Institutional Volatility Structure EngineWhat is This Indicator?
This is a professional-grade volatility term structure analyzer designed to show how institutional traders view market fear across different time horizons.
Instead of just looking at the regular VIX, this indicator tracks:
• VIX1D (1-day implied vol)
• VIX9D (9-day)
• VIX (30-day)
• VIX3M (3-month)
• VIX6M (6-month)
• VVIX (Volatility of Volatility)
It analyzes the shape of the volatility curve and classifies the market into clear regimes, helping you understand whether the market is calm, stressed, coiled, or about to explode.
🎨 Main Visual Elements
1. Colored Lines (Term Structure)
Red: VIX1D (shortest term fear)
Orange: VIX9D
White: VIX (standard)
Aqua: VIX3M
Blue: VIX6M
Fuchsia: VVIX (how volatile volatility itself is)
2. Value Labels (New Feature)
Real-time price labels on the right side of each line so you can instantly see current values without checking the scale.
3. Background Heatmap
Red = Full Backwardation (Extreme fear/stress)
Orange = Front-End Inversion (Short-term trouble brewing)
Green = Compression Regime (Market is calm but coiled → high probability of volatility expansion)
Teal/Blue = Healthy Contango (Normal bull market behavior)
Purple = Volatility Expansion
Gray/Yellow = Transition
4. Curve Oscillator (Area Plot)
Red = Medium-term fear building
Green = Fear easing
5. Compression Score (Yellow Line)
Low = Terms are very close together (coiled spring)
High = Volatility is spreading out
📊 Dashboard Table (Top Right)
Gives you an instant professional summary:
Current values of all VIX terms
Z-Scores (how extreme current levels are)
Front Ratio (VIX1D ÷ VIX)
Breadth (how many terms are rising together)
Regime status
Percentile rankings
🔍 How to Use It Profitably (Practical Guide)
1. Regime Trading (Highest Edge)
Green Background (Compression) → Best environment for buying volatility (long VIX futures, UVXY, VXX, or long options). The market is quiet but tension is building.
Red/Orange Background → High caution or short volatility setups after the event passes (volatility crush).
Purple (Expansion) → Volatility is already expanding — trend days or big moves likely.
2. Key Signals to Watch
Front Shock (VIX1D >> VIX): Sudden short-term panic.
VVIX Explosion: Volatility of volatility spiking → dangerous for short vol strategies.
Vol Crush: All front terms falling fast → good for premium selling.
Trend Day Warning: Front inversion + rising curve oscillator → expect strong directional move.
3. Best Timeframes
Daily: Best for understanding overall regime
4H / 1H: Excellent for tactical entries and exits
Weekly: Great for long-term portfolio hedging decisions
⚙️ Key Inputs Explained
Show Value Labels on Lines: Toggle the numbers that appear next to each line.
Compression Threshold: Lower = more sensitive to "coiled" markets.
Z-Score Lookback: How many bars used for statistical extremes (50 is good default).
Alert toggles: Enable only the alerts you care about.
💡 Pro Tips for New Users
Start Simple: First just watch the background color and the regime label.
Combine with Price Action: Green background + bullish candlestick pattern = strong setup.
Use Alerts: Set alerts for regime changes and front shocks so you don’t have to stare at the chart.
Context Matters: This indicator is extremely powerful around earnings seasons, FOMC meetings, and major news events.
Low VIX Environment (<15): Even small inversions become very meaningful.
🎯 Ideal Use Cases
• Options Traders: Know when to sell premium vs buy volatility
• Day Traders: Spot potential trend days early
• Swing Traders: Identify high-probability volatility expansion setups
• Portfolio Managers: Decide when to add tail-risk hedges
Bottom Line:
This indicator turns complex institutional volatility data into clear, actionable regimes. The background color is your main "mood of the market" indicator. Indicator
Volatility Flow & Cycle DivergencesVolatility Flow & Cycle Divergences
General Description
Volatility Flow & Cycle Divergences is an intermarket quantitative analysis tool designed to map liquidity flows, risk regimes, and structural anomalies between the US stock market (S&P 500 / ES) and the options market, represented by the CBOE Volatility Index (VIX).
The indicator is built on the premise that the physiological relationship between the S&P 500 and the VIX is historically inverse (moving in opposite directions roughly 80% of the time). This script does not merely calculate the raw ratio between the two assets; it mathematically isolates the rare moments of monetary asynchrony where this correlation breaks down. These anomalies are frequently the precursors to lasting cyclical reversals or the exhaustion of the primary trend.
Core Features and Filtering Logic
To overcome the issue of false signals typical of traditional oscillators on intermediate timeframes, the script integrates three concurrent proprietary filters:
Intermarket Relative Strength Ratio (VIX/SPX): It calculates the relative speed between the demand for protective insurance (Put options) and the spot price of the equity basket.
Asymmetric Cyclical Pivot Filter: The algorithm for detecting relative highs and lows uses an asymmetric lookback/lookahead range (calibrated by default to 8 periods on the left and 5 on the right). This isolates true macro turning points and eliminates microscopic, temporary intraday spikes.
Momentum Validation (Anti-Inertia Filter): Divergences are not generated purely on a mathematical basis. A divergence on market highs is validated only if the S&P 500 is in a true zone of strength/overbought territory (RSI > 55), while a divergence on market lows requires actual panic selling pressure (RSI < 45). If the market is in a neutral congestion phase, the signal is discarded at the source.
Algorithmic Transparency (Under the Hood)
The indicator executes its analysis by processing three integrated algorithmic engines within the code:
Geometric Pivot Algorithm (ta.pivothigh/low): Constantly scans the historical series of the VIX/SPX Ratio to isolate cyclical peaks and troughs, validating them only if they are surrounded by a precise asymmetry of bar-index (8 to the left, 5 to the right).
Momentum Algorithm (Wilder's RSI): Monitors the first derivative of the S&P 500 price. It does not calculate the classic relative strength on the Ratio itself, but uses the RSI algorithm on the underlying equity index to act as a logical switch (Gatekeeper) for the signals.
Pattern Matching Algorithm (Conditional Logic): A conditional control structure that crosses the spatial-temporal coordinates of price pivots with those of volatility, filtering out false signals based on overbought/oversold regimes.
H ow to Read the Signals on the Chart
The script provides a clean graphical visualization using compact "badges" on the lower panel so it does not obscure the price action:
DD (Distribution Divergence - Red): The S&P 500 prints a new relative high, but the VIX/SPX Ratio shows a higher low or an anomalous support. This means that despite the price rally, institutional investors are accumulating protective hedges due to an ongoing distribution. Potential pullback ahead.
DA (Accumulation Divergence - Green): The S&P 500 updates its period lows amid panic, but the Ratio registers a lower peak compared to the previous one. Implied volatility pressure is exhausting: "smart money" is stopping the hedging process and beginning to accumulate spot positions. Potential cyclical low/bounce in formation.
User Interface (UI) Elements
Integrated Information Dashboard: Positioned at the bottom left with a transparent background to preserve chart real estate. It shows the real-time macro state of the market (RISK-ON or RISK-OFF) based on the position of the Ratio relative to its 20-period moving average, serving as an operational reminder for the divergence rules.
View Toggle: Through the indicator settings panel, you can hide or show the dashboard with a single click.
Operational Advice and Timeframes
This indicator expresses its maximum performance when integrated into a cyclical and multi-day flow analysis logic:
Best Timeframe: 2 Hours (2H) to capture operational swings and cycles lasting 2-3 days.
Macro / Swing Analysis: Daily (1D) to map structural medium-to-long term risk regimes.
Technical Note: We advise against using this on fast timeframes (below the 2-hour chart) due to the algorithmic noise generated by short-term option expirations (0DTE) and the lack of reliable spot VIX calculation during overnight sessions (Globex).
I mportant Disclaimer & Operational Risk Warning
Critical Note: Never use a single indicator to make standalone trading decisions. Always contextualize what the indicator suggests within a broader market framework and combine it with other validation techniques (e.g., Price Action, Market Structure, Volume Profile, or Order Flow). No indicator is infallible, and intermarket divergences represent shifts in probability, not guaranteed certainties.
Italiano
Descrizione Generale
Volatility Flow & Cycle Divergences è uno strumento di analisi intermarket quantitativa progettato per mappare i flussi di liquidità, i regimi di rischio e le anomalie strutturali tra il mercato azionario statunitense (S&P 500 / ES) e il mercato delle opzioni, rappresentato dal CBOE Volatility Index (VIX).
L'indicatore si basa sul presupposto che la relazione fisiologica tra l'S&P 500 e il VIX sia storicamente inversa (circa l'80% delle volte si muovono in direzioni opposte). Questo script non si limita a calcolare il rapporto puro tra i due asset, ma isola matematicamente i rari momenti di asincronia monetaria, in cui questa correlazione si spezza. Tali anomalie sono spesso il precursore di inversioni cicliche durature o di esaurimenti del trend principale.
Caratteristiche Principali e Logica di Filtraggio
Per superare il problema dei falsi segnali tipici degli oscillatori tradizionali sui timeframe intermedi, lo script integra tre filtri proprietari concorrenti:
Rapporto di Forza Relativa Intermarket ($VIX/SPX$):
Calcola la velocità relativa tra la domanda di coperture assicurative (opzioni Put) e il prezzo spot del paniere azionario.
Filtro Ciclico Asimmetrico sui Pivot:
L'algoritmo di rilevamento dei massimi e minimi relativi utilizza un raggio d'azione asimmetrico (calibrato di default a 8 periodi a sinistra e 5 a destra). Questo isola i reali punti di svolta macro ed elimina i microscopici spike estemporanei intra-day.
Validazione del Momentum (Filtro Anti-Inerzia):
Le divergenze non vengono generate su base puramente matematica. Una divergenza sui massimi viene convalidata solo se l'S&P 500 si trova in una reale zona di ipercomprato/forza relativa (RSI > 55), mentre una sui minimi esige una reale pressione di panico (RSI < 45). Se il mercato si trova in una fase di congestione neutra, il segnale viene scartato all'origine.
Come Leggere i Segnali sul Grafico
Lo script restituisce una visualizzazione grafica pulita mediante "badge" compatti sul pannello inferiore per non occultare l'azione del prezzo:
DD (Divergenza di Distribuzione - Rossa): L'S&P 500 stampa un nuovo massimo relativo, ma il Ratio VIX/SPX mostra un minimo crescente o un supporto anomalo. Significa che, nonostante il rialzo del prezzo, gli investitori istituzionali stanno accumulando coperture protettive a causa di una distribuzione in corso. Potenziale storno in arrivo.
