Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTESTSmoothed Heikin Ashi Trend on chart - Backtest
This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a Heikin Ashi trend from red to green and vice versa. The original indicator can be found in the scripts section of my profile.
This particular back test uses this indicator with a Trend following paradigm with a percentage-based stop loss.
Note, that backtesting performance is not always indicative of future performance, but it does provide some basis for further development and walk-forward / live testing.
Testing was performed on Bitcoin , as this is a primary target market for me to use this kind of strategy.
Sample Backtesting results as of 10th June 2022:
Backtesting parameters:
Position size: 10% of equity
Long stop: 1% below entry
Short stop: 1% above entry
Repainting: Off
Smoothing: SMA
Period: 10
8 Hour:
Number of Trades: 1046
Gross Return: 249.27 %
CAGR Return: 14.04 %
Max Drawdown: 7.9 %
Win percentage: 28.01 %
Profit Factor (Expectancy): 2.019
Average Loss: 0.33 %
Average Win: 1.69 %
Average Time for Loss: 1 day
Average Time for Win: 5.33 days
1 Day:
Number of Trades: 429
Gross Return: 458.4 %
CAGR Return: 15.76 %
Max Drawdown: 6.37 %
Profit Factor (Expectancy): 2.804
Average Loss: 0.8 %
Average Win: 7.2 %
Average Time for Loss: 3 days
Average Time for Win: 16 days
5 Day:
Number of Trades: 69
Gross Return: 1614.9 %
CAGR Return: 26.7 %
Max Drawdown: 5.7 %
Profit Factor (Expectancy): 10.451
Average Loss: 3.64 %
Average Win: 81.17 %
Average Time for Loss: 15 days
Average Time for Win: 85 days
Analysis:
The strategy is typical amongst trend following strategies with a less regular win rate, but where profits are more significant than losses. Most of the losses are in sideways, low volatility markets. This strategy performs better on higher timeframes, where it shows a positive expectancy of the strategy.
The average win was positively impacted by Bitcoin’s earlier smaller market cap, as the percentage wins earlier were higher.
Overall the strategy shows potential for further development and may be suitable for walk-forward testing and out of sample analysis to be considered for a demo trading account.
Note in an actual trading setup, you may wish to use this with volatility filters, combined with support resistance zones for a better setup.
As always, this post/indicator/strategy is not financial advice, and please do your due diligence before trading this live.
Original indicator links:
On chart version -
Oscillator version -
Update - 27/06/2022
Unfortunately, It appears that the original script had been taken down due to auto-moderation because of concerns with no slippage / commission. I have since adjusted the backtest, and re-uploaded to include the following to address these concerns, and show that I am genuinely trying to give back to the community and not mislead anyone:
1) Include commission of 0.1% - to match Binance's maker fees prior to moving to a fee-less model.
2) Include slippage of 10 ticks (This is a realistic slippage figure from searching online for most crypto exchanges)
3) Adjust account balance to 10,000 - since most of us are not millionaires.
The rest of the backtesting parameters are comparable to previous results:
Backtesting parameters:
Initial capital: 10000 dollars
Position size: 10% of equity
Long stop: 2% below entry
Short stop: 2% above entry
Repainting: Off
Smoothing: SMA
Period: 10
Slippage: 10 ticks
Commission: 0.1%
This script still remains to shows viability / profitablity on higher term timeframes (with slightly higher drawdown), and I have included the backtest report below to document my findings:
8 Hour:
Number of Trades: 1082
Gross Return: 233.02%
CAGR Return: 14.04 %
Max Drawdown: 7.9 %
Win percentage: 25.6%
Profit Factor (Expectancy): 1.627
Average Loss: 0.46 %
Average Win: 2.18 %
Average Time for Loss: 1.33 day
Average Time for Win: 7.33 days
Once again, please do your own research and due dillegence before trading this live. This post is for education and information purposes only, and should not be taken as financial advice.
在脚本中搜索"the strat"
Gap Reversion StrategyToday I am releasing to the community an original short-term, high-probability gap trading strategy, backed by a 20 year backtest. This strategy capitalizes on the mean reverting behavior of equity ETFs, which is largely driven by fear in the market. The strategy buys into that fear at a level that has historically mean reverted within ~5 days. Larry Connors has published useful research and variations of strategies based on this behavior that I would recommend any quantitative trader read.
What it does:
This strategy, for 1 day charts on equity ETFs, looks for an overnight gap down when the RSI is also in/near an oversold position. Then, it places a limit order further below the opening of the gapped-down day. It then exits the position based on a higher RSI level. The limit buy order is cancelled if the price doesn't reach your limit price that day. So, the larger you make the gap and limit %, the less signals you will have.
Features:
Inputs to allow the adjustment of the limit order %, the gap %, and the RSI entry/exit levels.
An option to have the limit order be based on a % of ATR instead of a % of asset price.
An optional filter that can turn-off trades when the VIX is unusually high.
A built in stop.
Built in alerts.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
EMA bands + leledc + bollinger bands trend following strategy v2The basics:
In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively.
The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band).
This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below.
As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength.
Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies.
The goods:
Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits.
"Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed
"Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing.
"Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings.
"Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones.
If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong.
Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades.
The deadly:
The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest.
There are two ways I've found best to use counter-trend trades
1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk.
2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side).
This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss.
The niche:
I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time.
Disclaimer:
This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below!
Estrategia Larry Connors [JoseMetal]============
ENGLISH
============
- Description:
This strategy is based on the original Larry Connors strategy, using 2 SMAs and RSI.
The strategy has been optimized for better total profit and works better on 4H (tested on BTCUSDT).
LONG:
Price must be ABOVE the slow SMA.
When a candle closes in RSI oversold area, the next candle closes out of the oversold area and the closing price is BELOW the fast SMA = open LONG.
LONG is closed when a candle closes ABOVE the fast SMA.
SHORT:
Price must be BELOW the slow SMA.
When a candle closes in RSI overbought area, the next candle closes out of the overbought area and the closing price is ABOVE the fast SMA = open SHORT.
SHORT is closed when a candle closes BELOW the fast SMA.
*Larry Connor's strategy does NOT use a fixed Stop Loss or Take Profit, as he said, that reduces performance significantly.
- Visual:
Both SMAs (fast and slow) are shown in the chart.
By default, the fast SMA is aqua color, the slow changes between green and red depending on the "trend" (price over slow SMA = bullish, below = bearish).
RSI can't be shown because TradingView doesn't allow to show both overlay and panel indicators, so candles get a RED color when RSI is in OVERBOUGHT area and GREEN when they're on OVERSOLD area to help with that.
Background is colored when conditions are met and a position is going to be open, green for LONGs red for SHORTs.
- Usage and recommendations:
As this is a coded strategy, you don't even have to check for indicators, just open and close trades as the strategy shows.
The original strategy uses a 5 period SMA instead of the 10, and 10/90 for oversold/overbought levels, this has been optimized after the testings and results but feel free to change settings and test by yourself.
Also, the original strategy was developed for daily, but seems to work better en 4H.
- Customization:
As usual I like to make as many aspects of my indicators/strategies customizable, indicators, colors etc., feel free to ask if you feel that something that should be configurable is missing or if you have any ideas to optimize the strategy.
============
ESPAÑOL
============
- Descripción:
Esta estrategia está basada en la estrategia original de Larry Connors, utilizando 2 SMAs y RSI.
La estrategia ha sido optimizada para un mejor beneficio total y funciona mejor en 4H (probado en BTCUSDT).
LONG:
El precio debe estar por encima de la SMA lenta.
Cuando una vela cierra en la zona de sobreventa del RSI, la siguiente vela cierra fuera de la zona de sobreventa y el precio de cierre está POR DEBAJO de la SMA rápida = abre LONG.
Se cierra cuando una vela cierra POR ENCIMA de la SMA rápida.
SHORT:
El precio debe estar POR DEBAJO de la SMA lenta.
Cuando una vela cierra en la zona de sobrecompra del RSI, la siguiente vela cierra fuera de la zona de sobrecompra y el precio de cierre está POR ENCIMA de la SMA rápida = abre SHORT.
Se cierra cuando una vela cierra POR DEBAJO de la SMA rápida.
