Jupyter Notebook
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
★ 983
Stars
144 forks · 0 open issues
−1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
8.7
Momentum / 100
see the breakdown below
8y ago
Created
last push 7y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | −1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 7y ago; decays to zero at 180 days |
| Scale | 15 | 8.7 | 983 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 8.7 | sum of the above |
Detail
| Topics | calculuscoding-interviewsdata-sciencedeep-learningfinanceinterview-preparationinterview-questionslinear-algebramachine-learningnumerical-methodsoptimizationprobabilitypythonquantquantitative-financequantitative-tradingstatistics |
| Matched on | Finance (quantitative-finance) |
| Short window | +-1 stars over 7 days = -0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.30 stars/day over 3,275 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |