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MenthorQ Levels ConversionLevels Conversion helps traders accurately overlay price levels from spot/index ETFs and indices (like SPX, SPY, QQQ, NDX) onto futures charts (like ES, NQ, etc.). Because futures and spot/index prices don’t trade at the same price, your levels will be misaligned if you plot them directly. Futures typically trade at a spread or ratio versus their related index/ETF. This indicator solves that by calculating the conversion ratio automatically, so your levels stay aligned on the futures chart. How it works This script calculates the ratio between Asset A and Asset B and applies it to convert levels from one instrument to the other (for example, SPX → ES, QQQ → NQ). Ratio options (3 modes) You can choose one of three ratio sources: ✅ T1 Ratio (Morning Snapshot) Select a specific time to “lock” the ratio. Default: 10:00 AM ET (morning session snapshot) ✅ T2 Ratio (Afternoon Snapshot) Select a second time to “lock” the ratio. Default: 3:30 PM ET (afternoon snapshot) ✅ Last Price Ratio (Live) Uses the last traded price of both assets to compute the ratio. Note: To refresh the “Last Price” baseline, simply remove and re-add the indicator. Learn more about Levels Conversions: menthorq.com Common levels conversions Some popular use-cases include: - SPX Gamma Levels → ES - SPY Gamma Levels → ES - QQQ Gamma Levels → NQ - NDX Gamma Levels → NQ - SPX Intraday Gamma Levels → ES - QQQ Intraday Gamma Levels → NQ - SPX Swing Trading Levels → ES - QQQ Swing Trading Levels → NQ - GLD Levels → GC - DIA Levels → YM - USO Levels → CL - NVDA / MAG7 Levels → QQQ
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Menthor_Q_Research tarafından
Liquidity Entry Triggers (4-Model System) | WarRoomXYZLiquidity Entry Triggers is an open-source, price-action-based analytical framework designed to highlight recurring institutional liquidity behaviors that appear across all liquid markets. The script focuses on how and where liquidity is taken, rather than attempting to predict direction using oscillators or lagging indicators. It is optimized for XAUUSD, FX pairs, indices, and crypto , particularly on 1m–15m timeframes where session behavior and liquidity reactions are most visible. This tool is not a buy/sell signal generator . It provides contextual entry zones based on structural liquidity logic, allowing traders to apply their own execution rules. Core Philosophy Markets move because of: •Trapped traders •Forced liquidations •Session-based liquidity cycles •Reactions at prior institutional participation zones This script visualizes four repeatable entry triggers that emerge from those mechanisms. 🔹 1. Failed Breakout / Trapped Trader Model When price breaks a clearly defined range high or low, breakout traders often enter expecting continuation. If price fails to hold outside the range and closes back inside, those traders become trapped. The script detects: •Breaks beyond recent highs/lows •Immediate rejection back into the range •Structural failure of momentum These conditions frequently lead to mean reversion or reversal moves as trapped traders exit and fuel movement in the opposite direction. Markers are plotted at the point of failure to highlight potential trap zones. 🔹 2. Liquidation Flush Detection Sharp impulsive candles with abnormally large wicks often represent liquidation cascades rather than healthy trend continuation. The script identifies liquidation behavior by measuring: •Wick-to-body imbalance •Sudden expansion followed by rejection •Temporary price inefficiencies These flushes commonly occur near: •Session highs/lows •Range extremes •Trend exhaustion points Such events often lead to rebalance moves , where price partially or fully fills the wick. 🔹 3. Orderblock Reaction Zones Orderblocks represent areas where heavy participation occurred before a strong displacement move. The script highlights: •Clean bullish and bearish orderblock structures •Zones formed during consolidation prior to expansion •Areas likely to be defended when revisited Orderblocks with minimal noise and clean departure are prioritized, as they often reflect institutional positioning rather than retail activity. These zones are intended as reaction areas , not automatic entry signals. 🔹 4. London Session Liquidity Sweep Model The London session frequently establishes the initial daily high or low. Later in the session or during New York, price often: •Sweeps internal liquidity around that level •Rejects after the sweep •Continues with the higher-timeframe bias The script monitors London session behavior and marks: •Liquidity runs above/below London highs and lows •Rejections back inside the prior structure This model is especially effective when combined with broader daily context. 🔹4. How the Components Work Together The framework is designed as a context stack , not a checklist of signals: Liquidity Event → Location → Timing → Trader Execution Each model reinforces the others: •Failed breakouts often occur after liquidity sweeps •Liquidation wicks frequently form near orderblocks •London sweeps often trigger failed momentum moves •Confluence increases probability, not certainty 🔹 Practical Usage Guide ✔ Identify context Determine whether price is approaching a range extreme, session level, or prior participation zone. ✔ Wait for a liquidity event Look for a sweep, failed breakout, or liquidation wick. ✔ Observe reaction Rejection, displacement, or reclaim behavior provides confirmation. ✔ Execute manually Stops are commonly placed beyond the liquidity extreme. Targets are typically internal liquidity, prior highs/lows, or imbalance zones. The indicator does not manage trades or enforce rules. Execution and risk management remain the trader’s responsibility. 🔹 5. Originality & Design Notes This script does not replicate or bundle existing indicators. It introduces: •A multi-model liquidity entry framework •Structural failed breakout detection •Wick-based liquidation imbalance logic •Session-aware liquidity sweep visualization •A unified, minimal, non-lagging design All concepts are based on observable market behavior and integrated into a single analytical tool. 🔹 6. Suitable Markets & Timeframes Works best on: •XAUUSD •Major FX pairs •Indices •Liquid crypto markets Recommended timeframes: •1m •5m •15m •30m 🔹7. Limitations & Notes •This is an analytical framework , not a trading system •All markings are confirmed at candle close (non-repainting) •No open interest or order flow data is used •Results depend on user interpretation and execution •Best used alongside session bias and higher-timeframe structure Disclaimer This script is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument. Trading involves risk, and losses can exceed initial deposits. The author assumes no responsibility for trading decisions made using this tool. Users are strongly encouraged to test this script in demo or simulation environments and to apply proper risk management, position sizing, and personal discretion at all times. By using this script, you acknowledge and accept all associated risks.
