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
Bitcoin 1-Year Running ROI Risk MetricOverview
The Bitcoin 1-Year Running ROI Risk Metric is a macro-analysis oscillator designed to evaluate the current stage of Bitcoin's market cycle. By analyzing the 1-year rolling Return on Investment (ROI) and applying regression models to historical peaks and troughs, it translates raw market data into a normalized Risk score ranging from 0 to 1.
How it Works
Historically, due to the law of diminishing returns, Bitcoin's cycle peaks yield a progressively lower ROI each macro cycle. This indicator accounts for this phenomenon by fitting bounding regression curves to historical cycle extremes.
The script calculates the natural logarithm of the 1-year ROI. It then normalizes this value between a fitted bottom line (representing historical bear market bottoms) and a fitted top line (representing historical bull market peaks).
A Risk value near 0 (or inside the Buy Zone) indicates historical bear market lows, representing minimal macro risk and potential accumulation zones.
A Risk value near 1 (or inside the Sell Zone) suggests the market is approaching the historical limits of diminishing returns, indicating maximum macro risk and potential cycle tops.
Settings & Customization
Users can customize the indicator's behavior and visuals through the settings menu:
Top Line: Select the mathematical model used for the upper boundary of the market cycle. Choose between a Log Fit (logarithmic regression, which best captures all historical tops) or a Linear Fit (a more conservative straight line that excludes the 2011 peak).
View: Switch between the Normalized mode (displays the Risk metric as a clean 0 to 1 oscillator) and the Fit Lines mode (displays the raw logarithmic ROI values along with the upper, middle, and lower regression bands).
Sell / Buy Zone Levels: Adjust the thresholds that define the extreme risk areas. By default, the Sell Zone starts at 0.90 and the Buy Zone at 0.10. These values dictate when the oscillator and the main chart price line change colors.
Plot on the Main Pane: A simple toggle to turn the colored price line overlay on your main chart on or off.
💡 Visualization Tip
The script projects a colored price line directly onto your main chart (Green for Buy Zone, Red for Sell Zone).
To see this colored indicator line clearly without visual clutter, you can hide the standard Bitcoin price candles using the chart's object tree or settings.
Conversely, if you prefer a clean main chart and only want to view the risk oscillator in the lower pane, simply uncheck the "Plot on the Main Pane" option in the indicator's settings.
Limitations & Disclaimers
Please keep the following points in mind when using this tool:
Asset Specific: This indicator is strictly designed for Bitcoin. It internally fetches data using the INDEX:BTCUSD ticker. While you can load it on any other asset's chart, the oscillator in the lower pane will always display Bitcoin's data.
Timeframe Dependency: Although the indicator will calculate on any timeframe, it is highly recommended to use the Weekly (1W) chart. The regression curve fitting was performed using weekly closes. On other timeframes, the regression boundaries may not align perfectly with the exact global tops and bottoms.
Hardcoded Coefficients: The curve fitting was calculated based on Bitcoin's global tops and bottoms up to the year 2023. The resulting mathematical coefficients are hardcoded into the script. Future macro cycles may require a new approximation and an update to these coefficients.
Linear Fit Outlier: If you select the "Linear Fit" option for the Top Line in the settings, note that this model intentionally ignores the 2011 global top, treating it as a statistical outlier. This linear boundary is guaranteed to be broken by future price action, but it can serve as a "conservative" macro target in the meantime.
No Guarantees: There is no guarantee that Bitcoin's price or ROI will reach the upper or lower boundaries in the future, nor is it guaranteed to remain within them. This indicator is for educational and macro-analysis purposes only and does not constitute financial advice.
Indicator
PSP zones with validationThis indicator implements a structured cross-asset correlation signal model (PSP — Price Structure Parity) combined with dynamic zone-based market representation and invalidation logic.
Unlike traditional correlation tools that only compare directional candle agreement between two assets, this script transforms correlation events into actionable market zones, while also managing their lifecycle through objective invalidation rules.
🔍 Core Concept
PSP (Price Structure Parity) identifies situations where:
The current asset shows a bullish candle while the reference asset is bearish, or vice versa (direct mode)
Or both assets move in the same direction under inverse correlation logic
These conditions highlight temporary structural dislocations between correlated instruments, often driven by liquidity imbalance or delayed price response.
🧠 How It Works
1. Cross-Asset Structure Comparison
The script compares:
Current chart candles
Reference symbol candles (user-defined)
It evaluates directional alignment or divergence depending on selected mode:
Direct correlation mode
Inverse correlation mode
2. PSP Signal Generation
A PSP event is triggered when a structural mismatch occurs between the two assets based on candle direction.
Signals are classified into:
Bullish PSP
Bearish PSP
3. Zone Construction (Key Feature)
Instead of simply coloring candles, each PSP event generates a price zone, representing:
The full body range of the signal candle
A contextual imbalance area where correlation deviation occurred
Zones remain active on the chart and provide a visual representation of where structural inefficiencies were identified.
4. Invalidation Mechanism
Each zone has a lifecycle and is automatically removed when invalidated:
Bullish zones are invalidated when price closes below the zone
Bearish zones are invalidated when price closes above the zone
This ensures only active and relevant market structures remain visible, eliminating visual noise and outdated signals.
📊 Key Features
Cross-asset correlation detection (PSP model)
Direct and inverse correlation modes
Zone-based visualization instead of single-bar signals
Automatic invalidation of broken structures
Clean and low-noise chart output
Suitable for multi-asset analysis
⚙️ Inputs
Reference Symbol – asset used for correlation comparison
Inverse Correlation Mode – flips correlation logic
Color Theme Selector – customizable visual styles
Opacity Control – zone transparency adjustment
🧭 How to Use
This indicator is best applied in:
Correlated crypto pairs (e.g., BTC/ETH, BTC/ALTS)
Index vs single asset analysis
Liquidity divergence identification
Typical workflow:
Wait for PSP zone creation
Observe price reaction inside the zone
Monitor invalidation level for structural confirmation
Use zones as context for entries or confirmations
⚠️ Notes
This indicator does not repaint historical PSP zones
Signals are based on closed candle structure
Best results occur when used with correlated liquid assets
🇷🇺 Description (RU — дополнительный перевод)
Этот индикатор реализует модель корреляционных структур PSP (Price Structure Parity) и превращает расхождения между активами в торговые зоны ликвидности.
В отличие от стандартных индикаторов корреляции, он не просто сравнивает направление свечей, а формирует:
структурные зоны дисбаланса
визуальные области интереса
автоматическую инвалидацию сломанных структур
🧠 Логика работы
Индикатор сравнивает:
свечи текущего графика
свечи выбранного референс-актива
При выявлении расхождения формируется PSP-сигнал:
бычий
медвежий
📊 Зоны
Каждый сигнал превращается в зону (box), которая показывает:
область структурного дисбаланса
потенциальную зону реакции цены
❌ Инвалидация
Зона удаляется при:
пробое вниз (для бычьей зоны)
пробое вверх (для медвежьей зоны)
🎯 Применение
Лучше всего работает:
на криптовалютах с высокой корреляцией
в анализе BTC vs альткоины
при поиске реакций от дисбаланса Indicator
Liquidity sweep divergence (SMT) This script implements a refined version of SMT (Smart Money Technique) divergence, focused specifically on liquidity sweeps between correlated assets rather than simple structural divergence.
Use it on one market:
FOREX: EURUSD + DXY (or GBPUSD + DXY)
CRYPTO: BTC+ETH (BTC + TOTAL3, ETH + TOTAL3)
INDICES: ES + NQ
COMMODITIVES: XAU + XAG (GOLD+SILVER)
Unlike traditional SMT indicators that rely on comparing consecutive swing highs/lows (HH/LL logic), this script detects true liquidity events, where one asset takes liquidity (sweeps a previous swing) while the other fails to do so.
🔍 Core Concept
SMT divergence in this script is defined as:
Bearish SMT
The main chart sweeps a previous swing high (liquidity taken)
The second asset fails to sweep its corresponding swing high
Bullish SMT
The main chart sweeps a previous swing low
The second asset fails to do the same
This reflects asymmetry in liquidity behavior, often interpreted as a sign of weakening trend continuation and potential reversal.
⚙️ How It Works
The script uses:
1. Pivot-based swing detection
Uses confirmed pivots (ta.pivothigh / ta.pivotlow)
Eliminates noise and repaint issues from naive fractal logic
2. Cross-asset synchronization
Swings between assets are matched using a configurable bar offset tolerance
Ensures meaningful comparison between structurally aligned points
3. Liquidity sweep detection
Detects when price:
Breaks a previous swing level (high/low)
Optionally closes back inside (ICT-style wick sweep)
4. Signal filtering
To reduce false SMT signals, the script includes:
ATR-based minimum move filter
Optional wick confirmation (true liquidity grab)
No multi-swing brute-force scanning (only relevant structure is used)
🎯 What Makes This Script Unique
Focuses on liquidity sweeps, not just HH/LL divergence
Avoids common SMT noise from weak structural comparisons
Uses minimal and efficient logic (O(1)), no heavy loops
Produces clean and trade-relevant signals, not visual clutter
Designed with algorithmic trading compatibility in mind
📊 Visual Features
Clean SMT labels (Bullish / Bearish)
Optional connecting lines showing the sweep move
Background highlighting for quick contextual awareness
Transparent styling to avoid chart obstruction
⚙️ Inputs
Second Asset – symbol used for SMT comparison
Pivot Length – controls swing sensitivity
Max Sync Offset – allowed mismatch between swing points (in bars)
Wick Sweep Filter – require close back inside level (ICT-style)
ATR Filter – minimum sweep strength
Show Lines – toggle visual connections
🧠 How to Use
This indicator is best used in:
Reversal zones
Liquidity pools (equal highs/lows, prior highs/lows)
Session highs/lows (London / NY)
Typical workflow:
Identify SMT signal
Wait for confirmation:
Break of structure (BOS)
Displacement move
Execute entry in direction of SMT
⚠️ Notes
Signals appear at the moment of liquidity sweep, not at pivot formation
This script is non-repainting, as it uses confirmed pivots
SMT is not a standalone strategy — use with market structure
🌍 Дополнительно (RU — для твоей аудитории)
Этот индикатор реализует правильный SMT, основанный не на HH/LL, а на снятии ликвидности.
