dirt cheap yet elegant RSI StrategyFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This is a good way to show off a good looking strategy, atleast in paper, with minimal effort involved in the making and usage. It can be made with the most minimal lines of code if needed to bring shame unto others. It only works in a few markets and who knows if it will actually rebound from the overbought or oversold levels but in case it doesn't I put in a time-based stop to exit in case of that worst case scenario. There's not much to it, good for trolling others, or serious business, you decide.
相對強弱指標(RSI)
RSI on VWAP Upgraded strategyFirst of all, the idea of apply RSI to VWAP was inspired by XaviZ; at least, that where I first saw that.
I simply applied the idea and searched for apply this on lower timeframe (M15) to increase the number of positions and improve the profit factor.
The conditions to enter are the same :
long : enter on RSI crossover oversold level
short : enter on RSI crossunder oversell level
To close position, I found a little change to apply :
long : close position when RSI(VWAP) went in overbought zone and crossunder the overbought level OR after being at least x bars in the overbought zone (parameter is 28 by default) => when the first condition happens
short : close position when RSI(VWAP) went in oversold zone and crossover the oversold level OR after being at least x bars in the oversell zone (parameter is 28 by default) => when the first condition happens
With this change, I got better results specially on BTCUSDTPERP (M15) where I reach a 6.8 profit factor with 119 trades closed. Not BAD !
The defaults parameters are the best found for BTCUSDTPERP (M15), but the strategy works fine for other pairs if you take time to find the rights combinations.
In this strategy you can change (with defaults in () ):
RSI length (28)
RSI overbought level (85)
RSI oversell level (30)
Number of bars before leaving as explain above (28)
The choice to take longs only, shorts only or both
The number of coin/token by position
The start date for backtesting
Please note that the script use a pyramiding parameter of 3 (can be changed in the first line of the script); that means that you can take up to 3 positions before closing. It lets you improve average enter price but increase the risk. 3 is the best I found to improve profit factor without expose myself too much.
This script would be better if automated because of the conditions of buy and sell.
It's only for educative purpose, not an advice to invest.
All my free scripts here : fr.tradingview.com
Leave a message and don't forget to follow me ;) !
IFR2The IFR2 strategy is based on the RSI indicator.
If the two period RSI is less than the overbought level (25 is the default, but you can configure it to be lower), a long position is placed at the close of the candle. If you are doing it live, you'd have to enter the market ~ 10 minutes before it closes, check the RSI, and buy if it is lower than your overbought level. This generates a discrepancy in the backtesting, but since it is a very small difference, it can be disregarded. Higher overbought levels generate more signals, but they mostly are unreliable. Lower values generates better yields, but they won't occur very often. This strategy is designed to be used in a daily graph, and I don't recommend using it in intraday periods, since you'll make too little money to compensate for the operational cost.
The strategy exits when the high price of two previous candles is reached. If the exit price is higher than the closing price of when you entered, you'll be at a profit, otherwise you'll be at a loss. The exit price is plotted in the graph and it's colors depends on the current open profit: positive values will be green, negative will be red.
This strategy completely disregards the current trend. Long orders will be placed even if you are at a strong down trend. This may seem odd, but you have to keep in mind that this is a volatility based strategy , not a trend following one.
This setup was designed by Alexandre Wolwacz, a.k.a. Stormer.
Growth Producer
Applicable to FTX:ETHPERP 15 min
Relative volatility index (RVI) that will determine the entry and exit points only when the volatility will start to increase and Money Flow index as an additional point for entry.
IMPORTANT
• Input Partial take profits in your Bot settings
• This is a trend strategy and works better in the trending market
• We added the trend identifier using the EMA and SMA interaction
• We added Take profit and stop loss levels
• We added inputs for the period selection, so you could see how the strategy is performing on a monthly basis.
• RVI for the entry conditions
• MFI was added for the additional entries.
