How AI transforms raw market data into actionable trading setups using Smart Money Concepts.
A trading scenario is an AI-generated trading setup that combines real-time Smart Money Concepts (SMC) analysis across multiple timeframes into a single actionable plan. Each scenario specifies a direction (long or short), an entry zone, a stop loss, up to three take profit targets (TP1, TP2, TP3), a risk-reward ratio, and a confidence score from 0 to 100%. Scenarios are not predictions — they are structured decision frameworks that tell you where to enter, where to exit, and where to cut losses if the thesis is wrong.
Most retail traders fail because they trade on impulse — entering without a plan, moving stops, and chasing price. A trading scenario eliminates this by defining every parameter before the trade begins: where to enter, where to take profit, and where to accept the loss.
Scenario-based trading enforces discipline. When every trade follows the same structure — entry zone, stop loss, targets, confidence score — you can measure performance objectively. Over time, you know your win rate, average R-multiple, and expectancy, which removes emotion from the process.
The optimal price range to enter the trade. Calculated from the confluence of order blocks, fair value gaps, and support/resistance levels across multiple timeframes.
A protective price level placed beyond the nearest structural invalidation point. If price reaches the stop loss, the scenario thesis is wrong and the trade is exited automatically.
Three graduated profit targets at key resistance (long) or support (short) levels. TP1 is the most conservative, TP3 the most ambitious. Targets are monitored sequentially — TP2 activates only after TP1 is hit.
A 0–100% rating based on how many SMC signals align. Higher scores mean more confluence between structures (BOS, FVG, Order Blocks, liquidity) across multiple timeframes.
Each scenario is associated with a timeframe (15m, 1H, 4H, or 1D). The AI selects timeframes dynamically based on where the strongest SMC structures are forming.
Real-time OHLCV (Open, High, Low, Close, Volume) candle data is fetched from Binance for the selected symbol across four timeframes: 15-minute, 1-hour, 4-hour, and daily. This provides both granular price action and the broader market context.
The algorithm scans each timeframe for Smart Money Concepts structures: Break of Structure (BOS) for trend continuation, Change of Character (CHoCH) for reversals, Fair Value Gaps (FVG) for imbalance zones, Order Blocks for institutional accumulation/distribution, and liquidity levels where stop losses cluster.
Candlestick patterns (Hammer, Inverted Hammer, Morning Star, Shooting Star, Hanging Man, Evening Star) are detected on each timeframe. The market regime classifier determines whether the market is trending, ranging, compressing, or expanding — informing whether the scenario should follow the trend or anticipate reversal.
All detected structures, patterns, and regime data are passed to Amazon Bedrock (Claude AI), which synthesises them into a complete trading scenario. The AI determines direction (long/short), places the entry zone at an optimal SMC level, sets the stop loss beyond structural invalidation, calculates up to three take profit targets, computes the risk-reward ratio, and writes a human-readable explanation of the trade thesis.
Once published, the scenario is monitored every 5 minutes. Notifications fire when price approaches the entry zone (within 0.3%), touches the entry for the first time, retests the zone with SMC validation, hits targets (TP1 → TP2 → TP3 sequentially), or breaks the stop loss (invalidation).
Smart Money Concepts (SMC) is a trading methodology that decodes how institutional traders — hedge funds, banks, and market makers — move price. Rather than following lagging indicators, SMC identifies the structural footprints institutions leave in the order flow.
Break of Structure occurs when price breaks above a previous swing high (bullish BOS) or below a previous swing low (bearish BOS). It confirms the existing trend direction and signals that institutional flow is still in control. BOS is the primary building block of SMC trend analysis.
Change of Character is the first structural break in the opposite direction of the current trend. In an uptrend, CHoCH happens when price breaks below the most recent higher low. It signals that institutions may be repositioning and a trend reversal could be forming. CHoCH is often followed by a new BOS in the new direction.
Fair Value Gaps are three-candle patterns where aggressive institutional buying or selling creates a visible gap between the first candle's wick and the third candle's wick. These gaps represent price imbalance — areas where orders were not fully filled. Price has a strong tendency to return to FVGs to rebalance, making them reliable entry zones.
An order block is the last opposing candle before a significant move — the last bearish candle before a bullish move, or the last bullish candle before a bearish move. These mark zones where institutions accumulated or distributed positions. When price returns to an order block, it often reacts strongly because unfilled institutional orders remain at that level.
Liquidity refers to clusters of stop losses sitting above swing highs and below swing lows. Institutions need liquidity to fill large orders, so they engineer price moves (liquidity sweeps) that trigger these stops before reversing. Identifying where liquidity pools sit — and when they've been swept — is critical for timing entries and avoiding false breakouts.
The AI detected a bullish Break of Structure on the 4H timeframe — price broke above the previous swing high, confirming uptrend continuation. A Fair Value Gap between $94,200 and $94,800 was identified on the 1H chart, representing an unfilled imbalance zone. This FVG aligns with a daily Order Block at the same level, creating strong confluence.
Before the BOS, a liquidity sweep below $93,800 grabbed retail stop losses, a classic institutional pattern before a reversal. The stop loss is placed at $93,100 — below the structural invalidation level. The three take profit targets align with the next resistance levels identified by the AI.
The 78% confidence score reflects high confluence: 4H BOS + 1H FVG + 1D Order Block + liquidity sweep + bullish market regime. Once published, the scenario is monitored every 5 minutes. Notifications fire when price approaches the entry zone, hits targets, or breaks the stop loss.
Real-time OHLCV candle data from Binance across 15m, 1H, 4H, and 1D timeframes. AI analysis is powered by Multiple AI models.
New scenarios generate when significant SMC structures form, aligned with ICT Kill Zone sessions (Asian, London Open, NY Open). Price monitoring runs every 5 minutes.
A 0–100% rating reflecting how many SMC signals align. Higher scores mean more confluence between BOS, FVG, Order Blocks, and liquidity across multiple timeframes.
Yes. The Ultimate plan provides REST API access with all scenario data in JSON format. Integrate with trading bots via api.trading-scenarios.com/v1.
15-minute, 1-hour, 4-hour, and daily timeframes simultaneously. The AI detects HTF/LTF confluence for higher-probability setups.
Start with free BTC and ETH analysis. No credit card required.
Open in Telegram arrow_forward