Market Data Analytics Platform
Real-time market data collection, storage, and analytics platform with ML-based pattern recognition.
What it does
Built a scalable data platform that collects real-time market data from multiple sources, stores it efficiently, and provides analytics tools. Includes ML models for pattern recognition and anomaly detection.
Technologies used
Key features
- Real-time data ingestion from multiple sources
- Time-series database optimization with TimescaleDB
- Technical indicator calculation engine
- ML-based pattern recognition (Head & Shoulders, Double Top/Bottom)
- Custom indicator builder
- Backtesting data API
- Data visualization dashboard
Technical challenges
Handling high-frequency tick data and ensuring data consistency across multiple sources. Implemented efficient storage with compression and partitioning.
Results & impact
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Case-study documentation
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Project problem
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Proposed solution
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System architecture
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Data sources
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Risk controls
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Backtesting methodology
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Verified results
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Limitations
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Screenshots and charts
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