lob-simulation
CommunityOptimize trading with LOB simulation.
Finance & Accounting#quantitative research#risk controls#trading algorithms#variance reduction#slippage analysis#lob simulation
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of optimizing trading strategies by simulating Limit Order Book (LOB) dynamics, enabling quantitative researchers and developers to test and refine their approaches in a controlled environment.
Core Features & Use Cases
- Pathwise Convergence & Variance Reduction: Enhances simulation accuracy and efficiency.
- Reproducible Research: Ensures that simulation results can be consistently replicated.
- Production Controls: Implements safeguards for deploying trading logic.
- Use Case: When developing a new high-frequency trading algorithm, use this Skill to simulate its performance under various market conditions, identify potential issues like excessive slippage, and ensure it meets strict risk control criteria before going live.
Quick Start
Run the lob simulation diagnostics script with the input file 'input.csv' and save the output to 'diagnostics.json'.
Dependency Matrix
Required Modules
pandasargparsejson
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lob-simulation Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#lob-simulation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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