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Drone Arrows with Supply & Demand (v6)A guided decision-making tool. Here’s a conservative way to use it: For Long Trades (Buy) Check the Dashboard At least 4–5 timeframes green (uptrend) is ideal. Overall condition = “Strong Buy” preferred. Look for a Green BUY Signal Arrow Appears below the candle. Price should be above the MA if the trend filter is on. Ideally, volume is above threshold if volume filter is enabled. Check Supply/Demand Zones Avoid buying directly into a nearby supply zone overhead. Best if you’re entering near/within a demand zone. Confirm Market Structure Higher highs & higher lows in recent price action. Set Stop Loss & Targets Use the plotted SL (ATR-based) or place just below nearest demand zone. TP levels are plotted — aim for 1:2 or better reward-to-risk. For Short Trades (Sell) Check the Dashboard At least 4–5 timeframes red (downtrend) is ideal. Overall condition = “Strong Sell” preferred. Look for a Red SELL Signal Arrow Appears above the candle. Price should be below the MA if the trend filter is on. Ideally, volume is above threshold if volume filter is enabled. Check Supply/Demand Zones Avoid shorting into a nearby demand zone. Best if you’re entering near/within a supply zone. Confirm Market Structure Lower highs & lower lows in recent price action. Set Stop Loss & Targets Use plotted SL (ATR-based) or just above nearest supply zone. TP levels are plotted — aim for 1:2 or better reward-to-risk. Extra Tips Patience: This tool works best in trending markets. In choppy sideways ranges, expect more false signals. Higher Timeframe Confluence: Even if trading M5/M15, align with H1 or H4 direction for better probabilities. Zones as Dynamic S/R: The supply/demand boxes are great for trade entries/exits — watch how price reacts to them. Cool Down Helps: The cooldown prevents overtrading but you can adjust it if you want faster signals.
Pine Script® indicator
by mk3696
FIBO SWING mfi by julzALGOOVERVIEW FIBO SWING mfi by julzALGO blends MFI → RSI → Least‑Squares smoothing to flag overbought/oversold swings and continuously plot Fibonacci retracements from the rolling high/low of the last 200 bars. It’s built to spot momentum shifts while giving you a clean, always‑current fib map of the recent market range. CORE PRINCIPLES Hybrid Momentum Signal Uses MFI to integrate price and volume. Applies RSI to MFI for momentum clarity. Smooths the result with Least Squares regression to reduce noise. Swing Identification Marks potential swing highs when momentum is overbought. Marks potential swing lows when momentum is oversold. Fixed-Window Fibonacci Mapping Always calculates fib levels from the highest high and lowest low of the last 200 bars. This keeps fib zones consistent, independent of swing point detection. Visual Clarity & Non-Repainting Logic Clean labels for OB/OS zones. Lines and levels update only as new bars confirm changes. Adaptability Works on any market and timeframe. Adjustable momentum length, OB/OS thresholds, and smoothing. HOW IT WORKS Computes Money Flow Index (MFI) from price & volume. Applies RSI to the MFI for clearer OB/OS momentum. Smooths the hybrid with a Least Squares (linear regression) filter. Swing labels appear when OB/OS conditions are met (green = swing low, red = swing high). Fibonacci retracements are always drawn from the highest high and lowest low of the last 200 bars (rolling window), independent of swing labels. HOW TO USE Watch for OB/OS flips to mark potential swing highs/lows. Use the 200‑bar fib grid as your active map of pullback levels and reaction zones. Combine fib reactions with your price action/volume cues for confirmation. Works across markets and timeframes. SETTINGS Length – Period for both MFI and RSI. OB/OS Levels – Overbought/oversold thresholds (default 70/30). Smooth – Least‑Squares smoothing length. Fibonacci Window – Fixed at 200 bars in this version (changeable in code via fibLen). NOTES Logic is non‑repainting aside from standard bar/label confirmation. Increase Length on very low timeframes to reduce noise. Swing labels help context; fibs are always based on the most recent 200‑bar high/low range. SUMMARY FIBO SWING mfi by julzALGO is a momentum-plus-price action tool that merges MFI → RSI → smoothing to identify overbought/oversold swings and automatically plot Fibonacci retracements based on the rolling high/low of the last 200 bars. It’s designed to help traders quickly see potential reversal points and pullback zones, offering visual confluence between momentum shifts and fixed-window price structure. DISCLAIMER For educational purposes only. Not financial advice. Trade responsibly with proper risk management.
Pine Script® indicator
by julzALGO
Liquidity Swings + SMT DivergencesThis combined script merges two advanced LuxAlgo tools, Liquidity Swings and SMT Divergences into a single indicator for efficient chart space usage. The Liquidity Swings portion automatically detects and marks recent swing highs and lows as potential liquidity pools, highlighting them with boxes, lines, and volume/count labels so traders can quickly see where price is likely to react or reverse. The SMT Divergences portion compares the chart’s price action to one or two correlated symbols and identifies “Smart Money Technique” divergences, where one market makes a higher high or lower low while the other fails to do so, signaling potential reversals or high-probability setups. Together, they give traders a visual map of where liquidity is sitting and when institutional order flow may be shifting making it useful for precision entries, targeting, and filtering trades in ICT-style and order flow–based strategies. I would like to give credit to LuxAlgo for the script bases.
Pine Script® indicator
by Nathan_m234
Key Indicators Dashboard (KID)Key Indicators Dashboard (KID) — Comprehensive Market & Trend Metrics 📌 Overview The Key Indicators Dashboard (KID) is an advanced multi-metric market analysis tool designed to consolidate essential technical, volatility, and relative performance data into a single on-chart table. Instead of switching between multiple indicators, KID centralizes these key measures, making it easier to assess a stock’s technical health, volatility state, trend status, and relative strength at a glance. 🛠 Key Features ⦿ Average Daily Range (ADR %): Measures average daily price movement over a specified period. It is calculated by averaging the daily price range (high - low) over a set number of days (default 20 days). ⦿ Average True Range (ATR): Measures volatility by calculating the average of a true range over a specific period (default 14). It helps traders gauge the typical extent of price movement, regardless of the direction. ⦿ ATR%: Expresses the Average True Range as a percentage of the price, which allows traders to compare the volatility of stocks with different prices. ⦿ Relative Strength (RS): Compares a stock’s performance to a chosen benchmark index (default NIFTYMIDSML400) over a specific period (default 50 days). ⦿ RS Score (IBD-style): A normalized 1–100 rating inspired by Investor’s Business Daily methodology. How it works: The RS Score is based on a weighted average of price changes over 3 months (40%), 6 months (20%), 9 months (20%), and 12 months (20%). The raw value is converted into a percentage return, then normalized over the past 252 trading days so the lowest value maps to 1 and the highest to 100. This produces a percentile-style score that highlights the strongest stocks in relative terms. ⦿ Relative Volume (RVol): Compares a stock's current volume to its average volume over a specific period (default 50). It is calculated by dividing the current volume by the average historical volume. ⦿ Average ₹ Volume (Turnover): Represents the total monetary value of shares traded for a stock. It's calculated by multiplying a day's closing price by its volume, with the final value converted to crores for clarity. This metric is a key indicator of a stock's liquidity and overall market interest. ⦿ Moving Average Extension: Measures how far a stock's current price has moved from from a selected moving average (EMA or SMA). This deviation is normalized by the stock's volatility (ATR%), with a default threshold of 6 ATR used to indicate that the stock is significantly extended and is marked with a selected shape (default Red Flag). ⦿ 52-Weeks High & Low: Measures a stock's current price in relation to its highest and lowest prices over the past year. It calculates the percentage a stock is below its 52-week high and above its 52-week low. ⦿ Market Capitalization: Market Cap represents the total value of all outstanding. ⦿ Free Float: It is the value of shares readily available for public trading, with the Free Float Percentage showing the proportion of shares available to the public. ⦿ Trend: Uses Supertrend indicator to identify the current trend of a stock's price. A factor (default 3) and an ATR period (default 10) is used to signal whether the trend is up or down. ⦿ Minervini Trend Template (MTT): It is a set of technical criteria designed to identify stocks in strong uptrends. Price > 50-DMA > 150-DMA > 200-DMA 200-DMA is trending up for at least 1 month Price is at least 30% above its 52-week low. Price is within at least 25 percent of its 52-week high Table highlights when a stock meets all above criteria. ⦿ Sector & Industry: Display stock's sector and industry, provides categorical classification to assist sector-based analysis. The sector is a broad economic classification, while the industry is a more specific group within that sector. ⦿ Moving Averages (MAs): Plot up to four customizable Moving Averages on a chart. You can independently set the type (Simple or Exponential), the source price, and the length for each MA to help visualize a stock's underlying trend. MA1: Default 10-EMA MA2: Default 20-EMA MA3: Default 50-EMA MA4: Default 200-EMA ⦿ Moving Average (MA) Crossover: It is a trend signal that occurs when a shorter-term moving average crosses a longer-term one. This script identifies these crossover events and plots a marker on the chart to visually signal a potential change in trend direction. User-configurable MAs (short and long). A bullish crossover occurs when the short MA crosses above the long MA. A bearish crossover occurs when the short MA crosses below the long MA. ⦿ Inside Bar (IB): An Inside Bar is a candlestick whose entire price range is contained within the range of the previous bar. This script identifies this pattern, which often signals consolidation, and visually marks bullish and bearish inside bars on the chart with distinct colors and labels. ⦿ Tightness: Identifies periods of low volatility and price consolidation. It compares the price range over a short lookback period (default 3) to the average daily range (ADR). When the lookback range is smaller than the ADR, the indicator plots a marker on the chart to signal consolidation. ⦿ PowerBar (Purple Dot): Identifies candles with a strong price move on high volume. By default, it plots a purple dot when a stock moves up or down by at least 5% and has a minimum volume of 500,000. More dots indicate higher volatility and liquidity. ⦿ Squeezing Range (SQ): Identifies periods of low volatility, which can often precede a significant price move. It checks if the Bollinger Bands have narrowed to a range that is smaller than the Average True Range (ATR) for a set number of consecutive bars (default 3). (UpperBB - LowerBB) < (ATR × 2) ⦿ Mark 52-Weeks High and Low: Marks and labels a stock's 52-Week High and Low prices directly on the chart. It draws two horizontal lines extending from the candles where the highest and lowest prices occurred over the past year, providing a clear visual reference for long-term price extremes. ⏳PineScreener Filters The indicator’s alert conditions act as filters for PineScreener. Price Filter: Minimum and maximum price cutoffs (default ₹25 - ₹10000). Daily Price Change Filter: Minimum and maximum daily percent change (default -5% and 5%). 🔔 Built-in Alerts Supports alert creation for: ADR%, ATR/ATR %, RS, RS Rating, Turnover Moving Average Crossover (Bullish/Bearish) Minervini Trend Template 52-Week High/Low Inside Bars (Bullish/Bearish) Tightness Squeezing Range (SQ) ⚙️ Customizable Visualization Switchable between vertical or horizontal layout. Works in dark/light mode User-configurable to toggle any indicator ON or OFF. User-configurable Moving (EMA/SMA), Period/Lengths and thresholds. ⦿ (Optional) : For horizontal table orientation increase Top Margin to 16% in Chart (Canvas) settings to avoid chart overlapping with table. ⚡ Add this script to your chart and start making smarter trade decisions today! 🚀
Pine Script® indicator
by Byte2Bull
ATR x2 AUTODescription: This indicator automatically plots ATR-based horizontal levels for each of the most recent candles, helping traders visualize potential stop-loss hunting zones, breakout areas, or price reaction points. It works by taking the Average True Range (ATR) over a customizable period and multiplying it by a user-defined factor (default: ×2). For each of the last N candles (default: 5), it calculates and draws: Below green candles (bullish) → A horizontal line placed ATR × multiplier below the candle’s low. Above red candles (bearish) → A horizontal line placed ATR × multiplier above the candle’s high. Doji candles → No line is drawn. Each line extends to the right indefinitely, allowing traders to monitor how price reacts when returning to these ATR-based levels. This makes the tool useful for: Identifying likely stop-loss clusters below bullish candles or above bearish candles. Anticipating liquidity sweeps and fakeouts. Supporting breakout or reversal strategies. Key Features: Customizable ATR length, multiplier, number of recent candles, and line thickness. Separate colors for bullish and bearish candle levels. Automatic real-time updates for each new bar. Clean overlay on the main price chart. Inputs: ATR Length → Period used for ATR calculation. Multiplier → Factor applied to the ATR distance. Number of Candles → How many recent candles to track. Line Thickness and Colors → Full visual customization. Usage Tip: These levels can be combined with key market structure points such as support/resistance, trendlines, or the 200 EMA to anticipate high-probability price reactions.
Pine Script® indicator
by BullBearSR
ABS Companion Oscillator — Trend / Exhaustion / New Trend (v1.1) # ABS Companion Oscillator — Trend / Exhaustion / New Trend (v1.1) ## What it is (quick take) **ABS CO** is a unified **–100…+100 trend oscillator** that fuses: * **Regime**: EMA stack (fast/slow/long) + **HTF slope** (e.g., 60-minute) * **Momentum**: **TSI** vs its signal * **Stretch**: session-anchored **VWAP Z-score** for exhaustion and “fresh-trend” sanity checks It paints the oscillator with **lime** in upstate, **red** in downstate, **gray** in neutral, and tags: * **NEW↑ / NEW↓** when a **new trend** likely starts (zero-line cross with acceptable stretch) * **EXH↑ / EXH↓** when an **existing trend looks exhausted** (large |Z| + momentum rollback) > Use it as a **direction filter and context layer**. Works great in front of an entry engine and behind an exit tool. --- ## How to use it (operational workflow) 1. **Read the state** * **Uptrend** when the oscillator is **≥ upThresh** (default +55) → prefer **long-side** plays. * **Downtrend** when the oscillator is **≤ dnThresh** (default −55) → prefer **short-side** plays. * **Neutral** between thresholds → be selective or flat; expect chop. 2. **Act on events** * **NEW↑ / NEW↓**: zero-line cross with acceptable |Z| (not already overstretched). Treat as **trend start** cues. * **EXH↑ / EXH↓**: trend state with **high |Z|** and TSI rollback versus its signal. Treat as **trend fatigue**; avoid fresh go-with entries and tighten risk. 3. **Practical pairing** * Use **up/down state** (or above/below **neutralBand**) as your go/no-go filter for entries. * Prioritize entries **with** NEW↑/NEW↓ and **without** nearby EXH tags. * Keep holding while the oscillator stays in state and no EXH appears; consider