Este artículo presenta principalmente una estrategia de negociación cuantitativa basada en las zonas de Fibonacci y la configuración de DCA con indicadores ADX. La estrategia utiliza las zonas de Fibonacci para determinar la tendencia y la volatilidad, se combina con los indicadores ADX para medir la fuerza de la tendencia, entra en operaciones siguiendo la dirección de la tendencia principal en mercados con tendencias fuertes, evita el comercio en mercados laterales, para maximizar las ganancias y minimizar los riesgos.
Captura grandes movimientos de tendencia mientras evita los golpes en mercados agitados.
Las zonas de Fibonacci funcionan como niveles dinámicos de soporte/resistencia para identificar puntos de inflexión.
DCA permite mejores entradas y maximiza el potencial de ganancia de las tendencias.
ADX mide la fuerza de la tendencia para evitar malas operaciones.
Todos los componentes como los precios TP, SO y SL se actualizan dinámica y automáticamente.
ADX y DI pueden dar señales falsas sin confirmación adicional del indicador.
Las áreas en las zonas de Fibonacci son subjetivas y pueden perder oportunidades.
DCA falla si el precio se mueve fuertemente en contra de la posición antes de que se active el SO.
La parada del rastro o el objetivo de ganancia pueden salir antes de alcanzar su máximo potencial.
Es posible que los riesgos de sesgo en las pruebas de retroceso y de ajuste de curvas no replicen el rendimiento en vivo.
Añadir más indicadores como el RSI, estocásticos para confirmar las señales.
Optimice los parámetros de entrada de ADX y Fibonacci para un mejor rendimiento.
Experimentar con algoritmos más inteligentes para detener pérdidas.
Ampliar las pruebas en más símbolos y marcos de tiempo para garantizar la robustez.
Utilice predicciones de aprendizaje automático para detener pérdidas dinámicas y obtener ganancias.
Esta estrategia combina estadísticas de Fibonacci e indicadores como ADX para identificar configuraciones de alta probabilidad para ir largo o evitar el comercio por completo.
/*backtest start: 2022-11-30 00:00:00 end: 2023-12-06 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // © Fibonacci Zone DCA Strategy - R3c0nTrader ver 2022-06-12 // For backtesting with 3Commas DCA Bot settings // Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this strategy // Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy //@version=5 strategy('Fibonacci Zone DCA Strategy - R3c0nTrader', shorttitle='Fibonacci Zone DCA Strategy', overlay=true ) // Strategy Inputs // Start and End Dates i_startTime = input(defval=timestamp('01 Jan 2015 00:00 +0000'), title='Start Time', group="Date Range") i_endTime = input(defval=timestamp('31 Dec 2050 23:59 +0000'), title='End Time', group="Date Range") inDateRange = true // Fibonacci Settings sourceInput = input.source(close, "Source", group="Trade Entry Settings") per = input(14, title='Fibonacci length', tooltip='Number of bars to look back. Recommended for beginners to set ADX Smoothing and DI Length to the same value as this.', group="Trade Entry Settings") hl = ta.highest(high, per) //High Line (Border) ll = ta.lowest(low, per) //Low Line (Border) dist = hl - ll //range of the channel hf = hl - dist * 0.236 //Highest Fibonacci line cfh = hl - dist * 0.382 //Center High Fibonacci line cfl = hl - dist * 0.618 //Center Low Fibonacci line lf = hl - dist * 0.764 //Lowest Fibonacci line // ADX Settings lensig = input.int(14, title="ADX Smoothing", tooltip='Fibonacci signals work best when market is trending. ADX is used to measure trend strength. Default value is 14. Recommend for beginners to match this with Fibonacci length and DI Length',minval=1, maxval=50, group="Trade Entry Settings") len = input.int(14, minval=1, title="DI Length", tooltip='Fibonacci signals work best when market is trending. DI Length is used to calculate ADX to measure trend strength. Default value is 14. Recommend for beginners to match this with Fibonacci length and ADX Smoothing.', group="Trade Entry Settings") adx_min = input.int(25, title='Min ADX value to open trade', tooltip='Use this to set the minium ADX value (trend strength) to open trade. 25 or higher is recommended for beginners. 0 to 20 is a weak trend. 25 to 35 is a strong trend. 35 to 45 is a very strong trend. 45 to 100 is an extremely strong trend.', group="Trade Entry Settings") up = ta.change(high) down = -ta.change(low) plusDM = na(up) ? na : (up > down and up > 0 ? up : 0) minusDM = na(down) ? na : (down > up and down > 0 ? down : 0) trur = ta.rma(ta.tr, len) di_plus = fixnan(100 * ta.rma(plusDM, len) / trur) di_minus = fixnan(100 * ta.rma(minusDM, len) / trur) sum = di_plus + di_minus adx = 100 * ta.rma(math.abs(di_plus - di_minus) / (sum == 0 ? 