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Indikatoren und Strategien

GME Warrant Tracker [theUltimator5]The GME Warrant Tracker was designed to be used for GME warrants tracking. The theory behind this indicator is that warrants are priced similarly to options and generally follow the same Greeks. With that assumption, we can break down the price of the warrants by using known Greeks to estimate either the theoretical price, or even estimate Implied Volatility (IV). The base settings for this indicator plot the calculated IV, the theoretical price (there are multiple methods of calculation which I will discuss later) and the current warrant price. You can toggle on or off all of these plots to display only what you want to track. For example, you can simply track the difference between the theoretical price and the current price to see if warrants are trading at a premium or a discount vs what the indicator calculates it to be. Calculating implied volatility is extremely difficult and must be approximated. The theoretical warrant price produced by this indicator depends primarily on the volatility input (σ) used in the Black–Scholes pricing model. This script supports five distinct methods for approximating σ, each extracting different information from the market. 1) Close-to-Close Historical Volatility Close-to-Close computes the standard deviation of daily close-to-close returns and uses a lookback window scaled to time-to-expiry. As the expiration approaches, the lookback window tightens, giving a more responsive volatility approximation relative to time-to-expiry. This option produces conservative approximations for volatility, and may lag actual volatility intraday. 2) Parkinson High-Low Volatility Parkinson High-Low volatility uses daily high and low prices to calculate intraday trading range for a more responsive estimation to volatility. It ignores opening and close gaps, so overnight volatility is not accounted for. This option produces higher theoretical volatility during choppy price action and can over estimate actual volatility. 3) Garman–Klass Volatility Garman–Klass volatility is a way to estimate how much price is fluctuating by using the open, high, low, and close for each period. Because it draws on multiple intraperiod price points (not just the range or close-to-close moves), it typically produces a tighter, more informative volatility estimate than simpler approaches. It’s often most helpful when gaps occur and when the open and close carry meaningful information about the session’s trading. 4)Yang–Zhang Volatility The Yang–Zhang volatility estimator is designed to account for both opening jumps and price drift. It estimates volatility by combining overnight (close-to-open) variance, intraday (open-to-close) variance, and a weighted Rogers–Satchell component using OHLC data, often yielding a more robust measure than simpler close-to-close style estimators. 5) Option price By default, the indicator uses the call option strike dated closest to the warrant expiration date. Since the Greeks for both the warrants and the options are assumed to be equivalent with a minor difference in theta (time-to-expiry), the theoretical price of the warrants closely matches the trade price of the call strike chosen. There is a table that can be enabled (off by default because it is large and fills entire screen on mobile) which shows all the configuration settings and Greeks. You can also manually adjust the "dilution" factor for the warrants, which shifts the number of active warrants and moves the count into the shares outstanding for the underlying (GME). The reason for this is that as warrants get exercised, the total quantity of warrants in circulation decreases and the the total quantity of shares outstanding increases. Since this indicator was built around the single warrant, ticker NYSE: GME/W, it is only meant to be used with NYSE:GME. Any other ticker will not work properly with this indicator.
Pine Script® Indikator
von TheUltimator5
A program written by a beginner# TXF Choppy Market Detector (Whipsaw Filter) ## Introduction This project is a technical indicator developed in **Pine Script v5**, specifically optimized for **Taiwan Index Futures (TXF)** intraday trading. The TXF market is known for its frequent periods of low-volatility consolidation following sharp moves, often resulting in "whipsaws" (double-loss scenarios for trend followers). This script utilizes **volatility analysis** and **trend efficiency metrics** to filter out noise and detect potential "Stop Hunting" or "Liquidity Sweep" setups within range-bound markets. ## Methodology & Algorithms The strategy operates on the principle of **Mean Reversion**, combining two core components: ### 1. Market Regime Filter: Choppiness Index (CHOP) We use the Choppiness Index (originally developed by E.W. Dreiss) to determine if the market is trending or consolidating based on **Fractal Dimension** theory. * **Logic**: The index ranges from 0 to 100. Higher values indicate low trend efficiency (consolidation), while lower values indicate strong directional trends. * **Condition**: `CHOP > Threshold` (Default: 50). * **Application**: When this condition is met, the background turns **gray**, signaling a "No-Trade Zone" for trend strategies and activating the Mean Reversion logic. ### 2. Whipsaw Detection: Bollinger Bands Bollinger Bands are used to define the dynamic statistical extremities of price action. * **Logic**: We identify **Fakeouts** (False Breakouts) that occur specifically during the choppy regime identified above. This is often where institutional traders hunt for liquidity (stops) before reversing the price. #### Signal Algorithms (Pseudocode) **A. Bull Trap (Washout High)** A false upside breakout designed to trap long traders. ```pine Condition: 1. Is_Choppy == true (Market is sideways) 2. High > Upper_Bollinger_Band (Price pierces the upper band) 3. Close < Upper_Bollinger_Band (Price fails to hold and closes back inside)
Pine Script® Indikator
von aammyytseng
QuantLabs Multi Asset Similarity Matrix [V3 Final]The Market is a graph. See the flows: The QuantLabs MASM is not a standard correlation table. It is an Alpha-Grade Scanner architected to reveal the hidden "hydraulic" relationships between global macro assets in real-time. Rebuilt from the ground up for Version 3, this engine pushes the absolute limits of the Pine Script™ runtime. It utilizes a proprietary Logarithmic Math Engine, Symmetric Compute Optimization, and a futuristic "Ghost Mode" interface to deliver a 15x15 real-time correlation matrix with zero lag. Under the Hood: The Quant Architecture We stripped away standard libraries to build a lean, high-performance engine designed for institutional-grade accuracy. 1. Alpha Math Engine (Logarithmic Returns) Most tools calculate correlation based on Price, which generates spurious signals (e.g., "Everything is correlated in a bull run"). The Solution: Our engine computes Logarithmic Returns (log(close /close )) by default. This measures the correlation of change (Velocity & Vector), not price levels. The Result: A mathematically rigorous view of statistical relationships that filters out the noise of general market drift. Dual-Core: Toggle seamlessly between "Alpha Mode" (Log Returns) for verified stats and "Visual Mode" (Price) for trend alignment. Calculation Modes: Pearson (Standard), Euclidean (Distance), Cosine (Vector), Manhattan (Grid). 