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Day Zero Fakeout Detector MTFDay Zero Template (Stacey Burke) Definition: “Day Zero” is essentially the setup day in Stacey Burke’s playbook. It’s the day when the market creates a significant inflection — often forming a Peak Formation High (PFH) or Peak Formation Low (PFL). It usually occurs after 3 days of directional movement (the classic 3-day cycle Stacey teaches). Example: Day 1: Breakout expansion. Day 2: Continuation or consolidation. Day 3: Exhaustion + reversal (forms PFH/PFL). Day Zero: The day after this reversal template begins — where traders start looking for measured moves back inside the range. 👉 Day Zero = the transition day where the new weekly cycle (up or down) begins. 2️⃣ Peak Formation Highs (PFH) and Lows (PFL) A PFH occurs when the market fails above prior highs (often with stop hunts/fakeouts). A PFL occurs when the market fails below prior lows. These PFHs/PFLs mark the anchor points for the next 3-day cycle. Once identified, they become reference levels: Above PFH → fade long traps (short bias). Below PFL → fade short traps (long bias). 👉 This is where rectangles (Peter Brandt style) can come in handy to box in the PFH/PFL area. 3️⃣ Peter L. Brandt – Rectangles & Classical Charting Peter Brandt’s approach (classical charting) complements Stacey’s playbook: Rectangles are consolidation zones (value areas). When a PFH or PFL forms, price often consolidates in a rectangle range. A breakout from that rectangle confirms direction (continuation or reversal). The measured move target is typically the height of the rectangle projected from the breakout point. 👉 Applied to Day Zero: PFH/PFL = the extreme boundary of the rectangle. A breakout from the rectangle in the opposite direction = confirmation of Day Zero reversal. 4️⃣ How They Fit Together Stacey Burke: Focus on intraday cycles, 3-day cycle, Day Zero as the reset after PFH/PFL. Peter Brandt: Focus on classical rectangle consolidation and breakout targets. Integration: Day Zero = when you’ve spotted a PFH or PFL and are preparing for the new cycle to begin. Mark the PFH/PFL → draw a rectangle around the consolidation. Wait for breakout/acceptance beyond rectangle → trade toward measured move (often aligning with Stacey’s Day 1/Day 2 directional bias). ✅ Example in practice: Monday & Tuesday rally → Wednesday exhaustion → PFH forms. Thursday = Day Zero (new short bias starting). Rectangle consolidation forms under PFH. Breakout below rectangle = signal. Target = rectangle height measured down → often aligns with yesterday’s lows or prior session value area.
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Ross-J-Burlandの投稿
XAUUSD Buy/Sell Alerts with SL & TPThis custom TradingView indicator identifies high-probability buy and sell signals on XAUUSD using EMA crossovers combined with RSI confirmation. Designed for precision entries, it automatically calculates optimal Stop Loss (SL) and Take Profit (TP) levels based on user-defined pip distances. Key Features: Fast and Slow EMA crossover for trend direction RSI filter for momentum confirmation Dynamic SL and TP levels to manage risk and reward Visual buy/sell signals plotted on chart Real-time alerts with detailed messages including entry price, SL, and TP Suitable for multiple timeframes and trading styles Perfect for traders seeking clear signals with built-in risk management for scalping or swing trading XAUUSD.
