Explainable
Define the hypothesis, inputs, and outputs before discussing performance.
INDEPENDENT QUANT RESEARCH INFRASTRUCTURE
An evolving quant research project spanning point-in-time data, factor validation, portfolio targets, local RQAlpha execution, market constraints, and evidence preservation. Momentum is the first case study; the research infrastructure is the long-term product.
RESEARCH PORTAL
Each factor, strategy, and release has its own entry point, so future research can be added without rebuilding the portfolio.
Hypotheses, formulas, inputs, validation methods, implementation, and limitations.
1 researched factor ↗02Portfolio construction, rebalance rules, execution lag, and target weights.
1 strategy baseline ↗03Clear contracts across data, research, signals, execution, storage, and reporting.
End-to-end loop complete ↗04Symptoms, root causes, repair decisions, verification evidence, and lessons learned.
2 major milestones ↗05Traceable backtest evidence, dataset scale, and explicit research boundaries.
Generated from real CSVs ↗06All A–R tasks and statuses synchronized from the bilingual README files.
286 long-term tasks ↗RESEARCH STANDARD
Define the hypothesis, inputs, and outputs before discussing performance.
Preserve configuration, weights, trades, positions, and results—not only a chart.
Treat failed orders, look-ahead risk, dynamic membership, and costs as research boundaries.
Separate verified, in-progress, and planned work; a research prototype is not a production platform.
LATEST MILESTONES
Separated target weights from filled positions and retained retryable rejections instead of marking requests as complete.
Built historical membership, suspension, ST, listing-age, price-availability, and final eligibility masks.