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MirrorPip RSI Funding strategyThis strategy aims at exploiting funding arbitrage between two coins that mimic each other price movement but the funding in them is in opposite direction. Example ETH funding is negative and ETC funding is positive, this strategy will strategically buy ETC and Short ETH when there is a RSI divergence across these 2 coins and smartly exit them when cumulative P/L turns out positive. The notional value on both coins has to be kept same. This is a funding pair strategy and can be fully automated with 5 crypto exchanges.
Strategi Pine Script®
oleh MirrorPip
1
Alpha Protocol v2 [High Precision] - Trend Following & Momentum Description: This strategy is designed for swing traders operating in the NSE (National Stock Exchange) or other high-volume equity markets. It utilizes a classic Trend Following approach filtered by institutional liquidity requirements and momentum confirmation. The Core Philosophy: The "Alpha Protocol" is built on the premise that the strongest moves occur when price action aligns with the primary trend, supported by volume and volatility contraction. It aims to capture the "meat" of the move while strictly limiting downside risk. Technical Architecture: Trend Filter: The strategy only takes long positions when the 50-DMA is above the 200-DMA, and the 200-DMA slope is positive (rising). Momentum triggers: RSI (14): Must be in the bullish zone (55-75) but not overheated. MACD: Requires a bullish crossover or positive histogram expansion. ADX: Must be > 20 to ensure we are not trading in a choppy/sideways market. Liquidity Filter: To ensure realistic execution, the script requires a minimum daily turnover (Price * Volume) of ₹5 Crores (configurable). Price Action: Entries are triggered on a breakout of the 20-day high, confirmed by a strong close in the upper 30% of the daily range. Risk Management (Hard Coded): Stop Loss: Placed at the recent 10-day Swing Low. Circuit Breaker: If the Swing Low is more than 5% away from the entry price, the trade is ignored (Capital Protection Rule). Profit Target: Dynamic 1:2 Risk-Reward Ratio. Instructions for Use: Timeframe: Daily (D) is recommended. Universe: Liquid Mid-caps and Large-caps (Nifty 500). Alerts: This script is alert-compatible. Use the "Alert() function calls" option to receive precise Entry, Stop, and Target prices on your device. Disclaimer: This script is for educational and backtesting purposes only. Past performance does not guarantee future results.
Strategi Pine Script®
oleh BhavyaSpeaks
Candlestick Pattern Strategy with Risk Management + AlertsThis strategy is built to detect volatility-driven squeeze expansion moves and automatically backtest both Breakout Longs and Breakdown Shorts with adjustable take-profit, stop-loss and volume confirmation filters. It includes a built-in Auto-Optimizer, allowing the script to test multiple TP/SL/RSI/Volume profiles and automatically select the best configuration for the current market environment. Works across Stocks, Crypto and Forex — with each market automatically adjusting core system parameters. 🚀 Strategy Features Feature Description 🔥 Long + Short Squeeze Detection Entries triggered by volatility expansion + BB break + strong momentum ⚙️ Auto-Optimizer Searches multiple TP/SL/RSI/Volume settings & selects best performer 📈 Full Backtest-Ready Strategy Includes stops, take profits + built-in performance table 🔔 Real-Time Alerts Get alerted instantly when a long or short squeeze event forms 🔄 Multi-Market Mode Tailored volatility & smoothing settings for Stocks / Crypto / Forex 🧠 Vol Spike Validation Filters signals using relative volume impulse 🏁 Trade Exit Logic Dynamic SL/TP calculated automatically based on optimized parameters 📊 How It Works Detects breakouts above upper Bollinger band or breakdowns below lower band Confirms strength using ATR expansion + Volume Surge Confirms momentum using RSI selection (9/14/20 based on profile) Enters Long/Short squeeze trade depending on breakout direction Risk management automatically deploys TP + SL, optimized or manual Displays performance statistics after backtest execution 🧬 Auto-Optimizer Logic If Optimizer Mode = ON, the script tests: Variable Range Tested TP % 8 → 15% SL % 4 → 8% Volume Spike Filter 1.5 → 3.0x RSI Window 9 / 14 / 20 The configuration that produces the highest score becomes active automatically for signals + backtest. 🛎 Alerts Included 🔥 Long Squeeze Alert 💀 Short Squeeze Alert You can create TradingView alerts using → Add Alert → ANY alert() function call Recommended Use ✔ Backtest system performance across assets ✔ Use Optimizer mode to find ideal TP/SL profiles ✔ Enable alerts for real-time squeeze entries ✔ Works best on 1h / 4h / 1D timeframes 🚫 Not financial advice — for research + strategy development only
Strategi Pine Script®
oleh Marketscannerpros
Advanced ORB Strategy v6 (Time-Based Fix)/Once the window closes, the market has drawn its first meaningful line in the sand. A break above the opening range high signals that early sellers are trapped and buyers are pressing. A break below the opening range low signals the opposite. Trades are only considered after price leaves the range and shows acceptance, not on the first tick outside. Risk is defined and limited by the range itself. Stops are placed back inside the opening range, which keeps losses small and predefined. Targets are based on objective market references such as overnight highs and lows, VWAP extensions, or prior session levels—not arbitrary profit goals. This strategy is not predictive. It does not try to forecast direction or call tops and bottoms. It responds to real order flow and liquidity behavior as it unfolds. When the market is trending, the strategy captures momentum early. When conditions are choppy or volatility is compressed, trades are filtered out or avoided entirely. The strength of this approach is its simplicity, repeatability, and risk control. One defined window. One defined range. Clear entry criteria. Clear exits. No overtrading.
