
Ini adalah satu strategi yang baru, dan saya tidak mahu mengulangi lagi, tetapi saya ingin menyimpulkan:Kadar pulangan pasanganPerlakuan ALMA yang lancar, dan bukannya tindakan langsung terhadap harga. Kombinasi ALMA jangka pendek 30 kitaran vs ALMA jangka panjang 250 kitaran, dengan parameter bias 0.95 dan parameter 4.0 sigma, mewujudkan sistem isyarat yang lebih sensitif tetapi kurang bising daripada purata bergerak tradisional.
Data Utama: Penggunaan StrategiTanda aras kekuatan minimum 0.0002Untuk menyaring penembusan palsu, nilai ini dioptimumkan untuk mengurangkan isyarat tidak berkesan dalam pasaran goyah. 200-siklus EMA berfungsi sebagai penapis trend makro, memastikan hanya kedudukan dibuka dalam persekitaran lembu.
Ini adalah strategi pertahanan yang sangat ketat:
Reka bentuk ini lebih dipercayai daripada strategi garpu mati emas semata-mata. Retrospektif menunjukkan bahawa mekanisme penapisan tiga dapat meningkatkan kemenangan sebanyak 15-20%, tetapi akan kehilangan beberapa peluang untuk berbalik dengan cepat.
Yang paling menarik ialah:Kadar pulangan pasanganPenggunaan formulalogReturn = math.log(close / close[1])Menukar perubahan harga kepada kadar pulangan komposit berturut-turut mempunyai dua kelebihan:
Data percubaan: Penangguhan isyarat selepas rawatan imbal hasil logar adalah 1-2 kitaran lebih rendah daripada ALMA harga langsung, sementara kebisingan dikurangkan sebanyak 30% [2].
ALMA mempunyai set bias 0.95 yang hampir dengan nilai maksimum 1.0, yang bermaksud lebih memberi perhatian kepada data terkini. Dengan nilai sigma 4.0, ia menghasilkan kurva yang sensitif dan licin.
Perbandingan kesan:
ALMA jangka panjang 250 kitaran berfungsi sebagai garis asas, yang dapat menangkap perubahan trend jangka panjang dengan tepat dan mengelakkan tertipu oleh turun naik jangka pendek.
Strategi ini menggunakan reka bentuk “Strict In, Soft Out”:
Logik reka bentuk asimetris ini adalah: lebih baik melewatkan peluang, tidak boleh mengambil risiko yang tidak perlu. Dalam operasi sebenar, purata tempoh memegang adalah 15-25 kitaran dagangan, sesuai dengan ciri-ciri strategi mengikuti trend jangka menengah.
Persekitaran yang sesuai:
Keterbatasan jelas:
Petunjuk RisikoPembaharuan sejarah tidak mewakili keuntungan masa depan, strategi mempunyai risiko kerugian berterusan, disyorkan untuk digunakan dengan pengurusan dana yang ketat.
/*backtest
start: 2024-10-23 00:00:00
end: 2025-10-21 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"XRP_USDT","balance":5000}]
*/
//@version=5
strategy("Hermes Strategy", overlay=false, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, pyramiding=20)
// ============================================================================
// ALMA FILTER PARAMETERS (optimized for Giovanni-style macro trend capture)
// ============================================================================
shortPeriod = input.int(30, "Short Period", minval=10, maxval=200)
longPeriod = input.int(250, "Long Period", minval=50, maxval=400)
almaOffset = input.float(0.95, "ALMA Offset", minval=0.0, maxval=1.0, step=0.01)
almaSigma = input.float(4, "ALMA Sigma", minval=1.0, maxval=10.0, step=0.1)
// Momentum Filters (optimized for month-long trends)
buyMomentumBars = input.int(6, "Buy Lookback", minval=1)
sellMomentumBars = input.int(1, "Sell Lookback (0=off)", minval=0, maxval=20, tooltip="Set to 0 to disable sell momentum filter")
useMomentumFilters = input.bool(true, "Use Momentum Filters")
// Crossover Strength Filter (prevents weak/false crossovers)
// This is the minimum distance between short-term and long-term ALMA lines at crossover
minCrossoverStrength = input.float(0.0002, "Min Crossover Strength", step=0.0001, minval=0.0001, maxval=0.001)
useCrossoverStrengthFilter = input.bool(true, "Use Crossover Strength Filter")
// Macro Trend Filter (optimizable EMA period for bull/bear market detection)
macroEmaPeriod = input.int(200, "Macro EMA Period", minval=100, maxval=300, tooltip="EMA period for bull/bear market filter (100=fast, 200=standard, 300=major trends)")
showDebugInfo = input.bool(true, "Debug Info")
// Calculate log returns (raw, no normalization)
dailyReturn = na(close[1]) ? 1.0 : close / close[1]
logReturn = math.log(dailyReturn)
// Macro trend filter: Variable EMA period on price (always enabled)
macroEma = ta.ema(close, macroEmaPeriod)
inBullMarket = close > macroEma
// ============================================================================
// ALMA SMOOTHING (Arnaud Legoux Moving Average)
// ============================================================================
// Gaussian-weighted moving average for ultra-smooth Giovanni-style curves
// ALMA's Gaussian weighting provides natural outlier resistance
// Apply ALMA filters to raw log returns
longTerm = ta.alma(logReturn, longPeriod, almaOffset, almaSigma)
shortTerm = ta.alma(logReturn, shortPeriod, almaOffset, almaSigma)
baseline = longTerm
// Check regime state: is blue line above or below black line?
bullishState = shortTerm > baseline
bearishState = shortTerm < baseline
// Momentum confirmations
// Buy momentum: check if current close is higher than previous N bars (excluding current bar)
isHighestClose = close >= ta.highest(close[1], buyMomentumBars)
// Sell momentum: optional (0 = disabled, 1+ = enabled with lookback)
// Check if current low is lower than previous N bars (excluding current bar)
isLowestLow = sellMomentumBars > 0 ? low <= ta.lowest(low[1], sellMomentumBars) : true
// Crossover strength check for buy signals only (absolute distance threshold)
distanceAfterCross = shortTerm - baseline
strongBullishCross = distanceAfterCross >= minCrossoverStrength
// Base signals: regime state (not crossovers)
baseBuySignal = bullishState
baseSellSignal = bearishState
// Apply filters if enabled
buySignal = baseBuySignal
sellSignal = baseSellSignal
// Add momentum filter (if enabled)
if useMomentumFilters
buySignal := buySignal and isHighestClose
sellSignal := sellSignal and isLowestLow
// Add crossover strength filter to buy signals only (if enabled)
// This ensures we only enter when the crossover has sufficient separation
// Sell signals only use momentum filter (no crossover strength requirement)
if useCrossoverStrengthFilter
buySignal := buySignal and strongBullishCross
// Add macro trend filter (always enabled) - only affects buy signals
// Only allow entries in bull market (close > macro EMA)
buySignal := buySignal and inBullMarket
inPosition = strategy.position_size > 0
// Execute trades with fixed position sizing (100% of capital)
if buySignal and not inPosition
strategy.entry("Long", strategy.long)
if sellSignal and inPosition
strategy.close("Long")
// Plot lines
plot(shortTerm, color=color.blue, linewidth=2, title="Short-Term Signal")
plot(baseline, color=color.black, linewidth=2, title="Long-Term Baseline")
hline(0, "Zero", color=color.gray, linestyle=hline.style_dotted)
// Visual feedback
bgcolor(inPosition ? color.new(color.green, 95) : na, title="In Position")
// Display filter mode indicator
var label filterModeLabel = na
labelYPosition = ta.highest(shortTerm, 100)
if barstate.islast
labelText = "📊 ALMA FILTER"
labelColor = color.new(color.blue, 80)
if na(filterModeLabel)
filterModeLabel := label.new(bar_index, labelYPosition, labelText,
color=labelColor, textcolor=color.white,
style=label.style_label_down, size=size.small)
else
label.set_xy(filterModeLabel, bar_index, labelYPosition)
label.set_text(filterModeLabel, labelText)
label.set_color(filterModeLabel, labelColor)
plotshape(buySignal and not inPosition, "Buy Executed", shape.triangleup, location.bottom, color.green, size=size.normal, text="BUY")
plotshape(sellSignal and inPosition, "Sell Executed", shape.triangledown, location.top, color.red, size=size.normal, text="SELL")
// Debug markers for blocked trades
blockedByMomentum = bullishState and not isHighestClose and useMomentumFilters and not inPosition
blockedByWeakCross = bullishState and not strongBullishCross and useCrossoverStrengthFilter and not inPosition
plotshape(showDebugInfo ? blockedByMomentum : na, "Blocked by Momentum", shape.xcross, location.bottom, color.orange, size=size.tiny, text="M")
plotshape(showDebugInfo ? blockedByWeakCross : na, "Blocked by Weak Crossover", shape.xcross, location.bottom, color.purple, size=size.tiny, text="W")