1 : sum), lensig) fib_choice = input.string("2-Higher than the top of the Downtrend Fib zone", title="Open a trade when the price moves:", options=["1-To the bottom of Downtrend Fib zone", "2-Higher than the top of the Downtrend Fib zone", "3-Higher than the bottom of Ranging Fib Zone", "4-Higher than the top of Ranging Fib Zone", "5-Higher than the bottom of Uptrend Fib Zone", "6-To the top of Uptrend Fib Zone"], tooltip='There are three fib zones. The options are listed from the bottom zone to the top zone. The bottom zone is the Downtrend zone; the middle zone is the Ranging zone; The top fib zone is the Uptrend zone;', group="Trade Entry Settings") di_choice = input.bool(false, title="Only open trades on bullish +DI (Positive Directional Index)? (off for contrarian traders)", tooltip= 'Default is disabled. If you want to be more selective (you want a bullish confirmation), enable this and it will only open trades when the +DI (Positive Directional Index) is higher than the -DI (Negative Directional Index). Contrarian traders (buy the dip) should leave this disabled', group="Trade Entry Settings") di_min = input.int(0, title='Min +DI value to open trade', tooltip='Default is zero. Use this to set the minium +DI value to open the trade. Try incrementing this value if you want to be more selective and filter for more bullish moves (e.g. 20-25). For Contrarian traders, uncheck "Only open trades on bullish DI" option and set Min +DI to zero', group="Trade Entry Settings") di_max = input.int(100, title='Max +DI value to open trade', tooltip='Default is 100. Use this to set the maxium +DI value to open trade. For Contrarian traders, uncheck "Only open trades on bullish DI" option and try a Max +DI value no higher than 20 or 25', group="Trade Entry Settings") di_inrange = di_plus >= di_min and di_plus <= di_max // Truncate function truncate(number, decimals) => factor = math.pow(10, decimals) int(number * factor) / factor //Declare take_profit take_profit = float(0.22) // Take Profit Drop-down menu option tp_choice = input.string("Target Take Profit (%)", title="Take profit using:", options=["Target Take Profit (%)", "High Fibonacci Border-1", "High Fibonacci Border-2"], tooltip= 'Select how to exit your trade and take profit. Then specify below this option the condition to exit. "High Fibonacci Border-1" is the top-most Fibonacci line in the green uptrend zone. "High Fibonacci Border-2" is the bottom Fibonacci line in the green uptrend zone. You can find these lines on the "Style" tab and toggle them off/on to locate these lines for more clarity', group="Trade Exit Settings") if tp_choice == "Target Take Profit (%)" take_profit := input.float(22.0, title='Target Take Profit (%)', step=0.5, minval=0.0, tooltip='Only used if "Target Take Profit (%)" is selected above.', group="Trade Exit Settings") / 100 take_profit else if tp_choice == "High Fibonacci Border-1" take_profit := float(hl) take_profit else if tp_choice == "High Fibonacci Border-2" take_profit := float(hf) take_profit trailing = input.float(0.0, title='Trailing deviation. Default= 0.0 (%)', step=0.5, minval=0.0, group="Trade Exit Settings") / 100 base_order = input(100.0, title='Base order', group="Trade Entry Settings") safe_order = input(200.0, title='Safety order', group="Trade Entry Settings") price_deviation = input.float(6.0, title='Price deviation to open safety orders (%)', step=0.25, minval=0.0, group="Trade Entry Settings") / 100 safe_order_volume_scale = input.float(2.0, step=0.5, title='Safety order volume scale', group="Trade Entry Settings") safe_order_step_scale = input.float(1.4, step=0.1, title='Safety order step scale', group="Trade Entry Settings") max_safe_order = input(5, title='Max safety orders', group="Trade Entry Settings") var current_so = 0 var initial_order = 0.0 var previous_high_value = 0.0 var original_ttp_value = 0.0 // Calculate our key levels take_profit_level = strategy.position_avg_price * (1 + take_profit) if tp_choice == "Target Take Profit (%)" take_profit_level := strategy.position_avg_price * (1 + take_profit) else take_profit_level := take_profit fib_trigger = bool(false) if fib_choice == "2-Higher than the top of the Downtrend Fib zone" fib_trigger := ta.crossover(sourceInput, lf) else if fib_choice == "1-To the bottom of Downtrend Fib zone" fib_trigger := sourceInput <= ll else if fib_choice == "3-Higher than the bottom of Ranging Fib Zone" fib_trigger := ta.crossover(sourceInput, cfl) else if fib_choice == "4-Higher than the top of Ranging Fib Zone" fib_trigger := ta.crossover(sourceInput, cfh) else if fib_choice == "5-Higher than the bottom of Uptrend Fib Zone" fib_trigger := ta.crossover(sourceInput, hf) else if fib_choice == "6-To the top of Uptrend Fib Zone" fib_trigger := sourceInput >= hl // If option enabled for enter trades only when DI is positive, then open trade based on user settings if di_choice == true and strategy.position_size == 0 and sourceInput > 0 and inDateRange and fib_trigger and adx >= adx_min and di_plus > di_minus and di_inrange strategy.entry('Long @' + str.tostring(sourceInput)+'💎✋🤚', strategy.long, qty=base_order / sourceInput) initial_order := sourceInput current_so := 1 previous_high_value := 0.0 fib_trigger := false original_ttp_value := 0 original_ttp_value // Open First Position when candle source value crosses above the 'Low Fibonacci Border-1' else if di_choice == false and strategy.position_size == 0 and sourceInput > 0 and inDateRange and fib_trigger and adx >= adx_min and di_inrange strategy.entry('Long @' + str.tostring(sourceInput)+'💎✋🤚', strategy.long, qty=base_order / sourceInput) initial_order := sourceInput current_so := 1 previous_high_value := 0.0 fib_trigger := false original_ttp_value := 0 original_ttp_value threshold = 0.0 if safe_order_step_scale == 1.0 threshold := initial_order - initial_order * price_deviation * safe_order_step_scale * current_so threshold else if current_so <= max_safe_order threshold := initial_order - initial_order * ((price_deviation * math.pow(safe_order_step_scale, current_so) - price_deviation) / (safe_order_step_scale - 1)) threshold else if current_so > max_safe_order threshold := initial_order - initial_order * ((price_deviation * math.pow(safe_order_step_scale, max_safe_order) - price_deviation) / (safe_order_step_scale - 1)) threshold // Average down when lowest candle value crosses below threshold if current_so > 0 and low <= threshold and current_so <= max_safe_order and previous_high_value == 0.0 // Trigger a safety order at the Safety Order "threshold" price strategy.entry('😨🙏 SO ' + str.tostring(current_so) + '@' + str.tostring(threshold), direction=strategy.long, qty=safe_order * math.pow(safe_order_volume_scale, current_so - 1) / threshold) current_so += 1 current_so // Take Profit! // Take profit when take profit level is equal to or higher than the high of the candle if take_profit_level <= high and strategy.position_size > 0 or previous_high_value > 0.0 if trailing > 0.0 if previous_high_value > 0.0 if high >= previous_high_value previous_high_value := sourceInput previous_high_value else previous_high_percent = (previous_high_value - original_ttp_value) * 1.0 / original_ttp_value current_high_percent = (high - original_ttp_value) * 1.0 / original_ttp_value if previous_high_percent - current_high_percent >= trailing strategy.close_all(comment='Close (trailing) @' + str.tostring(truncate(current_high_percent * 100, 3)) + '%') current_so := 0 previous_high_value := 0 original_ttp_value := 0 original_ttp_value else previous_high_value := high original_ttp_value := high original_ttp_value else strategy.close_all(comment='💰 Close @' + str.tostring(high)) current_so := 0 previous_high_value := 0 original_ttp_value := 0 original_ttp_value // Plot Fibonacci Areas fill(plot(hl, title='High Fibonacci Border-1', color=color.new(#53ed0f, 50), linewidth=3), plot(hf, title='High Fibonacci Border-2', color=color.new(#38761d, 50), linewidth=3), color=color.new(#00FFFF, 80), title='Uptrend Fibonacci Zone @ 23.6%') //uptrend zone fill(plot(cfh, title='Center Low Fibonacci Border-1', color=color.new(#0589f4, 50), linewidth=3), plot(cfl, title='Center Low Fibonacci Border-2', color=color.new(#2018ff, 50), linewidth=3), color=color.new(color.blue, 80), title='Ranging Fibonacci Zone @ 61.8%') // ranging zone fill(plot(lf, title='Low Fibonacci Border-1', color=color.new(color.yellow, 50), linewidth=3), plot(ll, title='Low Fibonacci Border-2', color=color.new(color.red, 50), linewidth=3), color=color.new(color.orange, 80), title='Downtrend Fibonacci Zone @ 76.4%') //down trend zone // Plot TP plot(strategy.position_size > 0 ? take_profit_level : na, style=plot.style_linebr, color=color.green, linewidth=2, title="Take Profit") // Plot All Safety Order lines except for last one as bright blue plot(strategy.position_size > 0 and current_so <= max_safe_order and current_so > 0 ? threshold : na, style=plot.style_linebr, color=color.new(#00ffff,0), linewidth=2, title="Safety Order") // Plot Last Safety Order Line as Red plot(strategy.position_size > 0 and current_so > max_safe_order ? threshold : na, style=plot.style_linebr, color=color.red, linewidth=2, title="No Safety Orders Left") // Plot Average Position Price Line as Orange plot(strategy.position_size > 0 ? strategy.position_avg_price : na, style=plot.style_linebr, color=color.orange, linewidth=2, title="Avg Position Price") // Fill TP Area and SO Area h1 = plot(strategy.position_avg_price, color=color.new(#000000,100), title="Avg Price Plot Area", display=display.none, editable=false) h2 = plot(take_profit_level, color=color.new(#000000,100), title="Take Profit Plot Area", display=display.none, editable=false) h3 = plot(threshold, color=color.new(#000000,100), title="SO Plot Area", display=display.none, editable=false) // Fill TP Area and SO Area fill(h1,h2,color=color.new(#38761d,80), title="Take Profit Plot Area") // Current SO Area fill(h1,h3,color=color.new(#3d85c6,80), title="SO Plot Area")