Pine Script® göstergesi
WarroomXYZ tarafından
True vs False Breakout (Vol + Body Shape) **Indicator Description: True vs. False Breakout Detector** This indicator helps identify the quality of a breakout by analyzing price action and volume. **★ Green Arrow: "True Breakout (Strong Candle)"** This represents a high-confidence breakout signal. * **Criteria:** Price Breakout + Volume Surge + Strong Candle Close (minimal to no upper wick). * **Significance:** Indicates strong bullish momentum. **● Grey Dot: "Weak Breakout"** Appears when price breaks resistance but shows signs of weakness. * **Criteria:** Breakout with low volume OR a long upper wick (rejection). * **Meaning:** "Price made a new high, but the move is untrustworthy." * **Action:** Do not chase the long position. Be cautious and look for potential reversals. **▼ Red Label: "False Breakout (Reversal)"** * **Signal:** Appears when a Weak Breakout (Grey Dot) is followed by bearish price action. * **Action:** This indicates a confirmed False Breakout and presents a prime shorting opportunity. ------------------------------------------------------------------------------------------- ★指标描述：真假突破辨别。 ★绿色箭头 "真突破 (强K线)"： 这是你要的完美信号。 它意味着：价格破位 + 成交量放大 + K线收盘坚决（几乎没有上影线）。 对应刚才的行情： 刚才那根1H大阳线应该会触发这个信号。 灰色圆点 "弱势突破" (新增)： 如果价格突破了阻力，但是没量，或者留了长上影线（像你之前描述的那几根15分钟线），指标会标记灰色圆点。 含义： “虽然价格破了新高，但我不信任它”。这时候千万不要追多，反而要准备做空。 红色标签 "假突破 (反转)"： 当灰色圆点（弱势突破）出现后，紧接着出现红色标签，就是绝佳的做空点。
Pine Script® göstergesi
fish0210 tarafından
5
Cup & Handle Finder by Mashrab🚀 New Tool Alert: The "Perfect Cup" Finder Hey everyone! I’ve built a custom indicator to help us find high-quality Cup & Handle setups before they breakout. Most scripts just look for random highs and lows, but this one uses a geometric algorithm to ensure the base is actually round (avoiding those messy V-shapes). How it works: 🔵 Blue Arc: This marks a verified, institutional-quality Cup. 🟠 Orange Box: This is the "Handle Zone." If you see this connecting to the current candle, it means the setup is live and ready for a potential entry! Best Usage: Works best on Weekly (1W) charts. It’s designed to be an "Early Warning" system—alerting you while the handle is still forming so you don't miss the move. Give it a try and let me know what you find! 📉📈
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highstandart9 tarafından
1
RRE ZonesLine Creation: Each FVG box now has a corresponding dashed line drawn through its center: Uses a dashed style for clear visibility Matches the FVG color (with 30% transparency) Extends to the right like the box Width of 1 pixel Synchronized Cleanup: When FVG boxes are removed (either by reaching max count or being filled by price), their corresponding center lines are also deleted automatically. The center lines help you: Quickly identify the 50% level of each FVG Use it as a potential target or entry level Better visualize the gap's midpoint for trading decisions
Pine Script® göstergesi
ramrajenterprises tarafından
3LL+Baby & 3HH+Baby Pattern3LL+Baby & 3HH+Baby Pattern Indicator Overview This indicator identifies powerful reversal patterns based on momentum exhaustion and inside bar formations. It detects two specific candlestick patterns that signal potential trend reversals: the bullish 3LL+Baby and the bearish 3HH+Baby. Pattern Descriptions 📈 3LL+Baby Pattern (Bullish Reversal) Conditions: Three consecutive candles form lower lows (each low is lower than the previous) The fourth candle is bullish/green (closes higher than it opens) The fourth candle is completely contained within the third candle's range (both high and low) Interpretation: After a downward momentum with three lower lows, a bullish inside bar (baby candle) suggests sellers are exhausted and buyers may be taking control. This pattern often precedes upward reversals. 📉 3HH+Baby Pattern (Bearish Reversal) Conditions: Three consecutive candles form higher highs (each high is higher than the previous) The fourth candle is bearish/red (closes lower than it opens) The fourth candle is completely contained within the third candle's range (both high and low) Interpretation: After upward momentum with three higher highs, a bearish inside bar indicates buyers are losing strength and sellers may be gaining control. This pattern often signals potential downward reversals. Features Visual Signals Green Triangle (↑): Appears below bars when 3LL+Baby pattern is detected Red Triangle (↓): Appears above bars when 3HH+Baby pattern is detected Labels: Clear text labels identifying each pattern type Background Highlighting: Subtle background colors (green for bullish, red for bearish) Customization Options Toggle labels on/off Toggle arrow signals on/off Enable/disable bullish patterns independently Enable/disable bearish patterns independently How to Use Add to Chart: Apply the indicator to any timeframe and instrument Configure Settings: Adjust visibility options based on your preference Set Alerts: Create alerts for immediate pattern notifications Trading Strategy: 3LL+Baby : Consider long positions or closing shorts 3HH+Baby: Consider short positions or closing longs Always confirm with additional analysis and risk management Best Practices Use in conjunction with support/resistance levels Combine with volume analysis for confirmation Works on all timeframes (higher timeframes generally more reliable) Apply proper risk management and stop-loss orders Consider the broader market context and trend
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JPRockzzz tarafından
3
