
これはATR動態調整に基づくトレンド追跡戦略で,移動平均とATR指標を組み合わせて入場と出場の位置を決定する.この戦略の核心は,ATR動態調整による移動平均の上下軌道,価格が軌道上を突破したときに入場を多めにすること,ATR倍数に基づくストップとストップポイントを設定することである.また,戦略には,価格が入場地点に戻ったときに再ポジションを許可する革新的な再エントリーメカニズムが含まれている.
この戦略は以下の要素に基づいて機能します.
これは,合理的で論理的に明確なトレンド追跡戦略を設計し,ATRの動的調整によって優れた市場適応性を提供している.戦略の再入場機構は,市場が良好な条件下で追加の収益の機会を提供できる革新的な点である.注意すべきいくつかのリスク点があるが,提案された最適化の方向によって戦略の安定性と収益性をさらに向上させることができる.体系的な取引方法を求める投資家にとって,これは考慮すべき基本的な戦略の枠組みである.
/*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)