ENTRY & EXIT conditions

The engine relies on two distinct pillars to manage the lifecycle of positions:

• ENTRY (inclusion): defines the required criteria to authorize the opening of a setup. Quality filter for opportunities.
• EXIT (exclusion): defines the signals that force the closing of a position or invalidate an ongoing setup (capital protection).

Anatomy of a criterion

Each filter is composed of three inseparable elements for maximum precision:

• FIELD: monitored indicator or data (RSI, Price, Volume, Delta...).
• OPERATOR: mathematical comparison logic (>, <, =, <>, etc.).
• TARGET: threshold value required to validate the criterion.

Multi‑Timeframe & Confluence

Risk management optimization through separation between main structure and confirmation:

• Timeframe: ability to require a high validation level (e.g., 100%) on the main timeframe.
• Confluence: ability to allow more flexible confirmation on a secondary timeframe (e.g., 50%) to capture early signals while staying aligned with the broader trend.

Control & Transparency

Complete interface dedicated to bot management and monitoring:

• Monitoring: real‑time visualization of the number of signals detected per bot.
• Diagnostics: access to execution logs for each bot to fine‑tune parameters.
• Multi‑Channel: instant alerts via Email, Telegram, or integrated logs.

Statistical simulation: no real order is executed. SL defines risk and RR automatically calculates TP.

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.

Fair Value Gap (FVG)

An FVG is an imbalance zone where price “skipped” an interval without trading. These gaps are excellent markers for anticipating market movements.

• Bullish → gap created after a strong bullish impulse.
• Bearish → gap created after a strong bearish impulse.

Order Blocks (OB)

Zones of high concentration of institutional orders. Price often reacts when returning to these zones, offering potential support or resistance levels.

Advanced Parameters

• Status → Open / Tested to track zone validity.
• Test delay → time elapsed before price returns to test the zone.
• Minimum size → filters out gaps that are too small and insignificant.

Practical Use

Place limit orders directly inside identified zones to benefit from an excellent risk/reward ratio. Ideal for optimizing entries and exits.

Market Patterns

Patterns are recurring price configurations that help anticipate market behavior and plan trades more effectively.

Signal Types

• Continuation → indicates that the current move is likely to continue.
• Reversal → signals that the current trend may reverse.

Real-Time Analysis

Bots detect and classify patterns to continuously identify the most relevant opportunities.

Statistical Evaluation

Each pattern is rated based on:

• Its statistical weight to measure relevance
• The number of detections over the analyzed period
• Its historical success rate

Bullish Patterns

• Bullish Engulfing → bullish reversal pattern where a large green candle fully engulfs the previous red candle.
• Doji Reversal → a Doji is an indecision candle where open and close are nearly identical, potentially signaling a reversal.
• Hammer → bullish candle with a long lower wick, indicating rejection of lower prices and possible reversal.
• Inverted Hammer → bullish candle with a long upper wick, signaling potential reversal after a decline.
• Morning Star → three‑candle pattern indicating progressive bullish reversal after a downtrend.
• Three White Soldiers → three consecutive bullish candles with small wicks, showing strong buying momentum.
• Marubozu Bullish → full candle without wicks, showing strong buying pressure.
• Bullish Double Bottom → double bottom on support, validated after breaking the intermediate resistance.

Bearish Patterns

• Bearish Engulfing → bullish candle followed by a large bearish candle engulfing the previous one, signaling reversal.
• Evening Star → three‑candle pattern (rise, hesitation, strong drop), indicating a top.
• Shooting Star → small body with long upper wick, showing rejection of high prices and selling pressure.
• Bearish Double Top → double top on resistance, confirmed after breaking the intermediate support.
• Bearish Head and Shoulders → structure with a head and two shoulders, validated by neckline break.

One map, three timeframes

Does an M5 rebound tell the same story as M15 and H1? Price and the three pressure bands share one timeline, making it easier to see whether a move remains local or accompanies a change across higher timeframes.

