Macro & Earnings Dashboard — NY Fed CalendarMacro & Earnings Dashboard — NY Fed Calendar
This is an overlay indicator designed to provide a quick, real-time overview of the most critical upcoming US economic data releases and corporate earnings reports directly on your TradingView chart. It functions as a dynamic dashboard, removing the need to constantly check external calendars.
Key Features
1. Real-Time Economic Calendar (Bottom-Right Table)
The dashboard tracks the time remaining until the next release of five major, high-impact economic indicators. The data for these dates is pre-loaded directly from the New York Fed Economic Indicators Calendar (currently loaded for October through December 2025).
The tracked events include:
CPI (Consumer Price Index)
PPI (Producer Price Index)
Employment Situation (Non-Farm Payrolls / Unemployment Rate)
Interest Rate Decision (FOMC Meetings)
Consumer Sentiment (University of Michigan Survey)
2. Corporate Earnings Tracker (Top-Right Table)
This table uses TradingView's built-in data to calculate the estimated days remaining until the next Earnings Per Share (EPS) report for a curated list of high-profile NASDAQ tickers:
AAPL, NVDA, GOOG, TSLA, MSFT, AMZN, META
3. Color-Coded Urgency
The "Days" column for both macro and earnings tables uses a traffic light system to instantly communicate how soon the event is:
Red: The event is scheduled for Today or Tomorrow (0–1 day away).
Orange: The event is scheduled for the current week (within 6 days).
Teal: The event is more than a week away.
Gray: The date is currently unavailable or outside the loaded calendar range.
在脚本中搜索"track"
Key levels + Session Range (Sweep-Aware Levels)Overview
This indicator provides a single, clean view of two core intraday contexts that day traders rely on:
Daily Liquidity Levels: prior day high/low (PDH/PDL), prior day open/close, weekly highs/lows, and other commonly referenced reference points.
Session Ranges: clearly plotted high/low for each active session (e.g., Asia, London, New York), tracked live as the session evolves.
By unifying these two information layers, traders can immediately see when price is sweeping a session’s extremes into known daily liquidity—a frequent precursor to reversals or continuation moves. This saves chart space, reduces cognitive overload, and turns two separate checks into one coherent read.
What it does
Plots daily liquidity references: previous day high/low, previous day open/close, and optional higher-timeframe levels (open, high, mid and low 4H ,Day, Week, month, year and quarterly).
Tracks session high/low live: as each session unfolds, the indicator updates that session’s running High and Low, then locks them at session end.
Maps interaction between the two layers: you can instantly spot session sweeps that tag PDH/PDL (or weekly extremes), highlight potential liquidity grabs, and frame risk with objective boundaries.
Keeps the chart clean: just essential lines/zones and concise labels—no extra clutter.
Why it’s useful & original
Single-purpose integration: Rather than a generic mashup, this is a purpose-built fusion where session dynamics are read in the context of daily liquidity. That relationship is the core edge—seeing when a session sweep aligns with known liquidity pools.
Workflow efficiency: One overlay replaces two indicators, simplifying visibility and reducing conflicting visuals.
Decision clarity: The combination highlights setups many intraday traders already watch manually (e.g., NY session high sweep into PDH), but makes them obvious in real time.
How it works (plain-English logic)
Daily Liquidity Engine
At the start of each day, the indicator records PDH, PDL, prior open/close and (optionally) prior week high/low.
These levels are plotted and extended across the session as static references.
Session Range Tracker
For each defined session (e.g., Asia/London/New York), the script initializes session High/Low at session open.
Throughout the session, it updates those extremes in real time and locks them on session close.
Interaction Layer
When price reaches or sweeps a session High/Low near a daily level (e.g., within your chosen tolerance), the confluence becomes visually obvious.
Traders can then decide whether it’s a likely liquidity grab (fade/reversal idea) or a continuation through the pool (breakout idea), per their plan.
How to use it
Identify session context: Start by noting where price is trading relative to the current session’s High/Low.
Locate nearby daily liquidity: Check distance to PDH/PDL, prior open/close, and weekly extremes.
Look for confluence:
Sweep-and-fade idea: Session High swept into PDH (or Session Low into PDL) with failure to hold → potential reversal context.
Break-and-go idea: Strong close through PDH/PDL following a session extreme break → potential continuation context.
Risk framing: Session High/Low and PDH/PDL provide objective anchors for stops and targets. Adapt to your own risk model (e.g., use ATR or structure-based stops).
Keep it clean: Use this as your primary overlay to avoid clutter; add confirmations (volume, structure) only if they genuinely help your process.
Settings (typical options)
Sessions: Choose which sessions to display (e.g., Asia/London/NY) and their time zones/hours.
Daily Levels: Toggle PDH/PDL, prior open/close, prior week High/Low, and other references you rely on.
Visuals: Colors, line styles, label visibility, and optional band shading for quick recognition.
Confluence Tolerance (optional): Define how near a session extreme must be to a daily level to consider it a “liquidity touch/sweep” in your visuals.
Alerts (optional): First touch/sweep of session High/Low, break/close beyond PDH/PDL, or custom distance conditions.
Chart & Publishing Notes (for reviewers and users)
Clean chart by design: Only essential lines/labels for session extremes and daily references.
Plain-English description: Explains what, why, and how so non-coders can use it confidently.
Original integration: The value here is the purposeful interaction—seeing session sweeps in context of daily liquidity in one place—rather than a cosmetic mashup.
Limitations & good practice
This tool is contextual, not predictive. It highlights structure and liquidity landmarks; trade decisions are yours.
Session definitions vary by asset/exchange; ensure your session times match your market.
Past behavior at these levels does not guarantee future outcomes; always use proper risk management.
Disclaimer
This indicator is for educational and informational purposes only and is not financial advice. Trading involves risk; always test and evaluate with your own methods and risk parameters.
Cozys Black Van CandlesDescription:
Cozys Black Van Candles is a versatile, fully customizable overlay indicator designed to visually highlight multiple key candle structures on your chart. It allows traders to track precise OHLC levels and midpoints for a series of user-defined candles, offering a clear visual representation of market action. The indicator is optimized for clarity, flexibility, and session-based analysis.
This indicator is inspired by the unique trading methodology of ᴵᶜᵗ 👑 Cøzy🦁Bæb¹⁷ 💚. It is designed to visually represent multiple candle bodies along with their open, high, low, and close (OHLC) levels, allowing traders to monitor key price zones and session dynamics. The tool also features a settlement-level overlay, which dynamically extends throughout the session, providing a clear reference for decision-making. With customizable colors, line styles, and label settings, this indicator offers flexibility for both analysis and chart readability, making it suitable for professional traders seeking precise visual cues and enhanced market awareness.
Key Features:
Multiple Candle Visualization: Plot multiple custom candles on your chart with independent toggles for each, allowing full control over which candles are displayed.
OHLC & Midpoint Levels: Each candle displays its Open, High, Low, Close, and Midpoint levels using dedicated lines for accurate reference.
Dynamic Boxes & Lines: Candle ranges are highlighted with semi-transparent boxes and lines that expand in real-time, providing clear visualization of active sessions and historical candle structure.
Session Expansion: Candle boxes and lines automatically extend throughout the session until a defined cutoff, ensuring continuous visual tracking of each candle’s range.
Customizable Styles & Colors: Users can fully customize the colors, line styles (solid, dotted, dashed), and widths of all OHLC lines, midpoints, and candle boxes for maximum chart readability.
Labeling: Each candle can be labeled at its midpoint with customizable text, background, and size, providing instant identification without cluttering the chart.
Independent PD-Like Settlement Candle: The indicator supports a special, session-based candle with fully independent OHLC and midpoint plotting, including dynamic expansion and labeling, without affecting main candle plots.
Timezone Support: All candles and session-based calculations respect a user-defined timezone, ensuring accurate plotting across different markets and trading sessions.
Replay & Real-Time Compatible: All plotted boxes, lines, and labels expand correctly in both real-time and replay mode, providing reliable historical analysis and session review.
Performance Optimized: Designed with efficient use of Pine Script objects to avoid conflicts and maximize chart responsiveness.
Flexible Session Reset: Main candles and session-based candles can reset automatically at the start of a new trading session for a clean chart display.
Use Cases:
Visualize key intraday candles for reference in scalping or day trading strategies.
Track precise OHLC and midpoint levels for multiple candles simultaneously.
Overlay session-based structures without interfering with price action.
Enhance chart readability with labeled candle ranges and dynamic boxes.
Highlights:
Plot multiple candles simultaneously with independent toggles.
Track precise OHLC and midpoint levels at a glance.
Dynamic boxes and lines expand through the session automatically.
Fully customizable colors, line styles, widths, and labels.
Session-based candle plotting without affecting main candles.
Works in real-time and replay mode.
Timezone-aware for accurate market session tracking.
Perfect for day traders, scalpers, and anyone who wants a clean, visual overview of intraday candle action!
SMC OB+HOBSmart Money OB/HOB Indicator — Quick Guide
Use this as a field manual: what you’re seeing, how it’s decided, and which settings to use for different timeframes and trade styles.
What the tool plots
Bullish Order Block (OB) — teal box
The last small down candle before a bullish displacement/BOS. Height = candle body (default) or wick range (if you choose “Wick”).
Pin (small white dot) at the origin candle’s time to make anchoring obvious.
Bearish Order Block (OB) — red box
The last small up candle before a bearish displacement/BOS.
Hidden Order Block (HOB) — same box but yellow-tinted fill
A valid OB with one or more same-bias FVGs “ahead” (i.e., OB sits “behind” inefficiency). These tend to be stronger.
Mitigation state (fill transparency)
Unmitigated (least transparent): price hasn’t meaningfully traded back into the box. Highest priority.
Partial (more transparent): some penetration; still valid.
Full (most transparent): fully consumed; lower priority (optional to hide).
Top-K border — thin white outline
Only the best-scoring OBs/HOBs per direction are drawn to reduce clutter.
Auto-Fibs (optional)
OTE zone (0.62–0.79) — subtle purple band across the current swing leg.
0.618 / 0.705 / 0.786 — thin white horizontal lines. Confluence here adds score.
Trade idea lines (per Top-K block)
Entry — white line (mid/edge per your setting).
Stop — red line (box edge ± your pad).
TP1/TP2 — lime lines, R-based from entry→stop distance.
Label shows LONG/SHORT, entry, SL, TP1, TP2, time-stop (bars).
Note: Fair Value Gaps (FVGs) are tracked internally to classify HOBs and for pruning, not drawn to avoid noise.
How a block is qualified (in plain English)
BOS + Displacement:
Close breaks the recent swing high/low by at least N ticks and the bar shows impulse (body ≥ X·ATR and ≥ Y% of its total range).
(Settings: “Close beyond ≥ ticks”, “Min impulse body (x ATR)”, “Body/TR min %”)
Seed candle:
Look back ≤ N bars for the last opposite small-body candle (body ≤ Z% of its range). That candle’s body/wick becomes the OB height.
(Settings: “Last opposite candle within N bars”, “OB body ≤ % of TR”, “OB height model”)
Hidden OB:
Count same-bias FVGs “ahead”. If ≥ your threshold → tag the OB as HOB.
(Setting: “Require ≥ N same-bias FVGs ahead”)
Mitigation tracking:
As price trades into the box, we compute penetration %, updating unmitigated / partial / full state each bar.
