Sentiment dashboards often show broad market emotion without connecting it to realized trader outcomes and tail-risk behavior.
Data Analysis / Risk Context
Bitcoin Sentiment Analysis and Trader Behavior Study
A historical analysis of crypto trader behavior across market sentiment regimes, using robust statistics and visual risk summaries.
Main result211K+trades analyzed
accounts32
symbols246
trading dates479
robust OLSHC3
Built a merged analysis across trades, accounts, symbols, dates, and sentiment regimes with robust regression and regime-level risk charts.
The report frames sentiment as a risk-context variable, not a standalone trading signal or causal explanation.
Workflow
01Merge data
02Validate fields
03Regime split
04Tail risk
05Report
Role and technical focus
Data validation, feature engineering, statistical analysis, reporting
PythonPandasStatsmodelsMatplotlibEDARegression
Notes
- The analysis is observational and historical, not financial advice.
- Findings are presented as risk context, not causal trading signals.
- Dataset coverage: 2023-05-01 to 2025-05-01.
Project media