SMC Institutional Clean Wave & Structure PROSMC Institutional Clean Wave & Structure PRO
SMC Institutional Clean Wave & Structure PRO is a refined technical analysis indicator engineered to provide institutional order flow insights, precise market structure tracking, and uncluttered visual clarity on both light and dark trading themes. It replaces unnecessary chart noise with clean dynamic trend wave fills, smart consolidation candle color detection, and confirmed structure shifts.
Key Features Overview
1. Dynamic Single Trend Wave & Background Fill
Provides a smooth continuous structural trend wave. Renders vibrant green during bullish expansion phases and solid red during bearish contraction phases with a soft, unobtrusive background fill.
2. Smart Consolidation Candle Engine
Automatically highlights price action state. Bullish candles render in bright green, bearish candles in red, while tight consolidation or inside bar candles dynamically shift to a distinct grayish-white color to quickly highlight market compression.
3. Clean Market Structure Shifts (BOS & CHoCH)
Tracks key market structure breakouts. Identifies initial trend reversals as Change of Character (CHoCH) and structural extensions as Break of Structure (BOS), rendered with centered non-overlapping labels.
4. Confirmed Major Swing BUY & SELL Badges
Highlights major institutional high and low pivots with confirmed BUY and SELL badges. Pivot sensitivity and badge styling can be customized independently.
5. Target Standard Deviation Level (-2.5 SD)
Calculates real-time structural volatility and projects a dynamic -2.5 Standard Deviation Target line to help anticipate key potential market reaction levels.
Settings Overview
Trend Wave Settings
- Show Trend Wave Line: Toggle wave line and fill display.
- Colors & Opacity: Adjust trend line colors and background opacity.
Candle Engine Settings
- Enable Smart Candle Color Engine: Toggle adaptive candle colors.
- Custom Colors: Define unique colors for bullish, bearish, and inside bars.
Structure Settings
- Show BOS & CHoCH Shifts: Toggle structure labels.
- Structure Sensitivity: Fine-tune pivot detection rules for cleaner charts.
Signal Badges
- Show Confirmed BUY / SELL Badges: Toggle buy and sell markers.
- Signal Swing Sensitivity: Adjust lookback periods for pivot signals.
Standard Deviation Settings
- Show -2.5 SD Target Line: Toggle volatility target line.
- Custom Style: Adjust line thickness, color, and line style options.
Disclaimer
This script is built strictly for educational, analytical, and charting enhancement purposes. It does not offer financial advice or guaranteed trading results. Practice strict risk management.
Indicator
SMC Institutional Execution & Liquidity Matrix PROSMC Institutional Execution & Liquidity Matrix PRO
SMC Institutional Execution & Liquidity Matrix PRO is an advanced, institutional grade technical analysis framework engineered for modern technical traders and quantitative analysts. It provides an intuitive, high definition visual presentation of Smart Money Concepts, dynamic liquidity zones, market structure shifts, and institutional order flow bias without cluttering price action.
Key Features Overview
1. Glowing Trend Wave Engine
Features an ultra smooth dynamic trend wave layer with a soft glow effect. It seamlessly adapts color according to current market momentum, helping traders instantly identify overall dynamic directional bias.
2. Clean Split Line Market Structure
Maps Break of Structure (BOS) and Change of Character (CHoCH) points with extreme precision. The structure line splits neatly in the center with a dedicated gap around the text label, keeping price action clear and uncluttered.
3. Auto Cleaning Institutional Liquidity Zones
Automatically detects Supply and Demand imbalances and key liquidity pools. To maintain visual clarity, mitigated zones automatically adjust and delete themselves as soon as price fills the imbalance.
4. Text Free Major High and Low Badges
Isolates major macro swing high and low extremes using solid colored badges without text clutter. Highlights Intermediate Term High and Low alternatives for instant turning point identification.
5. Smart Candle Heatmap & Displacement Highlights
Dynamically colors price candlesticks based on overall macro trend state, while highlighting high momentum volume displacement expansion candles in a distinct gold color.
How to Use
Step 1: Determine Macro Bias
Observe the Glowing Trend Wave and dynamic candle theme to assess overall institutional trend bias and momentum.
Step 2: Monitor Clean Structure Signals
Look for precise Break of Structure lines and Change of Character signals to identify structural continuity or reversals.
Step 3: Execute in Active Liquidity Zones
Utilize active, unmitigated Supply and Demand boxes for high probability entry and exit locations aligned with order flow.
Settings Overview
Glowing Wave Settings
- Show Glowing Trend Wave: Toggle display of the dynamic trend wave.
- Wave Period & Line Thickness: Adjust wave sensitivity and visual halo glow.
Market Structure Settings
- Show BOS & CHoCH Lines: Toggle market structure signals.
- Customization: Independently adjust line styles, line width, and font size.
Liquidity Zone Settings
- Show Auto Liquidity Zones: Toggle Supply and Demand boxes.
- Zone Fill Transparency: Customize fill opacity from 0 to 100.
Major Swing Settings
- Show Clean Major Swing Badges: Toggle directional pivot badges.
Disclaimer
This script is built strictly for educational, analytical, and charting enhancement purposes. It does not provide financial advice, automated trade signals, or guaranteed results. Always practice strict risk management.
Indicator
TCP | Dominance Dashboard | Crypto Version🚀 Crypto Dominance Dashboard Pro
A Complete Dashboard for Monitoring Crypto Market Rotation
Understanding where capital is moving within the cryptocurrency market is one of the most valuable insights for traders and investors.
The crypto market is constantly shifting between Bitcoin, large-cap altcoins, small-cap assets, and stablecoins. Monitoring these rotations manually often requires multiple charts and significant analysis.
Crypto Dominance Dashboard Pro simplifies this process by bringing together the most important dominance metrics, market capitalization indexes, trend analysis, and momentum data into a single, easy-to-read dashboard.
Instead of switching between several charts, you can monitor the overall market structure, evaluate capital rotation, and gain a clearer view of the current market environment from one place.
Whether you're analyzing short-term market movements or following longer-term trends, the dashboard is designed to provide objective market context that can support your own trading and investment decisions.
✨ Features
📊 Comprehensive Market Dashboard
Track the most important crypto market metrics in real time:
• 🟠 Bitcoin (BTC)
• 🔵 Ethereum (ETH)
• 🟡 Bitcoin Dominance (BTC.D)
• 🟣 Ethereum Dominance (ETH.D)
• 🟢 Tether Dominance (USDT.D)
• ⚪ OTHERS Dominance
• 🌍 TOTAL Market Capitalization
• 🌎 TOTAL2 Market Capitalization
• 🌏 TOTAL3 Market Capitalization
• ⚡ ETH/BTC Relative Strength
🔄 Smart Market Regime Detection
The dashboard continuously evaluates multiple market conditions to identify the current market environment.
Possible market regimes include:
🟠 Bullish Bitcoin Environment
🔵 Bullish Large-Cap Altcoin Environment
🟢 Bullish Small-Cap Altcoin Environment
🔴 Bearish Bitcoin Environment
🔴 Bearish Large-Cap Altcoin Environment
⚪ Neutral / Range Market
Each regime is determined using a combination of dominance metrics, trend analysis, momentum, and capital rotation instead of relying on a single indicator.
📈 Trend Analysis
Monitor trend direction across key market metrics using moving average analysis.
Included trend detection:
✅ Bitcoin Price
✅ Bitcoin Dominance
✅ OTHERS Dominance
✅ Total Crypto Market
⚡ Momentum Analysis
The dashboard measures momentum across multiple market indexes to provide additional context for market activity.
Percentage change calculations include:
📈 BTC
📈 ETH
📈 BTC.D
📈 ETH.D
📈 USDT.D
📈 OTHERS.D
📈 TOTAL
📈 TOTAL2
📈 TOTAL3
📈 ETH/BTC
This approach helps traders monitor how strength and weakness develop across different areas of the market.
⏱ Automatic Timeframe Adaptation
Market conditions can look very different across timeframes.
To improve consistency, the indicator automatically adjusts its internal thresholds based on the selected chart timeframe.
Supported across:
⏱ 5 Minutes
⏱ 15 Minutes
⏱ 1 Hour
⏱ 4 Hours
⏱ Daily
⏱ Weekly
This adaptive scaling allows the dashboard to remain responsive across multiple trading styles.
💡 Market Outlook
Based on the detected market regime, the dashboard provides an easy-to-read market outlook to help interpret current conditions.
Examples include:
🟠 Bitcoin Leading the Market
🔵 Strength in Large-Cap Altcoins
🟢 Improving Small-Cap Participation
🔴 Defensive / Risk-Off Conditions
⚪ Neutral Market Structure
These summaries are intended to provide additional context and should be considered alongside your own market analysis.
🔔 Built-in Alerts
Receive PulseWire alerts whenever significant market conditions change.
Available alerts include:
✅ Bullish Bitcoin Environment
✅ Bullish Large-Cap Altcoin Environment
✅ Bullish Small-Cap Altcoin Environment
✅ Bearish Bitcoin Environment
✅ Bearish Large-Cap Altcoin Environment
✅ Risk-Off Conditions
Alerts help you stay informed about important market changes without continuously monitoring every chart.
🎨 Clean & Informative Interface
The dashboard is designed to present a large amount of market information in a clear and organized format.
✔ Color-coded momentum
✔ Trend direction indicators
✔ Percentage change tracking
✔ Market regime overview
✔ Market outlook summary
✔ Automatic timeframe scaling
Everything is organized to provide quick access to the information that matters most.
👥 Who Is This Indicator For?
Crypto Dominance Dashboard Pro is suitable for:
📌 Day Traders
📌 Swing Traders
📌 Position Traders
📌 Scalpers
📌 Long-Term Investors
📌 Portfolio Managers
📌 Market Analysts
Anyone interested in monitoring market structure and capital rotation can benefit from this dashboard.
🎯 Why Use Crypto Dominance Dashboard Pro?
Price is only one part of the market.
Dominance metrics, market capitalization indexes, relative strength, momentum, and trend analysis each provide a different perspective on market behavior.
By bringing these elements together into one dashboard, Crypto Dominance Dashboard Pro helps traders monitor changing market conditions, understand capital rotation, and build additional context for their own analysis.
Rather than focusing on a single metric, the dashboard provides a broader view of the crypto market that can support more informed decision-making.
⚠️ Disclaimer
This indicator is designed for educational and analytical purposes only.
It is intended to provide market context based on publicly available market data and should not be interpreted as financial or investment advice.
Always perform your own research and risk management before making trading or investment decisions.
❤️ Support the Project
If you find this indicator useful, your support is greatly appreciated.
⭐ Add it to your Favorites
👍 Like the script
💬 Leave a review and share your feedback
📢 Share it with other traders who may find it useful
Your feedback helps improve future updates and supports the development of additional tools for the PulseWire community.
Thank you for your support, and happy trading! 🚀
This indicator was designed and developed by TradeCityPro.
Special thanks to the TradeCityPro community for their continuous support, valuable feedback, and contribution to improving this project.
Thank you for your support, and happy trading! 🚀 Indicator
ICT Dynamic Entry Model & Structure Matrix PROICT Dynamic Entry Model & Structure Matrix PRO
ICT Dynamic Entry Model & Structure Matrix PRO is a clean, professional institutional charting script designed for traders following ICT mentorship principles and Smart Money Concepts. It delivers precise swing anchored market structure lines, dynamic trend candle themes, auto disappearing key levels, and gold highlighted expansion candles.
Key Features Overview
1. Precision Anchored BOS and CHoCH Structure
Market structure lines start exactly from the precise swing high or swing low origin price point. Text labels are positioned cleanly in the middle center of structure lines to avoid overlap with candlesticks.
2. Smart Trend Candle Engine
Driven by Intermediate Term High and Low levels. Once a red ITH prints, subsequent price candles dynamically adopt a solid bearish color scheme. When a green ITL prints, candles automatically convert to a bullish color scheme.
