Borrowing it
Nothing to install: this file belongs to vilkovgr/0dte-strategies. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vilkovgr/0dte-strategies/main/CLAUDE.mdgit clone --depth 1 https://github.com/vilkovgr/0dte-strategiesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/vilkovgr/0dte-strategies/claude-md)<a href="https://agentmods.dev/instructions/vilkovgr/0dte-strategies/claude-md"><img src="https://agentmods.dev/badge/instructions/vilkovgr/0dte-strategies/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/vilkovgr/0dte-strategies/claude-md"><img src="https://agentmods.dev/badge/instructions/vilkovgr/0dte-strategies/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01201 | $0.01201 |
| Opus 5.5 | $0.00480 | $0.00480 |
| Sonnet 5.5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
0dte-strategies CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Claude Project Context
What Is This Repository?
Public replication package for "0DTE Trading Rules: Tail Risk, Implementation, and Tactical Timing" (Vilkov, 2026). Contains analysis code, derived data panels, and AI-optimized documentation for reproducing every exhibit in the paper.
Quick Orientation
- Paper topic: Realized payoffs of S&P 500 zero-days-to-expiration (0DTE) options and multi-leg strategies. Tests whether 0DTE offers repeatable carry or is better used as a tactical overlay.
- Sample: SPXW options, Sep 2016 – Jan 2026, focusing on 10:00 ET entry held to 16:00 ET close.
- Main finding: Unconditional 0DTE is weak after costs and tail risk; conditional OOS rules on selected strategies and baskets achieve SR 1.0–1.3.
How to Run
pip install -r requirements.txt
python tools/doctor.py # verify setup
python code/run_replication.py # reproduce all tables + figures
python tests/test_replication.py # verify parity with reference
Key Commands
| Task | Command |
|---|---|
| Reproduce everything | python code/run_replication.py |
| Single table family | python code/analysis/<script>.py |
| Check environment | python tools/doctor.py |
| Run parity tests | python tests/test_replication.py |
| Run tooling tests | python tests/test_tools.py |
| Convert LaTeX to annotated MD | python tools/latex2md.py paper.tex -o out.md |
Code Structure
All analysis scripts live in code/analysis/ and follow a uniform pattern:
- Parse args (optional
--project-root,--data-dir) - Load data from
data/via_paths.pyhelpers - Compute statistics
- Write LaTeX tables to
output/tables/or PDF figures tooutput/figures/
Central config: code/config.py (RepoConfig dataclass with path properties).
Data Files
All in data/ directory (Git LFS tracked):
data_opt.parquet— interpolated option panel (mid, spread, Greeks, payoff, PNL)data_structures.parquet— strategy-level panel (7 types, flow/liquidity features)vix.parquet— VIX and intraday implied/realized momentsslopes.parquet— Volatility surface slopes (point-in-time)future_moments_SPX.parquet— forward realized moments for SPX (PIT intraday)future_moments_VIX.parquet— forward realized moments for VIX (PIT intraday)ALL_eod.csv— end-of-day reference prices
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 99 lines · 1,201 tokens per session scan A 314387fa3abf
0dte-strategies CLAUDE.md is an instructions file published in the GitHub repository vilkovgr/0dte-strategies (63 stars, last pushed 2mo ago), licensed MIT. It adds 1,201 tokens to every session, about $0.0048 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
0dte-strategies CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 0dte-strategies CLAUDE.mdvilkovgr/0dte-strategies | Instructions file | 63 | 2mo ago | MIT | A | 1,201 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |