Strategi ini menggabungkan indikator Ichimoku Cloud untuk mengukur sentimen pasar dan mengidentifikasi peluang breakout potensial.
Ada dua komponen inti - sinyal Ichimoku Cloud untuk menentukan momentum bullish/bearish dan sinyal kekuatan burst untuk menangkap potensi breakout.
Sinyal tren membutuhkan Garis Konversi untuk melintasi di atas Garis Dasar untuk menandakan tren naik, Lagging Span di atas garis harga yang menunjukkan momentum yang kuat, dan harga yang melanggar band atas Ichimoku Cloud.
Sinyal ledakan kekuatan untuk peluang masuk tambahan mengharuskan harga menembus titik terendah dan tertinggi terbaru Cloud
Entri panjang dipicu ketika salah satu sinyal menyala. Exit akan mengikuti berhenti berdasarkan aturan ATR, persentase, atau Ichimoku untuk mengunci keuntungan.
Keuntungan terbesar berasal dari menggunakan Ichimoku Cloud untuk analisis tren dan momentum, membuat sinyal lebih akurat daripada indikator tunggal seperti moving average.
Pengelolaan risiko dari ATR / persentase trailing stop juga menjaga kerugian per perdagangan kecil. mengambil keuntungan opsional lebih meningkatkan konsistensi imbalan.
Ichimoku Cloud memiliki beberapa masalah yang tertinggal.
Untuk mengatasi risiko keterlambatan, mengoptimalkan pengaturan Cloud lebih cepat.
Peningkatan yang mungkin dilakukan meliputi:
Uji pada data pasar yang lebih kuat.
Mengoptimalkan parameter Cloud untuk instrumen tertentu.
Cobalah ML seperti LSTM untuk nilai sinyal yang lebih baik.
Tambahkan analisis volume untuk menghindari perangkap.
Sistem Ichimoku ini secara efektif mengukur sentimen pasar untuk perdagangan tren. Fokus yang seimbang pada menangkap momentum dan mengelola risiko juga membuatnya praktis. Ada ruang untuk perbaikan tetapi secara keseluruhan kerangka kerja tren yang solid.
/*backtest start: 2024-01-04 00:00:00 end: 2024-02-03 00:00:00 period: 3h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © mikul_se //@version=5 strategy("mikul's Ichimoku Cloud Strategy v 2.0", shorttitle="mikul's Ichi strat", overlay=true, margin_long=100, margin_short=100, default_qty_type = strategy.percent_of_equity, default_qty_value = 100) // Strategy settings strategySettingsGroup = "Strategy settings" trailSource = input.string(title="Trail Source", defval="Lows/Highs", options=["Lows/Highs", "Close", "Open"], confirm=true, group=strategySettingsGroup) trailMethod = input.string(title="Trail Method", defval="ATR", options=["ATR", "Percent", "Ichi exit"], confirm=true, tooltip="Ichi rules means it follows the rules of the Ichimoku cloud for exiting the trade.", group=strategySettingsGroup) trailPercent = input.float(title="Trail Percent", defval=10, minval=0.1, confirm=true, group=strategySettingsGroup) swingLookback = input.int(title="Lookback", defval=7, confirm=true, group=strategySettingsGroup) atrPeriod = input.int(title="ATR Period", defval=14, confirm=true, group=strategySettingsGroup) atrMultiplier = input.float(title="ATR Multiplier", defval=1.0, confirm=true, group=strategySettingsGroup) addIchiExit = input.bool(false, "Add Ichimoku exit", "You can use this to add Ichimoku cloud exit signals on top of Percent or ATR", group=strategySettingsGroup) useTakeProfit = input.bool(false, "Use Take Profit", confirm=true, group=strategySettingsGroup) takeProfitPercent = input.float(title="Take Profit Percentage", defval=5, minval=0.1, confirm=true, group=strategySettingsGroup) // Ichimoku settings ichimokuSettingsGroup = "Ichimoku settings" conversionPeriods = input.int(9, minval=1, title="Conversion Line Length", group=ichimokuSettingsGroup) basePeriods = input.int(26, minval=1, title="Base Line Length", group=ichimokuSettingsGroup) laggingSpan2Periods = input.int(52, minval=1, title="Leading Span B Length", group=ichimokuSettingsGroup) displacement = input.int(26, minval=1, title="Lagging Span", group=ichimokuSettingsGroup) delta = input.int(26, minval=1, title="Delta", group=ichimokuSettingsGroup) donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) conversionLine = donchian(conversionPeriods) baseLine = donchian(basePeriods) leadLine1 = math.avg(conversionLine, baseLine) leadLine2 = donchian(laggingSpan2Periods) uppercloud = leadLine1[displacement-1] bottomcloud = leadLine2[displacement-1] // Ichi exit variables and calculations delta2 = delta-3 average(len) => math.avg(ta.lowest(len), ta.highest(len)) conversion_line = average(conversionPeriods) base_line = average(basePeriods) lead_line_a = math.avg(conversion_line, base_line) lead_line_b = average(laggingSpan2Periods) lagging_span = close lead_line_a_delta = lead_line_a[delta] lead_line_b_delta = lead_line_b[delta] lagging_span_delta = lagging_span[delta] prisgris = hlc3[delta] prisgris2 = hlc3[delta2] // Declare trailing price variable (stores our trail stop value) var float trailPrice = na float next_trailPrice = na // Get required trailing stop variables atrValue = ta.atr(atrPeriod) * atrMultiplier swingLow = ta.lowest(low, swingLookback) swingHigh = ta.highest(high, swingLookback) // Ichi plotting plot(conversionLine, color=#2962FF, title="Conversion Line") plot(baseLine, color=#B71C1C, title="Base Line") plot(close, offset=-displacement + 1, color=#43A047, title="Lagging Span") p1 = plot(leadLine1, offset=displacement - 1, color=#A5D6A7, title="Leading Span A") p2 = plot(leadLine2, offset=displacement - 1, color=#EF9A9A, title="Leading Span B") fill(p1, p2, color=leadLine1 > leadLine2 ? color.rgb(67, 160, 71, 90) : color.rgb(244, 67, 54, 90)) // Plotting ichi crossover signals ichiup = ta.crossover(conversionLine, baseLine) ichidown = ta.crossover(baseLine, conversionLine) plotshape(ichiup ? conversionLine : na, 'Ichi long 1', style=shape.circle, location=location.absolute, offset=0, color=#00ff00b0, size=size.tiny) plotshape(ichidown ? conversionLine : na, 'Ichi short 1', style=shape.circle, location=location.absolute, offset=0, color=#ff1100c7, size=size.tiny) // Pamp signal signal5 = close > bottomcloud[displacement] and close > uppercloud[displacement] and close > high[displacement] signal5b = close[1] <= bottomcloud[displacement+1] or close[1] <= uppercloud[displacement+1] or close <= high[displacement+1] signal6 = close > bottomcloud and close > uppercloud and close > open signal6b = close[1] <= bottomcloud[1] or close[1] <= uppercloud[1] signal7 = leadLine1 > leadLine2 signal7b = leadLine1[1] <= leadLine2[1] signal8 = conversionLine > baseLine pamp = signal5 and signal6 and signal7 and signal8 and strategy.position_size == 0 and (signal5b or signal6b or signal7b) // Trend signal nsignal5 = close > close[displacement] nsignal6 = close > bottomcloud and close > uppercloud and close > open nsignal8 = ta.crossover(conversionLine, baseLine) and conversionLine > bottomcloud and conversionLine > uppercloud and baseLine > bottomcloud and baseLine > uppercloud trend = nsignal5 and nsignal6 and nsignal8 and strategy.position_size == 0 plotshape(trend, style=shape.triangleup, location=location.belowbar, color=color.green) if (trend or pamp) trailPrice := na strategy.entry(trend ? "Trend" : "Pamp", direction = strategy.long) // Get trailing stop price if trailMethod == "ATR" next_trailPrice := switch trailSource "Close" => strategy.position_size > 0 ? close - atrValue : close + atrValue "Open" => strategy.position_size > 0 ? open - atrValue : open + atrValue => strategy.position_size > 0 ? swingLow - atrValue : swingHigh + atrValue else if trailMethod == "Percent" float percentMulti = strategy.position_size > 0 ? (100 - trailPercent) / 100 : (100 + trailPercent) / 100 next_trailPrice := switch trailSource "Close" => close * percentMulti "Open" => open * percentMulti => strategy.position_size > 0 ? swingLow * percentMulti : swingHigh * percentMulti else short_signal = (ta.crossunder(lagging_span, prisgris)) or ta.crossover(base_line, conversion_line) and ((close)) < ((lead_line_a)) or ta.crossunder(lagging_span, prisgris) or (ta.crossover(base_line, conversion_line) and ((lagging_span) < (lead_line_a)) and ((lagging_span) < (lead_line_b))) if short_signal strategy.close("Trend", "Ichi trend over") strategy.close("Pamp", "Ichi pamp over") alert("Sell") if (addIchiExit) short_signal = (ta.crossunder(lagging_span, prisgris)) or ta.crossover(base_line, conversion_line) and ((close)) < ((lead_line_a)) or ta.crossunder(lagging_span, prisgris) or (ta.crossover(base_line, conversion_line) and ((lagging_span) < (lead_line_a)) and ((lagging_span) < (lead_line_b))) if short_signal strategy.close("Trend", "Ichi trend over") strategy.close("Pamp", "Ichi pamp over") alert("Sell") // Check for trailing stop update if strategy.position_size != 0 and barstate.isconfirmed if (next_trailPrice > trailPrice or na(trailPrice)) and strategy.position_size > 0 trailPrice := next_trailPrice alert(message="Trailing Stop updated for " + syminfo.tickerid + ": " + str.tostring(trailPrice, "#.#####"), freq=alert.freq_once_per_bar_close) if (next_trailPrice < trailPrice or na(trailPrice)) and strategy.position_size < 0 trailPrice := next_trailPrice alert(message="Trailing Stop updated for " + syminfo.tickerid + ": " + str.tostring(trailPrice, "#.#####"), freq=alert.freq_once_per_bar_close) // Draw data to chart plot(strategy.position_size != 0 ? trailPrice : na, color=color.red, title="Trailing Stop") // Take Profit float profitTarget = strategy.position_avg_price * (1 + takeProfitPercent / 100) // Exit trade if stop is hit strategy.exit(id="trend Exit", from_entry="Trend", stop=trailPrice, limit=useTakeProfit ? profitTarget : na) strategy.exit(id="pamp Exit", from_entry="Pamp", stop=trailPrice, limit=useTakeProfit ? profitTarget : na) if strategy.position_size == 0 trailPrice = 0