24-Hour Price Amplitude

Practical Use

• Amplitude allows you to visualize recent volatility.
• Price Position tells you if the price is near support (range low) or resistance (range high).
• Remaining Potential is a monitoring tool to evaluate risk / remaining movement potential.
• These combined indicators help understand the 24h market structure and adjust your entries/exits accordingly.

Educational Analysis

Calculation Logic

• Analysis of closed D1 candles only (no candles in progress).
• Use of liquidity levels (PDH / PDL) from yesterday or the day before.
• Detection of a liquidity sweep (stop hunts).
• Validation by expansion (closing above / below).
• Addition of confluence with patterns and ICT context.
• Attribution of a score to weight the final bias.

Practical Use

• The daily bias gives a main direction, not an entry signal.
• Prioritize setups in the direction of the bias (buy for bullish bias, sell for bearish bias).
• Avoid trading against the bias except in very specific cases.
• Combine this bias with intraday levels to optimize entries.
• A neutral bias indicates an uncertain market or range-bound conditions.

Calculation logic

• The calculation runs only when the user activates the scanner.
• The latest 24 hours provide the statistical baseline; observations from the latest 1H and 4H drive the intraday score.
• The four pillars add directly to 100 points.
• A bullish RSI divergence never increases downside risk.
• ACI-SCAN uses its directional score; activity, volatility and extension are contextual modifiers.
• The three most loaded pillars are shown as the main risk drivers.

Reading the score

• 0–24: Low risk.
• 25–49: Moderate risk.
• 50–74: High risk.
• 75–100: Extreme risk.
• The score describes downside-risk conditions; it is neither a sell signal nor a recommendation.
• PARTIAL DATA means a source, particularly ACI-SCAN, was temporarily unavailable.

Combined Reading

• EMA50Δ + EMA200Δ → price position relative to short and long-term trends.
• VWAPΔ → volume-based intraday bias.
• MACD + RSI → momentum confirmation.
• ATR → provides volatility context (important for interpreting Δ).
• Volume → validates the strength of the movement.

Interpretation Example

• EMA50Δ > 0 and EMA200Δ > 0 → strong bullish trend.
• EMA50Δ < 0 but EMA200Δ > 0 → pullback in a bullish trend.
• EMA50Δ < 0 and EMA200Δ < 0 → bearish trend.
• VWAPΔ < 0 → intraday selling pressure.
• Neutral RSI + low ATR → range-bound market.
• Very high EMA200Δ (>2 or < -2) → extended market, caution advised.

Practical Use

• Always combine trend (EMA) + momentum (MACD/RSI) + volume (VWAP/Volume).
• The Δ values allow for a quick and comparable reading across assets.
• Alignment of multiple signals reinforces the probability of a movement.
• Conflict between indicators = uncertain market or transition phase.

Correlation States

Strategic Analysis

• Timeframe: A decoupling on M5 may be noise, while a decoupling on H4 signals a structural underlying trend and major independence.
• Risk Management: In a "Coupled" state, the primary risk lies in Bitcoin's health. In a "Decoupled" state, analysis should focus exclusively on the asset's own technical structure.
• Alpha Opportunity: The "Decoupled" status is particularly scrutinized by traders looking for assets capable of performing even in a bearish or stagnant global (BTC) market.
• Confluence: Reading all three timeframes together helps verify if a change in behavior is a temporary anomaly or a lasting capital rotation.

1. Identification and Direction (Signal)

Defining the identity and directional bias of the algorithm:

• Bot Name: Unique identifier used in the dashboard, notifications, and event logs.

• Signal Direction:
  • BUY (Long): Exclusive search for reversal conditions or bullish continuation.
  • SELL (Short): Exclusive search for reversal conditions or bearish continuation.
  Note: Unidirectionality allows for indicator specialization based on market psychology (Bull vs Bear).

2. Asset Selection (Asset Management)

Defining the trading universe on which the bot operates:

• Manual Selection: Precise choice of pairs (e.g., BTC/USDC, ETH/USDC) to control exposure.
• Scan: Activation across all available assets within the subscription limit to capture a broader spectrum of opportunities.
• Monitoring: The number of monitored assets is dynamically displayed via a badge in the cockpit. The full list is accessible on hover.

3. Multi-channel Alert System

Signal broadcasting across multiple channels for optimal responsiveness:

• Email & Telegram: External notifications including signal details and the concerned asset.
• Logs (App-In push) & Diagnostics:
  • Counter (⚡): Real-time tracking of the number of signals detected. The Reset button allows for reinitialization after strategy modification.
  • Direct Access: The document icon provides instant access to filtered execution logs for the specific bot.

4. Logic Builder (ENTRY & EXIT)

Strategy construction using logical blocks: [Indicator] [Comparator] [Value].

• ENTRY (Inclusion): Mandatory conditions to generate an alert.
• EXIT (Exclusion): Safety conditions to invalidate a signal or signal a zone exit.