*La estrategia de Larry Connor NO utiliza un Stop Loss o Take Profit fijo, como él dijo, eso reduce el rendimiento significativamente.
- Visual:
Ambas SMAs (rápida y lenta) se muestran en el gráfico.
Por defecto, la SMA rápida es de color aqua, la lenta cambia entre verde y rojo dependiendo de la "tendencia" (precio por encima de la SMA lenta = alcista, por debajo = bajista).
El RSI no puede mostrarse porque TradingView no permite mostrar tanto los indicadores superpuestos como los del panel, así que las velas obtienen un color ROJO cuando el RSI está en el área de SOBRECOMPRA y VERDE cuando están en el área de VENTA para ayudar a ello.
El fondo se colorea cuando se cumplen las condiciones y se va a abrir una posición, verde para LONGs rojo para SHORTs.
- Uso y recomendaciones:
Como se trata de una estrategia ya programada, ni siquiera hay que comprobar los indicadores, sólo hay que abrir y cerrar las operaciones tal y como muestra la estrategia en el gráfico.
La estrategia original utiliza una SMA de 5 periodos en lugar de 10, y 10/90 para los niveles de sobreventa/sobrecompra, esto ha sido optimizado después de las pruebas y los resultados, pero sé libre de cambiar la configuración y probarla por sí mismo.
Además, la estrategia original fue desarrollada para diario, pero parece funcionar mejor en 4H.
- Personalización:
Como siempre me gusta hacer personalizables todos los aspectos de mis indicadores/estrategias, indicadores, colores, etc., preguntar si notas que falta algo que debería ser configurable o si tienes alguna idea para optimizar la estrategia.
Backtest EngineThis is a simple backtest engine for your trading strategies. The idea behind this script is to make testing new strategies as easy as possible. Parameters such as take profit/stop loss and time period are built into the script and are customisable by the user via the settings interface. The only coding is to set the entry and exit conditions. Users need not touch any code beyond line 30.
For this post, I have used a 50/200 SMA crossover to demonstrate the ease of use for this script.
The features of this script include:
Backtest period start
Number of days until backtest period end
Take profit and stop loss % (via settings)
Programmable long and short entry/exit
Anti duplicate system (for entry conditions that are continuously satisfied, the engine will only make 1 trade until the is exit condition is satisfied).
DISCLAIMER: The strategy in this post is only a placeholder. The TP/SL levels are set to showcase the functionality of the engine and are in no means optimal settings.
Hope this helps! Feel free to ask any questions about the engine and happy coding!
Chandelier Exit - StrategyI created a strategy version for the Chandelier Exit indicator, originally owned by @everget . With the strategy I prepared, you can try both short-long and stop loss - trailing stop and take profit rates. I have also added a date filter feature so that you can test the strategy in the date range you want.
Orjinali @everget 'e ait olan Chandelier Exit indicator için strateji versiyonu oluşturdum. Hazırladığım strateji ile hem short-long deneyebilir hem de zarar durdur - takip eden stop ve kar al oranları denemeleri yapabilirsiniz. İstediğiniz tarih aralığında strateji testi yapabilmeniz için tarih filtre özelliği de ekledim.
RSI StrategyThis RSI strategy will allow you to go long when RSI is overbought and go short when RSI is oversold. You can also change the checked boxes to reverse this. Uncheck "Overbought Go Long & Oversold Go Short" and check "Overbought Go Short & Oversold Go Long" to use this reversed option.
You can also choose to use an ema filter as an additional qualifier for entry. Uncheck "No EMA Filter" and check "Use EMA Filter" if you want to use it.
Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. To specify a time from use the format 0930-1100 or whatever your trading hours will be. Check off "Enable Close Trade At End Of Time Frame" to close the trade at the end of your trading hours.
