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Vol ForecastEGARCHVol ForecastEGARCH – Volatility Forecast Tool Measuring volatility means not only predicting direction but also understanding the magnitude of risk. Vol ForecastEGARCH brings advanced GARCH-based models into TradingView, projecting volatility directly onto your chart. Features Model Selection: GARCH(1,1), EGARCH(1,1), GJR(1,1) Dynamic Recalibration: Parameters recalibrated every 50 bars. Z-Score Flexibility: Default Z=1.28 (~80% confidence) adjustable by user. Multiple Horizons: 6, 12, 48, and 96 bars ahead forecasts. Visualization: Upper/lower bands plotted with dynamic colors. Mini Panel: Displays α, β, γ/ω parameters and 1-step volatility %. Who Is It For? Short-term traders: Define stop-loss / take-profit levels on a statistical basis. Portfolio managers: Integrate volatility-based risk assessment into allocation decisions. Technical analysts: Align momentum and price action with volatility dynamics. Especially valuable for high-volatility markets like Borsa Istanbul, where understanding risk intensity is as critical as direction.
Wskaźnik Pine Script®
od banyarev
Dynamic Stop Loss Optimizer [BackQuant]Dynamic Stop Loss Optimizer Overview Stop placement decides expectancy. This tool gives you three professional-grade, adaptive stop engines, ATR, Volatility, and Hybrid. So your exits scale with current conditions instead of guessing fixed ticks. It trails intelligently, redraws as the market evolves, and annotates the chart with clean labels/lines and a compact stats table. Pick the engine that fits the trade, or switch on the fly. What it does Calculates three adaptive stops in real time (ATR-based, Volatility-based, and Hybrid) and keeps them trailed as price makes progress. Shows exactly where your risk lives with on-chart levels, color-coded markers (long/short), and precise “Risk %” labels at the current bar. Surfaces context you actually use - current ATR, daily volatility, selected method, and the live stop level—in a tidy, movable table. Fires alerts on stop hits so you can automate exits or journal outcomes without staring at the screen. Why it matters Adaptive risk control: Stops expand in fast tape and tighten in quiet tape. You’re not punished for volatility; you’re aligned with it. Consistency across assets: The same playbook works whether you’re trading indexes, FX, crypto, or equities, because the engine normalizes to each symbol’s behavior. Cleaner decision-making: One chart shows your entry idea and its invalidation in the same breath. If price trespasses, you know it instantly. The three methods (choose your engine) 1) ATR Based “Structure-aware” distance This classic approach keys off Average True Range to set a stop just beyond typical bar-to-bar excursion. It adapts smoothly to changing ranges and respects swing structure. Use when: you want a steady, intuitive buffer that tracks trend legs without hugging price. See it in action: 2) Volatility Based “Behavior-aware” distance This engine derives stop distance from current return volatility (annualized, then scaled back down to the session). It reacts to regime shifts quickly and normalizes risk across symbols with very different prices. Use when: you want the stop to breathe with realized volatility and respond faster to heat-ups/cool-downs. See it in action: 3) Hybrid “Best of both worlds” The Hybrid blends the ATR and Volatility distances into one consensus level, then trails it intelligently. You get the structural common sense of ATR and the regime sensitivity of Vol. Use when: you want robust, all-weather behavior without micromanaging inputs. See it in action: How it trails Longs: The stop ratchets up with favorable movement and holds its ground on shallow pullbacks. If price closes back into the risk zone, the level refreshes to the newest valid distance. Shorts: Mirror logic ratchets down with trend, resists noise, and refreshes if price reclaims the zone. Hybrid trailing: Uses the blended distance and the same “no give-backs” principle to keep gains protected as structure builds. Reading the chart Markers: Circles = ATR stops, Crosses = Vol stops, Diamonds = Hybrid. Colors indicate long (red level under price) vs short (green level above price). Lines: The latest active stop is extended with a dashed line so you can see it at a glance. Labels: “Long SL / Short SL” shows the exact price and current risk % from the last close no math required. Table: ATR value, Daily Vol %, your chosen Method, the Current SL, and Risk %—all in one compact block that you can pin top-left/right/center. Quick workflow Define the idea: Long or Short, and which engine fits the tape (ATR, Vol, or Hybrid). Place and trail: Let the optimizer print the level; trail automatically as the move develops. Manage outcomes: If the line is tagged, you’re out clean. If it holds, you’ve contained heat while giving the trade room to work. Inputs you’ll actually touch Calculation Settings ATR Length / Multiplier: Controls the “structural” cushion. Volatility Length / Multiplier: Controls the “behavioral” cushion. Trading Days: 252 or 365 to keep the volatility math aligned with the asset’s trading calendar. Stop Loss Method ATR Based | Volatility Based | Hybrid : Switch engines instantly to fit the trade. Position Type Long | Short | Both : Show only what you need for the current strategy. Visual Settings Show ATR / Vol / Hybrid Stops: Toggle families on/off. Show Labels: Print price + Risk % at the live stop. Table Position: Park the metrics where you like. Coloring Long/Short/Hybrid colors: Set a palette that matches your theme and stands out on your background. Practical patterns to watch Trend-pullback continuation: The stop ratchets behind higher lows (long) or lower highs (short). If price tests the level and rejects, that’s your risk-defined continuation cue. Break-and-run: After a clean break, the Hybrid will usually sit slightly wider than pure Vol, use it to avoid getting shaken on the first retest. Range compression: When the ATR and Vol distances converge, the table will show small Risk %. That’s your green light to size up with the same dollar risk, or keep it conservative if you expect expansion. Alerts Long Stop Loss Hit : Notifies when price crosses below the live long stop. Short Stop Loss Hit : Notifies when price crosses above the live short stop. Why this feels “set-and-serious” You get a single look that answers three questions in real time: “Where’s my line in the sand?”, “How much heat am I taking right now?”, and “Is this distance appropriate for current conditions?” With ATR, Vol, and Hybrid in one tool, you can run the exact same playbook across symbols and regimes while keeping your chart clean and your risk explicit.