Ключевая идея:
Один актив забирает ликвидность (пробивает свинг)
Второй — нет
→ это и есть настоящий SMT
В отличие от большинства индикаторов:
нет мусорных сигналов
нет перебора всех свингов
используется только актуальная структура
Лучше всего работает:
на хаях/лоу сессий
на уровнях ликвидности
в связке с BOS / FVG Indicator
SmartFlow Position SizerSmartFlow Position Sizer automatically calculates your lot size based on account balance, risk percentage, and stop loss distance. Just click twice — Entry and SL — and let the math do the work. No spreadsheets. No guessing. Trade with discipline.
═══════════════════════════════════════
█ WHAT IT DOES
This indicator solves the most common mistake in trading: incorrect position sizing .
You set your account balance and risk %. Then click your Entry and Stop Loss directly on the chart. The indicator instantly calculates:
Lot size — based on your risk tolerance and SL distance
Take Profit — auto-calculated from your R:R ratio
P&L in USD — expected profit and max loss displayed
ATR volatility — current vs average ATR to gauge market conditions
Long/Short auto-detection — determined by Entry vs SL position
═══════════════════════════════════════
█ HOW TO USE
Step 1 — Add the indicator to your chart
Step 2 — Click on the chart to set your Entry Price (1st click)
Step 3 — Click again to set your Stop Loss (2nd click)
That's it. The table and SL/TP zones appear immediately.
Drag the Entry or SL line to adjust — all calculations update in real time
Change R:R ratio in settings to move the TP level
Long or Short is detected automatically — no manual selection needed
Works in future (empty) chart areas — plan trades before price arrives
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█ TABLE DISPLAY
The on-chart table shows everything at a glance:
ATR — current ATR value with period
ATR Avg — average ATR for volatility comparison
Vol Ratio — current ATR / average ATR (orange when elevated)
Balance — your account balance in USD
Risk % — max loss percentage per trade
Entry — entry price with LONG/SHORT label
Lot — calculated position size
R:R — risk-to-reward ratio
TP — take profit price and expected profit in USD
SL — stop loss price and max loss in USD
═══════════════════════════════════════
█ VISUAL ZONES
White line — Entry price
Red zone — SL area (loss zone) with dollar amount on label
Green zone — TP area (profit zone) with dollar amount on label
Zones are drawn between your click positions, not fixed to the latest bar. This means you can place Entry and SL anywhere on the chart — including future empty areas — to plan trades visually before price arrives.
═══════════════════════════════════════
█ LOT CALCULATION FORMULA
Lot = (Balance × Risk%) / (SL Distance × Contract Size)
Example: $10,000 balance, 2% risk, SL distance = $20, contract size = 100
→ Lot = ($10,000 × 0.02) / ($20 × 100) = 0.10 lots
The result is rounded down to the nearest 0.01 to avoid exceeding your risk limit.
═══════════════════════════════════════
█ SETTINGS
Account Settings
Balance (USD) — Your account balance. Default: 10,000
Risk per Trade (%) — Max loss per trade. Default: 2%
Contract Size (per Lot) — MT5 contract size. XAUUSD = 100. Adjust for your broker
Take Profit
R:R Ratio — TP is calculated as SL distance × this value. Default: 1.5
ATR Volatility
ATR Period — Default: 14
ATR Average Period — For comparing current volatility vs average. Default: 50
Display
Table position (4 corners), text size, SL/TP zone toggle
═══════════════════════════════════════
█ NOTES
Works on any instrument — Gold, Forex, Crypto, Indices
Designed for MT5/MT4 lot sizing — adjust Contract Size for your broker
ATR volatility ratio turns orange when current ATR exceeds 1.5x the average — a visual warning that volatility is elevated
All calculations use USD-denominated accounts
Drawing positions use time-based coordinates, enabling placement in future chart areas
Indicator
SmartFlow SMCThis indicator provides automated market structure analysis
based on Smart Money Concepts (SMC). It identifies structural
breaks, liquidity levels, and session timing using confirmed-
candle logic to eliminate repainting.
█ METHODOLOGY
Market Structure Detection (BoS / MSS)
The script uses pivot-based swing detection with a configurable
lookback period. Swing highs and lows are identified using
ta.pivothigh() and ta.pivotlow() , then tracked
to maintain structural history.
Break of Structure (BoS) is detected when a confirmed
candle's body (close ) exceeds the current swing target level
in the direction of the existing trend. This indicates trend
continuation.
Market Structure Shift (MSS) is detected when a confirmed
candle's body breaks the key pullback level against the existing
trend — the interim low in an uptrend or interim high in a
downtrend. This signals a potential trend reversal.
All detections use the previous closed bar , not the
current forming bar, ensuring signals do not repaint.
After a BoS is confirmed, the script tracks the highest high
(in uptrends) or lowest low (in downtrends) in real-time using
tracking variables. This compensates for the inherent delay in
pivot detection, so the BoS target level reflects actual price
extremes even before the next pivot formally confirms.
MSS Candidate Line
A dashed line drawn at the level where a trend reversal would
occur if broken. In an uptrend, this is the most recent pivot
low. In a downtrend, it is the most recent pivot high. This
provides advance visibility of where a structural shift would
trigger.
BoS Target Line
A dashed line showing the next level price needs to break for
trend continuation. Updates in real-time using both confirmed
pivots and tracked extremes.
█ LIQUIDITY DETECTION
Equal Highs / Equal Lows (EQH / EQL)
When two consecutive pivot highs (or lows) form within a
configurable tolerance percentage, they are marked as equal
levels. These represent clustered liquidity where stop orders
tend to accumulate — above for EQH (buy-side), below for EQL
(sell-side).
Buy Side / Sell Side Liquidity (BSL / SSL)
The most recent pivot high is marked as BSL, the most recent
pivot low as SSL. Only the latest level for each side is
displayed to maintain chart clarity.
Sweep Detection
A Sweep occurs when price wicks beyond a pivot level but the
candle body closes back inside. For a bullish sweep (SSL sweep),
the bar's low penetrates below the pivot low while both open and
close remain above it. This pattern indicates a liquidity grab
— price triggered stops below the level and reversed, suggesting
institutional accumulation. Bearish sweeps work inversely.
█ EMA 200
A 200-period Exponential Moving Average provides directional
bias context. The EMA line changes color based on whether
price is above (cyan, bullish bias) or below (red, bearish
bias). The info panel displays the EMA relationship as an
additional confluence filter.
When structure direction and EMA200 bias conflict (e.g.,
bullish structure but price below EMA200), the setup carries
lower confluence. When both align, the signal is stronger.
█ SESSION HIGHLIGHTING
Trading sessions are displayed as small colored squares at the
bottom of the chart:
Tokyo (09:00–15:00)
London (16:00–21:00)
New York (21:00–02:00)
Session times are adjustable and timezone-aware. This non-
intrusive display helps identify which session produced each
structural break.
█ INFO PANEL
A real-time table in the top-right corner displays:
Bias (Long/Short based on structure direction)
EMA200 position (Above/Below)
Current active session
Structure direction (Bullish/Bearish)
Swing Lookback value in use
█ WHAT MAKES THIS ORIGINAL
This indicator combines several concepts into a unified
structure-reading system:
1 — Hybrid pivot + tracking approach: After a pivot confirms,
the script continues tracking real-time highs/lows to compensate
for pivot detection delay. This is not standard in most SMC
indicators, which rely solely on pivot confirmation.
2 — Confirmed-candle logic throughout: All BoS, MSS, and Sweep
detections use close , ensuring zero repainting.
3 — MSS candidate + BoS target as live projection lines:
Rather than only marking historical events, the script projects
forward where the next structural break or reversal would occur.
4 — Sweep as a distinct event: Most SMC indicators treat sweeps
as part of BoS/CHoCH logic. This script separates sweep
detection (wick-based liquidity grab) from structural breaks
(body-based), allowing traders to distinguish between the two.
█ SETTINGS
Swing Lookback — Number of bars left and right to confirm
a pivot point. Lower values (3–4) detect more frequent swings.
Higher values (6–10) detect only major structure. Adjust based
on timeframe and instrument.
EQH/EQL Tolerance — Maximum percentage difference between
two pivot highs (or lows) for them to count as "equal."