You can also specify a % based take profit and stop loss. Also keep in mind that the way this code is designed if you use the stop loss and/or take profit and it reaches either target and closes, then it will immediately re-enter if the condition for long or short entry is true.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
CCI StrategyThis CCI strategy will allow you to enter a long or short off a CCI zero line cross or control entries and exits from custom upper and lower band lengths. You can set a custom upper band which it will buy when it crosses up and then a custom upper band exit which it will sell when it crosses down. For a short you can set a custom lower band which it will short when it crosses down and the custom lower band exit which it will exit the short when it crosses up. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Supertrend StrategyThis Supertrend strategy will allow you to enter a long or short from a supertrend trend change. Both ATR period and ATR multiplier are adjustable. If you check off "Change ATR Calculation Method" it will base the calculation off the sma and give you slightly different results, which may work better depending on the asset. Be sure to enter slippage and commission into the properties to give you realistic results.
I've also built in backtesting date ranges and the ability to trade only within certain times of day and have it close all trades at the end of that time frame. This is especially useful for day trading stocks. If you check off "Enter First Trade ASAP" then when using the time frame option it will enter the current trade. If however you uncheck that box and instead check off "Wait To Enter First Trade" it will wait for the trend to change and then enter.
You can also specify a % based take profit and stop loss. In most cases the stop loss is not needed because of the atr based stop that supertrend provides so you could check only take profit and see if it works best to take profit or to let supertrend trend change get you out. Also keep in mind that if you have "Enter First Trade ASAP" checked off and use the stop loss and/or take profit then it will re-enter the current trend again.
Finally there's custom alert fields so you can send custom alert messages for strategy entry and exit for use with automated trading services. Simply enter your messages in the fields within the strategy properties and then put {{strategy.order.alert_message}} in your alert message body and it will dynamically pull in the appropriate message.
Multi MA Trend Following Strategy TemplateTrend following is one of the better known technical trading strategies. But, which trend should you follow? Today I am sharing with the community a trend following template script that includes a selection of over 20 different trends / regressions. Some of these are in the Pine library, and some have been custom coded and contributed over time by the beloved Pine Coder community.
How it works:
This template will plot any of the 20+ trends that you can select in the settings. The strategy component will buy if the trend line is moving up, and will sell if it moves down. If the line is green that indicates that the trend is higher than the prior bar. If the line is red that indicates that the trend is lower than the prior bar. This script is different from many moving average scripts in that it follows the trend itself and doesn't look for a cross of multiple trends.
How to use it:
When wanting to trend follow an instrument, you can use this template to help identify what approach you might want to take and/or which indicator you might want to use. You can also modify the strategy as you see fit and make use of the 20+ incorporated indicators. Incorporate your trade and risk management strategy, or use it as an indicator.
Disclaimer: Open source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. Even though this example script might beat buy and hold over the back-test time-frame, I wouldn't advise using it as a stand-alone strategy without significant additions/modifications to the strategy and risk management functions.
Combo Backtest 123 Reversal & TEMA1This 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 study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
WARNING:
- For purpose educate only
- This script to change bars colors.
TradingGroundhog - Strategy & Fractal V1#-- Public Strategy - No Repaint - Fractals -- Short term
Here I come with another script, more simple than Wavetrend V1. You will love it.
#-- Synopsis --
Another simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but as this script do not use Wavetrends. You should stop by your self to use the script during long lasting downtrends.
I developed the strategy using BTC /EUR 3 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for short term (to a month of uptrend) and automated trading.
#-- Graph reading --
And now, how to read it ?
Fractals:
Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy.
White Flags appear when the opening price goes over a Top fractal , it means Sell.
#-- Parameters --
*** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. ***
Can be touch :
'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Activate is often better)
Can be touch but not necessary :
'VolumeMA' : The Volume corrector used by the fractals
'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals.
Not to touch :
'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy.
#-- Time frame --
Should be used with the following time frames depending on the necessity:
1 MIN
3 MIN (Preferred with the parameters set)
5 MIN
#-- Last words --
The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry().
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
# Here are the results from the 20rst of September 2021 with 100% of equity on the BTC /EUR 3 Min and with a capital of 10 000 EUR. So almost, one month.
# As I saw, it goes from +30% to more than +160% (the great SHIB) depending on the selected crypto. It may be negative if you spot a downtrend.
TradingGroundhog - Strategy & Wavetrend V2#-- Public Strategy - No Repaint - Fractals - Wavetrend --
Here I come with another script, a nice and simple strategy based on fractals and Wavetrends.