5. Confluence Objectives & Multi-Timeframe

Tolerance settings to filter market noise:

6. Operational Management

• Live Control: Activation (Play) or suspension (Pause) of bots via dashboard quick actions.
• Duplication: Fast creation of variants via the copy icon (e.g., testing on a different timeframe).
• Limits: A maximum number of simultaneously active bots is defined based on the subscription. Prior deactivation is required to activate a new one if the limit is reached.
• Security Backup: If the subscription expires, configurations remain stored in "OFF" mode and become active again after reactivation.

Prospective journal

An observation is created only when the bot emits a new notification. Levels and settings are frozen at that time; later bot changes never rewrite history.

Entry and result

• MARKET: entry at the notification reference price.
• LIMIT: entry only when the defined price is touched before expiry in minutes or candles.
• SL: initial risk distance, equal to 1 R.
• TP: calculated automatically from SL and RR.
• Gross R: result divided by initial risk.
• Net R: gross R after simulated entry and exit fees.

Statistics

• Observations: archived notifications.
• Entries: observations that opened a simulated position.
• Entry rate: entries / observations.
• Resolved: positions completed by TP or SL; expired, open and indeterminate rows are excluded.
• Win rate: TP / resolved results.
• Average R: average resolved gross result.
• Total R: sum of resolved gross results.
• Profit factor: positive R divided by the absolute value of negative R.
• MFE: maximum favorable excursion in R.
• MAE: maximum adverse excursion in R.
• Average duration: average time from entry to close.

Journal statuses

• WAITING_ENTRY: LIMIT not yet touched.
• OPEN: simulated position open.
• TP / SL: corresponding level reached.
• EXPIRED: LIMIT not filled before expiry.
• INDETERMINATE: TP and SL touched in the same candle, with unknown intrabar order.

This remains a simulation based on Crypto 24/24 reference prices and cannot fully model slippage, liquidity or exchange execution.

Controls and navigation

Search and favorites provide access to the eight supported assets. Choose a 6, 24 or 72 hour window. Extension and Transitions toggle the purple outlines and diamonds. Hover over the map or move the slider to compare the three timeframes at the same instant; Latest point returns to the right edge. Refresh reloads data on demand, without automatic updates.

Reading and methodology

Color is a descriptive index, not order flow or probability. Equal-weight average of (RSI − 50) / 50, the recorded price/EMA50 signal and structure code (−1 / 0 / +1). Bullish from +0.25, bearish at or below −0.25. A diamond marks a change maintained across two consecutive snapshots of the same engine, displayed at the second, never backdated. Purple outlines mark absolute EMA50 distance ≥ 2 ATR, a visual reference rather than a guaranteed reversal threshold. Empty cells mean missing or expired required data. Values become available no earlier than candle close and actual capture. No filling across versions or beyond one candle duration. Only recorded V2 data is used, without reconstructed history or intrabar signals. The three measures derive from price and are not independent.

Data and timestamps

The price comes from recorded M5 closes, not a live quote. Dates use your time zone. Updated refers to map generation. Missing, expired or old data must be distinguished from a neutral state.

Detection

A setup is published after a confirmed structure break and a valid impulse. LONG measures low to high; SHORT measures high to low.

Reading

• FAST 38.2%: shallow retracement.
• GOLDEN 61.8–78.6%: preferred CHOCH zone.

Scope

This page displays every raw Fibonacci structure that remains active. It provides no entry, TP, SL or performance: the levels are technical context only.

Scale

Notes

• Sweet spot → M5 ≥ 50 & H1 ≥ 30 in the same direction.
• Signed score → +score for UP, −score for DOWN.

Definition

A Fair Value Gap (FVG) is an imbalance created when price moves too quickly, leaving a "gap" between candle t and t−2. The market often returns to fill these zones.

Reading the Table

• Type → BULLISH or BEARISH FVG based on the direction of the imbalance.
• High / Low → upper and lower boundaries of the gap.
• Detection → date/time of detection on the selected timeframe.
• Status → Fresh, Touched, or Filled/Mitigated based on the zone state.
• Test delay → minutes elapsed between detection and the first test.

Statuses

• Fresh → never touched.
• Touched → first interaction with the zone.
• Mitigated → zone filled.
• Signal delay → delay between detection and first test.

Usage

• Price targets.
• Retest / Bounce zones.
• Confluence with OB, liquidity, and structure.

Definition

An Order Block (OB) is the last opposite candle before a significant impulse. It represents a zone where institutional players initiated a major move.

Reading the Table

• Type → BULLISH OB (red candle before bullish impulse) or BEARISH OB (green candle before bearish impulse).
• High / Low → zone boundaries. Color indicates if the current price is within or near the zone.
• Base (B) → timestamp of the candle forming the Order Block.
• Impulse (C) → timestamp of the candle validating the impulse.
• Status → Fresh, Touched, or Mitigated based on the zone state.
• Width → zone size (High − Low).

Validation Structure

• Base → last opposite candle before the move.
• Impulse → candle confirming the push (break of structure or strong momentum).

Statuses

• Fresh → intact zone, never touched.
• Touched → first interaction of price with the zone.
• Mitigated → zone consumed / invalidated.

Usage

• Institutional entries in the trend direction.
• Frequent retests before continuation.
• Confluence with FVG, liquidity, BOS/CHOCH.
• Width as a precision indicator (narrow = precise, wide = diffuse).

[] Proximity Filter

• Activates an "anti-noise" mode on the chart.
• Automatically hides zones too far from the current price.
• Only displays levels truly relevant for immediate trading.

This filter avoids visual clutter by showing only zones near the current price. FVG and OB located too far (beyond a defined threshold) are ignored to keep the chart clean and focused on price action.

[FVG] Fair Value Gap

• Red → Bearish FVG
• Green → Bullish FVG
• Thinner line: FVG already tested

Indicates imbalance zones where price may return to find equilibrium.

[OB] Order Blocks

• Red → Bearish OB
• Green → Bullish OB
• Thinner line: OB tested by price

Zones where institutions placed orders, key support/resistance levels.

[PATTERNS]

• Red → bearish pattern
• Green → bullish pattern

Automatic markers for chart patterns detected by the engine.

[H/L] High / Low

• Solid gray line → Current High / Low
• Dashed gray line → Previous High / Low

Used to identify supports, resistances, and trend invalidation zones.

[TL] Trendlines

0–100 index: the higher the score, the stronger the trend.

[S/R] Support / Resistance

• Yellow → support level (below price) or resistance (above price).
• The label indicates level strength: Weak, Normal, Strong, Very strong, or Extreme.

Identifies key zones for breakouts or bounces.

[FIBO] Fibonacci with BOS & CHOCH

• Classic levels → 0.382, 0.500, 0.618, 0.786 (likely reaction zones).
• BOS → Break Of Structure → confirmation of trend continuation.
• CHOCH → Change Of Character → potential reversal signal.
• Golden Zone (0.618–0.65) → key zone where CHOCH is most significant.
• BOS Entries → Fast (38.2%) and Slow (61.8%) depending on retracement depth.

Combines Fibo levels and market structure to identify entry zones and probable reversals.

[D‑RSI] RSI Divergences

• Green → bullish divergence (price down / RSI up).
• Red → bearish divergence (price up / RSI down).
• H-RSI → hidden divergence, continuation signal.

Highlights probable reversals or continuations based on price/RSI momentum.

[EMA] Exponential Moving Averages

• Orange → EMA50, medium-term trend.
• Blue → EMA200, long-term trend / market structure.
• Price above the EMAs → generally bullish structural bias.
• Price below the EMAs → generally bearish structural bias.
• EMA50 above EMA200 → trend structure generally more favorable to buyers.
• EMA50 below EMA200 → trend structure generally more favorable to sellers.

The EMA50 and EMA200 act as dynamic trend and structure references. They provide a quick view of the price position relative to medium- and long-term trends, as well as phases where the two moving averages converge, cross or move apart.

[BB] Bollinger Bands

• Middle line → 20-period simple moving average (SMA20).
• Upper band → SMA20 + 2 standard deviations.
• Lower band → SMA20 - 2 standard deviations.
• Narrowing bands → volatility contraction.
• Widening bands → volatility expansion.
• Price near the upper or lower band → extreme position within the volatility envelope, without constituting a reversal signal on its own.

Bollinger Bands provide a visual reading of volatility and the price position relative to its recent average. They are particularly useful for identifying compression phases, volatility expansion and directional market moves.

Purpose

The map relates price to Day, Week and Month levels already calculated by the platform. These are probable areas of order concentration, not direct observations of traders’ stops.

Buy-side and sell-side

• Buy-side liquidity sits above highs. A break followed by a close back below may create a bearish rejection.
• Sell-side liquidity sits below lows. A break followed by a close back above may create a bullish rejection.

Statuses

• FRESH: the level remains distant and untested.
• TESTED: price is close according to the existing proximity detector.
• SWEPT: a wick exceeded the five recent levels before reclaiming.
• CONSUMED: price is already beyond the displayed level.

Distance and ATR

Distance is shown as a percentage and, when ATR is available, in ATR multiples to compare assets with different volatility.

Equal Highs / Equal Lows

EQH groups several confirmed highs near the same price, while EQL groups confirmed lows. Proximity adapts to volatility and the asset tick size. When a calendar level overlaps an equal level, their labels are combined into one zone.

Bearish / Bullish

• SWEPT · BUY-SIDE — Potential bearish rejection
• SWEPT · SELL-SIDE — Potential bullish rejection

Informational reading · Estimated liquidity or a sweep is not an entry recommendation.

4D

4D combines four technical readings on the selected timeframe. It describes a market bias; it provides no entry, target or stop and never recommends a position.

RANGE · LEFT · TREND · EXTEND

• RANGE: price position within its local range.
• LEFT: proximity to support, resistance, Fibonacci, FVG, Order Blocks and trendlines.
• TREND: direction and strength of the dominant trend.
• EXTEND: overextension, RSI, swings and EMA200 proximity.

Interpretation

Each module returns −1 (bearish), 0 (neutral) or +1 (bullish). Their synthesis produces a bullish, bearish or non-dominant bias. A TREND/EXTEND conflict instead highlights top risk or a possible rebound zone.

1) Volume

Measures trading activity. A volume spike often validates a breakout or rejection. Without volume, moves are less likely to hold.

Reading: Strong volume in the direction of the candle with no strong opposite wick → +1. Strong volume on a clean bearish candle → −1. Otherwise 0.

Traps: News spikes can create false signals; cross‑check with SR/Trendline.

2) Support / Resistance (SR)

Levels where price frequently reacts. Support below, resistance above.

Reading: Usable support nearby → +1. Heavy resistance nearby → −1. Neutral zone → 0.

Traps: Weak SR breaks easily; prioritise levels tested multiple times.

3) Trendlines

Diagonal lines connecting highs/lows to visualise trend.

Reading: Active bullish trendline → +1. Active bearish trendline → −1. No structure → 0.

Traps: Avoid forcing the line; require multi‑touch and multi‑timeframe coherence.

4) Fibonacci

Retracements (e.g., 38.2%, 61.8%) to estimate re‑entry zones.

Reading: Bounce on buy zone (e.g., 61.8) → +1. Rejection on sell zone → −1. Otherwise 0.

Traps: Always combine with structure/volume; Fibo alone is not a plan.

5) Fair Value Gaps (FVG)

Price “voids” created by impulsive candles, often likely to be filled.

Reading: Bullish FVG below price → +1. Bearish FVG above price → −1.

Traps: FVG is not always filled immediately; consider context.

6) Order Blocks (OB)

Zones where large orders initiated an impulsive move (“institutional” supply/demand).

Reading: Bullish OB below, respected → +1. Bearish OB above, respected → −1. Otherwise 0.

Traps: Isolated OBs in noise are weak; look for confluence (SR, FVG, volume, trendline).

7) Candlestick patterns

Reversal/continuation formations (engulfing, doji, hammer, etc.).

Reading: Valid bullish pattern on support → +1. Bearish pattern on resistance → −1. Otherwise 0.

Traps: Micro‑patterns in the middle of a range have low value.

8) Wicks

Fast rejections: long wicks indicate order absorption.

Reading: Long lower wick on green candle → +1. Long upper wick on red → −1.

Traps: In extreme volatility, wicks are frequent; filter with volume.

9) RSI

0–100 oscillator (overbought/oversold) with dynamic behaviour (slopes/divergences).

Reading: RSI rising from 35–55 with bullish slope → +1. RSI ≥ 65 weakening → −1.

Traps: In strong trends, RSI can stay “high/low” for long periods.

10) MACD

Measures the gap between MACD and its signal line, normalised by ATR for comparability across assets.

Reading: meaningful positive gap → +1. Meaningful negative gap → −1. Otherwise 0.

Traps: MACD lags; it must confirm an M15 location and trigger.

Good practice

• Look for confluence → 3–4 aligned candles are stronger than a single extreme.
• Always have structure → level + trigger + invalidation (SL).
• The main M15 signal is confirmed on M5 and qualified by the H1 context.
• Adjust position size to volatility regime (ATR).

Score

The global score sits on a scale from −1 to +1:

Indicators

• Volume (impulse / absorption)
• Support & Resistance
• Trendlines
• Fibonacci retracements
• Fair Value Gaps (FVG)
• Order Blocks
• Candlestick patterns
• Wicks (upper/lower)
• RSI (momentum / zone)
• MACD (impulse / confirmation)

Label rules

• BULLISH when score ≥ +0.45, at least 2 locations and 2 triggers are bullish, with M5 confirmation.
• BEARISH when score ≤ −0.45, at least 2 locations and 2 triggers are bearish, with M5 confirmation.
• NEUTRAL otherwise; H1 context qualifies the signal without replacing the M15 calculation.

Notes

• The score remains neutral if too much data is missing or unconfirmed.
• Optimised for M15 scalping with M5 confirmation.
• Use alongside market context (BTC, global trend).

1) Average funding (24h)

Small periodic payment between longs and shorts to anchor perp price to spot. Funding > 0: longs pay; funding < 0: shorts pay.

Why? Reveals crowd bias and carrying cost. Extremes → imbalance.

DS10 reading: Strongly negative 24h average funding → +1 (too many shorts, contrarian). Strongly positive → −1 (too many longs, overheating).

Traps: High funding can persist in trends; don’t blindly fade it.

2) Funding persistence (72h)

Measures whether funding stays mostly on the same side for 3 days (3 slots/day).

Why? Consistent bias signals a lasting excess.

DS10 reading: ≥ 66% ≤ 0 → +1 (short surplus). ≥ 66% ≥ 0 with high average → −1 (long surplus).

Traps: Intensity matters as much as duration.

3) Perp premium (mark − index)

Difference between perp mark price and index (spot proxy). Positive: perp above; negative: below.

Why? Thermometer of immediate imbalance (too many aggressive buyers/sellers).

DS10 reading: Very negative premium → +1 (excess pessimism). Very positive → −1 (euphoria/overheating).

Traps: Highly volatile around announcements; cross‑check with OI and liquidations.

4) Open Interest variation (24h)

OI = value of open positions. We observe its 24h change.

Why? OI ↑ = leverage stacking; OI ↓ = deleverage/capitulation.

DS10 reading: Strong OI ↓ → +1 (cleaned environment). Strong OI ↑ → −1 (fragile if shock).

Traps: OI doesn’t show which side dominates.

5) Price vs OI quadrant (24h)

Combines price direction and OI direction to qualify regime (stacking vs deleverage).

Why? Essential context: price↓ & OI↓ = cleansing; price↑ & OI↑ = leverage building.

DS10 reading: Strong price↓ & strong OI↓ → +1 (flush done). Strong price↑ & strong OI↑ → −1 (leverage stacking).

Traps: Small variations don’t count; thresholds (Δprice, ΔOI) are used.

6) 3M annualised basis

Quarterly future vs spot, annualised. Basis + (contango) = future > spot. Basis − (backwardation) = future < spot.

Why? Medium‑term thermometer (carrying cost / sentiment).

DS10 reading: Basis ≤ 0% → +1 (stress, contrarian). Very high basis → −1 (euphoria/expensive carry).

Traps: Depends on asset (BTC≠ALTs) and time to expiry.

7) Taker buy/sell ratio (1h)

Ratio of aggressive buy volume to aggressive sell volume.

Why? Shows who is “taking” the book.

DS10 reading: Ratio ≤ 0.9 → +1 (sellers too aggressive). ≥ 1.1 → −1 (buyers too aggressive).

Traps: Noisy on low volume; cross‑check with premium/liquidations.

8) Global long/short ratio (1h vs 30d avg)

Share of long vs short accounts compared to its 30‑day average.

Why? Detects unusual opinion imbalance.

DS10 reading: Well below average → +1 (too many shorts). Well above → −1 (too many longs).

Traps: Doesn’t weigh position size; influenced by small accounts.

9) Net liquidations (24h)

Amount liquidated on long and short sides over 24h (forced closures).

Why? Liquidations reveal excess; extremes suggest technical rebound.

DS10 reading: Longs ≫ Shorts → +1 (long capitulation). Shorts ≫ Longs → −1 (short capitulation).

Traps: During events, both sides can cascade.

10) Funding pressure (funding × OI)

Average funding × average OI → estimate of the “tax” paid by the dominant side.

Why? The stronger the pressure, the more likely the market punishes the exposed side.

DS10 reading: Very negative pressure → +1 (shorts paying heavily). Very positive → −1 (longs paying heavily).

Traps: Aggregated indicator: always cross‑check with OI, premium and liquidations.

Good practice

• Prioritise confluence → 3–4 aligned candles outweigh a single extreme.
• Contrarian ≠ blindly counter‑trend → keep H1/D1 context.
• Asset‑specific calibration (BTC/ETH/ALTs) → volatility and liquidity differ.
• Always have a plan → invalidation (SL), position size, levels (SR/VWAP/EMA).

Score

The single score sits on a scale from −1 to +1. Neutral families remain in the calculation, so extreme values require genuine global consensus.

Without matching H1 price confirmation, the public score is capped at ±0.80. Values of ±1 are reserved for maximum confirmed consensus.

Derivative indicators

• Funding Rate (average level)
• Funding Persistence (continuous pressure)
• Premium (spot / futures deviation)
• Open Interest Variation
• Price / Open Interest Quadrant
• 3‑month Basis (market structure)
• Taker Buy/Sell Ratio (aggressiveness)
• Long/Short Ratio (trader positioning)
• Liquidations (squeeze / capitulation)
• Funding Pressure (combined funding + OI pressure)

Calculation logic

• Each indicator outputs a marker → −1 (bearish), 0 (neutral), +1 (bullish).
• Each marker is then confirmed by market context (trend, momentum, volume…).
• Only confirmed candles are included in the final score.
• The score is then normalised on the −1…+1 scale.

Signal rules

• BULLISH if aggregated score ≥ +0.40 (validated bullish confluence).
• BEARISH if aggregated score ≤ −0.40 (bullish excess / likely reversal).
• NEUTRAL otherwise (lack of confirmation or conflicting signals).

Interpretation

• DS10 measures derivative‑market imbalances (leverage, crowd, pressure).
• BEARISH signals are generally more reliable (top detection).
• BULLISH signals require more confirmations (bottoms are more complex).
• An extreme score often reflects excessive positioning (contrarian opportunity).

Notes

• The score remains neutral if too much data is missing or unconfirmed.
• Optimised for swing trading (H1).
• Use alongside market context (BTC, global trend).

Reading

SMC-FIBO analyses BOS/CHOCH structures, Fibonacci zones, liquidity, OB/FVG, price reaction, volume and multi-timeframe context.

Direction, confluence and status

• DIRECTION shows the LONG or SHORT orientation of the detected structure.
• CONFLUENCE, from 0 to 10, measures the number and quality of aligned elements; it is not a win probability.
• CONFIRMED means the internal structure, score and validation rules are met. WATCH means the structure remains incomplete. NO BIAS means no usable direction is validated.

Scope

The scanner reports structure, observed direction and technical confluences.

SMC-FIBO is an experimental analysis tool, not trading advice.

Reading LONG signals

Each asset displays a series of 7 indicators in candle form:

• Green → bullish family confirmed on at least 2 of 3 timeframes.
• Grey → indicator not validated.
• 5 + 2 separation → the first 5 indicators are priority, the last 2 act as confirmation.

Model structure (5 + 2)

• HIGH PRIORITY (5) → structure and market zones.
• LOW PRIORITY (2) → validation filters / timing.

Analysed LONG indicators

• CHOCH → bullish structure shift.
• SWEEP LOW → liquidity grab below lows (rebound setup).
• Proximity OB → proximity to a demand zone.
• Lower Wick Ratio → lower rejection → buying pressure.
• Volume BUY → confirmation through buying volume.
• Candle Direction → at least 2 of 3 candles point upward, excluding indecisive bodies.
• Impulse Regime → at least 2 of 3 timeframes are outside a range.

Interpretation

• The more green candles → the stronger the LONG confluence.
• The first 5 measure directional families; at least 3 are required for confluence.
• The last 2 describe candle confirmation and regime and cannot create direction alone.
• The verdict requires 3/3 coverage and explicitly reports LONG/SHORT conflicts.

Reading SHORT signals

Each asset displays a series of 7 indicators in candle form:

• Red → bearish family confirmed on at least 2 of 3 timeframes.
• Grey → indicator not validated.
• 5 + 2 separation → the first 5 indicators are priority, the last 2 act as confirmation.

Model structure (5 + 2)

• HIGH PRIORITY (5) → structure and market zones.
• LOW PRIORITY (2) → validation filters / timing.

Analysed SHORT indicators

• CHOCH → bearish structure shift.
• SWEEP HIGH → liquidity grab above highs.
• Proximity OB → proximity to a supply zone.
• Upper Wick Ratio → upper rejection → selling pressure.
• Volume SELL → confirmation through selling volume.
• Candle Direction → at least 2 of 3 candles point downward, excluding indecisive bodies.
• Impulse Regime → at least 2 of 3 timeframes are outside a range.

Interpretation

• The more red candles → the stronger the SHORT confluence.
• The first 5 measure directional families; at least 3 are required for confluence.
• The last 2 describe candle confirmation and regime and cannot create direction alone.
• The verdict requires 3/3 coverage and explicitly reports LONG/SHORT conflicts.

MTF-SYNC / LONG

Reading LONG signals

Each asset displays a series of 7 indicators in candle form:

• Green → bullish family confirmed on at least 2 of 3 timeframes.
• Grey → indicator not validated.
• 5 + 2 separation → the first 5 indicators are priority, the last 2 act as confirmation.

Model structure (5 + 2)

• HIGH PRIORITY (5) → structure and market zones.
• LOW PRIORITY (2) → validation filters / timing.

Analysed LONG indicators

• CHOCH → bullish structure shift.
• SWEEP LOW → liquidity grab below lows (rebound setup).
• Proximity OB → proximity to a demand zone.
• Lower Wick Ratio → lower rejection → buying pressure.
• Volume BUY → confirmation through buying volume.
• Candle Direction → at least 2 of 3 candles point upward, excluding indecisive bodies.
• Impulse Regime → at least 2 of 3 timeframes are outside a range.

Interpretation

• The more green candles → the stronger the LONG confluence.
• The first 5 measure directional families; at least 3 are required for confluence.
• The last 2 describe candle confirmation and regime and cannot create direction alone.
• The verdict requires 3/3 coverage and explicitly reports LONG/SHORT conflicts.

MTF-SYNC / SHORT

Reading SHORT signals

Each asset displays a series of 7 indicators in candle form:

• Red → bearish family confirmed on at least 2 of 3 timeframes.
• Grey → indicator not validated.
• 5 + 2 separation → the first 5 indicators are priority, the last 2 act as confirmation.

Model structure (5 + 2)

• HIGH PRIORITY (5) → structure and market zones.
• LOW PRIORITY (2) → validation filters / timing.

Analysed SHORT indicators

• CHOCH → bearish structure shift.
• SWEEP HIGH → liquidity grab above highs.
• Proximity OB → proximity to a supply zone.
• Upper Wick Ratio → upper rejection → selling pressure.
• Volume SELL → confirmation through selling volume.
• Candle Direction → at least 2 of 3 candles point downward, excluding indecisive bodies.
• Impulse Regime → at least 2 of 3 timeframes are outside a range.

Interpretation

• The more red candles → the stronger the SHORT confluence.
• The first 5 measure directional families; at least 3 are required for confluence.
• The last 2 describe candle confirmation and regime and cannot create direction alone.
• The verdict requires 3/3 coverage and explicitly reports LONG/SHORT conflicts.

What is the ACI?

The AltCoins Index (ACI) is a synthetic index based on a basket of alternative cryptos (excluding Bitcoin and Ethereum). It aims to capture the global flow of the altcoin market.

Displayed Values

The ACI module displays 4 main values to summarize the state of the altcoin market:

• Trend → SELL, BUY, or WAIT, calculated from the trends of all altcoins in the basket.
• Index → Global ACI score, a synthesis of technical indicators of altcoins from a base of 1,000 points established in June 2025.
• AVG Volume → Average volume of the altcoins composing the index, used to evaluate global intraday activity.
• AVG ATR → Average ATR of the altcoins, reflecting the average volatility of the basket.

