Combo Backtest 123 Reversal & High Low Bands 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
As the name suggests, High low bands are two bands surrounding the underlying’s
price. These bands are generated from the triangular moving averages calculated
from the underlying’s price. The triangular moving average is, in turn, shifted
up and down by a fixed percentage. The bands, thus formed, are termed as High
low bands. The main theme and concept of High low bands is based upon the triangular
moving average.
WARNING:
- For purpose educate only
- This script to change bars colors.
Cari dalam skrip untuk "backtesting"
Combo Backtest 123 Reversal & High - EMA Strategy 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
This indicator plots the difference between the High (of the previous period)
and an exponential moving average (13 period) of the Close (of the previous period).
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
It buy if indicator above 0 and sell if below.
WARNING:
- For purpose educate only
- This script to change bars colors.
Buy the Dips (by Coinrule)Taking your first steps into automated trading may be challenging. Coinrule's mission is to make it as easy as possible, also for beginners.
Here follows the best trading strategy to get started with Coinrule. This strategy doesn't involve complex indicators, yet was proved to be effective in the long term for many coins. Results seem to be improved when trading a coin vs Bitcoin.
The strategy buys the dips of a coin to sell with a profit. A stop-loss protects every trade.
Crypto markets offer high volatility and, thus, excellent opportunities for trading. Excluding times of severe downtrend, buying the dip is a simple and effective long-term trading strategy. The buy-signal is set to a 2% drop in a 30-minutes time frame.
Each trade comes with a take profit and a stop loss. Both set at 2%.
You can adjust these percentages to the market volatility as an advanced setup. You can backtest the outcomes using the backtesting tool from Tradingview
The strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Low volatility Buy w/ TP & SL (Coinrule)The compression of volatility usually leads to expansion. When the breakout comes, it can ignite strong trends. One way to catch a coin trading in an accumulation area is to spot three moving averages with values close to each other. The strategy uses a combination of Moving Averages to spot the best time to buy a coin before its breakout.
Buy Condition
The MA200 is greater than the MA100
The MA50 is greater than the MA100
According to backtesting results, the 1-hour time frame is the best to run this strategy.
Sell Condition
Take Profit: the price increases 8% from the entry price
Stop Loss: the price drops 4% from the entry price
The strategy has a profitability of 40-60% (depending on the market conditions). Having a ratio of two between Take profit and Stop Loss helps keeping the strategy profitable in the long term.
TrendMaAlignmentStrategy - Long term tradesThis is another strategy based on moving average alignment and HighLow periods. This is more suitable for long term trend traders and mainly for stocks.
Candle is colored lime if : Lookback Period has at least one bar with moving averages fully aligned OR None of the bars in Lookback periods has negatively aligned moving averages (More than half are positively aligned).
Candle is colored orange if : Lookback Period has at least one bar with moving averages fully aligned in negative way OR none of the bars in lookback has positively aligned moving averages (More than half are negatively aligned).
If either of above conditions are met, candle is colored silver.
Moving average alignment parameters:
Moving Average Type : MA Type for calculating Aligned Moving Average Index
Lookback Period : Lookback period to check highest and lowest Moving Average index.
HighLow parameters:
Short High/Low Period: Short period to check highs and lows
Long High/Low Period: Longer Period to check highs and lows.
If short period high == long period high, which means, instrument has made new high in the short period.
ATR Parameters:
ATR Length: ATR periods
StopMultiplyer: To set stop loss.
ReentryStopMultiplyer: This is used when signal is green buy stop loss on previous trade is hit. In such cases, new order will not be placed until it has certain distance from stop line.
Trade Prameters:
Exit on Signal : To be used with caution. Enabling it will allow us to get out on bad trades early and helps exit trades in long consolidation periods. But, this may also cause early exit in the trend. If instrument is trending nicely, it is better to keep this setting unchecked.
Trade direction : Default is long only. Short trades are not so successful in backtest. Use it with caution.