scaling out on EXH or on your exit tool. --- ## Visual semantics & alerts * **ABS CO line** (–100…+100): lime in upstate, red in downstate, gray in neutral. * **Horizontal guides**: `Up` threshold, `Down` threshold, `Zero`, and optional **neutral band** lines. * **Background heat** (optional): shaded when EXH conditions trigger (lime/red tint with intensity scaled by |Z|). * **Tags**: `NEW↑`, `NEW↓`, `EXH↑`, `EXH↓`. **Alerts (stable):** * **ABS CO — New Uptrend** (NEW↑) * **ABS CO — New Downtrend** (NEW↓) * **ABS CO — Exhausted Up** (EXH↑) * **ABS CO — Exhausted Down** (EXH↓) Set alerts to **“Once per bar close”** for clean signals. --- ## Non-repainting behavior * HTF queries use **lookahead\_off**. * With **Strict NR = true**, the HTF slope is taken from the **prior completed** HTF bar; events evaluate on confirmed bars → **safer, fewer, cleaner**. * NEW/EXH tags finalize at bar close. Disabling strictness yields earlier but noisier responses. --- ## Every input explained (and how it changes behavior) ### A) Trend & HTF structure * **EMA Fast / Slow / Long (`emaFastLen`, `emaSlowLen`, `emaLongLen`)** Control the baseline regime. Larger = smoother, fewer flips; smaller = snappier, more flips. * **HTF EMA Len (`htfLen`)** & **HTF timeframe (`htfTF`)** HTF slope filter. Longer len or higher TF = steadier bias (fewer state changes); shorter/ lower = more sensitive. * **Strict NR (`strictNR`)** `true` uses the **previous** HTF bar for slope and evaluates on confirmed bars → cleaner, slower. ### B) Momentum (TSI) * **TSI Long / Short / Signal (`tsiLong`, `tsiShort`, `tsiSig`)** Standard TSI. Larger values = smoother momentum, fewer EXH triggers; smaller = snappier, more EXH sensitivity. ### C) Stretch (VWAP Z-score) * **VWAP Z-score length (`zLen`)** Window for Z over session-anchored VWAP distance. Larger = smoother |Z|; smaller = more reactive stretch detection. * **Exhaustion |Z| (`zHot`)** Minimum |Z| to flag **EXH**. Raise to demand **bigger** stretch (fewer EXH); lower to catch milder excess. * **Max |Z| for NEW (`zNewMax`)** NEW requires |Z| **≤ zNewMax** (avoid “new trend” when already stretched). Lower = stricter; higher = more NEW tags. ### D) States & thresholds * **Uptrend threshold (`upThresh`)** / **Downtrend threshold (`dnThresh`)** Where the oscillator flips into trend states. Widen (e.g., +60/−60) to reduce false states; narrow to get earlier signals. * **Neutral band (`neutralBand`)** Visual buffer around zero for “meh” momentum. Larger band = fewer go/no-go flips near zero. ### E) Visuals & tags * **Show New / Show Exhausted (`showNew`, `showExh`)** Toggle the tag labels. * **Shade exhaustion heat (`plotHeat`)** On = color background when EXH fires. Helpful for scanning. ### F) Smoothing * **Osc smoothing (`smoothLen`)** EMA over the raw composite. Higher = steadier line (fewer whip flips); lower = faster turns. --- ## Tuning recipes * **Trend-day bias (follow moves longer)** * Raise **`upThresh`** to \~60 and **`dnThresh`** to \~−60 * Keep **`zNewMax`** low (1.0–1.2) to avoid “fresh trend” when stretched * **`smoothLen`** 3–5 to reduce noise * **Range-day bias (fade edges)** * Keep thresholds closer (e.g., +50/−50) for quicker state changes * Lower **`zHot`** slightly (1.6–1.7) to catch earlier exhaustion * Consider slightly shorter TSI (e.g., 21/9/5) for faster EXH response * **Scalping LTF (1–3m)** * TSI 21/9/5, **`smoothLen`** 1–2 * Thresholds +/-50; **`zNewMax`** 1.0–1.2; **`zHot`** 1.6–1.8 * StrictNR **off** if you want earlier calls (accept more noise) * **Swing / HTF (1h–D)** * TSI 35/21/9, **`smoothLen`** 4–7 * Thresholds +/-60\~65; **`zNewMax`** 1.2; **`zHot`** 1.8–2.0 * StrictNR **on** for cleaner bias --- ## Playbooks (how to actually trade it) * **Go/No-Go Filter** * Only take **long entries** when the oscillator is **above the neutral band** (preferably ≥ `upThresh`). * Only take **short entries** when **below** the neutral band (preferably ≤ `dnThresh`). * Avoid fresh go-with entries if an **EXH** tag appears; let the next setup re-arm. * **Trend Genesis** * Treat **NEW↑ / NEW↓** as “green light” for **first pullback** entries in the new direction (ideally within acceptable |Z|). * **Trend Maturity** * When in a position and **EXH** prints **against** you, tighten stops, take partials, or lean on your exit tool to protect gains. --- ## Suggested starting points * **Day trading (5–15m):** * TSI 25/13/7, `smoothLen=3`, thresholds **+55 / −55**, `zNewMax = 1.2`, `zHot = 1.8`, **StrictNR = true** * **Scalping (1–3m):** * TSI 21/9/5, `smoothLen=1–2`, thresholds **+50 / −50**, `zNewMax = 1.1–1.2`, `zHot = 1.6–1.8`, **StrictNR = false** (optional) * **Swing (1h–D):** * TSI 35/21/9, `smoothLen=4–6`, thresholds **+60 / −60**, `zNewMax = 1.2`, `zHot = 1.9–2.0`, **StrictNR = true** --- ## Notes & best practices * **Session anchoring**: Z-score is session-anchored (resets by trading date). If you trade outside standard sessions, verify your data session. * **Instrument specificity**: Tune **`zHot`**, **`zNewMax`**, and thresholds per symbol and timeframe. * **Bar-close discipline**: Evaluate tags at **bar close** to avoid intrabar flip-flop. * This is a **context/confirmation tool**, not a broker or strategy. Combine with your entry/exit rules and position sizing. --- **Tip:** Start with the suggested day-trading profile. Use this oscillator as your **gate** (only trade with it), let your entry engine time executions, and rely on your exit tool for standardized profit-taking.
Pine Script® indicator
by jensenvilhelm
Fabian Z-ScoreFabian Z-Score — % Distance & Z-Scores for SPX / DJI / XLU What it does This indicator measures how far three market proxies are from a moving average and standardizes those distances into z-scores so you can spot stretch/mean-reversion and relative out/under-performance. Universe: S&P 500 (SPX), Dow Jones (DJI) and Utilities (XLU). You can change any of these in Inputs. Anchor MA: user-selectable MA type (SMA/EMA/RMA/WMA/VWMA/HMA/LSMA/ALMA) and length (default 39; a popular weekly anchor). Outputs % from MA: 100 × (𝐶𝑙𝑜𝑠𝑒 − 𝑀𝐴) / 𝑀𝐴 Time-series Z: z-score of the last N % distances (default 39) → “how stretched vs its own history?” Cross-sectional Z: z-score of each % distance within the trio on this bar → “who’s strongest vs the others right now?” A compact mini table (top-right) shows the latest values for each symbol: % from MA, Z(ts) and Z(xsec). Panels & Visualization Toggle what you want to see in View: Plot % distance — raw % above/below the MA (0% line shown). Plot time-series Z — standardized stretch with ±Threshold guides (default ±2σ). Plot cross-sectional Z — relative z across SPX, DJI, XLU (0 = at the trio’s mean). Smoothing — optional light MA on the plotted series (set to 1 for none). A price-panel Moving Average is drawn with your chosen type/length for visual context. Colors: SPX = teal, DJI = orange, XLU = purple. Alerts Two built-in alert conditions (time-series Z only): “Z(ts) crosses up +Thr” — any of the three crosses above +Threshold. “Z(ts) crosses down -Thr” — any crosses below −Threshold. When enabled, the chart background tints faint green (up cross) or red (down cross) on those bars. How to use (ideas, not advice) On weekly charts, a 39-length MA/Z lookback often captures major risk-on/off swings. (Fabian Timing) Deep negative Z(ts) (e.g., ≤ −2σ or −3σ) frequently accompanies panic and mean-reversion setups. High positive Z(ts) suggests over-extension; watch for momentum fades. Cross-sectional Z helps rank leadership today: Z(xsec) > 0 → stronger than the trio’s mean this bar; Z(xsec) < 0 → weaker. Utilities (XLU) turning positive x-sec while the others are negative can hint at defensive rotation. If all 3 are above 0, go long, if below 0 go cash. Combine: look for extreme Z(ts) aligning with lead/lag Z(xsec) to time entries/exits or hedges. Inputs (quick reference) Symbols: SPX / DJI / XLU (editable). MA type & length: SMA, EMA, RMA, WMA, VWMA, HMA, LSMA, ALMA; default EMA(39). Z-score lookback (ts): default 39. Smoothing on plots: default 1 (off). Z threshold (±): default 2.0 (guide lines & alerts).