2. Symmetric Compute Optimization Calculating a 15x15 matrix requires evaluating 225 unique relationships per bar, which often crashes memory limits. The Fix: The V3 Engine utilizes Symmetric Logic, recognizing that Correlation(A, B) == Correlation(B, A). The Gain: By computing only the lower triangle of the matrix and mirroring pointers to the upper triangle, we reduced computational load by 50%, ensuring a lightning-fast data feed even on lower timeframes. 3. Context-Aware "Ghost Mode" The UI is designed for professional traders who need focus, not clutter. Smart Detection: The matrix automatically detects your current chart's Ticker ID. If you are trading QQQ, the matrix will visually highlight the Nas100 row and column, making them opaque and bright while dimming the rest. Dynamic Transparency: Irrelevant data ("Noise" < 0.3 correlation) fades into the background. Only significant "Alpha Signals" (> 0.7) glow with full Neon Saturation. Key Features Dominant Flow Scanner: The matrix scans all 105 unique pairs every tick and prints the #1 Strongest Correlation at the bottom of the pane (e.g., DOMINANT FLOW: Bitcoin ↔ Nas100 ). Streak Counter: A "Stubbornness" metric that tracks how many consecutive days a strong correlation has persisted. Instantly identify if a move is a "flash event" or a "structural trend." Neon Palette: Proprietary color mapping using Electric Blue (+1.0) for lockstep correlation and Deep Red (-1.0) for inverse hedging. Usage Guide Placement: Best viewed in a bottom pane (Footer). Assets: Pre-loaded with the Essential 15 Macro Drivers (Indices, BTC, Gold, Oil, Rates, FX, Key Sectors). Fully editable via settings (Ticker|Name). Reading the Grid: 🔵 Bright Blue: Assets moving in lockstep (Risk-On). 🔴 Bright Red: Assets moving perfectly opposite (Hedge/Risk-Off). ⚫ Faded/Black: No statistical relationship (Decoupled). Key Improvements Made: Formatting: Added clear bullet points and bolding to make it scannable. Clarity: Clarified the "Logarithmic Returns" section to explain why it matters (Velocity vs. Price Levels). Tone: Maintained the "high-tech/quant" vibe but removed slightly clunky phrases like "spurious signals" (unless you prefer that academic tone, in which case I left it in as it fits the persona). Structure: Grouped the "Modes" under the Math Engine for better logic. Created and designed with love by David James @QuantLabs : )
Pine Script® Indikator
von CustomQuantLabs
Monthly High/Low - [JTCAPITAL]Monthly High/Low Probability Table - is a modified way to use historical monthly high and low tracking combined with probabilistic analysis for bullish and bearish months to detect potential patterns in monthly price behavior. The indicator works by calculating in the following steps: Variable Declaration Persistent variables ( var ) are used to store monthly highs, lows, open and close prices, and the days on which highs and lows occurred. Separate arrays track bullish and bearish month statistics for highs and lows ( highBull, lowBull, highBear, lowBear ). Counters ( bullCount, bearCount ) store the number of bullish and bearish months recorded. New Month Detection The script detects the start of a new month by comparing the current bar’s month to the previous bar’s month. If a new month is detected, the script proceeds to update statistics for the previous month. Monthly High/Low Recording and Classification At the start of each new month, the previous month’s high, low, open, and close are evaluated: If monthClose > monthOpen , the month is classified as bullish. If monthClose < monthOpen , the month is classified as bearish. The arrays ( highBull, lowBull, highBear, lowBear ) are updated at the respective high and low days of the month by incrementing counts, which allows the script to keep track of the frequency of monthly highs and lows occurring on specific days. Monthly High/Low Tracking During the month, the script continuously updates monthHigh and monthLow if the current bar’s high exceeds monthHigh or the low is below monthLow . The days on which these highs and lows occur are recorded ( highDay and lowDay ). The monthClose variable is continuously updated to the latest closing price. Probability Calculation Once monthly data is accumulated, the script calculates probabilities for each day of the month: bullHighProb and bullLowProb represent the probability (in percentage) that a bullish month’s high or low occurred on a given day. bearHighProb and bearLowProb represent the probability for bearish months. These probabilities are calculated by dividing the count of high or low occurrences on each day by the total number of bullish or bearish months, then multiplying by 100. This probabilistic approach allows traders to see recurring patterns for highs and lows across multiple months. Gradient Coloring Function The helper function gradientRelative computes a color gradient between lowColor and highColor based on the relative probability value. Higher probabilities are colored closer to highColor , and lower probabilities closer to lowColor . This visual representation allows for quick identification of the most probable days for highs and lows in bullish or bearish months. Dynamic Updates As new bars are processed, the table is updated in real-time with new probabilities reflecting the most recent month’s data. This dynamic behavior ensures that the table remains accurate and responsive to the latest market information. Buy and Sell Conditions: This indicator does not provide direct buy or sell signals. Instead, it provides probabilistic information about historical patterns for bullish and bearish months. Traders can use the table to: Identify days in the month where highs or lows are statistically more likely to occur. Combine with other trend-following or reversal strategies to optimize entry and exit points. For example, if a trader notices that bullish month highs frequently occur around day 15, they may plan trades around that period when other indicators align. Features and Parameters: Dynamic Probability Table : Updates in real-time as new monthly data becomes available. Historical Pattern Tracking : Maintains arrays for highs and lows in bullish and bearish months. Gradient Visualization : Uses color interpolation to quickly highlight higher probability days. Specifications: Monthly High/Low Tracking Tracks the highest and lowest prices within each month. This is the foundation of the probability calculations. It allows traders to understand when significant price events historically occur. Bullish/Bearish Month Classification Each month is classified based on the relationship between monthClose and monthOpen . This provides context for the high/low occurrences: whether they happened in bullish or bearish months. High/Low Occurrence Arrays Four arrays ( highBull, lowBull, highBear, lowBear ) store the count of high and low occurrences for each day of the month. These arrays are the core of the statistical analysis. Probability Calculation Divides the count of occurrences for each day by the total number of months in that category (bullish/bearish). Multiplying by 100 converts this to a percentage probability, giving traders a numerical sense of recurrence. Real-Time Updates The table and probabilities are recalculated and refreshed with each new bar. This ensures that traders have the most current information available without manual recalculation. User-Centric Visualization By showing probabilities for both bullish and bearish months separately, traders gain a deeper understanding of market tendencies and recurring monthly patterns, which can be leveraged for improved timing and strategy alignment. Important: There is a misalign in percentages due to not all months having the same amount of days.