Ranking (Top-K):
Every OB/HOB gets a score: near price, newer, hidden, near fib, and unmitigated boost. We draw only the Top-K per direction.
Inputs you’ll actually tweak
Timeframe
Compute on: Current (uses your chart TF) or Specific (MTF scan).
Process last N bars: reduce for speed, increase to see more history.
Anchoring
Extend: Right, Limited, or Origin only.
Limited draws boxes to a fixed number of bars so charts stay clean.
Show origin pins: Keep on so you always know the source candle.
Structure / BOS (signal frequency vs. quality)
Require FVG on break bar: ON = stricter, OFF = more signals.
Min impulse body (x ATR): higher = stricter.
Body/TR min %: higher = stricter.
Close beyond ≥ ticks: 0–1 for LTF; 1–3 for HTF.
Order Blocks
OB height model: Body (cleaner) or Wick (wider protection).
Last opposite candle within N bars: 3–8 (higher finds more).
OB body ≤ % of TR: 0.35–0.70 (lower = stricter).
Min OB height (ticks): 1–2 (avoid micro slivers).
Expire on first touch: If ON, removes boxes after first reaction.
Hidden OB
Require ≥ N FVGs ahead: 0–1 for LTF (more HOBs), 1–2 for HTF.
Mitigation Filter (what you show)
Toggle Unmitigated / Partial / Full visibility.
For precision trading, keep Unmitigated on; show others while scanning.
Auto-Fibs
Enable fib confluence: On adds score near 0.618/0.705/0.786.
Draw lines / OTE: Visual only; confluence also boosts ranking.
Tolerance (x ATR): how close price must be to count as “near fib”.
Ranking & Draw
Top-K per direction: how many OBs/HOBs you’ll see each side.
Prefer near / newer / hidden / unmitigated: scoring toggles.
Fib boost: how much fib confluence bumps a level.
Trade Ideas
Entry style: 50% of OB (balanced) or OB edge (faster fills).
Stop pad (ticks/ATR): give a little room beyond the box edge.
TP1/TP2 (R): risk-multiple targets (e.g., 1R, 2R).
Time stop (minutes): exit if it doesn’t go in time.
Execution / Alerts (recommended)
Keep on-close workflow: do not enable calc_on_every_tick.
When creating alerts, choose Once per bar close.
How to use it (mechanical checklist)
Scan: Focus on Top-K boxes. HOBs (yellow-tinted) and unmitigated get first look.
Context (optional): If you like, also check HTF structure or obvious liquidity pools (equal highs/lows).
Confluence: Prefer boxes near 0.618/0.705/0.786 or inside the OTE band.
Trigger: Let the bar close. If entry line is touched next, you have a go-signal with a placed stop and R-targets.
Manage: If TP1 hits, move SL to BE. For HOBs, consider a runner (trail under minor swing/FVG) — they often travel further.
Time stop: If it hasn’t moved within N minutes/bars, cut it; don’t babysit.
Preset recipes (copy these settings)
1) Hyper-Scalp (1–3m) — frequent, fast
Structure / BOS:
FVG on break = OFF | Min impulse = 0.6–0.8 | Body/TR = 0.45–0.55 | Close beyond = 0–1
Order Blocks:
Opposite lookback = 5–6 | OB body ≤ 0.55–0.60 | Min height = 1
HOB: Need FVGs = 0–1
Mitigation view: Show Unmit/Partial, optionally Full while scanning
Ranking: Top-K = 4–6, prefer near/new/hidden/unmit = ON, Fib boost = 0.6–1.0
Trade Ideas: Entry = OB edge, Stop pad = 1–2 ticks, Time stop = 5–8 min
Execution: On bar close alerts
2) Intraday (5–15m) — balanced
Structure / BOS:
FVG on break = OFF | Min impulse = 0.8–1.0 | Body/TR = 0.55–0.60 | Close beyond = 1
Order Blocks:
Opposite lookback = 4–5 | OB body ≤ 0.50–0.55 | Min height = 1–2
HOB: Need FVGs = 1
Ranking: Top-K = 3–4, Fib boost = 1.0–1.5
Trade Ideas: Entry = 50%, Stop pad = 2–3 ticks, Time stop = 10–20 min
3) Swing (1H–4H) — selective, higher quality
Structure / BOS:
FVG on break = ON | Min impulse = ≥1.0 | Body/TR = ≥0.65 | Close beyond = 1–3
Order Blocks:
Opposite lookback = 3–4 | OB body ≤ 0.45–0.50 | Min height = 2–4
HOB: Need FVGs = 1–2
Ranking: Top-K = 2–3, Fib boost = 1.5–2.0
Trade Ideas: Entry = 50%, Stop pad = a few ticks + ATR pad, Time stop = few bars
4) HTF (Daily+) — very selective
Keep swing settings, increase Min impulse and Close beyond a bit, reduce Top-K to 1–2.
Priority rules (what to trade first)
HOB over OB
Unmitigated over partial/full
With fib confluence over without
Near price and recent over far/old
Favor levels that follow a sweep (equal highs/lows taken, then return to your box)
If two boxes tie, take the one with the cleaner origin candle and simpler path to TP (fewer nearby obstacles).
Troubleshooting & tips
“I’m not seeing many signals.”
Loosen Structure/BOS (lower ATR and Body/TR), increase Opposite lookback, allow Partial/Full in view, raise Top-K.
“Too many lines/boxes.”
Lower Top-K, use Limited extension (Anchoring), hide Partial/Full, and keep fib lines if you rely on confluence.
“Stuff looks offset.”
Keep origin pins on. Use xloc.bar_time (already in code) and avoid custom time compressions that desync objects.
Execution discipline:
Use on-close alerts. Respect time stops. Size by fixed risk per trade, not fixed leverage.
Signalgo CHoCHSignalgo CHoCH: Informative Technical Overview
Signalgo CHoCH is a multi-factor indicator designed for TradingView to detect “Change of Character” (CHoCH) shifts in market structure, signaling significant trend reversals and managing trades with risk control. This documentation details how it operates, its customizable parameters, signal methodology, what makes it different from traditional tools, and typical strategy applications.
How Signalgo CHoCH Works
1. Market Structure Detection
Swing High & Low Identification: The indicator uses an adaptive swing length to isolate important pivot highs and lows in price action. These pivots signal points where the market reversed direction or paused, forming the “swing structure” core to this strategy.
Body Strength Validation: Not every pivot break is meaningful. Signalgo CHoCH assesses price bar “body strength”—quantifying if the current candle’s body is disproportionately large compared to a recent average—to filter out weak or indecisive moves, retaining only those breaks likely to indicate genuine momentum.
2. Change of Character (CHoCH) Signal Logic
Bullish CHoCH: Triggered when price closes above the last significant swing low (the most recent support) with a strong candle body, indicating a transition from bearish to bullish market structure.
Bearish CHoCH: Triggered when price closes below the last significant swing high (key resistance) with a strong bearish candle, denoting a shift from bullish to bearish structure.
One-Time Event Recognition: Each break is tracked so that signals are issued only once per directional change, reducing repeated or redundant entries.
3. Higher Timeframe Confirmation
Multi-Timeframe Consistency: The indicator requires the CHoCH signal (on the current trading timeframe) to be confirmed by the market structure status of a selected higher timeframe. This adds an extra layer of validation, ensuring the signal aligns with broader trends.
Inputs
SwingLen: The number of bars used to define swing pivots.
bodyStrength & bodyLookback: Control sensitivity for body size validation, filtering which candle breaks are considered strong enough for signaling.
htfTf: Selects the higher timeframe for multi-timeframe checking.
show_tpsl: Toggle to show/hide automated Take Profit (TP) and Stop Loss (SL) levels on the chart.
ATR, TP/SL/RR/Trailing Settings: Determines how risk and reward are managed, using ATR for stop placement and multi-level profit targets with optional trailing stop activation after TP1.
Entry & Exit Strategy
Entry Logic
Long Entry: When a bullish CHoCH is detected, optionally confirmed by the higher timeframe, it marks a buy opportunity at the close of the breakout candle.
Short Entry: When a bearish CHoCH forms, also with optional higher timeframe confirmation, it identifies a sell entry at the close of the confirmation candle.
Exit & Trade Management
Stop Loss (SL): Automatically placed at a set ATR distance from entry, dynamically adapting to volatility.
Take Profits (TP1, TP2, TP3): Multiple reward targets are calculated and marked for systematic scaling out or profit-taking, based on a defined risk multiple.
Trailing Stop: Once the first profit target is hit, SL moves to breakeven, and a trailing stop engages, incrementally securing further gains if the trend continues.
State Tracking: All TP, SL, and trailing events are labeled on the chart for easy post-trade analysis.
Body Strength and Trend Filtering: Breakouts are only considered if the candle’s body confirms significant momentum, not just a fleeting spike, improving signal quality.
Event-Driven, Not Rolling: Each bullish or bearish “character change” is signaled only at the true point of structural shift, with strict per-event marking, not continuous signal generation as with typical MA cross strategies.
Integrated Multi-Timeframe Logic: higher timeframe validation minimizes false positives from short-term volatility noise, a capability not found in most indicator-based tools.
Automated, Dynamic Trade Management: This indicator overlays a complete trade management suite (TPs, SL, trailing) that moves with market conditions, allowing for risk handling directly from each signal.
Trading Strategy Application
Trend Reversal & Continuation: Suitable for identifying both sudden reversals and structural continuations, adaptable for intraday, swing, or positional trading styles.
Noise Filtering: Multiple checks (body strength, momentum, multi-timeframe) focus signals on genuine trend changes, filtering out most “whipsaws” seen in pure MA systems.
Visual Feedback: All transitions, TPs, SLs, and trailing events are visually annotated, enhancing the educational and review process.
cd_RSI_Divergence_CxGeneral:
The Relative Strength Index (RSI) is a momentum oscillator widely used by traders in price analysis. In addition to showing overbought/oversold zones, divergences between RSI and price are also tracked to identify trading opportunities.
The general consensus is that oscillators alone are not sufficient for entries and should be evaluated together with multiple confirmations.
This oscillator is designed as an additional confirmation/compatible tool for strategies that already use higher time frame (HTF) sweeps and lower time frame (LTF) confirmations such as Change in State Delivery (CISD) or Change of Character (CHOCH).
Features:
While RSI oscillators are commonly displayed in line format (classic), this indicator also offers candlestick-style visualization.
Depending on the selected source, period length, and EMA length, RSI can be displayed as lines and/or candlesticks.
Divergence detection & tracking:
Price and RSI values are monitored on the chosen higher time frame (from the menu) to determine highs and lows. For divergence display, the user can choose between two modes:
1- Alignment with HTF Sweep
2- All
1 - Alignment with HTF Sweep:
First, the price must sweep the previous high/low of the candle on the HTF (i.e., break it) but fail to continue in that direction and return inside (sweep).
If this condition is met, RSI values are checked:
If price makes a high sweep but RSI fails to make a new high → divergence is confirmed.
If price makes a low sweep but RSI fails to make a new low → divergence is confirmed.
Divergence is then displayed on the chart.
2 - All:
In this mode, sweep conditions are ignored. Divergence is confirmed if:
Price makes a new high on HTF but RSI does not.
RSI makes a new high on HTF but price does not.
Price makes a new low on HTF but RSI does not.
RSI makes a new low on HTF but price does not.