Strategi Pine Script®
oleh FUKYOURPUTS
IDS - Institutional Dip Sniper在加密貨幣市場中，70% 的時間都處於震盪或回調。當大多數突破策略（Breakout Strategies）因為假突破而虧損時，IDS (Institutional Dip Sniper) 卻能從恐慌中獲利。 核心邏輯： 均值回歸 (Mean Reversion)： 我們不追高，我們專注於捕捉價格短期過度偏離均線的時刻（Oversold）。這是數學上勝率最高的交易方式之一。 機構安全氣囊： 並非所有的下跌都能接。本策略內建 Coinbase 機構資金濾網，只有在確認機構大戶仍在場內時，才會執行抄底，大幅降低「接到下跌趨勢」的風險。 極速進出： 持倉時間極短，捕捉反彈即離場，有效避開市場長期的不確定性。 適用環境： 牛市回調、震盪盤整（Monkey Market）。 In the crypto market, assets range or correct 70% of the time. While most trend-following/breakout strategies bleed out during these periods, IDS (Institutional Dip Sniper) thrives by capitalizing on short-term panic. Core Logic: Mean Reversion: We don't chase green candles. We mathematically identify moments when the price is statistically oversold. This approach historically offers a higher win rate than trend following. Institutional Safety Net: Not all dips are buyable. This system integrates a proprietary Coinbase Institutional Flow Filter. It only executes mean reversion trades when institutional accumulation is detected, preventing "catching a falling knife" in a bear trend. High Velocity: Short holding periods. The strategy captures the snap-back bounce and exits immediately, reducing exposure to market volatility. Ideal Conditions: Bull market pullbacks, Choppy/Ranging markets. 免責聲明 (Disclaimer) 補充說明： 以上策略績效源自歷史數據回測，不代表對未來獲利的保證。加密貨幣市場風險極高，本策略僅供量化研究與邏輯分享，使用者應自行評估風險並自負盈虧，本人不承擔任何交易損失。 Disclaimer: The performance above is based on historical backtesting and does not guarantee future results. Cryptocurrency trading involves high risk. This strategy is shared for quantitative research and educational purposes only. Users are solely responsible for their own risk assessment and PnL. I assume no liability for any trading losses incurred.
Strategi Pine Script®
oleh Mark-Li0203
UK Public Oneside V2This strategy combines RSI, Stochastic Oscillator, and a 50 EMA trend filter to identify moderate-risk trading opportunities in trending markets. How it works: Long entries occur when RSI and Stochastic are in oversold conditions while price is above the 50 EMA. Short entries occur when RSI and Stochastic are in overbought conditions while price is below the 50 EMA. Trades are confirmed on the previous candle, avoiding premature entries and exits. Risk management is handled using fixed percentage stop-loss with configurable risk-to-reward targets. Optional RSI-based exits close positions early during overbought or oversold conditions. Key Features: Trend-filtered entries using EMA 50 Non-repainting logic (confirmed candle signals) Configurable stop-loss and reward ratio Works well for scalping and intraday trading Suitable for crypto, forex, and indices Recommended Timeframes: 5m, 15m, 30m Note: This strategy is designed for educational and research purposes. Always forward-test and apply proper risk management before using in live trading.