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alexandrossolomou1の投稿
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only) FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100) Short Description Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts. Full Description (meets “originality & usefulness”) What’s original FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow: Flow Pressure (FP) — In-bar directional drive scaled by relative volume. Drive = close − open max ⁡ ( high − low ,  tick ) ∈ = max(high−low, tick) close−open ​ ∈ . Relative Volume = volume average volume over  𝑓 𝑝 𝐿 𝑒 𝑛 = average volume over fpLen volume ​ . 𝐹 𝑃 𝑟 𝑎 𝑤 = Drive × RelVol FP raw ​ =Drive×RelVol then squashed (softsign) to . Why it belongs: distinguishes real pushes (big body and big volume) from noise. Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR. 𝑉 𝑊 𝐴 𝑃 𝑡 = ∑ ( 𝑇 𝑃 × 𝑉 𝑜 𝑙 ) ∑ 𝑉 𝑜 𝑙 VWAP t ​ = ∑Vol ∑(TP×Vol) ​ over vwapLen. Drift = 𝑉 𝑊 𝐴 𝑃 𝑡 − 𝑉 𝑊 𝐴 𝑃 𝑡 − 1 𝐴 𝑇 𝑅 = ATR VWAP t ​ −VWAP t−1 ​ ​ → squashed to . Why it belongs: persistent VWAP movement signals sustained accumulation/distribution. PVT Momentum — Price-Volume Trend standardized (z-score) and squashed. 𝑃 𝑉 𝑇 𝑡 = 𝑃 𝑉 𝑇 𝑡 − 1 + 𝑉 𝑜 𝑙 × Δ 𝐶 𝑙 𝑜 𝑠 𝑒 𝐶 𝑙 𝑜 𝑠 𝑒 𝑡 − 1 PVT t ​ =PVT t−1 ​ +Vol× Close t−1 ​ ΔClose ​ . 𝑧 = 𝑃 𝑉 𝑇 − SMA ( 𝑃 𝑉 𝑇 ) StDev ( 𝑃 𝑉 𝑇 ) z= StDev(PVT) PVT−SMA(PVT) ​ → squashed to . Why it belongs: captures volume-weighted trend pressure without relying on price alone. Composite score: Score = 𝑤 𝐹 𝑃 ⋅ 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 ⋅ 𝑉 𝑊 𝐴 𝑃 _ 𝐷 𝑟 𝑖 𝑓 𝑡 + 𝑤 𝑃 𝑉 𝑇 ⋅ 𝑃 𝑉 𝑇 _ 𝑀 𝑜 𝑚 𝑤 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 + 𝑤 𝑃 𝑉 𝑇 Score= w FP ​ +w VWAP ​ +w PVT ​ w FP ​ ⋅FP+w VWAP ​ ⋅VWAP_Drift+w PVT ​ ⋅PVT_Mom ​ with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones. How it works (step-by-step) Compute FP, VWAP Drift, PVT Momentum. Normalize each to the same scale. Weighted average → FlowFusion Score. Smooth with a Signal line to reduce whipsaw. Optional background shading when Score exceeds thresholds. How to use Direction filter: Score > 0 favors longs; Score < 0 favors shorts. Momentum turns: Score crosses above Signal → setup for long; below → setup for short. Strength zones: Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure. Confluence: Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50. Alerts included: zero cross, zone entries, and Score/Signal crossovers. Inputs (key) fpLen (20): relative-volume lookback for Flow Pressure. vwapLen (34): rolling VWAP window. pvtLen (50): PVT z-score window. sigLen (9): Signal smoothing. Weights: wFP, wVWAP, wPVT to bias the blend. Thresholds: upperBand / lowerBand (defaults +40/−40). Display: toggle component plots and background shading. Best practices Trending markets: increase wVWAP (VWAP Drift) or widen thresholds. Ranging markets: increase wFP and wPVT; take quicker profits. News: wait for bar close confirmation or reduce size. Data quality: use consistent volume feeds (especially in crypto). Limitations Oscillators can stay extreme in strong trends; use structure/trend filters. Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible. Disclaimer This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
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fts4sureの投稿
Secret bubbleSecret bubble Why Might It Be Called "Bubbles"? Although not officially named so, some traders or platforms might refer to Bollinger Bands as "bubbles" because: The bands visually surround the price like a bubble. During low volatility, the bands form a tight "bubble" around price. Breakouts look like the price "popping out" of a bubble. Hence, the nickname "пузырьки" (bubbles) could be a colloquial or visual metaphor for Bollinger Bands in Russian-speaking trading communities. Conclusion While there is no official technical indicator called "Bubbles", the term likely refers to Bollinger Bands due to their visual appearance and function. This powerful tool helps traders assess volatility, spot potential reversals, and time entries and exits. When combined with other analysis methods, Bollinger Bands remain a cornerstone of modern technical trading. 🔧 Tip: You can find Bollinger Bands on almost every trading platform (TradingView, MetaTrader, ThinkorSwim) by searching "Bollinger Bands" in the indicators list.