DA (Divergenza di Accumulazione - Verde): L'S&P 500 aggiorna i minimi di periodo nel panico, ma il Ratio fa registrare un picco inferiore rispetto al precedente. La pressione della volatilità implicita si sta esaurendo: le "mani forti" smettono di proteggersi e iniziano ad accumulare posizioni spot. Potenziale minimo ciclico/rimbalzo in formazione.
Elementi di Interfaccia Utente (UI)
Dashboard Informativa Integrata:
Posizionata in basso a sinistra con uno sfondo trasparente per preservare il chart real estate. Mostra in tempo reale lo stato macro del mercato (RISK-ON o RISK-OFF) in base alla posizione del Ratio rispetto alla sua media mobile a 20 periodi, fungendo da memorandum operativo per le regole di divergenza.
Interruttore di Vista: Tramite il pannello delle impostazioni è possibile nascondere o mostrare la dashboard con un solo clic.
Consigli Operativi e Timeframe
Questo indicatore esprime il massimo delle sue performance se integrato in una logica di analisi ciclica e di flusso plurigiornaliera:
Timeframe d'elezione: 2 Ore (2H) per catturare oscillazioni e cicli operativi di 2-3 giorni.
Analisi Macro / Swing: Giornaliero (1D) per mappare i regimi di rischio strutturali di medio-lungo termine.
Nota tecnica: Si sconsiglia l'utilizzo sui timeframe rapidi a causa del rumore algoritmico generato dalle scadenze opzioni a brevissimo termine (0DTE) e della mancanza di calcolo del VIX spot durante le sessioni notturne.
Avvertenza Importante e Rischio Operativo
Nota Critica : Non utilizzare mai un singolo indicatore per prendere decisioni operative autonome. Contestualizza sempre ciò che l'indicatore suggerisce all'interno di un quadro di mercato più ampio e combinalo con altre tecniche di validazione (ad es. Price Action, Struttura di Mercato, Volume Profile o Order Flow). Nessun indicatore è infallibile e le divergenze intermarket rappresentano variazioni nelle probabilità, non certezze garantite. Indicator
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Difficulty per Issuance - PoW Pricing Model | Astral Vision Difficulty per Issuance - PoW Pricing Model | Astral Vision 🌠💠
This indicator derives a fundamental price floor for Bitcoin from the relationship between mining difficulty and coin issuance, using the proof-of-work mechanism itself as the pricing oracle. The core premise is that the difficulty of mining a block represents the aggregate computational and economic effort the network expends to produce Bitcoin, while the issuance represents what the network produces in return. The ratio between these two quantities, with a damping correction for the non-linear scaling of difficulty, produces a model price that reflects the cost of production in computational terms rather than in fiat currency.
Calculation ⚙️
The mining difficulty is smoothed with a configurable simple moving average to remove the noise from individual difficulty adjustments, which occur approximately every two weeks and can jump or drop abruptly. The smoothed difficulty is then raised to a configurable power k using the exponential of k times the natural log of difficulty, which is mathematically equivalent to difficulty^k. The exponent k is the damping coefficient: a value of 1.0 would mean difficulty scales linearly with the model price, but empirically the relationship is sub-linear, meaning that doubling difficulty does not double the cost per coin proportionally. Values around 0.4 have historically produced the tightest fit to Bitcoin's long-term price floor.
The issuance is computed as the daily block reward in BTC multiplied by 144 blocks per day, using the halving schedule to determine the correct subsidy at each point in history: 50 BTC per block before the first halving in November 2012, halving at each subsequent 210,000-block interval to 25, 12.5, 6.25, and 3.125 BTC. This daily issuance is summed over a configurable rolling window to smooth the effect of halving step-changes, which would otherwise create discontinuities in the model output. The base model price is then: a × difficulty^k / issuance sum, where a is a configurable scaling factor.
The upper band applies a dynamic multiplier to the base price that decays exponentially over time from a configurable starting year. The formula is: multiplier = floor + (start - floor) × exp(-decay rate × days elapsed). This produces a multiplier that begins at the start value and asymptotically approaches the floor value as Bitcoin ages, reflecting the empirically observed compression of the peak-to-floor ratio across successive market cycles. When the multiplier is high in early history, the upper band sits far above the base price, capturing the explosive cycle amplitude of early Bitcoin. As the multiplier decays toward the floor, the upper band converges toward the base price, consistent with diminishing cycle returns.
Plots 📊
Base model price line with glow effect: historical cost floor derived from difficulty and issuance
Upper band line with glow effect: base price multiplied by the time-decaying dynamic multiplier
Background color on the price chart when price is above the upper band or below the base line
Candle coloring on the price chart: positive color below base, negative color above upper band, neutral between the two
Inputs 🎛️
Scaling Factor a: calibrates the absolute level of the model price
Damping Coefficient k: controls the sub-linear scaling of difficulty in the model
Difficulty MA Length: smoothing window for the raw difficulty series
Issuance Sum Window: rolling sum window for the daily issuance, smoothing halving discontinuities
Upper Band Start Multiplier: initial multiplier applied to the base price for the upper band
