
この戦略は,ブリン帯,RSI指標と200サイクルEMAのトレンドフィルターを組み合わせた高度な量化取引システムである.この戦略は,複数の技術指標の協調的な配合によって,トレンドの方向で高確率の突破の機会を捉え,揺れ動いている市場で偽の信号を効果的にフィルタリングします.システムは,ダイナミックな止損とリスクと利益の比率に基づいた収益目標設定を採用し,安定した取引パフォーマンスを実現することを目指しています.
戦略の核心的な論理は以下の3つのレベルに基づいています.
取引の確認には以下の条件が必要です.
リスク管理の提案:
デザインの基本は
この戦略は,ブリン帯,RSI,EMAなどの技術指標を有機的に組み合わせることで,完全な取引システムを構築している.システムは,取引の質を保証しながら,厳格なリスク制御と柔軟なパラメータ最適化スペースによって,強力な実戦アプリケーション価値を示している.トレーダーは,リアルでパラメータを慎重に検証し,取引の規律を厳格に執行し,戦略のパフォーマンスを継続的に最適化することを推奨している.
/*backtest
start: 2019-12-23 08:00:00
end: 2024-12-10 08:00:00
period: 2d
basePeriod: 2d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy("Improved Bollinger Breakout with Trend Filtering", overlay=true)
// === Inputs ===
length = input(20, title="Bollinger Bands Length", tooltip="The number of candles used to calculate the Bollinger Bands. Higher values smooth the bands, lower values make them more reactive.")
mult = input(2.0, title="Bollinger Bands Multiplier", tooltip="Controls the width of the Bollinger Bands. Higher values widen the bands, capturing more price movement.")
rsi_length = input(14, title="RSI Length", tooltip="The number of candles used to calculate the RSI. Shorter lengths make it more sensitive to recent price movements.")
rsi_midline = input(50, title="RSI Midline", tooltip="Defines the midline for RSI to confirm momentum. Higher values make it stricter for bullish conditions.")
risk_reward_ratio = input(1.5, title="Risk/Reward Ratio", tooltip="Determines the take-profit level relative to the stop-loss.")
atr_multiplier = input(1.5, title="ATR Multiplier for Stop-Loss", tooltip="Defines the distance of the stop-loss based on ATR. Higher values set wider stop-losses.")
volume_filter = input(true, title="Enable Volume Filter", tooltip="If enabled, trades will only execute when volume exceeds the 20-period average.")
trend_filter_length = input(200, title="Trend Filter EMA Length", tooltip="The EMA length used to filter trades based on the market trend.")
trade_direction = input.string("Both", title="Trade Direction", options=["Long", "Short", "Both"], tooltip="Choose whether to trade only Long, only Short, or Both directions.")
confirm_candles = input(2, title="Number of Confirming Candles", tooltip="The number of consecutive candles that must meet the conditions before entering a trade.")
// === Indicator Calculations ===
basis = ta.sma(close, length)
dev = mult * ta.stdev(close, length)
upper_band = basis + dev
lower_band = basis - dev
rsi_val = ta.rsi(close, rsi_length)
atr_val = ta.atr(14)
vol_filter = volume > ta.sma(volume, 20)
ema_trend = ta.ema(close, trend_filter_length)
// === Helper Function for Confirmation ===
confirm_condition(cond, lookback) =>
count = 0
for i = 0 to lookback - 1
count += cond[i] ? 1 : 0
count == lookback
// === Trend Filter ===
trend_is_bullish = close > ema_trend
trend_is_bearish = close < ema_trend
// === Long and Short Conditions with Confirmation ===
long_raw_condition = close > upper_band * 1.01 and rsi_val > rsi_midline and (not volume_filter or vol_filter) and trend_is_bullish
short_raw_condition = close < lower_band * 0.99 and rsi_val < rsi_midline and (not volume_filter or vol_filter) and trend_is_bearish
long_condition = confirm_condition(long_raw_condition, confirm_candles)
short_condition = confirm_condition(short_raw_condition, confirm_candles)
// === Trade Entry and Exit Logic ===
if long_condition and (trade_direction == "Long" or trade_direction == "Both")
strategy.entry("Long", strategy.long)
strategy.exit("Exit Long", "Long", stop=close - (atr_multiplier * atr_val), limit=close + (atr_multiplier * risk_reward_ratio * atr_val))
if short_condition and (trade_direction == "Short" or trade_direction == "Both")
strategy.entry("Short", strategy.short)
strategy.exit("Exit Short", "Short", stop=close + (atr_multiplier * atr_val), limit=close - (atr_multiplier * risk_reward_ratio * atr_val))
// === Plotting ===
plot(upper_band, color=color.green, title="Upper Band")
plot(lower_band, color=color.red, title="Lower Band")
plot(basis, color=color.blue, title="Basis")
plot(ema_trend, color=color.orange, title="Trend Filter EMA")