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SaNtA_1408の投稿
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow. 🟩🟥 Imbalance boxes: “Crowd rushed, gaps left” What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited. Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops. ⏩How to use: Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points. ↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?” What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias. Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns. ⏩How to use: Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering. 🧱Order blocks: “Where big players remember” What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines. Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase. ⏩ How to use: Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry. 📊Volume coloring: “How Volume is move?” What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.” Why it helps: Patterns without volume often fade; volume validates strength and intent of moves. ⏩ How to use: Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip. 🧲 BSL/SSL liquidity pools: “Fishing for stops” What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”). Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location. ⏩ How to use: Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on. 🟢🔴 Advanced liquidity grab: “Catch fakeout” What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically. Why it helps: It exposes trap moves (stop hunts) and often precedes true direction. ⏩ How to use: Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick. 🧠 Smart candlestick patterns (only in right place) What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees. Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal. ⏩ How to use: Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean. 🧭 Dashboard: “Context in a glance” ⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning. ⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction. ⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there. 🧩Step-by-step trading flow (with mindset) ⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation. ⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time. ⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO. ⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume. ⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2. Bearish: mirror above. ⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion. 🎛️ Parameter tuning (to reduce human error) ⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live. ⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%. ⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools. ❌Common mistakes → ✅ Better habits ⏩Chasing every breakout → Wait for sweep/rejection, then confirm. ⏩Ignoring volume → Validate strength; cut size or skip on weak volume. ⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded). ⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance. 📝 checklist (before entry) ⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there? ⏩ Is there a close imbalance/OB that price can retest? ⏩ Do we have an effective pattern plus supportive volume? ⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5? •?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Pine Script® インジケーター
cnagda3の投稿
Indian market session on Gift Nifty chartsGift Nifty Market Session Highlighter This indicator highlights the official Indian market session on Gift Nifty charts — from 9:15 AM to 3:30 PM IST. It shades the background during this time window so traders can instantly identify when the local market is open. Features: Marks 9:15 AM to 3:30 PM (IST) session on intraday charts. Adjustable highlight color and transparency. Works seamlessly across lower timeframes (1m, 5m, 15m, etc.). Helps traders align Gift Nifty activity with NSE market hours. Use Cases: Quickly distinguish active market hours from overnight or global sessions. Backtest trading strategies specific to Indian session volatility. Improv e focus on expiry-day setups and intraday opportunities. Disclaimer: This tool is provided for educational and informational purposes only. It is not financial advice, nor does it guarantee trading success. Always do your own research and consult a licensed financial professional before making investment decisions.
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JoanJaganの投稿
Asistente de Barra de Estado ADX // This is an all-in-one indicator designed to visually represent the market environment // based on the G2 (trend-following) and SMOG (reversal/ranging) trading systems. // It replaces the need for a separate ADX indicator. // // FEATURES: // // 1. Multi-Timeframe ADX: // - 5-Minute ADX (Blue Line - The "Referee"): Determines the overall market environment (Trending or Ranging). // - 1-Minute ADX (Yellow Line - The "Trigger"): Measures immediate momentum for trade entries. // // 2. Environment Background Coloring: // The indicator's own background panel changes color to provide an instant signal: // - Green: G2 Bullish Environment (5-min ADX > 25 & Price is Trending Up) // - Red: G2 Bearish Environment (5-min ADX > 25 & Price is Trending Down) // - Gray: Gray Zone (Indecisive/Risky Market, 5-min ADX between 20-25) // - Blue: SMOG Environment (Weak/Ranging Market, 5-min ADX < 20) // // 3. Reference Lines: // Includes horizontal lines at the key 20 and 25 levels for easy reference. // // HOW TO USE: // Use this indicator as the primary tool to decide whether to look for a G2 // (trend-following) or a SMOG (reversal) setup. //
Pine Script® インジケーター
noahveroesの投稿