#-- Synopsis --
A simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but in order to avoid bad and evil downtrends, we use Wavetrends based on a Daily time frame. From it, Tops and Bottoms are extracted. If the opening price goes above Wavetrend Tops, no trades will be conducted during the day. If the price goes below Wavetrend bottoms, no trades will be executed from 1 to N days, until a new Wavetrend bottom is generated.
I developed the strategy using BTC /EUR 15 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for long term and automated trading, I implemented the Wavetrend indicator to do so, or for short term if you have spot a long coming uptrend. Test it, look at its profit and long or short period on your crypto of choice.
#-- Graph reading --
And now, how to read it ?
Wavetrends:
Red Backgrounds are associated to No Trade periods. These periods occur when the price goes below a Wavetrend bottom or above a Wavetrend Top. They are here to limit the loss.
Blue Gradient lines represent the past Tops. For each bar, only the increasing values of the Wavetrend tops are acquired. Going from light to dark blue based on the age of the Tops. Thus, if on line goes from dark to light, this means the price is approaching a previous Wavetrend top. In the opposite, if it darken, thus the price say 'buy buy' and go dropping.
Yellow Gradient lines represent the past Bottoms. They are based on the same principe that the blue lines.
Fractals:
Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy.
White Flags appear when the opening price goes over a Top fractal , it means Sell.
#-- Parameters --
*** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. ***
Can be touch :
'Combined Smoothness' : The number of open individuals used by the Wavetrend. (6 or 9, often 9 is better but with less volatile crypto it will be 6)
'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Disable is often better)
Can be touch but not necessary :
'VolumeMA' : The Volume corrector used by the fractals
'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals.
Not to touch :
'Limit_candle to look on' : Number of candles to use to compute the Wavetrend Tops and Bottoms.
'Length top bottom drawn' : Size of the lines
'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy.
#-- Time frame --
Should be used with the following time frames depending on the necessity:
1 MIN
3 MIN (Interesting for short term profit, may need some parameter ajustements)
5 MIN
15 MIN (Preferred for long term profit, the script was developed on it)
#-- Last words --
The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry().
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
# Here are the results from the 1rst of July 2021 with 100% of equity on the BTC /EUR 15 Min and with a capital of 1 000 EUR.
# As I saw, it goes from +20% to more than +100% depending on the selected crypto. Sometimes it's negative but it's quite rare on crypto using the EUR.
Up/Down Short StrategyThis is a consecutive bar up/down strategy for going short only where you can specify how many bars down to enter and how many bars up to exit. It also has code to check and make sure the condition is still true when launching the official alert, which helps back testing and live results line up, however be sure to enter commission and slippage into the properties to accurately reflect profits. I added back testing date ranges to this so you can easily pull up and see back tested results for a certain date range. I also added a buy and sell messages, close messages and take profit/stop loss message fields in the properties so you can launch alerts that will work with automated trading services. Simply enter your messages into those fields in the properties and then when you create an alert enter {{strategy.order.alert_message}} into the alert body and it will dynamically pull in your buy and sell messages when it fires alerts. I also added time restriction so you can enter trades only during the time frame specified. You can change it to any time frame, such at 0930-1600. Set the time restriction field to empty by default since otherwise the strategy won't take all trades like normal. So to enable time restriction enter a time frame in the format 0000-0000. I also added the ability to check off a box that will close the open trade at the end of the time restriction. So if you set the time frame to 0930-1600 and check off to enable close trade at end of time frame then it will look to exit the trade at the close of the next bar.
Combo Backtest 123 Reversal & T3 Averages 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 moving average described in the January, 1998 issue
of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson.
This indicator plots T3 moving average presented in Figure 4 in the article.
T3 indicator is a moving average which is calculated according to formula:
T3(n) = GD(GD(GD(n))),
where GD - generalized DEMA (Double EMA) and calculating according to this:
GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v,
where "v" is volume factor, which determines how hot the moving average’s response
to linear trends will be. The author advises to use v=0.7.
When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive
version of DEMA. By using a value for v less than1, trader cure the multiple DEMA
overshoot problem but at the cost of accepting some additional phase delay.