Pine Script® Indikator
von JTCapitalNL
EMA(Any) Cross Entries This indicator is a clean, directional EMA(6) crossover entry tool designed to identify high-quality trend entries while eliminating crossover noise. It plots a single EMA with a default length of 6 (optionally overridden by a user-defined length) and generates an ENTER LONG signal when price crosses above the EMA and an ENTER SHORT signal when price crosses below it. To prevent signal spam in trending or choppy conditions, the logic uses a directional arming system, allowing only one entry per direction until price crosses back to the opposite side of the EMA. An optional cooldown period further limits how frequently signals can occur. The result is a disciplined, visually clean entry tool that highlights meaningful momentum shifts rather than repeated micro-crosses around the moving average.
Pine Script® Indikator
von scottwgarrett
BK AK-Zenith💥 Introducing BK AK-ZENITH — Adaptive Rhythm RSI for Peak/Valley Warfare 💥 This is not another generic RSI. This is ZENITH: it measures where momentum is on the scale, then tells you when it’s hitting extremes, when it’s turning, and when price is lying through its teeth with divergence. At its core, ZENITH does one thing ruthlessly well: it matches the oscillator’s period to the market’s current rhythm—adaptive when the market is fast, adaptive when the market is slow—so your signals stop being “late because the settings were wrong.” 🎖 Full Credit — Respect the Origin (AlgoAlpha) The core RSI architecture in this form belongs to AlgoAlpha—one of the best introducers and coders on TradingView. They originated this adaptive/Rhythm-RSI framework and the way it’s presented and engineered. BK AK-ZENITH is my enhancement layer on top of AlgoAlpha’s foundation. I kept the spine intact, and I added tactical systems: clearer Peak/Valley warfare logic, pivot governance (anti-spam), divergence strike markers, momentum flip confirmation, and a war-room readout—so it trades like a weapon, not a toy. Respect where it started: AlgoAlpha built the engine. I tuned it for battlefield use. 🧠 What Exactly is BK AK-ZENITH? BK AK-ZENITH is an Adaptive Period RSI (or fixed if you choose), designed to read momentum like a range of intent rather than a single overbought/oversold gimmick. Core Systems Inside ZENITH ✅ Adaptive Period RSI (Rhythm Engine) Automatically adjusts its internal RSI length to match current market cadence. (Optional fixed length mode if you want static.) ✅ Optional HMA Smoothing Cleaner shape without turning it into a laggy moving average. ✅ Peak / Valley Zones (default 80/20) Hard boundaries that define “true extremes” so you stop treating every wiggle like a signal. ✅ Pivot-Based BUY/SELL Triangles + Cooldown Signals are governed by pivots and a cooldown so it doesn’t machine-gun trash. ✅ Momentum Flip Diamonds (◇) Shows when the oscillator’s slope flips—clean confirmation for “engine change.” ✅ Divergence Lightning (⚡) Exposes when price is performing confidence while momentum is quietly breaking. ✅ War-Room Table / Meter Bias, zone, reading, and adaptive period printed so you don’t “interpret”—you execute. ✅ Alerts Suite Pivots, divergences, zone entries—so the chart calls you, not your emotions. 🎯 How to use it (execution rules) 1) Zones = permission Valley (≤ Valley level): demand territory. Stalk reversal structure; stop chasing breakdown candles. Peak (≥ Peak level): supply territory. Harvest, tighten, stop adding risk at the top. 2) Pivot triangles = the shot clock Your ▲/▼ signals are pivot-confirmed with a cooldown. That’s intentional. This is designed to force patience and prevent overtrading. 3) Divergence = truth serum When price makes the “confident” high/high or low/low but ZENITH disagrees, you’re seeing internal change before the crowd does. Treat divergence as warning + timing context, not a gambling button. 4) Meter/Table = discipline If you can’t summarize the state in one glance, you’ll overtrade. ZENITH prints the state so your brain stops inventing stories. 🔧 Settings that actually matter Adaptive Period ON (default): the whole point of ZENITH Peak/Valley levels: how strict extremes must be Pivot strength + Cooldown: your anti-spam governor Divergence pivot length: controls how “major” divergence must be The “AK” in the name is an acknowledgment of my mentor A.K. His standards—patience, precision, clarity, emotional control—are why this tool is built with governors instead of hype. And above all: all praise to Gd—the true source of wisdom, restraint, and right timing. 