Multi Technical Indicator Crossover Momentum Trend Following Strategy

Pine ScriptMomentum Trend following Breakout RSI EMA ATR

Author: ChaoZhang
Complexity: Starter · 58 lines
Parameters: 0
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy is a trend following trading system that combines the Relative Strength Index (RSI), Weighted Moving Average (WMA), and Exponential Moving Average (EMA). By utilizing multiple technical indicators, the strategy captures market momentum changes at trend reversal points to generate trading signals. The system uses WMA and EMA crossovers to confirm trend direction while incorporating RSI to filter market conditions for improved trading accuracy.

Strategy Principles

The core logic of the strategy is based on the following key elements:

RSI calculation uses a 14-period setting to measure market overbought/oversold conditions
45-period WMA and 89-period EMA crossovers confirm trend transitions
Entry conditions:
- Long signal: WMA crosses above EMA and RSI<50
- Short signal: WMA crosses below EMA and RSI>50
The system visualizes market conditions through RSI color changes, showing green when RSI>70 and red when RSI<30
Blue background is set in the RSI 30-70 range to help identify neutral zones

Strategy Advantages

The combination of multiple technical indicators enhances trading signal reliability
WMA is more sensitive to recent price changes while EMA maintains long-term trend tracking
RSI as a filter effectively prevents false signals in overly volatile markets
Visual interface design helps traders intuitively judge market conditions
Includes a complete alert system to notify traders of potential trading opportunities

Strategy Risks

May generate frequent false breakout signals in sideways markets
Moving averages' lag nature might cause slightly delayed entries
Fixed RSI thresholds may not be suitable for all market environments
Lack of volatility consideration may increase risk during high volatility periods
Absence of stop-loss and take-profit mechanisms may affect money management effectiveness

Strategy Optimization Directions

Introduce adaptive RSI thresholds that dynamically adjust based on market volatility
Add ATR indicator for position sizing and dynamic stop-loss settings
Optimize WMA and EMA periods, considering adjustments for different timeframes
Add volume indicators as confirmation signals
Implement more sophisticated position management systems, such as pyramid-style scaling

Summary

This is a trend following strategy based on multiple technical indicators, combining RSI, WMA, and EMA to capture market trend reversal points while maintaining trading stability. Although it has certain lag and false signal risks, through appropriate optimization and risk management measures, the strategy has good practical value and room for expansion.

Source Pine Script

/*backtest
start: 2024-12-17 00:00:00
end: 2025-01-16 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT","balance":49999}]
*/

//@version=5
strategy(title="RSI + WMA + EMA Strategy", shorttitle="RSI Strategy", overlay=true)

// RSI Settings
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")

// WMA and EMA Settings
wmaLengthInput = input.int(45, minval=1, title="WMA Length", group="WMA Settings")
wmaColorInput = input.color(color.blue, title="WMA Color", group="WMA Settings")
emaLengthInput = input.int(89, minval=1, title="EMA Length", group="EMA Settings")
emaColorInput = input.color(color.purple, title="EMA Color", group="EMA Settings")

// RSI Calculation
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))

// WMA and EMA Calculation
wma = ta.wma(rsi, wmaLengthInput)
ema = ta.ema(rsi, emaLengthInput)

// RSI Color Logic
rsiColor = rsi > 70 ? color.new(color.green, 100 - math.round(rsi)) : rsi < 30 ? color.new(color.red, math.round(rsi)) : color.new(color.blue, 50)

// Plot RSI, WMA, and EMA
plot(rsi, "RSI", color=rsiColor)
plot(wma, title="WMA", color=wmaColorInput, linewidth=2)
plot(ema, title="EMA", color=emaColorInput, linewidth=2)

// Highlight RSI Area between 30 and 70
bgcolor(rsi >= 30 and rsi <= 70 ? color.new(color.blue, 90) : na)

// Entry and Exit Conditions
longCondition = ta.crossover(wma, ema) and rsi < 50
shortCondition = ta.crossunder(wma, ema) and rsi > 50

if (longCondition)
    strategy.entry("Long", strategy.long)
    alert("Buy Signal: WMA crossed above EMA, RSI < 50", alert.freq_once_per_bar)

if (shortCondition)
    strategy.entry("Short", strategy.short)
    alert("Sell Signal: WMA crossed below EMA, RSI > 50", alert.freq_once_per_bar)

// Optional: Plot Buy/Sell Signals on Chart
plotshape(series=longCondition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(series=shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")

Published by ChaoZhang on the FMZ strategy square · last modified 2025-01-17. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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