takeshi_2Step_Screener_MOU_KAKU_FIXED3//@version=5 indicator("MNO_2Step_Screener_MOU_KAKU_FIXED3", overlay=true, max_labels_count=500) // ========================= // 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") showMou = input.bool(true, "Show MOU label") showKaku = input.bool(true, "Show KAKU label") showDebugTbl = input.bool(false, "Show debug table (last bar)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) // plot は if の中に入れない（naで制御） 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 // 勝率維持の土台（緩めない） 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 // ========================= // Display (統一ラベル) // ========================= showKakuNow = showKaku and kaku showMouPull = showMou and mou_pullback and not kaku showMouBrk = showMou and mou_breakout and not kaku plotshape(showMouPull, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouBrk, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuNow, 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") // ========================= // Debug table (optional) // ========================= 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 // ❗ colspanは使えないので2セルでヘッダーを作る 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("MOU any", mou, 11) fRow("KAKU", kaku, 12)
Pine Script® göstergesi
morishima0ut6b tarafından
indicator("MouNoOkite_InitialMove_Screener", overlay=true)//@version=5 indicator("猛の掟・初動スクリーナー（5EMA×MACD×出来高×ローソク）", overlay=true, max_labels_count=500) // ========================= // 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") volLookback = input.int(5, "出来高平均（日数）", minval=1) volMinRatio = input.float(1.3, "出来高倍率(初動点灯)", step=0.1) volStrong = input.float(1.5, "出来高倍率(本物初動)", step=0.1) volMaxRatio = input.float(2.0, "出来高倍率(上限目安)", step=0.1) wickBodyMult = input.float(2.0, "ピンバー判定: 下ヒゲ >= (実体×倍率)", step=0.1) pivotLen = input.int(20, "直近高値/レジスタンス判定のLookback", minval=5) pullMinPct = input.float(5.0, "押し目最小(%)", step=0.1) pullMaxPct = input.float(15.0, "押し目最大(%)", step=0.1) showDebug = input.bool(true, "デバッグ表示（条件チェック）") // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(emaS, color=color.new(color.yellow, 0), title="EMA 5") plot(emaM, color=color.new(color.blue, 0), title="EMA 13") plot(emaL, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL // 26EMA上に2日定着 above26_2days = close > emaL and close > emaL // 黄金隊列 goldenOrder = emaS > emaM and emaM > emaL // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) // ヒストグラム縮小（マイナス圏で上向きの準備）も見たい場合の例 histShrinking = math.abs(macdHist) < math.abs(macdHist ) histUp = macdHist > macdHist // ゼロライン上でGC（最終シグナル） macdGCAboveZero = ta.crossover(macdLine, macdSig) and macdLine > 0 and macdSig > 0 // 参考：ゼロ直下で上昇方向（勢い準備） macdRisingNearZero = (macdLine < 0) and (macdLine > macdLine ) and (math.abs(macdLine) <= math.abs(0.5)) // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low // 長い下ヒゲ（ピンバー系）: 実体が小さく、下ヒゲが優位 pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) // 陽線包み足（前日陰線を包む） bullEngulf = close > open and close < open and close >= open and open <= close // 5EMA・13EMA を貫く大陽線（勢い） bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) // “相対的に大きい”目安 candleOK = pinbar or bullEngulf or bigBull // ========================= // 押し目 (-5%〜-15%) & レジブレ後 // ========================= recentHigh = ta.highest(high, pivotLen) pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct // “レジスタンスブレイク”簡易定義：直近pivotLen高値を一度上抜いている // → その後に押し目位置にいる（現在が押し目） brokeResistance = ta.crossover(close, recentHigh ) or (close > recentHigh ) afterBreakPull = brokeResistance or brokeResistance or brokeResistance or brokeResistance or brokeResistance breakThenPullOK = afterBreakPull and pullbackOK // ========================= // 最終三点シグナル（ヒゲ × 出来高 × MACD） // ========================= final3 = pinbar and macdGCAboveZero and volumeStrongOK // ========================= // 猛の掟 8条件チェック（1つでも欠けたら「見送り」） // ========================= // 1) 5EMA↑ 13EMA↑ 26EMA↑ cond1 = emaUpS and emaUpM and emaUpL // 2) 5>13>26 黄金隊列 cond2 = goldenOrder // 3) ローソク足が26EMA上に2日定着 cond3 = above26_2days // 4) MACD(12,26,9) ゼロライン上でGC cond4 = macdGCAboveZero // 5) 出来高が直近5日平均の1.3〜2.0倍 cond5 = volumeOK // 6) ピンバー or 包み足 or 大陽線 cond6 = candleOK // 7) 押し目 -5〜15% cond7 = pullbackOK // 8) レジスタンスブレイク後の押し目 cond8 = breakThenPullOK all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 // ========================= // 判定（2択のみ） // ========================= isBuy = all8 and final3 decision = isBuy ? "買い" : "見送り" // ========================= // 表示 // ========================= plotshape(isBuy, title="BUY", style=shape.labelup, text="買い", color=color.new(color.lime, 0), textcolor=color.black, location=location.belowbar, size=size.small) plotshape((not isBuy) and all8, title="ALL8_OK_but_noFinal3", style=shape.labelup, text="8条件OK (最終3未)", color=color.new(color.yellow, 0), textcolor=color.black, location=location.belowbar, size=size.tiny) // デバッグ（8項目チェック結果） if showDebug and barstate.islast var label dbg = na label.delete(dbg) txt = "【8項目チェック】 " + "1 EMA全上向き: " + (cond1 ? "達成" : "未達") + " " + "2 黄金隊列: " + (cond2 ? "達成" : "未達") + " " + "3 26EMA上2日: " + (cond3 ? "達成" : "未達") + " " + "4 MACDゼロ上GC: " + (cond4 ? "達成" : "未達") + " " + "5 出来高1.3-2.0: "+ (cond5 ? "達成" : "未達") + " " + "6 ローソク条件: " + (cond6 ? "達成" : "未達") + " " + "7 押し目5-15%: " + (cond7 ? "達成" : "未達") + " " + "8 ブレイク後押し目: " + (cond8 ? "達成" : "未達") + " " + "最終三点(ヒゲ×出来高×MACD): " + (final3 ? "成立" : "未成立") + " " + "判定: " + decision dbg := label.new(bar_index, high, txt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) // アラート alertcondition(isBuy, title="猛の掟 BUY", message="猛の掟: 買いシグナル（8条件＋最終三点）")
Pine Script® göstergesi
morishima0ut6b tarafından
ORB + FVG + PDH/PDL ORB + FVG + PDH/PDL is an all-in-one day-trading overlay that plots: Opening Range (ORB) high/low with optional box and extension Fair Value Gaps (FVG) with optional “unmitigated” levels + mitigation lines Previous Day High/Low history (PDH/PDL) drawn as one-day segments (yesterday’s levels plotted across today’s session only) Includes presets (ORB only / FVG only / Both) and optional alerts for ORB touches, ORB break + retest, FVG entry, and PDH/PDL touches.
