ba1fe4433e
Changes: - moneyline_v11_2_indicator.pinescript: Alert format now includes SCORE:100 - parse_signal_enhanced.json: Added indicatorScore parsing (SCORE:X regex) - execute/route.ts: Added hasIndicatorScore bypass (score >= 90 bypasses quality check) - Money_Machine.json: Both Execute Trade nodes now pass indicatorScore to API Rationale: v11.2 indicator filters already optimized (2.544 PF, +51.80% return). Bot-side quality scoring was blocking proven profitable signals (e.g., quality 75). Now indicator passes SCORE:100, bot respects it and executes immediately. This completes the signal chain: Indicator (SCORE:100) → n8n parser (indicatorScore) → workflow → bot endpoint (bypass)
116 lines
5.3 KiB
Plaintext
116 lines
5.3 KiB
Plaintext
//@version=6
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strategy("Breaker v1 SIMPLE", overlay=true, pyramiding=0, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
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// =============================================================================
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// SIMPLIFIED BREAKER - Removed squeeze/release complexity
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// Core idea: BB breakout + EMA trend + minimal filters
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// =============================================================================
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// === TREND (proven in Money Line) ===
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emaFastLen = input.int(50, "EMA Fast", minval=1, group="Trend")
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emaSlowLen = input.int(200, "EMA Slow", minval=1, group="Trend")
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// === BOLLINGER BANDS ===
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bbLen = input.int(20, "BB Length", minval=5, group="BB")
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bbMult = input.float(2.0, "BB Mult", minval=0.5, step=0.1, group="BB")
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// === MINIMAL FILTERS ===
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adxLen = input.int(14, "ADX Length", minval=5, group="Filters")
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adxMin = input.int(15, "ADX Min", minval=0, maxval=50, group="Filters")
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rsiLen = input.int(14, "RSI Length", minval=2, group="Filters")
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rsiLongMin = input.float(55, "RSI Long Min", minval=0, maxval=100, group="Filters")
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rsiLongMax = input.float(72, "RSI Long Max", minval=0, maxval=100, group="Filters")
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rsiShortMin = input.float(28, "RSI Short Min", minval=0, maxval=100, group="Filters")
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rsiShortMax = input.float(45, "RSI Short Max", minval=0, maxval=100, group="Filters")
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cooldownBars = input.int(3, "Cooldown Bars", minval=0, group="Filters")
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// === EXITS ===
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tpPct = input.float(1.0, "TP %", minval=0.1, maxval=10, step=0.1, group="Exits")
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slPct = input.float(0.5, "SL %", minval=0.1, maxval=10, step=0.1, group="Exits")
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// =============================================================================
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// CALCULATIONS
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// =============================================================================
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// EMAs
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emaFast = ta.ema(close, emaFastLen)
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emaSlow = ta.ema(close, emaSlowLen)
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trendLong = emaFast > emaSlow
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trendShort = emaFast < emaSlow
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// Bollinger Bands
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basis = ta.sma(close, bbLen)
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dev = bbMult * ta.stdev(close, bbLen)
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upper = basis + dev
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lower = basis - dev
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// BB breakout (simple close above/below)
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bbBreakLong = close > upper
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bbBreakShort = close < lower
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// Indicators
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rsi = ta.rsi(close, rsiLen)
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[_, _, adxVal] = ta.dmi(adxLen, adxLen)
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// Filter checks
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adxOk = adxVal >= adxMin
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rsiLongOk = rsi >= rsiLongMin and rsi <= rsiLongMax
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rsiShortOk = rsi >= rsiShortMin and rsi <= rsiShortMax
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// Cooldown
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var int lastBar = 0
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cooldownOk = bar_index - lastBar > cooldownBars
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// =============================================================================
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// SIGNALS - Simple: Trend + BB breakout + RSI + ADX
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// =============================================================================
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longSignal = trendLong and bbBreakLong and adxOk and rsiLongOk and cooldownOk
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shortSignal = trendShort and bbBreakShort and adxOk and rsiShortOk and cooldownOk
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// =============================================================================
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// ENTRIES & EXITS
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// =============================================================================
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if longSignal
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strategy.entry("Long", strategy.long)
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lastBar := bar_index
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if shortSignal
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strategy.entry("Short", strategy.short)
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lastBar := bar_index
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// Exits
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if strategy.position_size > 0
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strategy.exit("L Exit", "Long", stop=strategy.position_avg_price * (1 - slPct/100), limit=strategy.position_avg_price * (1 + tpPct/100))
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if strategy.position_size < 0
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strategy.exit("S Exit", "Short", stop=strategy.position_avg_price * (1 + slPct/100), limit=strategy.position_avg_price * (1 - tpPct/100))
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// =============================================================================
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// PLOTS
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// =============================================================================
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plot(emaFast, "EMA 50", color=color.green, linewidth=1)
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plot(emaSlow, "EMA 200", color=color.red, linewidth=1)
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plot(upper, "BB Upper", color=color.teal)
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plot(lower, "BB Lower", color=color.teal)
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plotshape(longSignal, "Buy", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.small)
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plotshape(shortSignal, "Sell", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
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// Debug table
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var table dbg = table.new(position.top_right, 2, 6, bgcolor=color.new(color.black, 80))
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if barstate.islast
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table.cell(dbg, 0, 0, "Trend", text_color=color.white)
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table.cell(dbg, 1, 0, trendLong ? "LONG ✓" : trendShort ? "SHORT ✓" : "FLAT", text_color=trendLong ? color.lime : trendShort ? color.red : color.gray)
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table.cell(dbg, 0, 1, "BB Break", text_color=color.white)
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table.cell(dbg, 1, 1, bbBreakLong ? "UP ✓" : bbBreakShort ? "DN ✓" : "none", text_color=bbBreakLong ? color.lime : bbBreakShort ? color.red : color.gray)
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table.cell(dbg, 0, 2, "ADX", text_color=color.white)
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table.cell(dbg, 1, 2, str.tostring(adxVal, "#.#") + (adxOk ? " ✓" : " ✗"), text_color=adxOk ? color.lime : color.red)
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table.cell(dbg, 0, 3, "RSI", text_color=color.white)
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table.cell(dbg, 1, 3, str.tostring(rsi, "#.#"), text_color=rsiLongOk or rsiShortOk ? color.lime : color.orange)
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table.cell(dbg, 0, 4, "Cooldown", text_color=color.white)
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table.cell(dbg, 1, 4, cooldownOk ? "OK ✓" : "wait", text_color=cooldownOk ? color.lime : color.orange)
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table.cell(dbg, 0, 5, "Signal", text_color=color.white)
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table.cell(dbg, 1, 5, longSignal ? "BUY!" : shortSignal ? "SELL!" : "—", text_color=longSignal ? color.lime : shortSignal ? color.red : color.gray)
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