multiple technical indicators Momentum Breakout Strategy

Pine ScriptBreakout Momentum Mean reversion RSI MACD EMA SMA Bollinger Bands Stochastic

Author: ChaoZhang
Complexity: Starter · 84 lines
Parameters: 3
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy considers multiple technical indicators comprehensively and takes long position when the market is judged to have strong bullish momentum. Specifically, this strategy takes into account MACD, RSI, ADX, Stochastic and Bollinger Band these 5 indicators. It generates buy signals when all these indicators meet bullish criteria simultaneously.

Strategy Logic

The core logic of this strategy is to buy when the market is determined to have strong bullish momentum. The specific judging rules are as follows:

The current MACD bars of 5-minute, 15-minute and 60-minute charts are rising.
RSI is greater than 60
ADX is greater than 12
Stochastic %K crosses over %D
Bollinger Band upper band rises

When all the 5 conditions above are met, the market is considered to have strong bullish momentum. At this time, a long position will be taken.

The exit rule is to close current position when 5-minute closing price breaks below 5-minute EMA.

Advantage Analysis

The advantages of this strategy include:

Combining multiple indicators prevents being misguided by a single one
Using indicators across timeframes judges sustainability of bullish momentum
Strict exit mechanism prevents enlarged losses
Appropriate trading frequency without over-trading

In general, this strategy has accurate judgement, proper risk control and is suitable to capture short-term bullish trends.

Risk Analysis

This strategy also has some risks:

Combining multiple indicators increases probability of wrong entry
Exit mechanism may be too strict, causing premature exit from right trades
High trading frequency increases burden of commission fees

In summary, the main risks of this strategy lies in wrong entry and premature exit. These need to be alleviated through parameter tuning and rule adjustment.

Optimization Directions

This strategy can be optimized in the following aspects:

Optimize MACD parameters to find combinations better fitting the market
Adjust RSI parameters to locate better overbought/oversold zones
Optimize Stochastic parameters for better crossovers
Tune Bollinger Band parameters for better reflection of market volatility
Optimize or replace exit rules to reduce premature exits

Through parameter and rule optimization, this strategy's profitability and risk control ability can be further improved.

Conclusion

This strategy judges bullish trend by combining multiple indicators with relatively strict exits. It has accurate judgement, able to capture short-term trends and proper risk control. Continuous optimization over parameters and trading rules can further enhance the strategy. In summary, this is a practical strategy with strong usability.

Parameters

Name	Default	What it controls
v_input_1	14	Stochastic Length
v_input_2	3	%K Smoothing
v_input_3	3	%D Smoothing

Source Pine Script

/*backtest
start: 2022-11-15 00:00:00
end: 2023-11-21 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © makarandpatil

// This strategy is for Bank Nifty instrument and for intraday purpose only
// It checks for various indicators and gives a buy signal when all conditions are met 
// Bank Nifty when in momentum gives 100-200 points in spot in 5-15 min which is how long the trade duration should be
// Issues - The custom script as per TradingView Pinescripting has an issue of repaint
// More information on repainting issue in this link - https://www.tradingview.com/pine-script-docs/en/v5/concepts/Repainting.html
// Use the script alert only to get notified, however check all the parameters individually before taking the trade
// Also, please perform a backtesting and deep backtesting of this strategy to see if the strategy gave correct buy signals in the past
// The script is made for testing purposes only and is in beta mode. Please use at own risk.

//@version=5
strategy("BankNifty_Bullish_Intraday", overlay=true, margin_long = 100, margin_short = 100)

// Variables
StochLength = input(14, title="Stochastic Length")
smoothK = input(3, title="%K Smoothing")
smoothD = input(3, title="%D Smoothing")
 
 
//INDICATOR CALCULATIONS
 
// 1. MACD
[macdLine, signalLine, histLine] = ta.macd(close[0],12,26,9)
 
macd5 = request.security(syminfo.tickerid, "5", macdLine)
macd15 = request.security(syminfo.tickerid,"15",macdLine)
macd60 = request.security(syminfo.tickerid,"60",macdLine)
 
// 2. RSI Calculation
xRSI = ta.rsi(close, 14)
 
// 3. ADX calculation
[diplus, diminus, adx] = ta.dmi(14,14)
// plot(adx,color = color.black)
 
// 4. Stochastic Calculation
k = ta.sma(ta.stoch(close, high, low, StochLength), smoothK)
d = ta.sma(k, smoothD)
 
// 5. Bollinger Band calculation
[middle, upper, lower] = ta.bb(close, 20, 2)
 
 
//CONDITIONS
 
// 1. Conditions for MACD
macd5Uptick = macd5[0] > macd5[1]
macd15Uptick = macd15[0] > macd15[1]
macd60Uptick = macd60[0] >= macd60[1]
 
// 2. Condition for xRSI
RSIStrong = xRSI > 60
 
// 3. Condition for ADX
ADXUngali = adx >= 12
 
// 4. Condition for Stochastic
StochPCO = k > d
 
// 5. Condition for Bollinger Band
BBCU = upper > upper [1]
 
//Evaluate the long condition
// longCondition = macd5Uptick and macd15Uptick and RSIStrong and ADXUngali and StochPCO and BBCU
longCondition = macd5Uptick and macd15Uptick and macd60Uptick and RSIStrong and ADXUngali and StochPCO and BBCU
// longCondition = macd5Uptick and macd15Uptick and RSIStrong and ADXUngali and StochPCO and BBCU

if (longCondition)
    strategy.entry("Buy", strategy.long,alert_message = "BankNifty_Buy_Momentum")

shortCondition = close < ta.ema(close,5)
if (shortCondition)
    strategy.entry("BuySquareoff", strategy.short, alert_message = "BankNifty_Closed_Below_5EMA")

Published by ChaoZhang on the FMZ strategy square · last modified 2023-11-22. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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