3. Gold Glowing FVG Expansion Candle Highlight
Identifies high momentum Fair Value Gap expansion candles, coloring the specific impulse candle in a distinct glowing gold yellow shade for instant institutional displacement detection.
4. Major ITH and ITL Level Badges
Features solid red Intermediate Term High badges and solid green Intermediate Term Low badges strictly at macro structural extremes.
5. Auto Disappearing Previous Day Boundaries
Tracks active Previous Day High and Previous Day Low boundaries. Daily lines automatically clean up and vanish as soon as price breaks or mitigates the level.
How to Use
Step 1: Identify Macro Shift
Look for green ITL badges for bullish bias or red ITH badges for bearish bias, which automatically adapts your overall candle colors.
Step 2: Monitor Centered Structure Signals
Observe precise dashed Break of Structure lines and solid Change of Character lines anchored directly from swing points with center aligned text.
Step 3: Spot Institutional Displacement
Identify gold glowing expansion candles that signal high volume displacement creating active Fair Value Gaps.
Settings Overview
Moving Average Settings
- Show Dual Moving Averages: Toggle visibility of EMAs.
- Period and Thickness Settings: Customize fast/slow periods and line width.
Market Structure Settings
- Show Precision BOS & CHoCH: Toggle centered structural lines.
- Sensitivity Period: Adjust pivot lookback calculations.
Smart Candle Settings
- Enable Smart Trend & Gold FVG Candles: Toggle dynamic trend colors and gold FVG expansion highlights.
Previous Day High and Low Settings
- Show Active PDH / PDL: Toggle display of auto disappearing daily key levels.
Entry Zone Settings
- Show Active Entry Zones: Toggle entry model rectangles and customize zone display text, text color, and fill opacity.
Disclaimer
This script is created strictly for educational, analytical, and charting enhancement purposes. It does not provide financial advice, trade recommendations, or guaranteed results. Always practice proper risk management.
Indicator
AlphaVault - Regime FilterTwo long-term trend filters and one rule: price above both is a bull regime, below both is
a bear regime, anything in between is neutral. It plots the filters, tints the background
by state, marks each change, and shows how long the current state has held.
NO REPAINTING. Both filters are read from the previous COMPLETED daily and weekly bar
(lookahead_off plus a one-bar offset), so the regime shown for a closed bar never changes
afterwards. This is worth verifying yourself on any indicator you did not write: scroll
back, note the state on an old bar, reload the chart, and check it is the same.
What it is for: deciding whether to be doing anything at all. Most trend systems lose the
majority of their money trying to trade against a long-term downtrend, and a neutral state
is genuinely common — roughly a fifth of all bars on BTC since 2018. Treating "no clear
regime" as a valid answer rather than a gap to be filled is most of the value here.
What it is not: an entry signal. It tells you which direction is permitted, not when to
act, and it will keep you out of some large moves that begin before the filters confirm.
It is deliberately slow. On BTC it changes state a handful of times a year.
Defaults are a 200-period SMA on daily closes and a 20-period EMA on weekly closes. Both
lengths are configurable, though the defaults are the ones worth arguing about — a filter
you re-tune until it looks good on the chart in front of you has stopped being a filter.
Alerts fire on a turn to bull, a turn to bear, or any change. Regime changes are rare by
construction; an alert that fires constantly is one you learn to ignore.
Open source. Read it, change it, take it apart. Indicator
Realized Price by Baal Hadad v2 (multi-source)Based on "Realized Price" by Baal Hadad (open-source, MPL 2.0).
The original relied on IntoTheBlock's MVRV feed, which stopped updating on August 15, 2025 and was marked as discontinued by PulseWire — the indicator froze. This version fixes that with a multi-source data cascade and adds self-diagnostics.
WHAT IT SHOWS
Realized Price is the average price at which each coin last moved on-chain — the market's aggregate on-chain cost basis. When spot price falls below realized price, the average holder is underwater; historically this marks capitulation zones and potential cycle bottoms. Multiples above it mark overheated zones.
Realized Price = Realized Cap / Circulating Supply
DATA SOURCES (NEW)
Realized Cap, by priority: Custom symbol → CoinMetrics RealCap (direct) → Custom MVRV → IntoTheBlock MVRV (derived as Market Cap / MVRV).
Circulating Supply: Custom → Glassnode → IntoTheBlock → Market Cap / Price (unbreakable fallback).
A source is considered dead if it hasn't updated for N days (default 7, configurable) — the script automatically switches to the next live one. You can also force a specific source or plug in your own symbols.
DIAGNOSTICS (NEW)
An on-chart table shows every feed's status (live / lagging / dead), its last value, date and age in days; the source currently in use is marked with ►. If all Realized Cap sources go silent, the table shows FROZEN and a "data stale" alert fires — instead of silently plotting a frozen line.
DISPLAY
- Realized Price smoothed by MA (default EMA 30 as in the original; SMA / WMA / RMA / HMA / HEMA selectable), optional raw line
- Lower bands: −30% / −50% / −70% (green, accumulation zones)
- Upper bands: ×2 / ×3 / ×4 / ×5 (red, distribution zones)
- Background highlight when price crosses a band; band and signal logic unchanged from the original
- Synthetic MVRV = Market Cap / Realized Cap in the Data Window — replaces the dead ITB feed
ALERTS
Buy zone, Sell zone, Data stale.
NOTES
The coin is detected automatically from the chart ticker, so it works on any coin covered by CoinMetrics / Glassnode — not just BTC / ETH / LTC. On-chain metrics are daily; use on the D timeframe or higher.
==================================================================================
Основано на "Realized Price" от Baal Hadad (открытый код, MPL 2.0).
Оригинал опирался на фид MVRV от IntoTheBlock, который перестал обновляться 15 августа 2025 и помечен PulseWire как discontinued — индикатор замер.
Эта версия решает проблему каскадом источников данных и добавляет самодиагностику.
ЧТО ПОКАЗЫВАЕТ
Realized Price (реализованная цена) — средняя цена, по которой каждая монета в последний раз двигалась в блокчейне, то есть совокупная ончейн-себестоимость рынка. Когда спотовая цена уходит ниже реализованной, средний держатель в убытке — исторически это зоны капитуляции и потенциального дна цикла. Кратные превышения — зоны перегрева.
Realized Price = Realized Cap / Circulating Supply
ИСТОЧНИКИ ДАННЫХ (НОВОЕ)
Realized Cap, по приоритету: Custom-символ → CoinMetrics RealCap (напрямую) → Custom MVRV → IntoTheBlock MVRV (расчёт как Market Cap / MVRV).
Circulating Supply: Custom → Glassnode → IntoTheBlock → Market Cap / Price (несгораемый фолбэк).
Источник считается мёртвым, если не обновлялся N дней (по умолчанию 7, настраивается) — скрипт автоматически переключается на следующий живой. Можно принудительно выбрать конкретный источник или подключить свои символы.
ДИАГНОСТИКА (НОВОЕ)
Таблица на графике показывает статус каждого фида (live / lagging / dead), последнее значение, дату и возраст в днях; активный источник помечен ►. Если все источники Realized Cap замолчали, таблица показывает FROZEN и срабатывает алерт "data stale" — вместо того чтобы молча рисовать замороженную линию.
ОТОБРАЖЕНИЕ
- Realized Price, сглаженная скользящей средней (по умолчанию EMA 30, как в оригинале; на выбор SMA / WMA / RMA / HMA / HEMA), опционально сырая линия
- Нижние полосы: −30% / −50% / −70% (зелёные, зоны накопления)
- Верхние полосы: ×2 / ×3 / ×4 / ×5 (красные, зоны распределения)
- Подсветка фона при пересечении полос; уровни полос и логика сигналов не менялись
- Синтетический MVRV = Market Cap / Realized Cap в окне данных (Data Window) — замена умершему фиду ITB
АЛЕРТЫ
Зона покупки, зона продажи, протухание данных (data stale).
ПРИМЕЧАНИЯ
Монета определяется автоматически из тикера графика, поэтому индикатор работает на любой монете с покрытием CoinMetrics / Glassnode — не только BTC / ETH / LTC. Ончейн-метрики дневные; использовать на таймфрейме D и выше. Indicator
Strong COT Report Dashboard | ProjectSyndicateStrong COT Report Dashboard takes the CFTC Commitments of Traders Legacy report and turns it into a live, side-by-side positioning matrix for up to 12 futures markets at once. Every Tuesday's release refreshes the whole grid with Non‑Commercial (large speculator) and Commercial (hedger) positioning, three COT indices, flip%, weekly OI change, a derived bias state, a synthesized scenario/outlook narrative, and an N‑week Flip% heat strip — all rendered in a compact Bloomberg amber terminal. The whole tool runs on one idea: raw NC net contracts mean nothing on their own — but when you can see 26‑week, 52‑week and 156‑week COT indices next to each other, the direction of last week's change, where OI is going, and how flip% has moved across the last eight weeks, positioning tells you exactly which end of the curve every market is at.
This is a positioning matrix, not a signal generator. It tells you which markets are stretched, which are turning, which are building fresh trend, and which are stuck in the middle — for equities, metals, energies, crypto, the dollar, and optionally FX crosses, softs and VIX, all on one screen.
🟢🔴 Summary how to use this more details below, read entire guide. Two clean reads: fade the extreme, or ride the build. Prefer markets tagged TOP RISK / BOTTOM SETUP for the fade, and markets tagged Building Long / Building Short with an aligned 52w index and OI expansion for the trend. The Scenario / Outlook column and the Flip% heat strip tell you at a glance whether positioning is at an inflection point or grinding in a regime. Runs on Daily or Weekly chart only.
⚠️ CHART TIMEFRAME — Weekly COT data is only accumulated on Daily or Weekly charts. Load this on any intraday chart and it will halt with a runtime error. Use Daily as the default; Weekly compresses the same view and works too.
🧱 CFTC Legacy — the only source of truth — Every row is pulled from the official CFTC Commitments of Traders Legacy report via PulseWire's LibraryCOT, one release per week, Tuesday for the prior Tuesday's snapshot. You choose Futures Only or Futures and Options at the top of the settings. Nothing here is estimated, projected or derived from price — the whole grid is real reported contracts.
📐 24-Market Universe · 12 Active at a Time — Twelve markets ship enabled by default: ES · NQ · YM · RTY · NKD · GC · SI · HG · CL · NG · BTC · DX. Twelve more sit hidden and ready: 6E · 6J · 6B · 6A · 6C · 6S · ETH · PL · ZW · ZC · ZS · VX.
⚠️ HARD 12-MARKET CAP — PulseWire caps the number of external data requests a script can make, and this dashboard uses five requests per market (OI + NC longs + NC shorts + Com longs + Com shorts). Twelve markets is the ceiling — any market you toggle on beyond that limit is silently skipped in list order.
▪️ To swap in a hidden market: first DISABLE at least one of the 12 default markets (e.g. turn off NKD or DX), then ENABLE the hidden one you want (e.g. 6E Euro FX or ETH Ether).
▪️ If you toggle on a hidden symbol and it doesn't appear on the dashboard, you're over the 12-market cap — go back and switch off one of the defaults first.
▪️ The two groups in settings are just organizational — the cap applies across both groups combined.
BTC / NQ / GC snapshot
🏷️ The Column Set — Every market gets its own row. Left to right:
▪️ Market — ticker + full name.
▪️ NC Net — Non‑Commercial net position in contracts (longs − shorts). The core large-spec read.
▪️ ΔNet W — change in NC net vs the prior COT week. This is the momentum column.
▪️ L% / S% — NC longs and shorts as % of open interest. Concentration read.
▪️ Flip% — NC Long% − Short%. Positive = specs net long, negative = specs net short. The regime tag.
▪️ Ix26 / Ix52 / Ix3Y — COT stochastic indices of NC net over 26, 52 and 156 weeks. 0 = most short in the window, 100 = most long. Ix52 is the year-context read; Ix3Y is the cycle read.
▪️ Com Net / CIx52 (optional) — Commercial net and its 52-week index. Hedgers usually sit opposite the specs — when they don't, that's a signal.