Upper Band Floor Multiplier: asymptotic lower bound of the decaying multiplier
Decay Rate: speed of exponential decay of the upper band multiplier over time
Decay Start Year: reference year from which the decay timer begins
Colors 🎨
5 Astral Vision presets + custom override. Default: Hermes.
Purpose 🎯
Standard technical price floors such as moving averages or Fibonacci retracements are derived entirely from Bitcoin's own price history and have no connection to the physical cost of the network. This model derives its floor from the computational work required to produce coins, making it independent of price action and grounded in the thermodynamics of proof-of-work. Unlike fiat-denominated mining cost models that require electricity price assumptions, this model uses only on-chain data, making it objective and reproducible. The time-decaying upper band reflects the structural reality that each Bitcoin cycle has historically produced diminishing peak-to-floor ratios, calibrating the top reference to each cycle's expected amplitude rather than applying a fixed multiplier that becomes increasingly unrealistic as the market matures.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Indicator
DAILY OPEN LEVELS NCO X MALL THE MALL X NCO SYSTEM
**MALL X NCO** is a proprietary, custom-built trading framework designed to map institutional-grade price geometry onto your charts. Developed from scratch, this system automates session-open mechanics by combining volatility-based expansion zones with a strict mathematical price grid.
Here is how the two creator-designed engines work together:
### 1. The MALL Engine (Proprietary Volatility Expansion)
* **What it does:** It tracks real-time market expansion starting exactly at the session open.
* **How it helps you:** Instead of using lagging indicators, it calculates precision mathematical bands (\pm 1\text{SD}, \pm 2\text{SD}, \pm 3\text{SD}) based on the asset's active momentum.
* **The Goal:** It immediately highlights extreme overbought or oversold zones, marking the exact boundaries where the market is stretching too far.
### 2. The NCO Engine (Mathematical Price Grid)
* **What it does:** It instantly projects a fixed, percentage-based or point-based grid across the chart at the start of the session.
* **How it helps you:** It slices price action into clean, highly visible technical levels (e.g., +0.5\%, +1.0\%, -0.5\%).
* **The Goal:** It removes all guesswork by providing fixed, unemotional targets for Take Profit (TP) and Stop Loss (SL) based on clean numbers.
### 🎨 The Creator's "Elite Matrix" Interface
Built specifically to eliminate mental fatigue and emotional trading under heavy risk, the visual interface uses a highly intentional, clean design:
* **Pure White:** The absolute Session Open price—the unbreakable 0% benchmark.
* **Steel Gray Zones:** Normal market noise (\pm 1\text{SD}). The "hands-off" area to protect your capital.
* **Emerald Green & Neon Red:** High-contrast execution lines for snajper entries, profit-taking, or invalidation cuts.
### 🚀 Built For High-Risk Precision
* **Candle Close Native:** Designed specifically to align with **Candle Close Validation** rules—preventing fakeouts and live-bar trap chasing.
* **Real-Time HUD Dashboard:** A custom on-screen table tracking your exact distance from the open price and predicting the next algorithmic key levels.
* **Instant Alerts:** Automated alerts trigger the exact second a candle closes or tests any core MALL or NCO boundary.
> **The Blueprint:** Designed by traders, for traders. No retail fluff, no useless clutter—just pure, cold mathematical geometry.
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Custom Session Boundaries with Timezone SupportThis indicator draws two clean vertical lines on your chart — one marking the start of your selected trading session and one marking the end. No clutter, no extra lines between them. Just the two boundaries you care about.
It is designed for traders who want a clear visual reference of their session window directly on the chart, regardless of the timezone their broker or exchange uses.
Features:
Select your Start Hour and End Hour independently (0–23 format)
Full timezone support: UTC, New York, Chicago, London, Berlin, Bucharest, Tokyo, Singapore, Sydney
Separate color control for the start and end line
Choose between Solid, Dashed, or Dotted line style
Adjustable line width (1–4)
Works on all timeframes and all instruments
How to use:
Set your desired session start and end hour in the timezone that matches your setup. The indicator will place one vertical line at the opening of the start hour and one at the opening of the end hour, across your entire chart history.
Works well for marking sessions such as London Open, New York Open, Asian Session, or any custom time window relevant to your strategy. Indicator
XAU Grid - Long IndicatorXAU Grid — Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow between two fixed bounds. It tracks up to 48 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 5–50 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on range-bound assets where directional bias is unclear.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid emulation.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a low-volatility contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
🔷 Considerations Before Using the Indicator:
Market Selection: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends, the indicator will keep marking slots as owned as price moves away and won't free any until price reverses. Pick assets that respect a defined range, and re-tune High/Low whenever the regime changes.
Range Configuration: The default High/Low (4857.27 / 3568.69) was set against XAUTUSDT historical extremes. Update both bounds before deploying on any other asset — the Geometric spacing is sensitive to the bounds ratio.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment input. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics, use the companion strategy version on the same parameters.
🔷 How to Use It:
🔸 Add the indicator to a chart on the asset and timeframe you want to trade.
🔸 Set the High and Low bounds to a range you expect the asset to respect.
🔸 Pick Geometric (default, recommended for crypto and commodities) or Arithmetic spacing.
🔸 Set Grid Levels (5–50) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XAU).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 48, capped at 50).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
XAU Grid Bot - Long StrategyXAU Grid Bot — Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that operates between two fixed bounds and harvests volatility through repeated round-trips on a pre-defined ladder of price levels. Each level is an independent slot: when price crosses down through a level, the strategy buys one slot; when price crosses up through the level immediately above, that slot is closed for a fixed profit. The grid is generated geometrically by default (constant percent step), so the spacing adapts to the asset's scale.
- Up to 48 simultaneous long slots, each sized as a fixed fraction of the total investment.
- No trailing exit, no stop loss — the exit for each slot is the level above its entry, full stop.
- Risk is structurally capped by bounded total investment (default 20% of equity) — if all 48 slots fill, maximum exposure equals the configured investment and cannot exceed it.
🔷 Who is it for:
- Swing traders harvesting volatility on range-bound assets where directional bias is unclear.
- Traders who want a fully mechanical, no-judgment system that runs around the clock.
- Bot operators looking for a chart-driven signal source with per-level webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a low-drawdown contributor.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots that fall below their entry simply wait until price comes back. This is the canonical grid bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All 48 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead even at maximum density.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
🔷 Considerations Before Using the Strategy:
Market Selection: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends, the strategy will keep loading slots as price moves away and won't close any until price reverses. Pick assets that respect a defined range, and re-tune High/Low whenever the regime changes.
Range Configuration: The default High/Low (4857.27 / 3568.69) was set against XAUTUSDT historical extremes. Update both bounds before deploying on any other asset — the Geometric spacing is sensitive to the bounds ratio.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's risk is structurally capped by total Investment — at default settings, the maximum deployed capital across all 48 slots is 2,000 USDT = 20% of equity, and the bounded slot count prevents further drawdown beyond that. If price collapses far below the Low bound, that 20% is held at unrealized loss until recovery. Size the Investment input to match the maximum drawdown you are willing to absorb in a range-break scenario.
Trade Volume & Fees: Grid bots generate a high number of round-trips. At default settings, the backtest produced 556 closed trades in 13 months. Realistic commission and slippage are baked into the script; any mismatch with your exchange's actual fees will materially shift the results.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XAUTUSDT (Spot)
Timeframe: 15M
Test Period: Sept 1, 2025 — May 21, 2026 (~13 months)
Initial Capital: 10,000 USDT.
Order Size per Slot: Investment / Grid Levels (default 2,000 / 48 ≈ 41.67 USDT, ~0.42% of equity per slot).
Max Capital Deployed: 2,000 USDT (~20% of equity if all 48 slots fill).
Commission: 0.06% per trade.
Slippage: 5 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 4857.27 / Low 3568.69.
Grid Levels: 48 (Geometric spacing).
Stop Loss: None — bounded position size is the structural risk cap.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +101.99 USDT (+1.02%)
Max Equity Drawdown: 64.03 USDT (0.64%)
Total Closed Trades: 556
Percent Profitable: 67.27% (374 / 556)
Profit Factor: 2.267
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect the asset to respect. Pick Geometric for percent-spaced levels (default, recommended for crypto and commodities) or Arithmetic for linearly-spaced levels. Set Grid Levels (5–50) and Total Investment.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful (≥ 100 closed trades is a reasonable floor).
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The very highest level a slot can be created from.
Low Price: Bottom of the grid. The very lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 48, capped at 50).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Indicator
AMD Cycle Mapper [forexobroker]AMD Cycle Mapper maps the textbook smart-money day cycle: Accumulation (low-volatility consolidation), Manipulation (a sweep of the accumulation extreme that traps breakout traders), and Distribution (a displacement candle back through the range = the real move). The unique angle is a strict three-stage state machine that only arms after compression and a trap, then times entries on an EMA reclaim inside the confirmed distribution bias.
🔶 ALGORITHM
1. Accumulation: ATR must compress below Compression x ATR-avg (its 50-bar average); when idle and compressed, lock the accumulation range from the highest high / lowest low over the Accumulation Window.
2. Manipulation: a wick that pierces the locked range high (or low) by at least Min Sweep x ATR advances the state machine to manip-up or manip-down and records the manipulation bar.
3. Timeout: if distribution does not confirm within Manip->Distrib Max Bars of the manipulation, the cycle resets to idle.
4. Distribution: a displacement candle in the opposite direction with body >= Displacement x ATR that closes back through the range confirms distribution (down after a high sweep, up after a low sweep).
5. Persistent bias: confirmed distribution arms bias +1 / -1 until the opposite distribution fires.
6. Entry timing: within the active distribution bias, an EMA reclaim (ta.crossover / ta.crossunder of close vs the Entry Reclaim EMA) fires the trade. Displacement-Only Mode swaps this for the strict displacement bar; a fired signal resets the phase machine.
🔶 SIGNAL LOGIC
- Buy: distribution-up bias active (low swept during manipulation, then an up displacement >= Displacement x ATR) and close crosses over the Entry Reclaim EMA (or, in Displacement-Only Mode, the displacement bar), in session, position not already long, after the cooldown window, only on barstate.isconfirmed; position-lock flips to LONG and the phase resets.
- Sell: distribution-down bias active (high swept, then a down displacement) and close crosses under the Entry Reclaim EMA (or the displacement bar), in session, position not already short, cooldown elapsed, on barstate.isconfirmed; position-lock flips to SHORT and the phase resets.
Only fires when the full Accumulation -> Manipulation -> Distribution sequence has completed and set bias.
🔶 INPUTS
- Cycle: accumulation window for the consolidation range (default 20) and ATR length.
- Compression: range ATR must sit below Compression x ATR-avg (default 0.8x).
- Manipulation: minimum sweep pierce in ATR multiples (default 0.15x ATR) and manip-to-distribution max bars.
