Inizia

Pattern grafici

Recovery StrategyDescription: The Recovery Strategy is a long-only trading system designed to capitalize on significant price drops from recent highs. It enters a position when the price falls 10% or more from the highest high over a 6-month lookback period and adds positions on further 2% drops, up to a maximum of 5 positions. Each trade is held for 6 months before exiting, regardless of profit or loss. The strategy uses margin to amplify position sizes, with a default leverage of 5:1 (20% margin requirement). All key parameters are customizable via inputs, allowing flexibility for different assets and timeframes. Visual markers indicate recent highs for reference. How It Works: Entry: Buys when the closing price drops 10% or more from the recent high (highest high in the lookback period, default 126 bars ~6 months). If already in a position, additional buys occur on further 2% drops (e.g., 12%, 14%, 16%, 18%), up to 5 positions (pyramiding). Exit: Each trade exits after its own holding period (default 126 bars ~6 months), regardless of profit or loss. No stop loss or take-profit is used. Margin: Uses leverage to control larger positions (default 20% margin, 5:1 leverage). The order size is a percentage of equity (default 100%), adjustable via inputs. Visualization: Displays blue markers (without text) at new recent highs to highlight reference levels. Inputs: Lookback Period for High Peak (bars): Number of bars to look back for the recent high (default: 126, ~6 months on daily charts). Initial Drop Percentage to Buy (%): Percentage drop from recent high to trigger the first buy (default: 10.0%). Additional Drop Percentage to Buy (%): Further drop percentage to add positions (default: 2.0%). Holding Period (bars): Number of bars to hold each position before selling (default: 126, ~6 months). Order Size (% of Equity): Percentage of equity used per trade (default: 100%). Margin for Long Positions (%): Percentage of position value covered by equity (default: 20%, equivalent to 5:1 leverage). Usage: Timeframe: Designed for daily charts (126 bars ~6 months). Adjust Lookback Period and Holding Period for other timeframes (e.g., 1008 hours for hourly charts, assuming 8 trading hours/day). Assets: Suitable for stocks, ETFs, or other assets with significant price volatility. Test thoroughly on your chosen asset. Settings: Customize inputs in the strategy settings to match your risk tolerance and market conditions. For example, lower Margin for Long Positions (e.g., to 10% for 10:1 leverage) to increase position sizes, but beware of higher risk. Backtesting: Use TradingView’s Strategy Tester to evaluate performance. Check the “List of Trades” for skipped trades due to insufficient equity or margin requirements. Risks and Considerations: No Stop Loss: The strategy holds trades for the full 6 months without a stop loss, exposing it to significant drawdowns in prolonged downtrends. Margin Risk: Leverage (default 5:1) amplifies both profits and losses. Ensure sufficient equity to cover margin requirements to avoid skipped trades or simulated margin calls. Pyramiding: Up to 5 positions can be open simultaneously, increasing exposure. Adjust pyramiding in the code if fewer positions are desired (e.g., change to pyramiding=3). Market Conditions: Performance depends on price drops and recoveries. Test on historical data to assess effectiveness in your market. Broker Emulator: TradingView’s paper trading simulates margin but does not execute real margin trading. Results may differ in live trading due to broker-specific margin rules. How to Use: Add the strategy to your chart in TradingView. Adjust input parameters in the settings panel to suit your asset, timeframe, and risk preferences. Run a backtest in the Strategy Tester to evaluate performance. Monitor open positions and margin levels in the Trading Panel to manage risk. For live trading, consult your broker’s margin requirements and leverage policies, as TradingView’s simulation may not match real-world conditions. Disclaimer: This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk, especially with leverage and no stop loss. Always backtest thoroughly and consult a financial advisor before using any strategy in live trading.
Strategia Pine Script®
di tanmaychess
Kalman Sigmoid Z-score | SurgeQuantTitle: Kalman Sigmoid Z-score Indicator The Kalman Sigmoid Z-score indicator is a sophisticated tool designed to identify market momentum and potential trend changes using a combination of Kalman filtering, sigmoid-weighted averaging, and Z-score calculations. By processing price data through a Kalman filter and applying adaptive sigmoid weighting, this indicator provides clear visual signals for bullish and bearish market conditions. The Z-score output and price bars are dynamically colored to highlight momentum shifts, aiding traders in identifying potential trading opportunities. How It Works Kalman Filter Calculation Computes a smoothed price series using a Kalman filter based on a user-selected price source (Close, High, Low, or Open) with configurable parameters for process noise, measurement noise, and filter order (default: 3). The Kalman filter reduces noise in the price data, providing a stable foundation for further analysis. Sigmoid-Weighted Averaging Applies a sigmoid function to calculate adaptive weights based on price comparisons over a user-defined lookback period (default: 10). Weights are adjusted dynamically using a volatility ratio (standard deviation over ATR) to account for market conditions, enhancing signal reliability. Z-score Calculation Calculates the Z-score of the Kalman-filtered price relative to a sigmoid-weighted moving average over a user-defined period (default: 20). Bullish Signal: Triggered when the Z-score crosses above 0, indicating potential upward momentum. Bearish Signal: Triggered when the Z-score crosses below 0, indicating potential downward momentum. Visual Representation The indicator provides a clear and customizable visual interface: Z-score Histogram: Displayed as colored columns, with distinct colors for bullish (Z-score > 0) and bearish (Z-score < 0) conditions. Bright green (#4DFFBE) for rising Z-score above 0. Light green (#56DFCF) for falling Z-score above 0. Dark purple (#AE75DA) for falling Z-score below 0. Light purple (#4D2D8C) for rising Z-score below 0. Price Bar Coloring: Synchronizes with the Z-score colors to reflect momentum on the main chart. Reference Line: A zero line is plotted on the Z-score panel for easy reference. Customization & Parameters The Kalman Sigmoid Z-score indicator offers flexible parameters to suit various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open). Lookback Period: Set the period for sigmoid weight calculations (default: 10). Volatility Period: Adjust the period for volatility ratio calculation (default: 30). Base Steepness: Control the sigmoid function’s sensitivity (default: 5). Base Midpoint: Set the sigmoid function’s midpoint (default: 0.01). Z-score Period: Define the period for Z-score calculation (default: 20). Kalman Parameters: Process Noise (default: 0.01). Measurement Noise (default: 3). Filter Order (default: 3). Color Settings: Predefined colors with distinct shades for bullish and bearish states, ensuring clear visual differentiation. Trading Applications This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong bullish or bearish momentum for potential entry or exit points based on Z-score crossings. Trend Confirmation: Use bar coloring to confirm Z-score signals with price action on the main chart. Reversal Detection: Identify potential reversals when the Z-score crosses the zero line. Scalping and Swing Trading: Adjust parameters (e.g., lookback, Z-score period) to suit short-term or longer-term strategies. Final Note The Kalman Sigmoid Z-score indicator is a powerful tool for traders seeking to leverage advanced filtering and statistical analysis for momentum and trend-based opportunities. Its combination of Kalman-filtered price smoothing, sigmoid-weighted averaging, dynamic Z-score signals, and synchronized bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results. This indicator is provided for educational and informational purposes and should not be considered financial advice.
Indicatore Pine Script®
di SurgeQuant
LP Sweep / Reclaim & Breakout Grading: Long-onlySignals 1) LP Sweep & Reclaim (mean-reversion entry) Compute LP bounds from prior-bar window extremes: lpLL_prev = lowest low of the last N bars (offset 1). lpHH_prev = highest high of the last N bars (offset 1). Sweep long trigger: current low dips below lpLL_prev and closes back above it. Real-time quality grading (A/B/C) for sweep: Trend filter & slope via EMA(88). BOS bonus: close > last confirmed swing high. Body size vs ATR, location above a long EMA, headroom to swing high (penalty if too close), and multi-sweep count bonus. Sum → score → grade A/B/C; A or B required for sweep entry. 2) Trend Breakout (momentum entry) Core trigger: close > previous Donchian high (length boLen) + ATR buffer. Optional filter: close must be above the default EMA. Breakout grading (A/B/C) in real time combining: Trend up (price > EMA and EMA rising), Body/ATR, Gap above breakout level (in ATR), Volume vs MA, Upper-wick penalty, Position-in-Score: headroom to last swing high (penalty if too near) + EMA slope bonus. Sum → score → A or B required if grading enabled.