Globex Trap w/ percentage [SLICKRICK]Globex Trap w/ Percentage Overview The Globex Trap w/ Percentage indicator is a powerful tool designed to help traders identify high-probability trading opportunities by analyzing price action during the Globex (overnight) session and regular trading hours. By combining Globex session ranges with Supply & Demand zones, this indicator highlights potential "trap" areas where significant price reactions may occur. Additionally, it calculates the Globex session range as a percentage of the daily Average True Range (ATR), providing valuable context for assessing market volatility. This indicator is ideal for traders in futures markets or other instruments traded during Globex sessions, offering a visual and analytical edge for spotting key price levels and potential reversals or breakouts. Key Features Globex Session Tracking: Visualizes the high and low of the Globex session (default: 3:00 PM to 6:30 AM PST) with customizable time settings. Displays a semi-transparent box to mark the Globex range, with labels for "Globex High" and "Globex Low." Calculates the Globex range as a percentage of the daily ATR, displayed as a label for quick reference. Supply & Demand Zones: Identifies Supply & Demand zones during regular trading hours (default: 6:00 AM to 8:00 AM PST) with customizable time settings. Draws semi-transparent boxes to highlight these zones, aiding in the identification of key support and resistance areas. Trap Area Identification: Highlights potential trap zones where Globex ranges and Supply & Demand zones overlap, indicating areas where price may reverse or consolidate due to trapped traders. Customizable Settings: Adjust Globex and Supply & Demand session times to suit your trading preferences. Toggle visibility of Globex and Supply & Demand zones independently. Customize box colors for better chart readability. Set the lookback period (default: 10 days) to control how many historical zones are displayed. Configure the ATR length (default: 14) for the percentage calculation. PST Timezone Default: All times are based on Pacific Standard Time (PST) by default, ensuring accurate session tracking for users in this timezone or those aligning with U.S. West Coast market hours. Recommended Usage Timeframes: Best used on 1-hour charts or lower (e.g., 15-minute, 5-minute) for precise entry and exit points. Markets: Optimized for futures (e.g., ES, NQ, CL) and other instruments traded during Globex sessions. Historical Data: Ensure at least 10 days of historical data for optimal visualization of zones. Strategy Integration: Use the indicator to identify potential reversals or breakouts at Globex highs/lows or Supply & Demand zones. The ATR percentage provides context for whether the Globex range is significant relative to typical daily volatility. How It Works Globex Session: Tracks the high and low prices during the user-defined Globex session (default: 3:00 PM to 6:30 AM PST). When the session ends, a box is drawn from the start to the end of the session, capturing the high and low prices. Labels are placed at the midpoint of the session, showing "Globex High," "Globex Low," and the range as a percentage of the daily ATR (e.g., "75.23% of Daily ATR"). Supply & Demand Zones: Tracks the high and low prices during the user-defined regular trading hours (default: 6:00 AM to 8:00 AM PST). Draws a box to mark these zones, which often act as key support or resistance levels. ATR Percentage: Calculates the Globex range (high minus low) and divides it by the daily ATR to express it as a percentage. This metric helps traders gauge whether the overnight price movement is significant compared to the instrument’s typical volatility. Time Handling: Uses PST (UTC-8) for all time calculations, ensuring accurate session timing for users aligning with this timezone. Properly handles overnight sessions that cross midnight, ensuring seamless tracking. Input Settings Globex Session Settings: Show Globex Session: Enable/disable Globex session visualization (default: true). Globex Start/End Time: Set the start and end times for the Globex session (default: 3:00 PM to 6:30 AM PST). Globex Box Color: Customize the color of the Globex session box (default: semi-transparent gray). Supply & Demand Zone Settings: Show Supply & Demand Zone: Enable/disable zone visualization (default: true). Zone Start/End Time: Set the start and end times for Supply & Demand zones (default: 6:00 AM to 8:00 AM PST). Zone Box Color: Customize the color of the zone box (default: semi-transparent aqua). General Settings: Days to Look Back: Number of historical days to display zones (default: 10). ATR Length: Period for calculating the daily ATR (default: 14). Notes All times are in Pacific Standard Time (PST). Adjust the start and end times if your market operates in a different timezone or if you prefer different session windows. The indicator is optimized for instruments with active Globex sessions, such as futures. Results may vary for non-24/5 markets. A typo in the label "Globe Low" (should be "Globex Low") will be corrected in future updates. Ensure your TradingView chart is set to display sufficient historical data to view the full lookback period. Why Use This Indicator? The Globex Trap w/ Percentage indicator provides a unique combination of session-based range analysis, Supply & Demand zone identification, and volatility context via the ATR percentage. Whether you’re a day trader, swing trader, or scalper, this tool helps you: Pinpoint key price levels where institutional traders may act. Assess the significance of overnight price movements relative to daily volatility. Identify potential trap zones for high-probability setups. Customize the indicator to fit your trading style and market preferences.
Pine Script® インジケーター
slickrick570の投稿
ORB Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low. 🔧 Features: *Customizable session time (start and end), adjustable to local time using a timezone offset. *Automatically plots: *A shaded box around the session's high and low. *Horizontal lines at session high and low levels. *Optional "BUY"/"SELL" labels to mark breakout directions. *Visual breakout signals when price crosses above or below the session range. *Built-in alerts to notify when breakouts occur. *Configurable styling options including box color, highlight color, and label placement. ⚙️ How It Works: *During the defined time range, the script tracks the highest high and lowest low. *After the session ends: *A box is drawn to represent the opening range. *Breakouts above the high or below the low trigger visual markers and optional alerts. *Alerts are limited to one per direction per day to reduce noise. ⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
Pine Script® インジケーター
row004の投稿
1
HorizonSigma Pro [CHE]HorizonSigma Pro Disclaimer Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values. For example, what do “UP 61%” and “DOWN 21%” mean? “UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise. Part 1 — Scientific description Objective. The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel. Data and labeling. For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed. Feature engineering. The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver). Weighting and learning. Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries. Scoring and probability mapping. The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability. Decision policy. Two modes are supported: - Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral. - Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short. Repaint protection. All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats. Calibration. An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability. Evaluation metrics. The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme. Visualization. On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition. Computational properties. The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits. Assumptions and limitations. The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance. Part 2 — Trader‑facing description What it does. This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility. How to set it up. 1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point. 2) Pick a feature mode. - components: granular and fast to adapt when leadership rotates between signals. - super: cleaner single driver; less noise, slightly slower to react. 3) Decide how signals are triggered. - Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves. - Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift. 4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes. 5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns. 6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise. Reading the stats table. - Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point. - Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time. - Profit Factor, Net Return, Exposure: quick triage of tradability and signal density. - Average Return by Side: sanity‑check that the long and short calls each pull their weight. Typical adjustments. - Too many trades? Increase the neutral band or raise the z‑threshold. - Missing the move? Tighten the band, or switch to components mode to react faster. - Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on. - Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon. Execution and risk. - Size positions by volatility (ATR‑based sizing works well). - Enter on confirmed values; use intrabar previews only as early signals. - Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant. What it is not. Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety. Suggested defaults (robust starting point). - Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200. - Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation. - Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start. - ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3. - Confidence setting equivalent to about 95%. Disclaimer No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Pine Script® インジケーター
chervolinoの投稿
Untouched ExtremesWhat it is Untouched Extremes plots horizontal levels at green-candle highs and red-candle lows. Each level is considered “untouched” (clean liquidity) until price revisits it; on the first valid touch the line auto-deletes, keeping only live targets on your chart. How it works (logic) Bar close event If close > open, the script draws a line at that bar’s high and extends it to the right. If close < open, it draws a line at that bar’s low and extends it to the right. (Optional) Perfect/almost-dojis can be classified as green or red via settings. Touch & removal A green-high line is removed when any later bar’s high ≥ level (optionally within a tick tolerance). A red-low line is removed when any later bar’s low ≤ level (optionally within a tick tolerance). You can delay deletion by N bars to make the touch visible before the line disappears. Housekeeping Maximum active lines per side and line styling are user-configurable. Why it’s useful Untouched highs/lows often coincide with resting liquidity and incomplete price probes. Tracking them helps: Define targets and magnets price may seek. Frame mean-reversion rotations after a failed push. Keep the chart clean: only levels that have not been traded are displayed. How to use it (trading idea) Confirmation rule: Treat the line as a level/zone. Price can pierce it; wait for a clear reversal candle pattern (e.g., pin bar, engulfing, strong momentum shift) at or immediately after the touch. Directional play: If a bullish reversal pattern forms at/around a red-low line, the working assumption is that price will move toward the first untouched upper line (nearest green-high line above). Many traders use that as the primary target. Conversely, if a bearish reversal pattern forms at/around a green-high line, expect rotation toward the first untouched lower line. Risk management: Stops typically go just beyond the level or beyond the pattern’s wick. Consider a fixed R:R (e.g., 1:2) and partials at intermediate levels. Settings Doji handling: Choose how to classify close ≈ open bars (Green / Red / Ignore). A small equality margin (ticks) helps with rounding on some symbols. Touch tolerance (ticks): Counts near-misses as touches if desired. Deletion delay (bars): Wait N bars after creation before a line becomes eligible for deletion. Max lines per side / width / colors: Keep the view readable. Tips Works on any symbol/timeframe; lower TFs produce more levels—adjust Max lines accordingly. Combining with a trend filter (e.g., EMA-200), ATR distance, or volume clues can improve selectivity. If spreads or wicks are noisy, increase tolerance slightly and/or use deletion delay to visualize touches. Note: This tool provides structure and potential targets, not signals by itself. Always require your reversal pattern as confirmation and manage risk appropriately.