Default: 0.05%.
Session Timezone — Adjusts session highlighting. Options:
Asia/Tokyo, Asia/Shanghai, UTC, America/New_York, Europe/London.
All visual elements (colors, visibility toggles) are individually
configurable in the settings panel.
█ USAGE NOTES
Works on any instrument (Forex, Commodities, Crypto, Indices)
Works on any timeframe — adjust Swing Lookback accordingly
BoS and MSS labels appear one bar after the signal bar
Designed as an overlay indicator — apply directly to chart
Indicator
Indicator
Indicator
Hash Auto Fibonacci## Overview
Hash Auto Fibonacci eliminates the most time-consuming part of Fibonacci trading — drawing the levels yourself. Drop it on any chart and it automatically detects the most recent significant swing high and swing low, then instantly draws a complete Fibonacci retracement web anchored to those pivots. No manual drawing, no subjectivity, no missed setups.
Built for active traders who use Fibonacci as a core part of their strategy, this tool is engineered to keep up with fast-moving markets through a volatility-adaptive detection engine, a highlighted Golden Pocket zone, a built-in stop-loss reference, and optional multi-timeframe confirmation.
## Key Features
**Automatic Swing Detection**
The indicator uses a pivot-based algorithm to identify swing highs and lows in real time. A pink dot marks the swing high and a green dot marks the swing low on the chart — always showing only the current active pair, never cluttering your screen with historical markers.
**Dynamic Lookback Engine**
Rather than using a fixed lookback period, Hash Auto Fibonacci automatically adjusts its sensitivity based on current market volatility. During high-volatility conditions (fast trending moves, breakouts), the lookback shortens to detect swings quickly. During low-volatility conditions (consolidation, ranging markets), it lengthens to filter out noise and identify only meaningful pivots. This is calculated using the ratio of a 50-period ATR to a 10-period ATR, scaled by a user-adjustable multiplier. You can also switch to a fixed manual lookback at any time.
**Fibonacci Retracement Levels**
The following retracement levels are drawn automatically:
- 0 (swing high anchor)
- 0.236
- 0.382
- 0.5
- 0.618
- 0.65
- 0.786
- 1.0 (swing low anchor)
Optional extension levels (1.272, 1.618, 2.618) can be enabled for targets beyond the swing low.
**The Golden Pocket Zone**
The 0.618–0.65 confluence zone is highlighted as a gradient-filled amber band directly on the chart. This region — known as the Golden Pocket — is widely regarded as the highest-probability reversal zone within any Fibonacci retracement. The zone enforces an ATR-based minimum thickness so it remains visible even on assets with small absolute price ranges.
**ATR Stop-Loss Reference**
A dashed red line is automatically drawn below the swing low (bullish setup) or above the swing high (bearish setup) at a distance of 2× ATR-10. This gives a data-driven starting point for your stop-loss placement without requiring a separate indicator.
**Multi-Timeframe Confirmation**
When the current chart's swing pivot aligns within 0.5% of a confirmed pivot on a higher timeframe (default: 4H), the entire Fibonacci web is visually upgraded — lines become bolder, a confirmation badge appears, and an alert can be triggered. MTF-confirmed webs represent structurally significant levels that multiple timeframes agree on, which historically carry more weight as support and resistance.
**Direction Detection**
The indicator automatically determines whether the current setup is bullish (retracing upward from a low) or bearish (retracing downward from a high) by comparing which pivot — the high or the low — was confirmed most recently. You can override this manually if needed.
**Info Dashboard**
A clean navy dashboard in the corner of your chart displays:
- Current swing high and swing low prices
- 0.5 and 0.618 Fibonacci levels
- Golden Pocket price range
- Suggested ATR-based stop-loss price
- Active lookback period (and whether it's dynamic or manual)
---
## How To Use
**Basic setup**
Add the indicator to any chart. It works on all timeframes and all assets — crypto, stocks, forex, futures. The Fibonacci web draws automatically. The Golden Pocket zone is the primary area to watch for price reactions.
**Reading the chart**
- Price pulling back into the Golden Pocket (0.618–0.65 zone) in a bullish setup is the classic high-probability long entry zone
- Price rejecting from the Golden Pocket in a bearish setup is a potential short entry or profit-taking zone
- The 0.5 level acts as the midpoint — a close above (bullish) or below (bearish) confirms continuation of the retracement
- The 0.786 level is deep — a sweep past this level often signals the retracement is becoming a full reversal
**Using the stop-loss line**
The dashed red SL line is a reference, not a guaranteed stop placement. Use it as a starting point and adjust to your own risk tolerance. On volatile assets, consider placing your stop slightly beyond it to avoid wicks triggering your exit prematurely.
**Multi-timeframe confirmation**
When the ◆ MTF badge appears, the swing that anchors the current web also exists on the higher timeframe. These setups tend to produce cleaner reactions at Fibonacci levels because they represent areas where both short-term and institutional timeframe participants are watching the same price zone.
**Alerts**
Five alert conditions are available:
- New swing high detected
- New swing low detected
- MTF confirmation active
- Price entering the Golden Pocket
- Price at the 0.382 level
- Price at the 0.786 level
Set these in the Alerts panel to get notified without watching the chart constantly.
---
## Settings Reference
**Swing Detection**
| Setting | Default | Description |
|---|---|---|
| Dynamic lookback | On | Automatically adjusts pivot sensitivity based on volatility |
| Manual lookback | 10 | Fixed lookback used when dynamic mode is off |
| Dynamic multiplier | 9 | Controls the average lookback length in dynamic mode |
| Direction mode | Auto | Auto, Bullish, or Bearish override |
| Show swing markers | On | Displays pivot dots on the chart |
**Multi-Timeframe Confirmation**
| Setting | Default | Description |
|---|---|---|
| MTF confirmation | On | Enables higher timeframe pivot alignment check |
| HTF timeframe | 240 (4H) | The timeframe used for confirmation pivots |
**Fibonacci Levels**
| Setting | Default | Description |
|---|---|---|
| Retracement levels | On | Draws the standard 0–1 retracement web |
| Extension levels | Off | Adds 1.272, 1.618, 2.618 extension targets |
| Ratio labels | On | Shows ratio numbers next to each level |
| Golden Pocket zone | On | Highlights the 0.618–0.65 zone |
| ATR stop-loss line | On | Draws the 2× ATR stop reference |
**Info Table**
| Setting | Default | Description |
|---|---|---|
| Show info table | On | Displays the dashboard |
| Position | Top Right | Corner placement of the dashboard |
---
## Notes
- This indicator is an overlay — it draws directly on the price chart
- Works on all timeframes, all markets, and all asset classes available on PulseWire
- The dynamic lookback is calibrated on BTC/USDT 1H data and performs well across most liquid crypto and equity instruments
- Past Fibonacci levels do not guarantee future price reactions — use this tool as part of a broader trading system, not as a standalone signal
- This indicator does not repaint. Swing pivots are confirmed before being drawn and are not subject to change after confirmation
---
## By Hash Capital Research
Indicator
Esco Theory V3.1Esco Theory Geometry Model V3 is a structural analysis overlay that maps market geometry, supply and demand, liquidity, fair value gaps, and volatility compression in one framework.
The tool combines market structure, liquidity mapping, supply and demand zones, fair value gaps, and volatility squeeze detection into a single structural system.
It does not generate buy or sell signals. It shows the structural conditions that often precede large moves so traders can plan trades around them.
Built for discretionary traders who read price action and structure.
Originally developed for crypto futures but it works on any liquid market.
Every feature can be toggled on or off. Every color, lookback period, tolerance, and threshold is adjustable. You can run only rails and support resistance or the full system. It adapts to your trading style and timeframe.
WHAT IT SHOWS
V3 draws the structural architecture of price directly on the chart.
Geometric rails and trend channels from swing pivots
Horizontal support and resistance from clustered pivot levels
Supply and demand zones validated by displacement
Fair value gaps from three candle imbalances
Inverse fair value gaps from filled imbalances
Equal highs and equal lows that often act as liquidity targets
Confluence zones where multiple levels overlap
Volatility compression detection with squeeze and expansion signals
Each component is independent. Turn on what you use. Turn off what you do not.
GEOMETRIC RAILS
The indicator connects significant swing highs and lows with diagonal trendlines and projects them forward.
Minor rails track recent structure.
Major rails map the larger cycle.
Cross rails connect highs to lows for diagonal support and resistance.
Cycle fans project from cycle extremes through opposing pivots.
These rails form structural corridors that price often travels inside.
When a rail aligns with a horizontal level or a supply demand zone the reaction tends to be stronger.
Rail color, width, extension distance, and cross rail count are adjustable.
SUPPORT AND RESISTANCE
Nearby pivot points are clustered into horizontal levels.
Each level includes a touch count so you can see how many times price has reacted there.
More touches usually means a stronger level.
Levels automatically flip between support and resistance depending on where price trades relative to the level.
You control minimum touch count and clustering tolerance so detection can be tuned for your timeframe or market.
SUPPLY AND DEMAND ZONES
Zones are detected at pivots where price displaced strongly away from the origin candle.
A valid zone requires clear displacement.
Supply zones represent potential distribution areas.
Demand zones represent potential accumulation areas.