Strategia Pine Script®
di Shihyuuu
NDOG & NWOG - Liquidity + Sunday Box rroielDescription: This script combines NDOG & NWOG liquidity levels with a Sunday Box framework to provide traders with structured levels for weekly bias, liquidity mapping, and potential entry/exit zones. Features: • Automatic plotting of NDOG & NWOG liquidity zones. • Sunday Box (weekly open range) drawn to define structure and bias. • Highlights liquidity sweeps and retests for trade confirmation. • Configurable settings for box time, liquidity range, and display options. • Built to support ROI/EL strategies by aligning liquidity with weekly key levels. Use Case: Helps traders identify where price is likely to react by combining liquidity-based zones with the Sunday box framework. Designed for clarity, confluence, and efficiency in execution.
Indicatore Pine Script®
di rroiel
Trend FriendTrend Friend — What it is and how to use it I built Trend Friend to stop redrawing the same trendlines all day. It automatically connects confirmed swing points (fractals) and keeps the most relevant lines in front of you. The goal: give you clean, actionable structure without the guesswork. What it does (in plain English) Finds swing highs/lows using a Fractal Period you choose. Draws auto-trendlines between the two most recent confirmed highs and the two most recent confirmed lows. Colours by intent: Lines drawn from highs (potential resistance / bearish) = Red Lines drawn from lows (potential support / bullish) = Green Keeps the chart tidy: The newest lines are styled as “recent,” older lines are dimmed as “historical,” and it prunes anything beyond your chosen limit. Optional crosses & alerts: You can highlight when price closes across the most recent line and set alerts for new lines formed and upper/lower line crosses. Structure labels: It tags HH, LH, HL, LL at the swing points, so you can quickly read trend/rotation. How it works (under the hood) A “fractal” here is a confirmed pivot: the highest high (or lowest low) with n bars on each side. That means pivots only confirm after n bars, so signals are cleaner and less noisy. When a new pivot prints, the script connects it to the prior pivot of the same type (high→high, low→low). That gives you one “bearish” line from highs and one “bullish” line from lows. The newest line is marked as recent (brighter), and the previous recent line becomes historical (dimmed). You can keep as many pairs as you want, but I usually keep it tight. Inputs you’ll actually use Fractal Period (n): this is the big one. It controls how swingy/strict the pivots are. Lower n → more swings, more lines (faster, noisier) Higher n → fewer swings, cleaner lines (slower, swing-trade friendly) Max pair of lines: how many pairs (up+down) to keep on the chart. 1–3 is a sweet spot. Extend: extend lines Right (my default) or Both ways if you like the context. Line widths & colours: recent vs. historical are separate so you can make the active lines pop. Show crosses: toggle the X markers when price crosses a line. I turn this on when I’m actively hunting breakouts/retests. Reading the chart Red lines (from highs): I treat these as potential resistance. A clean break + hold above a red line often flips me from “fade” to “follow.” Green lines (from lows): Potential support. Same idea in reverse: break + hold below and I stop buying dips until I see structure reclaim. HH / LH / HL / LL dots: quick read on structure. HH/HL bias = uptrend continuation potential LH/LL bias = downtrend continuation potential Mixed prints = rotation/chop—tighten risk or wait for clarity. My H1 guidance (fine-tuning Fractal Period) If you’re mainly on H1 (my use case), tune like this: Fast / aggressive: n = 6–8 (lots of signals, good for momentum days; more chop risk) Balanced (recommended): n = 9–12 (keeps lines meaningful but responsive) Slow / swing focus: n = 13–21 (filters noise; better for trend days and higher-TF confluence) Rule of thumb: if you’re getting too many touches and whipsaws, increase n. If you’re late to obvious breaks, decrease n. How I trade it (example workflow) Pick your n for the session (H1: start at 9–12). Mark the recent red & green lines. That’s your immediate structure. Look for interaction: Rejections from a line = fade potential back into the range. Break + close across a line = watch the retest for continuation. Confirm with context: session bias, HTF structure, and your own tools (VWAP, RSI, volume, FVG/OB, etc.). Plan the trade: enter on retest or reclaim, stop beyond the line/last swing, target the opposite side or next structure. Alerts (set and forget) “New trendline formed” — fires when a new high/low pivot confirms and a fresh line is drawn. “Upper/lower trendline crossed” — fires when price crosses the most recent red/green line. Use these to track structure shifts without staring at the screen. Good to know (honest limitations) Confirmation lag: pivots need n bars on both sides, so signals arrive after the swing confirms. That’s by design—less noise, fewer fake lines. Lines update as structure evolves: when a new pivot forms, the previous “recent” line becomes “historical,” and older ones can be removed based on your max setting. Not an auto trendline crystal ball: it won’t predict which line holds or breaks—it just keeps the most relevant structure clean and up to date. Final notes Works on any timeframe; I built it with H1 in mind and scale to H4/D1 by increasing n. Pairs nicely with session tools and VWAP for intraday, or with supply/demand / FVGs for swing planning. Risk first: lines are structure, not guarantees. Manage position size and stops as usual. Not financial advice. Trade your plan. Stay nimble.
