ابدأ الآن

نماذج فنيه

takeshi MNO_2Step_Screener_MOU_MOUB_KAKU//@version=5 indicator("MNO_2Step_Screener_MOU_MOUB_KAKU", overlay=true, max_labels_count=500, max_lines_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)", minval=1) emaMLen = input.int(13, "EMA Mid (13)", minval=1) emaLLen = input.int(26, "EMA Long (26)", minval=1) macdFast = input.int(12, "MACD Fast", minval=1) macdSlow = input.int(26, "MACD Slow", minval=1) macdSignal = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volDays = input.int(5, "Volume avg (days equivalent)", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (MOU-B/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Valid bars after break", minval=1) showEMA = input.bool(true, "Plot EMAs") showLabels = input.bool(true, "Show labels (猛/猛B/確)") showShapes = input.bool(true, "Show shapes (猛/猛B/確)") confirmOnClose = input.bool(true, "Signal only on bar close (recommended)") locChoice = input.string("Below", "Label location", options= ) lblLoc = locChoice == "Below" ? location.belowbar : location.abovebar // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2bars = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2bars // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdKakuOK = macdGCAboveZero // ========================= // Volume (days -> bars) // ========================= sec = timeframe.in_seconds(timeframe.period) barsPerDay = (sec > 0 and sec < 86400) ? math.round(86400 / sec) : 1 volLookbackBars = math.max(1, volDays * barsPerDay) volMA = ta.sma(volume, volLookbackBars) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = not na(volRatio) and volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = not na(volRatio) and volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (body > 0) and (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = not na(pullbackPct) and pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Signals (猛 / 猛B / 確) // ========================= mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou_breakout = baseTrendOK and ta.crossover(close, res ) and volumeStrongOK and macdKakuOK cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2bars cond4 = macdKakuOK cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdKakuOK and volumeStrongOK kaku = all8 and final3 // 確優先（同一足は確だけ出す） confirmed = confirmOnClose ? barstate.isconfirmed : true sigKAKU = kaku and confirmed sigMOU = mou_pullback and not kaku and confirmed sigMOUB = mou_breakout and not kaku and confirmed // ========================= // Visualization // ========================= if showLabels and sigMOU label.new(bar_index, low, "猛", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showLabels and sigMOUB label.new(bar_index, low, "猛B", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.black) if showLabels and sigKAKU label.new(bar_index, low, "確", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) plotshape(showShapes and sigMOU, title="MOU", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigMOUB, title="MOUB", style=shape.labelup, text="猛B", color=color.new(color.green, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigKAKU, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(sigMOU, title="MNO_MOU", message="MNO: 猛（押し目）") alertcondition(sigMOUB, title="MNO_MOU_BREAKOUT", message="MNO: 猛B（ブレイク）") alertcondition(sigKAKU, title="MNO_KAKU", message="MNO: 確（最終）") alertcondition(sigMOU or sigMOUB or sigKAKU, title="MNO_ALL", message="MNO: 猛/猛B/確 いずれか")
مؤشر Pine Script®
من ‎morishima0ut6b‎
just takesi TimeMNO_2Step_Strategy_MOU_KAKU (Publish-Clear)//@version=5 strategy("MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)", overlay=true, pyramiding=0, max_labels_count=500, max_lines_count=500, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)") emaMLen = input.int(13, "EMA Mid (13)") emaLLen = input.int(26, "EMA Long (26)") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volLookback = input.int(5, "Volume MA days", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1) // --- Breakout route (押し目なし初動ブレイク) --- useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)") breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1) bigBodyLookback = input.int(20, "Break candle body MA length", minval=5) bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1) requireCloseNearHigh = input.bool(true, "Break candle: close near high") closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0) allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead") // 表示 showEMA = input.bool(true, "Plot EMAs") showMouLabels = input.bool(true, "Show MOU/MOU-B labels") showKakuLabels = input.bool(true, "Show KAKU labels") showDebugTbl = input.bool(true, "Show debug table (last bar)") showStatusLbl = input.bool(true, "Show status label (last bar always)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // 必ず決済が起きる設定（投稿クリア用） // ========================= enableTPSL = input.bool(true, "Enable TP/SL") tpPct = input.float(2.0, "Take Profit (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め slPct = input.float(1.0, "Stop Loss (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め maxHoldBars = input.int(30, "Max bars in trade (force close)", minval=1) entryMode = input.string("MOU or KAKU", "Entry trigger", options= ) // ✅ 保険：トレード0件を避ける（投稿クリア用） // 1回でもクローズトレードができたら自動で沈黙 publishAssist = input.bool(true, "Publish Assist (safety entry if 0 trades)") // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2days = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Breakout route (押し目なし初動ブレイク) // ========================= breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0) bullBreak = close > open bodyMA = ta.sma(body, bigBodyLookback) bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false rng = math.max(high - low, syminfo.mintick) closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct) mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou = mou_pullback or mou_breakout // ========================= // KAKU (Strict): 8条件 + 最終三点 // ========================= cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2days cond4 = macdGCAboveZero cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdGCAboveZero and volumeStrongOK kaku = all8_strict and final3 // ========================= // Entry (strategy) // ========================= entrySignal = entryMode == "KAKU only" ? kaku : (mou or kaku) canEnter = strategy.position_size == 0 newEntryKaku = canEnter and kaku and entrySignal newEntryMouB = canEnter and (not kaku) and mou_breakout and entrySignal newEntryMou = canEnter and (not kaku) and mou_pullback and entrySignal // --- Publish Assist（保険エントリー） --- // 条件が厳しすぎて「トレード0件」だと投稿時に警告が出る。 // closedtradesが0の間だけ、軽いEMAクロスで1回だけ拾う（その後は沈黙）。 assistFast = ta.ema(close, 5) assistSlow = ta.ema(close, 20) assistEntry = publishAssist and strategy.closedtrades == 0 and canEnter and ta.crossover(assistFast, assistSlow) // 実エントリー if newEntryKaku or newEntryMouB or newEntryMou or assistEntry strategy.entry("LONG", strategy.long) // ラベル（視認） if showMouLabels and newEntryMou label.new(bar_index, low, "猛(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showMouLabels and newEntryMouB label.new(bar_index, low, "猛B(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showKakuLabels and newEntryKaku label.new(bar_index, low, "確(IN)", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) if assistEntry label.new(bar_index, low, "ASSIST(IN)", style=label.style_label_up, color=color.new(color.aqua, 0), textcolor=color.black) // ========================= // Exit (TP/SL + 強制クローズ) // ========================= inPos = strategy.position_size > 0 tpPx = inPos ? strategy.position_avg_price * (1.0 + tpPct/100.0) : na slPx = inPos ? strategy.position_avg_price * (1.0 - slPct/100.0) : na if enableTPSL strategy.exit("TP/SL", from_entry="LONG", limit=tpPx, stop=slPx) // 最大保有バーで強制決済（これが「レポート無し」回避の最後の保険） var int entryBar = na if strategy.position_size > 0 and strategy.position_size == 0 entryBar := bar_index if strategy.position_size == 0 entryBar := na forceClose = inPos and not na(entryBar) and (bar_index - entryBar >= maxHoldBars) if forceClose strategy.close("LONG") // ========================= // 利確/損切/強制クローズのラベル // ========================= closedThisBar = (strategy.position_size > 0) and (strategy.position_size == 0) avgPrev = strategy.position_avg_price tpPrev = avgPrev * (1.0 + tpPct/100.0) slPrev = avgPrev * (1.0 - slPct/100.0) hitTP = closedThisBar and high >= tpPrev hitSL = closedThisBar and low <= slPrev // 同一足TP/SL両方は厳密に判断できないので、表示は「TP優先」で簡略（投稿ギリギリ版） if hitTP label.new(bar_index, high, "利確", style=label.style_label_down, color=color.new(color.lime, 0), textcolor=color.black) else if hitSL label.new(bar_index, low, "損切", style=label.style_label_up, color=color.new(color.red, 0), textcolor=color.white) else if closedThisBar and forceClose label.new(bar_index, close, "時間決済", style=label.style_label_left, color=color.new(color.gray, 0), textcolor=color.white) // ========================= // Signals (猛/猛B/確) // ========================= plotshape(showMouLabels and mou_pullback and not kaku, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouLabels and mou_breakout and not kaku, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuLabels and kaku, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered") alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered") alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered") alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered") alertcondition(assistEntry, title="MNO_ASSIST_ENTRY", message="MNO: ASSIST ENTRY (publish safety)") // ========================= // Status label（最終足に必ず表示） // ========================= var label status = na if showStatusLbl and barstate.islast label.delete(status) statusTxt = "MNO RUNNING " + "ClosedTrades: " + str.tostring(strategy.closedtrades) + " " + "BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " + "MOU: " + (mou ? "YES" : "no") + " (猛=" + (mou_pullback ? "Y" : "n") + " / 猛B=" + (mou_breakout ? "Y" : "n") + ") " + "KAKU: " + (kaku ? "YES" : "no") + " " + "VolRatio: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " + "Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick)) + " " + "Pos: " + (inPos ? "IN" : "OUT") status := label.new(bar_index, high, statusTxt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) // ========================= // Debug table（最終足のみ） // ========================= var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60)) fRow(_name, _cond, _r) => bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80) tx = _cond ? "OK" : "NO" table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg) if showDebugTbl and barstate.islast table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0)) fRow("BaseTrend", baseTrendOK, 1) fRow("MOU Pullback", mou_pullback, 2) fRow("MOU Breakout", mou_breakout, 3) fRow("Break confirm", breakConfirm, 4) fRow("Break big body", bigBodyOK, 5) fRow("Break close high", closeNearHighOK, 6) fRow("Break vol strong", volumeStrongOK, 7) fRow("Break MACD", macdBreakOK, 8) fRow("KAKU all8", all8_strict, 9) fRow("KAKU final3", final3, 10) fRow("AssistEntry", assistEntry, 11) fRow("ClosedTrades>0", strategy.closedtrades > 0, 12)