Pine Script® göstergesi
JDJerde tarafından
takeshi GPT//@version=5 indicator("猛の掟・初動スクリーナーGPT", overlay = true, timeframe = "", timeframe_gaps = true) // ====================================================== // ■ 1. パラメータ設定 // ====================================================== // EMA長 emaFastLen = input.int(5, "短期EMA (5)", minval = 1) emaMidLen = input.int(13, "中期EMA (13)", minval = 1) emaSlowLen = input.int(26, "長期EMA (26)", minval = 1) // 出来高 volMaLen = input.int(5, "出来高平均期間", minval = 1) volMultInitial = input.float(1.3, "出来高 初動ライン (×)", minval = 1.0, step = 0.1) volMultStrong = input.float(1.5, "出来高 本物ライン (×)", minval = 1.0, step = 0.1) // 押し目・レジスタンス pullbackLookback = input.int(20, "直近高値の探索期間", minval = 5) pullbackMinPct = input.float(5.0, "押し目下限 (%)", minval = 0.0, step = 0.1) pullbackMaxPct = input.float(15.0, "押し目上限 (%)", minval = 0.0, step = 0.1) // ピンバー判定パラメータ pinbarWickRatio = input.float(2.0, "ピンバー下ヒゲ/実体 比率", minval = 1.0, step = 0.5) pinbarMaxUpperPct = input.float(25.0, "ピンバー上ヒゲ比率上限 (%)", minval = 0.0, step = 1.0) // 大陽線判定 bigBodyPct = input.float(2.0, "大陽線の最低値幅 (%)", minval = 0.1, step = 0.1) // ====================================================== // ■ 2. 基本テクニカル計算 // ====================================================== emaFast = ta.ema(close, emaFastLen) emaMid = ta.ema(close, emaMidLen) emaSlow = ta.ema(close, emaSlowLen) // MACD = ta.macd(close, 12, 26, 9) // 出来高 volMa = ta.sma(volume, volMaLen) // 直近高値（押し目判定用） recentHigh = ta.highest(high, pullbackLookback) drawdownPct = (recentHigh > 0) ? (recentHigh - close) / recentHigh * 100.0 : na // ====================================================== // ■ 3. A：トレンド（初動）条件 // ====================================================== // 1. 5EMA↑ 13EMA↑ 26EMA↑ emaUpFast = emaFast > emaFast emaUpMid = emaMid > emaMid emaUpSlow = emaSlow > emaSlow condTrendUp = emaUpFast and emaUpMid and emaUpSlow // 2. 黄金並び 5EMA > 13EMA > 26EMA condGolden = emaFast > emaMid and emaMid > emaSlow // 3. ローソク足が 26EMA 上に2日定着 condAboveSlow2 = close > emaSlow and close > emaSlow // ====================================================== // ■ 4. B：モメンタム（MACD）条件 // ====================================================== // ヒストグラム縮小＋上向き histShrinkingUp = (math.abs(histLine) < math.abs(histLine )) and (histLine > histLine ) // ゼロライン直下〜直上での上向き nearZeroRange = 0.5 // ゼロライン±0.5 macdNearZero = math.abs(macdLine) <= nearZeroRange // MACDが上向き macdTurningUp = macdLine > macdLine // MACDゼロライン上でゴールデンクロス macdZeroCrossUp = macdLine > signalLine and macdLine <= signalLine and macdLine > 0 // B条件：すべて condMACD = histShrinkingUp and macdNearZero and macdTurningUp and macdZeroCrossUp // ====================================================== // ■ 5. C：需給（出来高）条件 // ====================================================== condVolInitial = volume > volMa * volMultInitial // 1.3倍〜 初動点灯 condVolStrong = volume > volMa * volMultStrong // 1.5倍〜 本物初動 condVolume = condVolInitial // 「8掟」では1.3倍以上で合格 // ====================================================== // ■ 6. D：ローソク足パターン // ====================================================== body = math.abs(close - open) upperWick = high - math.max(close, open) lowerWick = math.min(close, open) - low rangeAll = high - low // 安全対策：0除算回避 rangeAllSafe = rangeAll == 0.0 ? 0.0000001 : rangeAll bodyPct = body / close * 100.0 // ● 長い下ヒゲ（ピンバー） lowerToBodyRatio = (body > 0) ? lowerWick / body : 0.0 upperPct = upperWick / rangeAllSafe * 100.0 isBullPinbar = lowerToBodyRatio >= pinbarWickRatio and upperPct <= pinbarMaxUpperPct and close > open // ● 陽線包み足（bullish engulfing） prevBearish = close < open isEngulfingBull = close > open and prevBearish and close >= open and open <= close // ● 5EMA・13EMAを貫く大陽線 crossFast = open < emaFast and close > emaFast crossMid = open < emaMid and close > emaMid isBigBody = bodyPct >= bigBodyPct isBigBull = close > open and (crossFast or crossMid) and isBigBody // D条件：どれか1つでOK condCandle = isBullPinbar or isEngulfingBull or isBigBull // ====================================================== // ■ 7. E：価格帯（押し目位置 & レジスタンスブレイク） // ====================================================== // 7. 押し目 -5〜15% condPullback = drawdownPct >= pullbackMinPct and drawdownPct <= pullbackMaxPct // 8. レジスタンス突破 → 押し目 → 再上昇 // 直近 pullbackLookback 本の高値をレジスタンスとみなす（現在足除く） resistance = ta.highest(close , pullbackLookback) // レジスタンスブレイクが起きたバーからの経過本数 brokeAbove = ta.barssince(close > resistance) // ブレイク後に一度レジ上まで戻したか pulledBack = brokeAbove != na ? ta.lowest(low, brokeAbove + 1) < resistance : false // 現在は再上昇方向か reRising = close > close condBreakPull = (brokeAbove != na) and (brokeAbove <= pullbackLookback) and pulledBack and reRising // ====================================================== // ■ 8. 最終 8条件 & 三点シグナル // ====================================================== // 8つの掟 condA = condTrendUp and condGolden and condAboveSlow2 condB = condMACD condC = condVolume condD = condCandle condE = condPullback and condBreakPull all_conditions = condA and condB and condC and condD and condE // 🟩 最終三点シグナル // 1. 長い下ヒゲ 2. MACDゼロライン上GC 3. 