“OSYSTIC demonstrated strong technical understanding throughout the TradingView research project. The work was structured, data-driven, and carefully validated, with clear communication and a professional approach to refining the analysis and implementation.”
TradingView Rejection Research Pipeline
OSYSTIC engineered a repeatable minute-level market research workflow featuring robust data validation, technical feature engineering, and chronological model validation.
“OSYSTIC demonstrated strong technical understanding throughout the TradingView research project. The work was structured, data-driven, and carefully validated, with clear communication and a professional approach to refining the analysis and implementation.”
The challenge
Building a repeatable research workflow for minute-level market data, rejection/continuation features, and chronological model validation while avoiding leakage from random train/test splitting.
What OSYSTIC built
OSYSTIC implemented a private research flow performing chunked OHLCV acquisition, rigorous data-quality checks, ATR and relative-volume feature engineering, structural/event feature extraction, and time-ordered modeling baselines.
Engineering Highlights
- Added explicit checks for missing values, dead candles, time gaps and invalid price structure.
- Engineered ATR, relative-volume and structural/event features from minute-level market data.
- Preserved chronological train/test separation to reduce look-ahead leakage.
- Retained feature-audit and baseline-modelling steps alongside the research pipeline.
- Kept raw/licensed datasets and API credentials outside the public showcase.
Capabilities
- Data Quality Assurance
- Feature Engineering
- Chronological Validation
- Research Pipeline Development
Public Evidence Boundary
This repository contains sanitized public proof only. Raw/licensed datasets, API keys, client identity, private research outputs, and commercial information remain strictly private.
Outcomes and validation
- Successfully delivered documented minute-level market-research workflow with verified data-quality, feature, and walk-forward validation methodology.
Related engineering expertise
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