Zones are removed when price closes through them.
New in V3 zones track retests.
Each time price revisits a zone the color fades slightly and the label updates with the retest count.
A fresh zone with zero retests is strongest.
A zone labeled S x3 has been tested three times and is weaker.
Zone count, pivot lookback, mitigation behavior, fade behavior, and colors are configurable.
FAIR VALUE GAPS
V3 detects fair value gaps using three consecutive candles where a price gap forms around the middle candle.
Bullish FVG occurs when candle one high does not overlap with candle three low.
Bearish FVG is the inverse.
Fair value gaps represent price inefficiency where the market moved too quickly.
These areas often get revisited as price rebalances.
Minimum gap size, lifespan, and automatic removal after midpoint fill can be configured.
INVERSE FAIR VALUE GAPS
When a fair value gap is fully mitigated it becomes an inverse fair value gap.
A filled bullish FVG becomes resistance.
A filled bearish FVG becomes support.
The zone remains on the chart with a different color until price closes through it again.
This captures the common behavior where filled imbalance zones flip direction.
CONFLUENCE
The indicator scans all detected levels and highlights areas where several structures cluster together.
When rails, horizontals, and supply demand overlap the probability of a reaction increases.
Confluence zones show how many levels overlap in the same area.
Cluster width and minimum level count can be adjusted.
COMPRESSION AND SQUEEZE
Volatility compression is detected using ATR ratio, Bollinger Band width, and Keltner Channel containment.
When volatility contracts the chart highlights compression.
This means price is coiling and energy is building.
Optional wedge detection shows converging pivot structure during compression.
Compression thresholds and pivot lengths can be tuned.
SQUEEZE AND FIRE
The squeeze system identifies when Bollinger Bands sit inside Keltner Channels.
Red diamonds mark squeeze bars.
Volatility is compressed and a move is building.
This does not predict direction.
Green triangles mark the fire bar where compression releases and volatility expands.
Expansion often appears as breakouts or displacement candles.
LIQUIDITY
The indicator detects equal highs and equal lows.
These areas often act as liquidity pools where stops accumulate.
Price frequently moves toward these levels before reversing or continuing.
Tolerance for equal highs and lows can be adjusted.
HOW TO USE IT
Strong setups occur when several tools agree.
Typical workflow.
Read the rails and understand the direction of structure.
Identify key levels from support resistance, supply demand, and fair value gaps.
Look for confluence where several levels overlap.
Watch compression. Squeeze near a key level means energy is building.
Wait for fire. Expansion from a confluence area often produces the move.
Confluence matters more than any single signal.
The indicator is meant to be tuned to your style and timeframe. The default settings are a starting point.
MARKETS
Originally built for Bitcoin and crypto perpetual futures.
It works well on other liquid markets including Ethereum, forex majors, index futures, and high volume equities.
Default settings are tuned for crypto on 5 minute to 4 hour charts.
Adjust swing lookback and pivot length when switching markets or timeframes.
ESCO THEORY
Markets move through repeating cycles.
Compression
Liquidity grab
Expansion
Most traders only see the breakout.
Structural traders map the conditions that lead to it.
Esco Theory focuses on identifying those structural conditions.
Geometry Model V3 visualizes them on the chart.
DISCLAIMER
This indicator is for market structure analysis only.
It does not provide financial advice or automated trade signals.
Always use proper risk management.
Trade safe.
Esco Indicator
Bot Webhook v8.4 [SOL]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
========================================
ENGLISH
========================================
Data-driven signal generation for SOL/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
OVERVIEW
This script is the SOL/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "SOLUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
SIGNAL LOGIC
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal)
- ADX < TF-specific threshold (no excessive counter-trend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
INDICATORS
- EMA 20/50/200 (Trend detection + filter)
- RSI 14 + RSI Slope (Momentum + direction change)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation)
REGIME DETECTION
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
CONFIDENCE CALCULATION
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable)
STOP LOSS / TAKE PROFIT
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
TIMEFRAMES
Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds)
Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data)
WEBHOOK ALERT FORMAT (JSON)
{"signal":"long/short", "symbol":"SOLUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
SETUP
1. Apply script to SOLUSDT/SOLUSD chart
2. Select desired timeframe (30S-20m)
3. Create alert and enter webhook URL
4. Create a separate alert for each timeframe
Other versions available: ETH, BTC
AUTOMATED TRADING BOT
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
========================================
DEUTSCH
========================================
Datengetriebene Signalgenerierung fuer SOL/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
UEBERBLICK
Dieses Script ist die SOL/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "SOLUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT)
TIMEFRAMES
Unterstuetzt: 30S, 45S, 1m-20m (alle mit eigenen optimierten Schwellenwerten)
Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT deaktiviert (keine Daten)
SETUP
1. Script auf SOLUSDT/SOLUSD Chart anwenden
2. Gewuenschten Timeframe waehlen (30S-20m)
3. Alert erstellen und Webhook-URL eintragen
4. Fuer jeden Timeframe einen separaten Alert erstellen
Weitere Versionen verfuegbar: ETH, BTC
AUTOMATISIERTER TRADING-BOT
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement. Indicator
Bot Webhook v8.4 [BTC]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
========================================
ENGLISH (EN)
========================================
Data-driven signal generation for BTC/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
OVERVIEW
This script is the BTC/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "BTCUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
SIGNAL LOGIC
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal)
- ADX < TF-specific threshold (no excessive counter-trend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
INDICATORS
- EMA 20/50/200 (Trend detection + filter)
- RSI 14 + RSI Slope (Momentum + direction change)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation)
REGIME DETECTION
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
CONFIDENCE CALCULATION
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable)
STOP LOSS / TAKE PROFIT
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
TIMEFRAMES
Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds)
Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data)
WEBHOOK ALERT FORMAT (JSON)
{"signal":"long/short", "symbol":"BTCUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
SETUP
1. Apply script to BTCUSDT/BTCUSD chart
2. Select desired timeframe (30S-20m)
3. Create alert and enter webhook URL
4. Create a separate alert for each timeframe
Other versions available: ETH, SOL
AUTOMATED TRADING BOT
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
========================================
DEUTSCH (DE)
========================================
Datengetriebene Signalgenerierung fuer BTC/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
UEBERBLICK
Dieses Script ist die BTC/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "BTCUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT)
SETUP
1. Script auf BTCUSDT/BTCUSD Chart anwenden
2. Gewuenschten Timeframe waehlen (30S-20m)
3. Alert erstellen und Webhook-URL eintragen
4. Fuer jeden Timeframe einen separaten Alert erstellen
Weitere Versionen verfuegbar: ETH, SOL
AUTOMATISIERTER TRADING-BOT
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
Indicator
Bot Webhook v8.4 [ETH]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
Data-driven signal generation for ETH/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
Datengetriebene Signalgenerierung fuer ETH/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OVERVIEW / UEBERBLICK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This script is the ETH/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "ETHUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Dieses Script ist die ETH/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "ETHUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL LOGIC / SIGNAL-LOGIK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal / Momentum-Wende)
- ADX < TF-specific threshold (no excessive counter-trend / kein ueberstarker Gegentrend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal / Momentum-Wende)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
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INDICATORS / INDIKATOREN
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- EMA 20/50/200 (Trend detection + filter / Trend-Erkennung + Filter)
- RSI 14 + RSI Slope (Momentum + direction change / Richtungswechsel)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation / Momentum-Bestaetigung)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength / Trendstaerke)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation / Volumen-Bestaetigung)
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REGIME DETECTION / REGIME-ERKENNUNG
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Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate! / BLOCKIERT - 0% Erfolgsrate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
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CONFIDENCE CALCULATION / CONFIDENCE-BERECHNUNG
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Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers / Modifikatoren:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend / Gegentrend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable / einstellbar)
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STOP LOSS / TAKE PROFIT
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Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
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TIMEFRAMES
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Supported / Unterstuetzt: 30S, 45S, 1m-20m (each with individually optimized thresholds / alle mit eigenen optimierten Schwellenwerten)
Best TFs / Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data / deaktiviert, keine Daten)
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WEBHOOK ALERT FORMAT (JSON)
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{"signal":"long/short", "symbol":"ETHUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
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SETUP
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1. Apply script to ETHUSDT/ETHUSD chart / Script auf ETHUSDT/ETHUSD Chart anwenden
2. Select desired timeframe (30S-20m) / Gewuenschten Timeframe waehlen
3. Create alert and enter webhook URL / Alert erstellen und Webhook-URL eintragen
4. Create a separate alert for each timeframe / Fuer jeden Timeframe einen separaten Alert erstellen
Other versions available / Weitere Versionen verfuegbar: BTC, SOL
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. / Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
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AUTOMATED TRADING BOT / AUTOMATISIERTER TRADING-BOT
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Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades on Kraken Futures - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades auf Kraken Futures ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
Indicator
Indicator
Global Risk DashboardWith the current global situation becoming increasingly unstable, markets across energy, precious metals, volatility, and crypto have been moving rapidly. During periods like this, it’s important to monitor multiple asset classes at the same time.
I noticed that I was constantly switching between several watchlists and charts just to keep track of the instruments I care about. To make this easier, I built a simple Global Risk Dashboard that displays all key markets in one place.
