Kalman-Driven Price Action AI
1. Overview
Kalman-Driven Price Action AI is an AI-powered analysis engine integrated into the SezAI Prediction Engine module of the CDDStamp platform. The system isolates trend reversals using the ZigZag algorithm, identifies balance zones through Order-Block (OB) structures, and applies a Kalman-like predict-correct loop to enhance signal accuracy. The goal is to deliver noise-filtered, statistically validated, and context-aware trade levels for traders.
2. Timeframes and Priority Order
The system runs daily scans across multiple Kline (time intervals). The importance of each timeframe is directly tied to the duration and reliability of its signals:
30m (30 minutes)
Short-term trading opportunities. Suitable for scalping or intraday strategies.
⚡️ Fast signals, highest volatility
1h (1 hour)
Ideal for day trading. Balances between short and medium-term setups.
🔹 Balanced signals
4h (4 hours)
Best suited for swing trades or 1–3-day positions. Trend reversals here are more stable.
⭐️ Most reliable
1d (1 day)
Confirms macro trends. Essential for strategic entry/exit planning.
🧠 Primary trend confirmation
Recommendation: Traders using short-term signals (30m or 1h) should always confirm direction with higher timeframes (4h or 1d). When multiple timeframes align in the same direction, it indicates a high-confidence trend.
3. Interface Usage
The interface displayed in the image allows you to explore and filter AI signals easily:
Exchange Selection: Choose among Binance, BingX, Bitget, Bybit, or OKX.
Date Range: Filter signals generated within a specific period.
Kline / Side Filters:
Kline → Select which timeframe’s signals to view.
Side → Filter Long or Short signals.
Columns Explanation:
Signal Time: Timestamp of the detected signal.
Symbol / Exchange: Trading pair and exchange source.
Entry / TP / SL: AI-generated entry, take-profit, and stop-loss levels.
4. Understanding the Signals
Entry: Represents the validation point of the OB structure where the signal occurs. Recommended entry level for opening a position.
TP (Take Profit): Target level calculated automatically using ATR, Fibonacci, or fixed risk/reward ratios.
SL (Stop Loss): Risk boundary set by ATR, signal candle, or OB limit.
Strategic Use:
Short-term strategies: Prioritize signals with strong TP/SL ratios.
Medium-to-long-term strategies: Avoid counter-trend trades against the 4h or 1d direction.
Volatile sessions: Use momentum indicators alongside 1h or 30m signals.
5. Example Table
ZKJUSDT
30m
LONG
0.0953
0.1017
0.0915
ZECUSDT
4h
SHORT
246.32
175.05
289.08
ZRCUSDT
1h
LONG
0.01596
0.01668
0.01553
Interpretation:
The ZECUSDT 4H signal indicates a bearish OB breakdown; if 30m or 1h signals conflict, the 4H trend takes priority.
The ZRCUSDT 1H long signal can be followed if the 4H is neutral, but strict risk management is required when the 1D trend is opposite.
6. Strategic Recommendations
Multi-Timeframe Confirmation: Always ensure 30m or 1h entries align with 4h and 1d trend directions.
Noise Filtering: Repeated signals across multiple exchanges for the same pair indicate stronger reliability.
Volatility Timing: Signals generated around New York or London session openings (1h and 4h) tend to have higher impact.
Risk Management: Ignore trades with TP/SL ratios below 1:2.
7. Conclusion
Kalman-Driven Price Action AI differs from traditional indicators by focusing on statistical prediction and structural price behavior. The signals serve as directional confirmation for manual traders or trigger points for automated trading systems.
Each signal is continuously evaluated within SezAI’s adaptive learning model — resulting in progressively higher accuracy over time.
Last updated