Wskaźnik Pine Script®
od BackQuant
Supertrend DashboardOverview This dashboard is a multi-timeframe technical indicator dashboard based on Supertrend. It combines: Trend detection via Supertrend Momentum via RSI and OBV (volume) Volatility via a basic candle-based metric (bs) Trend strength via ADX Multi-timeframe analysis to see whether the trend is bullish across different timeframes It then displays this info in a table on the chart with colors for quick visual interpretation. 2️⃣ Inputs Dashboard settings: enableDashboard: Toggle the dashboard on/off locationDashboard: Where the table appears (Top right, Bottom left, etc.) sizeDashboard: Text size in the table strategyName: Custom name for the strategy Indicator settings: factor (Supertrend factor): Controls how far the Supertrend lines are from price atrLength: ATR period for Supertrend calculation rsiLength: Period for RSI calculation Visual settings: colorBackground, colorFrame, colorBorder: Control dashboard style 3️⃣ Core Calculations a) Supertrend Supertrend is a trend-following indicator that generates bullish or bearish signals. Logic: Compute ATR (atr = ta.atr(atrLength)) Compute preliminary bands: upperBand = src + factor * atr lowerBand = src - factor * atr Smooth bands to avoid false flips: lowerBand := lowerBand > prevLower or close < prevLower ? lowerBand : prevLower upperBand := upperBand < prevUpper or close > prevUpper ? upperBand : prevUpper Determine direction (bullish / bearish): dir = 1 → bullish dir = -1 → bearish Supertrend line = lowerBand if bullish, upperBand if bearish Output: st → line to plot bull → boolean (true = bullish) b) Buy / Sell Trigger Logic: bull = ta.crossover(close, supertrend) → close crosses above Supertrend → buy signal bear = ta.crossunder(close, supertrend) → close crosses below Supertrend → sell signal trigger → checks which signal was most recent: trigger = ta.barssince(bull) < ta.barssince(bear) ? 1 : 0 1 → Buy 0 → Sell c) RSI (Momentum) rsi = ta.rsi(close, rsiLength) Logic: RSI > 50 → bullish RSI < 50 → bearish d) OBV / Volume Trend (vosc) OBV tracks whether volume is pushing price up or down. Manual calculation (safe for all Pine versions): obv = ta.cum( math.sign( nz(ta.change(close), 0) ) * volume ) vosc = obv - ta.ema(obv, 20) Logic: vosc > 0 → bullish vosc < 0 → bearish e) Volatility (bs) Measures how “volatile” the current candle is: bs = ta.ema(math.abs((open - close) / math.max(high - low, syminfo.mintick) * 100), 3) Higher % → stronger candle moves Displayed on dashboard as a number f) ADX (Trend Strength) = ta.dmi(14, 14) Logic: adx > 20 → Trending adx < 20 → Ranging g) Multi-Timeframe Supertrend Timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 12H, 1D Logic: for tf in timeframes = request.security(syminfo.tickerid, tf, f_supertrend(ohlc4, factor, atrLength)) array.push(tf_bulls, bull_tf ? 1.0 : 0.0) bull_tf ? 1.0 : 0.0 → converts boolean to number Then we calculate user rating: userRating = (sum of bullish timeframes / total timeframes) * 10 0 → Strong Sell, 10 → Strong Buy 4️⃣ Dashboard Table Layout Row Column 0 (Label) Column 1 (Value) 0 Strategy strategyName 1 Technical Rating textFromRating(userRating) (color-coded) 2 Current Signal Buy / Sell (based on last Supertrend crossover) 3 Current Trend Bullish / Bearish (based on Supertrend) 4 Trend Strength bs % 5 Volume vosc → Bullish/Bearish 6 Volatility adx → Trending/Ranging 7 Momentum RSI → Bullish/Bearish 8 Timeframe Trends 📶 Merged cell 9-19 1m → Daily Bullish/Bearish for each timeframe (green/red) 5️⃣ Color Logic Green shades → bullish / trending / buy Red / orange → bearish / weak / sell Yellow → neutral / ranging Example: dashboard_cell_bg(1, 1, colorFromRating(userRating)) dashboard_cell_bg(1, 2, trigger ? color.green : color.red) dashboard_cell_bg(1, 3, superBull ? color.green : color.red) Makes the dashboard visually intuitive 6️⃣ Key Logic Flow Calculate Supertrend on current timeframe Detect buy/sell triggers based on crossover Calculate RSI, OBV, Volatility, ADX Request Supertrend on multiple timeframes → convert to 1/0 Compute user rating (percentage of bullish timeframes) Populate dashboard table with colors and values ✅ The result: You get a compact, fast, multi-timeframe trend dashboard that shows: Current signal (Buy/Sell) Current trend (Bullish/Bearish) Momentum, volatility, and volume cues Trend across multiple timeframes Overall technical rating It’s essentially a full trend-strength scanner directly on your chart.
Wskaźnik Pine Script®
od FuturesCall
1
DashBoard 2.3.1📌 Indicator Name: DashBoard 2.3 – Smart Visual Market Overlay 📋 Description: DashBoard 2.3 is a clean, efficient, and highly informative market overlay, designed to give you real-time context directly on your chart — without distractions. Whether you're swing trading or investing long-term, this tool keeps critical market data at your fingertips. 🔍 Key Features: Symbol + Timeframe + Market Cap Shows the current ticker and timeframe, optionally with real-time market cap. ATR 14 with Volatility Signal Displays ATR with color-coded risk levels: 🟢 Low 🟡 Moderate 🔴 High ⚫️ Extreme You can choose between Daily ATR or timeframe-based ATR (auto-adjusted to chart resolution). Adaptive Labeling The ATR label updates to reflect the resolution: ATR 14d (daily) ATR 14W (weekly) ATR 14H (hourly), etc. Moving Average Tracker Instantly shows whether price is above or below your selected moving average (e.g., 150 MA), with green/red indication. Earnings Countdown Clearly shows how many days remain until the next earnings report. Industry & Sector Info (optional) Useful for thematic or sector-based trading strategies. Fully Customizable UI Choose positioning, padding, font size, and which data to show. Designed for minimalism and clarity. ✅ Smart Logic: Color dots appear only in relevant conditions (e.g., ATR color signals shown only on daily when enabled). ATR display automatically reflects your time frame, if selected. Clean chart integration – the overlay sits quietly in a corner, enhancing your analysis without intruding. 🧠 Ideal for: Swing traders, position traders, and investors who want fast, high-impact insights directly from the chart. Anyone looking for a compact, beautiful, and informative dashboard while they trade.