Backtest years : limit backtesting to certain years.
Part of the logic used from study's below:
Other strategies based on these two studies are below (which are meant for short - medium terms):
[blackcat] L2 VWAP CCI Trading SystemLevel: 2
Background
Volume-Weighted Average Price (VWAP) is a trading benchmark used by traders that indicates the average price that a security has traded for throughout the day based on volume and price. This is important as it gives traders insight into the trend and value of a security.
The Commodity Channel Index (CCI) indicator was created to identify bullish and bearish market cycles, as well as to define market turning points and the strongest and weakest market periods. CCI was developed for commodities and quickly found application in other markets, including forex.
Function
blackcat L2 VWAP CCI Trading System is an innovative indicator that combines vwap and cci indicator together. Not only long and short entries can be disclosed, but also the overbought and oversold zones are clearly observed.
Key Signal
cci ---> vwap cci indicator output
long --> long entry condition
short --> short entry condition
backtest --> indicator backtest scheme "NLX-L3 Backtest" required input source for strategy backtest
longentry --> visual long entry
shortentry --> visual short entry
Pros and Cons
Pros:
1. exact long and short entries are produced by overbought and oversold conditions
2. support "NLX-L3 Backtest" framework
Cons:
1. noise may be produced under extreme market condition
2. due to this is un-optimized version, time frame and trading pairs need to be selected
Remarks
Courtesy of @nilux "NLX-L3 Backtest" easy backtest framework for dummies.
Step by step backtest guide with "NLX-L3 Backtest" framework:
STEP1: Add this indicator into your chart
STEP2: Add "NLX-L3 Backtest" into your chart
STEP3: Click "Settings" gear icon of "NLX-L3 Backtest" to select "Select L2 Indicator" in the 1st line as "blackcat L2 VWAP CCI Trading System: backtest"
STEP4: Configure your backtest other settings under "NLX-L3 Backtest" framework
STEP5: Click "OK" and view the results in "Strategy Tester" tab
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Breakout Trend Trading Strategy - V2This is an alternate version of Breakout Trend Trading Strategy - V1
Only difference is, this strategy places stop orders based on calculated targets whereas V1 waits for price to close target levels and then places market orders. Hence, you will receive the target prices before trade executes in strategy.
Parameters are same as that of Breakout Trend Trading Strategy - V1
There is one additional parameter on Trade Type - which permits user to allow only breakout, pullback or reverse trading or combination of all.
Backtesting parameters remain same :
Capital and position sizing : Capital and position sizing parameters are set to test investing 2000 wholly on certain stock without compounding.
Initial Capital : 2000
Order Size : 100% of equity
Pyramiding : 1
Test cases remain same :
Positive : AAPL , AMZN , TSLA , RUN, VRT , ASX:APT
Negative Test Cases: WPL , WHC , NHC , WOW, COL, NAB (All ASX stocks)
Special test case: WDI
Negative test cases still show losses in back-testing. I have attempted including many conditions to eliminate or reduce the loss. But, further efforts has resulted in reduction in profits in positive cases as well. Still experimenting. Will update whenever I find improvements. Comments and suggestions welcome :)
Higher High / Lower Low StrategyThis is a very simple trend following strategy for Day Trading. The premise is to follow the Moving Average for the trend direction and buy/sell the dips and blips in the trend.
1. In an uptrend, when the candle action offers a "dip", or a lower high, the strategy will then buy on the close of the candle that breaks the high of the previous candle.
2. In a downtrend, when the candle action offers a"blip", or a higher low, the strategy will then sell on the close of the candle that breaks the low of the previous candle.
3. The strategy will go Long only or Short only, not both. It must be manually reversed in the settings when a new trend is established.
4. The start month and year allow you to backtest from then until now. It's not one month at a time.
5. The strategy uses a reversal of the Stochastic %K variable as the exist. The setting for Period K controls the exit for backtesting purposes.
