题目列表
显示 77 / 646 道可提交题。 当前筛选:标签:Buy Side Quant Researcher
Shrinkage Blend of Two Alpha Sources with Z-Score Normalization
As-of Merge — Attach Most-Recent Mid-Price to Each Trade
Blocked Time-Respecting CV: Contiguous Folds with Train-Before-Test
IC-IR-Weighted Composite of Three Sub-Factors
Rank-to-Percentile Transform on a Cross-Section of Alpha Factors
Toy Equal-Risk-Contribution Solver (Fixed-Point Iteration)
Idiosyncratic Volatility Factor — Rolling Residual Std After Market Beta
Lag/Lead Shift by Key — Within-Group Time-Series Offset
Limit-Order Fill Simulation against High-Low Bars
Look-Ahead Bias Detector via Lagged-Correlation Comparison
Robust Cross-Sectional Z-Score via Median and MAD
Maximum-Diversification Portfolio (Choueifaty-Coignard)
Mean-Reversion Factor — Residualized Last-K Return
Long-Only Mean-Variance Efficient Frontier
Rank Features by Histogram-Estimated Mutual Information with the Target
Online PCA via Oja's Rule (Streaming PC1)
Classical Gram-Schmidt Orthogonalization of Priority-Ordered Alpha Signals
PCA Explained-Variance Ratio for Top-k Components
Optimal Ledoit-Wolf Shrinkage (Frobenius)
Post-Earnings Announcement Drift Signal (D+1 to D+60 Excess Return)
Long-to-Wide Pivot — Reshape a (Date, Ticker, Value) Panel into a Matrix
Per-Asset and Portfolio Cap Clamping for Target Weights
Purged k-Fold Cross-Validation for Time-Series ML
Quintile (k-tile) Bucketing of a Cross-Sectional Factor
Cross-Sectional Rank Bucketing into Deciles with Ordinal Tie-Breaks
Spearman Rank Correlation with Average-Rank Tie Breaking
RankGauss Transform on a Cross-Section of Alpha Factors
Turnover-Aware Rebalance on Bucketed-Signal Change
Rolling Engle-Granger Cointegration Test for Pairs Trading
Sector-Neutralize an Alpha Factor Cross-Section
Toy Ledoit-Wolf Shrinkage Covariance
Size Factor as Negative Log Market Cap (Cross-Sectional Z-Score)
Survivorship-Aware Tradeable Universe on a Date
Equal-Weight Long-Top-K / Short-Bottom-K Portfolio
Trailing 12-1 Momentum Factor (Skip Last Month)
Transaction-Cost-Aware Target Weights from Alpha Signal
Vectorized PnL with Time-Varying Borrow Fee Curve
Walk-Forward Train/Test Splits with Embargo
Walk-forward CV: Expanding and Rolling-window Folds
Walk-Forward Validation for Time-Series Backtests
Cross-Sectional Winsorization of Alpha-Factor Values
Cross-Sectional Z-Score with Optional Winsorization