- Distribution: displacement body threshold in ATR multiples (default 1.0x ATR).
- Signal Logic: Entry Reclaim EMA length (default 9) and Displacement-Only Mode toggle (default off).
- Cooldown: minimum bars between signals (default 6).
- Filters: optional session restriction with a session window.
- Visual: accumulation box, dashboard, 3-layer glow, buy/sell colors, dashboard background.
🔶 ALERTS
ACM Buy, ACM Sell, ACM Any Signal, ACM Accumulation, ACM Manip High, ACM Manip Low, ACM Distrib Up, ACM Distrib Down, ACM Compression, ACM Cycle Reset, ACM Any Manip, ACM Any Distrib, ACM Webhook JSON.
🔶 LIMITATIONS
- Requires warm-up: the 50-bar ATR average and Accumulation Window must populate before any cycle can arm.
- The full three-stage sequence is demanding; in trending or choppy regimes the cycle frequently times out without a signal.
- Defaults are tuned for liquid instruments; compression, sweep, and displacement multiples may need tuning per market.
- Displacement-Only Mode is intentionally rare; the default EMA-reclaim regime mode trades more frequently.
- Non-repainting by design: the state machine and all signals confirm on bar close.
Indicator
Accumulation Distribution Wave [forexobroker]Accumulation Distribution Wave tracks the classic Accumulation/Distribution line and turns its slope into an accumulation-vs-distribution wave regime. It also watches for a regular price/A-D divergence that flags hidden exhaustion. The wave regime sets the bias and a reclaim-EMA cross times entries, optionally gated to bars that show a confirming divergence.
🔶 ALGORITHM
1. Money flow multiplier = ((close-low) - (high-close)) / range, in .
2. A/D line accumulates money-flow-multiplier * volume bar by bar.
3. Wave = A/D minus an EMA of A/D (A/D Wave EMA). Wave > Min Wave Slope = accumulation (+1), wave < -Min Wave Slope = distribution (-1).
4. Divergence: over the Divergence Lookback, price at a new high while A/D is not = bearish; price at a new low while A/D is not = bullish.
5. A reclaim EMA times the entry: a confirmed close-cross in the wave-regime direction triggers, optionally requiring a same-side divergence (Divergence-Only Mode).
6. Cooldown, bar-close confirmation and a position-lock finalise the signal so it never repaints intrabar.
🔶 SIGNAL LOGIC
- Buy: in-session AND wave regime = accumulation AND close crosses over the reclaim EMA AND (Divergence-Only off OR bullish divergence present) AND position not already long AND cooldown elapsed AND barstate.isconfirmed.
- Sell: in-session AND wave regime = distribution AND close crosses under the reclaim EMA AND (Divergence-Only off OR bearish divergence present) AND position not already short AND cooldown elapsed AND barstate.isconfirmed.
Only fires while the A/D wave regime is non-flat.
🔶 INPUTS
- A/D group: A/D Wave EMA; A/D minus this EMA defines the wave (default 21).
- A/D group: Divergence Lookback comparing price vs A/D extremes (default 20).
- A/D group: Min Wave Slope, an optional minimum absolute wave in A/D units (default 0.0).
- A/D group: ATR Length for the reference table (default 14).
- Signal Logic group: Entry Reclaim EMA whose close-cross times entries (default 9).
- Signal Logic group: Divergence-Only Mode and Cooldown Bars between signals (default 5).
- Filters group: optional session restriction with a configurable window (default off).
- Visual group: dashboard, 3-layer glow, reclaim-EMA plot and buy/sell colors (dashboard default on).
🔶 ALERTS
ADW Buy, ADW Sell, ADW Any Signal, ADW Accum On, ADW Distrib On, ADW Bull Div, ADW Bear Div, ADW EMA Up, ADW EMA Down, ADW Wave Zero, ADW Any Div, ADW Regime Flip, ADW Webhook JSON.
🔶 LIMITATIONS
- The A/D line is a running cumulative sum, so absolute values depend on chart history length and warm-up.
- Volume-based, so it requires a real volume feed; on forex it falls back to broker tick-volume, which is a proxy only.
- Money-flow-multiplier signing is an estimate of accumulation, not true bid/ask delta.
- Divergence detection uses lookback extremes and can lag at sharp turns.
- Defaults are tuned for liquid instruments; thin symbols may need a longer wave EMA. Indicator
Strategy
Previous Day Levels PRO v1.2Crypto Sessions V1.7 is an advanced ICT-style session and liquidity indicator built for crypto traders who want clear session structure, volatility timing, and entry confirmation in one tool. It highlights the Asia, London, and New York sessions while automatically plotting key liquidity levels, volatility windows, Silver Bullet setups, Fibonacci retracement zones, and entry confirmations.
It is designed to help you track where liquidity builds, where sweeps happen, and where high probability reversals or continuations form during active market hours.
Key Features
• Asia, London, and New York session boxes
• Asia High, Asia Low, and Asia Mid levels
• Automatic Fibonacci retracement levels
• 0.618 to 0.705 Golden Zone
• Volatility windows for London and New York
• ICT Silver Bullet windows
• Liquidity sweep detection
• BOS confirmation signals
• BUY and SELL entry labels
• Judas Swing detection
• Full colour and opacity customisation
How to Use Crypto Sessions V1.7
1. Mark the Asia Range
Use the Asia session box and Asia High/Low levels as your primary liquidity reference.