• Partial Take-profits
Configurable BB+RSI+Aroon strategy backtest for binary optionsI wanted to share this strategy that I use myself for binary options trading. After trading binary options for several years I have learned that every single day is unique... assets behave differently every single day. So, when I start the day I want to know which is the optimum combination of parameters in my indicators that will give me the signals I want during the day and I get that by doing a quick backtest of the parameters combination in a specific asset that same day. When trading Binary Options I usually do 3 or 4 trades max per day and, yes, there are moments in which even with the right backtest data the signals fail (I strongly believe that there is no strategy that guarantees 100% success in any type of trade, and this one here is not an exception - but has worked well with some assets). So, here is my contribution to improve your productivity by automating a bit that backtesting part.
How this script works?
It is a simple price crossunder / crossover Bollinger Bands (BB) with a confirmation from RSI overbought / oversold signals and a fast Aroon. You will see the BB plotted with its confirmations:
(1) a blue circle that plots in the chart when the price is coming back inside the channel (within the Bollinger Bands)
(2) an orange square that plots in the chart when the RSI is coming back from the overbought or oversold areas
(3) a triangle that could be red or green depending on the Aroon confirmation: Red if Aroon Down is crossing down Aroon Up or green if vice versa.
The strategy will call for long (Call) if:
(1) the price is crossing over the lower band of the Bollinger Bands, coming back inside the channel
(2) Aroon Up is crossing or has crossed above Aroon Down
(3) RSI is crossing over the oversold limit
Consequently, the strategy will call for a short (Put) if:
(1) the price is crossing down the upper band of the Bollinger Bands, coming back inside the channel
(2) Aroon Down is crossing or has crossed below Aroon Up
(3) RSI is crossing under the overbought limit
You can configure:
1. Aroon length (keep it as fast as possible: 3, 4 or 5 are recommended values)
2. The point where Aroon Up and Aroon Down cross to make the signal valid (50 is by default. It could also be 25 or 75)
3. The RSI length
4. RSI Overbought and Oversold limits (they do not need to be symmetric: you can use 29 and 93, for example)
5. Bollinger Bands length and standard deviation
6. Number of bars to keep your option open. Depending on the timeframe used, this will determine the time you will keep your binary option open. If you are in a 1 min chart and keep this parameter in 3, then you will need to configure your binary option to expire in 3 minutes.
How to evaluate your backtest?
In Binary Options you only need the success rate, so what I do is that when I am manually updating the parameters I keep my strategy tester window open checking the winning trades vs losing trades ratio ("Percent Profitable"). I personally will only keep an asset monitored looking for signals that day if the Percent Profitable on the backtest of the same day is above 80%.
Regarding the code: it is open, public and free. No need to ask for permission if you want to copy+paste and use it in whole or parts.
Happy pip hunting!
-marco
RSI cyclic smoothed strategy backtestI added a few lines of code to "when to trade"'s code to see that backtest result of "RSI cyclic smoothed v2".
Wavetrend strategy with trading session for any time chartHello there
Today I am glad to provide you a strategy based on the wave trend oscillator. If you want to use it as an indicator, just disable long and short to not make any shops.
It works on all time frames.
The way it works its like an RSI .
We have overbought and oversold levels, and together with a channel and length we calculate the wave trend.
And then like in RSI, when we cross those lines we buy or sell depending on which lines we cross.
For risk management, so far its not implemented, but it can be done in many ways.
The only thing I applied is to always close a trade at the end of friday day. At the same time it can be applied the rule to sell when % of equity is lost, or at the end of a trading session like london,neywork and so on.
For any questions or doubts, let me know.
Hope you enjoy it :)
Simple and efficient swing RSI systemHello there,
I am glad to bring you another simple and efficient algorithm.
Its made purely from RSI which can be used directly or inversed. Its suited for swing trading 15 min chart or more minimum.
Can be adapted to all types of financial markets.
Rules for entry are easy : First we have the stop loss and take profits levels. Based on SL , we have the risk % of our equity, where the minimum lot we can trade its setted on 0.1 lots , can be modified tho.
For entries, we have the overbought and oversold levels.
Whenever we cross one of them we enter the trade . We close the trade whenever we reach sl/tp or inverse crosses.
Although its has a low win rate, its a very good system to catch big trends, so there you can recover all the small losses that you had in a untrend market .
Aswell it requires a lot of patience, since a position can be kept for weeks, even months.
Hope you enjoyed it .
EURUSD 5min london session strategyHey, today I bring you another strategy that I pull up together.