Wskaźnik Pine Script®
od AdiPlaut
Momentum Standard Deviation | LyroRSMomentum Standard Deviation | LyroRS Overview This indicator is designed to measure market momentum relative to standard deviation envelopes, while offering traders tools for identifying directional bias, valuation extremes, and early signals of potential reversals. By combining momentum with standard deviation analysis, smoothing functions, dynamic coloring, and table-based reporting, the script provides both a detailed and modular approach to momentum-based trading. At its foundation, the indicator calculates momentum from a user-selected source, with optional smoothing applied through a variety of moving average types. Standard deviation is then measured around the momentum line to form upper and lower bands, which represent volatility-adjusted boundaries. These bands help identify whether momentum is overextended or trending strongly in a given direction. Signals are generated when momentum or its deviation bands cross key thresholds, with visual cues, background coloring, and plot shapes highlighting bullish or bearish shifts. A structured table summarizes the state of the system, including momentum trend, deviation trend, early insight conditions, and reversal signals, allowing traders to quickly interpret multiple layers of analysis. Originality In terms of originality, this script unifies momentum and standard deviation into a combined framework, rather than treating them as separate calculations. The ability to smooth source data, momentum, and deviation independently introduces flexibility, making it adaptable across assets and timeframes. Unique visualization features include futuristic-style fills, customizable color palettes, Heikin Ashi–like candle overlays, and dynamic table reporting. Together, these elements create a modular design that not only signals directional bias but also reports on context, such as early momentum flips and overbought/oversold reversals, which are often overlooked by standard momentum tools. Key Features Moving average inputs allow users to choose the calculation source, enable smoothing, select from multiple moving average types, and adjust lengths for smoothing both price and momentum. Momentum settings define the lookback period and allow optional smoothing with user-specified averages. Standard deviation inputs include length, smoothing options, moving average type, and smoothing length, offering control over the sensitivity of volatility envelopes. Display options enable background coloring for early signals, reversal labels, momentum line plotting, and futuristic fills. Color schemes can be chosen from predefined palettes (Classic, Mystic, Accented, Royal) or set manually with custom bullish and bearish colors. Table settings include options for overlaying the table, positioning it anywhere on the chart, and adjusting table size from huge to tiny. Visualization Visualization includes upper and lower deviation bands, a smoothed average line, colored momentum plots, dynamic fills between bands, optional reversal arrows, and background shading for early insight conditions. The integrated table provides a concise breakdown of module states, showing whether deviation and momentum trends are bullish or bearish, whether an early momentum flip is detected, and whether reversals are signaled. Alerts are available for all conditions, including momentum and deviation direction changes, early signals, and bullish or bearish reversals. Summary In summary, the Momentum Standard Deviation indicator blends momentum and volatility analysis into a flexible, multi-layered tool. Its modular structure allows traders to analyze trends, volatility-adjusted overextensions, and early momentum shifts within one framework. With customizable smoothing, advanced visualization, integrated tables, and alert conditions, the indicator provides a structured method of tracking momentum states while remaining adaptable to different market conditions. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Wskaźnik Pine Script®
od LyroRS
2
Volatility Linear Regression Gaussian | Lyro RSVolatility Linear Regression Gaussian | Lyro RS Overview This indicator integrates linear regression analysis, Gaussian filtering, volatility measures, and regime detection into a single momentum and trend framework. Its purpose is to provide traders with a structured perspective on market state by combining smoothed regression signals with volatility envelopes and adaptive visualizations. Through these elements, it offers insights into whether markets are trending, consolidating, overextended, or reverting. The indicator begins by applying a Gaussian filter to the chosen source, smoothing price data while preserving structural characteristics. Around this smoothed signal, volatility measures are introduced using ATR and standard deviation calculations, forming adaptive envelopes that define overbought and oversold conditions. A linear regression of filtered momentum values is then produced, with optional smoothing via multiple moving average types. This core regression signal becomes the basis for trend, strength, and reversal assessments. Users can toggle between Classic or Heikin Ashi display modes, with each mode providing a different representation of regression-driven momentum dynamics. Originality In terms of originality, this script distinguishes itself by unifying several advanced concepts into one modular framework. Gaussian smoothing of the regression base adds flexibility beyond standard linear regression models, while volatility-adjusted ATR bands and dynamic standard deviation envelopes frame regression values within a probabilistic context. The addition of a regime detector further expands utility by classifying the environment as trending or mean-reverting. Combined with Heikin Ashi transformations, multi-mode operation, customizable visualization, and integrated tables, this design enables a single indicator to adapt across multiple strategies, from directional bias to mean reversion and reversal identification. Key Features Linear regression inputs allow traders to choose the price source, regression length, smoothing method, and smoothing length, defining the sensitivity of the regression calculation. Gaussian settings provide control over length and sigma, letting users adjust the degree of smoothing applied to the base signal. Volatility settings define ATR length and factor as well as standard deviation length, tuning the responsiveness of volatility envelopes. The regime detector offers long- or short-term modes, background coloring, and transparency adjustments for identifying structural market states. Standard deviation band settings control whether a zero-line or dynamic midline is used, along with band length and multiplier for overbought/oversold thresholds. Display options include Classic or Heikin Ashi modes, along with operational modes for Trend, Strength, or Reversals. Color schemes can be selected from predefined palettes or fully customized. Table settings allow enabling or disabling the summary table, setting its position, forcing overlay if necessary, and choosing from multiple size options. Visualization The visualization combines dynamic candles, regression curves, standard deviation bands with shaded fills, and optional background colors tied to regime detection. A summary table displays active module states, showing the condition of trend, strength, reversals, and regime at a glance. Alerts are provided for all key conditions across both Classic and Heikin Ashi modes, including directional trend shifts, strength changes, reversal states, and regime classification. Summary In summary, the Volatility Linear Regression Gaussian indicator is a versatile analytical framework built from regression, Gaussian smoothing, volatility envelopes, and regime detection. Its design emphasizes adaptability by offering multiple operational modes, display variations, and alert conditions. By consolidating advanced methods into one unified tool, it supports different analytical approaches within a consistent and customizable structure. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Wskaźnik Pine Script®
od LyroRS
Avg Candle Size (Ticks) – Last 9 Closed BarsWhat it does: Shows the average candle size in ticks for the last N closed bars (defaults to 9). I built this so I can glance at a 5-min chart and instantly know the typical bar size in ticks, updating only after each bar closes (no intrabar wiggle). How it works: Measures each bar’s full range (High–Low), not ATR and not candle body. Averages the last N closed bars, converts to ticks using syminfo.mintick. Displays a simple line plus a small readout (e.g., “32 ticks”). Why I built it: Gives me a realistic sense of current volatility in ticks so I can size stops/targets quickly without doing mental math. Extras: Lookback is configurable (default 9). Optional rounding (floor/nearest/ceil). Works on any timeframe/instrument that has a defined tick size. If you want it to match ATR exactly (in ticks), swap the range calc for ta.atr(len) / syminfo.mintick
Wskaźnik Pine Script®
od BenjaminSamElliott