In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman
filters are ones that use the error — in this case, (time series - EMA(n)) —
to correct themselves. In the realm of technical analysis, these are called adaptive
moving averages; they track the time series more aggres-sively when it is making large
moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in
mathematics and computer science. He has privately traded options and equities for 15 years.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Stochastic Crossover 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 back testing strategy generates a long trade at the Open of the following
bar when the %K line crosses below the %D line and both are above the Overbought level.
It generates a short trade at the Open of the following bar when the %K line
crosses above the %D line and both values are below the Oversold level.
WARNING:
- For purpose educate only
- This script to change bars colors.
MACD + DMI Scalping with Volatility Stop by (Coinrule)Trend-following strategies are cool because they allow you to catch potential high returns.
The main limit of such strategies are:
False signals > the asset is not experiencing a strong trend. The strategy gets stuck with a sideways move or, worst, with the beginning of a downtrend.
The sell signal may come later than the actual top, leading in some cases to turn a trade in profit into a loss.
This strategy tries to address these limitations to develop a trading system that optimises the entry and closes trade once the profit achieves a pre-set level.
ENTRY
The trading system uses the MACD and the DMI to confirm when is the best time for buying. Combining these two indicators prevents trading during downtrends and reduces the likelihood of getting stuck in a market with low volatility.
The system confirms the entry when:
The MACD histogram turns bullish.
When the positive DMI is greater than the negative DMI, there are more chances that the asset is trading in a sustained uptrend.
EXIT
The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
The price increases by 3%
The price crosses below the volatility stop.
The best time frame for this strategy based on our backtest is the 3-hr . The 4-hr can work well. In general, this approach suits medium to long term strategies
The strategy assumes each order to trade 30% of the available capital to make the results more realistic. 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.
Bollinger Bands And Aroon Scalping (by Coinrule)Many technical indicators can be profitable in certain market conditions while failing in others. No indicator is perfect alone.
All the best trading strategies involve multiple indicators and leverage the benefit of each of them. The following is an optimised strategy based on Bollinger Bands and the Aroon indicator.
The Bollinger Bands are among the most famous and widely used indicators. They can suggest when an asset is oversold or overbought in the short term, thus provide the best time for buying and selling it.
A strategy buying dips can work well during times of uptrend. Downtrends will result in a drawdown for the P&L of the strategy. The suggested approach minimises the drawdowns, ensuring that the system trades only when it's more likely to close the trade in profit.
The Setup
ENTRY
The price crosses below the basis line of the Bollinger Band indicator
The Aroon Indicator is above 90
EXIT
The price crosses below the upper Bollinger Band
The Aroon Indicator drops below 70
The Aroon Indicator plays a key role in this strategy. It acts as a confirmation that the asset is currently in an uptrend. On the other hand, it acts as a stop if market conditions deteriorate. The strategy uses an Aroon Indicator set to 288 periods to provide a longer-term view on market conditions, not being heavily dependent on short-term volatility.
The best time frame for this strategy based on our backtest is the 4-hr . The 1-hr can work well with three times more trades, on average. As trades increase, the profitability decreases. Yet again, this is the confirmation that trading more does not mean gaining more.
To make the results more realistic, 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.
[VJ] Viper VWAP IntradayHello Traders, this is a simple intraday strategy involving the ever reliable VWAP and a chop index to add twist to the traditional style . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy: VWAP based strategy but uses an additional powerful indicator Chop index to help us stay out of false trades.
Indicators used :
VWAP identifies the true average price of a stock by factoring the volume of transactions at a specific price point and not based on the closing price. VWAP can add more value than your standard 10, 50, or 200 moving average indicators because VWAP reacts to price movements based on the volume during a given period.
The Choppiness Index is designed to determine whether the market is choppy or trading sideways, or not choppy and trading within a trend in either direction. Using a scale from 1 - 100, the market is considered to be choppy as values near 100 (over 61.80) and trending when values are lower than 38.20)
Buying/Selling typically happens at VWAP Breakouts which is then validated with extreme CI to ascertain the entries
Aggressive trade stop can be employed by using the % for long and shorts in the strategy.