▪️ ΔOI% — weekly open interest change. Rising OI + rising net = real build; falling OI + rising net = short-covering, not conviction.
▪️ Bias — one-word positioning state: TOP RISK, BOTTOM SETUP, Building Long, Building Short, or a neutral trend tag. Colored by conviction.
▪️ Scenario / Outlook — a synthesized read that fuses extremes, streaks, regime flips, OI mechanics and cycle divergence into one line. HOVER the cell for the full narrative.
◆ Flip% Heat Strip — the signature panel — Set the strip to N weeks (up to 12) and every row gains N extra cells — one per prior COT week — heat-mapped on an amber/red axis around zero. Positive flip% (specs net long) burns amber; negative (specs net short) burns red; intensity scales to the flip scale you set. Read left to right along a row and you see the last 2-3 months of positioning at a glance:
▪️ A row that goes red → red → red → dim → amber → amber has just flipped regime from net-short to net-long.
▪️ A row that stays deep amber for 8 weeks is a crowded long — the fade candidate.
▪️ A row of soft mixed colors is regime chop — leave it alone.
XAU / DX / SI snapshot
🔥 The Bias Engine — Every row is auto-graded into a positioning state:
▪️ TOP RISK — 52w NC index at an extreme high and specs crowded long. The fade candidate.
▪️ BOTTOM SETUP — 52w NC index at an extreme low and specs crowded short. The mean-reversion setup.
▪️ Building Long / Building Short — indices are trending in one direction with OI expansion. The ride-the-build read.
▪️ Neutral trend tags — for markets sitting mid-range without directional conviction.
TOP RISK burns red, BOTTOM SETUP burns amber-hot, builds burn steady amber, neutral goes dim. You are reading the state of every market with your peripheral vision before you read a single number.
📋 Bloomberg Amber Terminal — Pure black background, amber-gradient text, alternating row shading, monospaced font, thin dark-amber frame, muted header row. Numeric coloring is gradient-driven — COT indices burn hotter at extremes, signed values shift from amber to red as they turn negative, flip% cells run their own heat map. Weekly release dates render in a compact format so the whole grid stays scannable.
🔔 Native Alerts — Alert on 52w COT Index Extremes fires once per new COT week when any market's NC 52w index crosses into the ≥80 zone (spec long extreme) or ≤20 zone (spec short extreme). One alert covers every enabled market — you get a message with the ticker, the direction and the index level. Enable it once and the dashboard tells you when a positioning inflection has actually printed, not before.
ES / CL / RTY snapshot
🔧 Fully Customizable — 12+12 market toggles, Futures Only vs Futures and Options source, max weekly history stored, dashboard position/size, text size, top offset padding, Commercial columns on/off, Flip% heat strip length 0-12 and its scale, alert toggle, and the entire Bloomberg amber palette flows automatically from the theme — nothing to fight with.
🎯 Why this is different — Most COT tools give you one market on a subchart with a couple of moving averages, or a wall of numbers with no visual weighting. This one pulls 12 markets into a single grid, indexes each of them across three timescales, tags the state, writes an outlook line, and heat-strips the last 8-12 weeks of flip% into a row you can read horizontally. The chart itself does the filtering — you see instantly which two or three markets deserve deeper work this week.
🚀 Apply on a Daily or Weekly chart of any symbol — the dashboard is independent of the chart symbol, so load it on your favorite index or continuous futures contract and it will fill regardless.
🎯 How To Trade It — Two Approaches
Everything hinges on the bias state and the index columns. Raw NC Net alone is noise; a market tagged TOP RISK with Ix52 ≥ 80 and 6 straight amber weeks in the heat strip is where the real information sits.
◾ 1 FADE THE EXTREME — trade the reversion
This is the classic COT read. Specs are crowded to one side, indices are pinned near an extreme, and the Bias column has flagged it.
▪️ Setup: a market tagged TOP RISK or BOTTOM SETUP, with Ix52 ≥ 80 or ≤ 20, and the Flip% heat strip showing several consecutive weeks in the same regime (crowd conviction). CIx52 pointing opposite (commercials leaning the other way) strengthens the read.
▪️ Trigger: this dashboard is not the trigger. Go to the chart of that market and wait for your own reversal confirmation — price rejection, structure break, momentum divergence.
▪️ Stop: beyond the most recent swing that made the extreme.
▪️ Targets: mean-reversion targets — the 52w index moving back through 50, or price returning to a mid-range value area.
⚖️ The cleanest version: NC Ix52 ≥ 85, Com Ix52 ≤ 15 (they disagree hard), Flip% has been extreme for 6+ weeks in the heat strip, and ΔNet W just printed its first meaningful flip against the trend. That's a positioning exhaustion signal.
◾ 2 RIDE THE BUILD — trade with the trend
The mirror case, and the one that matters when nothing is extreme yet.
▪️ Setup: a market tagged Building Long or Building Short. NC net is trending, ΔNet W has been consistently positive (or negative), ΔOI% is expanding (real money coming in, not short-covering), and the Flip% heat strip shows a clean color gradient in one direction.
▪️ Trigger: enter on your chart in the direction of the build on any of your own continuation setups.
▪️ Stop: on a decisive break of the ongoing structure.
▪️ Targets: run it until the Bias column flips to TOP RISK / BOTTOM SETUP — that is your exit warning. Positioning has become the trade instead of driving it.
⚖️ Watch ΔOI%. A build with rising OI is a real institutional position; a build with falling OI is specs chasing an old move — those don't last.
Rule of thumb: ⭐ Market tagged TOP RISK / BOTTOM SETUP with an extreme Ix52 → prepare to fade on price confirmation. ⭐ Market tagged Building X with expanding OI and a clean heat strip → trade continuation with the build. ⭐ Anything mid-range, no color in the heat strip, neutral bias → no trade, look elsewhere.
⚠️ IMPORTANT NOTICE: Strong COT Report Dashboard renders CFTC Legacy COT data and derives descriptive positioning states from it. The Bias column, the Scenario / Outlook narrative and the 0-100 COT indices are descriptive conviction readouts built from reported positioning — they are not backtested win-rates, and this indicator tracks no trade outcomes and reports no performance statistics. COT data is released weekly with a Tuesday-for-Tuesday delay, so the dashboard is a structural read, not a real-time signal. This is decision support, not a standalone trade trigger. Always combine it with your own strategy, price-action confirmation and risk management. Past positioning does not guarantee future results. Indicator
Bitcoin Almanac [WillyAlgoTrader]₿ Bitcoin Almanac is an overlay indicator that maps the entire Bitcoin macro landscape on one chart: a fixed-length cycle time model (bull/bear phases projected from a single anchor date), two hyperbolic curves fitted through historical cycle lows and cycle highs in log-price space, Fibonacci grids stretched between every macro pivot, halving markers, accumulation and distribution zones, and a hypothetical price path for the next bull leg — all summarized in a live dashboard with projected turn dates, curve prices, and historical correction depths.
The core insight: Bitcoin's completed cycles show a remarkably stable time rhythm (roughly 1064 days up, 364 days down) and a decelerating growth pattern that a hyperbola in log10(price) captures with surprisingly small error. Neither observation is a law of nature — but when the time model and the price curves are combined on one chart, they produce concrete, falsifiable reference points: a projected top date with a curve price, a projected bottom date with a curve price, and buy/sell zones derived from both. The indicator makes the whole framework explicit, configurable, and honest about its assumptions.
Everything is driven by dates and user-defined pivots — not by real-time price action — so nothing repaints: the lines you see today are the lines you saw yesterday.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A cycle-date model alone answers WHEN but not AT WHAT PRICE. A curve through historical lows answers WHERE support migrates but not WHEN price will meet it. Fibonacci retracements answer WHERE pullbacks tend to end, but only if you know which macro leg to anchor them to. Used separately, each tool leaves you guessing at the missing dimension.
Bitcoin Almanac chains them into one pipeline:
Cycle time model (anchor + phase lengths) → projected turn dates → hyperbolic lows/highs curves → curve price AT each projected date → Fibonacci grids between macro pivots → 0.786–0.836 accumulation zones bounded by cycle end dates → ±% distribution zones around each high → replayed bull-path projection between the two curve endpoints → dashboard synthesis
The time model supplies the X-coordinate of every future event. The two hyperbolas supply the Y-coordinate: the lows curve is evaluated exactly at the projected bottom date, the highs curve exactly at the projected top date — the "◎ cycle × curve" labels mark these intersections with date and price. The Fibonacci grids are then anchored to the same pivots the curves are built from, so the 0.786–0.836 buy zone of the current leg stretches in time precisely to the model's next cycle-bottom date. Finally, the projection module takes the two curve × date intersections as endpoints and fills the path between them by replaying the shape of the previous bull phase in log space.
No single component can do this: the intersection of an independent time model with an independent price model is what turns two vague trajectories into specific, checkable coordinates.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Fixed-rhythm cycle engine — pure time math, zero price input.
The phase of any bar is computed directly from calendar time:
daysSince = (barTime − anchor) / 86 400 000
phasePos = daysSince mod (bullDays + bearDays)
isBull = phasePos < bullDays
Defaults: anchor = 07 Nov 2022, bullDays = 1064, bearDays = 364 (each ≈ the average of the three completed BTC cycles). A true mathematical modulo (always ≥ 0) phases bars BEFORE the anchor correctly, so past cycles line up too. With defaults this reproduces the well-known projected dates: top ≈ 06 Oct 2025, bottom ≈ 05 Oct 2026. An alternative anchor (21 Nov 2022 — the actual lowest trade of the cycle) is documented right in the input tooltip and shifts the bottom to 19 Oct 2026.
Why this matters: because the phase depends only on time, the bull/bear background, turn lines and flip alerts are deterministic and cannot repaint — the model's claims are fully falsifiable in advance.
2️⃣ Hyperbolic curve through cycle lows — exact geometry or least-squares fit, with the error printed on the chart.
The lows model is log10(price) = a + b / (c − t), where t is days from the first pivot. The hyperbola has a vertical asymptote in the past and a horizontal asymptote in the future — it encodes decelerating growth, which a straight log-regression line cannot.
— With exactly 3 enabled lows (default: Aug 2015 ≈ $169, Dec 2018 ≈ $3 122, Nov 2022 ≈ $15 476) the three parameters are solved exactly — the curve passes through the pivots by construction. This is geometry, not statistics, and the label says so: "exact through 3 lows".
— With 4+ enabled lows (three optional early-history slots: 2011, 2013, 2015 are provided) the indicator switches to a least-squares fit: a coarse log-spaced search over 250 candidate asymptote positions, followed by a 200-step linear refinement around the best candidate. The curve label then reports the number of points and the RMSE in log10 units — the fit quality is never hidden.
A fit is accepted only if b > 0 and the asymptote c lies before the earliest pivot — degenerate solutions are rejected and the curve simply doesn't draw.
3️⃣ Second independent hyperbola through cycle highs.
The same model is fitted to cycle tops (defaults: Nov 2013 ≈ $1 238, Dec 2017 ≈ $19 700, Nov 2021 ≈ $69 000, Oct 2025 ≈ $126 200 — four points, so LS fit with visible RMSE). A fifth, disabled slot exists only if you want to force the fit through your own future target; you never need it for the projection, because the future top is marked automatically at the crossing of the highs curve with the projected top date.
Why two curves: lows and highs decelerate at different rates. Fitting them independently (instead of offsetting one curve) lets the model express a narrowing channel without assuming its shape.
4️⃣ "Cycle × curve" intersection labels — the model's testable predictions.
At the projected bottom date the lows curve is evaluated: ◎ label with date ≈ price. At the projected top date the highs curve is evaluated: ◎ label with date ≈ price. These two points are the indicator's headline output — a date AND a price for each future turn, derived from two independent models. Both curves extend beyond their intersection as dashed lines (lows: default 10 years, highs: 5 years) to show the long-term trajectory.
5️⃣ Macro Fibonacci grids with a time-bounded 0.786–0.836 accumulation zone.