Pine Script® インジケーター
BullBearSRの投稿
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner** The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through. **What It Does** - **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry. - **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry. - A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference. - Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning. **How It Works** The indicator analyzes each candlestick’s high, low, and close relative to the previous candle: - Failed 2-Up: `low > low `, `high > high `, `close < open`. - Failed 2-Down: `high < high `, `low < low `, `close > open`. When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system. **How to Use** 1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily). 2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles. 3. Check the top-right table for the latest signal and ticker. 4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app). 5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies. **Originality** Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology. **Ideal For** Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
Pine Script® インジケーター
SmartGatorTraderの投稿
Daily Start Vertical Lines (≤1H)This indicator automatically plots vertical lines at the start of each new trading day, based on the selected chart’s timezone. Unlike the default daily session boundaries (which often start at 17:00 New York time), this tool ensures that lines are drawn precisely at 00:00 midnight of the chart’s timezone. 🔹 Features: Plots a vertical line at every new day start (midnight). Fully time-zone aware → lines adjust automatically when you change the chart’s timezone. Customizable line style, width, and color. Option to limit plotting to specific timeframes (e.g., show only on ≤ 1H charts). Lightweight & optimized (does not clutter higher-timeframe charts). 🔹 Use Cases: Quickly identify daily boundaries for intraday analysis. Helps scalpers and day traders align trades with new day opens. Useful for strategies that depend on daily session resets. This tool is especially helpful for traders who want clarity when working across different time zones.
Pine Script® インジケーター
saqlainmujtabaの投稿
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands Part 1 — Mathematics and Algorithmic Design Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals. Data pipeline. 1. Choose a source (default `close`; MTF optional via `request.security`). 2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$. 3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists). 4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer. 5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline). 6. Smooth levels with a short EMA for readability. Rolling quantiles. Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate: * Buy band $\approx Q(q)$ * Sell band $\approx Q(1-q)$ * Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$ Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead. Residual transform (optional). In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price. Volatility-adaptive percentile. Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is: Smoothing. Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals. Latched state machines. Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset: * BUY latch: (1) HLC3 crosses above the median → (2) the median is rising → (3) HLC3 prints above the upper (orange) band → BUY latched. * SELL latch: (1) HLC3 crosses below the median → (2) the median is falling → (3) HLC3 prints below the lower (teal) band → SELL latched. Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn. MTF behavior and repainting. MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability. Complexity and parameters. Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$. Part 2 — Practical Use for Discretionary/Active Traders What the bands mean in practice. The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts. Two core playbooks. 1. Mean-reversion around a stable median. * Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging. * Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up. * Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry. * Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop. * Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down. 2. Continuation with latched confirmations. * Context: A developing trend where you want fewer but cleaner signals. * Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation. * Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum. * Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple. Parameter guidance by timeframe. * Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise. * Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6. * Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4. Baseline choice. Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands. How to time entries. Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size. Risk management. Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution. Combos and filters. * Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median). * Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation). * Volume or session filters (e.g., avoid illiquid hours) can materially improve execution. Alerts for discretion. Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise. Common pitfalls. Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops. A concise checklist. 1. Is the median flat (range) or sloped (trend)? 2. Is band width expanding or contracting vs ATR? 3. Are we near the tail level aligned with the intended trade? 4. For continuation: did the 3 steps for a latched signal complete? 5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)? 6. Are you trading during liquid hours for the instrument? Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries. Disclaimer No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Pine Script® インジケーター
chervolinoの投稿