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Indicators to Strategy Blueprint

The “Helion Trend Weave” is an exceptionally well-structured indicator, providing a rich dataset on trend phase, strength, and structure. To weaponize this for automated execution, we must translate its descriptive signals into prescriptive trading commands, focusing on robust entry triggers, dynamic risk management, and realistic market friction.

The core philosophy will be to use the primary trend signals for entries while leveraging the indicator’s rich contextual data (alignment, spread, compression) as filters to improve signal quality.

1. Execution Triggers (Entry & Direction)

The indicator provides multiple signal types. For a primary trend-following strategy, the “Weave Cross” (bullCross/bearCross) and “Momentum Surge” (surgeUp/surgeDn) are the most potent entry triggers. We will combine them with filters to create high-probability entry conditions.

2. Multi-Tiered Exit Logic

A static stop or take profit is insufficient. The exit logic must adapt to the volatility and character of the trend as defined by the Helion Weave itself.

3. Capital Allocation & Risk Management

Position sizing is the most critical component for long-term viability. We will use a fixed-fractional risk model.

4. Implementation Snippet (Pine Logic)

This snippet demonstrates the conversion of the indicator into a strategy, incorporating the professional execution logic defined above. It should be appended to or integrated with the existing script code.

// ══════════════════════════════════════════════════════════════════════════════
//                  STRATEGY EXECUTION FRAMEWORK
// ══════════════════════════════════════════════════════════════════════════════

// ──────────────────── STRATEGY CONFIGURATION ────────────────────────────────
//@version=5
// Convert indicator to strategy and set realistic execution parameters
strategy("Helion Trend Weave [Strategy]", 
     overlay=true, 
     initial_capital=100000,
     pyramiding=1, // Allow one additional entry per direction
     commission_type=strategy.commission.percent,
     commission_value=0.04, // Realistic commission for futures/crypto
     slippage=2) // 2 ticks of slippage on market orders

// ──────────────────── STRATEGY INPUTS ───────────────────────────────────────
string GRP_RISK = "Risk & Position Sizing"
float riskPercent      = input.float(1.0, "Risk Per Trade (%)", minval=0.1, maxval=5.0, step=0.1, group=GRP_RISK)
float atrStopMult      = input.float(0.75, "ATR Stop Offset Multiplier", minval=0.25, maxval=3.0, group=GRP_RISK)
float takeProfitRR     = input.float(1.5, "Take Profit 1 (R:R)", minval=1.0, maxval=5.0, group=GRP_RISK)
bool  useDriftExit     = input.bool(true, "Use Drift Fade for Exit?", group=GRP_RISK)
bool  usePyramiding    = input.bool(true, "Pyramid on 'Fan' Signal?", group=GRP_RISK)

// ──────────────────── ENTRY & EXIT CONDITIONS ───────────────────────────────
// Entry Logic
isBullCrossSignal = bullCross and (alignPct > 50)
isBullSurgeSignal = surgeUp and (spreadPct > 30)
enterLong = (isBullCrossSignal or isBullSurgeSignal) and strategy.position_size <= 0

isBearCrossSignal = bearCross and (alignPct > 50)
isBearSurgeSignal = surgeDn and (spreadPct > 30)
enterShort = (isBearCrossSignal or isBearSurgeSignal) and strategy.position_size >= 0

// Exit Logic
exitOnDrift = useDriftExit and driftWarn and strategy.position_size != 0

// Pyramiding Logic
pyramidLong = usePyramiding and fanBull and strategy.position_size > 0 and close > (strategy.opentrades.entry_price(0) + strategy.opentrades.entry_price(0) - (slowest[1] - atrVal[1] * atrStopMult))
pyramidShort = usePyramiding and fanBear and strategy.position_size < 0 and close < (strategy.opentrades.entry_price(0) - ((slowest[1] + atrVal[1] * atrStopMult) - strategy.opentrades.entry_price(0)))

// ──────────────────── POSITION SIZING & EXECUTION ───────────────────────────
// Calculate Stop Loss levels for sizing calculation
longStopPrice  = slowest - (atrVal * atrStopMult)
shortStopPrice = slowest + (atrVal * atrStopMult)

// Dynamic Risk-Based Position Sizing
riskAmount     = strategy.equity * (riskPercent / 100)
riskPerUnitLng = close - longStopPrice
riskPerUnitSht = shortStopPrice - close
positionSizeLng = riskAmount / riskPerUnitLng
positionSizeSht = riskAmount / riskPerUnitSht

// Calculate Take Profit levels
longTakeProfitPrice = close + (riskPerUnitLng * takeProfitRR)
shortTakeProfitPrice = close - (riskPerUnitSht * takeProfitRR)

// --- EXECUTION ENGINE ---
if (enterLong)
    strategy.entry("HTW_Long", strategy.long, qty=positionSizeLng, comment="Enter Long")
    strategy.exit("TP1/SL_L", "HTW_Long", qty_percent=50, profit=longTakeProfitPrice, stop=longStopPrice, comment="TP1/SL Long")
    strategy.exit("SL2_L", "HTW_Long", stop=longStopPrice, comment="Final SL Long")

if (enterShort)
    strategy.entry("HTW_Short", strategy.short, qty=positionSizeSht, comment="Enter Short")
    strategy.exit("TP1/SL_S", "HTW_Short", qty_percent=50, profit=shortTakeProfitPrice, stop=shortStopPrice, comment="TP1/SL Short")
    strategy.exit("SL2_S", "HTW_Short", stop=shortStopPrice, comment="Final SL Short")

// Pyramid Entry
if (pyramidLong)
    strategy.entry("HTW_L_Pyr", strategy.long, qty=positionSizeLng * 0.5, comment="Pyramid Long")
    // Move stop for original trade to breakeven
    strategy.exit("SL2_L", "HTW_Long", stop=strategy.opentrades.entry_price(0), comment="Move SL to B/E")

if (pyramidShort)
    strategy.entry("HTW_S_Pyr", strategy.short, qty=positionSizeSht * 0.5, comment="Pyramid Short")
    strategy.exit("SL2_S", "HTW_Short", stop=strategy.opentrades.entry_price(0), comment="Move SL to B/E")

// Conditional Exit
if (exitOnDrift)
    strategy.close_all(comment="Exit on Drift Fade")

// EOD Exit (Example for daily session, adjust session time as needed)
isEod = time_close("1D") and strategy.position_size != 0
if (isEod)
    strategy.close_all(comment="EOD Exit")