References that make a difference

• Readable pressure: colors and a signed index let you compare the three timeframes at a glance.
• Confirmed transitions: a diamond highlights a change maintained across two consecutive snapshots.
• Visible extensions: a purple outline marks price at least 2 ATR away from its EMA50.

Explore the context, build your scenario

Choose 6, 24 or 72 hours, then hover over the map or move the slider. On-chart indices and detailed cards follow the same instant. Distinguish alignment from a divided market before building your scenario.

Eight assets, a focused view

Available on PRO and ELITE for BTC, ETH, SOL, BNB, XRP, LINK, AVAX and DOGE. The map uses closed-candle snapshots and refreshes on demand. It describes observed conditions without predicting the next move.

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.

Understanding the acronyms

• CDH / CDL: Current Day High / Low → highest and lowest levels of the current day.
• PDH / PDL: Previous Day High / Low → highest and lowest levels of the previous day.
• CWH / CWL: Current Week High / Low → highest and lowest levels of the current week.
• PWH / PWL: Previous Week High / Low → highest and lowest levels of the previous week.
• CMH / CML: Current Month High / Low → highest and lowest levels of the current month.
• PMH / PML: Previous Month High / Low → highest and lowest levels of the previous month.

Current vs Previous

• Current: levels in formation → evolve in real time with the market.
• Previous: fixed levels → key zones often used as support / resistance.

Previous levels are particularly important because they represent zones validated by the market.

Cell interaction

• Click a cell to switch between % and actual price.
• The percentage shows the distance between the current price and the level.
• The price shows the exact zone to trade.

Reading the zones (trading)

• Near a Low (green) → potential buy zone.
• Near a High (red) → potential sell zone.

These zones are detected automatically when the price is close (≈ 1%).

Using sorting to find opportunities

• Sort by the Low column → to find assets near their lows (buy opportunities).
• Sort by the High column → to find assets near their highs (sell opportunities).
• Combine with timeframes (day / week / month) to refine your strategy.

Strategic advice

Do not trade solely based on a High/Low level — use it as a reaction zone combined with:

• Trend
• Momentum
• Other indicators

High/Low then becomes a powerful tool to time entries with precision.

Four-dimensional analysis

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: 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.

A reading, not an instruction

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).

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).

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.

Overview

• Five directional families: CHOCH, liquidity sweep, OB proximity, wick rejection and directional volume.
• A family is confirmed when at least 2 of the 3 timeframes converge in the same direction.
• Two context confirmations complete the reading: candle direction and a majority impulse regime.

Filtering and safety

• BULLISH CONFLUENCE or BEARISH CONFLUENCE requires at least 3 of 5 directional families, without opposite dominance.
• CONFLICT reports simultaneous bullish and bearish evidence; NEUTRAL means convergence is insufficient.
• INCOMPLETE means one or more required timeframes are unavailable.

Dynamic multi‑timeframe analysis

• Two horizons: M5 using M1/M5/M15 and H1 using H1/H4/D1.
• LONG and SHORT scores expose the 5+2 detail and are not win probabilities.
• MTF-Sync is a technical analyser: it provides no entry, target, stop or investment advice.

Global altcoin market index

Measures market sentiment on a scale from -1 to +1:

• -1 : strong selling pressure
• 0 : neutral market
• +1 : strong buying bias

Multi‑indicator technical analysis

Each asset composing the index is evaluated through:

• EMA → moving average to detect trend.
• RSI → relative strength and overbought/oversold zones.
• MACD → momentum and reversal signals.

Dynamic adjustments

• Global market volume to weight signal reliability.
• ATR to adjust indicator weight based on volatility.
• BTC Dominance and Fear & Greed Index to capture macro‑market influence.

Synthetic score and trend

Individual scores are aggregated and weighted to produce:

• Final score between -1 and +1.
• Clear trend (BUY / SELL / WAIT).
• Filtering and amplification based on % of altcoins in the green (CPG).

Use for traders

• Identify leverage and deleveraging zones.
• Detect volatility extremes and macro opportunities.
• Synchronize spot and derivatives decisions.
• Filter opportunities, optimize TP/SL, or feed automated strategies.