استراتيجية Pine Script®
من ‎morishima0ut6b‎
Coinbase Institutional Flow Alpha1. 核心概念 (The Core Concept) 這不是一套傳統看圖形（如 RSI 或 MACD）的技術指標策略，而是一套基於**「籌碼面」與「市場微結構」的量化系統。 比特幣市場存在兩個平行世界：美國機構投資者（主要使用 Coinbase 美元對）與全球散戶**（主要使用 Binance USDT 對）。這套策略的核心邏輯在於捕捉這兩者之間的**「定價效率落差」**。 This is not a traditional technical analysis strategy based on lagging indicators like RSI or MACD. Instead, it is a quantitative system based on Order Flow and Market Microstructure. The Bitcoin market consists of two parallel worlds: US Institutional Investors (trading on Coinbase USD pairs) and Global Retail Investors (trading on Binance USDT pairs). The core logic of this strategy is to capture the pricing inefficiency gap between these two liquidity pools. 2. 運作原理 (How It Works) Smart Money 追蹤： 當機構開始大舉買入時，Coinbase 的價格往往會比 Binance 出現短暫且顯著的「溢價（Premium）」。這通常是行情的領先指標。 統計套利模型： 我們開發了一套獨家的演算法，24 小時監控這個溢價缺口的變化。只有當溢價偏離程度達到特定的**統計學異常值（Statistical Anomaly）**時，系統才會判定為「機構進場信號」並執行交易。 過濾雜訊： 我們只抓取真正由資金推動的大趨勢，過濾掉市場上 80% 的無效波動。 Smart Money Tracking: When institutions accumulate heavily, the price on Coinbase often trades at a significant "Premium" compared to Binance. This serves as a powerful leading indicator for price trends. Statistical Arbitrage Model: We utilize a proprietary algorithm that monitors this premium gap 24/7. Only when the gap deviation hits a specific Statistical Anomaly, does the system identify it as an "Institutional Entry Signal" and execute the trade. Noise Filtering: The strategy is designed to capture significant trends driven by real capital flow, effectively filtering out 80% of random market noise. 免責聲明 (Disclaimer) 補充說明： 以上策略不保證獲利，僅提供量化交易的想法與實驗數據參考。請注意，市場沒有聖杯，交易結果盈虧自負，本人不承擔任何因使用此策略而產生的資金損失。 Disclaimer: The above strategy does not guarantee profits and is provided solely for sharing quantitative ideas and experimental data. Please note that there is no "Holy Grail" in trading. You are solely responsible for your own PnL, and I assume no liability for any financial losses incurred.
استراتيجية Pine Script®
من ‎Mark-Li0203‎
Trend FilterTrend Filter Summary Trend Filter is a multi-factor trend-confidence indicator that produces a simple, actionable output: Direction (Up / Down / Ranging) and a normalized Confidence %. It is intended as a decision-support overlay to help traders quickly identify whether a market is trending or rangebound, and how strong that directional bias is. What it shows A single line in the on-chart table: Direction (Up / Down / Ranging). A Confidence % (0–100) that combines multiple normalized market signals into a single score. Optional notification row when a manually-selected reference timeframe does not match the chart timeframe. Alert conditions when direction changes to Up, Down, or Ranging. How the indicator works (concise, non-proprietary explanation) Trend Filter computes a weighted confidence score from several complementary components, each normalized to a 0–100 scale and combined into a single confidence value. The components and their roles are: EMA structure & spread (trend breadth) -Uses three EMAs (fast / mid / slow) computed at lengths that scale with the selected/reference timeframe. The EMA spread (fast vs slow) quantifies directional separation. HH/HL structure and streaks (price structure) -Counts higher highs/higher lows (and the reverse) across a scaled lookback to measure whether price structure is predominantly bullish, bearish or mixed. EMA slope (momentum of trend) -A robust slope approximation (smoothed) measures whether the short EMA is rising/falling relative to its own smoothed history. ADX / DMI (trend strength) -Uses a standard ADX-style component to capture directional persistence and dampen the confidence score when the ADX is weak. ATR (volatility context) -ATR expressed as a percentage of price helps detect abnormal volatility regimes which affect the validity of trend signals. Volume context -Simple volume vs a short SMA gives a participation signal that increases confidence when moves occur with higher volume. Each component is capped to avoid outsized influence. Components are scaled by a set of weights (configurable in code) and then combined. The final confidence is lightly smoothed before being used to determine direction and to feed alert conditions. Important implementation & safety design choices (why it’s not a simple mashup) Adaptive timeframe scaling: EMA lengths and lookbacks are proportionally scaled based on the chosen reference timeframe (Auto or manual). This preserves relative indicator behavior across 1-minute → Daily timeframes without manual retuning of each parameter. HH/HL structure plus streaks: Instead of relying solely on moving averages or ADX, the script explicitly measures price structure (HH/HL counts and streaks) and blends that with slope/ADX. This reduces false trending signals on noisy price action. Normalized, weighted combination with caps: Each component is normalized (0–100) and combined by predefined weights; cap thresholds prevent extreme component values from dominating the result. This is a design intended to produce interpretable confidence % rather than opaque binary outputs. History and loop safety: The code enforces a cap and protects loop lengths against available historical bars to avoid runtime errors and to ensure the script remains stable on short data series. Practical guardrails: The script includes notification behavior to highlight manual timeframe mismatches and avoids dynamic indexing patterns that can cause unreliable results on small bar histories. These design decisions — adaptive scaling, structural HH/HL scoring, capped normalization and explicit safety limits — are the elements that distinguish Trend Filter from simple, single-indicator overlays (EMA-only, ADX-only, etc.) and form the basis for why closed-source protection is reasonable for commercial/invite-only publication. User controls & recommended usage Reference Timeframe: Auto (uses chart TF) or choose a manual reference TF (1min → D). When manual TF is selected, the table shows a mismatch warning if the chart TF differs. Table placement & colors: Positioning and appearance of the on-chart table are configurable. Confidence thresholds: The indicator uses internal thresholds to mark high/medium/low confidence. Users can interpret the Confidence % relative to those ranges. Alerts: Built-in alerts fire only on direction changes (to Up, Down, or Ranging). Use alerts as a signal to review the chart rather than an instruction to trade automatically. How traders typically use it Add Trend Filter as an overlay to your chart. Confirm that the recommended reference timeframe is appropriate (Auto will adjust automatically). Use Direction and Confidence % together: high Confidence + Up (or Down) suggests staying with trend; Ranging suggests avoiding trend-following entries. Combine this filter with your entry/exit rules (price structure, support/resistance, or your preferred signal generator). Disclaimers & limitations This is a decision-support indicator, not an automated execution strategy. It does not place orders and does not provide P/L or backtesting statistics. Confidence % is an aggregated measure — treat it as context, not a guarantee. Results vary across symbols and timeframes; use appropriate position sizing and risk controls. The code intentionally includes history and loop safeguards; on very short histories the indicator may display conservative results.
مؤشر Pine Script®
من ‎T_I_M_E‎
ICT NY Midnight Range LevelsThis indicator plots key New York midnight reference levels used in ICT-style trading. Features: • New York Midnight Open (00:00 NY time) plotted as a red dotted horizontal line • Highest High and Lowest Low formed between 00:00–00:30 NY time • Automatic 50% midpoint of the midnight range • All levels extend to the right and remain visible throughout the trading day • Large right-side labels displaying level names and exact prices • Optimized for lower timeframes (30 minutes and below) Designed for traders who use New York session structure, midnight opens, and range-based entries for precision execution.
مؤشر Pine Script®
من ‎Ungem23‎
Bravo Backtest - Multi Timeframe Fair Value GapsBravo Backtest – Multi Timeframe Fair Value Gaps This indicator displays Fair Value Gaps (FVGs) across multiple timeframes, with a strong focus on clarity, structure, and non-repainting behavior. To reduce noise and keep charts clean, only Fair Value Gaps from your current chart timeframe and higher are shown. Lower-timeframe imbalances are intentionally filtered out. Key features: - Multi-timeframe Fair Value Gap detection - Wick-to-wick, three-candle FVG logic - Non-repainting: all FVGs are confirmed on candle close - Automatic removal of invalidated FVGs (close through the zone) - Adjustable lookback period to limit historical zones - Optional bullish / bearish filtering - Optional borders that inherit the FVG color - Clean, professional UI designed for real trading use This tool is built to support higher-timeframe context, execution clarity, and disciplined charting, making it suitable for both discretionary traders and structured trading models. Developed and verified by Bravo Backtest.
مؤشر Pine Script®
من ‎BravoBacktest‎
Auto Harmonic Patterns [Trader-Alex])This indicator is a sophisticated technical analysis tool designed to automate the identification of Harmonic Patterns across financial markets. By utilizing a multi-layered scanning engine, it detects valid geometric structures in price action, helping traders identify high-probability reversal zones (PRZ) with precision. Whether you are a scalper or a swing trader, this tool streamlines the complex process of measuring Fibonacci ratios, allowing you to focus on execution rather than manual drawing. Key Features Multi-Scale Scanning Engine: The indicator runs 5 independent scanning groups simultaneously. This allows it to detect patterns across different market distinct market cycles (micro-structures to macro-trends) within a single timeframe. Comprehensive Pattern Support: Automatically recognizes a wide range of classic and modern harmonic patterns, including: Gartley Bat & Alt Bat Butterfly Crab & Deep Crab Shark Cypher Predictive PRZ Technology (Potential Patterns): Unlike standard indicators that only show completed patterns, this tool projects "Potential Patterns" in real-time. It calculates the Potential Reversal Zone (PRZ) based on converging Fibonacci projections, giving you a clear visual of where the D-point (Entry) is likely to form before price arrives. Smart