Usage & Best setting :
Choose a good volatile stock and a time frame - 10m.
CI Index : 14
Trend Factor - anything below 38.2 is considered in trend, you can experiment from 50
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
QuickSilver Intraday using RSIThis is a simple intraday strategy using very basic intraday super indicators - RSI & VWAP for working on Stocks . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy:
Indicators used :
The Relative Strength Index (RSI) is one of the most popular and widely used momentum oscillators.The values of the RSI oscillator, typically measured over a 14-day period, fluctuate between zero and 100. The Relative Strength Index indicates oversold market conditions when below 30 and overbought market conditions when above 70
VWAP identifies the true average price of a stock by factoring the volume of transactions at a specific price point and not based on the closing price. VWAP can add more value than your standard 10, 50, or 200 moving average indicators because VWAP reacts to price movements based on the volume during a given period.
Buying happens at VWAP Breakouts which is then validated with RSI to check for overbought & oversold conditions.
Aggressive trade stop can be employed by using the % for long and shorts in the strategy.
Usage & Best setting :
Choose a good volatile stock and a time frame - 10m.
RSI : 9
Overbought & Oversold - can be varied as per user
There is stop loss and take profit that can be used to optimise your trade
Extending this to,
In general guidelines for RSI :
Short-term intraday traders (day trading) often use lower settings with periods in the range of 9-11.
Medium-term swing traders frequently use the default period setting of 14.
Longer-term position traders often set it at a higher period, in the range of 20-30.
The template also includes daily square off based on your time.
Combo Backtest 123 Reversal & RSIThis 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
The RSI is a very popular indicator that follows price activity.
It calculates an average of the positive net changes, and an average
of the negative net changes in the most recent bars, and it determines
the ratio between these averages. The result is expressed as a number
between 0 and 100. Commonly it is said that if the RSI has a low value,
for example 30 or under, the symbol is oversold. And if the RSI has a
high value, 70 for example, the symbol is overbought.
WARNING:
- For purpose educate only
- This script to change bars colors.
Monthly Returns in PineScript StrategiesI'm not 100% satisfied with the strategy performance output I receive from TradingView. Quite often I want to see something that is not available by default. I usually export raw trades/metrics from TradingView and then do additional analysis manually.
But with tables, you can build additional metrics and tools for your strategies quite easily.
This script will just show a table with monthly/yearly performance of your script. Quite a lot of traders/investors used to look at returns like that. Also, it might help you to identify periods of time when your strategy performed good/bad than expected and try to analyze that better.
The script is very simple and I believe you can easily apply it to your own strategies.
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 well as in historical backtesting.
This post and the script don’t provide any financial advice.
Combo Backtest 123 Reversal & Awesome Oscillator (AO) 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 is based on Bill Williams` recommendations from his book
"New Trading Dimensions". We recommend this book to you as most useful reading.
The wisdom, technical expertise, and skillful teaching style of Williams make
it a truly revolutionary-level source. A must-have new book for stock and
commodity traders.
The 1st 2 chapters are somewhat of ramble where the author describes the
"metaphysics" of trading. Still some good ideas are offered. The book references
chaos theory, and leaves it up to the reader to believe whether "supercomputers"
were used in formulating the various trading methods (the author wants to come across
as an applied mathemetician, but he sure looks like a stock trader). There isn't any
obvious connection with Chaos Theory - despite of the weak link between the title and
content, the trading methodologies do work. Most readers think the author's systems to
be a perfect filter and trigger for a short term trading system. He states a goal of
10%/month, but when these filters & axioms are correctly combined with a good momentum
system, much more is a probable result.
There's better written & more informative books out there for less money, but this author
does have the "Holy Grail" of stock trading. A set of filters, axioms, and methods which are
the "missing link" for any trading system which is based upon conventional indicators.
This indicator plots the oscillator as a histogram where periods fit for buying are marked
as blue, and periods fit for selling as red. If the current value of AC (Awesome Oscillator)
is over the previous, the period is deemed fit for buying and the indicator is marked blue.
If the AC values is not over the previous, the period is deemed fir for selling and the indicator
is marked red.
WARNING:
- For purpose educate only
- This script to change bars colors.