Flux Power Dashboard (Updated and Renamed)Flux Power Dashboard is a compact market-state heads-up display for TradingView. It blends trend, momentum, and volume-flow into a single on-chart panel with color-coded cues and minimal lag. You get: Clean visual trend via fast/slow MA with slope/debounce filters MACD state and most recent cross (with “freshness” tint) OBV confirmation and gating to reduce noise Session awareness (Asia/London/New York + pre-sessions + overlap) Optional HTF Regime row and regime gate to align signals to higher-timeframe bias Context from VIX/VXN (volatility regime) A single Flux Score (0–100) as a top-level read It is deliberately “dashboard-first”: fast to read, consistent between symbols/timeframes, and designed to limit overtrading in chop. What it can do (capabilities) Signal gating: You can require multiple pillars to agree (Trend, MACD, OBV) before a “strong” bias is shown. Debounced trend: Uses slope + confirmation bars to avoid flip-flopping. Session presets: Auto-adjust the minimum confirmation bars by session (e.g., NY vs London vs Asia) to better match liquidity/volatility. MACD presets: Quick switch between Scalp / Classic / Slow or roll your own custom speeds. OBV confirmation: Volume flow must agree for trend/entries to “count” (optional). HTF Regime awareness: Shows the higher-timeframe backdrop and (optionally) gates signals so you don’t fight the dominant trend. Volatility context: VIX/VXN auto-colored cells based on your thresholds. Top-center Session Title: Broadcasts the active session (or Overlap) with a matched background color. Customizable UI: Column fonts, params font, transparency, dashboard corner, marker styles, colors, widths—tune it to your chart. Practical use: Start with Flux Score + Summary for a snapshot, confirm with Trend & MACD, check OBV agreement (implicit in signal strength), glance at Regime to avoid counter-trend trades, and use Session + VIX/VXN for timing and risk context. How it avoids common pitfalls Repaint-aware: “Confirm on Close” can be enabled to read prior bar states, reducing intrabar noise. Auto MA sanity: If fast ≥ slow length, it auto-swaps under the hood to keep calculations valid. Debounce & confirm: Trend flips only after X bars satisfy conditions, cutting false flips in chop. Freshness tint: New Cross/Signal rows tint slightly brighter for a few bars, so you can spot recency at a glance. Every line of the dashboard (what it shows, how it’s colored) Flux Score What: Composite 0–100 built from three pillars: Trend (40%), MACD (30%), OBV (30%). Read: ≥70 Bullish, ≤30 Bearish, else Neutral. Use: Quick “state of play” gauge—stronger alignment pushes the score toward extremes. Regime (optional row) What: Higher-timeframe (your Regime TF) backdrop using the same MA pair with HTF slope/ATR buffer. Values: Bull / Bear / Range. Gate (optional): If Regime Gate is ON, Trend/Signals only go directional when HTF agrees. Summary What: One-line narrative combining the three pillars: MACD (up/down/flat), OBV (up/down/flat), Trend (up/down/flat). Use: Human-readable cross-check; should rhyme with Flux Score. Trend What: Debounced MA relationship on the current chart. Strict: needs fast > slow and slow rising (mirror for down) + slope debounce + confirmation bars. Lenient: allows fast > slow or slow rising (mirror for down) with the same debounce/confirm. Color: Green = UP, Red = DOWN, Gray = FLAT. Use: Your structural bias on the trading timeframe. MACD What: Current MACD line vs signal, using your selected preset (or custom). Values: Bull (line above), Bear (below), Flat (equal/indeterminate). Color: Green/Red/Gray. Cross What: Most recent MACD cross and how many bars ago it occurred (e.g., “MACD XUP | 3 bars”). Freshness: If the cross happened within Fresh Signal Tint bars, the cell brightens slightly. Use: Timing helper for inflection points. Signal What: Latest directional shift (from short-bias to long-bias or vice versa) and age in bars. Strength: Strong = Trend + MACD + OBV all align Weak = partial alignment (e.g., Trend + MACD, or Trend + OBV) Color: Green for long bias, Red for short bias; fresh signals tint brighter. Use: Action cue—treat Strong as higher quality; Weak as situational. MA What: Your slow MA type and length, plus slope direction (“up”/“down”). Use: Context even when Trend is FLAT; slope often turns before full trend flips. Session What: Current market session by Eastern Time: New York / London / Asia, Pre- windows, Overlap, or Off-hours. Logic: If ≥2 main sessions are active, shows Overlap (and grays the top title background). Use: Timing and expectations for liquidity/volatility; also drives session-based confirmation presets if enabled. VIX What: Real-time CBOE:VIX on your chosen TF. Auto-color (if on): Calm (< Calm) → Green Watch (< Watch) → Yellow Elevated (< Elevated) → Orange Very High (≥ Elevated) → Red Use: Equity market–wide risk mood; higher = bigger moves, lower = quieter. VXN What: CBOE:VXN (Nasdaq volatility index) on your chosen TF. Auto-color thresholds like VIX. Use: Tech-heavy risk mood; helpful for growth/QQQ/NDX names. Footer (params row, bottom-right) What: Key live settings so you always know the context: P= Trend Confirmation Bars O= OBV Confirmation Bars Strict/Lenient (trend mode) MACD preset (or “Custom”) swap if MA lengths were auto-swapped for validity Regime gate if enabled Candles for clarity Use: Quick integrity check when comparing charts/screenshots or changing presets. Recommended workflow Start at Flux Score & Summary → snapshot of alignment. Check Trend (color) and MACD (Bull/Bear). Look at Signal (Strong vs Weak, and age). Glance at Regime (and use gate if you’re trend-following). Use Session + VIX/VXN to adjust expectations (breakout vs mean-revert, risk sizing, patience). Keep Confirm on Close ON when you want stability; turn it OFF for faster (but noisier) reads. Notes & limitations Not advice: This is an informational tool; always combine with your own risk rules. Repaint vs responsiveness: With “Confirm on Close” OFF you’ll see faster state changes but may get more churn intrabar. Presets matter: Scalp MACD reacts fastest; Slow reduces whipsaw. Choose for your timeframe. Session windows depend on the strings you set; adjust if your broker’s feed or DST handling needs tweaks.
Wskaźnik Pine Script®
od inkadinka_ka
Synthetic Point & Figure on RSIHere is a detailed description and user guide for the Synthetic Point & Figure RSI indicator, including how to use it for long and short trade considerations: * ## Synthetic Point & Figure RSI Indicator – User Guide ### What It Is This indicator applies classic Point & Figure (P&F) charting logic to the Relative Strength Index (RSI) instead of price. It transforms the RSI into synthetic “P&F candles” that filter out noise and highlight significant momentum moves and reversals based on configurable box size and reversal settings. ### How It Works - The RSI is calculated normally over the selected length. - The P&F engine tracks movements in the RSI above or below a defined “box size,” creating columns that switch direction only after a larger reversal. - The synthetic candles connect these filtered RSI values visually, reducing false noise and emphasizing strong RSI trends. - Optional EMA and SMA overlays on the synthetic P&F RSI allow smoother trend signals. - Reference RSI levels at 33, 40, 50, 60, and 66 provide further context for momentum strength. ### How to Use for Trading #### Long (Buy) Considerations - The synthetic P&F RSI candle direction flips to *up (green candles)* indicating strength in momentum. - Look for the RSI P&F value moving above the *40 or 50 level*, suggesting increasing bullish momentum. - Confirmation is stronger if the synthetic RSI is above the EMA or SMA overlays. - Ideal entries are after a reversal from a synthetic P&F downtrend (red candles) to an uptrend (green candles) near or above these levels. #### Short (Sell) Considerations - The candle direction flips to *down (red candles)*, showing weakening momentum or bearish reversal. - Monitor if the synthetic RSI falls below the *60 or 50 level*, signaling momentum loss. - Confirm bearish bias if the price is below the EMA or SMA overlays. - Exit or short positions are signaled when the synthetic candle reverses from green to red near or below these threshold levels. ### Important RSI Levels to Watch - *Level 33*: Lower bound indicating deep oversold conditions. - *Level 40*: Early bullish zone suggesting momentum improvement. - *Level 50*: Neutral midpoint; crossing above often signals bullish strength, below signals weakness. - *Level 60*: Advanced bullish momentum; breaking below signals potential reversal. - *Level 66*: Strong overbought area warning of possible pullback. ### Tips - Use in conjunction with price action analysis and other volume/trend indicators for higher conviction. - Adjust box size and reversal settings based on instrument volatility and timeframe for ideal filtering. - The P&F RSI is best for identifying sustained momentum trends and avoiding false RSI whipsaws. - Combine this indicator’s signals with stop-loss and risk management strategies. * This indicator converts RSI momentum analysis into a simplified, noise-filtered P&F chart format, helping traders better visualize and trade momentum shifts. It is especially useful when RSI signal noise can cause confusion in volatile markets. Let me know if you want me to generate a shorter summary or code alerts based on these levels! Sources Relative Strength Index (RSI) — Indicators and Strategies in.tradingview.com Indicators and strategies in.tradingview.com Relative Strength Index (RSI) Indicator: Tutorial www.youtube.com Stochastic RSI (STOCH RSI) in.tradingview.com RSI Strategy docs.algotest.in Stochastic RSI Indicator: Tutorial www.youtube.com Relative Strength Index (RSI): What It Is, How It Works, and ... www.investopedia.com rsi — Indicators and Strategies in.tradingview.com Relative Strength Index (RSI) in.tradingview.com Relative Strength Index (RSI) — Indicators and Strategies www.tradingview.com
Wskaźnik Pine Script®
od ranvijaysharma2010