The Asia range acts as the overnight accumulation zone. Price often sweeps one side of this range before reversing during London or New York volatility.
2. Wait for a Liquidity Sweep
Look for price to take the Asia High or Asia Low.
Bullish setup:
• Price sweeps Asia Low
• Candle closes back above the level
Bearish setup:
• Price sweeps Asia High
• Candle closes back below the level
The indicator marks these automatically with sweep signals.
3. Confirm BOS
After the sweep, wait for BOS confirmation.
Bullish BOS:
• Price closes above previous candle high
Bearish BOS:
• Price closes below previous candle low
This confirms market structure shift and momentum.
4. Use the Golden Zone for Entries
The automatic Fibonacci retracement plots:
• 50%
• 0.618
• 0.705
The 0.618 to 0.705 area forms the Golden Zone.
Wait for price to retrace into this zone after BOS confirmation. This gives higher probability entries with tighter risk.
5. Trade During Volatility Windows
The best setups form during:
• London volatility window
• New York volatility window
• Silver Bullet windows
Avoid taking signals during low volatility periods.
How to Use It in Conjunction with Your Previous High and Low Indicator
Your Previous High and Low indicator gives higher timeframe liquidity targets.
Combine them like this:
Bullish Example
• Daily Low gets swept
• Price enters London volatility window
• Asia Low gets swept
• Bullish Judas or BOS forms
• Enter from Golden Zone retracement
• Target Previous Day High
Bearish Example
• Daily High gets swept
• Price enters New York volatility window
• Asia High gets swept
• Bearish BOS forms
• Enter from Golden Zone retracement
• Target Previous Day Low
Best Workflow
Higher timeframe:
• Previous Day High/Low
• Weekly High/Low
• Overall bias
Intraday execution:
• Asia sweep
• BOS confirmation
• Golden Zone retracement
• Volatility window timing
Best Timeframes
• Bias: 1H to 4H
• Execution: 1M to 15M
• Best balance: 5M
Best Markets
• BTCUSD
• ETHUSD
• NASDAQ
• Gold
• GBPUSD
• EURUSD
Suggested Trading Rules
• Trade only during volatility windows
• Avoid ranging conditions
• Wait for sweep first
• Confirm BOS before entry
• Use Golden Zone retracement
• Target opposing liquidity Indicator
Crypto Sessions V1.7 Crypto Sessions V1.7 is a complete session trading toolkit built for forex, crypto, indices, and gold traders who trade around key market sessions and liquidity movements.
It highlights the major trading sessions directly on your chart, tracks session highs and lows, plots previous day levels, and includes advanced tools like Fibonacci Golden Zones and custom session controls.
For the best experience, use Crypto Sessions V1.7 together with the D20Trades Previous Day Levels indicator to build a complete liquidity-based trading system.
Features
• Asia Session Box
• London Session Box
• New York Session Box
• Customisable session colours and opacity
• Session high and low levels
• Previous Day High and Previous Day Low integration
• Daily Open line
• Fibonacci Golden Zone extension
• Multi-timeframe support
• Day filtering options
• Session labels
• Full customisation controls
• Clean chart layout designed for active traders
How To Use
1. Session Trading
Use the session boxes to identify where liquidity builds during the trading day.
The Asia session often creates the range. London and New York commonly provide the breakout and expansion moves.
Watch for:
• Liquidity sweeps above session highs
• Liquidity sweeps below session lows
• Breakouts from consolidation
• Rejections from session extremes
2. Use With D20Trades Previous Day Levels
Crypto Sessions V1.7 works best when combined with the D20Trades Previous Day Levels indicator.
The Previous Day High, Previous Day Low, and Daily Open are major liquidity zones where price often reacts.
Use both indicators together to identify:
• Liquidity targets
• Market direction
• Session manipulation
• High-probability reversals
• Breakout continuation setups
Example workflow:
• Mark Previous Day High and Low
• Wait for London or New York session expansion
• Watch for liquidity sweep or rejection
• Enter after market structure confirmation
3. Fibonacci Golden Zone
The built-in Golden Zone helps identify premium and discount retracement areas.
Use the Golden Zone after:
• Strong impulsive moves
• Session breakouts
• Liquidity grabs
Look for confirmation such as:
• Market Structure Shift
• Candle rejection
• Order block reaction
• Fair Value Gap entries
4. Multi-Timeframe Analysis
The indicator works across all timeframes.
Recommended usage:
• Higher timeframes for directional bias
• Lower timeframes for execution and entries
Best combinations:
• H1 for structure
• M15 for setup formation
• M5 for execution
Best Markets
• Forex
• Crypto
• Gold
• Indices
Best Trading Times
• London Open
• New York Open
• London and New York overlap
Tips
• Combine session highs and lows with previous day liquidity levels
• Wait for confirmation before entering trades
• Use stop losses beyond liquidity zones
• Avoid trading during low volatility conditions
Crypto Sessions V1.7 was created to help traders simplify session analysis and focus on high-probability trading opportunities using liquidity, session timing, and smart money concepts.
Indicator
Stoch RSI Golden Cross | Astral Vision Stoch RSI Golden Cross | Astral Vision 🌠💠
This indicator applies a Stochastic RSI computed on a fixed 5-day timeframe, using deliberately long lookback periods that filter out short-term noise and produce a slowly-turning oscillator oriented toward identifying major cycle inflection points rather than frequent trading signals. Crossovers between the K and D lines are only considered valid when they occur within the oversold or overbought zones, ensuring that signals correspond to genuine momentum reversals from extreme positioning rather than midrange noise crosses.