👑 King Solomon Lens — ZENITH Discernment Solomon asked Gd for something most people never ask for: not wealth, not victory—discernment. The ability to separate what looks true from what is true. That is exactly what momentum work is supposed to do. 1) Honest weights, honest measures. In Solomon’s world, crooked scales were an abomination because they disguised reality. In trading, the crooked scale is your own excitement: you see one green candle and call it strength. ZENITH forces an honest measure—0 to 100—so you deal in degree, not drama. A Peak is not “bullish.” A Peak is “momentum priced in.” A Valley is not “bearish.” A Valley is “selling pressure reaching exhaustion.” 2) Wisdom adapts to seasons. Solomon’s order wasn’t chaos—there was a time to build, a time to harvest, a time to wait. Markets have seasons too: trend seasons, chop seasons, compression seasons, expansion seasons. Fixed-length RSI pretends every season is the same. ZENITH does not. It listens for rhythm and adjusts its internal timing so your read stays relevant to today’s market tempo—not last month’s. 3) The sword test: revealing what’s hidden. Solomon’s most famous judgment wasn’t about theatrics—it was about revealing the truth beneath appearances. Divergence is that same test in markets: price can perform strength while the engine quietly weakens, or perform weakness while momentum secretly repairs. The ⚡ is not a prophecy. It’s a revelation: “what you see on price is not the full story.” That’s ZENITH discipline: measure → discern → execute. And may Gd bless your judgment to act only when the measure is clean. ⚔️ Final BK AK-ZENITH is a momentum fire-control system: adaptive rhythm + extreme zones + pivot timing + divergence truth. Use it to stop feeling trades and start weighing them. Praise to Gd always. 🙏
Pine Script® Indikator
von Ki11a_B
Tamil - Dynamic Top/Bottom Range with EMATamil – Dynamic Top/Bottom Range with EMA is an all-in-one trend + targets indicator designed for intraday and swing trading. It combines a clean EMA crossover entry signal, automatic take-profit levels, dynamic support/resistance range lines, and a multi-timeframe dashboard to quickly confirm trend strength across multiple timeframes. What it shows on the chart • 5 EMAs (14 / 21 / 55 / 100 / 200) with fully customizable colors to visualize short-term vs long-term trend. • BUY / SELL signals based on EMA14 crossing EMA21: • Buy Signal: EMA14 crosses above EMA21 • Sell Signal: EMA14 crosses below EMA21 • Auto Take-Profit levels (TP1 / TP2 / TP3) for every new signal: • TPs are calculated by percentage move from the signal candle close • Separate TP percentages for Buy and Sell • Plots dashed TP lines and prints labels with exact price levels • Includes alerts for Buy/Sell + each TP hit • Dynamic Range Lines • Plots rolling Resistance (highest high) and Support (lowest low) using a configurable lookback Multi-Timeframe Dashboard (Table) A compact table shows key confirmation signals across: 1m, 5m, 15m, 1H, 4H, 1D, 1W • RSI value • Stochastic value • Supertrend direction (Buy/Sell/Neutral) • SMA trend bias (Buy/Sell/Neutral) with heat-map style coloring for faster reading. Alerts Included • Buy Signal / Sell Signal • TP1 / TP2 / TP3 reached (Buy & Sell) Note: This is an indicator (not a strategy/backtest). Use proper risk management and confirm signals with your own trade plan.
Pine Script® Indikator
von haimpts
Tamil - BOS/CHOCH Demand & SupplyTamil – BOS/CHOCH Demand & Supply is a Smart Money Concepts (SMC) indicator that automatically detects Break of Structure (BOS) and Change of Character (CHOCH) events and draws clean Demand (bullish) and Supply (bearish) zones directly on the chart. It supports multiple pivot lookback periods at the same time (ex: 1,2,3,5,11,15,20) to map structure from micro to higher swings, and it keeps zones updated as price interacts with them. What it does • Creates Demand zones (green) when price confirms a bullish break above a prior swing high (BOS/CHOCH). • Creates Supply zones (red) when price confirms a bearish break below a prior swing low (BOS/CHOCH). • Labels each zone as “BOS Demand/Supply” or “CHOCH Demand/Supply” and includes the lookback period used to form it. Zone lifecycle (auto-managed) • Active zone: drawn and extended forward until invalidated. • Mitigation: when price revisits the zone (first touch), the zone turns gray to mark it as mitigated. • Break / invalidation: if price fully breaks the zone (below demand bottom / above supply top), the zone is deleted. Optional “Inducement / Liquidity Grab” filter (IDM) If enabled, zones are only drawn when the swing that created the break also swept liquidity from the previous swing (a common SMC “inducement” condition), helping focus on higher-probability zones. Alerts included • New confirmed Demand zone • New confirmed Supply zone • Zone Mitigated • Zone Broken Notes This is an indicator for structure + zone mapping (not a backtest strategy). Use proper risk management and confirm zones with your own execution rules.
