双均线趋势跟踪与ATR风控自适应交易策略

SMA ATR TP SL HTF
创建日期: 2024-11-29 14:56:43 最后修改: 2024-11-29 14:56:43
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双均线趋势跟踪与ATR风控自适应交易策略

概述

本策略是一个结合了经典双均线趋势跟踪和ATR动态风控的自适应交易系统。策略提供了两种交易模式:基础模式采用简单的双均线交叉进行趋势跟踪,高级模式增加了更高时间框架的趋势过滤和基于ATR的动态止损机制。策略通过简单的下拉菜单即可在两种模式间切换,既照顾到初学者的易用性,又满足资深交易者对风险控制的需求。

策略原理

策略1(基础模式)采用21日和49日双均线系统,当快速均线向上穿越慢速均线时产生做多信号。获利目标可以选择百分比或点数方式,同时提供可选的移动止损功能来锁定利润。策略2(高级模式)在双均线系统基础上增加了日线级别的趋势过滤,只有当价格处于更高时间框架均线之上时才允许入场。同时引入了基于14周期ATR的动态止损,止损距离随市场波动性自动调整,并提供部分获利了结功能保护既得利润。

策略优势

  1. 策略具有极强的适应性,可根据交易者经验水平和市场环境灵活切换
  2. 高级模式中的多时间框架分析提高了信号质量
  3. ATR动态止损能够适应不同市场波动条件
  4. 部分获利机制平衡了利润保护和趋势延续
  5. 参数配置灵活,便于根据不同市场特征优化

策略风险

  1. 双均线系统在震荡市可能产生频繁假信号
  2. 趋势过滤可能造成信号滞后,错过一些交易机会
  3. ATR止损在波动率突变时可能不够及时
  4. 部分获利可能过早减仓,影响大趋势利润

策略优化方向

  1. 可以增加成交量和波动率指标过滤假信号
  2. 考虑引入动态参数自适应机制,根据市场状态自动调整均线周期
  3. 对ATR计算周期进行优化,平衡灵敏度和稳定性
  4. 增加市场状态识别模块,自动选择最优策略模式
  5. 引入更多止损方案供选择,如追踪止损、时间止损等

总结

这是一个设计合理、功能完善的交易策略系统。通过双均线趋势跟踪和ATR风控的结合,既保证了策略的可靠性,又提供了良好的风险管理。双模式设计满足不同层次交易者需求,丰富的参数设置提供了充分的优化空间。建议交易者在实盘中从保守参数开始,逐步调整优化以达到最佳效果。

策略源码 
/*backtest
start: 2019-12-23 08:00:00
end: 2024-11-27 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © shaashish1

//@version=5
strategy("Dual Strategy Selector V2 - Cryptogyani", overlay=true, pyramiding=0, 
         default_qty_type=strategy.percent_of_equity, default_qty_value=100, initial_capital=100000)

//#region STRATEGY SELECTION
strategyOptions = input.string(title="Select Strategy", defval="Strategy 1", options=["Strategy 1", "Strategy 2"], group="Strategy Selection")
//#endregion STRATEGY SELECTION

// ####################### STRATEGY 1: Original Logic ########################
//#region STRATEGY 1 INPUTS
s1_fastMALen = input.int(defval=21, title="Fast SMA Length (S1)", minval=1, group="Strategy 1 Settings", inline="S1 MA")
s1_slowMALen = input.int(defval=49, title="Slow SMA Length (S1)", minval=1, group="Strategy 1 Settings", inline="S1 MA")
s1_takeProfitMode = input.string(defval="Percentage", title="Take Profit Mode (S1)", options=["Percentage", "Pips"], group="Strategy 1 Settings")
s1_takeProfitPerc = input.float(defval=7.0, title="Take Profit % (S1)", minval=0.05, step=0.05, group="Strategy 1 Settings") / 100
s1_takeProfitPips = input.float(defval=50, title="Take Profit Pips (S1)", minval=1, step=1, group="Strategy 1 Settings")
s1_trailingTakeProfitEnabled = input.bool(defval=false, title="Enable Trailing (S1)", group="Strategy 1 Settings")
//#endregion STRATEGY 1 INPUTS