Calculation ⚙️
The RSI is computed over 121 periods on the 5-day timeframe. The Stochastic of that RSI is then computed over 144 periods, measuring where the current RSI value sits within its highest-to-lowest range over the past 144 bars. This raw Stochastic is smoothed with a 33-period simple moving average to produce the K line. A second 25-period simple moving average is then applied to K to produce the D signal line.
The use of a 5-day timeframe with these long periods means each bar represents one trading week, and the full K lookback of 144 bars covers approximately 2.75 years of weekly data. This makes the oscillator insensitive to anything shorter than multi-month momentum shifts, functioning as a macro cycle tool rather than a swing trading indicator.
A bullish golden cross signal fires when K crosses above D while both lines are below the oversold threshold (default 10), meaning the crossover occurs from a position of statistically extreme pessimism. A bearish cross signal fires when K crosses below D while both lines are above the overbought threshold (default 80), meaning the crossover occurs from a position of statistically extreme optimism. Crosses that occur in the neutral zone between the two thresholds are ignored entirely.
Each valid signal draws a vertical line with a four-layer glow effect on the price chart, marking the exact bar at which the signal occurred and extending across the full chart height for maximum visibility.
Plots 📊
K line in the sub-panel
D signal line in the sub-panel
Oversold threshold line at 10
Overbought threshold line at 80
Glow vertical lines on the price chart at each valid bullish cross
Glow vertical lines on the price chart at each valid bearish cross (toggleable)
Inputs 🎛️
Show Only Bullish Golden Cross: toggle to hide bearish cross signals and show only bullish ones
Colors 🎨
5 Astral Vision presets + custom override. Default: Inferno.
Purpose 🎯
A standard Stochastic RSI with default parameters (14/14/3/3) generates dozens of signals per year, most of which are noise on a macro timeframe. This implementation uses a 5-day bar combined with extended lookback periods to reduce the signal count to a handful per multi-year cycle, corresponding only to the deepest oversold recoveries and most extreme overbought reversals. The zone filter adds a second condition that eliminates all midrange crosses, further concentrating the signal set on statistically meaningful structural turning points. The result is an indicator designed to fire rarely and only at potentially significant macro inflection points rather than as a continuous trading signal generator.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Indicator
Giovanni's Power Law Model | Astral Vision Giovanni's Power Law Model | Astral Vision 🌠💠
This indicator implements the Bitcoin Power Law model as formalized by physicist Giovanni Santostasi, which models Bitcoin's long-term price trajectory as a power function of the number of days elapsed since the genesis block. Unlike standard log-linear regression applied directly to price, this implementation uses a configurable root transformation of price before fitting, which allows the user to explore how the statistical quality of the power law relationship changes depending on which power of price is used as the dependent variable.
Calculation ⚙️
The number of days elapsed since the genesis block (January 3, 2009) is computed for each bar. Both the day count and price are transformed logarithmically: the X variable is log(days), and the Y variable is log(price^(1/k)), where k is a configurable integer exponent. This is equivalent to fitting the relationship log(price) = k × (slope × log(days) + intercept), meaning the model regresses log(price^(1/k)) against log(days) and then raises the result to the power k to recover the price-scale fit.
The regression is computed from scratch using ordinary least squares via cumulative sums of X, Y, XY, X², and Y² accumulated across all valid historical bars, then solved analytically at each bar using the standard OLS closed-form solution: slope = (n × ΣXY − ΣX × ΣY) / (n × ΣX² − (ΣX)²) and intercept = (ΣY − slope × ΣX) / n. This produces a true full-history regression that updates on every bar as new data is added, without any approximation.
The fitted price at each bar is: fitPrice = exp(intercept + slope × log(days))^k. Upper and lower bands are then derived by multiplying or dividing the fitted price by configurable band multipliers raised to the power k, ensuring the bands maintain consistent proportional spacing in the transformed space rather than in raw price terms. The R² coefficient of determination is computed at the last bar by comparing the explained variance of the regression against the total variance of the Y variable, quantifying how well the power law model fits the full historical data.
Plots 📊
Central power law regression line in neutral color
Two upper bands with fill between them, colored with the positive theme color
Two lower bands with fill between them, colored with the negative theme color
Table displaying the current k exponent and the R² goodness-of-fit statistic
Inputs 🎛️
K Exponent: the root applied to price before regression, between 1 and 7; higher values compress the price scale more aggressively
Upper Band 2 and Upper Band 3: multipliers for the two upper bands
Lower Band 2 and Lower Band 3: multipliers for the two lower bands
Colors 🎨
5 Astral Vision presets + custom override. Default: Hermes.
Purpose 🎯
Standard log-linear regression on Bitcoin price assumes a fixed exponential relationship between time and price. Giovanni Santostasi's formulation derives the power law from first principles of network science and thermodynamics, arguing that Bitcoin's adoption follows the same scaling laws observed in physical and biological systems. The configurable k parameter allows direct exploration of which root transformation produces the tightest regression, with the displayed R² providing an objective statistical measure of fit quality rather than a visual approximation. The OLS computation across the full price history from genesis makes the fitted line anchored to the entire dataset rather than to a recent window, producing a structurally stable long-term reference.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Indicator
Indicator
