Jupyter Notebook · MIT
letianzj/QuantResearch
Quantitative analysis, strategies and backtests
★ 3.1k
Stars
582 forks · 2 open issues
+1.1/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
26.2
Momentum / 100
see the breakdown below
6y ago
Created
last push 3y ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 6.3 | +1.1/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 9.8 | last week ran 1.65× the monthly pace |
| Freshness | 15 | 0.0 | last push 3y ago; decays to zero at 180 days |
| Scale | 15 | 10.1 | 3.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 26.2 | sum of the above |
Detail
| Topics | algorithmic-tradingalgotradingasset-allocationasset-managementbacktesting-trading-strategiesbacktestsdata-sciencedeep-learningderivatives-pricingfinancial-analysismachine-learningpairs-tradingportfolio-managementquantitative-financequantitative-tradingreinforcement-learningrisk-managementstatistical-arbitragetrading-algorithmstrading-strategies |
| Matched on | Finance (algorithmic-trading, quantitative-finance) |
| Short window | +8 stars over 7 days = 1.1/day |
| Long window | +18 stars over 26 days = 0.7/day |
| Lifetime average | 1.32 stars/day over 2,322 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |