Rate Of Change Trend Strategy (ROC)This is very simple trend following or momentum strategy. If the price change over the past number of bars is positive, we buy. If the price change over the past number of bars is negative, we sell. This is surprisingly robust, simple, and effective especially on trendy markets such as cryptos.
Works for many markets such as:
INDEX:BTCUSD
INDEX:ETHUSD
SP:SPX
NASDAQ:NDX
NASDAQ:TSLA
Trendtrading
Classic Long Term Trend Following SystemThis is a classic long term trend following system.
The breakout period is 50 days instead of 20 and the moving average crossover are 40 and 120.
The moving averages are also exponential instead of simple.
The stoploss is 4 ATRs away from the price.
Recommendations:
Donchian Channels settings > 50 days
Moving Averages > 40 and 120, 80 and 140
Important to note:
My first strategy, DC Breakout System | This is simplicity at its finest, is best used on the crypto market and this one for stocks, commodities, currencies, etc. Those markets tend to trend a lot longer than crypto do.
Trend Following with Bollinger BandsThis is a trend following system which uses the Bollinger Bands instead of the Donchian Channels.
Long position:
* Price closes above the middle line.
* The fast EMA (in this case the 40) crosses over or is above the slow one (in this case the 120)
Short position:
* Price closes below the middle line.
* The fast EMA crosses under or is below the slow one.
Stoploss:
* 4 ATRs away from the price.
8 Day Extended Runs Inspired by Linda Bradford Raschke.
Strategy suited to the US T-note (ZN1!) with a t-test of 4.06.
The 5 day SMA is vital to Linda’s trend identification system. She’s done extensive testing and research using this indicator and has built models based on it. Linda used the 5 day SMA to determine that large outlier price moves happen in the direction of the trend in each market about 9-10 times per year. The powerful part about that number is that when the trend does persist, it can go on a long run, making this a trade with a high expected value.
Note: the current exit criteria is sell 10 days after entry, users should experiment with different stop placements.
WEEKLY BTC TRADING SCRYPTWeekly BTC Trading Scrypt(WBTS)
This script is only suggested for cryptocurrencies and weekly buying strategy which is long term.Using it in another markets(e.g forex,stock,e.t.c) is not suggested. The thing makes it different than other strategies we try to understand bull and bear seasons and buying selected crypto currency as using formula if weekly closing value crossover eight weeks simple moving avarage buy,else if selected crypto currency's weekly closing value crossunder eight weeks simple avarage sell. Eight week moving avarage is also uses weekly closing prices but for being able to use this strategy ,trading pair must have more than eight candles in weekly chart otherwise the 8 weeks simple moving avarage value cannot be calculated and script does not work.
This script has a chart called WBTS and it has following features:
Strategy group consist of 3 inputs:
1)Source: Close by default. Our whole strategy uses close values. You can change it but not suggested.
2)Loss Ratio: Because of the cases like the circumstances that manipulates market or high volatility , sometimes graphic show wrong buying signals and this ratio saves user from big money looses(Note : This ratio will always work when selling condition occurs to make user take his profit or prevent him to loss more money because of a wrong positive comes from the indicator.)
3)Reward Ratio : When selling condition happens it will exit user with more profit(if price is already higher than buying point) otherwise it will dimunish loss a bit(if user is below of buying point) or prevents looses(if user is in buying point when selling condition happened.
MA group consist of 2 inputs:
COLOR:Specifies color of the moving avarage.It is equal to #FF3232by hex color code by default.
LINE WIDTH: Specifies linewidth of the moving avarage. It is 2 by default.
GRAPHIC group consist of 2 inputs:
COLOR: It specifies the color of the line which consist of weekly closing prices. It is equal to #6666FF hex color code by default.
LINE WIDTH: Specifies linewidth of the line which consist of weekly closing prices. It is 2 by default.
STRATEGY EXECUTION YEAR: It will show the orders,profits and looses done by script after the input year giving in it.It is 2020 by default.
The last feature is strategy equity,it is not in one of these groups. User should click on settings button on the WBTS indicator than chose Style section and there is a deactivated check box near in the plot section if user activate it, the equity line will show in indicator's graph.
Logic of This Strategy:The story of this strategy began when I studied BTC's price movement from 2020 to today with 8 weeks simple moving avarage (it takes weekly closes as source) and weekly clossing values. I understood that there was a perfect interest between bull and bear market and following conditions:
buy_condition=crossover(weekly_closing_values,8_week_simple_moving_avarage)
sell_condition=crossover(weekly_closing_values,8_week_simple_moving_avarage)
and I tried same thing on the same and bigger time frames("for example i studied how the strategy works from the beginning to today with bitcoin and what is our final equity") with bitcoin and other cryptocurrencies and this made me saw better the relation between giving conditions and general market psychology, however I also witnessed some wrong positives coming by script and used a risk reward ratio to save user and set risk reward ratio 1/3 after a research.
For both conditions(buy_condition and sell_condition),when they are realised,script will alert users and an order will be triggered.