All enabled lows and highs are merged chronologically; every leg between two pivots of opposite type receives a grid (low→high = bull grid, high→low = bear grid; same-type neighbours are skipped). Levels are fully user-defined (default: 0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1; values > 1 add extensions).
Two non-standard options:
— Log-scale interpolation : level price = 10^(log10(pA) + f × (log10(pB) − log10(pA))) — matches a fib tool drawn on a log chart. Off by default (arithmetic levels for a linear chart).
— Reverse mode (default ON): ratio 0 sits at the END of the leg, so on a bull leg 0.618 is the classic retracement below the high.
The 0.786–0.836 zone of each bull leg is highlighted as a "BUY ZONE" box — and here is the original part: the box stretches in time from the leg start to the end date of the cycle the leg belongs to (the next projected cycle bottom). Depth from the fib model, deadline from the time model — the zone is a rectangle in (price × time), not just a price band.
6️⃣ Distribution zones tied to the cycle skeleton.
Every enabled high gets a "SELL ZONE" box spanning high ± sellPct (default 5% → from high × 0.95 to high × 1.05). The time span runs from the LATER of (a) the latest enabled low before that high or (b) the model's cycle bottom immediately preceding it — so a projected 2029 high starts its zone at the projected Oct-2026 bottom, not at a 2022 pivot. If no enabled high exists in the upcoming cycle, a projected sell zone is created automatically at the highs-curve × projected-date crossing (duplicate-guarded within half a cycle).
7️⃣ Bull-path projection — fractal replay of the previous bull, rescaled in log space.
The path for the NEXT bull phase (with defaults: 05 Oct 2026 → 03 Sep 2029) is drawn between two model-derived endpoints: start = lows curve at the projected bottom, end = highs curve at the following projected top. Two shapes:
— Replay last bull (default): the log-price trajectory of the previous bull phase is recorded bar by bar (confirmed bars only, thinned to ≤ 400 samples for memory safety on intraday timeframes), then linearly rescaled: y(progress) = yStart + (ref(progress) − ref(0)) × (yEnd − yStart) / (ref(1) − ref(0)). The result keeps the timing character of the last cycle — early acceleration, mid-cycle chop, late blow-off — mapped onto the new endpoints.
— Log-linear : a straight line on a log chart between the endpoints. The replay mode automatically falls back to log-linear if the reference phase covers less than 90% of the bull duration.
The path is explicitly labeled "◇ PROJECTED PATH (hypothetical)" — it is a scenario generator, not a forecast.
8️⃣ Corrections table — every macro drawdown since 2014, including the unfinished one.
The dashboard lists every completed high → following-low leg between enabled pivots since 2014 as a % drop (e.g. 2017–2018: −84%). If the latest pivot is a high with no low after it, the current correction is projected : measured from that high to the lows-curve price at the next model bottom, and marked "(proj.)" in accent color. You always see how the ongoing decline compares with history.
9️⃣ Full-transparency dashboard with a phase gauge and next-leg scenario PNL.
Four toggleable sections: Cycle (phase, day X / Y, ██████░░░░ progress gauge), Projection (top and bottom dates with days-left counters and curve prices, plus the hypothetical PNL of the next bull leg: (topCurve / bottomCurve − 1) × 100% and the × multiple), Corrections (see 8️⃣), Ranges (nearest upcoming buy range = the 0.786–0.836 zone prices; nearest sell range = the ±% zone around the next projected high). The footer states the calibration chart (INDEX:BTCUSD · W · linear scale, with a live ✓ when you're on it), a timeframe warning, and the sample-size caveat "⚠ Sample size: 3 cycles" — the model's biggest limitation is printed on the chart itself.
🔟 Efficient, tick-stable rendering.
All drawings (500+ polyline points, fib grids, boxes, dashboard) are anchored to bar-open times and first-bar curve fits — nothing changes within a bar. A redraw gate rebuilds them once per new bar instead of on every real-time tick, and both curve fits run exactly once on the first bar. The chart stays responsive even with all modules enabled.
📐 HOW IT WORKS — CALCULATION FLOW
Step 1 — Parse pivots: on the first bar, all enabled lows and highs are converted to (days-from-first-pivot, log10(price)) pairs.
Step 2 — Fit the curves: each set is fitted to log10(price) = a + b/(c − t) — exact solve for 3 points, two-stage least-squares search for 4+. Fit validity is checked (b > 0, asymptote before the data).
Step 3 — Phase every bar: calendar-time modulo against the anchor determines bull/bear phase, day-in-phase, and the timestamps of the current, next bottom and next top.
Step 4 — Evaluate intersections: the lows curve at the projected bottom date and the highs curve at the projected top date become the model's price targets.
Step 5 — Record the reference bull: during the anchor cycle's bull phase, confirmed closes are stored as (progress, log10 price) — the shape later replayed by the projection.
Step 6 — Draw (once per bar): turn lines and labels for N past and M future cycles, both hyperbolas with dashed extensions, fib grids per alternating pivot leg, buy/sell zone boxes, halving lines (2012 / 2016 / 2020 / 2024 solid, Apr 2028 dashed "(est.)"), the projected path, the dashboard and the watermark.
Step 7 — Alert: on confirmed bars, phase flips and the pre-turn countdown fire alert() calls in text or JSON format.
📖 HOW TO USE
🎯 Quick start:
1. Open the INDEX:BTCUSD chart, Weekly timeframe, regular (linear) price scale — the model is calibrated there, and the dashboard shows a ✓ when the symbol and timeframe match (the scale must be checked manually — Pine cannot detect it).
2. Add the indicator. The green/red background immediately shows the model's current phase; the dashboard shows the day count and progress gauge.
3. Find the two ◎ labels — the projected bottom (orange, lows curve) and the projected top (red, highs curve). These are the model's date + price coordinates for the next turns.
4. Check the yellow boxes: BUY ZONE (0.786–0.836 of the current bull leg, extended to the cycle end date) and SELL ZONE (±5% around each high).
5. Create ONE alert with condition "Any alert() function call" to receive flips and the pre-turn countdown.
👁️ Reading the chart:
— 🟢 Green background = model bull phase; 🔴 red = bear phase
— Solid green verticals = cycle bottoms; dashed red verticals = cycle tops; future turns are labeled ★ PROJECTED and drawn brighter
— 🟠 Orange curve = hyperbola through cycle lows (solid to the projected bottom, then dashed extension)
— 🔴 Red curve = hyperbola through cycle highs (solid to the projected top, then dashed extension)
— Small circles = the exact pivots each curve is built from
— ◎ labels = cycle × curve intersections with date, ≈ price, and fit info (point count + RMSE, or "exact through 3")
— Fib grids between macro pivots: solid edges (0 / 1), dashed 0.5, dotted intermediate levels, price + ratio labels on the right
— 🟡 Yellow boxes = BUY ZONE (0.786–0.836, time-bounded by the cycle end) and SELL ZONE (±% around highs; "(proj.)" = auto-generated at the projected top)
— ⛏ Grey verticals = halvings; the 2028 line is dashed and marked "(est.)"
— 🔵 Blue dashed path = hypothetical next-bull trajectory with its ◇ end label
📊 Dashboard fields:
— Phase / Phase day / Progress : current model phase, day within it, and a 10-segment gauge
— Proj. top / Proj. bottom : projected turn dates, days remaining, and the curve price at each date
— Next leg PNL : hypothetical bottom→top move of the next bull leg in % and as a × multiple — a scenario, not a forecast
— Corrections : every completed macro drawdown since 2014 (high → following low, %), plus the unfinished one projected to the curve bottom and marked (proj.)
— Next buy range / Next sell range : the price boundaries of the nearest upcoming accumulation and distribution zones
— Footer: recommended chart check, timeframe warning, sample-size caveat, version
🔧 Tuning guide:
— Curve doesn't draw: fewer than 3 pivots enabled, or the fit was rejected as degenerate — enable at least 3 lows (or highs) with sensible dates/prices.
— You disagree with a pivot price: every pivot is an editable date + price input — correct it and both the curve and the fib grids rebuild instantly.
— Want dates matching the actual price low: switch the anchor to 21 Nov 2022 (documented in the tooltip); the projected bottom moves to 19 Oct 2026.
— Fib levels look wrong on a log chart: enable "Log-scale levels" (keep it OFF on the recommended linear chart).
— Chart feels crowded: disable individual modules (grids, zones, halvings, projection) or dashboard sections — every block has its own switch.
— Curious about 2030+: enable "Show 2nd projected cycle" for one more bottom/top pair (~Sep 2030 / ~Aug 2033) — off by default because those dates carry double model uncertainty.
💡 Trading ideas:
— Accumulation planning : scale into the 0.786–0.836 BUY ZONE while the model is in its bear phase; the zone's right edge tells you the model's deadline.
— Distribution planning : scale out inside the ±5% SELL ZONE as the projected top date approaches; the pre-alert (default 30 days) gives you a heads-up.
— Scenario testing : move pivots, change phase lengths, or force High #5 to your own target and watch how the whole framework (curves, zones, PNL) responds — the model is a sandbox, not an oracle.
⚙️ KEY SETTINGS
⚙️ Cycle Model:
— Anchor — cycle bottom (default 07 Nov 2022): date all phases are projected from; alternative 21 Nov 2022 documented in the tooltip
— Bull phase length (default 1064 days) / Bear phase length (default 364 days): ≈ averages of the 3 completed cycles
— Cycles to draw back (default 3) / forward (default 1): how many turn lines and labels are drawn
— Show 2nd projected cycle (default off): one extra bottom/top pair with doubled uncertainty
🎨 Visual Settings:
— Theme (Auto / Dark / Light): Auto detects from the chart background; all text colors adapt
— Phase background , Cycle turn lines , Turn labels , Watermark : independent toggles with color inputs
📊 Dashboard:
— Position (4 corners), font size (Small–Huge; dividers render one step smaller), and per-section switches: Cycle / Projection / Corrections / Ranges
📈 Hyperbola — Lows:
— 3 main cycle lows (2015 / 2018 / 2022, on by default) + 3 optional early-history lows (2011 / 2013 / 2015) — each is a checkbox + date + price
— Dashed extension (default 10 years), curve color, anchor-point markers
📉 Hyperbola — Highs:
— 4 cycle highs (2013 / 2017 / 2021 / 2025, on by default) + a spare projected slot (off), extension (default 5 years), curve color
🔢 Fibonacci Grids:
— Bull grids (default on) / Bear grids (default off) with separate colors
— Levels (default "0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1"; values > 1 = extensions)
— Highlight 0.786–0.836 zone (default on), Log-scale levels (default off), Reverse (default on), level labels
⛏ Halvings: lines + labels toggles, color
🟡 Sell Zones: toggle, color, Zone size % from high (default 5%)
🔮 Price Projection: toggle, Path shape (Replay last bull / Log-linear), color
🔔 Alerts: master switch, Webhook JSON Format (default off), Pre-alert days (default 30)
🔔 ALERTS
— 🟢 CYCLE FLIP → BULL — model bottom date reached; payload: ticker, timeframe, price, next projected top date
— 🔴 CYCLE FLIP → BEAR — model top date reached; payload: ticker, timeframe, price, next projected bottom date
— ⏳ CYCLE TURN APPROACHING — fires once, N days (default 30) before the next projected turn; payload: turn type (TOP/BOTTOM), days left, date
All alerts fire on confirmed bars only (once per bar close) and support both human-readable text and JSON webhook payloads for bot integration. Create a single alert with condition "Any alert() function call".
⚠️ IMPORTANT NOTES
— 🚫 No repainting. The cycle phase is pure calendar-time math against a fixed anchor; the curves are fitted once from user-defined historical pivots; the reference bull shape is recorded from confirmed bars only; all alerts use bar-close frequency. Nothing in the model reads unconfirmed real-time data, so no line, zone or label moves after the fact.
— 📐 Sample size: 3 completed cycles. Every statistical claim in this model rests on three observations. The hyperbolic fits are geometry/regression over 3–6 points. Treat all projected dates and prices as reference scenarios with wide error bars — the dashboard says "Rhythm ≠ law" for a reason.