The dashboard allows you to quickly see price levels and daily performance across different asset groups, helping you understand the broader market environment without constantly changing charts.
Key Features
Custom Sections – Create up to 8 sections to organize markets however you like (Energy, Metals, Crypto, FX, Equities, etc.)
Up to 5 Instruments per Section – Monitor multiple assets within each category.
Enable / Disable Sections – Show only the groups you care about.
Enable / Disable Individual Instruments – Fully customizable layout.
Color-Coded Performance – Cells automatically change color based on daily performance.
Daily Price + % Change – Quickly identify which markets are moving.
Flexible Layout – Sections automatically adjust depending on what you enable.
Example Use Cases
You might organize sections like:
Volatility (VIX, VVIX, MOVE)
Energy (WTI, Brent, NatGas)
Precious Metals (Gold, Silver, Copper)
Crypto (BTC, ETH, Total Market Cap)
Macro (DXY, US Yields, Equity Indexes)
But the layout is fully customizable, so you can build a dashboard tailored to your own workflow.
Why This Tool Exists
The goal of this script is simple:
reduce the need to constantly switch between watchlists and charts during fast-moving market conditions.
Instead, you get a single, compact overview of the markets that matter to you. Indicator
Apicode Institutional Liquidity Sweep v2Apicode — Institutional Liquidity Sweep v2 is a price-action based indicator designed to detect potential institutional-style stop hunts and highlight possible entries after liquidity has been taken from retail traders.
The core idea is simple:
- retail traders often place stop losses around obvious swing highs and swing lows
- larger market participants know this
- price frequently sweeps those liquidity pools before moving in the intended direction
This indicator attempts to identify those moments by combining:
- higher timeframe trend
- premium / discount context
- liquidity sweep detection
- reclaim confirmation
- microstructure confirmation
- and automatic **Entry / SL / TP** projection
It is designed to be practical, visually clean, and limited to the last 5 active trade ideas on the chart.
How it works
1. Higher timeframe trend filter
The indicator first checks the broader market context using **higher timeframe EMA structure**.
It compares:
a fast EMA
a slow EMA
On the selected higher timeframe(s), the logic is:
bullish bias when fast EMA is above slow EMA and the slow EMA is rising
bearish bias when fast EMA is below slow EMA and the slow EMA is falling
This helps avoid taking signals against the dominant trend.
Why this matters
Liquidity sweeps are much more useful when they happen **in the direction of the main trend**.
For example:
- in an uptrend, a sweep below a swing low may become a high-probability long setup
- in a downtrend, a sweep above a swing high may become a high-probability short setup
2. Premium / Discount filter
The indicator builds a simple **higher timeframe dealing range** and calculates its midpoint.
Then it classifies the current price as:
- Discount → below the midpoint
- Premium → above the midpoint
This is used as an additional contextual filter:
Long setups are preferred in discount
Short setups are preferred in premium
Why this matters
Institutional-style entries tend to make more sense when:
- buying lower within the broader range
- selling higher within the broader range
This helps avoid chasing price after it has already moved too far.
3. Swing liquidity detection
The script identifies recent swing highs and swing lows using pivot logic.
These levels are treated as likely liquidity pools , because they often attract:
- breakout traders
- stop losses
- late entries
- forced liquidations
The indicator then looks for price sweeping beyond those levels.
4. Liquidity sweep logic
Long setup
A potential long setup appears when:
- the higher timeframe trend is bullish
- price is in discount
- price moves below the latest swing low
- the sweep size remains within a realistic range
- the candle shows meaningful lower wick behavior
Short setup
A potential short setup appears when:
- the higher timeframe trend is bearish
- price is in premium
- price moves above the latest swing high
- the sweep size remains within a realistic range
- the candle shows meaningful upper wick behavior
The indicator also uses a configurable approximation of the **retail stop-loss zone**, based on the idea that many small traders cluster their stops near obvious structure.
5. Reclaim confirmation
A sweep alone is not enough.
The script also requires price to reclaim the swept level with a small configurable buffer.
That means:
- after sweeping below a swing low, price must recover back above it for long bias
- after sweeping above a swing high, price must move back below it for short bias
Why this matters
A lot of sweeps fail.
The reclaim step is essential because it suggests the sweep may have been a **liquidity grab**, not a true breakout.
6. Microstructure confirmation
After the reclaim, the indicator waits for a quick confirmation candle.
That confirmation requires:
- a minimum candle body size
- directional candle confirmation
- a small break of recent local structure
This is meant to avoid entering too early while still keeping the signal relatively close to the swept level.
7. Entry, Stop Loss, and Take Profit
Once a setup is confirmed, the indicator plots:
- Entry
- SL
- TP
Entry
The entry is based on the confirmation candle close.
Stop Loss
The stop loss is placed beyond the sweep extreme, with an additional **ATR-based buffer**.
This is intentional:
- retail traders usually place stops too close
- institutional-style logic needs more breathing room
- the SL should sit beyond the area that was already used to collect liquidity
Take Profit
The take profit is calculated using:
1. the nearest reasonable opposing liquidity zone , if available
2. otherwise, a fallback risk-reward based target
This gives the script a more realistic institutional-style objective rather than using a fixed target only.
8. Active signal cleanup
The indicator keeps the chart clean by:
- displaying only the last 5 visible signals
- automatically removing a signal once price touches:
- SL
- or TP
This prevents the chart from becoming cluttered and ensures that only relevant setups remain visible.
What kind of trader is this for?
This indicator is best suited for traders who already understand:
- market structure
- liquidity concepts
- trend context
- stop hunts
- reversal entries near key levels
It is especially useful for traders who want to avoid:
- entering too late
- buying into local highs
- shorting into local lows
- trading directly into obvious retail traps
Best settings to start with
These are good starting values for **XRPUSDT on 15m** (and others), which is the market this logic was heavily tuned around:
Trend
- HTF main: 60
- HTF secondary: 240
- Fast EMA: 20
- Slow EMA: 50
Premium / Discount
Dealing Range HTF: 20
Swings / Liquidity
- Swing Length: 5
- Minimum Sweep %: 0.12
- Maximum Sweep %: 1.00 to 1.20
- Retail Stop Zone %: 1.00
Confirmation
- Confirm Bars: 2 to 3
- Minimum Confirmation Body: 0.30
- Microstructure Break Lookback: 2
- Max Distance From Swept Level: 0.50 to 0.60 ATR
Risk
- ATR Length: 14
- SL ATR Buffer: 0.15
- Minimum RR to Signal: 1.10
- Fallback RR: 2.00
Volume
- Start with Volume Filter OFF
- Enable it later only if you want fewer but stricter signals
Configuration advice
If you get too many signals
Try:
- increasing Minimum Sweep %
- increasing Minimum Confirmation Body
- increasing Minimum RR to Signal
- enabling the volume filter
- using both HTF 1 and HTF 2
If you get too few signals
Try:
- reducing Minimum Sweep %
- reducing Minimum Confirmation Body
- lowering Minimum RR to Signal
- disabling the second HTF confirmation
- reducing the reclaim buffer slightly
If signals feel too late
Try:
- reducing **Confirm Bars**
- reducing **Microstructure Break Lookback**
- lowering **Minimum Confirmation Body** slightly
If signals still go against the move too often
Try:
- making the trend filter stricter
- requiring both higher timeframes
- tightening premium / discount usage
- reducing the maximum allowed sweep size
Practical interpretation
This indicator is not trying to predict every reversal.
Instead, it focuses on a specific scenario:
1. price moves into an obvious liquidity pool
2. stops are triggered
3. price reclaims the level
4. structure starts to shift back with the dominant trend
5. a trade idea is projected with defined risk and objective
That is the edge this script is built around.
Important notes
- This is **not** an order book tool.
- It does **not** see real liquidity, delta, footprint data, or exchange-level positioning.
- It is a **price-action approximation** of institutional behavior.
- Like any trading tool, it should not be used in isolation.
It works best when combined with:
- higher timeframe market structure
- strong support/resistance zones
- session context
- discretionary chart reading
Suggested usage
A practical workflow could be:
1. determine the higher timeframe directional bias
2. wait for price to reach a meaningful area
3. let the indicator detect the sweep and reclaim
4. evaluate the Entry / SL / TP visually
5. ignore setups that run directly into major nearby obstacles
6. focus only on the cleanest signals aligned with broader context
Final note
This indicator was built with a practical mindset:
* think like a larger participant
* understand where retail traders are trapped
* avoid emotional entries
* wait for liquidity to be taken first
* then act with defined risk
Indicator
Indicator
Arbitrage Scanner Pro [Multi-Asset Dashboard]⚡ Arbitrage Scanner Pro
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📌 OVERVIEW
Arbitrage Scanner Pro is a multi-asset monitoring and arbitrage detection system that displays 3 assets simultaneously on one chart. It detects trend divergences between correlated assets, identifies arbitrage opportunities in real-time, and uses speed simulation to make indicators react as if running on sub-minute timeframes (10s, 15s, 30s).
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🧠 HOW IT WORKS
🔹 Speed Simulation Engine
PulseWire's minimum timeframe is 1 minute. This indicator mathematically scales indicator parameters to simulate faster reactions:
• Normal (1m) → Standard indicator behavior
• Simulate 30s → Parameters divided by 2 (2x faster reactions)
• Simulate 15s → Parameters divided by 4 (4x faster reactions)
• Simulate 10s → Parameters divided by 6 (6x faster reactions)
Example in 15s mode: EMA 20 becomes EMA 5, RSI 14 becomes RSI 4, Supertrend Length 5 becomes 1.