Its a KISS system ( keep it stupid simple )
We have 2 ma of 5 lenght each, one applied to the high and the other to low. With this we create a channel.
If the candle close above or below the channel we got a signal. Then we can optionally verify with the RSI to increase our chances.
At the same time, this system, only trades during the london session ( can be changed), and it has 2 rules, preferably no more than 5 trades / day, and no more than 2% risk of equity lost .
We also have a TP/SL system made of pips.
Enjoy it.
Simple and efficient 1h strategyThis strategy is made from a crossover of 2 ema : 4 and 8 in this case, together with a RSI of lenght 10 applied to hl2
The strategy is simple : we enter when we have a cross between the 2 ma's and rsi at the same time is in ascending or descending position crossing the middle line of 50.
For exit we have : at the end of a session( we trade only between london and newyork in this case, so we exit newyork), or through a tp/sl pip point system.
Hope you enjoy it.
MACD Strategy KMACK Rev 1.1Hull smoothed 45/10 macd
Please note that the macd/rsi values do not print unless the current day is Monday-Friday and the market will be open.
14 period hull smoothed rsi marks the rsi value at each macd reversal and will not signal a long position above 70 or a short position below 30
Macd and rsi will only display on the current day and will only display the last 2 hours
Lit candles occur after 0920 nyse time
Alerts or entries will only fire after 0931 nyse time
Entry signal will confirm with the 5 minute candle.
Long entry requires the current 5 minute candle to close>=hlc3
Short entry requires the current 5 minute candle to close<=hlc3
Buy/sell alerts will only fire in the last 10 seconds of the realtime (current) bar
Options:
Select bias
Modify macd lookback period(s)
Alerts:
Buy
Sell
Rsi crossing into the power region (60)
Rsi crossing into the weakness region (40)
Current strategy exits position upon signal opposite to selected bias, this is for simplicity.
There are currently no add-on strat signals but the alerts/lit candles will fire
Successful trades average >55% with an average profit factor of 3%
Net profit averages 3%
Max drawdown averages below 0.25%
Added order size input
Added show/hide strat signals. Still lights the bars green/red. Make sure your bar color setting in tv is set to a transparent color so you can see the bright reds and greens.
Added a couple lines of code that fire the alert/strat if macd reverses and the corresponding 5min candle does not agree and the following candle does agree. Added an average of 1.5% winning trades.
Message me for free trial access
Daytrade strategy RSI CCI EMA 4/8This strategy is designed for daytrade charts.
Its made from
EMA 4 / EMA 8 to check for crosses
RSI levels for overbough/oversold
CCI levels
For entry, we check first if the ema 4 crossed ema 8
Secondly we confirm by checking the level of RSI level
Finally we confirm with CCI level
If all of them are on the same page we enter.
For exit we have a fixed pip points system for TP/SL
Full strategy AllinOne with risk management MACD RSI PSAR ATR MAHey, I am glad to present you one of the strategies where I put a lot of time in it.
This strategy can be adapted to all type of timecharts like scalping, daytrading or swing.
The context is the next one :
First we have the ATR to calculate our TP/SL points. At the same time we have another rule once we enter(we enter based on % risk from total equity, in this example 1%, at the same time, lowest ammount for this example is 0.1 lots, but can be modified to 0.01), so we can exit both by tp/sl points, or by losing 1% of our equity or winning 1% of our total equity. It's dinamic.
The strategy is made from
Trend direction :
PSAR
First confirmation point :
Crossover between 10EMA and Bollinger bands middle point
Second confirmation
MACD histogram
Third confirmation
RSI overbought/oversold levels
For entries : we check trend with psar, then once ema cross bb middle point, we confirm together with rsi level for overbought/oversold and macd histogram ( > 0 or <0).
We exit, when we have opposite sign, like from buy to sell or sell to buy, or when we reach tp/sl points, or when we reach % basaed equity points.
It can be changed to be fixed lots, or fixed tp/sl , you just have to uncomment the size from entries, and tp/sl lines.
At the same time, it has the possibility if one desires, to trade only concrete forex session like european, asian and so on for intraday trading.
Hope you enjoy it.
Let me know how it goes.
TSS Strategy TESTThis is strategy for backtesting TSSPRO script and has all settings from this indicator.
Strategy has setup for 100$ initial capital and 100% entering to each position and 0.04% exchange comission plus take-profit and stop-loss and TSS script settings.
I also have settings for 15min timeframe for BTC & ETH with annually profit ~200-300% (no leverage. i.e. x1).
You can also specify in settings:
+Take profit
+Stop-loss
+Start & end time
Annually Profit Strategy statistics for Binance BTCUSDT 4H (no leverage. i.e. x1)
2020(august) +134%
2019 +93%
2018 +135%
PM me if you want to test it.
TRM StrategyThis is a strategy version of the "True Relative Movement" script:
It is virtually identical to the original script, except now you can back test different conditions and parameters.
TRM has 3 different conditions:Buy (Blue Bars), Hold/Take Profit (Gray Bars), and Sell (Pink Bars).
This script is only coded for Long only condition. It will exit the position when there is a sell signal, no take profit parameters are coded.
The example backtest results shown are on $AAPL with a starting Capital of 10k, with each trade investing 10% of capital. I cannot show results vs buy and hold (meaning re-investing 100% of capital) as this is against house rules. However, I HIGHLY encourage you to experiment with different trade parameters, time frames, symbols and settings for TRM. You will find that certain time frames perform better under different TSI and RSI settings. The "Slower paced trader" can use the "Slow settings" for TRM ( Instructions embedded in the settings window). This will produce less signals ect.... I am personally, constantly finding different settings that work for different ETF's, symbols ect...
As a discretionary trader, it is important to have a system that has an "edge". That is what the script is meant for... finding an edge to help you make sound trading decisions and help you manage risk accordingly.
Enjoy, and please DO NOT hesitate to ask me any questions.
RSPRO StrategyStrategy for RSPRO indicator
Based on resistance/support and bollinger band fluctuations this indicator also has filter with x bars after RSI overbought/oversell zones from settings.
There are two types of entries and signals: early (usually before trend changes) and main (when trend started to reverse)
Fits for BTC and any altcoins. And any assets. Good for both scalping and position trading (depends on timeframe that you use)
Best use it with big timeframes: 45 and 90min, 2 and 4 hours for position trading.
For scalping 5-30min timeframes are good too.
In Script settings you can specify:
1) RSI period, 14 by default.
2) Show early entries (squares), enabled by defaults.
3) Show main entries (triangles), enabled by defaults.
4) Enable/Disable filter to show main entries only after RSI overbought/oversell regions
Disabled by defaults and RSI is 67 for upper zone and 33 for lower zone.
You can also specify how many bars back before current bar this filter must do. It's 10 by default, you can vary it up to 90.
+With customisable start/end date, take profit and stop-loss.
This is invite only script. PM me if you want to test it.
Trading Technicals Strategy V1This strategy was developed in order to optimize 'bull' and 'bear' entry and exit signals based on a set of relatively basic but unique parameters, consisting of Exponential Moving Averages, candlestick formation, as well as data from the common RSI and MACD indicators.
Revisions should be expected as my goal with this strategy is to collect data by manipulating the existing entry and exit conditions in order to find the most successful results. I would like to optimize this strategy for a certain time period as well, as there are varying degrees of results between, say, the 5m chart and the 1h chart. I hope to revise this script when I have what I believe to be significantly improved results, and I would also consider the idea of publishing multiple strategies based on the code that works best for each time frame (V1 may work best for the 30m period, a future V2 may be best suited for the 45m period, etc.)
As of publishing this script, two significant points to note are:
1. There are no overnight holds - all positions are exited before market close
2. While you may see several instances in one day's time of the 'bull' signal rising, then returning to zero, a bullish position will not exit at zero, only - the position will remain active until a 'bear' position is signaled, at which point the 'bull' position will be closed and a 'bear' position will open. The same is true in the opposite scenario.
These points are of course subject to change throughout the optimization process. Lastly, my goal is not to look for the strategy that only yields the most profit, but the one that provides the most consistency in achieving those profits.
Custom Screener with Alerts [QuantNomad]Some time ago I published an example of simple custom screener in PineScript:
The only thing this screener did is created a dynamic label with screener output.
Recently TradingView announced alerts from the strategy with the possibility to add custom messages to alerts.
So using it I was able to create a bit more advanced screener which sends results as alert messages. With tools like Alertatron, you can easily redirect them to Telegram if you want.
It works for 40 symbols (limitation of the number of security calls).
To create your own screener you need to change only screenerFunc. The logic of this function is very simple, it outputs value you want to display in screener and condition based on which your screener should filter your stocks.
To create alerts for this screener create an alert from strategy and use {{strategy.order.alert_message}} as alert message.
Do you know now how to make this screener better? Let me know.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
Strategy Smart Forex Buy Sell Signal by LukasHi, I just convert my Smart Forex Buy Sell Signal into strategy.
BUY and SELL signal base on Price action, RSI , and Correlation between Forex Major Pairs.
It's only work for Forex Major Pairs because I only took their data.
Included alert : Spec, Buy, Strong
Recommended to wait for double signal :
Spec Buy > Buy or Spec Sell > Sell
Buy > Strong Buy or Sell > Strong Sell
So execute after the second signal triggered.
On this strategy I exclude Spec Sell/Buy on strategy test.
I use simple Profit/Loss 200/100 and 5 pyramid, you can play around with the setting.
And to improve the odds, simply use my Currency Strength Indicator to pick what pairs to trade. Choose Strong Vs. Weakness to get maximal profit. It help me to stay away from ranging pairs.
Any feedback are welcome :)
Charl osci strategyTrade trend continuation and reversal on forex, stocks and commodities.
Strategy uses RSI, MFI and macd divergence along with EMA.
EMA Crossover StrategyEMA Crossover Strategy
This strategy will enter a long trade when the 21 EMA crosses over the 55 EMA and both EMAs and the close price are above the 200 EMA (long-term trend).
It will enter a short trade when the 21 EMA crosses under the 55 EMA and both EMAs and the close price are below the 200 EMA.
It will exit a long trade when the RSI crosses under from overbought and indicates that the uptrend could be coming to an end.
It will exit a short trade when the RSI crosses over from oversold and indicates that the downtrend could be coming to an end.
Backtesting shows that it works best on:
30 MIN:
SYMBOL - PROFIT FACTOR
AUDCAD - 1.126
EURJPY - 1.12
EURNZD - 1.04
EURUSD - 1.65
GBPAUD - 1.27
USDCAD - 1.08
1 HR:
SYMBOL - PROFIT FACTOR
CADJPY- 1.23
EURNZD- 1.166
GBPJPY- 1.23
GBPUSD- 1.282
NZDJPY- 1.246
USDCHF- 1.344
3 HR:
SYMBOL - PROFIT FACTOR
CADCHF- 1.975
EURGBP- 1.776
EURNZD- 1.911
GBPAUD- 1.364
GBPCHF- 1.311
USDJPY- 1.162
XAUUSD - 2.00
As always, this strategy does not guarantee you to achieve profits and you should always use confirmations before entering a trade.
RSI - Rate of ChangeCode based on RSI lower value crossing over higher value
RSI Rate of Change of different lengths used in all parts of code
ADX and CCI use is limited in V1.0
Script provides 3 RSIs and overbrought and oversold for each of these RSIs. When RSI cross over each other clearly Buy and Sell signals are fired.
Lime is buy and Maroon means sell. Use it along with EMA
1. AutoBots Trading - BACKTEST: RSIBACKTEST: Relative Strength Index - RSI
1. Description: entry point The relative strength index ( RSI ) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, "New Concepts in Technical Trading Systems."
2. Strategy rules: defined based on the component, signal count, entry prices, open order count, position check, position averages, conditional closes and close signals.
3. Risk management: system was defined based on the choice of only long, only short or both sides. Defining the choice of take profit, stop loss and trailing stos (no repaint).
4. Symbol: IBOV (only)
5. Suggested Timeframe: 4H
6. Parameter for optimization: 3, 40, 65, side: both, tp: 4%, sl: 2%, ts: na
7. Walk forward simulation
7.1. In sample period: jan/2018-jan/2020
7.2. Out of sample period: jan/2020 - ago/2020
** For purpose educate only