— 📏 Calibrated chart: INDEX:BTCUSD, Weekly, regular (linear) price scale. Exchange charts start later and distort early-history fits. Keep the fib "Log-scale levels" input OFF on a linear chart. The dashboard's ✓ confirms symbol and timeframe; the scale must be checked manually.
— ⚖️ Scope: this is a macro-cycle framework for Bitcoin. It produces no intraday entry signals, no stop placement, and no position sizing. The projected path is explicitly hypothetical.
— 🛠️ This is a cycle-analysis and scenario-visualization tool, not an automated trading bot. It provides projected turn dates, curve-based price references, and accumulation/distribution zones — trade decisions remain yours.
— 🌐 The script runs on any symbol and timeframe, but the model is designed for Bitcoin on Daily/Weekly charts — a dashboard warning appears on intraday timeframes.
Bitcoin Almanac · v1.5.2 Indicator
Bitcoin Halving Cycle Strategy [Gabremoku]This script is a Bitcoin cycle timing indicator built around the historical halving structure.
The core idea is simple:
- define a Buy window a fixed number of days before each halving,
- define a Sell window a fixed number of days after each halving,
- project the next key dates directly on the chart.
The indicator does not try to predict price with oscillators, momentum formulas, or future-looking data. Instead, it focuses on a structural market rhythm that many Bitcoin traders monitor: the recurring supply shock created by halvings.
How it works
- The script uses known historical Bitcoin halving dates.
- It calculates a Buy date at halving minus N days.
- It calculates a Sell date at halving plus N days.
- It draws vertical reference lines for Buy, Halving, and Sell events.
- It plots historical labels on the actual event bars.
- It projects the upcoming Buy, Sell, and Halving labels forward to their own future dates on the chart.
- A dashboard summarizes the active cycle, next key date, and remaining days.
What makes this script useful
Most halving tools only mark the halving date itself. This script expands the concept into a complete cycle timeline by transforming each halving into three practical timing landmarks:
1. accumulation window before halving,
2. halving anchor point,
3. distribution window after halving.
This makes the script more useful for traders and investors who want a visual cycle map instead of a single event marker.
How to use it
- Apply it on BTCUSD or BTCUSDT.
- Daily and weekly charts are the most readable timeframes for this model.
- Use "Buy Days Before Halving" to control how early the accumulation window begins.
- Use "Sell Days After Halving" to control how long the post-halving window extends.
- Use the projected labels to monitor the next cycle dates in advance.
- Use the dashboard to read the current phase quickly.
Included features
- Historical halving timeline
- Buy and Sell event mapping
- Future projected labels positioned on future dates
- Optional cycle range highlighting
- Dashboard with next Buy, next Sell, next Halving, and countdown
- Custom colors and label controls
Important notes
- This script is a cycle visualization tool, not financial advice.
- It does not guarantee future market behavior.
- The projected future halving date is used as a timeline estimate for planning and visualization only.
- Past cycle behavior does not guarantee similar future performance.
- For clarity and to avoid misleading output, this script should be used on standard candlestick charts.
This publication is intended to provide a clean and practical timing framework for Bitcoin traders who study halving-driven market cycles rather than signal-based entry systems. Indicator
BEDROCK Gated Macro Spot Cycle ModelBEDROCK condenses several independent long-term Bitcoin valuation models into a single transparent 0–100 score, then maps that score onto a seven-tier ladder running from deep value to cycle-top risk — with capitulation and euphoria gates that hold back the two most common false signals at each extreme. It is built for spot investors making multi-month and multi-year allocation decisions, not for short-term trading.
The reference card below shows how to read the model and how each tier behaves:
█ WHAT IT DOES
BEDROCK answers one question: where does price sit inside its macro cycle right now? Rather than a single oscillator, it scores a basket of slow-moving valuation measures, normalizes each to a common 0–100 "cheap → expensive" scale, blends them into a weighted composite, and classifies the result into an actionable tier with a suggested accumulation or distribution size. A higher composite means greater long-term value and lower risk; a lower composite means the market is stretched and risk is rising.
█ HOW IT WORKS
The composite is built from four independent blocs, any of which can be reweighted or disabled:
Trailing cost-basis bloc — price relative to the 200-week SMA, the 2-year SMA, and the 200-day SMA (Mayer Multiple). These three are deliberately collapsed into a single averaged, bounded factor so the moving-average family is represented once and cannot dominate the score through collinearity.
Drawdown from all-time high — how far price has fallen from its peak. The heaviest-weighted leg by default.
Weekly RSI — long-term momentum, as secondary confirmation.
MVRV Z-Score (optional) — an on-chain valuation leg you can enable and feed from an external source.
Each metric is mapped to 0–100 through its own linear calibration between a deep-value anchor and an expensive anchor, so every leg speaks the same language before being combined. Weights are auto-renormalized over whatever blocs are actually available — so the model stays coherent on early history where the 200-week isn't yet populated, or when MVRV is turned off. It simply reweights the parts it has.
█ THE TWO GATES — THE CORE IDEA
A raw valuation score has two classic failure modes: it screams "generational buy" on the first leg down of a bear market, and it screams "top" every time price gets mildly extended. BEDROCK addresses both with directional gates that only ever cap the tier toward the middle — they never fabricate a signal, and they never block the core accumulate or trim reads.
Capitulation gate (bottom) — the two deepest tiers stay locked until the market shows genuine capitulation. Generational requires a large drawdown from the all-time high (or a deeply negative MVRV-Z); Deep Accumulation requires price at or below its 200-week basis. Until then the score is capped at Accumulation, so you keep buying value without prematurely committing everything.
Euphoria gate (top) — the two riskiest tiers stay locked until multiple independent overheating signs agree across the 200-week multiple, weekly RSI, the Mayer Multiple, and MVRV-Z. Euphoria requires at least one confirmation; Cycle Top requires at least two. This is what stops the model from calling a top on every rally.
Because both gates only cap toward neutral, accumulation signals are never suppressed and trim signals are never suppressed. The gates restrain only the extreme calls, and only until the evidence is actually there.
█ READING THE INDICATOR
Composite line — the 0–100 score, colored by its current tier.
Background — shaded by tier for at-a-glance cycle context.
Threshold lines — the tier boundaries.
Markers — gated triangles mark transitions into accumulation tiers (up) and distribution tiers (down).
Data table — live composite, current tier, suggested action, both gate states, and every underlying metric (200W and 2Y multiples, Mayer, drawdown, weekly RSI, MVRV).
█ THE SEVEN TIERS
Generational Value — extremely rare deep value; aggressive accumulation.
Deep Accumulation — excellent value; size up.
Accumulation — good value; keep building.
Neutral / Hold — fairly valued; hold.
Expensive / Trim — above fair value; begin scaling out.
Euphoria / Distribute — high risk; distribute and protect profit.
Cycle Top / Exit — extreme; high-probability macro top.
Each tier also outputs a suggested DCA-in or trim-out multiplier, so the signal is sized rather than binary.
█ HOW TO USE IT
Use it on Bitcoin spot or index charts such as BITSTAMP:BTCUSD or $BINANCE:BTCUSDT.
Weekly is the primary timeframe; daily works as a secondary view.
Accumulate through tiers 1–3, hold in tier 4, scale down in tiers 5–6, and treat tier 7 as exit territory.
Built-in alerts fire on entry into each accumulation and distribution tier (gated).
█ WHAT MAKES IT ORIGINAL
BEDROCK is not a single valuation ratio dressed up as an oscillator. The combination is the point: a transparent additive composite over independent metrics, a deliberate collinearity fix that collapses the moving-average family into one bounded bloc, a dual directional-gate system that suppresses the two most common false signals at both extremes without ever blocking the core reads, and sized accumulate/trim output instead of a bare number. Every metric, weight, calibration anchor, and gate threshold is exposed as an input, so the entire model is auditable and tunable — nothing is hidden.
█ NOTES & LIMITATIONS
BEDROCK is a long-horizon valuation tool, not a precise top/bottom timer and not a short-term trading system. It is designed to keep you positioned in the statistically favorable portion of the cycle, not to nail exact turns. Several display themes are included. This script is for educational purposes only and is not financial advice — size your own risk and do your own research. Indicator
Crypto: Fear & Greed Index [invincible3]Crypto: Fear & Greed Index
Crypto: Fear & Greed Index is a multi-factor sentiment oscillator designed to estimate crypto market risk appetite directly inside PulseWire. Instead of relying on a single RSI or momentum reading, this indicator combines several market proxies into one smoothed 0–100 sentiment index.
The model uses price momentum, volatility behavior, RSI strength, volume pressure, range position, crypto breadth, stablecoin dominance, TOTAL market trend, and BTC dominance context. These factors are auto-normalized into a composite Fear & Greed score.
The oscillator is divided into clear sentiment zones:
0–25: Extreme Fear
25–45: Fear
45–55: Neutral
55–75: Greed
75–100: Extreme Greed
The indicator also includes a market-regime layer to classify conditions as Bull / Risk-On, Bear / Risk-Off, or Mixed / Transition. This helps traders avoid interpreting fear and greed in isolation.
Key features:
• Multi-factor crypto sentiment model
• Auto-normalized Fear & Greed score
• Adaptive dark/light chart colors
• Risk-on / risk-off regime detection
• Crypto breadth using major market symbols
• Stablecoin dominance and BTC dominance context
• TOTAL and TOTAL2 market trend integration
• Fear, Neutral, and Greed oscillator zones
• Dashboard with index value, regime, bias, factor scores, and weights
• Visual Fear-to-Greed meter
• Accumulation, Risk, Trend, and Trim context markers
• Regular bullish and bearish divergence detection
• Divergence plotted on both price chart and oscillator
• Alerts for major sentiment transitions and divergence signals
How to interpret:
Extreme Fear does not automatically mean buy. In a bear regime, fear can continue and price may keep falling. Extreme Fear becomes more useful when the broader regime is improving or when bullish divergence appears.
Extreme Greed does not automatically mean sell. In a strong bull regime, greed can support continuation. However, extreme greed with fading momentum may indicate crowding risk, where trimming or reducing exposure may be considered.
The indicator works best as a sentiment and risk-context tool, not as a standalone buy/sell system. It should be combined with price structure, support and resistance, volume, trend filters, and risk management.
This indicator is designed primarily for crypto markets. It can be applied to BTC, ETH, altcoins, and other crypto symbols. BTC is not the only supported asset; BTC is used as one part of the broader market-context model.
Disclaimer:
This script is for educational and analytical purposes only. It does not provide financial advice. Always use proper risk management and confirm signals with your own trading plan.
Indicator
Strong Breakout Signals | ProjectSyndicateStrong Breakout Signals catches high-probability trend breakouts the moment a genuinely tested level gives way — and instead of treating every poke past a line as a breakout, it confirms each one with two independent engines and ranks it 0–10 with a star score. A clustered support/resistance wall that price has touched several times, or a clean break of market structure BOS / CHoCH, has to break with real momentum before a signal arms. Every setup gets a structural stop beyond the broken zone and fixed R-based targets, and is tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Dual-Engine Hybrid Breakout Core — the core idea. Two confirmation engines run in parallel. Engine A Clustered-Zone Break only fires when price breaks through a real support/resistance wall built from several pivots stacked at the same level — a level the market has actually respected, not an arbitrary line. Engine B Market-Structure Break tracks the most recent swing high/low and tags the break as BOS break of structure — a continuation or CHoCH change of character — where the break flips the prior direction. When both engines agree on the same bar, the setup earns a confluence bonus. Signals are evaluated on the bar's close and are fixed once that bar closes — historical signals do not repaint the tested-zone pivots confirm after the pivot lookback, an inherent property of pivot detection.
📈 Tested-Zone & Structure Mapping — a pivot engine continuously maps recent swing highs and lows, then groups nearby pivots into banded zones. The more times a level has been tested, and the older the wall, the more significant its break — both feed directly into the strength score. You choose how many touches a level needs to qualify and whether breaks confirm on the candle close stricter or the wick earlier.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the broken zone with an ATR buffer the resistance that just broke becomes the new support, or vice-versa, then capped and floored so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples TP1 defaults to a full 1R — a real first target, not a clipped one. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled green TP / red SL zone boxes, with a result label on exit.
