Market Prediction
AI-generated directional forecasts with trade setups, scenarios, and signal alignment.
Market Prediction is an optional analysis tier that sits on top of the base indicator report. Rather than simply describing current conditions, the prediction layer produces a forward-looking assessment: a directional call, probability-weighted scenarios, and a fully structured trade setup with entry, stop-loss, and multiple take-profit targets.
Two prediction tiers are available, differing in reasoning depth and the AI model used. Both draw from the same base indicator data, but the Advanced tier applies a more powerful AI model with extended reasoning capacity for higher-conviction setups.
Prediction Tiers
| Tier | Extra Cost | AI Model | Best For |
|---|---|---|---|
| Standard | +5 credits | Fast AI model | Quick directional reads, high-frequency decisions |
| Advanced | +15 credits | More powerful AI model | High-stakes setups requiring deeper reasoning |
What the Prediction Produces
Direction and Confidence
The primary output is a directional call — Bullish, Bearish, or Neutral — accompanied by a confidence score rendered as a visual bar. The confidence level reflects the degree of agreement across all active indicators and any add-on data layers included in the request. A high-confidence reading means most signals are aligned; a low-confidence reading indicates a contested or transitional market structure.
Three Probability-Weighted Scenarios
The AI generates three distinct outcome scenarios, each assigned an estimated probability. The scenarios cover the three primary market directions:
| Scenario | Description |
|---|---|
| Bullish | Conditions and price targets if upside continuation plays out |
| Sideways | Consolidation range and expected duration if momentum stalls |
| Bearish | Downside path and invalidation levels if the structure breaks down |
Probabilities are assigned based on indicator confluence, volume context, and cycle positioning (if Cycle Pulse is included). The three scenarios always sum to 100%.
Trade Setup
For the highest-probability scenario, the AI generates a complete trade setup:
| Field | Description |
|---|---|
| Entry | Recommended entry price or entry zone |
| Stop Loss | Invalidation level where the setup is no longer valid |
| TP1 | First take-profit target — conservative, high-probability level |
| TP2 | Second take-profit target — mid-range extension |
| TP3 | Third take-profit target — maximum extension if momentum holds |
| R:R Ratio | Risk-to-reward ratio calculated from entry to each TP against the stop |
News Sentiment Analysis
The prediction layer incorporates a sentiment check against recent news events related to the asset. Positive news flow adds weight to bullish scenarios; negative or high-uncertainty news reduces confidence and may push the AI toward a Neutral stance regardless of technical signals. This prevents the model from generating high-confidence calls into known fundamental headwinds.
Signal Alignment Summary
A compact summary table lists each active indicator alongside its current directional bias (Bullish, Bearish, or Neutral). This lets you see at a glance how many signals are in agreement, which are diverging, and how the add-on layers contributed to the final prediction weighting.
How Add-on Data Enriches Predictions
Including add-on indicators materially improves prediction quality. MACD Histogram data tightens momentum timing. Thermal Map volume profile helps the AI set more precise entry and TP levels aligned with institutional value zones. Cycle Pulse adjusts the probability distribution — bearish scenarios receive higher weight at elevated cycle risk scores. Smart Flow order flow data improves the stop-loss placement by anchoring it below identified liquidity zones rather than arbitrary percentage levels.