What is 0dte-strategies AGENTS.md?

An onboarding guide for AI coding agents working in a repository about zero-days-to-expiration options, which are options that expire on the day they are traded. It describes the project’s purpose, data model, files, and ways to reproduce the research.

It helps agents run the supplied analyses, rebuild data when supported, reproduce tables and figures, and explore or extend the project.

It helps an unfamiliar coding agent understand the repository’s research context and find the right files and workflow before making changes.

How vilkovgr/0dte-strategies configures Codex and OpenCode

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/vilkovgr/0dte-strategies/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/vilkovgr/0dte-strategies

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/vilkovgr/0dte-strategies/agents-md/github.svg)](https://agentmods.dev/instructions/vilkovgr/0dte-strategies/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/vilkovgr/0dte-strategies/agents-md"><img src="https://agentmods.dev/badge/instructions/vilkovgr/0dte-strategies/agents-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/vilkovgr/0dte-strategies/agents-md"><img src="https://agentmods.dev/badge/instructions/vilkovgr/0dte-strategies/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,643 This file is loaded in full into every session.

When invoked 2,643 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.02643	$0.02643
Opus 5.5	$0.01057	$0.01057
Sonnet 5.5	$0.00529	$0.00529
Haiku 4.5	$0.00264	$0.00264

Measured 2mo ago against content hash 07f065adf085, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

0dte-strategies AGENTS.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.

AGENTS.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — AI Agent Onboarding

Context file for AI coding agents (GitHub Copilot, OpenAI Codex, Claude, etc.) working inside this repository.

Mission

This is the public replication package for the paper "0DTE Trading Rules: Tail Risk, Implementation, and Tactical Timing" (Vilkov, 2026). The repo enables three tiers of engagement:

Instant replication — run analysis scripts against shipped derived data to reproduce every table and figure.
Rebuild from source — use Massive or ThetaData API adapters to reconstruct raw data from scratch.
Explore and extend — use AI-optimized context to understand, critique, or extend the analysis.

Paper Summary (One Paragraph)

The paper studies realized payoffs of S&P 500 zero-days-to-expiration (0DTE) options and standard multi-leg structures from 09/2016 to 01/2026. A positive 0DTE variance risk premium exists but is small after realistic frictions. Strategy PNL distributions are wide, tail-heavy, and regime-dependent — dominated by directional and skewness realizations rather than stable mean carry. Yet disciplined 10:00 ET conditional rules under a strict out-of-sample protocol deliver economically meaningful net performance for selected strategies (put ratio spreads SR ≈ 1.26, iron butterflies SR ≈ 0.82) and diversified baskets (SR 1.01–1.27). The practical implication: 0DTE is better viewed as a tightly risk-budgeted tactical overlay than a standing carry strategy.

Three-Tier Data Model

Tier 1 (shipped):    data/*.parquet, data/*.csv
                     ↓ analysis scripts read these directly
                     output/tables/*.tex, output/figures/*.pdf

Tier 2 (rebuild):    API key → code/ingest/{massive,thetadata}/
                     → raw snapshots → code/build_data.py
                     → data/*.parquet (same schema as Tier 1)

Tier 3 (explore):    docs/agent-context/* + AGENTS.md + CLAUDE.md
                     → LLM understands paper claims, methods, variables

Read the full file on GitHub · 181 lines

Changes

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 · 181 lines · 2,643 tokens per session scan A 07f065adf085

Subscribe to this mod's changes

0dte-strategies AGENTS.md is an instructions file published in the GitHub repository vilkovgr/0dte-strategies (63 stars, last pushed 2mo ago), licensed MIT. It adds 2,643 tokens to every session, about $0.0106 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 AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
0dte-strategies AGENTS.mdvilkovgr/0dte-strategies	Instructions file	63	2mo ago	MIT	A	2,643	Codex, OpenCode
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

0dte-strategies: Instructions file for Codex