Filtering & Optimization: To maintain a clean chart, the indicator includes an intelligent filtering system. If multiple patterns are detected in the same area, it automatically evaluates the geometry and risk-to-reward ratio to display only the most optimal setup. Integrated Trade Management: For every valid pattern, the indicator automatically plots: Entry Level: The optimal completion point. Stop Loss (SL): Calculated based on invalidation structures. Take Profit (TP1 & TP2): Based on standard harmonic retracement targets. Visual Clarity: Distinguishes between Bullish (Green/Blue tones) and Bearish (Red/Orange tones) setups. Successful historical patterns and currently developing patterns are visually distinct for easy back-testing and live trading. Disclaimer This tool is for educational and informational purposes only. Trading financial markets involves risk. Past performance of harmonic patterns does not guarantee future results. Always use proper risk management. ------------------------------------------------------------------------------------- 此指標是一套高階的技術分析工具，專為自動化識別金融市場中的「諧波型態 (Harmonic Patterns)」而設計。透過多層次的掃描引擎，它能精準偵測價格行為中的幾何結構，協助交易者快速鎖定高勝率的潛在反轉區 (PRZ)。 無論您是短線交易者還是波段交易者，此工具都能簡化繁瑣的費波那契比例測量過程，讓您能專注於交易決策而非手動繪圖。 核心功能 多維度掃描引擎： 指標內建 5 組獨立的掃描運算邏輯，能夠同時運行。這意味著它能在單一圖表時間週期內，同時捕捉從小級別結構到大級別趨勢的各種型態。 支援多種經典型態： 自動識別市場上主流的諧波結構，包含： 加特利 (Gartley) 蝙蝠與變種蝙蝠 (Bat & Alt Bat) 蝴蝶 (Butterfly) 螃蟹與深海螃蟹 (Crab & Deep Crab) 鯊魚 (Shark) 賽福 (Cypher) 預測性 PRZ 技術 (潛在型態)： 不同於一般指標僅顯示「已完成」的歷史型態，本工具具備即時預測功能。它能根據費波那契數列的匯聚點，計算出潛在反轉區 (PRZ)，在價格到達前提前標示出預期的 D 點 (入場點)。 智能篩選與優化： 為了保持圖表整潔，指標內建智能過濾系統。當同一區域偵測到多個重疊型態時，系統會自動評估幾何結構與盈虧比，僅顯示條件最優異的一個交易機會。 整合式交易管理： 針對每一個有效型態，指標會自動計算並繪製： 入場價 (Entry)： 型態完成的最佳價位。 止損位 (SL)： 基於結構失效點的防守位置。 止盈位 (TP1 & TP2)： 基於諧波回撤比例的標準獲利目標。 視覺化清晰呈現： 清楚區分看漲 (綠/藍色系) 與看跌 (紅/橙色系) 架構。歷史勝率回測線圖與正在發展中的潛在型態均有不同的視覺樣式，方便用戶進行複盤與實盤操作。 免責聲明 本工具僅供教學與輔助分析使用。金融市場交易具有風險，諧波型態的歷史表現不代表未來獲利保證。請務必做好個人風險管理。
مؤشر Pine Script®
من ‎Trader-Alex‎
29
PFA_PahadiPFA Pahadi Indicator Market Structure through Swing Triangles What is the PFA Pahadi Indicator? The **PFA Pahadi Indicator** is a *price-structure visualization tool* that converts raw market movement into a series of **connected swing triangles**. By linking **Pivot Low → Pivot High → Pivot Low** and additionally connecting the **bases (Low → Low)**, the indicator visually resembles a *mountain (pahadi) range*—hence the name. It focuses purely on **market structure**, not prediction, helping traders and analysts understand how price is *actually climbing, resting, and declining* over time. Key Benefits • Clear Market Structure The indicator highlights **higher highs, higher lows, lower highs, and lower lows** in a clean, uncluttered way, making trend identification intuitive even on higher timeframes. • Noise Reduction By relying only on **confirmed pivots**, minor fluctuations are filtered out. This helps traders avoid reacting to short-term volatility and focus on meaningful swings. • Visual Trend Strength Assessment The *slope and shape* of the triangles reveal whether the trend is: * Expanding (strong trend) * Contracting (distribution / accumulation) * Flattening (range / base building) • Excellent for Positional & Swing Trading Works particularly well on **weekly and daily charts**, where price structure matters more than intraday noise. • No Repainting All lines are drawn only after pivot confirmation. Once plotted, the structure does **not change retroactively**, ensuring analytical integrity. • Complements Moving Averages & Volume When combined with long-term averages or volume trends, the PFA Pahadi Indicator helps identify: * Healthy pullbacks * Structural breakdowns * Failed rallies Practical Use-Cases • Trend Continuation Analysis Higher base lines (Low → Low) indicate sustained accumulation and trend continuation. • Structural Weakness Detection Flattening or declining bases despite new highs may indicate **distribution** or **trend exhaustion**. • Long-Term Support Mapping The connected bases often act as *dynamic structural support zones* rather than exact price levels. Limitations • Not a Timing Indicator The PFA Pahadi Indicator does **not provide entry or exit signals** on its own. It is a *context tool*, not a trigger. • Lag Due to Confirmation Because pivots require confirmation, the structure appears **after the move has occurred**. This is intentional for accuracy but unsuitable for scalping. • Sensitive to Pivot Length Settings Short pivot lengths may create too many triangles; longer lengths may miss smaller but tradable swings. • Works Best in Trending Markets In sideways or choppy conditions, the structure may appear flat and less informative. Disclaimer The PFA Pahadi Indicator is a market structure visualization tool and does not constitute investment advice, trading recommendations, or a guarantee of future performance. It is designed for educational and analytical purposes only. All market decisions should be taken in conjunction with other tools such as volume analysis, risk management rules, broader market context, and individual financial suitability. Past price structures do not ensure future outcomes. Users are advised to validate the indicator across multiple securities and timeframes before applying it in live trading. Philosophy Behind the Name Markets don’t move in straight lines. They climb, pause, retrace, and climb again—just like a pahadi path. This indicator simply helps you see that path clearly.