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis Overview The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time. Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning. What Makes This Indicator Unique 1. Multi-Timeframe Volume Delta Precision The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators. 2. Real-Time Updates Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen. 3. Market Flow Analysis The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions. 4. Adaptive Visual Intensity The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity. 5. Complete Customization Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs. 6.All In One Solution 6 Metrics in one indicator no more using 5 different indicators. Core Features Explained DELTA (Volume Delta) What it shows: Net difference between aggressive buy volume and aggressive sell volume Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers Interpretation: Positive values indicate aggressive buying pressure Negative values indicate aggressive selling pressure Magnitude indicates the strength of directional pressure OI Δ (Open Interest Change) What it shows: Change in open interest from the previous bar Data source: Fetches open interest data using the "_OI" symbol suffix Interpretation: Positive values indicate new positions entering the market Negative values indicate positions being closed Combined with price direction, reveals market participant behavior L/S (Net Long/Short Bias) What it shows: Estimated net change in long vs short market positions Calculation method: Combines open interest changes with price/volume direction using configurable logic Scenarios analyzed: New Longs: Rising OI + Rising Price/Volume = Long position accumulation Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits New Shorts: Rising OI + Falling Price/Volume = Short position accumulation Covered Shorts: Falling OI + Rising Price/Volume = Short position exits Result: Net bias toward long (positive) or short (negative) market sentiment TOTAL (Total Volume) What it shows: Standard volume for the current bar Purpose: Provides context for other metrics and baseline activity measurement Enhanced display: Uses gradient intensity based on recent volume history BUY (Estimated Buy Volume) What it shows: Estimated aggressive buy volume Calculation: (Total Volume + Delta) / 2 Use case: Helps quantify the actual buying pressure in monetary/contract terms SELL (Estimated Sell Volume) What it shows: Estimated aggressive sell volume Calculation: (Total Volume - Delta) / 2 Use case: Helps quantify the actual selling pressure in monetary/contract terms Configuration Options Timeframe Settings Custom Timeframe Toggle: Enable/disable custom lower timeframe selection Timeframe Selection: Choose the precision level for volume delta calculations Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe Net Positions Calculation Direction Method: Choose between Price-based or Volume Delta-based direction determination Value Method: Select between Open Interest Change or Volume for position size calculations Display Customization Row Order: Completely customize which metrics appear and in what order (6 positions available) Color Schemes: Individual color selection for positive/negative values of each metric Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations Visual Elements Box Format: Clean, professional box display with clear labels Color Coding: Intuitive color schemes with customizable transparency gradients Real-time Updates: Live updating for developing candles with historical stability How to Use This Indicator For Day Traders Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta Entry Timing: Watch for volume delta divergences at key levels to time entries Exit Signals: Monitor when aggressive volume shifts against your position For Swing Traders Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing Open Interest Analysis: Use OI Δ to confirm whether moves are backed by new money or position adjustments Trend Validation: Combine multiple metrics to validate trend strength and sustainability For Scalpers Real-time Edge: Utilize the live updates to see developing imbalances before bar completion Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment Volume Profile: Use TOTAL volume context for optimal entry/exit sizing Setup Recommendations Futures Markets: Enable OI tracking and use Volume Delta direction method Crypto Markets: Focus on DELTA and volume metrics; OI may not be available Stock Markets: Use Price direction method with volume value calculations High-Frequency Analysis: Set lower timeframe to 1S for maximum precision Technical Implementation Data Accuracy Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification Implements error checking for data availability Handles missing data gracefully with fallback calculations Performance Optimization Efficient array management with configurable lookback periods Smart box creation and deletion to prevent memory issues Optimized real-time updates without historical data corruption Compatibility Works on all timeframes from seconds to daily Compatible with futures, forex, crypto, and stock markets Automatically adjusts calculation methods based on available data Risk Disclaimers This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should: Combine with other forms of analysis Practice proper risk management Understand that past performance doesn't predict future results Be aware that volume delta and open interest data quality varies by market and data provider Conclusion The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
Wskaźnik Pine Script®
od benb1122
4
CAGR Indicator (Flexible Holding Period)CAGR Indicator (Flexible Holding Period) The CAGR Indicator (Flexible Holding Period) is designed to convert any cumulative investment outcome into a standardized, annualized growth rate that can be compared across assets, strategies, and time horizons. Its core metric is the compound annual growth rate, which represents the constant yearly rate that, if compounded smoothly, transforms an initial value into a final value over a specified horizon. By annualizing returns, the indicator removes distortions caused by unequal test lengths and allows direct comparison with benchmarks such as index returns or risk-free rates. Conceptually, the indicator proceeds in two stages: measuring growth and normalizing time. Growth is summarized by the growth multiple, which is the ratio of ending value to starting value when concrete values are provided, or equivalently 1 plus total percentage return divided by 100 when only a cumulative percent is known. Time is normalized by converting the user’s holding period into a year-equivalent, so that a 45-day, 30-week, 18-month, or multi-year interval can all be mapped onto a common annual scale. The conversions use widely accepted approximations: days divided by 365.25, weeks divided by approximately 52.1429, and months divided by 12, while years are used as entered. Once growth and time are expressed in compatible units, the indicator applies the standard compounding identity: CAGR = (Growth Multiple)^(1/T) − 1, where T is the year-equivalent holding period. This transformation inverts the compounding process and yields the geometric mean rate of return per year. Because the geometric mean is path-independent, the CAGR summarizes start-to-finish performance without reference to the sequence of gains and losses. The output therefore reflects the constant annual rate that would have produced the observed terminal value from the initial value if returns had been smooth. The indicator admits two data entry modes to accommodate common reporting practices. In Start/End Values mode, the user supplies initial and final portfolio values; the indicator computes the growth multiple as end divided by start and also displays absolute profit or loss in currency terms to aid practical interpretation. In Total PnL (%) mode, the user supplies a cumulative return percentage; the indicator converts this to a growth multiple and estimates a corresponding ending value for display, while the CAGR computation itself relies only on the multiple and the time horizon. Validity checks ensure that reported numbers are meaningful. The growth multiple must be strictly positive; cumulative losses at or below minus one hundred percent make the multiple nonpositive and render the CAGR undefined. The holding period must be positive and convertible to a year-equivalent. In Start/End mode, the starting value must exceed zero to avoid division by zero and degenerate ratios. When these conditions are not met, the indicator withholds a numeric result and signals that the quantity is not well defined. Interpreting the output requires recognizing both its strengths and its limits. The CAGR is a concise, comparable measure of long-run performance that abstracts from timing and volatility. It is particularly useful for benchmarking strategies of different durations, setting policy targets for funds, communicating results to stakeholders, and aligning outcomes with hurdle rates. However, because it is path-independent, the CAGR does not reflect interim drawdowns, variance, or tail risk. It also presumes a lump-sum investment with no intermediate cash flows; when deposits or withdrawals occur, internal rate of return methods such as IRR or XIRR are more appropriate. Typical applications include comparing backtests with unequal sample lengths, reporting consolidated results from discrete projects on a common annual basis, and translating short-horizon event outcomes (for example, a multi-week campaign) into an annualized figure for decision-making. The indicator’s auxiliary displays, such as total profit or loss in currency and the explicit statement of the original holding period alongside its year-equivalent, improve transparency and auditability of the transformation. Users should remain mindful of several caveats. Time conversions rely on conventional averages and may differ from calendar-exact counts by small amounts, which is usually immaterial but worth noting for edge cases. Selection bias can inflate reported CAGRs if intervals are cherry-picked; robust practice involves rolling windows, out-of-sample tests, and sensitivity analysis. Most importantly, the CAGR should be paired with risk and stability measures—such as maximum drawdown, Sharpe or Sortino ratios, downside deviation, or ulcer index—to form a complete assessment of a strategy’s quality. In sum, the indicator operationalizes a simple but powerful idea: separate the measurement of growth from the normalization of time, then apply the compounding identity to express outcomes as a consistent per-year rate. By combining flexible period inputs with a rigorous geometric transformation, it enables fair, intelligible comparisons while encouraging the complementary use of risk diagnostics to avoid over-reliance on a single summary statistic.
Wskaźnik Pine Script®
od Wongsakon
Stock Valuation Models - Professional Investment Analysis Tool📊 Overview Stock Valuation Models is a comprehensive financial analysis indicator that combines multiple valuation methodologies to calculate intrinsic stock value. This professional-grade tool implements 7 different valuation methods , risk assessment framework, and financial health metrics to provide data-driven investment decisions. 🎯 Key Features 📈 Multiple Valuation Methods Graham's Valuation - Conservative asset-based approach by Benjamin Graham Multiples Valuation - Market-based P/E and P/B ratios from sector peers Discounted Cash Flow (DCF) - Future cash flow projections with present value calculation Dividend Discount Model - Gordon Growth Model for dividend-paying stocks FCFF Model - Enterprise-level Free Cash Flow to Firm analysis EVA Model - Economic Value Added measurement above cost of capital Advanced Multiples - Enterprise Value ratios (EV/EBITDA, EV/Sales) 🏥 Financial Health Metrics Altman Z-Score - Bankruptcy prediction and financial distress assessment Piotroski F-Score - 9-point fundamental strength evaluation Beneish M-Score - Earnings manipulation detection system Magic Formula - Joel Greenblatt's combined quality and value scoring ⚖️ Risk Assessment Framework Multi-Factor Risk Scoring - Fundamental, market, quality, and data quality risks Risk-Adjusted Margin of Safety - Dynamic safety thresholds based on risk level Position Sizing Guidance - Risk-appropriate investment allocation recommendations 🔍 Data Quality System Real-Time Quality Tracking - Visual warnings for insufficient data Fallback Methodology - Alternative calculations when primary data unavailable Confidence Scoring - Method agreement and data quality assessment ⚙️ Settings & Parameters Main Settings Margin of Safety (%) - Minimum discount required before buying (Default: 15%) Table Font Size - Choose between "Small" and "Normal" text size Valuation Methods Graham's Valuation - Best for mature, stable companies with strong fundamentals Multiples Valuation - Compares to industry peers using dynamic sector ratios Discounted Cash Flow - Ideal for growth companies with predictable cash flows Dividend Discount Model - For consistent dividend-paying stocks (disabled by default) FCFF Model - Enterprise approach for leveraged companies and M&A analysis EVA Model - Measures value creation above cost of capital Advanced Multiples - Wall Street standard EV ratios for professional analysis Additional Metrics Magic Formula - Combined quality and value scoring system Altman Z-Score - Bankruptcy risk assessment (Safe >2.99, Distress <1.81) Piotroski F-Score - Fundamental quality score (Excellent ≥8, Poor <4) Beneish M-Score - Manipulation detector (High Risk >-2.22, Low Risk ≤-2.22) 🔧 How It Works Dynamic Calculations Sector-Based Ratios - Automatically detects company sector and applies appropriate valuation multiples Economic Integration - Uses real-time risk-free rates, VIX volatility, and GDP growth data Quality Weighting - Adjusts method weights based on company type (growth/mature/distressed) and market conditions Negative Value Handling - Shows actual calculated values but excludes negative results from weighted average Risk-Adjusted Analysis VIX Integration - Higher market volatility increases required margin of safety Sector Risk Premiums - Energy and Financial sectors get higher risk multipliers Quality Adjustments - High Piotroski F-Score companies get lower risk ratings Data Quality Impact - Insufficient data increases risk score and safety requirements Visual Display Horizontal Table Layout - Organized by method groups (Valuation → Results → Risk → Health) Color-Coded Results - Green/Yellow/Red indicators for risk levels and recommendations Warning Symbols - ⚠️ for data quality issues, ❌ for excluded negative values Dollar Amounts - Both percentage and dollar-based margin of safety calculations 📈 Interpretation Guide 💎 Intrinsic Value Results Weighted Average - Combines all enabled methods based on intelligent weighting Confidence Level - High/Medium/Low based on method agreement and data quality Method Count - Number of successful valuation calculations 🎯 Margin of Safety Percentage - Current discount/premium to calculated intrinsic value Dollar Amount - Absolute dollar difference per share Buy Price - Risk-adjusted target purchase price ⚖️ Risk Assessment Low Risk (Green) - Normal position sizing (3-5%) Medium Risk (Yellow) - Reduced position sizing (1-3%) High Risk (Red) - Minimal position sizing (<1%) 📊 Recommendations STRONG BUY - Low risk + adequate margin + high confidence BUY - Meets risk-adjusted margin requirements HOLD - Positive margin but higher risk SELL - Insufficient margin for risk level 🎓 Educational Tooltips Every parameter includes detailed explanations accessible by hovering over the setting. Learn about: When to use each valuation method How different metrics are calculated Interpretation thresholds and ratings Risk factors and quality indicators 💡 Best Practices 🚀 For Growth Stocks Enable DCF and Advanced Multiples Focus on Piotroski F-Score for quality assessment Use higher margin of safety due to volatility 💰 For Value Stocks Enable Graham's and Multiples Valuation Check Altman Z-Score for financial stability Consider Magic Formula rating 📈 For Dividend Stocks Enable Dividend Discount Model Focus on sustainable dividend coverage Check for consistent dividend history ⚠️ For Distressed Situations Prioritize Graham's asset-based approach Monitor Altman Z-Score closely Use higher risk-adjusted margins ⚠️ Important Notes & Data Limitations 📅 Data Timing Considerations Fundamental Data Lag - Company financial data (earnings, cash flows, balance sheet items) may be 1-3 months behind current market conditions Quarterly Reporting Delays - Most recent available data reflects the company's situation as of the last filed quarterly/annual report Market vs. Fundamentals Gap - Stock prices react instantly to news, while fundamental data updates occur periodically Accuracy Impact - Recent business changes, market events, or company developments may not be reflected in current calculations 🔧 Technical Limitations Data Dependencies - Requires fundamental data availability from TradingView Quality Warnings - Pay attention to ⚠️ symbols indicating insufficient data Risk Context - Always consider risk score in investment decisions Market Conditions - Tool automatically adjusts for market volatility (VIX) Sector Specificity - Ratios automatically adjust based on company's sector 💡 Best Practice Recommendations Supplement with Current Analysis - Always combine with recent news, earnings calls, and management guidance Monitor Data Quality - Check when the underlying financial data was last updated Consider Market Context - Factor in recent market events that may affect company performance Use as Starting Point - Treat calculations as baseline analysis requiring additional research 🔗 Methodology Based on established academic research and professional practices: Benjamin Graham - Security Analysis principles Joel Greenblatt - Magic Formula methodology Edward Altman - Z-Score bankruptcy prediction Joseph Piotroski - Fundamental analysis scoring Messod Beneish - Earnings manipulation detection Modern Portfolio Theory - Risk-adjusted decision making This indicator is designed for educational and analytical purposes. Always conduct additional research and consider consulting with financial professionals before making investment decisions.