Pine Script® Indikator
von haimpts
Tamil, Buy/Sell Signal for Day Trade and Swing TradeTamil – Buy/Sell Signal for Day Trade and Swing Trade is a price-action style indicator that prints Long and Short signals and automatically projects a full trade plan on the chart: Entry (EP), Stop-Loss (SL), and up to 5 Take-Profit levels (TP1–TP5). It combines multiple momentum/overextension filters (Keltner Channel bands, CCI, ROC, RSI, Parabolic SAR, and Balance of Power) to detect oversold dips for longs and overbought spikes for shorts. When a signal triggers, the script: • Draws a signal label showing EP/SL/TP1–TP5 values. • Plots step lines for EP, SL, and TP levels so you can manage the trade visually. • Marks TP hits and Stop hits with shapes + background highlights. • Includes a 200-length DEMA plot for higher-timeframe trend context (optional visual filter). How signals work (high level): • Long Signal: price pushes below a deeper Keltner lower band (mean-reversion setup) + bearish momentum extremes (CCI/BOP/ROC) with SAR/median conditions confirming a dip setup. • Short Signal: price pushes into upper Keltner expansion + bullish momentum extremes (CCI/RSI/ROC) with SAR/median conditions confirming a spike setup. Best use: intraday scalps or swing entries where you want clear, pre-defined levels for scaling out (TP1→TP5) and strict risk control (SL). Note: This is an indicator (not a strategy backtest). Always validate on your instrument/timeframe and use risk management
Pine Script® Indikator
von haimpts
BK AK-IED💥 Introducing BK AK-IED — Volatility Ignition / Expansion / Detonation 💥 A pressure-to-release weapon system for traders who want timing, not noise. Markets don’t move clean because they “feel like it.” They load, they ignite, and then they detonate into expansion. BK AK-IED is built to expose that sequence in real time—so you stop trading randomness and start trading regime shifts. ⚔️ What BK AK-IED is BK AK-IED is a 3-speed VWMA energy oscillator that blends price movement + volume into a single pressure readout: Fast (5) = ignition energy (range-driven) Medium (21) = core pressure engine Slow (55) = structural volatility backdrop It’s not a “direction oracle.” It’s an energy meter that tells you when the market is coiling, when it’s waking up, and when it’s breaking out with force. 🧠 Core Weapon Systems ✅ Dynamic Scaling Keeps the oscillator readable across symbols (no ridiculous y-axis blowouts). ✅ Volatility State Bar (Bottom Strip) — Your War Room 🟨 CONTRACTION = VWMA convergence / coil / pressure loading 🟩 EXPANSION = energy spike begins 🟥 BREAKOUT = expansion without contraction (release phase) ⬜ NEUTRAL = dead zone, don’t force it ✅ Breakout Peak Icons (Crown markers) Crowns print only when there’s true breakout energy and the move hits major peak territory versus recent extremes. Translation: tighten risk, scale-out, stop getting greedy. These are exhaustion warnings—not automatic reversals. Timeframe-adaptive peak filtering is built in: < 1H: stricter peak requirement ≥ 1H: more realistic swing threshold 🧭 How to use it (execution, not opinions) 1) 🟨 Contraction = don’t bleed. This is the chop factory. You wait. You map levels. You stalk. 2) 🟩 Expansion = prepare. Start aligning with structure: trend framework, VWAP, key levels, HTF bias. 3) 🟥 Breakout = engage. This is where moves pay. Trade the direction your structure supports and manage risk like a professional. 4) 👑 Peak during breakout = harvest / protect. Scale. Tighten stops. Don’t turn winners into donations. 🧱 Inputs that matter (what you’re actually tuning) Amplitude Multiplier = how aggressive the energy read is VWMA Spread Contraction Threshold = how tight “coil” must be to count Scale Lookback = how far back the dynamic scaling references Peak Thresholds = how selective peaks are (auto-switches based on timeframe) The “AK” in the name is an acknowledgment of my mentor A.K. His standards (patience, precision, clarity, and emotional control) are a major reason I build tools with structure instead of hype. And above all: all praise to Gd — the true source of wisdom, restraint, and right timing. 👑 King Solomon Lens — ZENITH Discipline Solomon didn’t build greatness by impulse. He built it by measure, order, and restraint. When the Temple was built, the stones were prepared away from the site—so the structure went up with precision, not chaos. That is the market lesson: the decisive moment is loud, but the preparation is silent. If you only show up for the noise, you will always arrive late. BK AK-IED is that Solomon blueprint on a chart: 🟨 Contraction is the quarry. The market is cutting the stones in silence. This is where the undisciplined burn money “doing something.” The wise do the opposite: they reduce noise, define levels, and wait. 🟩 Expansion is the line being set. Pressure starts to move. This is where you bring structure online—bias, levels, risk plan. Not excitement. 🟥 Breakout is the placement. The stone drops into position. This is the only phase where aggression is righteous—because it’s backed by a real shift, not hope. 👑 Peak icons are ZENITH—crown-of-the-move logic. Zenith is where force and momentum reach their highest point before decay begins. The crown is not “celebrate and add.” The crown is govern yourself: harvest, tighten, protect. Solomon’s edge wasn’t prediction—it was rule over the self. That’s what separates profit from punishment. This is what wisdom looks like in trading: not guessing the future—governing your exposure when the present is telling you the truth. And may Gd bless your restraint as much as your entries, because restraint is where survival becomes power. ✅ Final BK AK-IED is your volatility weapon for market warfare: Load → Ignite → Detonate. Use it with structure. Use it with discipline. And give praise to Gd for every protected loss, every clean entry, and every moment you didn’t force a trade. 🙏
Pine Script® Indikator
von Ki11a_B
