Strategi ini menggabungkan pelbagai penunjuk teknikal untuk mencapai pengesanan trend yang jelas.
Dengan mensintesis isyarat dari penunjuk ini, strategi dapat mengenal pasti trend dengan lebih tepat.
Pertama, purata bergerak dan sampulnya digunakan untuk menentukan arah trend.
Kedua, garis KD dari osilator stokastik digunakan untuk mengesan keadaan oversold/overbought, yang biasanya menyiratkan peluang untuk pembalikan.
Kemudian, penunjuk jumlah harga dibina untuk menganalisis aliran dana. Jumlah yang meningkat mewakili aliran masuk modal dan kesinambungan trend, sementara jumlah yang menurun menunjukkan aliran keluar modal dan pembalikan trend.
Untuk mengukur kualiti trend, indeks turun naik dibina dari julat harga purata, dan EMAnya mengukur kekuatan trend. Ini membantu menapis trend palsu.
Akhirnya, perbezaan antara harga dan RSI juga mungkin menunjukkan pembalikan trend yang akan datang.
Dengan menggabungkan semua isyarat ini, trend boleh dikenal pasti dengan lebih tepat. Strategi akan pergi lama apabila persilangan emas antara MA muncul, dan pergi pendek apabila persilangan mati berlaku.
Pengurusan Risiko:
Strategi ini boleh ditingkatkan dalam aspek berikut:
Gunakan pembelajaran mesin untuk menyesuaikan parameter automatik untuk produk yang berbeza
Tambah penilaian model untuk menyesuaikan berat indikator secara dinamik berdasarkan keadaan pasaran
Melaksanakan stop loss bersesuaian berdasarkan turun naik pasaran
Menggabungkan pembelajaran mendalam untuk ramalan trend yang lebih tepat
Membina penyelarasan isyarat automatik untuk menyelesaikan konflik dan mengurangkan isyarat palsu
Mengintegrasikan lebih banyak penunjuk untuk ramalan sistem ensemble
Meneroka penunjuk tanpa parameter untuk mengurangkan pergantungan parameter
Strategi ini memanfaatkan pelbagai penunjuk teknikal untuk mencapai pengenalan trend yang agak kukuh, dengan potensi aplikasi yang menjanjikan. Walau bagaimanapun, ketepatan dan pengurusan risiko memerlukan penambahbaikan berterusan sebelum perdagangan langsung yang stabil. Pengoptimuman masa depan mungkin menggabungkan pembelajaran mesin dan teknik lain untuk membolehkan automasi pintar.
/*backtest start: 2022-09-21 00:00:00 end: 2023-09-27 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=3 //Market Cipher Update 2 - updated 8th Oct 2019 //Momentum Curves with green and red dots strategy(title="MarketCipher B", shorttitle="MarketCipher B") n1 = input(9, "Channel Length") n2 = input(12, "Average Length") obLevel1 = input(60, "Over Bought Level 1") obLevel2 = input(53, "Over Bought Level 2") osLevel1 = input(-60, "Over Sold Level 1") osLevel2 = input(-53, "Over Sold Level 2") osLevel3 = input(-100, "Over Sold Level 2") ap = hlc3 esa = ema(ap, n1) d = ema(abs(ap - esa), n1) ci = (ap - esa) / (0.015 * d) tci = ema(ci, n2) wt1 = tci wt2 = sma(wt1,3) plot(0, color=gray, title="Zero Line") plot(obLevel1, color=red, style=3, title="Bottom") plot(osLevel1, color=green, style=3, title="Top") plot(wt1, color=#BFE4FF, style=4, title= "Lt Blue Wave") plot(wt2, color=#673ab7, style=4, title="Blue Wave", transp=40) plot(wt1-wt2, color=yellow, style=4, transp=40, title="wave1-wave2") //green dots and crosses plotshape(crossover(wt1, wt2) and osLevel1 ? wt2 : na, title="Pos Crossover", location=location.absolute, style=shape.cross, size=size.tiny, color=#3FFF00, transp=20) plotshape(crossover(wt2, wt1) and osLevel1 ? wt1 : na, title="Neg