Stop Loss (for both long and short), and a toggle to wait for confirmation from the cloud.
MRD StrategyI heard that MFI and RSI were most reliable when they are close together, so i made a script that takes the rough difference between the two, with some regression etcetera. What you see currently is 50.69% profitable trades, with a profit ratio of 1.3. Hope you like it.