🔹 Signal Logic
Each asset runs the same strategy independently using its own price data:
LONG conditions (all must be true):
✅ Supertrend = Bullish (green)
✅ Close > EMA of Highs (breakout above channel)
✅ RSI > 60 (strong momentum)
✅ RSI > RSI Moving Average (momentum accelerating)
✅ Supertrend outside EMA channel (trending, not choppy)
SHORT conditions (all must be true):
✅ Supertrend = Bearish (red)
✅ Close < EMA of Lows (breakdown below channel)
✅ Supertrend outside EMA channel (trending, not choppy)
The "Supertrend outside EMA channel" filter is the key innovation — it eliminates false signals during sideways consolidation by only allowing signals when the market shows a clean directional trend.
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📊 MULTI-ASSET DISPLAY
The indicator creates a stacked 3-panel layout in a single pane:
• Asset A (Main) → Your chart's symbol with overlay indicators
• Asset B (Secondary) → Normalized candles in 0-100 range with full OHLC
• Asset C (Third) → Normalized candles shifted below with adjustable gap
Each secondary asset displays:
📊 Ticker name (e.g., ETHUSDT)
🏛️ Exchange/broker name (e.g., BINANCE) — auto-parsed from symbol
💲 Live price with up to 4 decimal precision
📈 Bar-to-bar percentage change with color coding
Price normalization formula:
Normalized = (Price - 200-bar Low) ÷ (200-bar High - 200-bar Low) × 100
All indicators (EMA channels, Supertrend) are also normalized to the same scale.
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🔍 ARBITRAGE DETECTION
The core feature — compares trend directions and signal timing across all 3 assets.
🔹 Signal Divergence (strongest signal):
Fires when two assets generate OPPOSITE signals on the same bar.
Example: Asset A = LONG while Asset B = SHORT → ⚠️ Arbitrage Opportunity
🔹 Trend Divergence (ongoing):
Tracks when assets have different Supertrend directions.
Measured as a Divergence Score from 0/3 (all aligned) to 3/3 (all different).
🔹 Convergence Detection:
Fires when ALL 3 assets trigger the same signal simultaneously.
All LONG → Maximum bullish confirmation.
All SHORT → Maximum bearish confirmation.
🔹 Visual Feedback:
• Yellow background flash → Signal divergence detected
• Green background flash → All assets triggered LONG
• Pink background flash → All assets triggered SHORT
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📋 DASHBOARD
The professional dashboard table shows real-time data for all assets:
• ASSET → Parsed ticker name with emoji identifier
• EXCHANGE → Auto-detected exchange/broker (BINANCE, COINBASE, FX, etc.)
• PRICE → Live close price
• CHANGE → Bar-to-bar % change (green/red)
• TREND → Supertrend direction (▲ BULL / ▼ BEAR)
• SIGNAL → Current state (🚀 LONG! / 🔻 SHORT! / 🟢 Long / 🔴 Short / ⚪ Neutral)
Arbitrage Status Section:
• Overall divergence assessment with descriptive message
• Pair-by-pair comparison (A↔B, A↔C, B↔C) — DIVERGED or ALIGNED
• RSI values for all 3 assets side-by-side
• Divergence score (0/3 to 3/3)
Dashboard size, position, and label sizes are all adjustable.
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⚙️ SETTINGS
🔹 Speed Mode:
Scan Speed → Normal (1m) / Simulate 30s / Simulate 15s / Simulate 10s
🔹 Detection Settings:
Trend Detection Length → Supertrend ATR lookback (default: 5)
Sensitivity Factor → Supertrend ATR multiplier (default: 1.0)
Channel Length → EMA lookback for high/low channel (default: 20)
Momentum Length → RSI period (default: 14)
🔹 Asset Configuration:
Asset B and Asset C can be independently enabled/disabled with custom symbols and candle colors.
🔹 Display Settings:
Show Trend Overlays → Toggle EMA and Supertrend on secondary charts
Signal Style → Labels / Arrows / Both
Gap Between Charts → 80 to 500 (vertical spacing)
Signal Label Offset → Distance of signal labels from candles
🔹 Size Settings:
Dashboard Text Size → Tiny / Small / Normal / Large
Chart Label Size → Tiny / Small / Normal / Large / Huge
Signal Label Size → Tiny / Small / Normal / Large / Huge
Dashboard Position → 9 positions (Top/Mid/Bottom × Left/Center/Right)
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🔔 ALERTS (12 Total)
Individual (6):
• Asset A LONG / SHORT
• Asset B LONG / SHORT
• Asset C LONG / SHORT
Combined (2):
• ANY asset LONG
• ANY asset SHORT
Arbitrage-Specific (4):
• ⚠️ Signal Divergence detected (opposite signals on same bar)
• 🟢 All 3 assets LONG convergence
• 🔴 All 3 assets SHORT convergence
• 🔶 High divergence score (2+/3)
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📈 USE CASES
🔹 Cross-Exchange Arbitrage:
Monitor BTC on BINANCE, COINBASE, and BYBIT simultaneously. When one exchange shows LONG while another shows SHORT, a price discrepancy exists.
🔹 Crypto Correlation Trading:
Watch BTC, ETH, and SOL together. BTC often leads — when BTC triggers LONG first, altcoins typically follow. Enter altcoins on confirmation.
🔹 Forex Multi-Pair Scanning:
Monitor EURUSD, GBPUSD, and USDJPY. When EUR and GBP both show LONG while JPY shows SHORT, it confirms broad USD weakness.
🔹 Index + Sector Rotation:
Track S&P 500 futures alongside QQQ (tech) and XLF (financials). Divergences between sectors reveal which is driving the market.
🔹 News Event Reaction:
Monitor Gold, Dollar Index, and 10-Year Yields during economic releases. The 10s simulation catches reactions within the first minute candle.
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⚠️ IMPORTANT NOTES
• This uses 1-minute OHLC data — it does NOT create actual sub-minute candles
• Signals fire at bar close, not mid-candle
• The 0-100 normalization can make small moves appear larger
• This is a detection tool — trade execution requires separate infrastructure
• Best used on 1-minute charts where the speed simulation is calibrated
• Always combine with proper risk management
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🔧 RECOMMENDED SETTINGS
Crypto (High Volatility): Sim 15s, Length 5, Factor 1.0, Channel 20
Crypto (Low Volatility): Sim 30s, Length 7, Factor 1.5, Channel 25
Forex Majors: Sim 30s, Length 5, Factor 1.5, Channel 20
Stock Indices: Sim 30s, Length 5, Factor 1.0, Channel 15
News Events: Sim 10s, Length 3, Factor 0.5, Channel 10 Indicator
Indicator
Adaptive Regime Compass MovingAverage SuiteSummary in one paragraph
Regime Compass Adaptive MA Suite is a three speed adaptive moving average indicator for liquid markets on intraday through daily charts. It helps you act only when price position, MA stack structure, reliability, and higher timeframe context align. It is original because it fuses robust outlier handling with efficiency driven adaptive smoothing, then compresses multi timeframe confirmation into a single compact panel plus directional reliability shading.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto, and liquid commodities
• Timeframes. One minute through daily
• Default demo used in the publication.SPY 1h
• Purpose. Provide a practical trend context layer that adapts to regime and reduces false confidence during chop by exposing a reliability score and multi timeframe agreement
• Limits. This is an indicator. It does not place orders and does not simulate fills
Originality and usefulness
This is not a mashup of standard MAs. It is a single adaptive engine expressed at three speeds, plus a reliability model and a multi timeframe state panel.
• Unique concept or fusion. Robust input conditioning plus efficiency ratio driven adaptive alpha plus a reliability score that requires both structure and strength, projected across three higher timeframes with a consensus read
• What failure mode it addresses. Single bar spikes that poison classic smoothers, and false trend impressions during low efficiency chop where fixed length MAs keep crossing
• Testability. All behaviors are controlled in Inputs and echoed in the table so users can see why the state is bullish, bearish, or mixed and tune accordingly
• Portable yardstick. Efficiency ratio is dimensionless, so it generalizes across symbols and tick sizes. Slope strength is normalized by recent average absolute slope to reduce symbol dependence
Method overview in plain language
Base measures
Return basis. The engine measures directionality with an efficiency ratio, defined as absolute net change over a window divided by the sum of absolute bar to bar changes over the same window. Values closer to 1 indicate directional movement. Values closer to 0 indicate noise.
Range basis. Optional robust clipping uses a rolling mean and a scaled mean absolute deviation of price around that mean to define a dynamic clamp band for extreme bars.
Components
• Robust Clip. Optional step that clamps extreme deviations of the input series so single spikes do not disproportionately shift the MA state. Use it on wick heavy markets or news driven sessions. Disable it if you want raw sensitivity.
• Adaptive Alpha Core. The smoothing rate adapts between a fast and slow anchor using the efficiency ratio. In directional regimes the MA accelerates. In noisy regimes it slows down.