Pine Script® indicator
by GabrielAmadeusLau
ABS NR — Fail-Safe Confirm (v4.2.2) # ABS NR — Fail-Safe Confirm (v4.2.2) ## What it is (quick take) **ABS NR FS** is a **non-repainting “arm → confirm” entry framework** for intraday and swing execution. It blends: * **Regime** (EMA stack + 60-min slope), * **Location** (Keltner basis/edges), * **Stretch** (session-anchored **VWAP Z-score**), * **Momentum gating** (TSI cross/slope), * **Guards** (session window, minimum ATR%, gap filter, optional market alignment). You’ll see a **small dot** when a setup is **armed** (candidate) and a **triangle** when that setup **confirms** within a user-defined number of bars. A **gray “X”** marks a timeout (candidate canceled). > Tip: This entry tool works best when paired with a trend context filter and a dedicated exit tool. --- ## How to use it (operational workflow) 1. **Read the regime** * **Bull trend**: fast > slow > long EMA **and** 60-min slope up. * **Bear trend**: fast < slow < long EMA **and** 60-min slope down. * **Range**: neither bull nor bear. 2. **Wait for a candidate (dot)** Two families: * **Reclaim (trend-following):** price crosses the **KC basis** with acceptable |Z| (not overstretched) and passes the TSI gate. * **Fade (range-revert):** price **pokes a KC band**, prints a **reversal wick**, |Z| is stretched, and TSI gate agrees. 3. **Trade the confirmation (triangle)** The confirm must occur **within N bars** and follow your chosen **Confirm mode** logic (see Inputs). If confirmation doesn’t arrive in time, an **X** cancels the candidate. 4. **Use guards to avoid junk** Session windows (US focus), minimum ATR%, gap guard, and optional **market alignment** (e.g., SPY above EMA20 for longs). 5. **Manage the position** * Entries: take **triangles** in the direction of your playbook (reclaims with trend; fades in clean ranges). * Filters and exits: use your own process or pair with a trend/exit companion. --- ## Visual semantics & alerts * **Candidate L / S (dot)** → a setup armed on this bar. * **CONFIRM L / S (triangle)** → actionable signal that met confirm rules within your time window. * **Cancel L / S (X)** → candidate expired without confirmation; ignore the dot. **Alerts (stable names for automation):** * **ABS FS — Confirmed** → fires on confirmed long or short. * **ABS FS — Candidate Armed** → fires as a candidate arms. --- ## Non-repainting behavior (why signals don’t repaint) * All HTF requests use **lookahead\_off**. * With **Strict NR = true**, the 60-min slope uses the **prior completed** 60-min bar and arming/confirming only occurs on confirmed bars. * Confirmation triangles finalize on bar close. * If you disable strictness, signals may appear slightly earlier but with more intrabar sensitivity. --- ## Inputs reference (what each control does and the trade-offs) ### A) Behavior / Modes **Mode** (`Turbo / Aggressive / Balanced / Conservative`) Changes multiple internal thresholds: * **Turbo** → most signals; relaxes prior-bar break & VWAP-side checks and time/vol/gap guards. Highest frequency, highest noise. * **Aggressive** → more signals than Balanced, fewer than Turbo. * **Balanced** → default; steady trade-off of frequency vs. quality. * **Conservative** → tightens |Z| and other checks; fewest but cleanest signals. **Strict NR (bar close + prior HTF 60m)** * **true** = safer: uses prior 60-min slope; arms/confirms on confirmed bars → **fewer/cleaner** signals. * **false** = earlier and more reactive; slightly noisier. --- ### B) Keltner Channel (location engine) * **KC EMA Length (`kcLen`)** Higher → smoother basis (fewer basis crosses). Lower → snappier basis (more crosses). * **ATR Length (`atrLen`)** Higher → steadier band width; Lower → more reactive band width. * **KC ATR Mult (`kcMult`)** Higher → wider bands (fewer edge pokes → fewer fades). Lower → narrower (more fades). --- ### C) Trend & HTF slope * **Trend EMA Fast/Slow/Long (`emaFastLen / emaSlowLen / emaLongLen`)** Larger = slower regime flips (fewer reclaims); smaller = faster flips (more reclaims). * **HTF EMA Len (60m) (`htfLen`)** Larger = steadier HTF slope (fewer signals); smaller = more sensitive (more signals). --- ### D) VWAP Z-Score (stretch / mean-revert logic) * **VWAP Z-Length (`zLen`)** Window for Z over session-anchored VWAP distance. Larger = smoother |Z| (fewer fades/re-entries). Smaller = more reactive (more). * **Range Fade |Z| (base) (`zFadeBase`)** Minimum |Z| to allow **fades** in ranges. Raise to demand more stretch (fewer fades). Lower to take more fades. * **Max |Z| Trend Re-entry (base) (`maxZTrendBase`)** Caps how stretched price can be and still permit **reclaims** with trend. Lower = stricter (avoid chases). Higher = will chase further. --- ### E) TSI Momentum Gate * **TSI Long/Short/Signal (`tsiLong / tsiShort / tsiSig`)** Larger = smoother/laggier momentum; smaller = snappier. * **TSI gate (`CrossOnly / CrossOrSlope / Off`)** * **CrossOnly**: require TSI cross of its signal (strict). * **CrossOrSlope**: cross *or* favorable slope (balanced default). * **Off**: no momentum gate (most signals, most noise). --- ### F) Guards (filters to avoid low-quality tape) * **US focus 09:35–10:30 & 14:00–15:45 (base) (`useTimeBase`)** `true` limits to high-quality windows. `false` trades all session. * **Skip N bars after 09:30 ET (`skipFirst`)** Skips the open scramble. Larger = skip longer. * **Min volatility ATR% (base)** = `useVolMinBase` + `atrPctMinBase` Requires `ATR(10)/Close*100 ≥ atrPctMinBase`. Raise threshold to avoid dead tape; lower to accept quieter sessions. * **Gap guard (base)** = `gapGuardBase` + `gapMul` Blocks signals when the opening gap exceeds `gapMul * ATR`. Increase `gapMul` to allow more gapped opens; decrease to be stricter. --- ### G) Visuals & Sides * **Plot Keltner (`plotKC`)** → show/hide basis & bands. * **Show Longs / Show Shorts** → enable/disable each side. --- ### H) Fail-Safe Confirmation * **Confirm mode (`BreakHighOnly / BreakHigh+Hold / TwoBarImpulse`)** * **BreakHighOnly**: confirm by taking out the armed bar’s extreme. Fastest, most frequent. * **BreakHigh+Hold**: must **break**, have **body ≥ X·ATR**, **and** hold above/below the basis → higher quality, fewer signals. * **TwoBarImpulse**: decisive follow-through vs. prior bar with **body ≥ X·ATR** → momentum-biased confirmations. * **Confirm within N bars (`confirmBars`)** Confirmation window size. Smaller = faster validation; larger = more patience (can be later). * **Impulse body ≥ X·ATR (`impulseBodyATR`)** Raise for stronger confirmations (fewer weak triangles). Lower to accept lighter pushes. * **Require market alignment (`needMarket`) + `marketTicker`** When enabled: Longs require **market > EMA20 (5m)**; Shorts require **market < EMA20 (5m)**. * **Diagnostics: Show debug letters (`debug`)** Tiny “B/C” audit marks for base/confirm while tuning. --- ## Tuning recipes (quick, practical) * **If you’re getting chopped:** * Set **Mode = Conservative** * **Confirm mode = BreakHigh+Hold** * Raise **impulseBodyATR** (e.g., 0.45) * Keep **needMarket = true** * Keep **Strict NR = true** * **If you need more signals:** * **Mode = Aggressive** (or Turbo if you accept more noise) * **Confirm mode = BreakHighOnly** * Lower **impulseBodyATR** (0.25–0.30) * Increase **confirmBars** to 3 * **Range-day focus (fades):** * Keep session guard on * Raise **zFadeBase** to demand real stretch * Keep **maxZTrendBase** moderate (don’t chase) * **Trend-day focus (reclaims):** * Slightly **lower `maxZTrendBase`** (avoid chasing excessive stretch) * Use **CrossOrSlope** TSI gating * Consider turning **needMarket** on --- ## Best practices & notes * **Instrument specificity:** Tune Z, TSI, and guards per symbol and timeframe. * **Session awareness:** Session filter uses **exchange-local** time; adjust for non-US markets. * **Automation:** Use the two provided alert names; they’re stable. * **Risk management:** Confirmation improves quality but doesn’t remove risk. Always pre-define stop/size logic. --- ## Suggested starting point (balanced profile) * **Mode = balanced** * **Strict NR = true** * **Confirm mode = BreakHigh+Hold** * **confirmBars = 2** * **impulseBodyATR ≈ 0.35** * **needMarket = off** (turn on for extra confluence) * Leave Keltner/TSI defaults; then nudge `zFadeBase` and `maxZTrendBase` to match your symbol. --- *This tool is a signal generator, not a broker or strategy. Validate on your markets/timeframes and integrate with your risk plan.*
Pine Script® indicator
by jensenvilhelm
ATR: Body % + Ranges and AnomaliesATR: Body % + Ranges and Anomalies This indicator provides a dual analysis of price bars to help you better understand market dynamics and volatility. It combines two powerful concepts into one tool: a candle body percentage and a range analysis with an anomaly-excluding average. Key Features: 1. Candle Body Percentage This feature plots the size of the candle's body as a percentage of its total high-low range. A high percentage (e.g., above the 50% gray line) indicates strong, directional movement. The more solid the body is relative to its wicks, the more conviction is behind that move. The 100% red line marks "Marubozu" candles—bars with no wicks, showing absolute control by buyers or sellers. 2. Range Analysis with Anomalies This is a unique part of the indicator that helps you identify and understand normal vs. abnormal volatility. Custom SMA: It calculates an average range of the last N bars, but it smartly excludes "anomalous" bars (spikes or unusually small ranges) from the calculation. This gives you a more reliable baseline for normal volatility. Anomaly Detection: Bars are colored differently based on their range: Blue: Small anomalies (range less than 0.5 * ATR). These often occur during periods of low liquidity or indecision. Red: Large anomalies (range greater than 1.8 * ATR). These can signal a sudden burst of volatility, breakout events, or capitulation. ATR Range % Label: The label on the chart shows the current bar's range as a percentage of the custom SMA. This tells you how much larger or smaller the current bar's range is compared to a clean average. How to Use: Spotting Trends: Use the Body % to confirm the strength of a trend. A series of bars with high body percentages can indicate a strong, healthy trend. Identifying Volatility: Use the Range Analysis to find areas of interest. A large red anomaly bar could signal a significant event, while a series of blue anomalies might suggest the market is in a tight consolidation before a breakout. Contextual Analysis: The combination of these tools can provide powerful context. For example, a bar with a high Body % and a red anomaly color suggests a strong, volatile move that could be a turning point or the start of a major trend. Experiment with the input settings to fine-tune the ATR and SMA periods for different timeframes and assets.