مؤشر Pine Script®
من ‎pfa_institute‎
Liquidity Pools Smart Entry + Multi-TF Targets + VWAPOverview This indicator is designed to help traders identify high-probability institutional-style entries using concepts from ICT (Inner Circle Trader) methodology. It combines liquidity pool detection, fair value gaps (FVG), swing levels, killzones, ATR-based targets, VWAP bias, and optional multi-timeframe analysis. The script provides visual trade signals and a green-light confirmation system to streamline decision-making and reduce overtrading. Key Features Market Structure Detects CHoCH (Change of Character) and BOS (Break of Structure). Marks bullish and bearish breaks with labels on the chart. Liquidity & Swings Highlights Swing High/Low liquidity zones (SSL/BSL). Shows horizontal swing lines for reference. Fair Value Gap (FVG) Detection Bullish and bearish gaps are plotted as shaded boxes. Identifies potential institutional entry zones. Killzones Highlights London and New York sessions. Helps align trades with high liquidity periods. VWAP Filter Plots the intraday VWAP. Optional VWAP bias filter ensures trades follow intraday institutional flow. Multi-Timeframe Confirmation Supports 5-minute entry confirmation. Shows SL/TP for both current TF and 5-min TF signals. ATR-Based Stops & Targets Entry signals automatically calculate SL (1.5 ATR) and TP (ATR x multiplier). Customizable ATR multiplier. Trade Light System Visual green/red/gray indicators: 🟢 Green: All bullish conditions aligned → LONG allowed. 🔴 Red: All bearish conditions aligned → SHORT allowed. ⚪ Gray: Wait → conditions not aligned. Inputs Input Description Show CHoCH/BOS Toggle structure labels on/off Show Killzones Toggle session backgrounds on/off Show Swing Liquidity Show SSL/BSL swing points Show Horizontal Lines Extend swing lines horizontally Show FVG Zones Show Fair Value Gaps Show VWAP Display intraday VWAP Swing Length Number of bars to calculate swing pivots ATR Target Multiplier Multiplies ATR for TP calculation Use HTF 200 EMA Filter Filter entries with higher timeframe trend Use RSI Filter Filter entries using RSI 14 Use Volume Filter Filter entries with high volume confirmation Use ATR Filter Filter entries based on ATR expansion Use VWAP Filter Only allow trades in VWAP direction How to Read the Chart Structure Labels BOS ↑ / BOS ↓: Breaks of structure showing trend direction. Swing Liquidity SSL (blue): Bullish swing low liquidity. BSL (red): Bearish swing high liquidity. FVG Zones Green boxes: Potential bullish liquidity gaps. Red boxes: Potential bearish liquidity gaps. Killzones Green background: London session. Blue background: New York session. VWAP Purple line: Intraday volume-weighted average price. Trade Lights 🟢 Green: All bullish conditions met — LONG ready. 🔴 Red: All bearish conditions met — SHORT ready. ⚪ Gray: Wait — conditions not aligned. Entry Labels Shows Entry price, SL, TP. Separate labels for current TF and 5-min confirmation. How to Use Step 1: Identify Market Bias Check HTF EMA: price above → bullish trend, below → bearish trend. Check VWAP (if enabled): trade in direction of VWAP for institutional alignment. Check Killzones: prefer entries during London or New York sessions. Step 2: Confirm Entry Conditions Wait for BOS / CHoCH to align with your trend. Look for FVG zone and SSL/BSL liquidity. Ensure RSI, ATR, Volume, VWAP filters (if enabled) all confirm. Green/red Trade Light should be active. Step 3: Place Trade Use Entry Label price as reference. SL: 1.5 ATR away. TP: ATR x multiplier away. Optional: check 5-min multi-TF confirmation label for additional confidence. Step 4: Manage Trade Follow ATR-based SL/TP. Move stop to break-even after partial target if desired. Only take trades when Trade Light is GREEN (LONG) or RED (SHORT). Best Practices Combine with volume profile or order block analysis for higher precision. Avoid trading outside killzones. Use multi-TF confirmation for safer entries. Adjust ATR multiplier according to market volatility.
مؤشر Pine Script®
من ‎garethwest1982‎
SmartMoney BOS Pro [Stansbooth] ## ✨ BOS + ICT RSI Indicator — Trade Like Smart Money ✨ The market doesn’t move randomly — it moves with **structure**, **liquidity**, and **institutional intent**. This indicator is built to help you see exactly that. Powered by **Break of Structure (BOS)** and advanced **ICT concepts**, this tool highlights when the market is truly shifting direction or continuing with strength — the same way **smart money** trades. To make every setup even stronger, a **smart RSI confirmation** is seamlessly integrated, helping you stay out of weak trades and focus only on **high-quality, high-probability opportunities**. ### 🔥 What Makes It Special? • Clear and accurate BOS signals • ICT-based market structure & liquidity insight • RSI confirmation to reduce false entries • Clean visuals — no clutter, no confusion • Designed for scalpers, intraday & swing traders 🎯 Who Is This For? If you’re tired of lagging indicators… If you want to understand **why** price moves… If you want to trade with confidence instead of guessing… This indicator is for you. 📊 Markets Supported: Forex • Crypto • Stocks • Indices Stop chasing price. Start trading ** structure, liquidity, and smart money**. 🚀 **See the market differently. Trade better.**
مؤشر Pine Script®
من ‎stans_booth‎
Context Bundle | VWAP / EMA / Session HighLow (v6) 📌 0DTE Context Bundle (v6) **VWAP • EMA Cloud • Session High/Low (NY / London / Asia) The **0DTE Context Bundle** is a *decision-making overlay*, not a signal spam indicator. It’s designed to help traders clearly see **value, trend, and liquidity levels** across **New York, London, and Asia sessions** — all in one clean, customizable tool. Built for **NQ, ES, Gold, and FX pairs**, with a focus on **5–15-minute execution charts**. --- ## 🔹 What This Indicator Shows ### ✅ VWAP + ATR Bands * Session VWAP (fair value) * ATR-based extension bands (1x / 2x) * Helps identify **overextension, mean reversion zones, and trend pullbacks** ### ✅ EMA 9 / 21 Cloud * Visual trend and momentum filter * Custom colors + opacity * Identifies **trend continuation vs chop** ### ✅ Session High / Low Levels * **New York RTH** * **London** * **Asia (midnight-safe)** * Optional previous session highs/lows * Adjustable line styles, widths, colors, and extensions ### ✅ Anchored VWAP (Optional) * Reset by: * Daily * NY session start * London session start * Asia session start * Useful for tracking **session-specific value shifts** --- ## 🔹 How Traders Use It This indicator is meant to answer: * *Are we trading at value or extension?* * *Is the market trending or rotating?* * *Where is liquidity likely sitting right now?* Common use cases: * Trend pullbacks into VWAP or EMA cloud * Reversal setups at session highs/lows * Session breakout + retest confirmation * Overnight context for London and Asia sessions --- ## 🔹 Customization & Flexibility Every component can be toggled and styled: * Colors, widths, line styles * Cloud up/down colors + opacity * Session visibility and extensions * VWAP band multipliers and ATR length Members can adapt it to **their own style**, market, and timeframe. --- ## ⚠️ Disclaimer This indicator is provided for **educational and informational purposes only**. It does **not** provide financial advice or trade signals. Always manage risk and confirm entries with your own strategy.
مؤشر Pine Script®
من ‎TradeswithB‎
Monday Tuesday Initial Balance and Range ProjectionsThis indicator is based on Stacey Burke’s definition of Initial Balance, where Monday and Tuesday together establish the Initial Balance for the trading week. The high and low formed across Monday and Tuesday define the Initial Balance. Once Tuesday closes, this range is locked in and used as a structural reference for the remainder of the week. What the Indicator Displays Initial Balance High (Monday–Tuesday high) Initial Balance Low (Monday–Tuesday low) Optional midpoint Optional range projections: 0.5 range extension to the upside/downside 1.0 range extension to the upside/downside These extensions are calculated using the Monday–Tuesday range, projected above the Initial Balance High. Why This Matters In a large percentage of weeks: The weekly high or low is established by Monday or Tuesday One side of the Initial Balance tends to hold, while the other may break and trend The range provides context for high-probability setups, not trade signals Price will typically: Reject the Initial Balance extremes (reversal / three-day setup) Break and hold outside the balance (trend week) Rotate within the balance (consolidation) How to Use It This tool is designed for context and structure, supporting: Three Day Setups First Green / First Red Days False breaks Weekly pump-and-dump / dump-and-pump scenarios Trade execution should still be aligned with session timing, 15-minute structure, price action confirmation, and news awareness.