Crossover", location=location.absolute, style=shape.cross, size=size.tiny, color=red, transp=20) plotshape(crossover(wt1, wt2) and wt2 < -59 ? wt2 : na, title="Pos Crossover", location=location.bottom, style=shape.circle, size=size.tiny, color=#3FFF00, transp=20) plotshape(crossover(wt2, wt1) and wt1 > 59 ? wt2 : na, title="Neg Crossover", location=location.top, style=shape.circle, size=size.tiny, color=red, transp=20) buy= crossover(wt1,wt2) // Define our buy/sell conditions, using pine inbuilt functions. sell= crossover(wt2,wt1) ordersize=floor(strategy.equity/close) // To dynamically calculate the order size as the account equity increases or decreases. strategy.entry("long",strategy.long,ordersize,when=buy) // Buys when buy condition met strategy.close("long", when = sell ) // Closes position when sell condition met strategy.entry("short",strategy.short,ordersize,when=sell) strategy.close("short",when = buy ) //soch RSI with divergences smoothKw = input(3, minval=1) smoothDw = input(3, minval=1) lengthRSIw = input(14, minval=1) lengthStochw = input(14, minval=1) uselogw = input(true, title="Log") srcInw = input(close, title="Source") showdivsw = input(true, title="Show Divergences") showhiddenw = input(false, title="Show Hidden Divergences") showchanw = input(false, title="Show Divergences Channel") srcw = uselogw ? log(srcInw) : srcInw rsi1w = rsi(srcw, lengthRSIw) kkw = sma(stoch(rsi1w, rsi1w, rsi1w, lengthStochw), smoothKw) dw = sma(kkw, smoothDw) hmw = input(false, title="Use Average of both K & D") kw = hmw ? avg(kkw, dw) : kkw aw = plot(kkw, color=blue, linewidth=1, transp=0, title="K") bw = plot(dw, color=orange, linewidth=1, transp=0, title="D") fw = kkw >= dw ? blue : orange fill(aw, bw, title="KD Fill", color=white) //------------------------------ //@RicardoSantos' Divergence Script f_top_fractal(_src)=>_src[4] < _src[2] and _src[3] < _src[2] and _src[2] > _src[1] and _src[2] > _src[0] f_bot_fractal(_src)=>_src[4] > _src[2] and _src[3] > _src[2] and _src[2] < _src[1] and _src[2] < _src[0] f_fractalize(_src)=>f_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -1 : 0 //------------------------- fractal_top = f_fractalize(kw) > 0 ? kw[2] : na fractal_bot = f_fractalize(kw) < 0 ? kw[2] : na high_prev = valuewhen(fractal_top, kw[2], 0)[2] high_price = valuewhen(fractal_top, high[2], 0)[2] low_prev = valuewhen(fractal_bot, kw[2], 0)[2] low_price = valuewhen(fractal_bot, low[2], 0)[2] regular_bearish_diva = fractal_top and high[2] > high_price and kw[2] < high_prev hidden_bearish_diva = fractal_top and high[2] < high_price and kw[2] > high_prev regular_bullish_diva = fractal_bot and low[2] < low_price and kw[2] > low_prev hidden_bullish_diva = fractal_bot and low[2] > low_price and kw[2] < low_prev //------------------------- plot(showchanw?fractal_top:na, title="Top Div Channel", offset=-2, color=gray) plot(showchanw?fractal_bot:na, title="Bottom Div Channel", offset=-2, color=gray) col1 = regular_bearish_diva ? red : hidden_bearish_diva and showhiddenw ? red : na col2 = regular_bullish_diva ? green : hidden_bullish_diva and showhiddenw ? green : na col3 = regular_bearish_diva ? red : hidden_bearish_diva and showhiddenw ? red : showchanw ? gray : na col4 = regular_bullish_diva ? green : hidden_bullish_diva and showhiddenw ? green : showchanw ? gray : na plot(title='H F', series=showdivsw and fractal_top ? kw[2] : na, color=col1, linewidth=2, offset=-2) plot(title='L F', series=showdivsw and