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Dynamic RSI Quantitative Trading Strategy with Multiple Moving Average Crossover

Author: ChaoZhang, Date: 2025-01-17 16:14:38
Tags: RSIMASMAEMAWMASMMARMA

Overview

This is a quantitative trading strategy that combines the Relative Strength Index (RSI) with multiple moving averages. The strategy primarily identifies market trends by monitoring crossover signals between different types of moving averages (including SMA, EMA, WMA, and SMMA) on the RSI indicator, while using RSI’s overbought and oversold zones as supplementary decision criteria.

Strategy Principles

The strategy includes several key calculation steps: 1. Calculate 14-period RSI with overbought level at 70 and oversold level at 30 2. Calculate three different moving averages on the RSI curve: - MA1: 20-period, choice of SMA/EMA/WMA/SMMA - MA2: 50-period, choice of SMA/EMA/WMA/SMMA - MA3: 100-period, choice of SMA/EMA/WMA/SMMA 3. Trading signal generation rules: - Buy signal: When MA2 crosses above MA3 - Sell signal: When MA2 crosses below MA3 4. Simultaneously detect RSI divergences for additional reference

Strategy Advantages

Multiple technical indicator cross-validation improves signal reliability
Flexible moving average types and parameters
RSI divergence detection helps identify market turning points early
Percentage-based position management for effective risk control
Excellent visualization for analysis and backtesting

Strategy Risks

Moving average crossovers may have lag effects
False signals may occur in ranging markets
RSI distortion under certain market conditions
Improper parameter selection may lead to excessive or insufficient trading signals Risk mitigation:

Recommend cross-validation with market trends and volume
Optimize trading frequency through moving average parameter adjustment
Set stop-loss and take-profit levels for risk control

Strategy Optimization Directions

Signal filtering optimization:

Add trend confirmation indicators
Incorporate volume analysis

Parameter dynamic optimization:

Automatically adjust RSI and MA parameters based on market volatility
Introduce adaptive period calculation methods

Risk control optimization:

Develop dynamic stop-loss and take-profit mechanisms
Design dynamic position management system

Summary

The strategy builds an adaptive trading system by combining RSI and multiple moving averages. Its core advantages lie in the cross-validation of multiple technical indicators and flexible parameter configuration, while attention must be paid to moving average lag and market condition impacts on strategy performance. Through continuous optimization and risk control, this strategy shows promise for stable performance in actual trading.

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

//@version=6
strategy(title="Relative Strength Index with MA Strategy", shorttitle="RSI-MA Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=200)

// RSI Inputs
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", tooltip="Calculating divergences is needed in order for divergence alerts to fire.")

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

// RSI Plot
plot(rsi, "RSI", color=#7E57C2)
hline(70, "RSI Upper Band", color=#787B86)
hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
hline(30, "RSI Lower Band", color=#787B86)
fill(hline(70), hline(30), color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")

// RSI-based MA Inputs
grpRSIMovingAverages = "RSI Moving Averages"
ma1Length = input.int(20, title="MA1 Length", group=grpRSIMovingAverages)
ma2Length = input.int(50, title="MA2 Length", group=grpRSIMovingAverages)
ma3Length = input.int(100, title="MA3 Length", group=grpRSIMovingAverages)
ma1Type = input.string("SMA", title="MA1 Type", options=["SMA", "EMA", "WMA", "SMMA"], group=grpRSIMovingAverages)
ma2Type = input.string("EMA", title="MA2 Type", options=["SMA", "EMA", "WMA", "SMMA"], group=grpRSIMovingAverages)
ma3Type = input.string("WMA", title="MA3 Type", options=["SMA", "EMA", "WMA", "SMMA"], group=grpRSIMovingAverages)

// MA Calculation Function
calcMA(source, length, type) =>
    switch type
        "SMA" => ta.sma(source, length)
        "EMA" => ta.ema(source, length)
        "WMA" => ta.wma(source, length)
        "SMMA" => ta.rma(source, length)

// MA Calculations
ma1 = calcMA(rsi, ma1Length, ma1Type)
ma2 = calcMA(rsi, ma2Length, ma2Type)
ma3 = calcMA(rsi, ma3Length, ma3Type)

// MA Plots
plot(ma1, title="RSI MA1", color=color.blue)
plot(ma2, title="RSI MA2", color=color.green)
plot(ma3, title="RSI MA3", color=color.red)

// Divergence (Retained from original script)
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)

_inRange(bool cond) =>
    bars = ta.barssince(cond)
    rangeLower <= bars and bars <= rangeUpper

plFound = false
phFound = false

bullCond = false
bearCond = false

rsiLBR = rsi[lookbackRight]

if calculateDivergence
    // Regular Bullish
    plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))    
    rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound[1])
    lowLBR = low[lookbackRight]
    priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
    bullCond := priceLL and rsiHL and plFound

    // Regular Bearish
    phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
    rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound[1])
    highLBR = high[lookbackRight]
    priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
    bearCond := priceHH and rsiLH and phFound

// plot(
//      plFound ? rsiLBR : na,
//      offset=-lookbackRight,
//      title="Regular Bullish",
//      linewidth=2,
//      color=(bullCond ? bullColor : noneColor),
//      display = display.pane
//      )

plotshape(
     bullCond ? rsiLBR : na,
     offset=-lookbackRight,
     title="Regular Bullish Label",
     text=" Bull ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor
     )

// plot(
//      phFound ? rsiLBR : na,
//      offset=-lookbackRight,
//      title="Regular Bearish",
//      linewidth=2,
//      color=(bearCond ? bearColor : noneColor),
//      display = display.pane
//      )

plotshape(
     bearCond ? rsiLBR : na,
     offset=-lookbackRight,
     title="Regular Bearish Label",
     text=" Bear ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor
     )

alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')

// ----- MUA/BÁN -----

// Điều kiện Mua: MA2 cắt lên MA3 và MA3 < 55
buyCondition = ta.crossover(ma2, ma3) 

// Điều kiện Bán: MA2 cắt xuống MA3 và MA3 > 40
sellCondition = ta.crossunder(ma2, ma3)

// Thực hiện lệnh Mua/Bán
if (buyCondition)
    strategy.entry("Buy", strategy.long, comment="Buy Signal")

if (sellCondition)
    strategy.close("Buy", comment="Sell Signal")



// ----- KẾT THÚC -----

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