Structure Lite - Automatic Major Trend LinesStructure Lite — Automatic Major Trend Lines Structure Lite automatically detects and plots major market structure using higher-timeframe pivot highs and lows. It is designed to provide a clean, lightweight view of primary support and resistance without manual drawing or chart clutter. This script focuses only on major structure and intentionally excludes short-term noise, advanced liquidity concepts, or signal logic. Features Automatically plots major resistance (red) and major support (green) trend lines Uses higher-period pivots to reflect macro / swing structure Lines extend right for forward projection Keeps only the most recent major levels to reduce clutter Optional toggle to hide all trend lines for a clean chart view How to Use Add the indicator to your chart Adjust Major Pivot Period to control how swing-based the structure is Higher values = fewer, more important levels Lower values = more responsive structure Use the plotted lines to: Identify higher-timeframe support and resistance Contextualize price action and trend bias Toggle Hide All Trend Lines to quickly remove structure without removing the indicator This tool is intended for context and structure awareness, not trade signals. Design Philosophy Structure Lite is intentionally minimal: No alerts No buy/sell signals No predictions No performance claims It is built as a foundational structure tool that can be combined with the user’s own methodology. Notes Some inputs reference advanced features available in a separate professional version These options are disabled here and included only for interface consistency No external links, promotions, or monetization are included in this script Disclaimer Educational and informational purposes only. This script does not provide financial advice or trade recommendations. Past market behavior does not guarantee future results. © 2025 GammaBulldog
Pine Script® Indikator
von GammaBulldog
First presented FVG (w/stats) w/statistical hourly ranges & biasOverview This indicator identifies the first Fair Value Gap (FVG) that forms during each hourly session and provides comprehensive statistical analysis based on 12 years of historical NASDAQ (NQ) data. It combines price action analysis with probability-based statistics to help traders make informed decisions. ⚠️ IMPORTANT - Compatibility Market: This indicator is designed exclusively for NASDAQ futures (NQ/MNQ) Timeframe: Statistical data is based on FVGs formed on the 5-minute timeframe FVG Detection: Works on any timeframe, but use 5-minute for accuracy matching the statistical analysis All hardcoded statistics are derived from 12 years of NQ historical data What It Does 1. FVG Detection & Visualization Automatically detects the first FVG (bullish or bearish) that forms each hour Draws colored boxes around FVGs: Blue boxes = Bullish FVG (gap up) Red boxes = Bearish FVG (gap down) FVG boxes extend to the end of the hour Optional midpoint lines show the center of each FVG Uses volume imbalance logic (outside prints) to refine FVG boundaries 2. Hourly Reference Lines Vertical Delimiter: Marks the start of each hour Hourly Open Line: Shows where the current hour opened Expected Range Lines: Projects the anticipated high/low based on historical data Choose between Mean (average) or Median (middle value) statistics Upper range line (teal/green) Lower range line (red) All lines span exactly one hour from the moment it opens Optional labels show price values at line ends 3. Real-Time Statistics Table The table displays live data for the current hour only: Hour: Current hour in 12-hour format (AM/PM) FVG Status: Shows if a Bull FVG, Bear FVG, or no FVG has formed yet Green background = Bullish FVG detected Red background = Bearish FVG detected 1st 15min: Direction of the first 15 minutes (Bullish/Bearish/Neutral/Pending) Continuation %: Historical probability that the hour continues in the first 15-minute direction Color-coded: Green for bullish, red for bearish Avg Range %: Expected percentage range for the current hour (based on 12-year mean) FVG Effect %: Historical probability that FVG direction predicts hourly close direction Shows BISI→Bull % for bullish FVGs Shows SIBI→Bear % for bearish FVGs Blank if no FVG has formed yet Time Left: Countdown timer showing MM:SS remaining in the hour (updates in real-time) Hourly Bias: Historical directional tendency (bullish % or bearish %) H Open: Current hour's opening price Exp Range: Projected price range (Low - High) based on historical average Customization Options Detection Settings: Lower Timeframe Selection (15S, 1min, 5min) - controls FVG detection granularity Display Settings: FVG box colors (bullish/bearish) Midpoint lines (show/hide, color, style) Table Settings: Position (9 locations: corners, edges, center) Text size (Tiny, Small, Normal, Large) Hourly Lines: Toggle each line type on/off Hour delimiter (color, width) Open line (color, width, style) Range lines (color, width, style) Choose Mean or Median statistics for range calculation Show/hide labels with customizable text size How to Use Apply to NQ futures chart (NQ1! or MNQ1!) Set chart to 5-minute timeframe for optimal FVG detection matching the statistical data Watch for the first FVG to form each hour Reference the table for probability-based decision support: High continuation % = strong directional bias FVG Effect % shows reliability of the FVG signal Time Left helps manage entries/exits within the hour Use range lines as potential targets or reversal zones Statistical Foundation All statistics are derived from: 12 years of NASDAQ (NQ) historical data Hourly analysis of FVG formation patterns First 15-minute directional analysis Mean and Median calculations for range expectations Data encompasses 2,400+ samples per hour Best Practices ✅ Use on NQ/MNQ futures only ✅ Best on 5-minute charts (matches statistical data) ✅ Combine FVG signals with continuation probabilities ✅ Use range lines as potential profit targets ✅ Watch the countdown timer for hour-end setups ❌ Do not use on other markets (statistics won't apply) ❌ Avoid using during low-liquidity hours (5PM ET has minimal data) Technical Notes Timezone: America/New_York (EST/EDT) Weekend filtering: Automatically hides data during market closure Updates in real-time on live bars Maximum 500 boxes/lines for performance FVG detection includes volume imbalance (body gap) refinement Credits Statistical analysis based on 12 years of NASDAQ historical data. FVG detection methodology follows ICT concepts with volume imbalance refinement. Disclaimer: This indicator provides statistical analysis based on historical data. Past performance does not guarantee future results. Always use proper