Unlike a signal on a single asset, the ACI allows you to:

• Detect altcoin expansion phases (altseason).
• Identify periods of pullback or rotation towards BTC.
• Filter out individual false signals.

Score Construction

Each crypto in the basket contributes to the global score via 3 main indicators:

• EMA → Core trend
• RSI → Relative momentum
• MACD → Impulse

Scores are:

• Averaged across all assets.
• Weighted according to the timeframe.
• Dynamically adjusted via volatility and volume.

Integrated Macro Factors

• BTC Dominance → Structural pressure on altcoins.
• Fear & Greed → Global market sentiment.

Reading:

• BTC dominance ↑ → Unfavorable for alts.
• High Fear → Environment conducive to bullish movements.

Market Confidence (CPG)

The ACI integrates a measure of global participation:

• % of altcoins rising over a given timeframe.

This allows for:

• Amplifying a signal if the market confirms.
• Reducing it if the signal is isolated.

Best Practices

• Use the ACI as a market filter, not as a single trigger.
• Combine with price structure (range, liquidity, levels).
• Prioritize setups aligned with the ACI and for Swing Trading.

Pitfalls

• A positive ACI does not guarantee that all alts will rise.
• Possible lag during rapid reversal phases.

Overview

ACI Scan deliberately separates two types of information: the current market state and the statistical analysis of comparable historical configurations.

The LIVE MARKET STATE section describes what is currently happening in the altcoin market. The HISTORICAL EDGE section indicates whether the historical behavior of comparable configurations confirms, contradicts, or does not provide enough evidence to reinforce the current outlook.

ACI Scan is not a buy or sell recommendation. It provides a market-reading framework that should be complemented by technical analysis and appropriate risk management.

LIVE MARKET STATE

This section presents the current market state through a directional Score, an Outlook and five complementary dimensions.

SCORE

The Score represents the overall directional bias detected by ACI Scan. It ranges between -1 and +1.

A positive value indicates a context more oriented toward the upside, a negative value indicates a context more oriented toward the downside, and a value close to zero indicates a more balanced or indecisive market.

The Score is built from two directional components: Regime at 55% and Momentum at 45%.

Activity, Volatility and Extension are contextual dimensions: they help qualify the market environment but do not directly contribute to the directional Score calculation.

The Score measures market orientation, not the probability of an upward or downward move.

OUTLOOK

The Outlook translates the Score into a simple reading: BULLISH, NEUTRAL or BEARISH.

• BULLISH: Score greater than or equal to +0.35.
• NEUTRAL: Score between -0.35 and +0.35.
• BEARISH: Score less than or equal to -0.35.

It represents the current bias of the altcoin market. On its own, it is not a trading signal.

REGIME

Regime describes the overall structure of the altcoin market.

Reading: RISK ON corresponds to a structural environment favorable to risk-taking, RISK OFF to a more defensive environment, and NEUTRAL to an intermediate or insufficiently directional situation.

MOMENTUM

Momentum measures the directional dynamics currently being observed.

Reading: POSITIVE indicates bullish dynamics, NEGATIVE bearish dynamics, and NEUTRAL an absence of sufficiently pronounced momentum.

Momentum complements Regime: a Risk On environment does not necessarily mean bullish momentum is already present. Conversely, temporarily positive momentum may appear before the broader market structure has shifted to Risk On.

ACTIVITY

Activity measures the intensity of market activity using the Volume Ratio.

Reading: HIGH indicates above-normal activity, LOW reduced activity, and NORMAL an intermediate level.

Activity is not directional: high activity can accompany either an upward or downward move. It primarily indicates the intensity of participation in the current move.

VOLATILITY

Volatility describes the evolution of the current volatility regime using wATR.

Reading: EXPANDING indicates that the amplitude of market moves is increasing, CONTRACTING that it is decreasing, and NORMAL an intermediate regime.

Volatility is neither bullish nor bearish: it measures the intensity of fluctuations, not their direction.

EXTENSION

Extension indicates whether the market has moved away from its recent equilibrium zone. This measure is based on a 20-period z-score.

Reading: EXTENDED UP indicates an upward extension, EXTENDED DOWN a downward extension, and NORMAL a situation without significant extension.

An extension does not automatically mean that a reversal will occur. It mainly indicates that a move is already advanced relative to its recent behavior.

HISTORICAL EDGE

This section is distinct from Live Market State. It compares the current configuration with historical configurations recorded by ACI Scan.

The engine automatically searches for the most precise historical configuration compatible with the current market state. When a highly detailed configuration does not have enough usable history, the system may use a more general configuration supported by a larger number of observations.

Historical Edge does not modify the Outlook. It provides a second reading that helps determine whether comparable historical observations reinforce or contradict the current orientation.

EDGE

Edge compares the historical behavior of similar configurations with the current Outlook.

• CONFIRMING: the historical statistical orientation is aligned with the current Outlook.
• CONTRADICTING: the historical statistical orientation is opposite to the current Outlook.
• LIMITED: the available history does not show a sufficiently pronounced directional advantage.
• INSUFFICIENT: the available data is not sufficient to establish a sufficiently usable statistical estimate.

