AI-assisted financial research
Financial Research Platform
A personal research platform for studying market data, evaluating trading ideas, and exploring AI-assisted decision support.
Research in progressPrivate application
Exploratory research only. No claims of profitable strategies or future investment performance.
Research question
Connect market observations, quantitative hypotheses, and risk-aware evaluation without confusing a historical result with evidence of future performance.
Research goals
- Analyze market data to formulate research questions.
- Explore quantitative methods and compare research assumptions.
- Evaluate trading strategies as testable hypotheses.
- Use backtesting to study historical behavior and its limitations.
- Assess risk and sensitivity across different assumptions.
- Explore AI-assisted synthesis of research context and evidence.
Conceptual research workflow
Market observations
Research question
Historical evaluation
Risk-aware review
Review refines the next research question and the assumptions to examine.
Engineering challenges
- Maintaining data quality and reproducible comparisons.
- Avoiding look-ahead, selection bias, and overfitting in historical evaluation.
- Making assumptions and uncertainty visible alongside results.
- Separating AI-generated explanations from evidence that supports a decision.
Technology stack
- Python
- Streamlit
- pandas
- Plotly