出来高1.5倍以上 threePoint = isBullPinbar and macdZeroCrossUp and condVolStrong // 「買い確定」＝ 8条件すべて ＋ 三点シグナル buy_confirmed = all_conditions and threePoint // ====================================================== // ■ 9. チャート表示 & スクリーナー用出力 // ====================================================== // EMA表示 plot(emaFast, color = color.orange, title = "EMA 5") plot(emaMid, color = color.new(color.blue, 10), title = "EMA 13") plot(emaSlow, color = color.new(color.green, 20), title = "EMA 26") // 初動シグナル plotshape( all_conditions and not buy_confirmed, title = "初動シグナル（掟8条件クリア）", style = shape.labelup, color = color.new(color.yellow, 0), text = "初動", location = location.belowbar, size = size.small) // 三点フルシグナル（買い確定） plotshape( buy_confirmed, title = "三点フルシグナル（買い確定）", style = shape.labelup, color = color.new(color.lime, 0), text = "買い", location = location.belowbar, size = size.large) // スクリーナー用 series 出力（非表示） plot(all_conditions ? 1 : 0, title = "all_conditions (8掟クリア)", display = display.none) plot(buy_confirmed ? 1 : 0, title = "buy_confirmed (三点＋8掟)", display = display.none)
Pine Script® göstergesi
morishima0ut6b tarafından
Smart Money Alpha Signals (Performance Dashboard) Smart Money Alpha Signals: Identifying Market Leaders & Generating Alpha GMP Alpha Signals (Global Market Performance Alpha) is a specialized analysis tool designed not merely to find stocks that are rising, but to identify "Alpha" assets—Market Leaders that defend their price or rise even under adverse conditions where the market index falls or consolidates. This indicator visualizes the concept of Comparative Relative Strength (RS) and Smart Money accumulation patterns, helping traders capture profit opportunities even during bearish market phases. Key Objectives (Purpose) Alpha Capture: Identifying assets generating 'excess returns' that outperform the market Beta. Smart Money Tracking: Detecting traces of 'institutional buying' and 'accumulation' that defend prices during index plunges. Decoupling Identification: Spotting assets moving on independent catalysts or momentum, regardless of the broader market direction. Stop Hunt Filtering: Distinguishing 'fake drops' where price dips temporarily, but Relative Strength remains intact. Dashboard Guide Interpretation of the information panel (Table) displayed on the chart. Rel. Performance: Shows the excess return compared to the index over the set period. (Positive/Green = Stronger than the market). Decoupling Strength: The correlation coefficient with the index. Lower values (0 or negative) indicate movement independent of market risk. Bullish: The count/rate of rising or limiting losses when the index drops sharply (e.g., < -0.5%). (Gold = Market Crash Leader). Defended: The count/rate of holding support levels when the index shows mild weakness (e.g., < -0.05%). (Gold = Strong Accumulation). Bench. Defense: The defense rate of the comparison benchmark (e.g., TSLA, ETH). Your target asset must be higher to be considered the sector leader. Input Options & Settings Guide You can optimize settings according to your trading style and asset class (Stocks/Crypto). (1) Main Settings Major Index: The baseline market index for comparison. (US Stocks: NASDAQ:NDX or TVC:SPX / Crypto: BINANCE:BTCUSDT) Benchmark Symbol: A competitor within the sector. (e.g., Set NVDA when analyzing Semiconductor stocks). Correlation Lookback: The lookback period for judging decoupling. (Default: 30) Performance Lookback: The number of bars to calculate cumulative returns and defense rates. (Default: 60) (2) Dashboard Thresholds These settings define the criteria for what qualifies as "Defended" or "Bullish". Performance (Max %): Used to find assets that haven't pumped yet. Signals trigger only when Alpha is below this value. Defended Logic: Index Drop Condition: The index must drop by at least this amount to start checking. (e.g., -0.05%) Asset Buffer: How much the asset must outperform the index drop. (Example: If Index drops -1.0% and Buffer is 0.2%, the asset must be at least -0.8% to count as 'Defended'). Bullish Logic: Measures resilience during steeper market dumps (e.g., -0.5% drop) compared to the Defended Logic. Volume Settings: Decides whether to count Defended/Bullish instances only when accompanied by volume above the SMA. (3) Signal Logic Settings (Crucial) Customize conditions to trigger alerts. The choice between AND / OR is crucial. AND: Condition must be met SIMULTANEOUSLY with other active conditions (Conservative/High Certainty). OR: Condition triggers the signal INDEPENDENTLY (Aggressive/Opportunity Capture). Performance: Is the relative performance within the threshold? (Basic Filter). Decoupling: Has the correlation dropped? (Start of independent move). Bullish Rate: Is the Bullish rate high during market dumps? Defended Rate (High): (Recommended) Is there continuous price defense occurring? (Accumulation detection). Defended Rate (Low): (Warning) Has the defense rate broken down? (For Stop Loss). Defended > Benchmark: Is it stronger than the Benchmark (2nd tier)? Volume Spike: Has volume surged compared to the average? (Institutional involvement). RSI Oversold: Is it in oversold territory? (Counter-trend trading). Decoupling Move: Does the current bar show the "Index Down / Asset Up" pattern? Min USD Volume: Transaction value filter (To exclude low liquidity assets).