Pine Script® indicator
by ochenmac
1
Trend & Dynamic S/R (5m Day-Trade Helper)Trend & Dynamic S/R (5m Day-Trade Helper) Identify market regime, track intraday structure, and plot dynamic support/resistance — all in one tool. This indicator is built for intraday traders (optimized for the 5-minute chart) who need fast, reliable read-outs of trend direction and key price levels without repainting. Core features Trend detection engine – Combines multi-timeframe EMAs, VWAP slope, price structure (HH/HL vs LL/LH), and ADX strength into a single trend score. Clear regime states – Side panel shows UPTREND, DOWNTREND, or NO TREND, along with current score, ADX value, and nearest support/resistance. Dynamic support/resistance – Auto-detects confirmed pivots, clusters them within an ATR-scaled range, and tracks the strongest levels as right-extended lines. Non-repainting logic – All higher-timeframe values are locked to prior bars; pivots only register when confirmed; calculations are done per bar with no future-bar lookahead. Intraday visual clarity – Bar-tinting optional; EMA and VWAP overlays; panel display can be positioned anywhere on chart. Adjustable sensitivity – Four presets (Conservative → Turbo) adapt thresholds for different market conditions. How to use Apply to a 5-minute chart (works on any TF, but tuned for intraday). Use the trend panel to align with market regime before entering trades. Watch dynamic S/R lines for potential reversal zones, breakout targets, or pullback entries. Combine with your own execution rules and risk management. Best for: scalpers, momentum traders, and short-term swing traders who want a fast, at-a-glance market read without sifting through multiple indicators.
Pine Script® indicator
by pitretmed
TCK Distribution BarI tried searching for a TV Indicator which helped identify chart with massive overhead selling. I searched for it and could not find it. Hence I created my first Custom indicator "TCK Distribution Bar". It identifies days with:- *** % drop ≥ 5% (configurable): Compares the close to either the previous close or the open, with a configurable drop percentage. *** Volume > 50-day SMA (configurable): Checks if the current volume exceeds the SMA of volume over a configurable period. *** Close in bottom 1/3rd of the day’s range: Ensures the close is in the lower third of the high-low range, calculated as (close - low) / (high - low) ≤ 0.33. You can choose to either label such days or create a triangle or circle on top of candles/bars in chart for easy identification. I have shared it if anyone finds it useful.
Pine Script® indicator
by TheChartKnight
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) . While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach: It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility . The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio. This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging. ──────────────────────────────────────────────────────────── ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ How It Works ╰────────────╯ 1. Standard Deviation Calculation ‎ ‎ ‎ ‎ ‎ • Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`). ‎ 2. Directional Separation ‎‎ ‎ ‎ ‎ • Volatility on up bars (`chg > 0`) is treated as upward volatility . ‎ ‎ ‎ ‎ ‎‎ • Volatility on down bars (`chg < 0`) is treated as downward volatility . 3. Rolling Sum ‎ ‎ ‎ ‎ ‎ • Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`. 4. Relative Volatility Mass ‎‎ ‎ ‎ ‎ • The two sums are added together to get the total volatility mass for the rolling window. Formula: RVM = Σ(σ up) + Σ(σ down) where σ is the standard deviation over `stdDevLen`. ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Key Features ╰────────────╯ Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines. Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period. Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA. Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier. Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source. ╭─────╮ ‎ ‎ ‎ ‎ ‎ ‎ Usage ╰─────╯ Trend Confirmation: High RVM values can confirm strong trending conditions. Breakout Detection: Spikes in RVM often precede or accompany price breakouts. Volatility Cycle Analysis: Compare periods of contraction and expansion. RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters. Consider normalizing or using smoothing for easier visual comparison. ╭────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Example Settings ╰────────────────╯ Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10` Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20` Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history. ╭───────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Notes & Limitations ╰───────────────────╯ Not a directional signal by itself — use alongside price structure, volume, or other indicators. Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness. Because it sums, not averages, values will scale with both volatility and chosen window size. ╭───────╮ ‎ ‎ ‎ ‎ ‎ ‎ Credits ╰───────╯ Based on the Relative Volatility Index concept by Donald Dorsey (1993). TradingView SciQua - Joshua Danford
Pine Script® indicator
by JoshuaDanford
Advanced VWAP Position SizerBelow is a TradingView description for the "Advanced VWAP Position Sizer" script, written in a clear and concise manner suitable for the platform's indicator description field. The description highlights the script's purpose, features, and usage instructions, tailored to its functionality based on the provided code. --- ### Advanced VWAP Position Sizer **Category:** Custom Indicators **Type:** Overlay The **Advanced VWAP Position Sizer** is a powerful trading tool that combines the Volume Weighted Average Price (VWAP) with dynamic position sizing based on your portfolio risk tolerance. This indicator calculates the VWAP with customizable anchor periods and band levels, then determines the optimal trade size to ensure the full distance between the VWAP centerline and a selected band does not exceed 0.3% of your daily portfolio balance. Ideal for day traders seeking to manage risk effectively while leveraging VWAP-based strategies. #### Key Features: - **Customizable VWAP**: Adjust the anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits) to reset the VWAP calculation based on your preferred timeframe. - **Band Calculations**: Displays upper and lower bands using Standard Deviation or Percentage-based multipliers (1.0, 2.0, 3.0), with options to show/hide each band level. - **Percentage Difference**: Calculates the percentage difference between the VWAP centerline and the selected band (Upper or Lower), automatically chosen based on trade direction (Long/Short). - **Position Sizing**: Determines the number of shares to trade based on a user-defined portfolio balance and a 0.3% risk limit, accounting for stop loss distance, commissions, and slippage. - **Interactive Table**: Displays real-time data including Risk per Trade, VWAP-to-Band Distance, Band % Difference, Risk per Share, Shares, and Position Value, with black text for readability. - **Flexible Entry**: Supports manual entry price or uses the current price, with customizable stop levels relative to the band distance. #### How to Use: 1. **Input Your Settings**: - Set your daily **Portfolio Balance** (e.g., $50,000) to reflect your current capital. - Adjust the **Risk % of Portfolio** (default 0.3%) to define your risk tolerance. - Choose your **Direction** (Long or Short) and **Band** (Upper, Lower, or Auto by Direction). - Select **Entry Price** mode (Current Price or Manual) and set a manual entry if needed. - Configure **VWAP Settings** (Anchor Period, Source, Offset) and **Bands Settings** (Calculation Mode, Multipliers). - Add **Commission** and **Slippage** per share, and enable **Fractional Shares** if desired. - Position the table (Top Right, Bottom Right, Top Left, Bottom Left). 2. **Interpret the Table**: - **Risk / Trade**: Total risk amount based on your portfolio and risk percentage. - **VWAP→Band Dist**: Dollar distance from VWAP to the selected band. - **Band % Diff**: Percentage difference between VWAP and the band, ensuring it stays within 0.3% of your portfolio. - **Risk / Share**: Risk per share including stop distance and costs. - **Shares**: Recommended number of shares to trade. - **Position $**: Total position value based on shares and entry price. 3. **Trading Strategy**: - Use the VWAP as a trend indicator and the bands for potential entry/exit points. - Adjust your position size to align with the calculated shares, ensuring your risk does not exceed 0.3% of your portfolio balance. - Monitor the **Entry** and **Stop** plots for trade execution and risk management. #### Notes: - This indicator overlays on the price chart and requires volume data to function correctly. - The table updates on the last bar and may not display on timeframes (1D or above) if "Hide VWAP on 1D or Above" is enabled. - Ensure your portfolio balance is updated daily to reflect accurate risk calculations. - Compatible with Pine Script v6; adjust to v5 if compatibility issues arise. **Disclaimer**: This is not financial advice. Consult a financial advisor and avoid sharing personal identifiable information.