Menu & Settings:
RSI visualization (source + period length + EMA period length)
Option to choose classic/candlestick style display
Color customization
Higher time frame selection
Adjustable HTF boxes and table display
Final notes:
This oscillator is designed as an additional confirmation tool for strategies based on HTF sweep + LTF CISD/CHOCH confirmation logic. The chosen HTF in the oscillator should match the time frame where sweeps are expected.
Divergence signals from this oscillator alone will not make you profitable.
For spot trades, monitoring sweeps and divergences on higher time frames is more suitable (e.g., Daily–H1 / Weekly–H4).
My personal usage preferences:
Entry TF: 3m
HTF bias: Daily + H1
Sweep + CISD: 30m / 3m
Market Structure: 3m
RSI divergence: HTF = 30m
If all of them align bullish or bearish ( timeframe alignment ), I try to take the trade.
I’d be glad to hear your feedback and suggestions for improvement.
Happy trading!
Advanced ICT Theory - A-ICT📊 Advanced ICT Theory (A-ICT): The Institutional Manipulation Detector
Are you tired of being the liquidity? Stop chasing shadows and start tracking the architects of price movement.
This is not another lagging indicator. This is a complete framework for viewing the market through the lens of institutional traders. Advanced ICT Theory (A-ICT) is an all-in-one, military-grade analysis engine designed to decode the complex language of "Smart Money." It automates the core tenets of Inner Circle Trader (ICT) methodology, moving beyond simple patterns to build a dynamic, real-time narrative of market manipulation, liquidity engineering, and institutional order flow.
AIT provides a living blueprint of the market, identifying high-probability zones, tracking structural shifts, and scoring the quality of setups with a sophisticated, multi-factor algorithm. This is your X-ray into the market's true intentions.
🔬 THE CORE ENGINE: DECODING THE THEORY & FORMULAS
A-ICT is built upon a sophisticated, multi-layered logic system that interprets price action as a story of cause and effect. It does not guess; it confirms. Here is the foundational theory that drives the engine:
1. Market Structure: The Blueprint of Trend
The script first establishes a deep understanding of the market's skeleton through multi-level pivot analysis. It uses ta.pivothigh and ta.pivotlow to identify significant swing points.
Internal Structure (iBOS): Minor swings that show the short-term order flow. A break of internal structure is the first whisper of a potential shift.
External Structure (eBOS): Major swing points that define the primary trend. A confirmed break of external structure is a powerful statement of trend continuation. AIT validates this with optional Volume Confirmation (volume > volumeSMA * 1.2) and Candle Confirmation to ensure the break is driven by institutional force, not just a random spike.
Change of Character (CHoCH): This is the earthquake. A CHoCH occurs when a confirmed eBOS happens against the prevailing trend (e.g., a bearish eBOS in a clear uptrend). A-ICT flags this immediately, as it is the strongest signal that the primary trend is under threat of reversal.
2. Liquidity Engineering: The Fuel of the Market
Institutions don't buy into strength; they buy into weakness. They need liquidity. A-ICT maps these liquidity pools with forensic precision:
Buyside & Sellside Liquidity (BSL/SSL): Using ta.highest and ta.lowest, AIT identifies recent highs and lows where clusters of stop-loss orders (liquidity) are resting. These are institutional targets.
Liquidity Sweeps: This is the "manipulation" part of the detector. AIT has a specific formula to detect a sweep: high > bsl and close < bsl . This signifies that institutions pushed price just high enough to trigger buy-stops before aggressively selling—a classic "stop hunt." This event dramatically increases the quality score of subsequent patterns.
3. The Element Lifecycle: From Potential to Power
This is the revolutionary heart of A-ICT. Zones are not static; they have a lifecycle. AIT tracks this with its dynamic classification engine.
Phase 1: PENDING (Yellow): The script identifies a potential zone of interest based on a specific candle formation (a "displacement"). It is marked as "Pending" because its true nature is unknown. It is a question.
Phase 2: CLASSIFICATION: After the zone is created, AIT watches what happens next. The zone's identity is defined by its actions:
ORDER BLOCK (Blue): The highest-grade element. A zone is classified as an Order Block if it directly causes a Break of Structure (BOS) . This is the footprint of institutions entering the market with enough force to validate the new trend direction.
TRAP ZONE (Orange): A zone is classified as a Trap Zone if it is directly involved in a Liquidity Sweep . This indicates the zone was used to engineer liquidity, setting a "trap" for retail traders before a reversal.
REVERSAL / S&R ZONE (Green): If a zone is not powerful enough to cause a BOS or a major sweep, but still serves as a pivot point, it's classified as a general support/resistance or reversal zone.
4. Market Inefficiencies: Gaps in the Matrix
Fair Value Gaps (FVG): AIT detects FVGs—a 3-bar pattern indicating an imbalance—with a strict formula: low > high (for a bullish FVG) and gapSize > atr14 * 0.5. This ensures only significant, volatile gaps are shown. An FVG co-located with an Order Block is a high-confluence setup.
5. Premium & Discount: The Law of Value
Institutions buy at wholesale (Discount) and sell at retail (Premium). AIT uses a pdLookback to define the current dealing range and divides it into three zones: Premium (sell zone), Discount (buy zone), and Equilibrium. An element's quality score is massively boosted if it aligns with this principle (e.g., a bullish Order Block in a Discount zone).
⚙️ THE CONTROL PANEL: A COMPLETE GUIDE TO THE INPUTS MENU
Every setting is a lever, allowing you to tune the AIT engine to your exact specifications. Master these to unlock the script's full potential.
🎯 A-ICT Detection Engine
Min Displacement Candles: Controls the sensitivity of element detection. How it works: It defines the number of subsequent candles that must be "inside" a large parent candle. Best practice: Use 2-3 for a balanced view on most timeframes. A higher number (4-5) will find only major, more significant zones, ideal for swing trading. A lower number (1) is highly sensitive, suitable for scalping.
Mitigation Method: Defines when a zone is considered "used up" or mitigated. How it works: Cross triggers as soon as price touches the zone's boundary. Close requires a candle to fully close beyond it. Best practice: Cross is more responsive for fast-moving markets. Close is more conservative and helps filter out fake-outs caused by wicks, making it safer for confirmations.
Min Element Size (ATR): A crucial noise filter. How it works: It requires a detected zone to be at least this multiple of the Average True Range (ATR). Best practice: Keep this around 0.5. If you see too many tiny, irrelevant zones, increase this value to 0.8 or 1.0. If you feel the script is missing smaller but valid zones, decrease it to 0.3.
Age Threshold & Pending Timeout: These manage visual clutter. How they work: Age Threshold removes old, mitigated elements after a set number of bars. Pending Timeout removes a "Pending" element if it isn't classified within a certain window. Best practice: The default settings are optimized. If your chart feels cluttered, reduce the Age Threshold. If pending zones disappear too quickly, increase the Pending Timeout.
Min Quality Threshold: Your primary visual filter. How it works: It hides all elements (boxes, lines, labels) that do not meet this minimum quality score (0-100). Best practice: Start with the default 30. To see only A- or B-grade setups, increase this to 60 or 70 for an exceptionally clean, high-probability view.
🏗️ Market Structure
Lookbacks (Internal, External, Major): These define the sensitivity of the trend analysis. How they work: They set the number of bars to the left and right for pivot detection. Best practice: Use smaller values for Internal (e.g., 3) to see minor structure and larger values for External (e.g., 10-15) to map the main trend. For a macro, long-term view, increase the Major Swing Lookback.
Require Volume/Candle Confirmation: Toggles for quality control on BOS/CHoCH signals. Best practice: It is highly recommended to keep these enabled. Disabling them will result in more structure signals, but many will be false alarms. They are your filter against market noise.
... (Continue this detailed breakdown for every single input group: Display Configuration, Zones Style, Levels Appearance, Colors, Dashboards, MTF, Liquidity, Premium/Discount, Sessions, and IPDA).
📊 THE INTELLIGENCE DASHBOARDS: YOUR COMMAND CENTER
The dashboards synthesize all the complex analysis into a simple, actionable intelligence briefing.
Main Dashboard (Bottom Right)
ICT Metrics & Breakdown: This is your statistical overview. Total Elements shows how much structure the script is tracking. High Quality instantly tells you if there are any A/B grade setups nearby. Unmitigated vs. Mitigated shows the balance of fresh opportunities versus resolved price action. The breakdown by Order Blocks, Trap Zones, etc., gives you a quick read on the market's recent character.
Structure & Market Context: This is your core bias. Order Flow tells you the current script-determined trend. Last BOS shows you the most recent structural event. CHoCH Active is a critical warning. HTF Bias shows if you are aligned with the higher timeframe—the checkmark (✓) for alignment is one of the most important confluence factors.
Smart Money Flow: A volume-based sentiment gauge. Net Flow shows the raw buying vs. selling pressure, while the Bias provides an interpretation (e.g., "STRONG BULLISH FLOW").
Key Guide (Large Dashboard only): A built-in legend so you never have to guess. It defines every pattern, structure type, and special level visually.
📖 Narrative Dashboard (Bottom Left)
This is the "story" of the market, updated in real-time. It's designed to build your trading thesis.
Recent Elements Table: A live list of the most recent, high-quality setups. It displays the Type , its Narrative Role (e.g., "Bullish OB caused BOS"), its raw Quality percentage, and its final Trade Score grade. This is your at-a-glance opportunity scanner.
Market Narrative Section: This is the soul of A-ICT. It combines all data points into a human-readable story:
📍 Current Phase: Tells you if you are in a high-volatility Killzone or a consolidation phase like the Asian Range.
🎯 Bias & Alignment: Your primary direction, with a clear indicator of HTF alignment or conflict.
🔗 Events: A causal sequence of recent events, like "💧 Sell-side liquidity swept →
📊 Bullish BOS → 🎯 Active Order Block".
🎯 Next Expectation: The script's logical conclusion. It provides a specific, forward-looking hypothesis, such as "📉 Pullback expected to bullish OB at 1.2345 before continuation up."
🎨 READING THE BATTLEFIELD: A VISUAL INTERPRETATION GUIDE
Every color and line is a piece of information. Learn to read them together to see the full picture.
The Core Zones (Boxes):
Blue Box (Order Block): Highest probability zone for trend continuation. Look for entries here.
Orange Box (Trap Zone): A manipulation footprint. Expect a potential reversal after price interacts with this zone.
Green Box (Reversal/S&R): A standard pivot area. A good reference point but requires more confluence.
Purple Box (FVG): A market imbalance. Acts as a magnet for price. An FVG inside an Order Block is an A+ confluence.
The Structural Lines:
Green/Red Line (eBOS): Confirms the trend direction. A break above the green line is bullish; a break below the red line is bearish.
Thick Orange Line (CHoCH): WARNING. The previous trend is now in question. The market character has changed.
Blue/Red Lines (BSL/SSL): Liquidity targets. Expect price to gravitate towards these lines. A dotted line with a checkmark (✓) means the liquidity has been "swept" or "purged."
How to Synthesize: The magic is in the confluence. A perfect setup might look like this: Price sweeps below a red SSL line , enters a green Discount Zone during the NY Killzone , and forms a blue Order Block which then causes a green eBOS . This sequence, visible at a glance, is the story of a high-probability long setup.
🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY
A-ICT was forged from the frustration of using lagging indicators in a market that is forward-looking. Traditional tools are reactive; they tell you what happened. The vision for A-ICT was to create a proactive engine that could anticipate institutional behavior by understanding their objectives: liquidity and efficiency. The development process was centered on creating a "lifecycle" for price patterns—the idea that a zone's true meaning is only revealed by its consequence. This led to the post-breakout classification system and the narrative-building engine. It's designed not just to show you patterns, but to tell you their story.
⚠️ RISK DISCLAIMER & BEST PRACTICES
Advanced ICT Theory (A-ICT) is a professional-grade analytical tool and does not provide financial advice or direct buy/sell signals. Its analysis is based on historical price action and probabilities. All forms of trading involve substantial risk. Past performance is not indicative of future results. Always use this tool as part of a comprehensive trading plan that includes your own analysis and a robust risk management strategy. Do not trade based on this indicator alone.
観の目つよく、見の目よわく
"Kan no me tsuyoku, ken no me yowaku"
— Miyamoto Musashi, The Book of Five Rings
English: "Perceive that which cannot be seen with the eye."
— Dskyz, Trade with insight. Trade with anticipation.
52SIGNAL RECIPE Market Structure Reversal Signals═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ Overview
52SIGNAL RECIPE Market Structure Reversal Signals is a technical indicator designed to detect structural changes in price charts and identify potential trend reversals. By tracking highs and lows over a specified period, this indicator provides clear visual signals when significant price breakouts occur, helping traders capture directional changes in the market early.
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◆ Key Features
• Structural Reversal Detection: Provides potential trend change signals when price breaks through recent N-day highs/lows
• Duplicate Signal Prevention: Filters out consecutive signals in the same direction
• Intuitive Visualization: Clearly distinguishes bullish/bearish reversal signals by color and position on the chart
• Confirmed Bar Based: Generates signals only after bars are completely closed, enhancing reliability
• Customizable Settings: Adjustable tracking period to optimize for various market environments and timeframes
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◆ Technical Foundation
■ Market Structure Analysis Principle
• High/Low Tracking: Identifies previous highs (LH) and lows (HL) over the specified period
• Structural Breakout: Interprets as structural change when closing price breaks above previous high or below previous low
• Confirmed Bar Verification: Minimizes false signals by generating signals only after the current bar has completely closed
■ Signal Filtering Mechanism
• Signal State Tracking: Prevents duplicate signals by tracking the direction of the last generated signal
• Directional Change Focus: Suppresses signals in the same direction until an opposite signal occurs
• Noise Reduction: Focuses only on important level breakouts, eliminating unnecessary signals
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◆ Practical Applications
■ Trend Reversal Point Identification
• Bullish Trend Starting Point:
▶ When bullish reversal signal occurs after a downtrend
▶ When upward momentum is confirmed by breaking previous high
• Bearish Trend Starting Point:
▶ When bearish reversal signal occurs after an uptrend
▶ When downward momentum is confirmed by breaking below previous low
• Range Breakout Detection:
▶ Potential trend formation signals when breaking upper/lower boundaries in a ranging market
■ Trading Strategy Application
• Trend Following Strategy:
▶ Consider buy entry when bullish reversal signal occurs
▶ Consider sell entry when bearish reversal signal occurs
• Reversal Trading:
▶ Signals occurring at support/resistance levels provide high-probability entry points
▶ Reversal signals in overbought/oversold conditions strengthen trend reversal possibility
• Risk Management:
▶ Consider closing or reducing positions when opposite signals occur
▶ Set precise stop-loss points by combining with key technical levels
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◆ Advanced Setting Options
■ Tracking Period (N-day) Adjustment
• Short-term Setting: 10-15 days (sensitive signals, quick reaction, suitable for short-term trading)
• Medium-term Setting: 20-30 days (balanced signals, general trend detection, recommended default)
• Long-term Setting: 40-50 days (strong filtering, detects only major trend reversals, suitable for long-term investment)
■ Timeframe Optimization
• Daily Chart: 20-30 day setting (medium-term trend change detection)
• 4-Hour Chart: 30-40 setting (short-term swing trading signals)
• Hourly Chart: 40-50 setting (intraday trend change detection)
• Intraday Chart: 10-20 setting (scalping and short-term trading)
■ Market Type Adjustment
• High Volatility Markets: Higher N values (30-50) to filter noise
• Trending Markets: Medium N values (20-30) to capture only major reversals
• Ranging Markets: Lower N values (10-20) to capture range-bound movements
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◆ Synergy with Other Indicators
• Moving Averages: Signal strength enhanced when Market Structure Reversal Signals align with key moving average crossovers
• RSI: Market Structure Reversal Signals occurring at overbought/oversold levels increase reversal probability
• Volume Indicators: Market Structure Reversal Signals accompanied by high volume enhance reliability
• Fibonacci Levels: Market Structure Reversal Signals occurring at key Fibonacci levels provide important turning points
• Channel Indicators: Powerful breakout confirmation when price channel upper/lower breakthroughs coincide with Market Structure Reversal Signals
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◆ Conclusion
52SIGNAL RECIPE Market Structure Reversal Signals objectively identifies structural changes in the market and clearly visualizes potential trend reversal points. Its simple yet powerful approach of detecting directional changes through recent N-day high/low breakouts provides flexibility applicable to various market environments and trading styles. The duplicate signal prevention mechanism and confirmed bar-based signal generation greatly enhance signal quality and reliability. When combined with other technical indicators, synergy effects can be maximized, providing traders with a valuable tool to capture market turning points early.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ 개요
52SIGNAL RECIPE Market Structure Reversal Signals는 가격 차트의 구조적 변화를 감지하여 잠재적인 추세 반전을 식별하는 기술적 지표입니다. 이 지표는 최근 N일 동안의 고점과 저점을 추적하여 의미 있는 가격 돌파가 발생할 때 명확한 시각적 신호를 제공함으로써, 트레이더가 시장의 방향성 변화를 조기에 포착할 수 있도록 도와줍니다.
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◆ 주요 특징
• 구조적 반전 탐지: 가격이 최근 N일 고점/저점을 돌파할 때 잠재적 추세 변화 신호 제공
• 중복 신호 방지: 동일한 방향의 신호가 연속으로 반복되지 않도록 필터링
• 직관적인 시각화: 상승/하락 반전 신호를 차트 상에서 색상과 위치로 명확히 구분
• 확정 봉 기반: 봉이 완전히 종료된 후에만 신호 생성하여 신뢰도 향상
• 사용자 정의 설정: 추적 기간을 조정하여 다양한 시장 환경과 타임프레임에 최적화 가능
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◆ 기술적 기반
■ 시장 구조 분석 원리
• 고점/저점 추적: 지정된 기간 동안의 이전 고점(LH)과 저점(HL) 식별
• 구조적 돌파: 종가가 이전 고점을 상향 돌파하거나 이전 저점을 하향 돌파할 때 구조적 변화로 해석
• 확정 봉 검증: 현재 봉이 완전히 종료된 후에만 신호 생성하여 오신호 최소화
■ 신호 필터링 메커니즘
• 신호 상태 저장: 마지막 생성된 신호의 방향을 추적하여 동일 방향 신호 중복 방지
• 방향성 전환 초점: 반대 방향 신호가 발생할 때까지 동일 방향 신호 억제
• 노이즈 감소: 중요 수준 돌파에만 집중하여 불필요한 신호 제거
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◆ 실용적 응용
■ 추세 전환점 식별
• 상승 추세 시작점:
▶ 하락 추세 후 상승 반전 신호 발생 시
▶ 이전 고점 돌파로 상승 모멘텀 확인 시
• 하락 추세 시작점:
▶ 상승 추세 후 하락 반전 신호 발생 시
▶ 이전 저점 이탈로 하락 모멘텀 확인 시
• 범위 돌파 감지:
▶ 횡보 시장에서 상/하 경계 돌파 시 잠재적 추세 형성 신호
■ 트레이딩 전략 적용
• 추세 추종 전략:
▶ 상승 반전 신호 발생 시 매수 진입 고려
▶ 하락 반전 신호 발생 시 매도 진입 고려
• 반전 트레이딩:
▶ 지지/저항 수준에서 반전 신호 발생 시 높은 확률의 진입점 제공
▶ 과매수/과매도 상태에서의 반전 신호는 추세 전환 가능성 강화
• 리스크 관리:
▶ 반대 방향 신호 발생 시 포지션 종료 또는 축소 고려
▶ 주요 기술적 수준과 결합하여 정밀한 손절점 설정 가능
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◆ 고급 설정 옵션
■ 추적 기간(N일) 조정
• 단기 설정: 10-15일 (민감한 신호, 빠른 반응, 단기 트레이딩에 적합)
• 중기 설정: 20-30일 (균형 잡힌 신호, 일반적 추세 감지, 기본 권장)
• 장기 설정: 40-50일 (강한 필터링, 주요 추세 전환만 감지, 장기 투자에 적합)
■ 타임프레임별 최적화
• 일봉 차트: 20-30일 설정 (중기 추세 변화 감지)
• 4시간 차트: 30-40 설정 (단기 스윙 트레이딩 신호)
• 시간봉 차트: 40-50 설정 (일중 추세 변화 감지)
• 일중 차트: 10-20 설정 (스캘핑 및 단기 거래)
■ 시장 유형별 조정
• 변동성 높은 시장: 높은 N값 (30-50) 설정으로 노이즈 필터링
• 추세 시장: 중간 N값 (20-30) 설정으로 주요 반전만 포착
• 횡보 시장: 낮은 N값 (10-20) 설정으로 범위 내 움직임 포착
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◆ 다른 지표와의 시너지
• 이동평균선: Market Structure Reversal Signals 신호와 주요 이동평균선 교차 지점이 일치할 때 신호 강화
• RSI: 과매수/과매도 수준에서의 Market Structure Reversal Signals 신호는 반전 가능성 높임
• 볼륨 지표: 높은 볼륨과 함께 발생하는 Market Structure Reversal Signals 신호는 신뢰도 향상
• 피보나치 레벨: 주요 피보나치 레벨에서 발생하는 Market Structure Reversal Signals 신호는 중요한 전환점 제공
• 채널 지표: 가격 채널의 상단/하단 돌파와 Market Structure Reversal Signals 신호 일치 시 강력한 돌파 확인
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◆ 결론
52SIGNAL RECIPE Market Structure Reversal Signals는 시장의 구조적 변화를 객관적으로 식별하여 잠재적인 추세 전환점을 명확하게 시각화합니다. 최근 N일 고점/저점 돌파를 통해 방향성 변화를 감지하는 단순하면서도 강력한 접근 방식은 다양한 시장 환경과 트레이딩 스타일에 적용할 수 있는 유연성을 제공합니다. 중복 신호 방지 메커니즘과 확정 봉 기반 신호 생성은 신호의 품질과 신뢰성을 크게 향상시킵니다. 다른 기술적 지표와 결합하여 사용할 때 시너지 효과를 극대화할 수 있으며, 트레이더에게 시장의 전환점을 조기에 포착할 수 있는 귀중한 도구를 제공합니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Fibonacci Retracement levels Automatically D/W/MIndicator Description: Fibonacci Retracement levels Automatically
Fibonacci retracement levels based on the day, week, month High Low range and Fibonacci retracement levels draws automatically .This Pine Script indicator is designed to plot Fibonacci retracement levels based on the high and low prices of a user-selected timeframe (Daily, Weekly, or Monthly). It identifies bullish or bearish candles in the chosen timeframe, draws key price levels, and overlays Fibonacci retracement lines and semi-transparent colored boxes to highlight potential support and resistance zones. The indicator dynamically updates with each new period and extends lines, labels, and boxes to the current bar for real-time visualization. Key Features
1. Timeframe Selection: Users can choose the timeframe for analysis: Daily, Weekly, or Monthly via an input dropdown. The indicator retrieves the open, high, low, and close prices for the selected timeframe using `request.security`.