• Base Length Shaping. A second light smoothing stage ties each line to its fast, medium, or slow horizon so the trio remains coherent instead of behaving like three unrelated formulas.
• Zero Lag Assist. Optional phase compensation that slightly pulls the line toward its recent direction to reduce lag. It is strongest on the fast line and tapered on medium and slow. Disable it if you prefer maximum stability in chop.
• Reliability Score. A composite confidence estimate built from medium efficiency, MA stack coherence, and normalized medium slope strength. It is designed as a gating variable, not as a prediction.
Fusion rule
The three lines are produced by the same adaptive engine with different base lengths. The adaptive alpha uses the efficiency ratio to interpolate between the fast and slow anchors, then squares the result to damp small changes, similar in spirit to classic adaptive averages but implemented as a coherent three speed suite. Reliability is a weighted composite of:
• medium efficiency as the directionality signal
• a stack coherence score that is true when Fast is above Medium and Medium is above Slow, or the symmetric bearish condition
• medium slope strength normalized by recent average absolute slope
Signal rule
This script does not print buy or sell markers. It provides context states.
• Bullish structure is present when Fast is above Medium and Medium is above Slow
• Bearish structure is present when Fast is below Medium and Medium is below Slow
• Reliable regime shading is shown only when reliability is at or above the threshold and structure is consistently bullish or bearish
• Higher timeframe Trend in the table is Up when higher timeframe close is above its higher timeframe Medium and the higher timeframe Medium slope is positive. Down is the symmetric condition. Otherwise it is Neutral
What you will see on the chart
• Three adaptive MA lines: Compass Fast, Compass Medium, Compass Slow
• Optional line coloring: green when close is above the line, red when close is below
• Optional background shading: green for reliable bullish structure, red for reliable bearish structure
• Compact higher timeframe panel in the top right
Table fields and quick reading guide
Table columns use short labels.
• TF. The timeframe used for the row
• TREND. Up, Down, or Neutral on that higher timeframe using close versus Medium plus Medium slope sign
• C VS MED. Whether the higher timeframe close is above or below its higher timeframe Medium
• STACK. Two relationships shown together: F>M or FS or M Indicator
Arbitrage Monitoring [ZurvanEG]⯁ Advanced Multi-Market Arbitrage & Liquidity Scanner
◇ Overview
This professional-grade analysis suite is designed to detect, validate, and visualize cross-exchange price inefficiencies in real-time. Unlike standard gap scanners, this engine employs a Statistical Validation Layer to filter out market noise, ensuring that only high-quality, actionable Arbitrage opportunities are presented.
Whether analyzing Crypto Assets across centralized exchanges or Forex & Commodities across top-tier brokers, this tool transforms fragmented liquidity data into a unified, actionable dashboard.
◈ Dual-Engine Architecture
The system adapts its scanning logic based on the asset class:
⬥ Crypto Mode: Scans a network of major CEXs (Binance, OKX, Kraken, etc.) with specific algorithms for USDT-paired volatility and volume weighting.
⬥ Forex Mode: Connects to premium liquidity providers (OANDA, Saxo, IC Markets) to monitor fiat pairs and Gold (XAUUSD), calibrated for tight spreads and high-frequency precision.
◈ Operational Modes & Scanning Logic
This system offers two distinct engine modes, allowing traders to switch between Deep Granular Analysis and Broad Market Surveillance:
⬥ Deep Dive (Chart Asset Focus)
⬦ Precision Analysis: This mode directs the full processing power of the script to the single asset currently displayed on your chart.
⬦ Dynamic Ticker Recognition: It automatically extracts the base asset (e.g., “BTC” from “BTCUSDT”) and instantly queries the entire network of supported exchanges (20+ sources) to find the absolute best Buy/Sell prices available globally.
⬥ Multi-Asset Scanner (Watchtower Mode)
⬦ Market-Wide Surveillance: Acts as a background radar system. Instead of focusing on one chart, it continuously monitors a user-defined “Asset Universe” (up to 5 custom instruments) simultaneously.
⬦ Resource Balancing: The engine intelligently allocates resources to track the spread quality for your entire watchlist in real-time, regardless of which symbol is currently on your chart.
◈ Smart Validation & Risk Engine
Unlike simple price-gap tools, this indicator employs a multi-layered Statistical Verification Engine to filter out noise and ensure actionable opportunities.
⬥ Z-Score Contextualization:
Instead of relying on fixed percentage thresholds, the engine calculates the Standard Deviation (Z-Score) of the current spread relative to its recent history. This distinguishes statistically significant anomalies from normal market volatility.
⬥ Stagnancy Protection (Anti-Freeze):
Automatically detects and quarantines exchanges with “frozen” data feeds. If a price remains unchanged for a user-defined number of bars, the source is flagged as stale to prevent false signals caused by API disconnects or illiquid order books.
⬥ Liquidity & Volume Filters:
Ensures that price gaps are backed by real market depth. The engine filters out “ghost” arbitrage opportunities on exchanges with insufficient volume, protecting traders from getting trapped in illiquid positions.
⬥ Stability Counters:
Requires an opportunity to persist for a minimum number of consecutive bars (Stability Bars) before validation. This rules out HFT (High-Frequency Trading) flickers and latency-based ghosts that are impossible to execute manually.
◈ Visualization Suite & Intelligent Dashboard
This indicator bridges the gap between raw data processing and visual decision-making, offering two synchronized layers of market insight:
⬥ The Arbitrage Cloud (Chart Overlay)
⬦ Spatial Spread Representation: Unlike traditional line indicators, this feature renders the arbitrage opportunity as a dynamic, semi-transparent cloud directly on your price chart. It visualizes the physical gap between the Global Best Buy Price (Lowest Ask) and the Global Best Sell Price (Highest Bid).
⬦ Contextual Volatility Analysis: By overlaying this cloud on the asset’s candles, traders can instantly assess the magnitude of the spread relative to current price action. You can visually correlate spread widenings with specific market events, support/resistance breakouts, or liquidity crunches without needing to look at a separate oscillator.
⬦ History Tracking
Instead of a fleeting snapshot, the Arbitrage Cloud renders the complete historical trajectory of price inefficiencies directly on your chart.
Contextual Backtesting: By plotting the cloud historically, you can visually backtest how spreads behave during specific market events (e.g., news releases, volatility spikes). This allows you to identify recurring patterns in liquidity fragmentation.
Visualizing Spread Expansion/Contraction: See exactly when opportunities opened and closed in the past. The cloud’s width dynamically reflects the magnitude of historical arbitrage windows, helping you distinguish between fleeting wicks and sustained profitable trends.
Correlation Analysis: Directly correlate spread widenings with price action (support/resistance, breakouts) to refine your entry and exit strategies based on proven historical behavior.
⬥ Command-Center Dashboard
A professional-grade, tabular overlay designed to act as your central monitoring station. It goes beyond simple data display to provide actionable metrics:
⬦ Micro-Trend Sparklines: Integrated mini-charts within the table columns visualize the recent trajectory of the spread over the last Nbars. This allows you to identify whether an opportunity is expanding (opening up) or compressing (closing down) at a glance, without changing your chart timeframe.
⬦ Net Profit & ROI Logic: The dashboard includes a sophisticated Fee Adjustment Engine. Instead of showing theoretical “Gross Profit,” it optionally deducts user-defined trading fees (e.g., 0.1% maker/taker) and transfer costs. This presents the “True Net Profit,” filtering out opportunities that look good on paper but are unprofitable after costs.
⬦ Composite Quality Scoring (0-100): To simplify decision-making, the engine synthesizes multiple data points into a single “Quality Score.”
◈ Alert System
Receive alerts only for opportunities that pass all validation filters (Z-Score, Stability, Volume). A built-in Smart Cooldown prevents notification spam, ensuring each alert is a distinct, actionable event.
Every notification includes the essential data:
⬦ Asset & Spread %
⬦ Specific Buy/Sell Venues
◈ Conclusion
The Arbitrage Monitoring represents a paradigm shift from standard retail indicators to institutional-grade market analysis. By synthesizing real-time liquidity fragmentation, statistical rigor (Z-Score), and cross-venue data aggregation, this engine solves the primary challenge of modern trading: Data Reliability. It does not merely flag price differences; it mathematically validates the quality and executability of those inefficiencies before they appear on your screen.
For the discretionary trader, it acts as a Market Truth Revealer, exposing the hidden liquidity mechanics behind a single candle. For the quantitative arbitrageur, it serves as a robust Signal Validation Layer, filtering out latency noise to isolate genuine alpha.
Whether deployed for High-Frequency Scalping in Crypto or Precision Hedging in Forex, this tool transforms the chaotic landscape of global pricing into a structured, actionable, and visually intuitive roadmap. It is the ultimate instrument for traders who demand to see the entire market, not just a single exchange.
Indicator
Pulse Mean AcceleratorPulse Mean Accelerator (PMA) | MisinkoMaster
Pulse Mean Accelerator (PMA) is a high-speed adaptive trend engine designed to dynamically accelerate or stabilize its behavior depending on how aggressively price moves relative to its underlying structure. Instead of acting like a traditional moving average that simply lags behind price, PMA attempts to anticipate momentum expansion by accelerating when price pulses strengthen and stabilizing when market movement slows.