Strategi Pine Script®
oleh ONESIDEZZ
Rule-Based Elliott Wave Strategy by xitaxutaStrategy Description This is a rule-based Elliott Wave–inspired trading strategy designed for lower timeframes (e.g., 1-minute). The strategy converts Elliott Wave concepts into objective, testable rules using swing pivots, Fibonacci retracements, and momentum confirmation. The core idea is to trade Wave-3 continuation moves after a valid Wave-1 impulse and Wave-2 corrective pullback have been identified. How it works Wave 1 Detection Identifies an impulsive move using pivot structure and a minimum ATR size filter to avoid noise. Wave 2 Validation Waits for a corrective structure (A–B–C–like behavior) and validates it using Fibonacci retracement rules (default ~38%–78%). Entry Logic Trades are triggered only on confirmation, not anticipation: Longs: break above corrective resistance (Wave B) Shorts: break below corrective support (Wave B) Risk Management Stops are placed at the true Wave-2 extreme, invalidating the Elliott count if hit. Position sizing is based on a fixed percentage of account risk. Targets Partial profits are taken at R-based levels, with optional continuation targets using Wave-3 Fibonacci extensions. Momentum Filter RSI is used as a confirmation filter to align momentum with the expected Wave-3 direction. Design Philosophy No subjective wave drawing No prediction of tops or bottoms Structure → confirmation → execution Focused on high-momentum continuation, not reversals This strategy is best suited for active intraday trading and performs optimally in markets with sufficient volatility. Important Notes Elliott Wave concepts are approximated using objective rules. The strategy waits for confirmation and may appear “late” by design. Results depend on market conditions, timeframe, and parameter selection.
Strategi Pine Script®
oleh xitaxuta
Opening Range Breakout & Targets [Strategy] (Fixed + Alerts)This strategy backtests a classic Opening Range Breakout approach using a configurable opening range window (time-based OR or custom session). Once the opening range is completed, the strategy waits for price to break above ORH (Opening Range High) or below ORL (Opening Range Low) and enters in the direction of the breakout. Targets are derived directly from the opening range width: OR Width = ORH − ORL Target Step = OR Width × Target % Take-profit is placed at the selected Target # (T1, T2, etc.) An optional Daily Bias filter can be enabled to reduce false breakouts by comparing today’s opening range midpoint (ORM) to the previous session’s ORM. When bias is active, breakouts against the bias can require a stronger confirmation (break beyond the first target step). Risk management is configurable via multiple stop options: Stop at Opposite OR Stop at OR Midpoint Stop at 1× Target Step Or disable stops for custom management Includes support for: Long/Short/Both modes One trade per session option Optional exit on opposite breakout Separate alert conditions (when used with the companion indicator) Note: This is a backtesting tool. Always validate results across symbols/timeframes and account for slippage/commissions before live use.
Strategi Pine Script®
oleh nirmaltrades
SaLaSaLa V6 5m By Aleem MubarakThis strategy uses RSI-MA, Multi-timeframe crossing of RSI, Multi-timeframe crossing of MA and the Crossing of RSI with MA itself on the baseline timeframe (5 minutes), while the alignment timeframes are 15m, 1hr, 4hr. It uses Bolinger Bands to filter out false breakouts and uses an adjustable step-wise trailing as the exit conditions, so for this reason the strategy has a trailing take profit. This strategy works best on 5 minutes timeframe for scalpers. You may find the backtesting result using the tester option on trading view. Just Integrate your broker on Trading View and make the strategy pick trades automatically and watch your investment grow. Credit to Lux Algo, Techno Bloom for their indicators which was used as vision during checks
Strategi Pine Script®
oleh rockie456
Trend Core Strategy v1.0 - GUMROADLog Regression Channel Pro Strategy This is a trend-following pullback strategy built for TradingView (Pine Script v6). It uses logarithmic regression channels to define the market’s primary trend, and looks for low-risk pullback entries within strong trending conditions. Momentum and trend strength filters are applied to avoid ranging or weak markets. This strategy is designed to be used when the market is clearly trending, not during choppy or sideways price action. Best Used When Strong uptrend or downtrend is present Price is pulling back toward the regression channel Volatility is sufficient (ADX confirms trend strength) Suitable for 1H / 4H timeframes Commonly used on BTC, ETH, and major crypto pairs Key Characteristics Non-repainting logic Volatility-based risk management (ATR) Designed for realistic backtesting No martingale, no grid, no over-optimization Gumroad Disclaimer (3 Lines) This strategy is provided for educational purposes only and is not financial advice. Trading involves risk, and losses may occur. You are fully responsible for your own trading decisions.