6. The strategy uses a moving average to determine the trend. The setting for the Period MA controls the SMA.
7. The strategy has the option of filtering the number of trades based on the direction of the MACD and/or the Signal line. This can either reduce or increase the probability, and is highly dependent on the price action of the instrument.
WARNING: I am not a licensed financial advisor. This script is intended for entertainment purposes only. I highly recommend you manually enter and exit positions per your own Trading Rules, and do not blindly follow any software or recommendation. Use of this script is elective and at your own discretion, and risk.
If you like this script, please give it a Thumb's Up, and leave a comment. If you would like any custom scripts developed, contact me to discuss it. All of my work here is open and available, free of charge. It can be copied and edited to suit your needs.
Donchian Channels System [racer8]Donchian Channels was developed by Richard Donchian in 1949. They have been used with great success by the Turtles, a group of traders in the 1980s who managed to obtain returns of 80% annually. Truly incredible story.
This particular indicator is a trend trading system I coded that shows you when to enter long or short and when to exit those longs or shorts.
In addition, this indicator shows the past performance results that are incredibly valuable information for backtesting this system.
The high, mid, and low lines have been plotted to show how this system works. The blue line is the high line. The gray line is the mid line. The red line is the low line.
Entry signals are generated when the current close closes above the highest price for a long trade or below the lowest price for a short trade over n periods.
Exit signals are generated when the current close crosses the mid-line (aka. baseline) and closes.
Baseline = (highest price + lowest price)/2
I encourage you to play around with the settings, although I reccomend avoiding any period below 14.
This system is no bullshit, it's the real deal.
Good luck traders, and enjoy ;)
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.
Lagged Donchian Channel + EMAThis strategy is based on a lagged 24 periods Donchian Channel and a 200 periods EMA .
The enter positions are calculated this way :
Bull entry
1. we wait for the close of a candle below the channel and it must be below the 200 EMA
2. the following candle must be a green one and close in the lagged channel
3. we put a long order at the close of the second candle, a stop loss at the low of last 3 candles and a x3 take profit
Bear entry
1. we wait for the close of a candle above the channel and it must be above the 200 EMA
2. the following candle must be a red one and close in the lagged channel
3. we put a short order at the close of the second candle, a stop loss at the high of last 3 candles and a x3 take profit
For both long or short positions :
If the order is not filled, it's cancelled if the price reach 50% of the TP or if the price reach the stop loss level
The position is closed if a new bear/bull condition appears in the other side of the position (if a bear appears when you're long and inversement)
Features :
Position calculator's included with leverage option
Labels of position can be plotted or not
Bull/Bear channels can be plotted with red and green filled
All parameters can be changed for backtesting
Better results have been got with defaults parameters on LTCUSDTPERP in H1 timeframe => profit factor of 2.84 with almost 100 positions.
Hope this strategy will be useful and it would be cool if I could get feedback, comments or better combinations of parameters !!
Don't hesitate to like and leave a comment ;)
@Mysteriown
Super Guppy StrategyCM Super Guppy with Long/Short signals, backtesting, and additional options. Updated for PineScript v4.
COINBASE:BTCUSD
Features 2 primary modes, depending on your risk profile. These options are available in the settings:
"Early Signals" ON (default):
Prints a "long" on grey to green transitions AND red to gray transitions.
Prints a "short" on green to grey transitions AND gray to red transitions.
Will not print back-to-back repeated positions (i.e. green → grey → red will only print the first green → gray "short" signal and not print "short" twice).
Rotates long and short positions with no delay.
"Early Signals" OFF
Will close trades, but never open new ones, when guppy transitions to from any color to gray.
Open long: guppy transitions gray to green.
Close long: guppy transitions green to gray.
Open short: guppy transitions gray to red.
Close short: guppy transitions red to gray.
Does not rotate long and short positions back to back.
Additionally:
Can toggle on/off the 200EMA. Default is off.
Can toggle on/off short positions. Default is on.