Indicatore Pine Script®
di OakleyJM
1
MA20 & MA50 RisingMA20 & MA50 Rising Scanner Detects when both the 20-period and 50-period simple moving averages turn upward on the most recent bar. Designed as a lightweight screener column for TradingView’s watchlists. Overview This indicator plots a binary flag (0 or 1) per symbol, where - 1 means SMA(20) > SMA(20) and SMA(50) > SMA(50) - 0 means one or both moving averages did not rise Add it as a custom column in your watchlist to instantly surface stocks with both short- and medium-term trend acceleration. How It Works - Calculates ma20 = simple moving average of the last 20 closes - Calculates ma50 = simple moving average of the last 50 closes - Compares each with its prior value (ma20 and ma50 ) - Sets flag to 1 only when both are higher than yesterday’s values When you filter your watchlist for flag == 1, you see only symbols whose 20- and 50-period SMAs both rose on the latest bar.
Indicatore Pine Script®
di tkw001
Transformer Flux DashboardHere’s a practical guide to what your Transformer Flux Dashboard does and how to use it. What it is A compact, two-column trading dashboard + signal pack that blends trend, MACD, and OBV into one view (“Flux Score”) and adds session awareness (pre-sessions and main sessions in Eastern time). It’s designed for regular candles by default and avoids repaint by letting you confirm on bar close. Core pieces it calculates Moving Averages Two MAs: Fast (HMA/EMA) and Slow (HMA/EMA). You choose length, line width, color, and transparency. Trend engine (Strict/Lenient) Uses the relation between Fast/Slow MA and a debounced fast-MA slope filter (slope > ATR×buffer). Strict: requires fast>slow and slow rising (or the inverse for down). Lenient: fast>slow or slow rising (or the inverse). A confirmation window (bars) must hold true before trend flips. That window can be auto-tuned by session (Asia/London/NY) or set globally. OBV confirmation (optional) OBV smoothed by SMA; needs to be rising/falling for N bars (also session-aware if you enable presets). MACD Standard MACD Fast/Slow/Signal; the dashboard shows Bull ▲, Bear ▼ or Flat based on line vs signal. Flux Score (top row) A composite, smoothed gauge from 0–100: 40% Trend, 30% MACD, 30% OBV → EMA(3) smoothed. Labels: Bullish ≥ 70, Bearish ≤ 30, otherwise Neutral. Summary line explains why (e.g., “MACD↑, OBV↑, Trend up”). Sessions & zones (Eastern/NY time) Recognizes Asia / London / New York main sessions and pre-sessions using your chart’s Eastern time. Session label (top of chart): text is white; background auto-matches the current session color (or your manual color). Zone backgrounds (optional): off by default; when on, default transparency ≈ 95% (very light), with separate colors for each session and pre-session. A toggle lets you draw pre-session on top or beneath main sessions. Signals & markers Two strength tiers: Strong (Trend + OBV + MACD aligned) and Weak (2 of the 3 agree). To reduce clutter, markers only appear on direction shifts (from last visible direction to a new one), and you can enforce a minimum bar gap. Marker style: Default Icons with LabelUp/LabelDown (tiny). Colors: strong long = bright white by default; others configurable. Weak markers are slightly offset from price using ATR so they don’t overlap wicks. Dashboard (2-column) Left column = label, right column = value: Flux Score: numeric + Bullish/Neutral/Bearish tag. Summary: short reason of the score. Trend: UP / DOWN / FLAT (cell tinted green/red/gray). MACD: Bull ▲ / Bear ▼ / Flat (tinted). Signal: last printed signal + bar age (fresh signals get a lighter tint). MA: slow MA type/length and up/down arrow. Sess: current session label (e.g., “Pre-London”, “New York”). VIX / VXN (optional): shows current value. Auto tint: based on calm/watch/elevated thresholds (you control levels and colors). Manual tint: fixed BG color if you prefer consistency. Params: “P”=trend bars, “O”=OBV bars, mode (Strict/Lenient), and “Candles”. You can set a global Default Transparency for the dashboard cells. Key settings to know Confirm On Close: when on (default), trend/OBV/MACD states use the last confirmed bar; this avoids mid-bar flicker and reduces repaint risk. Session presets: when enabled, the number of bars required for confirmations tightens/loosens per session (e.g., Asia uses more bars than NY). Colors & Opacity: MA lines have their own transparency (default 0 = fully opaque). Dashboard cells use a single