fractal_bot ? kw[2] : na, color=col2, linewidth=2, offset=-2) plot(title='H D', series=showdivsw and fractal_top ? kw[2] : na, style=circles, color=col3, linewidth=3, offset=-2) plot(title='L D', series=showdivsw and fractal_bot ? kw[2] : na, style=circles, color=col4, linewidth=3, offset=-2) plotshape(title='+RBD', series=showdivsw and regular_bearish_diva ? kw[2] : na, text='R', style=shape.labeldown, location=location.absolute, color=red, textcolor=white, offset=-2) plotshape(title='+HBD', series=showdivsw and hidden_bearish_diva and showhiddenw ? kw[2] : na, text='H', style=shape.labeldown, location=location.absolute, color=red, textcolor=white, offset=-2) plotshape(title='-RBD', series=showdivsw and regular_bullish_diva ? kw[2] : na, text='R', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2) plotshape(title='-HBD', series=showdivsw and hidden_bullish_diva and showhiddenw ? kw[2] : na, text='H', style=shape.labelup, location=location.absolute, color=green, textcolor=white, offset=-2) //money flow colorRed = #ff0000 colorGreen = #03ff00 ma(matype, src, length) => if matype == "RMA" rma(src, length) else if matype == "SMA" sma(src, length) else if matype == "EMA" ema(src, length) else if matype == "WMA" wma(src, length) else if matype == "VWMA" vwma(src, length) else src rsiMFIperiod = input(60, "RSI+MFI Period") rsiMFIMultiplier = input(190, "RSI+MFI Area multiplier") MFRSIMA = input(defval="SMA", title="MFRSIMA", options=["RMA", "SMA", "EMA", "WMA", "VWMA"]) candleValue = (close - open) / (high - low) MVC = ma(MFRSIMA, candleValue, rsiMFIperiod) color_area = MVC > 0 ? green : red RSIMFIplot = plot(MVC * rsiMFIMultiplier, title="RSI+MFI Area", color=color_area, transp=35) fill(RSIMFIplot, plot(0), color_area, transp=50) //rsi //Bullish Divergence (green triangle) //Hidden Bullish Divergence (green circle) //Bearish Divergence (red triangle) //Hidden Bearish Divergence (red circle) lend = 14 bearish_div_rsi = input(60, "Min Bearish RSI", minval=50, maxval=100) bullish_div_rsi = input(40, "Max Bullish RSI", minval=0, maxval=50) // RSI code rsi = rsi(close, lend) plot(rsi, color=#6DFFE1, linewidth=2, transp=0, title="RSI") // DIVS code xbars = 60 hb = abs(highestbars(rsi, xbars)) // Finds bar with highest value in last X bars lb = abs(lowestbars(rsi, xbars)) // Finds bar with lowest value in last X bars // Defining variable values, mandatory in Pine 3 max = na max_rsi = na min = na min_rsi = na bearish_div = na bullish_div = na hidden_bearish_div = na hidden_bullish_div = na div_alert = na hidden_div_alert = na // If bar with lowest / highest is current bar, use it's value max := hb == 0 ? close : na(max[1]) ? close : max[1] max_rsi := hb == 0 ? rsi : na(max_rsi[1]) ? rsi : max_rsi[1] min := lb == 0 ? close : na(min[1]) ? close : min[1] min_rsi := lb == 0 ? rsi : na(min_rsi[1]) ? rsi : min_rsi[1] // Compare high of current bar being examined with previous bar's high // If curr bar high is higher than the max bar high in the lookback window range if close > max // we have a new high max := close // change variable "max" to use current bar's high value if rsi > max_rsi // we have a new high max_rsi := rsi // change variable "max_rsi" to use current bar's RSI value if close < min // we have a new low min := close // change variable "min" to use current bar's low value if rsi < min_rsi // we have a new low min_rsi := rsi // change variable "min_rsi" to use current bar's RSI value // Detects divergences between price and indicator with 1 candle delay so it filters out repeating divergences if (max[1] > max[2]) and (rsi[1] < max_rsi) and (rsi <= rsi[1]) and (rsi[1] >= bearish_div_rsi) bearish_div := true div_alert := true if (min[1] < min[2]) and (rsi[1] > min_rsi) and (rsi >= rsi[1]) and (rsi[1] <= bullish_div_rsi) bullish_div := true div_alert := true // Hidden divergences if (max[1] < max[2]) and (rsi[1] < max_rsi) hidden_bearish_div := true hidden_div_alert := true if (min[1] > min[2]) and (rsi[1] > min_rsi) hidden_bullish_div := true hidden_div_alert := true // Alerts alertcondition(div_alert, title='RSI Divergence', message='RSI Divergence') alertcondition(hidden_div_alert, title='Hidden RSI Divergence', message='Hidden RSI Divergence') // Plots divergences with offest plotshape((bearish_div ? rsi[1] + 3 : na), location=location.absolute, style=shape.diamond, color=#ff0000, size=size.tiny, transp=0, offset=0, title="RSI Bear Div") plotshape((bullish_div ? rsi[1] - 3 : na), location=location.absolute, style=shape.diamond, color=#00ff01, size=size.tiny, transp=0, offset=0, title="RSI Bull Div") plotshape((hidden_bearish_div ? rsi[1] + 3 : na), location=location.absolute, style=shape.circle, color=#ff0000, size=size.tiny, transp=0, offset=0, title="RSI Bear hDiv") plotshape((hidden_bullish_div ? rsi[1] - 3 : na), location=location.absolute, style=shape.circle, color=#00ff01, size=size.tiny, transp=0, offset=0, title="RSI Bull hDiv") //wave divergences WTCross = cross(wt1, wt2) WTCrossUp = wt2 - wt1 <= 0 WTCrossDown = wt2 - wt1 >= 0 WTFractal_top = f_fractalize(wt1) > 0 and wt1[2] ? wt1[2] : na WTFractal_bot = f_fractalize(wt1) < 0 and wt1[2] ? wt1[2] : na WTHigh_prev = valuewhen(WTFractal_top, wt1[2], 0)[2] WTHigh_price = valuewhen(WTFractal_top, high[2], 0)[2] WTLow_prev = valuewhen(WTFractal_bot, wt1, 0)[2] WTLow_price = valuewhen(WTFractal_bot, low[2], 0)[2] WTRegular_bearish_div = WTFractal_top and high[2] > WTHigh_price and wt1[2] < WTHigh_prev WTRegular_bullish_div = WTFractal_bot and low[2] < WTLow_price and wt1[2] > WTLow_prev bearWTSignal = WTRegular_bearish_div and WTCrossDown bullWTSignal = WTRegular_bullish_div and WTCrossUp WTCol1 = bearWTSignal ? #ff0000 : na WTCol2 = bullWTSignal ? #00FF00EB : na plot(series = WTFractal_top ? wt1[2] : na, title='Bearish Divergence', color=WTCol1, linewidth=5, transp=60) plot(series = WTFractal_bot ? wt1[2] : na, title='Bullish Divergence', color=WTCol2, linewidth=5, transp=60) //2nd wave WTFractal_topa = f_fractalize(wt2) > 0 and wt2[2] ? wt2[2] : na WTFractal_bota = f_fractalize(wt2) < 0 and wt2[2] ? wt2[2] : na WTHigh_preva = valuewhen(WTFractal_topa, wt2[2], 0)[2] WTHigh_pricea = valuewhen(WTFractal_topa, high[2], 0)[2] WTLow_preva = valuewhen(WTFractal_bota, wt2, 0)[2] WTLow_pricea = valuewhen(WTFractal_bota, low[2], 0)[2] WTRegular_bearish_diva = WTFractal_topa and high[2] > WTHigh_pricea and wt2[2] < WTHigh_preva WTRegular_bullish_diva = WTFractal_bota and low[2] < WTLow_pricea and wt2[2] > WTLow_preva bearWTSignala = WTRegular_bearish_diva and WTCrossDown bullWTSignala = WTRegular_bullish_diva and WTCrossUp WTCol1a = bearWTSignala ? #ff0000 : na WTCol2a = bullWTSignala ? #00FF00EB : na plot(series = WTFractal_topa ? wt2[2] : na, title='Bearish Divergence', color=WTCol1a, linewidth=5, transp=60) plot(series = WTFractal_bota ? wt2[2] : na, title='Bullish Divergence', color=WTCol2a, linewidth=5, transp=60)