risk management. Would you like me to adjust any section or add/remove anything?6-9 Session & Levels - Customizable Range Analysis Indicator Description: This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET). Core Features: Sespastedthis is a summary for another indicator- i was hoping for something more like this in terms of content etc22:23Architected comprehensive indicator summary matching professional documentation style.The user wants me to rewrite the summary for their FVG indicator in a similar style to the example provided. The example is more structured, detailed, and professional. Let me create a comprehensive summary that follows that format: Clear title Description/Overview Core Features (broken down into sections) Input Settings Explained (detailed breakdown of all customization options) How It Works section Use Case Note/Disclaimer Let me make it thorough and match the style while being accurate to their indicator's functionality.Here's a detailed summary in that format: Every Hour 1st FVG with Statistical Analysis - NASDAQ Hourly Trading Intelligence Description: This indicator identifies the first Fair Value Gap (FVG) that forms during each hourly session and provides comprehensive probability-based statistical analysis derived from 12 years of NASDAQ (NQ) historical data. It combines real-time FVG detection with hardcoded statistical probabilities to help intraday traders make informed decisions based on historical patterns and hourly price action dynamics. IMPORTANT: This indicator is specifically calibrated for NASDAQ futures (NQ/MNQ) only. All statistical data is derived from 12 years of NQ historical analysis with FVGs detected on the 5-minute timeframe. Using this indicator on other markets will produce invalid statistical results. Core Features: FVG Detection & Visualization Automatically detects and displays the first Fair Value Gap (bullish or bearish) that forms within each hourly session Color-coded boxes mark FVG zones: Blue for bullish FVGs (gap up), Red for bearish FVGs (gap down) FVG boxes extend precisely to the end of the hour boundary Optional midpoint lines show the center point of each FVG Uses volume imbalance logic (outside prints) to refine FVG boundaries beyond simple wick-to-wick gaps Supports both chart timeframe detection and lower timeframe detection via request.security_lower_tf Hourly Reference Lines Vertical Hour Delimiter: Marks the exact start of each new hour with an extendable vertical line Hourly Open Line: Displays the opening price of the current hour Expected Range Lines: Projects anticipated high and low levels based on 12 years of statistical data Choose between Mean (average) or Median (middle value) calculations Upper range line shows expected high Lower range line shows expected low All lines span exactly one hour from open to close Optional labels display exact price values at the end of each line Real-Time Statistics Table Displays comprehensive live data for the current hour only: Hour: Current hour in 12-hour format (e.g., "9AM", "2PM") FVG Status: Shows detection state with color coding "None Yet" (white background) - No FVG detected "Bull FVG" (green background) - Bullish FVG identified "Bear FVG" (red background) - Bearish FVG identified 1st 15min: Direction of first 15 minutes (Bullish/Bearish/Neutral/Pending) Continuation %: Historical probability that the hour closes in the direction of the first 15 minutes Green background with up arrow (↑) for bullish continuation probability Red background with down arrow (↓) for bearish continuation probability Avg Range %: Expected percentage range for the current hour based on 12-year mean FVG Effect %: Historical effectiveness of FVG directional prediction Shows "BISI→Bull %" for bullish FVGs (gap up predicting bullish hourly close) Shows "SIBI→Bear %" for bearish FVGs (gap down predicting bearish hourly close) Displays blank if no FVG has formed yet Time Left: Real-time countdown timer showing minutes and seconds remaining in the hour (MM:SS format) Hourly Bias: Historical directional tendency showing bullish or bearish percentage bias H Open: Current hour's opening price Exp Range: Projected price range showing "Low - High" based on selected statistic (mean or median) Input Settings Explained: Detection Settings Lower Timeframe: Select the base timeframe for FVG detection Options: 15S (15 seconds), 1 (1 minute), 5 (5 minutes) Recommendation: Use 5-minute to match the statistical data sample The indicator uses this timeframe to scan for FVG patterns even when viewing higher timeframes Display Settings Bullish FVG Color: Set the color and transparency for bullish (upward) FVG boxes Bearish FVG Color: Set the color and transparency for bearish (downward) FVG boxes Show Midpoint Lines: Toggle horizontal lines at the center of each FVG box Midpoint Line Color: Customize the midpoint line color Midpoint Line Style: Choose between Solid, Dotted, or Dashed line styles Table Settings Table Position: Choose from 9 locations: Top: Left, Center, Right Middle: Left, Center, Right Bottom: Left, Center, Right Table Text Size: Select from Tiny, Small, Normal, or Large for readability on different screen sizes Hourly Lines Settings Show Hourly Lines: Master toggle for all hourly reference lines Show Hour Delimiter: Toggle the vertical line marking each hour's start Delimiter Color: Customize color and transparency Delimiter Width: Set line thickness (1-5) Show Hourly Open: Toggle the horizontal line at the hour's opening price Open Line Color: Customize color Open Line Width: Set thickness (1-5) Open Line Style: Choose Solid, Dashed, or Dotted Show Range Lines: Toggle the expected high/low projection lines Range Statistic: Choose "Mean" (12-year average) or "Median" (12-year middle value) Range High Color: Customize upper range line color and transparency Range Low Color: Customize lower range line color and transparency Range Line Width: Set thickness (1-5) Range Line Style: Choose Solid, Dashed, or Dotted Show Line Labels: Toggle price labels at the end of all horizontal lines Label Text Size: Choose Tiny, Small, or Normal How It Works: FVG Detection Logic: The indicator scans price action on the selected lower timeframe (default: 1-minute) looking for Fair Value Gaps using a 3-candle pattern: Bullish FVG: Formed when candle 's high is below