Pine Script® indicator
by Jack_of_Trades33
Information-Geometric Market DynamicsInformation-Geometric Market Dynamics The Information Field: A Geometric Approach to Market Dynamics By: DskyzInvestments Foreword: Beyond the Shadows on the Wall If you have traded for any length of time, you know " the feeling ." It is the frustration of a perfect setup that fails, the whipsaw that stops you out just before the real move, the nagging sense that the chart is telling you only half the story. For decades, technical analysis has relied on interpreting the shadows—the patterns left behind by price. We draw lines on these shadows, apply indicators to them, and hope they reveal the future. But what if we could stop looking at the shadows and, instead, analyze the object casting them? This script introduces a new paradigm for market analysis: Information-Geometric Market Dynamics (IGMD) . The core premise of IGMD is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an " information field " generated by the collective actions and beliefs of all market participants. This is not just another collection of indicators. It is a unified framework for measuring the geometry of the market's information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality. By fusing advanced mathematical and informational concepts, IGMD provides a multi-faceted lens through which to view market behavior, moving beyond simple price action into the very structure of market information itself. Prepare to move beyond the flatland of the price chart. Welcome to the information field. The IGMD Framework: A Multi-Kernel Approach What is a Kernel? The Heart of Transformation In mathematics and data science, a kernel is a powerful and elegant concept. At its core, a kernel is a function that takes complex, often inscrutable data and transforms it into a more useful format. Think of it as a specialized lens or a mathematical "probe." You cannot directly measure abstract concepts like "market memory" or "trend quality" by looking at a price number. First, you must process the raw price data through a specific mathematical machine—a kernel—that is designed to output a measurement of that specific property. Kernels operate by performing a sort of "similarity test," projecting data into a higher-dimensional space where hidden patterns and relationships become visible and measurable. Why do creators use them? We use kernels to extract features —meaningful pieces of information—that are not explicitly present in the raw data. They are the essential tools for moving beyond surface-level analysis into the very DNA of market behavior. A simple moving average can tell you the average price; a suite of well-chosen kernels can tell you about the character of the price action itself. The Alchemist's Challenge: The Art of Fusion Using a single kernel is a challenge. Using five distinct, computationally demanding mathematical engines in unison is an immense undertaking. The true difficulty—and artistry—lies not just in using one kernel, but in fusing the outputs of many . Each kernel provides a different perspective, and they can often give conflicting signals. One kernel might detect a strong trend, while another signals rising chaos and uncertainty. The IGMD script's greatest strength is its ability to act as this alchemist, synthesizing these disparate viewpoints through a weighted fusion process to produce a single, coherent picture of the market's state. It required countless hours of testing and calibration to balance the influence of these five distinct analytical engines so they work in harmony rather than cacophony. The Five Kernels of Market Dynamics The IGMD script is built upon a foundation of five distinct kernels, each chosen to probe a unique and critical dimension of the market's information field. 1. The Wavelet Kernel (The "Microscope") What it is: The Wavelet Kernel is a signal processing function designed to decompose a signal into different frequency scales. Unlike a Fourier Transform that analyzes the entire signal at once, the wavelet slides across the data, providing information about both what frequencies are present and when they occurred. The Kernels I Use: Haar Kernel: The simplest wavelet, a square-wave shape defined by the coefficients . It excels at detecting sharp, sudden changes. Daubechies 2 (db2) Kernel: A more complex and smoother wavelet shape that provides a better balance for analyzing the nuanced ebb and flow of typical market trends. How it Works in the Script: This kernel is applied iteratively. It first separates the finest "noise" (detail d1) from the first level of trend (approximation a1). It then takes the trend a1 and repeats the process, extracting the next level of cycle (d2) and trend (a2), and so on. This hierarchical decomposition allows us to separate short-term noise from the long-term market "thesis." 2. The Hurst Exponent Kernel (The "Memory Gauge") What it is: The Hurst Exponent is derived from a statistical analysis kernel that measures the "long-term memory" or persistence of a time series. It is the definitive measure of whether a series is trending (H > 0.5), mean-reverting (H < 0.5), or random (H = 0.5). How it Works in the Script: The script employs a method based on Rescaled Range (R/S) analysis. It calculates the average range of price movements over increasingly larger time lags (m1, m2, m4, m8...). The slope of the line plotting log(range) vs. log(lag) is the Hurst Exponent. Applying this complex statistical analysis not to the raw price, but to the clean, wavelet-decomposed trend lines, is a key innovation of IGMD. 3. The Fractal Dimension Kernel (The "Complexity Compass") What it is: This kernel measures the geometric complexity or "jaggedness" of a price path, based on the principles of fractal geometry. A straight line has a dimension of 1; a chaotic, space-filling line approaches a dimension of 2. How it Works in the Script: We use a version based on Ehlers' Fractal Dimension Index (FDI). It calculates the rate of price change over a full lookback period (N3) and compares it to the sum of the rates of change over the two halves of that period (N1 + N2). The formula d = (log(N1 + N2) - log(N3)) / log(2) quantifies how much "longer" and more convoluted the price path was than a simple straight line. This kernel is our primary filter for tradeable (low complexity) vs. untradeable (high complexity) conditions. 4. The Shannon Entropy Kernel (The "Uncertainty Meter") What it is: This kernel comes from Information Theory and provides the purest mathematical measure of information, surprise, or uncertainty within a system. It is not a measure of volatility; a market moving predictably up by 10 points every bar has high volatility but zero entropy . How it Works in the Script: The script normalizes price returns by the ATR, categorizes them into a discrete number of "bins" over a lookback window, and forms a probability distribution. The Shannon Entropy H = -Σ(p_i * log(p_i)) is calculated from this distribution. A low H means returns are predictable. A high H means returns are chaotic. This kernel is our ultimate gauge of market conviction. 5. The Transfer Entropy Kernel (The "Causality Probe") What it is: This is by far the most advanced and computationally intensive kernel in the script. Transfer Entropy is a non-parametric measure of directed information flow between two time series. It moves beyond correlation to ask: "Does knowing the past of Volume genuinely reduce our uncertainty about the future of Price?" How it Works in the Script: To make this work, the script discretizes both price returns and the chosen "driver" (e.g., OBV) into three states: "up," "down," or "neutral." It then builds complex conditional probability tables to measure the flow of information in both directions. The Net Transfer Entropy (TE Driver→Price minus TE Price→Driver) gives us a direct measure of causality . A positive score means the driver is leading price, confirming the validity of the move. This is a profound leap beyond traditional indicator analysis. Chapter 3: Fusion & Interpretation - The Field Score & Dashboard Each kernel is a specialist providing a piece of the puzzle. The Field Score is where they are fused into a single, comprehensive reading. It's a weighted sum of the normalized scores from all five kernels, producing a single number from -1 (maximum bearish information field) to +1 (maximum bullish information field). This is the ultimate "at-a-glance" metric for the market's net state, and it is interpreted through the dashboard. The Dashboard: Your Mission Control Field Score & Regime: The master metric and its plain-English interpretation ("Uptrend Field", "Downtrend Field", "Transitional"). Kernel Readouts (Wave Align, H(w), FDI, etc.): The live scores of each individual kernel. This allows you to see why the Field Score is what it is. A high Field Score with all components in agreement (all green or red) is a state of High Coherence and represents a high-quality setup. Market Context: Standard metrics like RSI and Volume for additional confluence. Signals: The raw and adjusted confluence counts and the final, calculated probability scores for potential long and short entries. Pattern: Shows the dominant candlestick pattern detected within the currently forming APEX range box and its calculated confidence percentage. Chapter 4: Mastering the Controls - The Inputs Menu Every parameter is a lever to fine-tune the IGMD engine. 📊 Wavelet Transform: Kernel ( Haar for sharp moves, db2 for smooth trends) and Scales (depth of analysis) let you tune the script's core microscope to your asset's personality. 📈 Hurst Exponent: The Window determines if you're assessing short-term or long-term market memory. 🔍 Fractal Dimension & ⚡ Entropy Volatility: Adjust the lookback windows to make these kernels more or less sensitive to recent price action. Always keep "Normalize by ATR" enabled for Entropy for consistent results. 