题目列表
显示 52 / 646 道可提交题。 当前筛选:标签:Heap
Trade-Size Tier Histogram via Right-Inclusive Edges
Consolidated Best-Bid Stream Across K Venue Quote Feeds
Cross-Tape Buy-Above-Sell Routing-Quality Alert Count
Cross-Feed Tick Match Count Within Tolerance Window
Per-Side Dense-Rank Annotation for the Day's Blotter
Earliest End-Day Reaching A Cumulative Inventory Target From Each Starting Day
Greenwald-Khanna Streaming Quantile Summary
HDR Histogram Recorded-Value Bucket Index and Quantile Estimate
Historical Scenario Replay: Worst-K Rolling-Window PnLs
Iceberg Order Book — Replenishment & Fills
Insert and Merge Order-Book Price-Level Intervals
Inverse Percentile Rank of Daily PnL Against Reference Distribution
Merge K Per-Venue Trade Tapes Into One Chronological Stream
Merge Overlapping Quote-Validity Windows
Merge Two Sorted Lists — Iterative Two-Pointer
Quantile Estimate from Pre-Bucketed Histogram Counts
Price-Time Priority Queue — Order Book Replay
Pro-Rata Allocation — Single-Level Fill Distribution
Quartile Pack with IQR from Per-Period Returns
Queue Position Fill Probability — Closed-Form Under Poisson Arrivals
Rank-Disagreement Count: Pairwise Inversions Between Expected and Realized Strategy Rankings
Realign K Trade Tapes to a Global Clock with Per-Tape Offsets
Multi-Level SOR with Stale-Quote Re-Routing — Event Replay
Min-Venue-Count Smart Order Routing with Fee-Tier Crossing Penalty
SOR Across Replenishing Iceberg Venues — Event Replay
Smart-Order Routing With Bayesian Fill-Rate Priors and UCB Exploration
Strategy Leaderboard: Top-K by Sharpe with Lexicographic Tie-Break
Running VWAP Across Merged K-Venue Trade Tapes
Streaming Running Mode — Most-Frequent Value with Lazy-Deletion Heap
T-Digest Streaming Percentile Estimator (k_1 Scale Function)
TCA Worst-K Fills: Top-K Slippage with Stable Arrival-Seq Tiebreak