When the Outlook is NEUTRAL, Edge may also appear as BULLISH or BEARISH. In this case, the historical data shows a directional tendency while the current market state does not yet have a sufficiently pronounced directional bias.

Edge and Outlook therefore answer two different questions: Outlook describes the current orientation; Edge indicates what comparable historical behavior adds to that reading.

CONFIDENCE

Confidence measures the statistical robustness of the displayed Edge.

It is shown as LOW, MEDIUM or HIGH.

High Confidence does not mean the Outlook is more likely to be correct and does not represent a probability of success. It means that the Edge assessment is based on a more robust statistical foundation.

It is therefore entirely possible to have a LIMITED Edge with HIGH Confidence: in that case, the historical sample is robust enough to show that no significant directional advantage appears in the configuration being studied.

EXPECTANCY H1

Expectancy H1 represents the expected one-hour return calculated from comparable historical configurations.

A positive value reflects historical behavior favorable to the upside, a negative value behavior favorable to the downside, and a value close to zero indicates the absence of a pronounced directional advantage.

This measure is statistically adjusted to reduce the influence of configurations supported by only a small number of observations.

WIN RATE H1

Win Rate H1 indicates the proportion of comparable historical configurations whose return one hour later was positive.

For example, a Win Rate H1 of 55% means that 55% of comparable historical observations had a positive return one hour later.

Win Rate should be interpreted together with Expectancy: the frequency of positive returns alone does not indicate their magnitude relative to negative returns.

SAMPLES

Samples indicates the number of historical observations used to build the displayed statistic.

A larger sample generally provides a more robust estimate, without guaranteeing that future behavior will reproduce historical behavior.

LEVEL

Level indicates the degree of precision of the historical configuration being used.

• Level 1: Regime + Momentum.
• Level 2: Regime + Momentum + one additional context.
• Level 3: Regime + Momentum + two additional contexts.
• Level 4: Regime + Momentum + Activity + Volatility + Extension.

Additional contexts may be Activity, Volatility or Extension.

The engine prioritizes the highest available level of precision according to the statistics built. A lower Level is therefore not necessarily less relevant: it corresponds to a more general configuration, often supported by more historical observations.

How to read ACI Scan?

Start with LIVE MARKET STATE. Score and Outlook provide the overall market orientation. Regime and Momentum explain that orientation, while Activity, Volatility and Extension describe the environment in which it is developing.

Then review HISTORICAL EDGE. Edge indicates whether comparable history confirms or contradicts that orientation, Confidence indicates the robustness of that observation, Expectancy H1 and Win Rate H1 show historical results, Samples indicates statistical depth, and Level indicates the precision of the configuration being used.

The two sections are complementary but should not be confused: Live Market State describes the present; Historical Edge describes statistically comparable past behavior.

Reading example

A BULLISH Outlook combined with a RISK ON Regime, NEUTRAL Momentum and EXPANDING Volatility describes a structure favorable to the upside, but without clear directional acceleration in Momentum, in an environment where the amplitude of market moves is increasing.

If Historical Edge simultaneously displays LIMITED with HIGH Confidence, this means that the comparable historical data is sufficiently documented, but does not show a significant directional advantage. The Outlook remains Bullish: Edge simply indicates that the historical data does not reinforce that bias.

Key points

• Score / Outlook: what is the current market orientation?
• Regime: is the structure Risk On, Risk Off or neutral?
• Momentum: what is the current directional dynamic?
• Activity: how intense is market activity?
• Volatility: is the amplitude of market moves increasing or decreasing?
• Extension: is the market far from its recent equilibrium?
• Edge: does comparable history confirm or contradict the Outlook?
• Confidence: how statistically robust is the Edge?
• Expectancy H1: what average one-hour return was historically observed?
• Win Rate H1: what proportion of observations was positive after one hour?
• Samples: how many observations support the statistic?
• Level: what degree of historical precision is being used?

Historical statistics and market indicators do not guarantee future performance. ACI Scan should be used as a contextual analysis tool and not as a standalone trading recommendation.

How to read this map

Constellation positions group sectors; they do not represent economic distances. The other two views use numeric axes. Color represents performance over the selected period. Bubble size is configurable and does not represent market capitalization. Filters and statistics cover assets returned by the API, not the entire market.

Indicators use the selected timeframe; returns use their own period. ATR / open is converted to a percentage. EMA50 distance is shown as an absolute value. Missing values remain unknown. Animation is decorative and does not simulate transactions or capital flows. This is a snapshot, not a replay or trading recommendation.

Times refer to candles, not a freshness guarantee for every indicator.

Trend × extension: the horizontal axis measures (EMA50 − EMA200) / ATR. A positive value means EMA50 is above EMA200; a negative value means the opposite. The gap is continuous and does not measure the slope of the averages. The vertical axis measures the absolute distance from price to EMA50 in ATR units. The horizontal scale is symmetric around zero and adapts to the filtered assets. Assets with missing EMAs or missing or non-positive ATR are excluded from this view.