02 / Projects
Adaptive Cognitive AI Bot
An experimental decision system that combines market data, multi-timeframe analysis and adaptive scoring.
The project is shown at the level of problem, architecture and capabilities; some implementation details remain reserved.
01 · The problem
Single-model, single-timeframe decisions break when the regime changes. The useful question is how to combine signals, risk and feedback without pretending certainty.
02 · The idea
Build a decision system, not a prediction toy. Separate data, features, scoring, risk and execution.
03 · The system
Market data, multi-timeframe analysis, technical features, machine learning, selective neural models, adaptive scoring, risk management, execution and feedback.
04 · The implementation
Modular pipeline with explicit risk gates. Models are used where they earn their place. No unverifiable performance claims.
05 · The next step
Continue R&D on regime detection, scoring stability and safer execution constraints.
The architecture
- 01 Market data
- 02 Features
- 03 Scoring
- 04 Risk
- 05 Decision
- 06 Execution
- 07 Feedback
Technologies
- Python
- WebSockets
- FastAPI
- SQLite
Categories
AI · Automation · Data