Strategi Pine Script®
oleh kahsang95
1
MNO_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)
Strategi Pine Script®
oleh morishima0ut6b
Ace Algo [Anson5129]🏆 Exclusive Indicator: Ace Algo 📈 Works for stocks, forex, crypto, indices 📈 Easy to use, real-time alerts, no repaint 📈 No grid, no martingale, no hedging 📈 One position at a time ---------------------------------------------------------------------------------------- Ace Algo A trend-following TradingView strategy using a confluence of technical indicators and time-based rules for structured long/short entries and exits: ---------------------------------------------------------------------------------------- Parameters Explanation Moving Average Length Indicates the number of historical data points used for the average price calculation. Shorter = volatile (short-term trends); longer = smoother (long-term trends, less noise). Default: 20 Entry delay in bars After a trade is closed, delay the next entry in bars. The lower the number, the more trades you will get. Default: 4 Take Profit delay in bars After a trade is opened, delay the take profit in bars. The lower the number, the more trades you will get. Default: 3 Enable ADX Filter No order will be placed when ADX < 20 Default: Uncheck Block Period Set a block period during which no trading will take place. ---------------------------------------------------------------------------------------- Entry Condition: Only Long when the price is above the moving average (Orange line). Only Short when the price is below the moving average (Orange line). * Also, with some hidden parameter that I set in the backend. Exit Condition: When getting profit: Trailing Stop Activates after a position has been open for a set number of bars (to avoid premature exits). When losing money: In a long position, when the price falls below the moving average, and the conditions for a short position are met, the long position will be closed, and the short position will be opened. In a short position, when the price rises above the moving average, and the conditions for a long position are met, the short position will be closed, and the long position will be opened. ---------------------------------------------------------------------------------------- How to get access to the strategy Read the author's instructions on the right to learn how to get access to the strategy.
Strategi Pine Script®
oleh anson5129
1
UK Public OnesideRSI + Stochastic V1 (Moderate) Strategy This strategy combines RSI, Stochastic Oscillator, and a 50 EMA trend filter to identify moderate-risk trading opportunities in trending markets. How it works: Long entries occur when RSI and Stochastic are in oversold conditions while price is above the 50 EMA. Short entries occur when RSI and Stochastic are in overbought conditions while price is below the 50 EMA. Trades are confirmed on the previous candle, avoiding premature entries and exits. Risk management is handled using fixed percentage stop-loss with configurable risk-to-reward targets. Optional RSI-based exits close positions early during overbought or oversold conditions. Key Features: Trend-filtered entries using EMA 50 Non-repainting logic (confirmed candle signals) Configurable stop-loss and reward ratio Works well for scalping and intraday trading Suitable for crypto, forex, and indices Recommended Timeframes: 5m, 15m, 30m Note: This strategy is designed for educational and research purposes. Always forward-test and apply proper risk management before using in live trading.
Strategi Pine Script®
oleh ONESIDEZZ
1
Follow the "Smart Money" to Capture Altcoin Super-Trends這不是一套普通的趨勢策略。大多數山寨幣 (Altcoins) 的突破策略之所以失效，是因為它們忽略了市場的真實驅動力——比特幣的機構資金流向。 ITAS (Institutional Triggered Alpha System) 是一套結合了「跨市場分析」與「波動率自適應」的量化系統。 核心運作邏輯： 機構資金濾網 (Institutional Filter)： 我們監控比特幣 (BTC) 在頂級合規交易所（如 Coinbase）與全球流動性池之間的資金溢價 (Premium)。這是一個領先指標，用來判斷華爾街機構是在「吸籌」還是「派發」。 精準狙擊 (Precision Trigger)： 只有當監測到**「機構資金正在買入 BTC」**的時刻，系統才會解鎖山寨幣的交易權限。 拒絕假突破 (False Breakout Rejection)： 透過這個濾網，我們能過濾掉市場中 80% 由散戶情緒引起的「假突破」。如果比特幣沒有機構支撐，就算山寨幣漲得再兇，本策略也會判定為雜訊而拒絕進場。 波動率適配 (Volatility Adaptation)： 針對高波動資產 (High Beta Assets) 優化的動態通道，確保在劇烈洗盤中能拿住單子，吃到完整的波段利潤。 