This strategy is an advanced quantitative trading system that combines moving averages with a dynamic range filter. It identifies market trends by analyzing the relationship between price movements and trading volume, while using a range filter to eliminate false signals and improve trading accuracy. The strategy employs adaptive calculation methods to determine market liquidity boundaries and combines fast and slow moving averages to confirm trend directions.
The core logic of the strategy is based on the following key calculations:
The strategy constructs a complete quantitative trading system by combining liquidity analysis, trend following, and range filtering. Its strengths lie in its ability to adapt to market changes and provide reliable trading signals, while requiring attention to parameter optimization and risk management. Through continuous optimization and improvement, the strategy shows promise in maintaining stable performance across different market environments.
/*backtest start: 2019-12-23 08:00:00 end: 2024-12-15 08:00:00 period: 1d basePeriod: 1d exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=6 strategy("Killer Coin V2 + Range Filter Strategy", shorttitle="KC-RF Strategy", overlay=true ) // === INPUT BACKTEST RANGE === useDate = input(true, title='---------------- Use Date ----------------', group="Backtest Settings") FromMonth = input.int(7, title="From Month", minval=1, maxval=12, group="Backtest Settings") FromDay = input.int(25, title="From Day", minval=1, maxval=31, group="Backtest Settings") FromYear = input.int(2019, title="From Year", minval=2017, group="Backtest Settings") ToMonth = input.int(1, title="To Month", minval=1, maxval=12, group="Backtest Settings") ToDay = input.int(1, title="To Day", minval=1, maxval=31, group="Backtest Settings") ToYear = input.int(9999, title="To Year", minval=2017, group="Backtest Settings") start = timestamp(FromYear, FromMonth, FromDay, 00, 00) finish = timestamp(ToYear, ToMonth, ToDay, 23, 59) window() => time >= start and time <= finish // === KILLER COIN V2 INPUTS === outlierThreshold = input.int(10, "Outlier Threshold Length", group="Killer Coin Settings") fastMovingAverageLength = input.int(50, "Fast MA length", group="Killer Coin Settings") slowMovingAverageLength = input.int(100, "Slow MA length", group="Killer Coin Settings") // === RANGE FILTER INPUTS === sources = input(close, "Source", group="Range Filter Settings") isHA = input(false, "Use HA Candles", group="Range Filter Settings") per = input.int(50, "Sampling Period", minval=1, group="Range Filter Settings") mult = input.float(3.0, "Range Multiplier", minval=0.1, group="Range Filter Settings") // === KILLER COIN V2 CALCULATIONS === priceMovementLiquidity = volume / math.abs(close - open) liquidityBoundary = ta.ema(priceMovementLiquidity, outlierThreshold) + ta.stdev(priceMovementLiquidity, outlierThreshold) var liquidityValues = array.new_float(5) if ta.crossover(priceMovementLiquidity, liquidityBoundary) array.insert(liquidityValues, 0, close) fastEMA = ta.ema(array.get(liquidityValues, 0), fastMovingAverageLength) slowEMA = ta.ema(array.get(liquidityValues, 0), slowMovingAverageLength) // === RANGE FILTER CALCULATIONS === src = isHA ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, sources) : sources // Smooth Average Range smoothrng(x, t, m) => wper = (t*2) - 1 avrng = ta.ema(math.abs(x - x[1]), t) smoothrng = ta.ema(avrng, wper)*m smoothrng smrng = smoothrng(src, per, mult) // Range Filter rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt[1]) ? ((x - r) < nz(rngfilt[1]) ? nz(rngfilt[1]) : (x - r)) : ((x + r) > nz(rngfilt[1]) ? nz(rngfilt[1]) : (x + r)) rngfilt filt = rngfilt(src, smrng) // Filter Direction upward = 0.0 upward := filt > filt[1] ? nz(upward[1]) + 1 : filt < filt[1] ? 0 : nz(upward[1]) downward = 0.0 downward := filt < filt[1] ? nz(downward[1]) + 1 : filt > filt[1] ? 0 : nz(downward[1]) // Target Bands hband = filt + smrng lband = filt - smrng // === PLOTTING === // Killer Coin V2 Plots bullColor = color.new(#00ffbb, 50) bearColor = color.new(#800080, 50) fastPlot = plot(fastEMA, "Fast EMA", color = fastEMA > slowEMA ? bullColor : bearColor) slowPlot = plot(slowEMA, "Slow EMA", color = fastEMA > slowEMA ? bullColor : bearColor) fill(fastPlot, slowPlot, color = fastEMA > slowEMA ? bullColor : bearColor) // Range Filter Plots filtcolor = upward > 0 ? color.new(color.lime, 0) : downward > 0 ? color.new(color.red, 0) : color.new(color.orange, 0) filtplot = plot(filt, "Range Filter", color=filtcolor, linewidth=3) hbandplot = plot(hband, "High Target", color=color.new(color.aqua, 90)) lbandplot = plot(lband, "Low Target", color=color.new(color.fuchsia, 90)) fill(hbandplot, filtplot, color=color.new(color.aqua, 90)) fill(lbandplot, filtplot, color=color.new(color.fuchsia, 90)) // === STRATEGY CONDITIONS === // Range Filter Conditions longCond = ((src > filt) and (src > src[1]) and (upward > 0)) or ((src > filt) and (src < src[1]) and (upward > 0)) shortCond = ((src < filt) and (src < src[1]) and (downward > 0)) or ((src < filt) and (src > src[1]) and (downward > 0)) CondIni = 0 CondIni := longCond ? 1 : shortCond ? -1 : CondIni[1] longCondition = longCond and CondIni[1] == -1 shortCondition = shortCond and CondIni[1] == 1 // Combined Conditions finalLongSignal = longCondition and fastEMA > slowEMA and window() finalShortSignal = shortCondition and fastEMA < slowEMA and window() // === PLOTTING SIGNALS === plotshape(finalLongSignal, "Buy Signal", text="BUY", textcolor=color.white, style=shape.labelup, size=size.normal, location=location.belowbar, color=color.new(color.green, 0)) plotshape(finalShortSignal, "Sell Signal", text="SELL", textcolor=color.white, style=shape.labeldown, size=size.normal, location=location.abovebar, color=color.new(color.red, 0)) // === STRATEGY ENTRIES === if finalLongSignal strategy.entry("Long", strategy.long, stop=hband) if finalShortSignal strategy.entry("Short", strategy.short, stop=lband) // === ALERTS === alertcondition(finalLongSignal, "Strong Buy Signal", "🚨 Buy - Both Indicators Aligned!") alertcondition(finalShortSignal, "Strong Sell Signal", "🚨 Sell - Both Indicators Aligned!")