🔄 Transfer Entropy: Driver lets you choose what causal force to measure (e.g., OBV, Volume, or even an external symbol like VIX). The throttle setting is a crucial performance tool, allowing you to balance precision with script speed. ⚡ Field Fusion • Weights: This is where you can customize the model's "brain." Increase the weights for the kernels that best align with your trading philosophy (e.g., w_hurst for trend followers, w_fdi for chop avoiders). 📊 Signal Engine: Mode offers presets from Conservative to Aggressive . Min Confluence sets your evidence threshold. Dynamic Confluence is a powerful feature that automatically adapts this threshold to the market regime. 🎨 Visuals & 📏 Support/Resistance: These inputs give you full control over the chart's appearance, allowing you to toggle every visual element for a setup that is as clean or as data-rich as you desire. Chapter 5: Reading the Battlefield - On-Chart Visuals Pattern Boxes (The Large Rectangles): These are not simple range boxes. They appear when the Field Score crosses a significance threshold, signaling a potential ignition point. Color: The color reflects the dominant candlestick pattern that has occurred within that box's duration (e.g., green for Bull Engulf). Label: Displays the dominant pattern, its duration in bars, and a calculated Confidence % based on field strength and pattern clarity. Bar Pattern Boxes (The Small Boxes): If enabled, these highlight individual, significant candlestick patterns ( BE for Bull Engulf, H for Hammer) on a bar-by-bar basis. Signal Markers (▲ and ▼): These appear only when the Signal Engine's criteria are all met. The number is the calculated Probability Score . RR Rails (Dashed Lines): When a signal appears, these lines automatically plot the Entry, Stop Loss (based on ATR), and two Take Profit targets (based on Risk/Reward ratios). They dynamically break and disappear as price touches each level. Support & Resistance Lines: Plots of the highest high ( Resistance ) and lowest low ( Support ) over a lookback, providing key structural levels. Chapter 6: Development Philosophy & A Final Word One single question: " What is the market really doing? " It represents a triumph of complexity, blending concepts from signal processing, chaos theory, and information theory into a cohesive framework. It is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate your analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field. As the great mathematician Benoit Mandelbrot , father of fractal geometry, noted: "Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line." Neither does the market. IGMD is a tool designed to navigate that beautiful, complex, and fractal reality. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
0DTE Credit Spreads IndicatorThis turnkey indicator was engineered for traders who sell OTM credit spreads into same-day expiration (0DTE). It is tuned and recommended for SPX on the 15-minute chart and is not intended for other symbols or timeframes. What you get: • Anchored trade signals — PCS (put credit spread) and CCS (call credit spread) are placed exactly on the candle that triggers. • Session stop loss — the stop is calculated and drawn as a horizontal SL line (and labeled) for the rest of the trading day so your exit level is obvious and persistent. • Clean, minimal visuals — only the permanent signal label and the SL are shown (no cluttering range lines). • Alerts & payload — built-in alerts fire at the trigger. • Smart credit guidance — the indicator captures market-volatility context to inform internal credit thresholds (used to compute suggested credits; not a trade recommendation). • Designed for speed — optimized for intraday use with pruning to prevent chart overload. Important: this tool is designed and tested specifically for SPX on the 15-minute timeframe — using it on other tickers or timeframes is not recommended. This is educational/technical output only and not financial advice; always manage risk and size positions appropriately. Avoid news days when using this as most 0dte credit spreads should not be played during news/data days.
Pine Script® indicator
by benwo
[Top] LHAMA SupertrendLHAMA Supertrend - Advanced Adaptive Trend Following System Overview The LHAMA Supertrend is an innovative trend-following indicator that combines adaptive moving average technology with intelligent signal confirmation. Unlike traditional supertrend indicators that rely on simple moving averages, this system uses my Low-High Adaptive Moving Average (🦙 LHAMA) algorithm that dynamically adjusts to market volatility and price action patterns. It is much more responsive to sudden price changes than traditional supertrend indicators, allowing you to jump in earlier and catch more of the move, and it manages this responsiveness without significantly increasing the number of false signals. What Makes This Original This indicator introduces several unique concepts not found in standard trend-following tools: LHAMA Algorithm : The core innovation is the Low-High Adaptive Moving Average, which adapts its responsiveness based on the frequency of new highs and lows within a lookback period. This creates a more intelligent baseline that responds appropriately to different market conditions. Delayed Confirmation System : Rather than generating immediate signals on price crossovers, the indicator implements a sophisticated confirmation mechanism using slope analysis. Signals are only triggered when both trend direction and momentum align, significantly reducing false signals. Volume Integration : Optional volume weighting enhances the adaptive calculation, giving more weight to price movements during high-volume periods. Daily Reset Functionality : Unique daily reset feature helps realign the indicator after overnight gaps, particularly useful for equity markets. How It Works LHAMA Calculation The LHAMA baseline adapts using a coefficient derived from: Frequency of new highs and lows in the lookback period Optional volume weighting factor Smoothed adaptation rate based on market activity The calculation: lhama = previous_lhama + momentum_adaptation * (price - previous_lhama) Where the momentum adaptation increases when markets are making new highs or lows, allowing faster response during trending conditions while providing stability during consolidation. Signal Generation The indicator uses a two-stage signal process: Trend Identification : Price position relative to LHAMA determines basic trend bias Slope Confirmation : ATR-normalized slope analysis confirms momentum direction Signal Timing : Buy/sell signals only trigger when trend direction and slope momentum align Visual Components LHAMA Line : The adaptive baseline with optional angle-based gradient coloring that visualizes momentum strength Trend Clouds : Dynamic fill areas that adapt to the last confirmed signal direction ATR Halo : Opposite-side ATR band providing optional additional context for stop-loss placement Confirmation Signals : Clear BUY/SELL labels only appear after full confirmation How to Use Basic Setup Apply to any timeframe and symbol Default LHAMA length of 15 periods works well for most applications Accuracy depends greatly on chart timeframe and symbol, so make sure to backtest before relying on any signals. For example, ES and NQ work best on the 15m timeframe while GC and CL work best on the 5m. Enable daily reset for equity markets to handle overnight gaps Signal Interpretation Immediate Heads-up : Small triangles show instant trend changes for awareness. These are your warnings to get ready to buy or sell if price takes off. (If many triangles are being printed in both directions, that is a warning that the market is ranging and you should not blindly follow a BUY/SELL signal without additional confirmation.) Confirmed Signals : BUY/SELL labels appear only after slope confirms the direction Cloud Color : Locked to the last confirmed signal direction for clear regime identification Advanced Features Flat Threshold : Adjust the angle threshold to filter out sideways market noise Gradient Mode : Toggle between classic supertrend coloring and momentum-based gradients ATR Halo : Use the opposite-side cloud as a more generous trailing stop level Risk Management The indicator provides multiple levels for stop-loss placement: Tight : Edge of the main trend cloud Standard : The LHAMA Line itself Generous : ATR halo boundary Best Practices Timeframe Selection : Not all timeframes on all symbols are created equal. Make sure to scroll to the left and verify that your current chart timeframe isn't throwing out tons of bad signals. This will be easy to spot as it show up as constant rapid flipping from buy to sell. Market Conditions : Performs best in trending markets. The flat threshold setting helps filter out poor performance during strong sideways action, but no indicator is perfect. Confirmation : Wait for confirmed BUY/SELL signals rather than acting on immediate trend flips for better risk-adjusted returns. Key Parameters LHAMA Length (15) : Controls the lookback period for adaptive calculation Daily Reset : Helps maintain accuracy across overnight gaps Flat Threshold (5°) : Filters out low-momentum signals Volume Weighting : Enhances adaptation during high-volume periods Alerts The indicator provides two alert types: "BUY (confirmed)": Triggers when bullish trend and upward slope align "SELL (confirmed)": Triggers when bearish trend and downward slope align These alerts fire only on confirmed signals, not on immediate price crossovers, providing higher-quality notifications. Innovation Summary This indicator advances trend-following methodology by introducing adaptive baseline calculation, intelligent signal confirmation, and comprehensive visual feedback systems. The combination of LHAMA adaptation, slope-based confirmation, and multi-layered risk management tools creates a more sophisticated approach to trend analysis than traditional supertrend indicators. The result is a tool that maintains responsiveness during trending conditions while providing stability during consolidation, with clear visual cues for entry, exit, and risk management decisions.