global transparency (default 40%). Session zones default to very light (95%) and are off by default. VIX/VXN cells can auto-color by regime or use a manual background. Markers: “Icons” vs “Ticks.” Default is Icons with tiny labels up/down. “Shift only” display reduces noise; you can also set min bar spacing. How to read it (quick workflow) Flux Score row: a fast “risk-on/off” gauge. ≥70 with green Trend/MACD cells → higher-conviction long context. ≤30 with red Trend/MACD cells → higher-conviction short context. Summary explains why the score is what it is. Signal row: tells you the last official signal and how many bars ago it fired. Fresh signals tint lighter. MA row: aligns your slow baseline; arrow helps spot slow-turns early. Sess row + label: know which market is active; behavior and your confirmation bars adapt by session if presets are on. VIX/VXN (if enabled): extra context for risk regime (values and color band). Good practices & caveats It’s confirmation-based to reduce false flips; you’ll get signals slightly later, by design. All signals are informational; there’s no position management or stops in this build (we removed the stop visuals by request). If you switch to exotic chart types or extreme resolutions, re-tune lengths and confirmation bars (and potentially disable session presets). For scalping, consider reducing confirmation bars and OBV smoothing; for higher timeframes, increase them. Quick customization ideas Want faster flips? Lower confirmBars and obvBars, increase slope buffer a bit to retain quality. Want fewer weak signals? Show only strong markers (toggle off weak via colors/visibility or increase min bar gap). Prefer EMA stacking? Set both Fast/Slow to EMA. Don’t care about OBV? Turn OBV confirm off; Trend + MACD will drive
Indicatore Pine Script®
di inkadinka_ka
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Indicatore Pine Script®
di aiTrendview-Charting-System
Pattern ScannerUltimate Pattern Scanner — multi-timeframe candlestick discovery tool (educational use only). Purpose: This script scans user-selected timeframes for classical candlestick patterns (for example: engulfing, morning/evening stars, hammers, dojis, tasuki gaps, three soldiers/crows, tweezers, marubozu, and others) and reports pattern name, detection price, directional signal (Bull / Bear / Neutral), and a simple volume participation metric. It is intended as an idea-generation and training tool to help traders learn pattern mechanics, not as an automated trading system. Main modules and rationale: 1) Pattern engine — applies classical candle structure rules to detect formations; 2) SMA trend filter (configurable length) — provides a directional bias to favor trade-with-trend setups; 3) Volume heuristic — approximates participation by separating candles into buy-like and sell-like volume and comparing total volume to a moving average; 4) Multi-timeframe aggregator — collects and presents pattern results from multiple timeframes; 5) Alerts — optional alerts list detected patterns and TFs. Combining these modules is intentional: patterns provide structure, SMA provides context, and volume supplies participation confirmation. Together they improve the educational value and practical relevance of each detected pattern. How to use: Choose timeframes and SMA length that match your trading horizon. Use the scanner to locate pattern candidates, then confirm with higher-timeframe agreement and volume ratio before considering trade entry. Use structural stops (recent swing highs/lows or ATR-based stops) and define risk:reward rules. For learning, replay alerted bars and record outcomes over fixed horizons to build empirical statistics. Limitations: Volume classification (close>open) is a heuristic and not a true bid/ask tape. SMA is a lagging trend proxy. Multi-timeframe agreement reduces but does not eliminate false signals, especially around news or in low-liquidity instruments. Use demo accounts and backtesting before live trading. Inputs you can adjust: timeframe list, SMA length, volume MA length, which patterns to enable/disable, display options. Compliance notes: This description explains why modules are combined and what the script does without exposing source code logic; it is non-promotional and contains no contact links. Remove any trademark symbols unless registration details are provided. Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Backtest thoroughly and use proper risk management.