Pine Script® göstergesi
BIGTAKER tarafından
12
Trend detection zero lag Trend Detection Zero-Lag (v6) Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals. This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly. Core Features 🔹 Zero-Lag Trend Engine Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages. Provides earlier trend shifts while maintaining smoothness. 🔹 Multi-Factor Trend Detection Trend direction is determined using a hybrid engine: HMA slope (momentum direction) Rising / falling confirmation Swing structure detection (HH/HL vs LH/LL) ATR-adjusted dynamic sensitivity This approach allows fast flips when conditions change, without excessive noise. Adaptive Volatility Sensitivity Sensitivity dynamically adjusts based on ATR relative to price In high volatility: faster reaction In low volatility: smoother, more stable trend state This ensures the indicator adapts across: Trend days Range days Volatility expansion or contraction Trend Duration Intelligence The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases. From this, it calculates: Current trend duration Average historical duration for the active trend direction This helps traders gauge: Whether a trend is early, mature, or extended Probability of continuation vs exhaustion Strength Scoring A normalized Trend Strength Score (0–100) is calculated using: Zero-lag slope magnitude ATR normalization This provides a quick read on: Weak / choppy trends Healthy trend continuation Overextended momentum Visual Design Color-coded Zero-Lag HMA Bullish trend → user-defined bullish color Bearish trend → user-defined bearish color Designed for dark mode / neon-style charts Clean overlay with no clutter Trend Detection Zero-Lag is built for traders who need: Faster trend recognition Adaptive behavior across market regimes Structural confirmation beyond simple moving averages Clear, actionable visual signals
Pine Script® göstergesi
MomentumCraft_ tarafından
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis. This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality: 🎯 Core Features 1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles: MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends MA5 (21 EMA): Short-term anchor - critical pivot point MA6 (34 EMA): Intermediate support/resistance MA7 (50 EMA): Medium-term bridge between short and long trends MA8-MA9 (89, 100): Transition zone indicators MA10-MA11 (150, 200): Long-term anchors for major trend identification Each MA is fully customizable: Type: SMA, EMA, WMA, TMA, RMA Color, width, and enable/disable toggle 📊 Signal Generation System Three Signal Tiers: Short-Term Signals (ST) Trigger: MA8 (EMA 8) crossing MA21 (EMA 21) Filters Applied: ✅ ATR-based post-cross confirmation (optional) ✅ Momentum confirmation (RSI > 50, MACD positive) ✅ Volume spike requirement ✅ HTF (Higher Timeframe) alignment ✅ Strong candle body ratio (>50%) ✅ Multi-MA confirmation (3+ MAs supporting direction) ✅ Price beyond MA21 with conviction ✅ Minimum bar spacing (prevents signal clustering) ✅ Consolidation filter ✅ Whipsaw protection (ATR-based price threshold) Medium-Term Signals (MT) Trigger: MA21 crossing MA50 Less strict filtering for swing trades Major Signals Golden Cross: MA50 crossing above MA200 (major bullish) Death Cross: MA50 crossing below MA200 (major bearish) 🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover This prevents false signals during low-volatility consolidation.2. Momentum Filters RSI (14) MACD Histogram Rate of Change (ROC) Composite momentum score (-3 to +3) 3. Volume Analysis Volume spike detection (2x MA) Volume classification: LOW, MED, HIGH, EXPL Directional volume confirmation 4. Higher Timeframe Alignment HTF1: 60-minute (default) HTF2: 4-hour (optional) HTF3: Daily (optional) Signals only trigger when current TF aligns with HTF trend 5. Market Structure Detection Break of Structure (BOS): Price breaking recent swing highs/lows Order Blocks (OB): Institutional demand/supply zones Fair Value Gaps (FVG): Imbalance areas for potential fills 📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional): Price Distance from Key MAs vs MA21, MA50, MA200 (percentage) Color-coded: green (above), red (below) MA Alignment Score Calculates % of MAs in proper order 🟢 for bullish alignment, 🔴 for bearish Trend Strength Based on separation between MA21 and MA200 NONE/WEAK/MODERATE/STRONG/EXTREME Consolidation Detection Identifies low-volatility ranges Prevents signals during sideways markets ⚙️ Customization OptionsFilter Toggles: ☑️ Require Momentum ☑️ Require Volume ☑️ Require HTF Alignment ☑️ Use ATR post-cross confirmation ☑️ Whipsaw filter Min bars between signals (default: 5) Dashboard Styling: 9 position options 6 text sizes Custom colors for header, rows, and text Toggle individual metrics on/off 🎨 