2. High and Low Tracking : Tracks the highest high and lowest low within the selected timeframe. Stores these values and their corresponding bar indices in arrays (`whigh`, `wlow`, `whighIdx`,`wlowIdx`). Limits the array size to the most recent period to optimize performance.
3. Bullish and Bearish Candle Detection : Identifies whether the previous period’s candle is bullish (`close > open`) or bearish (`close < open`). Uses this to determine the direction for Fibonacci retracement calculations. Bullish candle: Fibonacci levels are drawn from low to high
Bearish candle: Fibonacci levels are drawn from high to low
4. Fibonacci Retracement Levels : Plots Fibonacci levels at 0.236, 0.382, 0.5, 0.618, and 0.786 between the high and low of the period. For bullish candles, levels are calculated from the low (support) to the high (resistance). For bearish candles, levels are calculated from the high (resistance) to the low (support). Each Fibonacci level is drawn as a horizontal line with a unique color:
- 0.236: Blue
- 0.382: Purple
- 0.5: Yellow
- 0.618: Teal
- 0.786: Fuchsia
5. Visual Elements: - High/Low Lines and Labels: Draws a red line and label for the previous period’s high. Draws a green line and label for the previous period’s low. Fibonacci Lines and Labels: Each Fibonacci level has a horizontal line and a label displaying the ratio.
Colored Boxes: Semi-transparent boxes are drawn between consecutive Fibonacci levels (including high and low) to highlight zones.
6. Dynamic Updates:
- At the start of a new period (e.g., new week for Weekly timeframe), the indicator:
- Clears previous Fibonacci lines, labels, and boxes.
- Recalculates the high and low for the new period.
- Redraws lines, labels, and boxes based on the new data.
- Extends all lines, labels, and boxes to the current bar index for real-time tracking.
7. Performance Optimization:
- Deletes old lines, labels, and boxes to prevent clutter.
- Limits the storage of highs and lows to the most recent period.
How It Works
1. Initialization: Defines variables for tracking bullish/bearish candles, lines, labels, and arrays for Fibonacci levels and boxes. Sets up color arrays for Fibonacci lines and boxes with distinct, semi-transparent colors.
2. Data Collection: Fetches the previous period’s OHLC (open, high, low, close) using `request.security`. Detects new periods (e.g., new week or month) using `ta.change(time(tf))`.
3. Fibonacci Calculation: On a new period, stores the high and low prices and their bar indices.
- Identifies the maximum high and minimum low from the stored data. - Calculates Fibonacci levels based on the range (`maxHigh - minLow`) and the direction (bullish or bearish).
4. Drawing:
- Draws high/low lines and labels at the identified price levels. Plots Fibonacci retracement lines and labels for each ratio. Creates semi-transparent boxes between Fibonacci levels to visually distinguish zones.
5. Updates:
- Extends all lines, labels, and boxes to the current bar index when a new period is detected. Clears old Fibonacci elements to avoid overlap and ensure clarity.
Usage
- Purpose: This indicator is useful for traders who use Fibonacci retracement levels to identify potential support and resistance zones in financial markets.
- Application:
- Select the desired timeframe (Daily, Weekly, Monthly) via the input settings.
- The indicator automatically plots the previous period’s high/low and Fibonacci levels on the chart.
- Use the labeled Fibonacci levels and colored boxes to identify key price zones for trading decisions.
- Customization:
- Modify the `timeframe` input to switch between Daily, Weekly, or Monthly analysis.
- Adjust the `fibLineColors` and `fibFillColors` arrays to change the visual appearance of lines and boxes.
- The indicator is designed for use on TradingView with Pine Script.
- The maximum array size for highs/lows is limited to 1 period in this version (can be adjusted by modifying the `array.shift` logic).
- The indicator dynamically updates with each new period, ensuring real-time relevance.
This indicator make educational purpose use only
Fibonacci - RSI OscillatorIndicator Overview
The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys.
Core Calculation Mechanism
Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir).
Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley:
If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236
If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236
This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates.
Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation.
RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc).
Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line.
Key Features & Components
Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio.
Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level.
Signal Line: A moving average of the primary RSI line.
Overbought/Oversold Levels: User-defined threshold lines.
Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation.
Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels.
Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory.
Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100.
Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles.
Visual Elements Explained
Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable).
Signal Line: The moving average of the RSI line (color/width/MA type configurable).
OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable).
Mid-Line (50): Horizontal line plotted at 50 (color/width configurable).
Zone Fills:
Background fill between 0-50 and 50-100 (colors configurable).
Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable).
Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Smoothing: Enable/disable dynamic level smoothing; set length and MA type.
RSI: Set the RSI calculation length.
Signal Line: Set the signal line smoothing length and MA type.
Levels: Define Overbought and Oversold numeric thresholds.
Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills.
Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient.
Interpretation Notes
The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context.
The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility.
As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system.
Risk Disclaimer:
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
Time of Day Background with Bar Count & TableDescription:
This indicator provides a comprehensive overview of market activity by dynamically displaying the time-of-day background and tracking bullish and bearish bar counts across different sessions. It also features a table summarizing the market performance for the last 7 days, segmented into four time-based sessions: Morning, Afternoon, Evening, and Night.
Key Features:
Time of Day Background:
The chart's background color changes based on the time of day:
Evening (12 AM - 6 AM) is shaded blue.
Morning (6 AM - 12 PM) is shaded aqua.
Afternoon (12 PM - 6 PM) is shaded yellow.
Night (6 PM - 12 AM) is shaded silver.
Bullish and Bearish Bar Counting:
It tracks the number of bullish (closing higher than opening) and bearish (closing lower than opening) candles.
The sum of the price differences (bullish minus bearish) for each session is displayed as a dynamic label, indicating overall market direction for each session.
Session Breakdown:
The chart is divided into four sessions, each lasting 6 hours (Morning, Afternoon, Evening, Night).
A new label is generated at the start of each session, indicating the bullish/bearish performance and the net difference in price movements for that session.
Historical Session Performance:
The indicator tracks and stores the performance for each session over the past 7 days.
A table is generated in the top-right corner of the chart, summarizing the performance for each session (Morning, Afternoon, Evening, Night) and the price changes for each of the past 7 days.
The values are color-coded to indicate positive (green) or negative (red) results.
Dynamic Table:
The table presents performance data for each time session over the past week with color-coded cells:
Green cells indicate positive performance.
Red cells indicate negative performance.
Empty cells represent no data for that session.
Use Case:
This indicator is useful for traders who want to track market activity and performance across different times of day and monitor how each session contributes to the overall market trend. It provides both visual insights (through background color) and numerical data (via the table) for better decision-making.
Settings:
The background color and session labels update automatically based on the time of day.
The table updates every day, tracking the performance of each session over the past week.
CycleSync | QuantEdgeBIntroducing CycleSync by QuantEdgeB
Overview
CycleSync is a powerful valuation and cycle-tracking system designed to provide insights into asset price behavior across different phases of market cycles. It integrates on-chain data, price-based indicators, and risk-adjusted metrics to offer a comprehensive valuation model that helps traders and investors identify accumulation, distribution, and momentum shifts.
This system is ideal for those who want data-driven confirmation of market tops and bottoms, leveraging a blend of statistical measures, trend-following techniques, and historical on-chain valuations.
_____
Key Features
1. Multi-Factor Valuation Framework
Incorporates a blend of on-chain, momentum, and price-based indicators to assess market cycles in real-time. Helps determine if an asset is overvalued, fairly valued, or undervalued over long term horizon.
2.Market Cycle Recognition
Tracks key macro and micro cycle shifts, identifying trends such as accumulation, expansion, distribution, and contraction phases.
3.Dynamic Valuation
CycleSync employs Z-score standardization and adaptive rescaling to continuously refine overbought and oversold thresholds based on evolving market conditions. Unlike static valuation models, which rely on fixed levels, CycleSync dynamically recalibrates these boundaries by analyzing historical price distributions and deviations from the mean.
4.Comprehensive Dashboard
Presents cycle indicators and valuation scores in a structured table format.
Displays color-coded overbought and oversold signals for quick interpretation.
_____
How It Works
1.On-Chain & Price-Based Data Collection
Gathers key market cycle indicators like MVRV, NUPL, SOPR, CVDD, VWAP, Pi-Cycle, RSI, and Risk Ratios to assess historical valuation.
2.Standardization & Rescaling
Each metric is normalized using either Z-score calculations or high-low rescaling, ensuring fair contribution across different data sources. By applying statistical normalization techniques, the system ensures that extreme valuations are detected relative to the asset's own historical behavior rather than arbitrary thresholds.
3.Valuation Score & Interpretation
🔹 CycleSync Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note : Past valuations and buy/sell signals generated by CycleSync do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
____
Use Cases
✅ Crypto Traders & Long-Term Investors
Identify potential major market tops and bottoms using on-chain and price-based cycle indicators.Confirm long-term accumulation or distribution phases with CycleSync’s multi-cycle tracking.
✅ Macro Trend Followers
Detect macro bull and bear cycle shifts by integrating valuation metrics with trend-following strategies.
✅ Mean Reversion & Rotational Traders
Exploit valuation mean reversion strategies when assets enter extreme overvaluation or undervaluation zones. Rotate capital efficiently between risk-on and risk-off assets based on CycleSync’s valuation models.
✅ Risk Management & Portfolio Allocation
Adjust portfolio exposure by scaling in/out of positions based on historical valuation insights.
Use CycleSync’s Risk Ratios & CVDD metrics to refine entry and exit strategies.
_____
📊 Optimized for Bitcoin , Yet "Universally" Adaptable 🔄
CycleSync is primarily optimized for Bitcoin , leveraging their extensive on-chain and market data to provide robust long-term valuation insights. However, the system remains flexible and can be applied to other assets 📉📈—provided they have sufficient historical price data to support reliable statistical calculations.
Since CycleSync incorporates volume-based metrics, it is essential that the selected chart's ticker provides accurate volume data to function properly. For assets with limited history, results may be less reliable, as long-term valuation models depend on deep market data for precision.
_____
Conclusion
CycleSync is a powerful full-cycle valuation system designed to provide deep market insights 📊 by blending on-chain metrics, statistical rescaling, and technical analysis. Whether you're tracking Bitcoin or other assets with sufficient historical data, this tool offers a structured framework for identifying overbought/oversold conditions, potential cycle tops/bottoms, and long-term market positioning.
With its dynamic adaptability, intuitive scaling mechanisms, and multi-metric integration ⚡, CycleSync empowers traders and investors to make more informed, data-driven decisions 📈. While no valuation model is infallible, combining CycleSync with broader market context and risk management strategies enhances its effectiveness.
🔹 Who Should Use Sentival?
✅ Swing Traders & Long-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
✅ Use CycleSync as a guiding framework—not a standalone signal— and gain a clearer perspective on the ever-evolving market cycles!
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Hourly Market Movement Pattern Indicator# Hourly Market Movement Pattern Indicator
This versatile technical analysis tool identifies the most active hours for trading by analyzing historical price movements. While it can be viewed on any timeframe chart, the indicator specifically tracks and displays which hours of the day historically show the strongest upward or downward price movements, helping traders optimize their trading schedule around these recurring hourly patterns.