The result is a responsive yet smooth trend-following tool that adapts to both trending and consolidating markets. PMA is particularly useful for traders who want earlier participation in expanding trends without sacrificing structural clarity.
By combining adaptive acceleration, volatility awareness, and layered smoothing, PMA balances speed and stability to help traders remain aligned with developing momentum.
Key Features
Adaptive acceleration that reacts when price movement intensifies
Automatically slows down during consolidation to reduce noise
Multiple moving average types supported for flexibility
Volatility-aware responsiveness adjustment
Optional confirmation logic to filter weak signals
Multiple smoothing modes for balancing speed vs stability
Dynamic candle coloring reflecting active trend state
Automatic Long and Short markers when direction changes
Works across fast intraday and slower swing environments
Designed to reduce lag while preserving structure
How It Works
Pulse Mean Accelerator begins with a moving average structure but enhances it by measuring how aggressively price moves relative to that baseline. When price starts moving faster than the average, acceleration increases, allowing the indicator to catch up quickly.
When price slows or becomes erratic, acceleration reduces, preventing excessive reaction to noise.
Volatility measurements are incorporated to scale this acceleration, ensuring that responsiveness adapts naturally to current market conditions. Strong moves result in quicker adaptation, while quiet markets lead to smoother, calmer behavior.
Additional smoothing layers can then be applied, allowing traders to choose between faster responsiveness or more stable structure depending on their trading style.
Optional confirmation logic ensures that signals are not triggered solely by temporary price spikes, helping filter weaker moves.
The outcome is a moving average framework that behaves more like a dynamic trend engine rather than a static lagging indicator.
Trend Detection Logic
Trend direction is determined by how price behaves relative to the accelerated mean structure.
Bullish phases occur when price maintains strength above the adaptive mean while momentum confirms upward pressure. Bearish phases occur when price weakens below the structure and downward momentum dominates.
Signals appear when participation shifts strongly enough to confirm directional change, helping traders detect transitions from consolidation to expansion phases.
Acceleration Behavior
A defining characteristic of PMA is its pulse acceleration mechanism.
• Strong price pulses increase responsiveness
• Weak or slow price movement reduces acceleration
• Volatility conditions influence adaptation speed
• Structure remains smooth when momentum is weak
This dynamic adjustment helps traders enter trends earlier while avoiding excessive reactions during sideways markets.
Smoothing Modes
PMA includes multiple smoothing options so users can tune responsiveness:
• Raw acceleration for fastest reaction
• Exponential stabilization for balanced behavior
• Additional smoothing layers for structural clarity
• Double smoothing for maximum noise reduction
This flexibility allows PMA to be tailored for scalping, intraday trading, or higher-timeframe trend following.
Visual Signals
The indicator provides several visual cues for ease of interpretation:
• Candle coloring reflects active trend direction
• Adaptive mean and accelerated mean are plotted together
• Long and Short markers appear when trend shifts occur
• Filled areas highlight separation between price and structure
These features help traders read market structure quickly without relying on numerical interpretation.
Inputs Overview
Users can customize behavior through adjustable components including:
• Price source selection used in calculations
• Moving average type controlling base structure
• Length settings affecting responsiveness
• Acceleration sensitivity determining reaction speed
• Volatility measurement type influencing adaptation
• Smoothing mode selection for stability control
• Optional confirmation filtering for signal validation
These controls allow the tool to be tuned for both aggressive and conservative trading approaches.
Usage Notes
Ideal for traders needing faster adaptation to momentum expansion
Helps detect early stages of trend acceleration
Useful for filtering sideways noise while remaining reactive to breakouts
Works well in volatile assets where traditional averages lag
Can be combined with support/resistance or volume tools for confirmation
Higher smoothing settings suit swing traders, lower smoothing benefits intraday traders
Confirmation mode reduces false signals in choppy markets
Parameter tuning improves performance across different assets
Best Use Scenarios
Pulse Mean Accelerator performs particularly well in:
• Momentum expansion phases
• Breakouts from consolidation ranges
• Trend continuation environments
• High-volatility market conditions
• Assets showing periodic acceleration bursts
• Markets transitioning from low to high volatility
It is especially effective where traditional moving averages react too slowly to developing moves.
Summary
Pulse Mean Accelerator transforms traditional moving average logic into an adaptive trend engine capable of accelerating when price momentum expands and stabilizing during calm conditions. By blending acceleration, volatility awareness, and flexible smoothing, it provides traders with a faster yet structured view of market direction.
PMA is best suited for traders seeking earlier trend participation while maintaining smooth, readable structure across both fast-moving and consolidating markets. Indicator
Crypto PCA [LuxAlgo]The Crypto PCA indicator provides a sophisticated, multi-asset sentiment gauge by applying Principal Component Analysis (PCA) to a basket of the top 20 cryptocurrencies.
By extracting the primary driver of variance across these assets, the tool offers a "market-wide" oscillator that filters out individual coin noise to highlight the dominant trend and sentiment shifts in the crypto space.
In modern quantitative finance, PCA is used to reduce dimensionality and identify the underlying factors that move a group of assets. This indicator brings that institutional-grade approach to the retail trader, condensing the price action of Bitcoin, Ethereum, Solana, and 17 other majors into a single, actionable signal.
🔶 USAGE
The script serves as a macro-sentiment oscillator, allowing traders to see the "hidden" force driving the crypto market. It is designed to identify when the market is moving in unison and when that collective movement has reached an extreme.
🔹 Identifying Market Regimes
The primary use of the PCA line (PC1) is to determine the current market regime. When the oscillator is above the zero line and colored green, it indicates that the majority of the top 20 assets are experiencing positive variance, signaling a broad bullish regime. Conversely, when the line is below zero and colored red, the market is in a collective bearish state. Traders can use this to align their individual trades with the direction of the total market energy.
🔹 Using Snapshot Mode for Situational Analysis
While the continuous mode is ideal for long-term trend following, the Snapshot Mode provides a focused view of market dynamics over the most recent lookback window. This mode isolates the current sentiment cycle, allowing traders to see the specific trajectory and "shape" of the latest move without the influence of older historical data.
By enabling Snapshot Mode, you can analyze the immediate internal structure of the market. It is particularly useful for identifying whether a recent pump or dump is a coordinated market-wide event or a more fragmented move. This helps in distinguishing between a broad structural shift and a temporary volatility spike.
🔹 Spotting Overextended Sentiment
The indicator includes dashed horizontal lines at +2 and -2, representing standard deviation thresholds. Because the assets are standardized before calculation, these levels mark statistical extremes.
Overbought Extremes: When the PCA line exceeds +2, the broad market is significantly overextended to the upside. This often precedes a cooling-off period or a mean-reversion event across the entire sector.
Oversold Extremes: When the PCA line drops below -2, it suggests a "panic" or exhausted selling state across the basket. This can signal potential bottoming interest or a relief rally.
🔹 Gauging Relative Strength
The faint "ghost" lines in the background represent the individual standardized price paths of the 20 included assets. By comparing these to the main PCA line, traders can identify leaders and laggards. An asset line that stays consistently above the PCA line during a rally is exhibiting relative strength, while an asset trailing below the PCA line is underperforming the market average.
🔶 DETAILS
The indicator follows a rigorous mathematical pipeline to ensure the data is statistically significant and comparable across assets with different price scales.
🔹 Standardization (Z-Scores)
Before performing PCA, every asset must be on the same scale. The script converts the price of all 20 assets into Z-scores based on the user-defined Lookback Period. A Z-score tells us how many standard deviations a price is from its mean. This allows the movement of a high-priced asset like BTC to be mathematically compared to a lower-priced asset like PEPE.
🔹 The Basket & PCA Approximation
The indicator includes the following assets: BTC, ETH, BNB, XRP, SOL, TRX, DOGE, ADA, BCH, WBTC, XLM, LTC, HBAR, LINK, AVAX, PEPE, DOT, UNI, NEAR, and ICP.
The script uses a correlation-based approximation to find the First Principal Component. It calculates the correlation of each asset to the equally weighted basket and uses these correlations as "loadings" to compute the PC1. This ensures that assets moving in sync with the general market trend are given higher priority in the final oscillator value.
🔹 Why PCA?
Most "Crypto Indices" are simply weighted averages. PCA is superior because it identifies the commonality between assets. If 18 coins are moving up and 2 are moving down, PCA gives more weight to the 18 moving together, as they represent the "Principal Component" of the market's current energy.
🔶 SETTINGS
🔹 Main Settings
Lookback Period (N): Determines the window used for Z-score standardization and PCA calculation. A shorter period makes the indicator more reactive, while a longer period identifies macro-cycle shifts.
Z-Score Smoothing: Applies a Simple Moving Average (SMA) to the standardized asset values before the PCA calculation. This effectively filters out high-frequency noise and produces a smoother principal component line, which is useful for reducing false regime shifts in volatile markets.
Enable Snapshot Mode: Switches the visual output from a continuous rolling line to a static view of the PCA over the most recent lookback window.
🔹 Visual Settings
Standardized Assets Color: Controls the color and transparency of the 20 individual asset lines.
Bull/Bear Colors: Defines the colors used for positive and negative market sentiment.
Disclaimer: This indicator is a statistical tool for sentiment analysis and does not constitute financial advice. The PCA approach measures variance and correlation, not guaranteed future direction. Indicator