In development: alerts
TST Signals & AlertsThis is an unofficial script for strategies tested on Trading Strategy Testing Youtube channel. Over time, most successful strategies will be added with an option to set strategy-specific alerts . TST Signals & Alerts will draw signals on the chart when the entry conditions are met. You can also opt for displaying indicators .
My script is meant for beginners but can be used by veterans too. Just pick one or two strategies, you don't want to flood your chart with conflicting signals. You may want to support your trades with a proper analysis. Is the market trending? Is there a fundament around the corner?
If a new signal occurs when there is still an open position, you are not supposed to take another.
The current version includes MACD and ADX + BB and BB strategies.
MACD strategy:
►Buy, when MACD crosses below the signal line when it is negative. The price must also be above 200 EMA.
►Sell, when MACD crosses above the signal line when it is positive. The price must also be below 200 EMA.
►This strategy was tested on 15-minute charts of EURUSD with reward-to-risk ratio 1,5 and win rate of 61% over 100 trades.
►►►MACD has to be added to your chart separately because it needs a new window. Ticking display indicators will not add MACD to your chart.
►►►MACD was also tested by a different channel I made a script for. You can view the results and the script here:
ADX + BB strategy:
►Buy, when the price is above 200 EMA and ADX becomes higher than 25.
►Sell, when the price is below 200 EMA and ADX becomes higher than 25.
►Stop-loss is either 200 EMA or Bollinger Bands level. Check the channel for more information.
►This strategy was tested on 5-minute charts of EURUSD, USDJPY, AUDUSD with reward-to-risk ratio 1,2 and win rate of 56% over 100 trades in total.
BB strategy:
►Buy, when the price is above 200 EMA and candle's low is below the lower Bollinger Band.
►Sell, when the price is below 200 EMA and candle's high is above the upper Bollinger Band.
►This strategy was tested on 15-minute charts of EURUSD with reward-to-risk ratio 1,5 and win rate of 52% over 100 trades in total.
►►►Due to the relatively low win rate of this strategy, you need to filter out potentially harmful signals with a proper analysis.
Bear in mind that backtesting performance doesn't guarantee future profitability. • Most systematic strategies are not suitable for each timeframe - if you use the different timeframe than the one it was tested on, the result can differ significantly. • You should perform your own backtest to base your trades on more data & to establish confidence in the selected strategy. • This script is not a replacement for proper analysis.
New strategies will be added when I have time. If I see multiple people asking for the same feature, I might agree to release it with a new version. I am not going to add input options in this script, it could come as a separate script though. I am in no way affiliated with the Youtube channel, so if you find the script helpful, shot me a message or send me some TradingView coins >)
If you encounter any bug, you can report it in a message or in comments. Support it with screenshot and relevant information such as a time when it occurred and what options were on etc.
Combo Backtest 123 Reversal & Fractal Chaos Bands 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
Stock market moves in a highly chaotic way, but at a larger scale, the movements
follow a certain pattern that can be applied to shorter or longer periods of time
and we can use Fractal Chaos Bands Indicator to identify those patterns. Basically,
the Fractal Chaos Bands Indicator helps us to identify whether the stock market is
trending or not. When a market is trending, the bands will have a slope and if market
is not trending the bands will flatten out. As the slope of the bands decreases, it
signifies that the market is choppy, insecure and variable. As the graph becomes more
and more abrupt, be it going up or down, the significance is that the market becomes
trendy, or stable. Fractal Chaos Bands Indicator is used similarly to other bands-indicator
(Bollinger bands for instance), offering trading opportunities when price moves above or
under the fractal lines.
The FCB indicator looks back in time depending on the number of time periods trader selected
to plot the indicator. The upper fractal line is made by plotting stock price highs and the
lower fractal line is made by plotting stock price lows. Essentially, the Fractal Chaos Bands
show an overall panorama of the price movement, as they filter out the insignificant fluctuations
of the stock price.
WARNING:
- For purpose educate only
- This script to change bars colors.
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