## Core Features
- Tracks the best performing hours for both upward and downward movements
- Viewable on any timeframe chart while maintaining hourly analysis
- Clear visual display through a color-coded table overlay
- Real-time updates with new market data
- Works with all trading instruments (stocks, crypto, forex, futures, etc.)
## Timeframe Applications
### Chart Viewing Options
- Can be viewed on any timeframe chart (1min to Monthly)
- Maintains hourly pattern analysis regardless of chart timeframe
- Helps correlate hourly patterns with your preferred trading timeframe
- Allows detailed visualization of hourly patterns within your analysis period
### Intraday Trading
- Identify the most profitable hours for trading
- Plan trading sessions around historically strong hours
- Optimize entry and exit timing based on hourly patterns
- Structure day trading schedules around peak movement hours
### Swing Trading
- Use hourly statistics to optimize entry/exit timing
- Plan trade executions during historically strong hours
- Time position entries based on hourly success rates
- Enhance swing trading decisions with hourly pattern data
## Practical Applications
### Pattern Recognition
- Track recurring hourly market movements
- Identify institutional trading hour patterns
- Detect regular market cycle hours
- Recognize changes in hourly market behavior
### Risk Management
- Adjust position sizing based on historical hourly patterns
- Plan entries during statistically favorable hours
- Time stop loss adjustments around known volatile hours
- Scale positions according to hourly success rates
### Trade Planning
- Schedule trading sessions during optimal hours
- Plan trade executions around strong movement periods
- Structure trading day around peak hours
- Time position adjustments to favorable hours
## Setup Options
- Timeframe: View on any chart timeframe while tracking hourly patterns
- Visual Display: Non-intrusive table overlay
- Color Coding: Green for upward movements, Red for downward movements
- Hour Display: 24-hour format for global market compatibility
## Trading Strategy Integration
The indicator enhances trading approaches through:
- Optimal hour identification for trade execution
- Historical hourly pattern analysis
- Day trading session optimization
- Position timing based on hourly statistics
## Notes
This indicator proves particularly valuable for:
- Traders seeking to optimize their daily trading schedule
- Day traders focusing on peak market hours
- Swing traders optimizing entry/exit timing
- Traders adapting strategies to specific market hours
- International traders tracking hour-specific patterns across sessions
The tool's hourly pattern analysis provides crucial timing information regardless of your preferred chart timeframe or trading style, helping optimize trade execution around the most statistically favorable hours of the day.
Simple COT ReportCOT Net Positions Indicator
Author: © Munkhtur
This indicator provides a comprehensive visualization of the Commitment of Traders (COT) report data, enabling traders to analyze market sentiment and positioning for key market participants.
Key Features:
Dashboard Display: Shows the net positions of Commercial, Noncommercial, and Nonreportable (Retail) traders.
Dynamic Position Tracking: Highlights significant changes in long and short positions for all trader categories based on customizable percentage thresholds.
COT Data Integration: Utilizes Legacy COT report data with clear segregation of long, short, and net positions.
Visual Signals:
Bullish and bearish trends are indicated with customizable colors for better chart visualization.
Displays "open" and "close" position changes directly on the price candles for easier tracking.
Flexible Configuration: Adjustable settings for dashboard location, text size, percentage thresholds, and color schemes.
How to Use:
Load the Script: Add the indicator to your Futures chart only by navigating to the TradingView indicators menu and selecting it from your saved scripts.
Customize Settings:
Dashboard: Enable or disable the dashboard, and set its position (Top Left, Top Right, etc.).
Data on Candle: Turn on/off the visualization of COT data changes on price candles and define the percentage change threshold to focus on significant moves.
Style Options: Customize bullish and bearish colors for better visual differentiation.
Select Trader Group: Choose from Commercial, Noncommercial, or Nonreportable positions in the settings menu to analyze the specific group of market participants.
Interpret Signals:
Green bars indicate opening long positions or bullish sentiment.
Red bars highlight opening short positions or bearish sentiment.
Yellow and purple bars signify the closure of long and short positions, respectively.
Use Cases:
Identify market sentiment shifts by observing net position changes among different trader groups.
Spot potential trend reversals based on COT data dynamics.
Use as a complementary tool to confirm your existing trading strategies.
Disclaimer:
This indicator is a tool for educational and informational purposes only. Always combine it with your own analysis and risk management strategy when trading.
BTX27-MAXIndicator Description: BTX27-MAX
The BTX27-MAX is a comprehensive trading indicator designed to provide traders with customizable signals and alerts based on RSI and ATR calculations. It offers both automatic and manual configurations, making it adaptable to various currency pairs and trading styles. The indicator integrates with Telegram for real-time alerts and includes features for trade management and performance tracking.
Key Features:
Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences.
Automatic or Manual Configuration: Automatically sets optimal parameters for selected currency pairs or allows manual input for personalized settings.
RSI and ATR-Based Signals: Utilizes RSI smoothing and ATR calculations to identify potential trading opportunities.
Automatic SL and TP Levels: Projects customizable Stop-Loss and Take-Profit levels directly on the chart.
Telegram Integration: Sends customized buy or sell alerts with trade details to your Telegram channel.
Day and Time Filters: Allows selection of trading days and specific trading hours for signal generation.
Trade Summary Table: Displays the results of the last three trades (Win/Loss) directly on the chart.
Customizable Alert Messages: Personalize the messages sent to Telegram for both buy and sell signals.
Visual Enhancements: Colors candles based on trend direction and highlights the trading session on the chart.
How Does the Indicator Work?
Color Style Selection:
- Choose between "Dark" or "Light" themes to match your chart setup.
Currency Pair Selection:
- Select from predefined currency pairs: "EURUSD M5", "USDCAD M3", "GBPUSD M9", "XAUUSD M9".
Automatic vs. Manual Configuration:
- Automatic Configuration: When enabled, the indicator automatically sets parameters optimized for the selected currency pair.
- Manual Configuration: Allows you to input your own parameters for RSI period, smoothing factor, liquidity factors, and SL/TP ticks.
Telegram Integration:
- Input your Telegram chat ID to receive real-time alerts when signals are generated.
Trading Days and Hours:
- Customize which days of the week you want to receive signals.
- Set specific trading start and end hours to focus on preferred trading sessions.
Indicator Calculations:
- Calculates RSI and applies smoothing to identify the trend.
- Uses ATR for volatility measurement and to set dynamic liquidity bands.
Signal Generation:
- A Buy Signal is generated when specific RSI and ATR conditions are met.
- A Sell Signal is generated under the opposite conditions.
- Signals are only generated during the specified trading days and hours.
Trade Execution Visuals:
- Automatically draws SL and TP boxes on the chart for each signal.
- Colors candles based on trend direction: bullish, bearish, or neutral.
Telegram Alerts:
- Sends customized messages to your Telegram channel, including trade details like entry price, SL, TP, volatility, and trend direction.
Trade Summary Table:
- Displays the results of the last three trades ("✅ TP" for Take Profit hit, "❌ SL" for Stop Loss hit) on the chart.
How to Use the Indicator?
Setup:
- Add the indicator to your TradingView chart.
- Choose your preferred Color Style (Dark or Light).
- Select the Currency Pair you are trading.
- Decide whether to use Automatic Configuration or input your own settings.
Configure Telegram Alerts:
- Input your Telegram Chat ID to receive alerts.
- Customize the Buy and Sell alert messages if desired.
Set Trading Days and Hours:
- Enable or disable trading on specific days of the week.
- Set your preferred trading session hours.
Monitor Signals:
- Watch for buy or sell labels appearing on the chart.
- Use the SL and TP boxes to plan your trade entries and exits.
Review Trade Performance:
- Check the trade summary table to see the outcomes of recent trades.
What Makes This Indicator Original?
Adaptable Configuration: Offers both automatic and manual settings, making it suitable for traders of all levels and various trading instruments.
Comprehensive Alerts: Provides detailed alerts via Telegram, including custom messages and comprehensive trade information.
Trade Management Tools: Automatically calculates and visualizes SL and TP levels, aiding in effective risk management.
Performance Tracking: Includes an on-chart summary of recent trade results, helping traders assess the indicator's effectiveness over time.
Visual Customization: Enhances chart visuals with color themes, candle coloring, and trading session highlights.
Additional Considerations
Testing and Optimization: Before using the indicator in live trading, test it in a demo account and adjust settings as needed.
Complementary Analysis: Use in conjunction with other technical or fundamental analysis tools to confirm signals.
Risk Management: Ensure that the automatically calculated SL and TP levels align with your risk tolerance and trading strategy.
Market Awareness: Stay informed about economic events that may impact the instruments you are trading.
Example Configuration
Assuming you are trading "EURUSD M5" with Automatic Configuration enabled:
RSI Period: 15
RSI Smoothing Factor: 14
Rapid Liquidity Factor: 2.238
Liquidity Threshold: 15
SL Ticks: 100
TP Ticks: 300
Trading Days: Tuesday, Wednesday, Thursday
Trading Hours: Start at 8:00, End at 10:00
Telegram Chat ID: Your unique Telegram chat ID
Conclusion
The BTX27-MAX indicator is a versatile tool that combines technical analysis with automated trade management and alerting features. Its adaptability through automatic and manual configurations makes it suitable for a wide range of trading styles and instruments. By integrating real-time Telegram alerts and providing on-chart visual aids, it enhances decision-making processes and helps traders manage their trades more effectively.
Ready for immediate use in TradingView, this indicator can be a valuable addition to your trading toolkit.
Prime Multi-Ticker Screener: Real-Time Market StructurePrime Multi-Ticker Screener: Real-Time Market Structure and Trend Detection Tool
Prime Multi-Ticker Screener is designed to track multiple tickers simultaneously, providing real-time insights into market trends and structure changes such as CHoCH (Change of Character) and BOS (Break of Structure). This tool is perfect for traders looking to monitor multiple assets across different timeframes while receiving clear signals that highlight critical market shifts. The indicator delivers instant visual feedback with color-coded backgrounds to make interpreting signals easy and efficient.
Core Features of Prime Multi-Ticker Screener
Multi-Ticker Monitoring: Track up to 5 tickers across multiple timeframes in a single dashboard. This makes it easy to watch several assets at once without cluttering your chart.
CHoCH and BOS Detection: The screener automatically detects and highlights significant market structure shifts. CHoCH signals are shown when a trend reverses or consolidates, while BOS signals indicate a break in previous highs or lows, helping traders catch potential trend reversals early.
Color-Coded Visuals: The background of each signal cell dynamically changes color to represent bullish or bearish signals. Green indicates bullish activity, while red highlights bearish market shifts, making it easy for traders to identify key movements at a glance.
Close Price and ATR Data: For each ticker, the screener displays both the current close price and the 14-period Average True Range (ATR), providing important volatility information to support decision-making.
Detailed Explanation of How Prime Multi-Ticker Screener Works
Prime Multi-Ticker Screener combines trend detection with real-time market structure analysis to deliver comprehensive market insights. It analyzes the following components:
CHoCH Detection: Change of Character occurs when the market switches from trending to ranging or vice versa. This indicator catches these moments by identifying when prices cross pivot levels, providing traders with a valuable signal of potential market phase changes.
BOS Detection: The Break of Structure function highlights moments when the price breaks a significant high or low, often indicating the start of a new trend or the continuation of an existing one.
Close Price & ATR Monitoring: Alongside market structure signals, the screener provides real-time data on the close price and the Average True Range (ATR), ensuring traders have a complete picture of the price and volatility landscape for each asset they are tracking.
Why It's Useful for Traders
Prime Multi-Ticker Screener is a versatile tool that offers substantial benefits to traders who want to stay informed about multiple assets and trends simultaneously:
Comprehensive Monitoring: Track multiple assets in real time, all from a single indicator. Whether you trade crypto, forex, or stocks, this tool helps you stay on top of market movements across different assets and timeframes.
Market Structure Analysis: The automatic detection of CHoCH and BOS signals gives traders an edge by identifying potential reversals and trend continuations as they happen, allowing for more timely and informed trading decisions.
Efficient and Intuitive Design: The screener is designed with simplicity in mind. The color-coded backgrounds quickly alert traders to market structure shifts without overwhelming them with data, making it ideal for those who need to act fast.
How It Works: Practical Usage
Prime Multi-Ticker Screener is ideal for:
Day traders: The real-time tracking of multiple assets allows day traders to quickly spot trading opportunities across different markets.
Swing traders: CHoCH and BOS detection help swing traders catch key market structure shifts, helping them align trades with emerging trends.
Trend followers: The screener provides instant feedback on when a trend is continuing or breaking, helping trend-following traders maintain their positions or exit early when needed.
By combining multiple key metrics—price, volatility, and market structure—Prime Multi-Ticker Screener ensures traders are well-equipped to manage their positions across a variety of assets.
Risk Disclaimer
While Prime Multi-Ticker Screener provides valuable market insights, it's important to remember:
Past performance is not indicative of future results: This screener provides analysis based on historical data, and no indicator can predict future market movements with certainty.
Market Conditions: The effectiveness of Prime Multi-Ticker Screener may vary in different market conditions, so traders should always use proper risk management when trading.
Trading Risks: Like any trading tool, Prime Multi-Ticker Screener should be used as part of a comprehensive trading strategy, including risk management techniques such as stop-loss orders and position sizing.
Bull Market Drawdowns V1.0 [ADRIDEM]Bull Market Drawdowns V1.0
Overview
The Bull Market Drawdowns V1.0 script is designed to help visualize and analyze drawdowns during a bull market. This script calculates the highest high price from a specified start date, identifies drawdown periods, and plots the drawdown areas on the chart. It also highlights the maximum drawdowns and marks the start of the bull market, providing a clear visual representation of market performance and potential risk periods.
Unique Features of the New Script
Default Timeframe Configuration: Allows users to set a default timeframe for analysis, providing flexibility in adapting the script to different trading strategies and market conditions.
Customizable Bull Market Start Date: Users can define the start date of the bull market, ensuring the script calculates drawdowns from a specific point in time that aligns with their analysis.
Drawdown Calculation and Visualization: Calculates drawdowns from the highest high since the bull market start date and plots the drawdown areas on the chart with distinct color fills for easy identification.
Maximum Drawdown Tracking and Labeling: Tracks the maximum drawdown for each period and places labels on the chart to indicate significant drawdowns, helping traders identify and assess periods of higher risk.
Bull Market Start Marker: Marks the start of the bull market on the chart with a label, providing a clear reference point for the beginning of the analysis period.
Originality and Usefulness
This script provides a unique and valuable tool by combining drawdown analysis with visual markers and customizable settings. By calculating and plotting drawdowns from a user-defined start date, traders can better understand the performance and risks associated with a bull market. The script’s ability to track and label maximum drawdowns adds further depth to the analysis, making it easier to identify critical periods of market retracement.
Signal Description
The script includes several key visual elements that enhance its usefulness for traders:
Drawdown Area : Plots the upper and lower boundaries of the drawdown area, filling the space between with a semi-transparent color. This helps traders easily identify periods of market retracement.
Maximum Drawdown Labels : Labels are placed on the chart to indicate the maximum drawdown for each period, providing clear markers for significant drawdowns.
Bull Market Start Marker : A label is placed at the start of the bull market, marking the beginning of the analysis period and helping traders contextualize the drawdown data.
These visual elements help quickly assess the extent and impact of drawdowns within a bull market, aiding in risk management and decision-making.
Detailed Description
Input Variables
Default Timeframe (`default_timeframe`) : Defines the timeframe for the analysis. Default is 720 minutes
Bull Market Start Date (`start_date_input`) : The starting date for the bull market analysis. Default is January 1, 2023
Functionality
Highest High Calculation : The script calculates the highest high price on the specified timeframe from the user-defined start date.
```pine
var float highest_high = na
if (time >= start_date)
highest_high := na(highest_high ) ? high : math.max(highest_high , high)
```
Drawdown Calculation : Determines the drawdown starting point and calculates the drawdown percentage from the highest high.
```pine
var float drawdown_start = na
if (time >= start_date)
drawdown_start := na(drawdown_start ) or high >= highest_high ? high : drawdown_start
drawdown = (drawdown_start - low) / drawdown_start * 100
```
Maximum Drawdown Tracking : Tracks the maximum drawdown for each period and places labels above the highest high when a new high is reached.
```pine
var float max_drawdown = na
var int max_drawdown_bar_index = na
if (time >= start_date)
if na(max_drawdown ) or high >= highest_high
if not na(max_drawdown ) and not na(max_drawdown_bar_index) and max_drawdown > 10
label.new(x=max_drawdown_bar_index, y=drawdown_start , text="Max -" + str.tostring(max_drawdown , "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
max_drawdown := 0
max_drawdown_bar_index := na
else
if na(max_drawdown ) or drawdown > max_drawdown
max_drawdown := drawdown
max_drawdown_bar_index := bar_index
```
Drawdown Area Plotting : Plots the drawdown area with upper and lower boundaries and fills the area with a semi-transparent color.
```pine
drawdown_area_upper = time >= start_date ? drawdown_start : na
drawdown_area_lower = time >= start_date ? low : na
p1 = plot(drawdown_area_upper, title="Drawdown Area Upper", color=color.rgb(255, 82, 82, 60), linewidth=1)
p2 = plot(drawdown_area_lower, title="Drawdown Area Lower", color=color.rgb(255, 82, 82, 100), linewidth=1)
fill(p1, p2, color=color.new(color.red, 90), title="Drawdown Fill")
```
Current Maximum Drawdown Label : Places a label on the chart to indicate the current maximum drawdown if it exceeds 10%.
```pine
var label current_max_drawdown_label = na
if (not na(max_drawdown) and max_drawdown > 10)
current_max_drawdown_label := label.new(x=bar_index, y=drawdown_start, text="Max -" + str.tostring(max_drawdown, "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
if (not na(current_max_drawdown_label))
label.delete(current_max_drawdown_label )
```
Bull Market Start Marker : Places a label at the start of the bull market to mark the beginning of the analysis period.
```pine
var label bull_market_start_label = na
if (time >= start_date and na(bull_market_start_label))
bull_market_start_label := label.new(x=bar_index, y=high, text="Bull Market Start", color=color.blue, style=label.style_label_up, textcolor=color.white, size=size.normal)
```
How to Use
Configuring Inputs : Adjust the default timeframe and start date for the bull market as needed. This allows the script to be tailored to different market conditions and trading strategies.
Interpreting the Indicator : Use the drawdown areas and labels to identify periods of significant market retracement. Pay attention to the maximum drawdown labels to assess the risk during these periods.
Signal Confirmation : Use the bull market start marker to contextualize drawdown data within the overall market trend. The combination of drawdown visualization and maximum drawdown labels helps in making informed trading decisions.
This script provides a detailed view of drawdowns during a bull market, helping traders make more informed decisions by understanding the extent and impact of market retracements. By combining customizable settings with visual markers and drawdown analysis, traders can better align their strategies with the underlying market conditions, thus improving their risk management and decision-making processes.
AllTheUpsTheresAlwaysDowns "AllTheUpsTheresAlwaysDowns" ☆ATUTAD☆ // w%r + ma indicator designed for forex trading.
This indicator combines the Williams %R, moving averages, and session tracking.
Key Inputs:
Williams%Range Period: Adjusts the sensitivity of the Williams %R calculation.
Moving Average Period: Defines the period for the moving average used in the indicator.
Overbought and Oversold Thresholds: Sets the thresholds for identifying overbought and oversold conditions.
Features:
Williams %R Calculation: Calculates the Williams %R, a momentum oscillator that measures overbought and oversold levels.
Moving Averages: Plots two moving averages to capitalize on and visualize trend direction.
Session Tracking: Identifies the start and end of trading sessions (Tokyo, London, New York) for better session-based analysis.
Signal Generation: Generates buy/sell signals based on Williams %R levels and moving average crossovers.
Color Coding: Visualizes color-coded bars and shapes to highlight different market conditions and signal types.
Alerts: For buy/sell signals and overbought/oversold conditions to prompt timely actions.
Usage Tips:
Interpret Signals: Trend direction through buy/sell signals and overbought/oversold trend,- reversal / breakout line conditions for potential trading opportunities.
Session Awareness: Take into account the trading sessions (Tokyo, London, New York) to move along with the market dynamics during different times of the day.
Confirmation: Use additional technical analysis tools to confirm signals before executing trades. For example the Williams Percetange Range indicator.
Risk Management: Trade with proper risk management strategies to avoid potential losses.
HappyTrading
Dividend Calendar (Zeiierman)█ Overview
The Dividend Calendar is a financial tool designed for investors and analysts in the stock market. Its primary function is to provide a schedule of expected dividend payouts from various companies.
Dividends, which are portions of a company's earnings distributed to shareholders, represent a return on their investment. This calendar is particularly crucial for investors who prioritize dividend income, as it enables them to plan and manage their investment strategies with greater effectiveness. By offering a comprehensive overview of when dividends are due, the Dividend Calendar aids in informed decision-making, allowing investors to time their purchases and sales of stocks to optimize their dividend income. Additionally, it can be a valuable tool for forecasting cash flow and assessing the financial health and dividend-paying consistency of different companies.
█ How to Use
Dividend Yield Analysis:
By tracking dividend growth and payouts, traders can identify stocks with attractive dividend yields. This is particularly useful for income-focused investors who prioritize steady cash flow from their investments.
Income Planning:
For those relying on dividends as a source of income, the calendar helps in forecasting income.
Trend Identification:
Analyzing the growth rates of dividends helps in identifying long-term trends in a company's financial health. Consistently increasing dividends can be a sign of a company's strong financial position, while decreasing dividends might signal potential issues.
Portfolio Diversification:
The tool can assist in diversifying a portfolio by identifying a range of dividend-paying stocks across different sectors. This can help mitigate risk as different sectors may react differently to market conditions.
Timing Investments:
For those who follow a dividend capture strategy, this indicator can be invaluable. It can help in timing the buying and selling of stocks around their ex-dividend dates to maximize dividend income.
█ How it Works
This script is a comprehensive tool for tracking and analyzing stock dividend data. It calculates growth rates, monthly and yearly totals, and allows for custom date handling. Structured to be visually informative, it provides tables and alerts for the easy monitoring of dividend-paying stocks.
Data Retrieval and Estimation: It fetches dividend payout times and amounts for a list of stocks. The script also estimates future values based on historical data.
Growth Analysis: It calculates the average growth rate of dividend payments for each stock, providing insights into dividend consistency and growth over time.
Summation and Aggregation: The script sums up dividends on a monthly and yearly basis, allowing for a clear view of total payouts.
Customization and Alerts: Users can input custom months for dividend tracking. The script also generates alerts for upcoming or current dividend payouts.
Visualization: It produces various tables and visual representations, including full calendar views and income tables, to display the dividend data in an easily understandable format.
█ Settings
Overview:
Currency:
Description: This setting allows the user to specify the currency in which dividend values are displayed. By default, it's set to USD, but users can change it to their local currency.
Impact: Changing this value alters the currency denomination for all dividend values displayed by the script.
Ex-Date or Pay-Date:
Description: Users can select whether to show the Ex-dividend day or the Actual Payout day.
Impact: This changes the reference date for dividend data, affecting the timing of when dividends are shown as due or paid.
Estimate Forward:
Description: Enables traders to predict future dividends based on historical data.
Impact: When enabled, the script estimates future dividend payments, providing a forward-looking view of potential income.
Dividend Table Design:
Description: Choose between viewing the full dividend calendar, just the cumulative monthly dividend, or a summary view.
Impact: This alters the format and extent of the dividend data displayed, catering to different levels of detail a user might require.
Show Dividend Growth:
Description: Users can enable dividend growth tracking over a specified number of years.
Impact: When enabled, the script displays the growth rate of dividends over the selected number of years, providing insight into dividend trends.
Customize Stocks & User Inputs:
This setting allows users to customize the stocks they track, the number of shares they hold, the dividend payout amount, and the payout months.
Impact: Users can tailor the script to their specific portfolio, making the dividend data more relevant and personalized to their investments.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Breakout & Trend & Scalping (Zeiierman)█ Overview
Breakout & Trend & Scalping (Zeiierman) transforms time, volume, and trend behavior into a unified visual framework for identifying market expansion, compression, and breakout phases. Instead of viewing price as an isolated movement, the indicator reinterprets it as a continuous relationship between time-driven flow, volume displacement, and trend momentum.
The system constructs a hybrid analytical field using OBV-based flow modeling, time–trend alignment, and adaptive candle smoothing, providing a clear and fluid representation of both breakout probability and structural trend strength.
This advanced framework adapts to different market contexts, including intraday scalping, swing-trend validation, and multi-timeframe continuation analysis, revealing how volume and trend energy accumulate before volatility expansion.
⚪ Why This One Is Unique
Unlike conventional breakout or trend indicators that rely solely on price or volatility, this tool integrates time-weighted OBV mechanics, multi-timeframe trend correlation, and volatility-normalized candle transformation.
Its design leverages an adaptive Time–Trend Integration Engine that adjusts dynamically based on the selected timeframe and method. The result is a fluid, self-normalizing view of market rhythm, capturing not only the visible structure of trends but also the hidden buildup of momentum that precedes breakouts.
█ Main Feature: BTS Adaptive Candle System
The BTS Adaptive Candle System unifies time-based and trend-based flow analysis into a single visual model of market behavior. It synchronizes short-term momentum with long-term trend equilibrium, revealing how volume and directional energy evolve across different temporal structures.
The flow is inherently adaptive. During stable phases, it compresses volatility to emphasize directional persistence and trend continuity. When acceleration builds, it expands to highlight breakout potential and the ignition of new momentum.
Green-to-red and (red-to-green) transitions indicate shifts in order-flow dominance, while color intensity reflects the relative strength of participation. The built-in smoothing system filters out random noise while maintaining fast response to emerging direction, making the BTS Candle System equally effective for scalping precision, breakout confirmation, and long-term trend tracking.
█ How to Use
⚪ Trend Trading
Bullish trends appear when candles remain near the top of their range with bright, steady coloration. This structure shows sustained accumulation and consistent trend support. Fading color or mixed tones suggest short pauses or shallow pullbacks within an ongoing uptrend.
Bearish trends form when candles cluster near the lower range and deepen in red intensity, reflecting growing selling pressure. Consistent red sequences mark continued distribution, while lighter tones or brief color shifts often precede corrective bounces within a broader downtrend.
⚪ Trend Change Trading
When a large BTS candle crosses the midline, it often marks a decisive shift in market control. A strong candle breaking above the midline reflects dominant buying flow and the early phase of bullish momentum, often signaling the start of a new upward trend.
Conversely, when a large candle drops below the midline, it shows dominant selling pressure and the potential beginning of a downward cycle.
These midline transitions represent key moments where institutional flow changes direction. A rapid color shift or fading saturation in candles around these areas frequently precedes a trend reversal or volatility breakout, making them powerful confirmation points for both breakout and trend-change strategies.
⚪ Retracement/Pullback Trading
When BTS candles remain green or turn light yellow near the midline, it indicates balanced momentum as price consolidates during a temporary retracement. A renewed shift back to bright green candles from this area often signals the end of the pullback and the continuation of the uptrend.
In a downtrend, when BTS candles shift to light yellow or fade toward the midline, it shows a temporary slowdown in selling pressure as the price retraces upward. A return to deep red candles after this brief balance phase confirms renewed selling momentum and continuation of the prevailing downtrend.
⚪ Breakout Trading
Big candles in the BTS indicate a shift in control. If this occurs around a resistance level, there is a high chance that price will break out upward.
Similarly, if a large downward BTS candle appears near a support level, there is a high chance that a bearish breakout will follow through.
█ How It Works
⚪ Integrated Market Framework
The BTS system merges time, trend, and volatility behavior into a single adaptive flow field. It constantly balances fast and slow market components, maintaining a smooth equilibrium between short-term reactions and long-term structure.
Calculation: Uses normalized scaling and adaptive synchronization to align directional momentum across changing market states.
⚪ Core Trend Engine
At its center, the model interprets how price movement evolves within its volatility range. It tracks shifts in directional energy and transforms them into a stable momentum surface that highlights both trend continuation and turning points.
Calculation: Applies equilibrium-based mapping to sustain consistent directional flow even during market acceleration or compression.
⚪ Volatility Envelope System
The indicator forms a dynamic envelope around price movement, expanding and contracting with the current market speed. These zones reflect where energy concentrates or fades, helping visualize breakout potential and exhaustion levels.
Calculation: Adapts envelope boundaries through volatility-responsive scaling and balanced symmetry control.
⚪ Adaptive Time Modes
Two adaptive modes — Time and Trend — control how the model responds to changing conditions. The system automatically adjusts its responsiveness, allowing it to behave as a fast scalping model or a slow trend tracker without losing structural balance.
Calculation: Dynamically modifies its internal scaling to maintain equilibrium between speed and smoothness across selected timeframes.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
付费脚本
TradeChartist PowerTracer™TradeChartist PowerTracer is an exceptionally well designed and functional indicator, requiring minimal user input to trace the asset's Bull and Bear Power. The indicator makes it visually engaging with its various color schemes and intelligent positioning of the PowerTracer Bar, tracking not just the current trend, but also the developing trend using a visually easy to understand Power plots.
What does ™TradeChartist PowerTracer do?
1. Tracks Bull and Bear Power and plots the information visually on chart using one of the following 3 Power plot options based on high or low power detection sensitivity.
𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿 - Plot of the Bull and Bear Power Oscillator, pivotal to this script that tracks the true Bull and Bear Power along with Bull/Bear oscillator reading, calculated dynamically using a unique and original formula. Values beyond 50 and -50 are quite rare, but theoretically, they can go beyond 80 and -80. 𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿's highs and lows are also tracked and updated real-time using labels placed exactly at the Highs and Lows with their readings.
Bar-wise Power Holder - Absolute Bull and Bear power of each bar. It is plotted by calculating the difference between Bull and Bear Power or each bar. The values can swing between -100 and +100 even though values above 90 and below 90 are rare. The bar color on the chart will be painted using this value to visually display the Bull/Bear strength if "Paint Bars on Chart" is enabled from the indicator settings.
Bar-wise Power Fight - Plot of Maximum Bull and Bear Power of every bar that helps visualize the fight between Bulls and Bears in each bar.
2. Visually displays the Balance of Power between the Bulls and the Bears using Opponent Power Gain background fill when it is 50% or over. For example, if the current PowerTracer plot is a Bull zone, enabling this setting with Opponent Power Gain % set at 75, will paint the background when Bear Power increases beyond 75% using the Bear Power Intensity fill based on Color Scheme the user opts from the settings. This option can be enabled or disabled from settings and the Opponent Power gain % (minimum 50%) can also be adjusted to spot the change in price trend early on.
3. Uses an accompanying 𝗣𝗼𝘄𝗲𝗿𝗧𝗿𝗮𝗰𝗲𝗿 bar that helps spot the true bull and bear power using simple linear blocks, displaying the power level using power intensity colors based on the color scheme.
4. Paints price bars and PowerTracer background using Power intensity colors based on Color Scheme from the indicator settings, which helps spot the increase or decrease in Bull and Bear Power.
5. Inverts bar colors, background fill and PowerTracer bar color to help see price using the Opponent's Point of View.
What markets can this indicator be used on?
-- Forex
-- Stocks - works best with 4hr or above and prices calculated taking gaps into account.
-- Commodities
-- Cryptocurrencies
and almost any asset on Trading View
What time-frames can this indicator be used on?
This indicator can be used on all timeframes. If the asset has very little volume/volatility or is far low in comparative value against the base currency, power detection can be choppy, but with most assets, this won't be an issue.
Does this indicator repaint?
-- No. Real-time Power plots can change colors and values based on current bar close as values get calculated dynamically. Once the bar closes, plots and power intensity colors don't repaint.
-- This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay
Does the indicator send alerts when the power shifts from Bull to Bear or from Bear to Bull?
Yes. Users can get alerts when Power gets shifted using Trading View alerts. This can be done by choosing '™TradeChartist PowerTracer' and 'Powershift to Bulls' or 'Powershift to Bears' under Trading View Alert condition and by using 'Once per bar close' as user needs to wait for candle close for Power shift confirmation.
Example Charts
In this split screen chart of Bitcoin, it can be seen how the 30m chart on left is Bearish and 5m chart on right is Bullish based on Power changes. The trend can be spotted on PowerTracer by spotting the Opponent's background fill that started showing when Opponent's power gained by over 75%. This is a good example using the script for scalping/swing trading using 2 timeframes. Note that the chart on the left shows Price bars and PowerTracer bar with inverted colors to show Opponent's point of view.
In this 15m chart of GBP-USD, 100% Power gain for Entries and Exits is used. This is a more conservative approach and is suited for less aggressive traders based on complete change of trend.
In this 2hr chart of Ethereum, all 3 Power plots are used to identify the trend using low sensitivity using 100% Power Gain entries and this shows how a trade can be held longer to maximise gains using entries with Power shift confirmations.
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras)
Overview & Philosophy
The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?"
Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT).
This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025.
Methodology
The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days).
The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point.
Dynamic Eras: The basket of coins changes depending on the date:
2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL.
2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO.
2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM.
2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum).
2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE).
Chart Analysis & Strategy ( The "Alpha" )
As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH).
The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets.
The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions.
How to Read the Visuals
🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On."
🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins.
Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active.
Settings
Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier.
Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25).
Credits & Attribution
This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView:
Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason..
TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) .
Comparison: Why use ALSI | RM?
While inspired by the above, ALSI introduces three key improvements:
Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal.
Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal.
Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle.
You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator.
Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets.
Disclaimer
This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events.
Tags
bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