Wskaźnik Pine Script®
od audrius_exe
Uptrick: Majors Directional BiasOverview Uptrick: Majors Directional Bias is a trend-following indicator designed for higher timeframe markets, with a particular focus on the daily chart. It keeps a persistent bullish or bearish stance, highlights confirmed trend flips with one-time markers, and plots a slim, adaptive flow trail that often acts as dynamic support in bullish conditions and resistance in bearish conditions. It is purpose-built for BTC, ETH, and SOL, with safeguards to warn users if applied elsewhere. Introduction This indicator was created to simplify trend tracking on higher timeframes. Rather than layering multiple moving averages, oscillators, or external signals, it keeps everything on the price chart itself. Candles are colored by the active stance, a single marker shows the bar where a trend flip is confirmed, and the flow trail follows price closely while adjusting to volatility. For traders working with the daily chart, the trail becomes a practical tool: in an uptrend, it often serves as a natural stop placement zone or structural support, while in a downtrend it behaves like dynamic resistance. The combination of persistence, confirmation, and structure gives traders a clean map of market direction without noise or clutter. Purpose The tool is designed to help traders follow medium to long-term market trends rather than react to short intraday moves. Its focus is clarity and continuity — it latches onto a stance and only changes when a new confirmed flip occurs. This makes it suitable for swing traders and position traders who want to stay aligned with the prevailing trend on the daily chart. Practical uses include identifying trend shifts, entering trades in the direction of the new stance, managing positions by trailing stops along the flow trail, and monitoring pullbacks for whether they respect or break the trail. In this way, the indicator supports both entry timing and ongoing trade management on higher timeframe markets. Originality and uniqueness The originality of this script lies in its blend of complexity and simplicity. Internally, it uses multiple filters and layered components to reduce market noise, smooth out erratic fluctuations, and avoid false flips that are common on higher timeframes. Externally, the presentation is deliberately simple: candles are colored by trend, a single marker identifies each confirmed flip, and a slim trail with soft fills shows where the trend structure sits. Many tools either overload traders with information or flicker constantly in uncertain conditions. This script strikes a balance — complex logic works in the background, but what the trader sees is minimal and actionable. Its ability to filter out noise, persist with confidence, and present direction in the simplest terms makes it unique among trend-following overlays. Why these components were merged Each component has a clear role in supporting higher timeframe trading. Persistent bias coloring ensures the dominant trend is always visible, making it easy to stay aligned with the market. Flip markers give clarity by identifying the exact bar where the stance shifts, allowing traders to backtest or audit trends quickly. The flow trail provides a structural guide that adapts to volatility: in bull phases it runs under price, often acting as support, while in bear phases it runs above price, often behaving as resistance. Together, these features provide three layers of information in one view — direction, confirmation, and structure — giving traders a reliable framework for swing and position trading on the daily chart. Step-by-Step The script determines the dominant trend and locks that stance until an opposite confirmation occurs. On confirmation of a new trend, a single marker prints on the bar of the flip. A slim, adaptive trail plots under price in bull phases and above price in bear phases, with a soft fill to reinforce the state. Price candles are colored by the active stance so the overall direction is always clear. If the indicator is loaded on assets outside BTC, ETH, or SOL, a warning panel appears to set expectations. Features Persistent trend stance Candles are always bull or bear, with no neutral state. This reduces ambiguity and keeps the trend visible at all times. One-time flip markers Markers plot once at the confirmed flip bar, preventing repetitive clutter and making historical review straightforward. Adaptive flow trail with soft fill The trail tracks price while adjusting to volatility. In bull trends it acts like dynamic support, in bear trends like dynamic resistance. Traders can use it as a practical stop-loss reference, trailing their risk along the line as the trend progresses. Noise filtering logic Internally, the indicator applies multiple filters and components to dampen false signals and avoid unnecessary flips. This is particularly important on higher timeframes, where swings are larger and stability is critical. Asset-aware design The indicator is tuned for BTC, ETH, and SOL, with an internal mode that adapts its responsiveness to each. A warning panel appears when used outside these majors. Overlay-only clarity Everything is drawn directly on the main chart. The trail gaps at regime changes, fills are soft and non-obstructive, and the overall design emphasizes readability on higher timeframe candles. Conclusion The MDB is a higher timeframe trend-following overlay built for BTC, ETH, and SOL, with daily charts as its ideal setting. It combines persistent bias coloring, one-time flip markers, and an adaptive flow trail to give traders direction, confirmation, and structure in the simplest possible form. Internally, it uses complex filtering to reduce noise and maintain reliable signals, but externally it stays minimal and clean. For swing and position traders who want to follow the daily trend with clarity and discipline, this indicator provides a focused solution. Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, including the risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use appropriate risk management.
Wskaźnik Pine Script®
od Uptrick
2
Fed Rate Change Impact📊 Fed Rate Change Impact — Macro Event-Driven Indicator Fed Rate Change Impact is an advanced indicator designed to analyze the impact of Federal Reserve interest rate changes on financial markets. It integrates event-driven logic with dynamic visualization, percentage diagnostics, and multi-asset selection, offering a clear and customizable view of post-event effects. 🔍 Key Features 📅 Preloaded Fed Events : Includes over 30 historical rate cut (↓) and hike (↑) dates from 2008 to 2024. 📈 Post-Event Analysis : Calculates the percentage change of the selected asset 5, 10, and 30 days after each event. 📌 Vertical Chart Lines : Visually highlights each event directly on the chart, with dynamic coloring (red for hikes, green for cuts). 📋 Diagnostic Table : Displays real-time impact for each event, with color-coded values and a compact layout. 🧠 Interactive Filter: Choose to display only hikes, only cuts, or both. 🧭 Flexible Asset Selection : Analyze the current chart asset, pick from a predefined list, or manually input any ticker via input.symbol(). 🎯 Contextual Highlighting : The table highlights the analyzed asset if it matches the active chart symbol. ⚙️ Customizable Parameters lookahead5, lookahead10, lookahead30: Define the time horizon for measuring post-event impact. eventFilter : Choose which type of events to display. presetAsset / customAsset : Select or input the asset to analyze. 🧪 Recommended Use Cases Macroeconomic analysis on indices, commodities, crypto, and forex Studying delayed effects of rate changes on sensitive assets Building event-driven strategies or diagnostic overlays Visual backtesting and cross-asset comparison 🧠 Technical Notes The indicator is compatible with overlay=true and works best on Daily timeframe. The table automatically adapts to the number of events and includes visual padding for improved readability. All calculations are performed in real time and require no external data.
