
这是一个基于ATR动态调整的趋势跟踪策略,结合了移动平均线和ATR指标来确定入场和出场点。该策略的核心特点是通过ATR动态调整移动平均线的上下轨道,在价格突破上轨时入场做多,并设置基于ATR倍数的止损和止盈点。同时,策略还包含了创新的重入场机制,当价格回调至入场点时允许重新建仓。
策略运作基于以下几个关键要素: 1. 使用ATR调整后的移动平均线作为趋势判断依据,形成动态的上下轨道 2. 当价格突破上轨时产生做多信号,入场价格为当前收盘价 3. 止损位设置为入场价下方2倍ATR距离 4. 止盈位设置为入场价上方(5+自定义倍数)×ATR距离 5. 在止损或止盈触发后,如果价格回调至原入场价位,策略将自动重新入场 6. 使用最大30根K线的显示限制来优化图表展示
这是一个设计合理、逻辑清晰的趋势跟踪策略,通过ATR动态调整提供了良好的市场适应性。策略的重入场机制是一个创新点,能够在良好的市场条件下提供额外的盈利机会。虽然存在一些需要注意的风险点,但通过建议的优化方向可以进一步提升策略的稳定性和盈利能力。对于寻求系统化交易方法的投资者来说,这是一个值得考虑的基础策略框架。
/*backtest
start: 2024-02-19 00:00:00
end: 2025-02-16 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=6
strategy("KON SET By Sai", overlay=true, max_lines_count=40)
// INPUTS
length = input.int(10, "Trend Length")
target_multiplier = input.int(0, "Set Targets") // Target adjustment
max_bars = 30 // Number of bars to display the lines after signal
// VARIABLES
var bool inTrade = false
var float entryPrice = na
var float stopLoss = na
var float targetPrice = na
var int barCount = na // Counter to track how many bars have passed since signal
// ATR for stop-loss and target calculation
atr_value = ta.sma(ta.atr(200), 200) * 0.8
// Moving averages for trend detection
sma_high = ta.sma(high, length) + atr_value
sma_low = ta.sma(low, length) - atr_value
// Signal conditions for trend changes
signal_up = ta.crossover(close, sma_high)
signal_down = ta.crossunder(close, sma_low)
// Entry conditions
if not inTrade and signal_up
entryPrice := close
stopLoss := close - atr_value * 2
targetPrice := close + atr_value * (5 + target_multiplier)
strategy.entry("Long", strategy.long)
strategy.exit("Exit Long", "Long", stop=stopLoss, limit=targetPrice)
inTrade := true
barCount := 0 // Reset bar count when signal occurs
// Exit conditions
if inTrade and (close <= stopLoss or close >= targetPrice)
inTrade := false
entryPrice := na
stopLoss := na
targetPrice := na
barCount := na // Reset bar count on exit
// Re-entry logic
if not inTrade and close == entryPrice
entryPrice := close
stopLoss := close - atr_value * 2
targetPrice := close + atr_value * (5 + target_multiplier)
strategy.entry("Re-Long", strategy.long)
strategy.exit("Re-Exit Long", "Re-Long", stop=stopLoss, limit=targetPrice)
inTrade := true
barCount := 0 // Reset bar count when re-entry happens
// Count bars since the signal appeared (max 30 bars)
if inTrade and barCount < max_bars
barCount := barCount + 1
// Plotting lines for entry, stop-loss, and targets (Only during active trade and within max_bars)
entry_line = plot(inTrade and barCount <= max_bars ? entryPrice : na, title="Entry Price", color=color.new(color.green, 0), linewidth=1, style=plot.style_cross)
sl_line = plot(inTrade and barCount <= max_bars ? stopLoss : na, title="Stop Loss", color=color.new(color.red, 0), linewidth=1, style=plot.style_cross)
target_line = plot(inTrade and barCount <= max_bars ? targetPrice : na, title="Target Price", color=color.new(color.blue, 0), linewidth=1, style=plot.style_cross)
// Background color between entry and target/stop-loss (Only when inTrade and within max_bars)
fill(entry_line, target_line, color=color.new(color.green, 90), title="Target Zone")
fill(entry_line, sl_line, color=color.new(color.red, 90), title="Stop-Loss Zone")
// Label updates (reduce overlap and clutter)
if bar_index % 50 == 0 and inTrade and barCount <= max_bars // Adjust label frequency for performance
label.new(bar_index + 1, entryPrice, text="Entry: " + str.tostring(entryPrice, "#.##"), style=label.style_label_left, color=color.green, textcolor=color.white, size=size.small)
label.new(bar_index + 1, stopLoss, text="Stop Loss: " + str.tostring(stopLoss, "#.##"), style=label.style_label_left, color=color.red, textcolor=color.white, size=size.small)
label.new(bar_index + 1, targetPrice, text="Target: " + str.tostring(targetPrice, "#.##"), style=label.style_label_left, color=color.blue, textcolor=color.white, size=size.small)