🎚️ Zone-Conviction Controls — two inputs set how established a level must be before its break counts: Minimum Pivot Tests how many touches build the wall and Minimum Strength the 0–10 gate. Tighten them for fewer, higher-quality breakouts; loosen them for more frequent signals. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend breakouts, keeping you on the dominant side of the market longs only above it, shorts only below. The higher-timeframe value is read without lookahead. A signal cooldown spaces out entries so a single impulsive move doesn't stack multiple tickets.
⭐ 0–10 Setup-Quality Score — every breakout is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across zone quality number of tests, zone age, breakout-candle body, range expansion ATR, volume confirmation, momentum alignment, clean-break distance, RSI agreement, two-engine confluence, and HTF alignment. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a breakout is, not a guaranteed outcome. A Minimum Strength / Only Strong gate lets you display and alert on stronger setups only, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: current status and the active trade, the last signal with its BOS / CHoCH tag and score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — four color themes, a breakout zone whose shading grows more opaque the stronger the score so quality reads at a glance, opaque labels anchored clear of price for unobstructed reading, and a compact level ticket that stays attached to each trade and snaps to the exit bar when it closes. A Max Zone Width control caps how far the SL / TP / Entry zones extend to the right, so long trades never stretch into oversized towers across the chart.
🔔 Detailed Alerts — fires on strong long / short breakouts, plus partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: pivot period and zone-history depth, minimum pivot tests, close-vs-wick break confirmation, the two breakout engines toggle each independently, zone band width, the 0–10 strength gate and Only-Strong filter, ATR length, the structural-stop buffer with risk cap/floor, the three R targets, level-shelf length and Max Zone Width, the HTF alignment filter, the signal cooldown, plus all dashboard, label, theme, and zone-shading options.
🎯 Why this is different — most breakout tools fire the instant price pokes past a line and treat every signal the same, which is exactly how they get chewed up by fakeouts. This one requires a level the market has genuinely tested, or a real break of market structure, classifies it as BOS or CHoCH, demands momentum / range / volume confirmation, anchors the stop to the structure that actually broke, then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — momentum and trend-developing markets across Forex, Gold XAUUSD, indices, and crypto, on intraday and swing timeframes M10/M15/M30/H1 and up. The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that produces real breakouts and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take breakouts in the direction of the larger trend.
Wait for a STRONG LONG / STRONG SHORT BREAKOUT label — it marks a confirmed break of a tested zone or structure, with the BOS / CHoCH tag, star score, and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: a common approach is to take partial profit at TP1 1R, move the stop toward breakeven, and let the rest run to TP2/TP3. The structural SL defines your risk on the trade.
Use Minimum Pivot Tests and Minimum Strength to set your style — stricter for fewer, cleaner breakouts; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The first target is a genuine 1R and the stop is structural by design no inflated win-rate geometry, which means reward-to-risk and position sizing matter as much as hit rate. Pivot-based zones confirm after the pivot lookback inherent pivot lag, so always wait for the labeled signal on a closed bar. Always combine it with your own analysis and risk management, and test it on your market before trading it live. Indicator
Bitcoin Statistical Forecaster + Power Law [Gabremoku]Bitcoin Statistical Forecaster + Power Law combines two analytical layers into a single BTC-focused overlay.
The first layer is a statistical analog forecaster. It scans historical Bitcoin data and searches for the closest matches to the most recent pattern using a weighted multi-feature distance model based on candle structure, volatility, momentum, trend distance, and structural position relative to the Bitcoin power-law range.
The second layer is a long-term Bitcoin power-law framework built from three structural curves: Floor, Mid-Stair, and Fair Value. These curves are plotted directly from the power-law formula and are not altered by the forecasting engine.
The script is not a simple mashup of two unrelated tools. The power-law layer is used as structural context inside the forecaster itself: it contributes to analog selection, regime comparison, optional forecast anchoring, and optional probability adjustment. The goal is to make historical pattern matching more aware of where price is located inside Bitcoin’s broader long-term structure.
How the forecast works:
The script compares the latest pattern against historical BTC windows.
It keeps the best analogs according to the selected similarity method.
These analogs are separated into Bull, Central, and Bear groups using the final return at the selected forecast horizon.
For each step in the projection, each scenario path is built from the weighted average of its own analog group, so the paths remain internally coherent instead of mixing bullish and bearish trajectories.
An optional structural bias can softly pull projected prices toward the power-law range over time. This effect fades in progressively across the forecast horizon, so near-term projections are not abruptly distorted.
Scenario probabilities are derived from the same percentile thresholds used to build the Bull, Central, and Bear paths. This keeps the displayed percentages aligned with the projected paths shown on the chart.
The script is designed for daily Bitcoin charts and works best when enough historical data is available. It is a probabilistic context tool, not a prediction guarantee, and it should be used together with risk management and independent market analysis.
Suggested usage:
Use the power-law curves to identify long-term structural position.
Use the forecast paths to estimate how similar historical BTC conditions evolved.
Compare current price location, structural regime, and scenario probabilities before forming a directional bias.
Treat the output as a contextual model, not as a standalone trading signal. Indicator
CDC Action Zone+TrueMarket Mean (BTC Focus) By Beckte## Overview
This indicator is a macro-focused trend following and cyclical value tracking tool, specifically designed for Bitcoin (BTC) long-term investors. It combines the momentum logic of the well-known **CDC Action Zone** with a mathematical simulation of the On-Chain **Realized Price** model.
The main purpose of this script is to identify high-probability, macro-generational accumulation zones while filtering out early or false bottom signals during aggressive downtrends.
---
## Key Components
### 1. CDC Action Zone (Trend & Momentum)
Based on the classic EMA 12 and EMA 26 crossover logic, this component colors the candlesticks to reflect the market's current momentum:
- 🟢 **Bright Green:** Strong Bullish Momentum (Hold / Trend is up)
- 🔵 **Blue:** Early Bullish Sign / Potential Reversal (Watch closely or start accumulation)
- 🔴 **Bright Red:** Strong Bearish Momentum (Stay in cash / Wait)
- 🟠 **Orange:** Early Bearish Sign / Technical Rebound in Bear Market
### 2. Realized Price Proxy (The Cyclical Floor)
In on-chain analysis, the **Realized Price** represents the average cost basis of all aggregate Bitcoin supply moving on-network, without omitting lost or dormant coins.
Since native on-chain data requires external API subscriptions on PulseWire, this script utilizes a specialized long-term statistical proxy (**730-day SMA with custom logarithmic offsets**) to simulate this ultimate cyclical floor. Historically, major bear market bottoms (2015, 2018, 2022) have strictly formed near or slightly below this baseline.
---
## How it Works & Entry Strategy (The Anti-Doi Mechanism)
To avoid catching falling knives during a capitulation event, this script enforces a strict double-confirmation rule:
1. **Value Zone Check:** The current market price must correct down to within **10% of the Realized Price Proxy** (the light blue line). This ensures you are buying Bitcoin at an extreme discount relative to historical network value.
2. **Momentum Trigger:** Once inside the Value Zone, the script waits for the **CDC Action Zone to flip from Red/Orange to Blue or Green**.
When both conditions are met, a **"REALIZED BUY"** label will plot beneath the candlestick, signaling a safe, low-risk entry spot with a highly compressed downside.
---
## Disclaimer & Credits
- **Credits:** The trend-following logic is inspired by the legendary "CDC Action Zone" concept popularized by Piriya Sambandaraksa. The valuation floor is based on the Realized Price on-chain metric conceptualized by the crypto-asset research community.
- **Disclaimer:** This indicator is designed for high-timeframe spot accumulation (recommended: 1D or 4H charts). It is not a financial advisory tool or a guarantee of future profits. Past performance does not indicate future results. Always practice proper risk management. Indicator
Bitcoin Compressing Power Law ChannelBitcoin Compressing Power Law Channel
Most Bitcoin power-law channels draw bands of a fixed width around a long-term trendline. This one is different: the channel width is not constant. It starts wide and compresses exponentially as Bitcoin matures, modeling the idea that long-term volatility around the trend tends to shrink over time. That decaying width is the core idea of this indicator.
Why a compressing channel
A standard power-law channel assumes the spread between its upper and lower bounds stays the same across Bitcoin's entire history. In practice, an asset's relative volatility tends to fall as it grows larger and more liquid. This indicator captures that by letting the channel narrow over time toward a configurable floor, so the bounds reflect a maturing market rather than a permanently fixed range.
How it works
The model assumes log(price) scales linearly with log(days since the genesis block), producing a fair-value trendline: logFair = intercept + slope * log10(days). A lower bound is offset below that line, and the upper bound is placed above the lower bound at a distance set by the channel width.
The width itself is the original part: width = minWidth + startWidth * exp(-decaySpeed * yearsSinceGenesis). Early in Bitcoin's history the exponential term is large and the channel is wide. As years pass, that term shrinks toward zero and the width converges to a minimum floor (minWidth). The result is a channel whose envelope tightens over time instead of staying fixed.
What it plots
Three lines in price space (upper, middle, lower) with a shaded fill between the upper and lower bounds. Optionally, a 200 SMA of the current timeframe and a 200 SMA from the weekly timeframe, each toggleable. The weekly SMA is requested from a higher timeframe with lookahead disabled, so it does not repaint using future data. A normalized "Decay Channel Oscillator" is exposed in the Data Window, showing where the current close sits within the channel on a 0 to 1 scale (0 = lower bound, 1 = upper bound).
Inputs
Every model parameter is adjustable: the genesis date, the power-law intercept and slope, the lower offset, the initial and minimum channel widths, and the decay speed that controls how fast the channel compresses. Colors for each line, the fill, and both SMAs are configurable.
How to use it
Apply it to a Bitcoin chart on a longer timeframe such as Daily or Weekly, where a power-law model is most meaningful. The middle line is the model's central estimate; the upper and lower lines describe the expected long-term range, narrowing as time goes on. The Data Window oscillator lets you read how stretched price is within the channel numerically.
Parameters and calibration
The default intercept and slope are starting values that approximate Bitcoin's historical power-law fit. They are not fixed truths. You should re-evaluate them and adjust them, along with the offset, widths, and decay speed, to suit your own analysis and the data range you are studying. Different calibrations will move the channel and change how aggressively it compresses.
Limitations and cautions
This is a model, not a prediction. The power-law relationship is an empirical observation that may break down at any time, and the decay parameters are assumptions, not facts. The compressing width is a hypothesis about volatility maturing over time; it may not hold. This indicator is built for Bitcoin and is not intended for other assets. Nothing here forecasts future prices, and the past behavior of the channel does not guarantee anything about how price will behave going forward.
The code is open-source under the Mozilla Public License 2.0. You are welcome to study it and build on it. Indicator
Indicator
Indicator
Crypto Beta Leadership Ladder [AGPro Series]Crypto Beta Leadership Ladder
🧠 Core Idea
When crypto risk appetite changes, who is actually leading the move: BTC, ETH, broad alt beta, or the active chart itself?
📌 Overview / What it does
Crypto Beta Leadership Ladder is a market leadership and relative beta map for crypto traders.
The script compares BTC, ETH, broad altcoin market-cap behavior, high-beta altcoin breadth, BTC dominance, ETH dominance, and the active chart into a single leadership framework.
It produces a right-side leadership ladder, a live leadership path, selective transition labels, optional compact markers, and an AG Pro dashboard panel. It does not predict price, automate trades, or tell users what to buy or sell.
🎯 Purpose & Design Philosophy
This script was built to solve a common crypto-market problem: price may move, but leadership often rotates underneath the move.
Sometimes BTC is leading defensively. Sometimes ETH begins to participate. Sometimes broad alt beta expands. Sometimes the active chart is outperforming the market. These are different market conditions, and they should not be interpreted the same way.