Before finishing the description,from settings/properties/ user can set initial capital,base currency,order size and type,but it is 100000 for initial_amount and 1 contract for order size by default.
In backtesting I used the options like the following example :
Initial capital=1000
Base_curreny=USD
Order size=40 USD
Properties place must set different by every single user according to his or her capital and order size must not be higher than his total money because this script is not the best or a good script for derivatives. It is only written for long term-crypto spot trading and I strongly recommend to users that margin may cause bad results and please do not use it with any margin or any market different than crypto market.
Thank you very much for reading)
Traffic Lights Strategy4HS Crypto Market Strategy
This strategy uses 4 ema to get Long or Short Signals
Length are: 4, 9, 18, 100
We take long positions when the order of the emas is the following:
green > yellow > red (As the color of Traffic Lights) and they are above white ema (Used as a filter for long positions)
We take short positions when the order of the emas is the following:
green < yellow < red (As the color of inverse Traffic Lights) and they are below white ema (Used as a filter for short positions)
Enable Long and/or Short Positions in settings
Enable Profit and Stop in strategy settings with different percentage to backtest the strategy. Also if it is better to use a Traditional Stop Loss or a Trailing Stop Loss based on ATR
Change ema filter resolution in settings for better strategy performance
This Strategy was tested on Crypto Market with good results in assets as BTC, ETH, BNB, ADA, LTC, XLM, BCH, among others
Feel free to optimize this strategy, optimizing its parameters. Each asset has its own "personality".
Ichimoku Cloud Strategy IdeaThis strategy idea uses the famous Ichimoku Cloud (Forward-shifted SMA-9 and SMA-26) and Chiku (52-candle lagged close price) with its default parameters. This strategy is slow and issues few signals. However, this is one of the most performant long-term trend trading strategies. It usually works well on 1D and 4H timeframes and even better on trending instruments. This is the implementation used in QuantCT app.
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When both close price and chiku are above the cloud, market is considered rising (bullish) and the plotted cloud becomes green.
When both close price and chiku are below the cloud, market is considered falling (bearish) and the plotted cloud becomes red.
Otherwise, market is considered ranging and the plotted cloud becomes orange.
Entry/Exit rules
Enter LONG right after both close price and chiku went above the cloud (i.e. when the end of the plotted cloud becomes green).
Enter SHORT right after both close price and chiku went below the cloud (i.e. when the end of the plotted cloud becomes red).
EXIT market when close price enters the cloud.
CAUTION
It's just a bare trading idea - but a profitable one. You can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on several instruments (Like BTC , ETH, etc.), and also performs better in Long/Short mode on other instruments (Like VET, BNT, etc.).
Momentum Trading By Mahfuz AzimA following indicator is Momentum Trading that uses fast QQE crosses with Moving Averages
Use for trend direction filtering. QQE or Qualitative Quantitative Estimation is based
Relative strength index (RSI), but uses a smoothing technique as an additional transformation. Three crosses can be selected (all selected by default)
EMAC - Exponential Moving Average Cross - OptimizedEMAC - Exponential Moving Average Cross - Optimized
This is the full Strategy version with the best currently known optimized inputs with the average best settings across the following 26 tickers:
QQQ
TQQQ
SPY
SPXL
AAPL
AMZN
TSLA
BYND
CRWD
DDOG
ESTC
FSLY
MDB
NVDA
PINS
PTON
ROKU
SHOP
SQ
TDOC
TWLO
APPS
CHWY
DKNG
ETSY
FVRR
For the short Study version of EMAC that has been optimized for TradersPost alerts only please see EMAC - Exponential Moving Average Cross - Study
For the original full Strategy version with many editable inputs please see EMAC - Exponential Moving Average Cross
EMAC - Exponential Moving Average CrossEMAC - Exponential Moving Average Cross
This strategy is based in part on original 10ema Basic Swing Trade Strategy by Matt Delong: www.tradingview.com
Link to original 10ema Basic Swing Trade Strategy:
This is the Original EMAC - Exponential Moving Average Cross strategy built as a class for reallifetrading dot com and so has all the default settings and has not been optimized. I would not recommend using this strategy with the default settings and is for educational purposes only. For the fully optimized version please come back around the same time tomorrow 6/16/21 for the EMAC - Exponential Moving Average Cross - Optimized
If you have any questions feel free to reach out to me with a comment and I will try to get back to you quickly with a reply.
Donchian Channel StrategyRide the trend with full potential. Filter out false signals using long period ema. Lower bands take care of the stop loss.
Use this strategy for banknifty futures for consistent quarterly returns.
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):
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 :)
Breakout Trend Trading Strategy - V1Strategy in nutshell:
This strategy is made to be used in daily time-frames. Works better on trending instruments where volume is available. Hence, this is more suitable for trending shares rather than currencies, commodities and indexes where volume data is either not present or not reliable.
Breakout signifies the continuation of trend. Hence, trade in the direction of breakouts. Breakouts are calculated based on high volume and price movement in a day. This will be combined with few other conditions to generate buy and sell signals along with stop and compound targets. Supertrend is used for trend bias. Our buy and sell targets do not directly depend on the bias. But, entry criteria in opposite trend is made much difficult than that of trend direction. Further explanation of method and input parameters are explained below.
Backtesting parameters :
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
ExitOnSignal : If unchecked exit is triggered solely on trailing stop
Trade Direction : Long, Short or All. Short condition is riskier than long conditions and often results in losses as per my observation. On most of the stocks trending up, strategy will not generate any short signals. This is achieved by comparing yearly high lows to previous two years to decide whether to allow short or long entries.
allowImmediateCompound : Applicable only if compounding/pyramiding is enabled in trade. If checked allows to place compounding orders immediately. If unchecked, it waits for stopline to cross order price before placing next compound.
Display Mode :
Targets : Whenever breakout happens, show marker for upTarget and downTarget
TargetChannel : Show up target and downtarget as a channel
Target With Stop : Along with targets, show also stop levels for breakouts
Up Channel : Channel created from UpTarget and respective stops
Down Channel : Channel created from DownTarget and respective stops
ShowTrailingStop : Shows trailing stop and compound lines when there is a trading position.
ShowTargetLevels : Shows Buy Sell target levels along with stop and compound lines. Trades are done as market orders. Hence, target levels are displayed after strategy makes the trade. Since only one order allowed per side without compounding, target, stop and compound levels are shown sometimes even without trade being made. These can be considered as entry levels if there is no existing position.
ShowPreviousLevels : Shows previous buy/sell target levels. When enabled, layout can look messy.
StopMultiplyer: To Set trailing stop loss.
BacktestYears: Number of years to include in backtest
So far my test cases are:
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 backtesting. 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 :)
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 ;)
GMS: Moving Average Crossover StrategyThis is a moving average crossover system built the way I would want it to be.
- The moving averages included are SMA, EMA, WMA, VWMA.
- You can select either for the first moving average or the second moving average.
- You can also select to see the Long trades, Short trades, or both at the same time.
- There is also a simple moving average trend filter. When this is selected, it only applies to the entries of a trade and not the exit. There are situations where the entry is above the trend filter and the exit is below.
The source code should be open so feel free to adapt it, make it more efficient, or take some part for your own project!
I hope it helps,
Andre
GMS: RSI & ROC StrategyThis is a basic strategy like the RSI one I posted. This one adds in the Rate of Change indicator as well.
You can separate the two for RSI only and ROC only. Everything else is the same as the RSI strategy.
- Simple moving average trend filter.
- Simple moving average trade exit.
- Both long and short or each on it's own.
The source code should be open if you want to see it or modify it for your own project. I hope it helps!
Andre
Global Market Signals
Trend Following or Mean RevertingThe strategy checks nature of the instruments. It Buys if the close is greater than yesterday's high, reverse the position if the close is lower than yesterday's low and repeat the process.
1. If it is trend following then the equity curve will be in uptrend
2. If it is mean reverting then the equity curve will be downtrend
Thanks to Rayner Teo.
Pivot Reversal Strategy - FIGS & DATES 2.0Simple Pivot Reversal Strategy with some adding settings.
Date Range: To test over specific market conditions.
Initial Capitol: $10K - This is a more realistic representation of funds used this strategy (for me anyway). The default of $100K can give different results (usually better) than when using a smaller balance.
Order Size: 100% Equity - These trend following strategies typically used this way, going all in each direction.
Commission: .075% - It's always disheartening to think you've found a ridiculously good setting, and then realize you forgot to add the commission.
All of these settings can be changed, but it's easier for me (and more fool proof) to have them set as default.
QuantNomad - SuperTrend - XBTUSD - 1mInteresting performance for Super Trend strategy for XBTUSD 1m chart.
Params: ST Mult: 2, ST Period 14.
Performance: 144% profit, 1988 trades, only 41% prof, 2.04% dd , 2.51 Sharpe.
On its own, it might be not a very good strategy, but the big amount of trades allows you to add more filters and improve it.
And remember:
Past performance does not guarantee future results.
QuantNomad - SuperTrend - TSLA - 1mInteresting performance for Super Trend strategy for Tesla ( TSLA ) 1m chart.
Params: ST Mult: 3, ST Period 120.
Performance:61% profit, 637 trades, only 33% prof, 4.84% dd , 0.4 Sharpe.
On its own, it might be not a very good strategy, but the big amount of trades allows you to add more filters and improve it.
The strategy is not bad both with "when" params when strategy executed on open of next bar and with stop orders when strategy enters on exact Super Trend level.
You can comment/uncomment lines in the code and switch from one approach to another.
And remember:
Past performance does not guarantee future results.
[Backtest]QQE Cross v6.0 by JustUncleLDescription:
This is the Backtest version of the " QQE Cross v6.0 by JustUncleL" Tool, can be used to optimize settings.