Indicatore Pine Script®
di aiTrendview-Charting-System
3
Smart Money Concepts - (confirmed + ATR + MTF ) ritMaps market structure with confirmed pivots and quantifies SMC events (CHoCH/SMS/BMS) as real-time probabilities. Includes ATR swing-size filter, HTF MA bias gate, and label throttling to cut noise. Shows Premium/Discount/Mid zones and a compact table with Wins/Losses, Profitability, Laplace-smoothed rate, and Wilson confidence band. Optional alerts output ticker, timeframe, and the current probability summary. Designed to be confirmation-based (reduced repaint) and adaptable to any symbol/timeframe.
Indicatore Pine Script®
di yuji52289
Smart Money Concepts - v2 (confirmed + ATR + MTF + smoothing)Maps market structure with confirmed pivots and quantifies SMC events (CHoCH/SMS/BMS) as real-time probabilities. Includes ATR swing-size filter, HTF MA bias gate, and label throttling to cut noise. Shows Premium/Discount/Mid zones and a compact table with Wins/Losses, Profitability, Laplace-smoothed rate, and Wilson confidence band. Optional alerts output ticker, timeframe, and the current probability summary. Designed to be confirmation-based (reduced repaint) and adaptable to any symbol/timeframe.
Indicatore Pine Script®
di yuji52289
Smart Money Concepts Probability (Expo) RitSmart Money Concepts Probability (Expo) — v2 Overview This indicator maps market structure using confirmed swing pivots and quantifies the follow-through of SMC events—CHoCH, SMS, and BMS—as real-time probabilities. It adds robust filters (ATR swing size, multi-timeframe bias) and statistically honest display (Laplace smoothing and Wilson confidence bands) to reduce noise and make the stats you see on the chart closer to what actually plays out. How it works Detects confirmed swing highs/lows with ta.pivothigh/ta.pivotlow. Tracks a structure state machine: bias flips to CHoCH (±1), confirms to SMS (±2), then BMS/continuations (>|±2|). Logs every transition as a success (continuation) or failure (reversion) and computes: Raw Win%, Laplace-smoothed probability, and Wilson confidence interval. Draws Premium/Discount/Mid zones between the latest swing high/low and shows contextual probability labels at the extremes. Filters & Upgrades ATR swing filter: ignores tiny breaks; only counts pivots that exceed a user-set multiple of ATR. MTF bias gate: only allows bullish sequences when price is above an HTF moving average (and vice-versa). Label throttle: minimum bar spacing between plotted events to keep charts readable. Response vs. Period: choose short-term or long-term structure resolution. Outputs & Visuals On-chart labels/lines for CHoCH/SMS/BMS (bull/bear colors). Top-right table with Wins, Losses, Profitability, Laplace p̂, and Wilson CI (with sample-size guard). Probability labels near current Up/Dn extremes. Optional alerts containing ticker, timeframe, and the current probability summary. Using the stats Profitability = all-time raw follow-through rate. Laplace p̂ stabilizes small-N swings. Wilson CI shows a conservative range; the lower bound is a practical “floor.” For best results, align entries with MTF bias, ensure swings pass the ATR filter, and favor entries in Discount (for longs) / Premium (for shorts) when the structure agrees. Notes This is an analytical tool, not a signal service. Always validate on your markets/timeframes and combine with risk management.
Indicatore Pine Script®
di yuji52289