The goal is to help traders read crypto leadership quality instead of reacting only to candle direction.
⚡ Why This Script Is Different
Most tools focus on one symbol, one moving average, one dominance chart, or one relative-strength line.
This script does NOT draw liquidation zones, funding stress maps, stablecoin liquidity pulses, basis corridors, or open-interest commitment zones.
Instead, it builds a leadership ladder from multiple crypto-market proxies and ranks BTC, ETH, alt beta, and chart beta as a live market hierarchy.
⚙️ Methodology
1. Context Detection
The script reads BTC, ETH, TOTAL2, TOTAL3, BTC dominance, and ETH dominance sources.
2. Relative Beta Mapping
It compares performance, dominance change, chart beta versus BTC, and altcoin breadth versus BTC.
3. Leadership Ranking
BTC, ETH, ALT, and CHART scores are ranked into a leadership stack. The gap between the first and second rank controls whether leadership is clear or split.
4. Visual Output
The script displays a right-side rank ladder, a leadership path, selective event labels, optional rank markers, and a compact dashboard.
🗺️ How to Read the Chart
The top ladder rail shows the current leadership rank.
The middle rail shows the second rank and whether leadership is close or split.
The lower rail shows the third rank and the active beta spread context.
The leadership path moves with the market and changes color by active leadership state.
Event labels highlight major transitions such as BTC Shield Lead, ETH Leadership, Alt Beta Lead, Chart Beta Expansion, or Split Leadership.
The panel summarizes leader, score, edge, BTC relative change, ETH relative change, alt beta, chart beta, dominance shift, persistence, state, and grade.
🚦 Signals & States
• BTC Leadership → BTC is leading defensively versus the broader crypto market
• ETH Leadership → ETH participation is stronger than BTC and broad alt context
• Alt Beta Lead → high-beta altcoin breadth is leading the crypto market
• Chart Beta Expansion → the active chart is outperforming BTC with expanding beta
• Split Leadership → leadership is mixed and no single group has clear control
• Balanced Leadership → leadership is present but not strong enough to be dominant
• Data Missing → one or more reference sources are unavailable
🔔 Alerts Logic
Alerts can be enabled for BTC Leadership, ETH Leadership, Alt Beta Leadership, Chart Beta Expansion, and Split Leadership.
Alerts trigger when the relevant state becomes active and the leadership state changes.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The ladder becomes more meaningful when rank edge, dominance shift, chart trend, and persistence align.
For example, an Alt Beta Lead state with positive chart beta and falling BTC dominance suggests a stronger risk-on leadership environment than a single isolated altcoin move.
📊 When to Use
• Crypto market rotation analysis
• BTC versus altcoin leadership checks
• ETH participation monitoring
• Altcoin beta expansion environments
• Market regime comparison across timeframes
⚠️ When NOT to Use
• Symbols with poor liquidity
• Very low timeframes with noisy dominance behavior
• Markets where reference symbols are unavailable
• During extreme news shocks without broader context
🎛️ Key Inputs
• Leadership Momentum Length → controls the main comparison window
• Leadership Baseline Length → controls slower leadership context
• Leadership Edge Threshold → controls how strong rank separation must be
• Beta Expansion Threshold → controls chart outperformance sensitivity
• Ladder Projection Bars → controls right-side ladder length
• Label Font Size / Panel Font Size → controls visual readability
🖥️ Interface & Visual Design
The interface is designed as a leadership stack rather than a zone map.
The ladder avoids white or pale-gray primary visuals so it remains visible on both dark and light chart backgrounds.
The panel uses the AG Pro blue header with a single merged title row and a compact information hierarchy.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check which asset group leads the ladder.
3. Compare edge and persistence.
4. Read the leadership path color.
5. Use event labels as attention markers, not trade signals.
🔍 Interpretation Guidelines
Clear leadership means one group is controlling relative market behavior.
Split leadership means the market may be rotating, pausing, or lacking conviction.
Chart Beta Expansion means the active symbol is outperforming BTC, but it still requires broader confirmation.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a financial-advice tool.
It is not an automated trading system.
It does not guarantee that leadership will continue.
It does not replace risk management or broader market analysis.
⚠️ Limitations & Transparency
Reference-symbol availability may vary by exchange, region, and PulseWire data feed.
Dominance data may behave differently from exchange-traded pairs on lower timeframes.
Leadership can rotate quickly during volatile crypto sessions.
Different timeframes may show different leadership states.
🧠 Market Context Notes
BTC leadership often reflects defensive crypto behavior.
ETH leadership can suggest higher participation in major smart-contract assets.
Alt beta leadership can suggest broader risk appetite, but it may also be more volatile.
Split leadership often appears during transitions, pauses, or uncertain market regimes.
🧾 Use Case Examples
When BTC leads while BTC dominance rises, the market may be defensive even if price is moving.
When alt beta leads while BTC dominance falls, broader risk appetite may be improving.
When the active chart expands versus BTC while rank edge improves, that symbol may deserve closer attention.
🧱 System Philosophy
Crypto markets are not led by one chart all the time.
This script treats leadership as a rotating hierarchy and visualizes that hierarchy directly on the chart.
🔐 Non-Promise Statement
No script can guarantee future price behavior.
This tool maps leadership context; it does not provide certainty.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions.
This script is provided for educational and analytical purposes only and does not constitute financial advice.
📚 Educational Note
Use the ladder to study how crypto leadership rotates between BTC, ETH, alt beta, and the active chart across different market regimes.
Indicator
RSI Volume LadderA long-only pyramiding strategy that scales into corrections using RSI oversold conditions confirmed by above-average volume. Each subsequent entry requires a meaningful price drop from the previous fill, with an asymmetric exit structure: Take Profit anchored to the average entry, Stop Loss anchored to the lowest fill. Built for traders who want to systematically dollar-cost into pullbacks within an uptrend, with clearly defined risk per pyramid stack.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ORIGINALITY — WHAT MAKES THIS DIFFERENT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Five specific mechanics that, in this combination, distinguish this script from other averaging-down systems published on PulseWire:
- ASYMMETRIC EXIT ANCHORING
Take Profit is calculated from the average entry price of the pyramid — so winners run from the averaged-down cost basis. Stop Loss is calculated from the LOWEST entry price among all open positions — so the absolute worst-case loss is bounded by your deepest fill, not your average. This asymmetry is the key to making pyramiding viable: averaging works for you on the upside without inflating downside risk.
- PRICE-DROP GATE FOR EACH PYRAMID LEG
Every subsequent entry requires both a fresh RSI + volume signal AND a configurable minimum price drop from the previous fill (default 1.5%). This prevents stacking three positions within a tight range during a slow grind down — pyramiding only triggers on meaningful pullbacks, forcing real averaging instead of cosmetic averaging.
- ASYMMETRIC COOLDOWN ON EXIT
After a Stop Loss, the strategy waits N bars (default 3) before allowing new entries — blocks the "catch the falling knife" pattern where RSI stays oversold for many bars during a cascade. After a Take Profit, cooldown is configurable separately and defaults to 0, because a successful exit signals continued mean-reversion behavior worth participating in.
- ENTRY-TIMING SAFETY
Exit detection runs at the top of the bar evaluation, BEFORE the entry check. This means a Stop Loss hit on a bar cannot trigger a new entry on the same bar — even if RSI is still deeply oversold and volume is elevated. The cooldown counter is set before the entry logic ever sees the bar, eliminating a subtle but realistic execution problem in pyramiding systems.
- VISUAL EXIT CLASSIFICATION
When the position closes, the script automatically classifies the exit as TP or SL by measuring distance from actual fill price to each pre-set level, and renders a fuchsia or red cross at the exit price. No look-ahead, no estimation — the classification uses the closed trade's recorded exit price.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CREDITS & FOUNDATIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This script builds on established methodologies with original Pine v5 implementation of every layer:
- RSI — Wilder, 1978 (standard implementation via ta.rsi)
- Volume confirmation — classical technical analysis
- Pyramiding / scaling-in — standard portfolio management technique (Tharp, Elder)
- Dollar-cost averaging principles — long-standing investment methodology
ALL CODE in this script was written from scratch. No code has been copied from other public or private scripts. The five mechanics listed under ORIGINALITY above are original combinations and implementations.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
HOW THE STRATEGY WORKS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ENTRY CONDITIONS (all must be true):
- RSI below the configurable oversold threshold (default 30)
- Volume above SMA × configurable multiplier (default 1.5× of SMA20)
- For pyramiding: price must be at least X% below the last fill (default 1.5%)
- Cooldown not active from the previous exit
- Open positions count below the pyramiding cap (default 3)
PYRAMID BUILDING:
Up to 3 long positions can be opened. Each new entry independently re-checks all conditions — the RSI + volume signal must reappear, AND the price drop gate must be satisfied. Position size per entry is fixed (default 5% of equity), so a full three-position stack uses approximately 15% of equity.
EXIT LOGIC:
Both legs run as an OCO (one-cancels-other) bracket:
Take Profit = average entry × (1 + tpPercent / 100), default +4%
Stop Loss = lowest entry × (1 − slPercent / 100), default −3%
All positions close together when either level is hit. The TP/SL levels update on every bar as the pyramid grows — average shifts on each new fill, lowest fill anchors deeper if a new low is hit.
COOLDOWN MECHANISM:
On exit, the strategy records the bar index and exit type. While bar_index − lastExitBar ≤ requiredCooldown , new entries are blocked. The required cooldown differs by exit type (default 3 bars after SL, 0 bars after TP), reflecting that an SL exit often happens during continuing weakness, while a TP exit signals healthy mean reversion.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
VISUALIZATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ENTRY ARROWS — blue triangles below each fill, labeled Long_1 / Long_2 / Long_3 with the order price
AVERAGE ENTRY LINE — blue, updates as the pyramid grows (staircase pattern)
TAKE PROFIT LINE — fuchsia, updates with the average
STOP LOSS LINE — red, anchored to the lowest fill (steps down only if a deeper entry occurs)
EXIT CROSS — fuchsia at TP hit, red at SL hit, placed at the actual exit price
The line style is plot.style_linebr , which connects within an open position and breaks cleanly between positions — making each pyramid cycle visually self-contained on the chart.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
HOW TO USE IT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This is a complete entry + exit strategy, but it is NOT a turn-it-on-and-walk-away system. Use it as a framework to test and adapt to your specific instrument:
- Load on a liquid asset with mean-reverting behavior in an uptrend. The strategy was developed on crypto majors (BTC, ETH) and major equity indices.
Start with the default parameters and run the Strategy Tester on at least 6 months of history.
- Pay attention to:
• Net Profit and Max Drawdown ratio
• Average loss vs. average win
• Whether losing streaks cluster during specific market regimes
Tune to your instrument's volatility:
• Higher-volatility assets (alt-coins, small caps) → increase dropPercent (2-3%), increase slPercent (4-6%)
• Lower-volatility assets (BTC, indices) → decrease dropPercent (1-1.5%), tighter slPercent (2-3%)
• Higher timeframes (1h, 4h) → wider TP/SL to match bar range
- Consider adding an external trend filter for your live use. The strategy will pyramid into any oversold reading regardless of higher-timeframe context. Adding an EMA200 filter (only enter if price > EMA200) materially changes the risk profile on instruments prone to extended downtrends.
- Treat the strategy output as a structured framework for your dip-buying process, not as a guaranteed system. Combine with your own market analysis, position sizing, and broader risk management.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
INPUTS WORTH KNOWING
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RSI Length (default 14) and Oversold threshold (default 30) — standard RSI configuration. Lower threshold = fewer, deeper-oversold entries.
Volume SMA length (default 20) and Multiplier (default 1.5×) — volume confirmation strength. Higher multiplier = only enter on standout volume spikes, fewer entries.
Min drop between pyramid entries (default 1.5%) — prevents tight clustering. Higher = waits for deeper pullbacks before adding.
Max pyramid positions (default 3) — caps the stack. Note: pyramiding=3 is also set in the strategy() header.
Take Profit % from average (default 4%) — anchored to running average entry price.