Pine Script® indicator
by TopTradesUA
VIX Term Structure Tracker [VX1!/VX2!]1. Data Preparation The script starts by fetching four key data series on a daily ("D") timeframe: VIX (CBOE:VIX): The spot VIX index, a real-time measure of market expectations of future volatility. VX1! (CBOE:VX1!): The price of the front-month (nearest to expiration) VIX futures contract. VX2! (CBOE:VX2!): The price of the next-month VIX futures contract. SPX (SP:SPX): The S&P 500 Index, which serves as a benchmark for the overall market. 2. Term Structure and Market Psychology The core of the indicator lies in analyzing the relationship between the futures prices. term_slope = vx2 - vx1: This calculates the difference between the next-month and front-month VIX futures prices. Contango: If vx2 > vx1, the slope is positive, and the market is in contango. This is the "normal" state, where traders expect volatility to be lower in the future. The script colors this background a light green. Backwardation: If vx2 < vx1, the slope is negative, and the market is in backwardation. This is a rare state indicating elevated fear. It means traders are willing to pay a premium for short-term protection against volatility, implying that an increase in fear is imminent. The script colors this background a light red. 3. Roll Yield Calculation roll_yield = ((vx1 - vix) / days_to_expiry) * 100: This calculates the estimated return (or loss) from rolling a futures position from the spot VIX to the front-month future. This is a key metric for understanding the cost of holding VIX futures. A negative roll yield means it is expensive to hold a long VIX position. 4. Equilibrium and Z-Score This section of the code provides a statistical measure to determine how extreme the current term structure is compared to its historical average. avg_slope = ta.sma(term_slope, 252): This calculates the one-year simple moving average of the term structure slope. z_score: This is the most powerful part of the indicator. It measures how many standard deviations the current term_slope is from its one-year average. A Z-score of +2 or higher indicates the market is in an extreme state of contango (complacency), where volatility is abnormally low. A Z-score of -2 or lower indicates an extreme state of backwardation (fear), where there's an abnormal surge in short-term volatility expectations. 5. Visualizations & Signals The script presents a comprehensive view of these metrics on the chart. plot(term_slope): Shows a blue line representing the VIX term structure slope. bgcolor(...): Visually highlights periods of contango (light green) and backwardation (light red). plot(roll_yield): Displays a column chart showing the roll yield, indicating the cost or benefit of holding VIX futures. plot(z_score): Shows an orange line representing the Z-score, with horizontal lines at +2 and -2 to highlight extreme conditions. plotshape(...): These are your trading signals. A red arrow pointing up (shape.labelup) appears at the bottom of the chart when the Z-score drops below -2 (extreme backwardation), and a green arrow pointing down (shape.labeldown) appears at the top when the Z-score goes above +2 (extreme contango). 6. Interpretation and Trading Signals The script provides a clear framework for interpreting market sentiment: Extreme Backwardation Signal (Red Arrow Up): When the Z-score falls to -2 or below, it signals a period of extreme market fear. This is often an excellent contrarian signal for buying the VIX (or related products) and/or for caution in long equity positions. Extreme Contango Signal (Green Arrow Down): When the Z-score rises to +2 or above, it signals a period of extreme market complacency. This can be a contrarian signal for selling the VIX (or related products) and/or for potential short-term weakness in the S&P 500. The VIX/SPX Risk Ratio also provides a good visual of volatility relative to the S&P 500, with an increasing ratio signaling a rising risk environment. Ultimately, this indicator provides a powerful way to visualize the VIX futures term structure and use statistical analysis (Z-score) to find high-probability signals of extreme market sentiment.
Pine Script® indicator
by chinodc1
VWATR + VIX + VVIX Trend Regime### 🤖 VWATR + VIX + VVIX Trend Regime — Your Ultimate Volatility Dashboard! 📊 This isn't just another indicator; it's a comprehensive dashboard that brings together everything you need to understand market volatility focused on Futures. It merges price-based movement with market-wide fear and sentiment, giving you a powerful edge in your trading and risk management. Think of it as your personal volatility sidekick, ready to help you navigate market uncertainty like a pro! *** ### ✨ What's Inside? * **VWATR (Volume-Weighted ATR):** A super-smart measure of price movement that pays close attention to where the big money is flowing. * **VIX (The "Fear Gauge"):** Tracks the expected volatility of the S&P 500, essentially telling you how nervous the market is feeling. * **VVIX (The "VIX of VIX"):** This one's for the pros! It measures how volatile the VIX itself is, giving you an early heads-up on potential fear spikes. * **VX Term Structure:** A clever way to see if traders are preparing for a crisis. It compares the two nearest VIX futures to spot a rare signal called "backwardation." * **Z-Scores:** It helps you spot when VIX and VVIX are at historic highs or lows, making it easier to predict when things might return to normal. * **Divergence Score:** A unique tool to flag potential market shifts when the VIX and VVIX start moving in completely different directions. * **Regime Classification:** The script automatically labels the market as "Full Panic," "Known Crisis," "Surface Calm," "Stress," or "Normal," so you always know where you stand. * **Gradient Bars:** A visual treat! The background of your chart changes color to reflect real-time volatility shifts, giving you an instant feel for the market's mood. * **Alerts:** Get push notifications on your phone for key events like "Full Panic" or "Backwardation" so you never miss a beat. *** ### 📝 Panel/Table Outputs This is your mission control! The on-screen table gives you a clean summary of the current market regime, VIX and VVIX values, their ratios, term structure, Z-scores, and signals. Everything you need, right where you can see it. *** ### 🚀 How to Get Started 1. **Check your data:** You'll need access to real-time data for VIX, VVIX, VX1!, and VX2!. A paid subscription might be necessary for this. 2. **Add it to your chart:** Use the indicator on any chart (we've set it to `overlay=false`) to get your full volatility dashboard. 3. **Tweak it to perfection:** Head over to the Settings panel to customize the thresholds, colors, and your all-important "Jolt Value." 4. **Start trading smarter:** Use the dashboard to inform your trades, hedge your portfolio, and manage risk with confidence. *** ### ⚙️ Customization & Key Settings * `showVWATR`: Toggle your price-volatility metric on or off. * `showExpectedVol`: See the expected volatility as a percentage of the current price. * `joltLevel`: This is a very important line on your chart! It's your personal trigger for when volatility is getting a little too wild. More on this below. * `enableGradientBars`: Turn the awesome colored background on or off. * `enableTable`: Hide or show your information table. * `VIX/VVIX/VX1!/VX2! symbols`: If your broker uses different symbols for these, you can change them here. * `VIX/VVIX thresholds`: Adjust these levels to fine-tune the indicator to your personal risk tolerance. *** ### 💡 Jolt Value: A Quick Guide for Smart Traders 🧠 The **jolt value** is your personal tripwire for volatility. Think of it as a warning light on your car's dashboard. You set the level, and when volatility (VWATR) crosses that line, you get an instant signal that something interesting is happening. **How to Set Your Jolt Value:** The ideal jolt value is dynamic. You want to keep it just a little above the current VIX level to stay alert without getting too many false alarms. | Current VIX Level | Market Regime | Recommended Jolt Value | | :--- | :--- | :--- | | Under 15 | Calm/Complacent | 15–16 | | 15–20 | Typical/Normal | 16–18 | | 20–30 | Cautious/Active | 18–22 | | Over 30 | Stress/Panic | 30+ | **A Pro Tip for August 2025:** Since the VIX is hovering around 14.7, setting your jolt value to **16.5** is a great starting point for keeping an eye on things. If the VIX starts to climb above 20, you should adjust your jolt level to match the new reality. *** ### ⚠️ Important Things to Note * You might experience some data delays if you're not on a paid TradingView plan or your broker does not provide real-time data for the VIX also VIX is only active during NY session, so it's not advised to use it outside of normal trading hours!
Pine Script® indicator
by mike_Ipp