candle 's low, creating an upward gap Bearish FVG: Formed when candle 's low is above candle 's high, creating a downward gap The detection is refined using volume imbalance logic by checking for body gaps (outside prints) on both sides of the middle candle. This narrows the FVG zone to areas where bodies don't touch, indicating stronger imbalances. Only the first FVG that forms during each hour is displayed. If a bullish FVG forms first, it takes priority. The FVG box is drawn from the formation time through to the end of the hour. Statistical Analysis: All probability statistics are hardcoded from 12 years (2,400+ samples per hour) of NASDAQ futures analysis: First 15-Minute Direction: At 15 minutes into each hour, the indicator determines if price closed above, below, or equal to the hour's opening price Continuation Probability: Historical analysis shows the likelihood that the hour closes in the same direction as the first 15 minutes Example: If 9AM's first 15 minutes are bullish, there's a 60.1% chance the entire 9AM hour closes bullish (lowest continuation hour) 4PM shows the highest continuation at 86.1% for bullish first 15 minutes FVG Effectiveness: Tracks how often the first FVG's direction correctly predicts the hourly close direction BISI (Bullish Imbalance/Sell-side Inefficiency) → Bullish close probability SIBI (Bearish Imbalance/Buy-side Inefficiency) → Bearish close probability Range Expectations: Mean and median values represent typical price movement percentage for each hour 9AM and 10AM show the largest ranges (~0.6%) 5PM shows minimal range (~0.06%) due to low liquidity Hourly Reference Lines: When each new hour begins: Vertical delimiter marks the hour's start Hourly open line plots at the first bar's opening price Range projection lines calculate expected high/low: Upper Range = Hourly Open + (Range% / 100 × Hourly Open) Lower Range = Hourly Open - (Range% / 100 × Hourly Open) Lines extend exactly to the hour's end time Labels appear at line endpoints showing exact prices Real-Time Updates: FVG Status: Updates immediately when the first FVG forms First 15min Direction: Locked in at the 15-minute mark Countdown Timer: Uses timenow to update every second Table Statistics: Refresh on every bar close Timezone Handling: All times are in America/New_York (Eastern Time) Automatically filters weekend periods (Saturday and Sunday before 6PM) Hour detection accounts for daylight saving time changes Use Cases: Intraday Trading Strategy Development: FVG Entry Signals: Use the first hourly FVG as a directional bias Bullish FVG + High continuation % = Strong long setup Bearish FVG + High continuation % = Strong short setup First 15-Minute Breakout: Combine first 15-min direction with continuation probabilities Wait for first 15 minutes to complete If continuation % is above 70%, trade in that direction Example: 4PM bullish first 15 min = 86.1% chance hour closes bullish Range Targeting: Use expected high/low lines as profit targets or reversal zones Price approaching mean high = potential resistance Price approaching mean low = potential support Compare mean vs median for different risk tolerance (median is more conservative) Hour Selection: Focus trading on hours with: High FVG effectiveness (11AM: 81.5% BISI→Bull) High continuation rates (4PM: 86.1% bull continuation) Avoid low-continuation hours like 9AM (60.1%) Time Management: Use the countdown timer to: Enter early in the hour when FVG forms Exit before hour-end if no follow-through Avoid late-hour entries with <15 minutes remaining Statistical Edge Identification: Compare current hour's FVG against historical effectiveness Identify when first 15-min direction contradicts FVG direction (conflict = caution) Use hourly bias to confirm or contradict FVG signals Monitor if price stays within expected range or breaks out (outlier moves) Risk Management: Expected range lines provide logical stop-loss placement FVG Effect % helps size positions (higher % = larger position) Time Left countdown aids in time-based stop management Avoid trading hours with neutral bias or low continuation rates Statistical Foundation: All embedded statistics are derived from: 12 years of NASDAQ futures (NQ) continuous contract data 5-minute timeframe FVG detection methodology 24 hours per day analysis (excluding weekends) 2,400+ samples per hour for robust statistical validity America/New_York timezone for session alignment Data includes: Hourly range analysis (mean, median, standard deviation) First 15-minute directional analysis FVG formation frequency and effectiveness Continuation probability matrices Bullish/bearish bias percentages Best Practices: ✅ Do: Use exclusively on NASDAQ futures (NQ1! or MNQ1!) Apply on 5-minute charts for optimal FVG detection matching statistical samples Wait for first 15 minutes to complete before acting on continuation probabilities Combine FVG signals with continuation % and FVG Effect % for confluence Use expected range lines as initial profit targets Monitor the countdown timer for time-based trade management Focus on hours with high statistical edges (4PM, 11AM, 10AM) ❌ Don't: Use on other markets (ES, RTY, YM, stocks, forex, crypto) - statistics will be invalid Rely solely on FVG without confirming with continuation probabilities Trade during low-liquidity hours (5PM shows only 0.06% average range) Ignore the first 15-minute direction when it conflicts with FVG direction Apply to timeframes significantly different from 5-minute for FVG detection Use median range expectations aggressively (they're conservative) Technical Implementation Notes: Timezone: Fixed to America/New_York with automatic DST adjustment Weekend Filtering: Automatically hides data Saturday and Sunday before 6PM ET Performance: Maximum 500 boxes and 500 lines for optimal chart rendering Update Frequency: Table updates on every bar close; timer updates every second using timenow FVG Priority: Bullish FVGs take precedence when both form simultaneously Lower Timeframe Detection: Uses request.security_lower_tf for accurate sub-chart-timeframe FVG detection Precision: All price labels use format.mintick for appropriate decimal precision Big thanks to @Trades-Dont-Lie for the FPFVG code in his excellent indicator that I've used here
Pine Script® Indikator
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