Stop Loss % from lowest fill (default 3%) — anchored to the deepest entry, shared across all open positions.
Cooldown after SL (default 3 bars) — blocks the falling-knife pattern after a stop-out.
Cooldown after TP (default 0 bars) — re-enter immediately after a successful exit.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
REALISTIC EXPECTATIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pyramiding into corrections is a well-known approach with well-known limitations. The strategy works best when:
The underlying asset has a structural uptrend
Volatility produces regular pullbacks of meaningful depth
The market is not in a sustained bear regime
What this strategy provides:
A disciplined framework for scaling into pullbacks instead of single-shot entries
Asymmetric exit anchoring that lets winners run from the averaged cost basis
Built-in protection against catching the falling knife via cooldown
Transparent visualization of each pyramid leg, exit, and risk level
What it does NOT provide:
Protection from prolonged bear trends (averaging down into a structural decline is the dominant failure mode of this entire strategy family)
A guaranteed profitable system
A signal generator for assets that don't mean-revert
A replacement for your own market analysis, position sizing, or higher-timeframe context
Treat the output as ONE structured input in your trading process. The biggest risk to your account using a pyramiding strategy is mis-applying it to a downtrending asset — always confirm regime alignment before going live.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TECHNICAL NOTES & DISCLOSURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
NO REPAINT . Uses process_orders_on_close=true — all orders execute on confirmed bar close. No request.security() calls, no lookahead_on, no barmerge.lookahead_on.
REALISTIC EXECUTION . Default commission 0.05% per trade (typical crypto exchange taker fee). Position sizing in % of equity, not fixed contracts. Initial capital 10,000.
DATA USED : only standard Pine inputs — open, high, low, close, volume. Indicators: RSI, SMA of volume. No external feeds, no security() calls, no synthetic data.
PERFORMANCE : max_labels_count=500. Pyramiding capped at 3. No unbounded growth of internal objects.
ASSETS : developed on crypto majors and tested across 5m, 15m timeframes. Works on equities and forex but parameters were tuned on crypto and may need adjustment for assets with different intraday behavior.
EDUCATIONAL AND ANALYTICAL TOOL . Intended for traders who understand pyramiding mechanics and the inherent risk of averaging-down strategies, and who want a structured framework to test on their own instruments.
OPEN SOURCE . Read the code, learn from it, fork it. Feedback and bug reports welcome in the comments.
Check my profile for other published scripts. Strategy
Indicator
BTC Potential EnergyBTC Potential Energy is a macro-cycle oscillator that tracks how much "dry powder" is sitting in Tether (USDT) relative to its structural baseline — and translates that into a 0–100 potential energy score for Bitcoin. The core idea is simple: when investors are parking abnormal amounts of capital in stablecoins, that capital isn't gone — it's coiled. The higher the stablecoin accumulation above its own historical trend, the greater the potential for a violent rotation back into Bitcoin when sentiment shifts.
The indicator displays as a sub-pane oscillator beneath your BTC chart and is designed primarily for use on the Weekly or Daily timeframe , where macro cycle analysis is most meaningful.
The Concept: Stablecoins as a Coiled Spring
In crypto markets, Tether Dominance (USDT.D) is the percentage of total crypto market cap held in USDT. It rises when investors flee risk — selling Bitcoin and altcoins into stablecoins — and falls when investors deploy that capital back into the market.
This creates a physics-like analogy:
Compression phase — USDT.D rises as capital moves to safety. Like compressing a spring, potential energy builds.
Release phase — USDT.D begins to fall. The spring releases. Capital rotates into BTC, historically preceding or coinciding with the early stages of bull runs.
The further above normal USDT.D is, and the more abruptly it starts declining, the more powerful that rotation tends to be.
The Problem With Naive USDT.D Analysis
The most obvious approach — ranking the raw USDT.D value over history — fails in practice. Why? Because the stablecoin market has grown enormously since 2017. USDT.D in 2021 was structurally higher in absolute percentage terms than in 2018, simply because more stablecoins exist and are used as a base layer across DeFi and centralised exchanges. This secular uptrend means that if you rank raw USDT.D, the indicator reads "high energy" throughout the 2021 bull market — precisely when energy was already deployed and Bitcoin was already running. That is the opposite of useful.
The Solution: Detrended Potential Energy
BTC Potential Energy solves this by ranking the deviation of USDT.D from its own long-term moving average , not the raw level itself. This strips out the structural growth of the stablecoin market and isolates only the anomalous accumulation — the excess fear-driven or cycle-driven flight to safety that goes beyond what the baseline trend would predict.
Step 1 — Establish the Baseline
A long Simple Moving Average (default: 100 bars) is computed on USDT.D. On the weekly chart, this represents approximately 2 years — roughly one full Bitcoin market cycle. This MA acts as the "expected" or structural level of stablecoin dominance for any given period. It rises gradually over time as the stablecoin ecosystem matures, automatically adjusting the baseline to the era.
Step 2 — Compute the Deviation
The deviation is calculated as:
Deviation = USDT.D − Baseline MA
A positive deviation means USDT.D is elevated above its own trend — investors are accumulating stablecoins beyond what the baseline predicts. This is abnormal stablecoin hoarding, and it represents genuine potential energy.
A negative deviation means USDT.D is below trend — capital has already been deployed into risk assets. Energy has been discharged.
Step 3 — Percentile Rank the Deviation
The current deviation is ranked as a percentile against all deviation values in a rolling lookback window (default: 200 bars). This produces the final Potential Energy score on a 0–100 scale:
100 = The current stablecoin accumulation anomaly is the most extreme it has been in the entire lookback window. Maximum coiled energy.
50 = Deviation is average. Neutral state.
0 = USDT.D is at its most suppressed relative to trend. Capital is fully deployed. Energy is discharged.
This approach is robust across all market eras and does not require re-calibration as the stablecoin ecosystem grows.
The Four Energy States
The indicator identifies one of four states on every bar, displayed in the live info table and used to determine histogram colour.
ACCUMULATING (Blue)
PE is below 40. USDT.D is near or below its structural baseline. Capital is deployed or neutral. The market is in an active risk-on phase or the bear market has not yet produced meaningful stablecoin accumulation. No elevated potential energy.
BUILDING (Amber)
PE is between 40 and the Charge Threshold, and is rising. Stablecoin accumulation is growing above the baseline. Investors are beginning to retreat from risk. Potential energy is loading. Worth monitoring but not yet at an actionable level.
CHARGED (Orange/Red)
PE is above the Charge Threshold (default: 65). USDT.D is historically elevated relative to its own trend. A significant amount of capital is sitting in stablecoins beyond what the baseline predicts. The spring is fully coiled. Bitcoin's potential energy is at its most loaded.
RELEASING (Green)
PE is above the Charge Threshold AND USDT.D deviation has been declining for N consecutive bars (default: 3). This is the critical state — energy that was compressed is now actively unwinding. Capital is rotating out of stablecoins. Historically, this condition — high stablecoin accumulation followed by a structural reversal — has preceded or coincided with meaningful Bitcoin bull moves.
Release Signal Logic
The release signal is intentionally conservative. Two conditions must be met simultaneously:
1. Armed: The Potential Energy score must be at or above the Charge Threshold. The spring must actually be compressed before a "release" means anything. A declining USDT.D from a low base is not a release — it's just noise.
2. Declining: USDT.D deviation must have been falling for at least N consecutive bars (configurable). This filters out single-bar blips and requires a structural turn, not just a one-week dip.
When both conditions are met, the histogram turns green for the duration of the release phase, and an alert can be triggered on the first bar the signal fires.
Visual Guide
Histogram colour
Deep Blue → Sky Blue: Low energy (PE 0–50), capital deployed
Gold: Moderate energy (PE 50–threshold), building phase
Amber/Orange: High energy (PE above threshold), fully charged
Green: Release phase active — deviation unwinding from a high base
Background glow: Subtly tints the pane background to reflect the current energy state — deep blue at low energy, warming to amber and orange as energy builds.
Dashed orange line: The Charge Threshold. PE crossing above this line arms the release detector.
Dotted grey line: The 50 midpoint. PE above 50 means the deviation is in the upper half of its historical range.
Fast MA (blue) / Slow MA (pink): Moving averages of the USDT.D deviation, projected into the 0–100 PE space. When fast crosses above slow, deviation is accelerating upward — energy building faster. When fast crosses below slow from above the threshold, it can precede a release signal.
Info Table (top right):
Energy Level — Current PE score out of 100
USDT.D — Raw live Tether Dominance reading
Baseline — The long MA value, the structural floor
Deviation — How many percentage points USDT.D is above or below baseline (+ is elevated, − is deployed)
State — Current energy state in plain text
Trend MA — The baseline length setting in use
Settings Reference
Percentile Lookback (default: 200)
The rolling window used to rank the current deviation. Longer lookbacks give more historical context but are slower to respond to structural shifts. 200 bars on the weekly is approximately 4 years — long enough to capture a full bull/bear cycle.
Trend Baseline MA (default: 100)
The most important parameter. This defines the structural floor. On the weekly chart, 100 bars is roughly 2 years — approximately one Bitcoin market cycle. Shorter values (e.g. 52 bars = 1 year) make the baseline more responsive, which can be useful on the daily chart. Longer values (130–150 bars) create a smoother, slower-moving baseline that irons out mid-cycle noise.
Signal Smoothing (default: 3)
EMA applied to raw USDT.D before any calculations. Reduces candle-to-candle noise in the source data. Higher values produce a cleaner but more lagged signal.
Charge Threshold (default: 65)
The PE level that must be reached before the release detector is armed. Raising this to 70–80 produces fewer, higher-conviction signals. Lowering it to 55–60 will trigger signals more frequently but with potentially lower reliability.
Consecutive Bars Declining (default: 3)
The number of consecutive bars that the deviation must be falling before a release is confirmed. Increasing this requires a more sustained reversal and reduces false positives. On the weekly chart, 3 bars is already meaningful — that is 3 weeks of sustained stablecoin outflows.
Fast MA / Slow MA Length (defaults: 14 / 50)
Moving averages of the deviation plotted in PE space. The crossover of fast above slow while PE is below threshold is worth watching as early warning of building energy. A crossover of fast below slow from above the threshold can precede a release signal.
Recommended Usage
Timeframe: Weekly or Daily. This is a macro cycle indicator. Do not use it to time intraday entries — it is not designed for that.
Combine with price structure: The release signal is most powerful when it aligns with Bitcoin reclaiming a key level, a breakout of a multi-month range, or a bullish divergence on a momentum indicator. The Potential Energy score tells you the setup is primed — price action confirmation tells you it is firing.
Watch the Deviation column: The live table shows the raw deviation in percentage points. A deviation of +1.5% means USDT.D is 1.5 percentage points above its 2-year average — that is a meaningful anomaly. Watching this number decline from a peak as the state transitions from CHARGED to RELEASING gives an intuitive real-time read of the rotation.
Baseline MA tuning: On the weekly chart, start with the default 100. On the daily chart, consider reducing the Trend Baseline MA to around 52 bars to keep the baseline responsive to faster-moving daily USDT.D data.
Alerts
Three alert conditions are available:
BTC PE — Energy Release: Fires on the first bar the release condition is met. The most actionable alert. USDT.D deviation is actively unwinding from an elevated zone.
BTC PE — Fully Charged: Fires when PE crosses above the Charge Threshold from below. Signals that potential energy has entered the high zone.
BTC PE — Energy Exiting High Zone: Fires when PE crosses below the Charge Threshold from above. Useful as a heads-up that the setup may be resolving.
Notes
This indicator uses request.security("CRYPTOCAP:USDT.D") to pull Tether Dominance data sourced from CoinMarketCap's crypto market cap feed via PulseWire.
This indicator is a research and analysis tool. It does not constitute financial advice. Past correlations between Tether Dominance behaviour and Bitcoin price movements do not guarantee future results. Always combine macro oscillator readings with your own price analysis, risk management framework, and market context. Indicator
Strategy
Indicator