Wskaźnik Pine Script®
od FrancescoG65
FOMC Policy Events[nakano]### FOMC Policy Events #### Summary / 概要 This indicator plots the historical policy decisions of the U.S. Federal Open Market Committee (FOMC) directly onto your chart. It is an essential tool for traders and analysts who want to visualize how the market reacts to changes in monetary policy. All historical event data from 2000 onwards is hard-coded into the script for fast and reliable performance. このインジケーターは、米国連邦公開市場委員会（FOMC）の過去の政策決定をチャート上に直接プロットします。金融政策の変更に対する市場の反応を視覚的に分析したいトレーダーやアナリストにとって不可欠なツールです。2000年以降の全ての過去イベントデータが含まれます。 --- #### Features / 主な機能 * **Comprehensive Historical Data / 包括的な過去データ** Includes all historical scheduled and emergency FOMC rate decisions from January 2000. 2000年1月以降の、全ての定例および緊急のFOMC金利決定の履歴を含みます。 * **Detailed Event Labels / 詳細なイベントラベル** Each event is marked with a clear label showing: 各イベントには、以下の情報を示す明確なラベルが表示されます： * The exact date of the announcement. 発表の正確な日付 * The type of decision (Rate Hike, Rate Cut, Hold, or Emergency Cut). 決定内容（利上げ、利下げ、据え置き、緊急利下げ） * The resulting Federal Funds Target Rate. 決定後の政策金利（FF金利ターゲット） * **Fully Customizable Display / 柔軟な表示設定** From the indicator's settings menu, you can: インジケーターの設定画面から、以下の操作が可能です： * Individually toggle the visibility of Rate Hikes, Rate Cuts, and Holds. 「利上げ」「利下げ」「据え置き」の表示・非表示を個別に切り替える * Choose your preferred language for the labels (English or Japanese). ラベルの表示言語を「英語」または「日本語」から選択する * **Clear Visual Cues / 明確なビジュアル** * **Rate Hikes:** Green labels positioned below the price bars. **利上げ：** バーの下に緑色のラベル * **Rate Cuts:** Red labels positioned above the price bars. **利下げ：** バーの上に赤色のラベル * **Holds:** Gray labels positioned above the price bars. **据え置き：** バーの上に灰色のラベル * **Emergency Events:** Specially highlighted in maroon for easy identification. **緊急イベント：** 識別しやすいように特別な色（ワインレッド）で強調表示 --- #### How to Use / 使用方法 1. Add the indicator to your chart. インジケーターをチャートに追加します。 2. Click the **Settings (gear icon)** next to the indicator name on your chart. チャート上のインジケーター名の横にある**設定（歯車アイコン）**をクリックします。 3. In the "Display Settings" section, check or uncheck the boxes to show or hide different event types. 「Display Settings」セクションで、各イベントタイプの表示・非表示をチェックボックスで切り替えます。 4. In the "Language Settings" section, select your preferred language from the dropdown menu. 「Language Settings」セクションで、ドロップダウンメニューからお好みの言語を選択します。 --- #### A Note on Data / データについて The event data included in this script is static and contains historical decisions up to September 2025. The script does not plot future scheduled meetings and will need to be manually updated as new policy decisions are made. このスクリプトに含まれるイベントデータは静的なものであり、2025年9月までの過去の決定を含んでいます。未来のスケジュールをプロットする機能はなく、新しい金融政策が決定された場合は、スクリプトの手動更新が必要です。
Wskaźnik Pine Script®
od nakanock
Aggregated OI by MalexThis indicator aggregates Open Interest data from multiple major exchanges (Binance, Bybit, OKX) to provide a comprehensive view of market positioning across platforms. Original idea by Alex Nikulin. FEATURES: Multi-exchange OI aggregation with customizable exchange selection Choose between Sum or Average aggregation methods Individual exchange OI display (optional) Clean mode - show only aggregated data Real-time status monitoring for each exchange Candlestick visualization matching standard OI indicators Information panel showing current values and active exchanges USAGE: Enable/disable specific exchanges in settings Choose aggregation method (Average recommended for balanced view) Toggle individual exchange display or use clean mode Monitor the info panel for data availability status COMPATIBILITY: Works with any symbol that has Open Interest data available on the selected exchanges. Best used on perpetual futures contracts (e.g., BTCUSDT, ETHUSDT, etc.)
Wskaźnik Pine Script®
od malexoff
Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard Version: PineScript™v6 📌Description The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis. Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance. 🚀Points of Innovation ● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system ● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning ● Advanced Volume Filtering: Institutional volume confirmation across all pattern types ● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones ● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns ● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis 🔧Core Components ● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis ● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation ● Order Block System: Institutional order block identification with customizable mitigation methods ● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring ● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios ● ICT Market Structure: Simplified institutional concepts with commitment tracking 🔥Key Features ● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification ● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted ● Interactive Dashboard: Real-time status display with active pattern counts and module status ● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones ● Full Alert System: Complete notification coverage for all pattern types and signal generations ● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements 🎨Visualization ● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules ● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation ● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization ● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators ● Dashboard Table: Professional-grade status panel with module activation and pattern counts ● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis 📖Usage Guidelines Fair Value Gap Settings ● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period ● Volume Filter: Enables institutional volume confirmation for gap validity ● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition ● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting Order Block Configuration ● Scan Range: Default 25 bars - Lookback period for structure break identification ● Volume Filter: Institutional volume confirmation for order block validation ● Mitigation Method: Wick or Close-based invalidation for different trading styles ● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation Wyckoff Analysis Parameters ● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection ● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation ● Probability Threshold: Default 0.7 - Minimum probability score for signal generation ● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment Market Structure Settings ● Auto-Detect Zones: Automatic identification of high-volume thin zones ● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction ● Test Window: Default 20 bars - Time period for zone commitment calculation Display Customization ● Dashboard Position: Four corner options for optimal chart layout ● Text Size: Scalable from Tiny to Large for different screen configurations ● Pattern Colors: Full customization of all bullish and bearish zone colors ✅Best Use Cases ● Swing Trading: Identify major institutional zones for multi-day position entries ● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries ● Trend Analysis: Market structure confirmation for directional bias establishment ● Risk Management: Clear invalidation levels provided by all pattern boundaries ● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts ⚠️Limitations ● Market Condition Dependency: Performance varies between trending and ranging market environments ● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation ● Lagging Nature: Some patterns confirmed after initial price movement has begun ● Pattern Density: High-volatility markets may generate excessive pattern signals ● Educational Tool: Requires understanding of smart money concepts for effective application 💡What Makes This Unique ● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively ● Real-Time Dashboard: Instant visual feedback on all active institutional patterns ● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules ● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy ● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance 🔬How It Works 1. Pattern Detection Phase: ● Multi-timeframe scanning for institutional footprints across all enabled modules ● Volume analysis integration confirms patterns meet institutional trading criteria ● Real-time pattern validation ensures only high-probability setups are displayed 2. Signal Generation Process: ● Automated zone creation with precise boundary definitions for each pattern type ● Dynamic extension system maintains relevance until mitigation or invalidation occurs ● Alert system activation provides immediate notification of new pattern formations 3. Dashboard Update Cycle: ● Live status monitoring tracks all active patterns and module states continuously ● Pattern count updates provide instant feedback on current market condition density ● Commitment tracking for market structure analysis shows institutional engagement levels 💡Note: This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.
Wskaźnik Pine Script®
od PhenLabs