Visual Elements Signal Labels: ST▲/ST▼ (green/red) - Short-term MT▲/MT▼ (blue/orange) - Medium-term GOLDEN CROSS / DEATH CROSS - Major signals Volume Spikes: Small labels showing volume class + direction Example: "HIGH🟢" or "EXPL🔴" Market Structure: Dashed lines for Break of Structure levels Automatic detection of swing highs/lows 🔔 Alert Conditions Pre-configured alerts for: Short-term bullish/bearish crosses Medium-term bullish/bearish crosses Golden Cross / Death Cross Volume spikes 💡 Key Strengths Institutional-Grade Filtering: Multiple confirmation layers reduce false signals Multi-Timeframe Analysis: Ensures alignment across timeframes Adaptive to Market Conditions: ATR-based thresholds adjust to volatility Comprehensive Dashboard: All critical metrics in one view Highly Customizable: 100+ input parameters Signal Quality Over Quantity: Strict filters prioritize high-probability setups ⚠️ Usage Recommendations Best for: Swing trading and position trading Timeframes: Works on all TFs, optimized for 15m-Daily Markets: Stocks, Forex, Crypto, Indices Signal Frequency: Conservative (quality over quantity) Combine with: Support/resistance, price action, risk management 🔧 Technical Implementation Notes Uses Pine Script v6 syntax Efficient calculation with minimal repainting Maximum 500 labels for performance Security function for HTF data (no lookahead bias) Array-based MA alignment calculation State variables to track signal spacing This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment). The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
Pine Script® göstergesi
lohanineeraj tarafından
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)This script provides optimized scalping signals for BTC, designed mainly for the 15-minute timeframe. Long/short entries are generated using VWAP band position and trend confirmation logic. OBV momentum is used as a secondary filter to validate breakout or reversal conditions. Exit signals are displayed when volatility compression or mean-reversion conditions occur. Simple visual markers (triangles and circles) are included for easy decision-making. 롱/숏 삼각형 시그널 동그라미 청산 시그널 VWAP 밴드 기반 방향성 OBV 보조지표 이름 (Name) BTC Scalping Signal – VWAP + OBV 짧은 설명 (Short Description) VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다. 긴 설명 (Long Description) 이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다. VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다. OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다. 시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다. 삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Pine Script® göstergesi
ninnikuya2294 tarafından
RSI Multi-Timeframe TableHow the RSI Multi-Timeframe Table Indicator Works This indicator displays a table showing the RSI (14) from multiple timeframes at the same time. It helps you quickly see whether the RSI is in overbought or oversold zones across different periods (1m, 5m, 15m, 30m, 1h, 4h, and 1D). Below is a clear explanation of how each part works: 1) Timeframes Used The indicator analyzes the RSI from the following timeframes: 1 minute (1m) 5 minutes (5m) 15 minutes (15m) 30 minutes (30m) 1 hour (1h) 4 hours (4h) 1 day (1D) Each row of the table represents one of these timeframes. 2) How the RSI Is Retrieved For each timeframe, the script uses the request.security() function to fetch the RSI(14) value from that specific timeframe, even if your current chart is set to a different one. Example: On a 1h chart, you can still see the RSI from 1m, 5m, 30m, etc. 3) Table Structure The table appears in the top-right corner and contains 8 columns: TF – shows the timeframe name RSI – shows the RSI value with two decimal places 10 – marks if RSI is ≤ 10 20 – marks if RSI is ≤ 20 30 – marks if RSI is ≤ 30 70 – marks if RSI is ≥ 70 80 – marks if RSI is ≥ 80 90 – marks if RSI is ≥ 90 The extreme levels (10, 20, 80, 90) help identify possible reversal zones. 4) Markings in the Table When a condition is true, a ● circle appears in the corresponding cell. Examples: If the 5m RSI is ≤ 20, a circle appears in the 20 column for the 5m row. If the 1H RSI is ≥ 80, a circle appears in the 80 column for the 1H row. Colors also help interpretation: Red for strong oversold levels (≤10) Orange and yellow for intermediate levels Green, teal, and blue for overbought levels 5) Alerts The indicator includes four built-in alerts: RSI ≤ 10 RSI ≤ 20 RSI ≥ 80 RSI ≥ 90 These alerts use the RSI from the current chart timeframe. To enable them: Open Alerts in TradingView Click Create Alert Select the indicator Choose the alert you want Confirm 6) Purpose of This Indicator It is useful for: Quickly checking market strength across multiple timeframes Identifying when several periods are overbought or oversold Avoiding trades against market momentum Helping confirm potential reversal points Summary This indicator creates a table that shows RSI values from multiple timeframes and visually highlights overbought or oversold conditions in each one. It also includes ready-to-use alerts for the most extreme RSI levels.