// ####################### STRATEGY 2: Enhanced with Recommendations ########################
//#region STRATEGY 2 INPUTS
s2_fastMALen = input.int(defval=20, title="Fast SMA Length (S2)", minval=1, group="Strategy 2 Settings", inline="S2 MA")
s2_slowMALen = input.int(defval=50, title="Slow SMA Length (S2)", minval=1, group="Strategy 2 Settings", inline="S2 MA")
s2_atrLength = input.int(defval=14, title="ATR Length (S2)", group="Strategy 2 Settings", inline="ATR")
s2_atrMultiplier = input.float(defval=1.5, title="ATR Multiplier for Stop-Loss (S2)", group="Strategy 2 Settings", inline="ATR")
s2_partialTakeProfitPerc = input.float(defval=50.0, title="Partial Take Profit % (S2)", minval=10, maxval=100, step=10, group="Strategy 2 Settings")
s2_timeframeTrend = input.timeframe(defval="1D", title="Higher Timeframe for Trend Filter (S2)", group="Strategy 2 Settings")
//#endregion STRATEGY 2 INPUTS

// ####################### GLOBAL VARIABLES ########################
var float takeProfitPrice = na
var float stopLossPrice = na
var float trailingStopPrice = na
var float fastMA = na
var float slowMA = na
var float higherTimeframeTrendMA = na
var bool validOpenLongPosition = false

// Precalculate higher timeframe values (global scope for Strategy 2)
higherTimeframeTrendMA := request.security(syminfo.tickerid, s2_timeframeTrend, ta.sma(close, s2_slowMALen))

// ####################### LOGIC ########################
if (strategyOptions == "Strategy 1")
    // Strategy 1 Logic (Original Logic Preserved)
    fastMA := ta.sma(close, s1_fastMALen)
    slowMA := ta.sma(close, s1_slowMALen)
    openLongPosition = ta.crossover(fastMA, slowMA)
    validOpenLongPosition := openLongPosition and strategy.opentrades.size(strategy.opentrades - 1) == 0
    
    // Take Profit Price
    takeProfitPrice := if (s1_takeProfitMode == "Percentage")
        close * (1 + s1_takeProfitPerc)
    else
        close + (s1_takeProfitPips * syminfo.mintick)

    // Trailing Stop Price (if enabled)
    if (strategy.position_size > 0 and s1_trailingTakeProfitEnabled)
        trailingStopPrice := high - (s1_takeProfitPips * syminfo.mintick)
    else
        trailingStopPrice := na

else if (strategyOptions == "Strategy 2")
    // Strategy 2 Logic with Recommendations
    fastMA := ta.sma(close, s2_fastMALen)
    slowMA := ta.sma(close, s2_slowMALen)
    openLongPosition = ta.crossover(fastMA, slowMA) and close > higherTimeframeTrendMA
    validOpenLongPosition := openLongPosition and strategy.opentrades.size(strategy.opentrades - 1) == 0

    // ATR-Based Stop-Loss
    atr = ta.atr(s2_atrLength)
    stopLossPrice := close - (atr * s2_atrMultiplier)

    // Partial Take Profit Logic
    takeProfitPrice := close * (1 + (s2_partialTakeProfitPerc / 100))
//#endregion STRATEGY LOGIC

// ####################### PLOTTING ########################
plot(series=fastMA, title="Fast SMA", color=color.yellow, linewidth=1)
plot(series=slowMA, title="Slow SMA", color=color.orange, linewidth=1)
plot(series=takeProfitPrice, title="Take Profit Price", color=color.teal, linewidth=1, style=plot.style_linebr)

// Trailing Stop and ATR Stop-Loss Plots (Global Scope)
plot(series=(strategyOptions == "Strategy 1" and s1_trailingTakeProfitEnabled) ? trailingStopPrice : na, title="Trailing Stop", color=color.red, linewidth=1, style=plot.style_linebr)
plot(series=(strategyOptions == "Strategy 2") ? stopLossPrice : na, title="ATR Stop-Loss", color=color.red, linewidth=1, style=plot.style_linebr)
//#endregion PLOTTING

// ####################### POSITION ORDERS ########################
//#region POSITION ORDERS
if (validOpenLongPosition)
    strategy.entry(id="Long Entry", direction=strategy.long)

if (strategyOptions == "Strategy 1")
    if (strategy.position_size > 0)
        if (s1_trailingTakeProfitEnabled)
            strategy.exit(id="Trailing Take Profit", from_entry="Long Entry", stop=trailingStopPrice)
        else
            strategy.exit(id="Take Profit", from_entry="Long Entry", limit=takeProfitPrice)

else if (strategyOptions == "Strategy 2")
    if (strategy.position_size > 0)
        strategy.exit(id="Partial Take Profit", from_entry="Long Entry", qty_percent=s2_partialTakeProfitPerc, limit=takeProfitPrice)
        strategy.exit(id="Stop Loss", from_entry="Long Entry", stop=stopLossPrice)
//#endregion POSITION ORDERS
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