This is not an ordinary trend-following strategy. Most Altcoin breakout strategies fail because they ignore the true driver of the market—Institutional Money Flow in Bitcoin. ITAS (Institutional Triggered Alpha System) is a quantitative system that combines "Inter-market Analysis" with "Volatility Adaptation." How It Works: Institutional Filter: We monitor the Premium Gap of Bitcoin (BTC) between top-tier regulated exchanges (like Coinbase) and global liquidity pools. This serves as a leading indicator to determine whether Wall Street institutions are "Accumulating" or "Distributing." Precision Trigger: The system only unlocks trading permissions for Altcoins when it detects "Institutional Buying in BTC." False Breakout Rejection: Through this filter, we effectively filter out 80% of "False Breakouts" driven solely by retail sentiment. If there is no institutional support behind Bitcoin, the strategy will identify any Altcoin pump as noise and refuse to enter. Volatility Adaptation: Features a dynamic channel optimized for High Beta Assets, ensuring positions are held through aggressive shakeouts to capture the full trend. 免責聲明 (Disclaimer) 補充說明： 以上策略績效源自歷史數據回測，不代表對未來獲利的保證。加密貨幣市場風險極高，本策略僅供量化研究與邏輯分享，使用者應自行評估風險並自負盈虧，本人不承擔任何交易損失。 Disclaimer: The performance above is based on historical backtesting and does not guarantee future results. Cryptocurrency trading involves high risk. This strategy is shared for quantitative research and educational purposes only. Users are solely responsible for their own risk assessment and PnL. I assume no liability for any trading losses incurred.
Strategi Pine Script®
oleh Mark-Li0203
TDZZ ETH 15min Vault: No-Loss Martin Gale StrategyStrategy Overview The ETH 15min Vault is an enhanced, high-frequency Martin Gale strategy designed specifically for Ethereum on the 15-minute chart. Its core innovation lies in integrating pre-calculated margin management with a multi-layer exit system, transforming the traditional high-risk Martingale approach into a controlled, calculated growth engine. The strategy aims for sustainable compound growth of small capitals (e.g., 1000U) in ranging markets while systematically eliminating the risk of account blow-up. Core Concept: The "No-Loss" Guarantee Unlike conventional Martingale systems that risk infinite losses, this strategy pre-calculates and logically reserves the total margin required for all potential layers (configurable, e.g., up to 30) at the initial entry. This ensures sufficient capital is always available for the next averaging order, preventing liquidation due to margin shortage. Combined with intelligent, proactive take-profit and safety-net closures, it creates a theoretically "No-Loss" framework for the Martin Gale method. Key Mechanisms 1、Smart Position Averaging: Averaging distances expand geometrically (configurable multiplier), preventing rapid layer depletion during sharp drops. Averaging order size increases progressively (configurable multiplier) to effectively lower the break-even point. 2、Dynamic Multi-Stage Exit Logic: Rebound TP: Partially closes a position when price rebounds a certain percentage from its entry, locking in profits early during oscillations. Cycle TP: Closes the remaining position upon reaching the primary profit target, which is dynamically recalculated after each average to reflect the new aggregate cost. Safety-Net Close (Defense Mode): Activates after a defined number of averages. Triggers a full exit if price: a) rallies significantly from the lowest point, b) retraces from a recent high, or c) fails to make a new low within a set time. This forms the final protective layer for capital preservation. Main Advantages ✅ True Risk Isolation: Transforms Martingale's "unlimited risk" into a "defined and manageable drawdown" via pre-calculated margins and safety-net exits. ✅ Active Profit Capture: The "Rebound TP" mechanism increases win rate and capital efficiency in ranging markets. ✅ Adaptive to Volatility: Adjustable parameters for averaging distance and size allow tuning for different market conditions. ✅ High-Frequency Compounding Potential: Operates on the 15-min timeframe, offering numerous opportunities to complete profit cycles in consolidating phases. Configuration & Parameters Key adjustable inputs include: Initial Capital %, Averaging Distance % and Multiplier, Order Size Multiplier, Max Layers, Take-Profit %, Rebound Close %, and all Defense Mode thresholds. This strategy significantly reduces liquidation risk through its design but does not eliminate trading risk. Substantial drawdowns can occur during strong, sustained trends. "No-Loss" refers to prevention of margin-call liquidation, not guaranteed profitability. Always conduct thorough backtesting and forward testing in a simulated environment before committing real capital. Past performance is not indicative of future results. Trade responsibly.
Strategi Pine Script®
oleh AI-996NB
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)
Strategi Pine Script®
oleh 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.
Strategi Pine Script®
oleh Mark-Li0203