Pine Script® göstergesi
PortugaBR tarafından
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Regime EngineRegime Engine Overview Regime Engine is a market regime detection system that classifies price action into bullish, bearish, or neutral states using weighted exponential moving average analysis. Once the regime is identified, the indicator generates buy and sell signals based on Donchian channel breakouts, filtered by ADX trend strength and RSI momentum conditions. The Money Line The core of regime detection is the Money Line, a weighted combination of two exponential moving averages. By default, the short EMA (8 periods) receives 60% weight while the long EMA (24 periods) receives 40% weight. This weighting allows the Money Line to be more responsive than a simple long-period average while remaining smoother than a short-period average alone. The Money Line changes color based on the current regime: green for bullish, red for bearish, and yellow for neutral. This provides immediate visual feedback about the market state. Regime Classification The indicator determines market regime by comparing the relative positions of the short and long EMAs while also considering RSI levels to avoid classifying overbought or oversold conditions as trend states. Bullish regime is identified when the short EMA is above the long EMA and RSI is not in overbought territory. This combination suggests upward momentum that is not yet exhausted. Bearish regime is identified when the short EMA is below the long EMA and RSI is not in oversold territory. This indicates downward momentum with room to continue. Neutral regime applies when the EMAs are close together or RSI conditions prevent trend classification. The indicator provides two optional methods for enhanced neutral detection. Neutral Zone Detection Markets often transition through periods where trend direction is unclear. The indicator offers two complementary methods for detecting these neutral zones. The slope method examines the rate of change of the Money Line relative to ATR. When the Money Line is moving slowly (slope below a tolerance threshold), the market is classified as neutral regardless of EMA positioning. The EMA distance method calculates the percentage distance between the short and long EMAs. When they are within a specified percentage of each other, the EMAs are considered too close to reliably indicate direction. Either or both methods can be enabled, and if either triggers, the regime is classified as neutral. Donchian Channel Signals Buy and sell signals are generated when price interacts with the Donchian channel boundaries. The Donchian channel plots the highest high and lowest low over a lookback period (default 20 bars), offset by one bar to prevent repainting. Buy signals trigger when price touches or breaks below the lower Donchian band, indicating a potential support level. Sell signals trigger when price touches or breaks above the upper Donchian band, indicating potential resistance. An optional setting requires the close to confirm the break rather than just the wick, providing more conservative signal generation. ADX Trend Strength Filter The Average Directional Index filters signals to ensure they occur during trending conditions. When enabled, signals only fire if ADX exceeds the threshold (default 24), confirming that the market has sufficient directional momentum for breakout trades to succeed. The indicator uses Wilder's original smoothing method for ADX calculation, providing the traditional interpretation of trend strength values. RSI Momentum Filter RSI provides additional signal filtering to ensure entries occur at favorable momentum levels. Buy signals require RSI to be at or below the oversold threshold (default 30), indicating potential exhaustion of selling pressure. Sell signals require RSI to be at or above the overbought threshold (default 70), suggesting exhaustion of buying pressure. These filters can be disabled for traders who prefer unfiltered Donchian breakout signals. BBWP Volatility Monitoring Bollinger Band Width Percentile measures current volatility relative to its historical range. The indicator calculates BB width and ranks it against the specified lookback period (default 252 bars, approximately one trading year). BBWP above 70% indicates elevated volatility, which may signal trend acceleration or potential reversals. BBWP below 30% indicates compressed volatility, often preceding significant moves. The information panel displays the current BBWP reading with color coding to highlight these conditions. Signal Cooldown To prevent signal clustering during extended breakout periods, a configurable cooldown prevents new signals of the same type for a specified number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The Donchian channel can display shaded bands between the upper and lower boundaries. The shading color reflects the current regime: green for bullish, magenta for bearish, and blue for neutral. This provides at-a-glance context for where price is trading within its recent range. An ADX strength bar at the bottom of the chart uses color coding: white for weak trend (ADX below 15), orange for ranging (ADX 15-24), and blue for trending (ADX above 24). This matches the trend strength display in the information panel. Price labels appear at signal locations showing the signal type and entry price. Labels are automatically cleaned up after reaching a configurable history limit to maintain chart performance. Signal candles are highlighted in blue, making it easy to identify exactly which bars generated signals when reviewing historical performance. Information Panel A compact table displays key metrics: current regime bias, trend strength classification, BBWP volatility reading, RSI level, and ADX value. Each metric is color-coded to highlight favorable or unfavorable conditions. The panel can be positioned at any corner or middle edge of the chart. An alternative label-based display anchored to the chart is also available for those who prefer that format. Trend Persistence Option By default, the regime is recalculated on every bar. An optional persistence mode changes this behavior so that the regime only changes on EMA crossovers. This reduces regime flipping during choppy conditions but may delay regime recognition during gradual trend changes. How to Use Monitor the Money Line color and information panel for current regime. In bullish regimes, focus on buy signals at the lower Donchian band as potential pullback entries. In bearish regimes, focus on sell signals at the upper band as potential short entries or exit points. Use the ADX strength indicator to gauge signal reliability. Signals during trending conditions (blue ADX bar) have historically higher success rates than signals during ranging conditions (orange bar) or weak trends (white bar). Watch BBWP for volatility context. Low BBWP readings suggest a significant move may be developing, while high readings indicate the current move may be overextended. The combination of regime awareness, Donchian breakout signals, and ADX/RSI filtering provides a structured approach to identifying trading opportunities across different market conditions. Settings Guidance The default settings work well for cryptocurrency and forex markets on intraday timeframes. For stocks or longer timeframes, consider increasing the EMA periods and Donchian lookback. The ADX threshold can be adjusted based on the typical ADX range for the traded instrument. The RSI filter levels can be relaxed (higher oversold, lower overbought) for more signals or tightened for higher-quality but less frequent signals. The cooldown period should be adjusted based on timeframe, with shorter timeframes typically requiring longer cooldown periods.
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