مؤشر Pine Script®
من ‎const‎
SHAP-Aligned BUY Signal (Daily, Edge-Triggered)Based on the XGBoost + SHAP interpretation report, I'll explain which indicators to monitor for buying NVO. However, I must emphasize that this model performed poorly (47.5% accuracy) and should NOT be used for actual trading! That said, here's what the model learned (for educational purposes): 📊 Top Indicators to Monitor for BUY Signals 1. Days_Since_Low (Most Important - 1.264) Direction: BULLISH ↑ Interpretation: Higher values → UP prediction What to monitor: Track how many days since the stock hit its recent low Buy signal: When the stock has been recovering for an extended period (e.g., 100+ days from low) Why it matters: The model learned that stocks in long-term recovery tend to continue rising 2. SMA_50 (50-day Moving Average) (0.413) Direction: BULLISH ↑ Interpretation: Higher absolute SMA_50 values → UP prediction What to monitor: The 50-day simple moving average price level Buy signal: When SMA_50 is at higher levels (e.g., above $80-90) Why it matters: Higher moving averages indicate stronger long-term trends 3. SMA_200 (200-day Moving Average) (0.274) Direction: BULLISH ↑ Interpretation: Higher SMA_200 → UP prediction What to monitor: The 200-day simple moving average Buy signal: When SMA_200 is trending upward and at elevated levels Why it matters: Long-term trend indicator; golden cross (SMA_50 > SMA_200) is traditionally bullish 4. BB_Width (Bollinger Band Width) (0.199) Direction: BULLISH ↑ Interpretation: WIDER Bollinger Bands → UP prediction What to monitor: The distance between upper and lower Bollinger Bands Buy signal: When BB_Width is expanding (increasing volatility often precedes trend moves) Why it matters: Widening bands can signal the start of a new trend 5. Price_SMA_50_Ratio (0.158) Direction: BULLISH ↑ Interpretation: When price is ABOVE the 50-day MA → UP prediction What to monitor: Current price ÷ SMA_50 Buy signal: When ratio > 1.0 (price is above the 50-day average) Why it matters: Price above moving averages indicates uptrend 6. Momentum_21D (21-day Momentum) (0.152) Direction: BULLISH ↑ Interpretation: Positive 21-day momentum → UP prediction What to monitor: 21-day rate of change Buy signal: When momentum is positive and increasing Why it matters: Positive momentum suggests continuation 7. Stoch_K (Stochastic Oscillator) (0.142) Direction: BULLISH ↑ Interpretation: Higher Stochastic K → UP prediction What to monitor: Stochastic oscillator (0-100 scale) Buy signal: When Stoch_K is rising from oversold (<20) or in mid-range (40-60) Why it matters: Measures momentum and overbought/oversold conditions
مؤشر Pine Script®
من ‎yellowpierid‎
BRT Support MA [STRATEGY] v2BRT Support MA Strategy v2 - Dynamic Support Line Strategy 📊 Strategy Description BRT Support MA Strategy v2 is an automated trading strategy based on the analysis of dynamic support and resistance levels using volatility calculations on higher timeframes. The strategy is designed to identify key trend reversal moments and enter positions with optimal risk-to-reward ratios. 🎯 Key Features Unique strategy characteristics: 1. Multi-Timeframe Volatility Analysis - indicators are calculated on a user-selected timeframe, which allows filtering market noise and obtaining more reliable signals 2. Adaptive Hedging System - a unique algorithm for dynamic position volume calculation during reversals, which accounts for current drawdown and automatically adjusts order size for optimal risk management 3. Visual Trend Indication - dynamic color change of the main line (green = uptrend, red = downtrend) for quick assessment of current market conditions 4. Automatic Signal Markers - the strategy marks trend change moments on the chart with arrows for convenient analysis 5. Limit Orders - entries into positions occur via limit orders at key levels, ensuring better price execution ⚙️ Strategy Settings Support MA Length - calculation period for the main support/resistance line Support MA Timeframe - timeframe for indicator calculations (can be set higher than current for noise filtering) TP (%) - take profit percentage from entry point SL (%) - stop loss percentage from entry point Hedge Multiplier - volume multiplier for hedging positions during reversals 📈 Operating Logic The strategy analyzes the relationship between two dynamic levels calculated based on market volatility. When price breaks through the main support level in the direction of the trend: Long positions are opened when the main indicator is in an uptrend and price breaks above it Short positions are opened when the main indicator is in a downtrend and price breaks below it When there is an open position and an opposite signal forms, the strategy automatically calculates the optimal volume for a hedging position based on the percentage price movement and the set take profit. 🎨 Visual Elements Blue/Green/Red line - main dynamic support/resistance level (color changes depending on current trend) Green arrows down ▼ - uptrend reversal signals Red arrows up ▲ - downtrend reversal signals TP and SL - displayed in data window for current open position 💡 Usage Recommendations Test the strategy on historical data of different instruments before use Optimize parameters for the specific trading instrument and timeframe Configure TP/SL parameters according to your trading system and risk tolerance Hedge Multiplier controls hedging system aggressiveness - start with conservative values ⚠️ DISCLAIMER IMPORTANT! PLEASE READ BEFORE USE: This script is provided for educational and research purposes only . It is intended for testing on historical data and studying algorithmic trading approaches. The author is NOT responsible for: Any financial losses incurred as a result of using this strategy Trading results in real-time or on demo accounts Losses arising from incorrect parameter configuration Technical failures, slippage, and other market conditions Trading involves a high level of risk and is not suitable for all investors. You can lose all of your invested capital. Do not invest money you cannot afford to lose. Before starting real trading: Conduct thorough testing on historical data Ensure you fully understand the strategy's operating logic Consult with a financial advisor Consider broker commissions and slippage Start with minimum volumes Past performance does not guarantee future profitability. Use of the strategy is at your own risk. © MaxBRFZCO | Version 2.0 | Pine Script v5 For questions and suggestions, please use comments under the publication
استراتيجية Pine Script®
من ‎MaxBRFZCO‎