Jesse is a Python framework for creating cryptocurrency trading strategies and testing them against historical data before optimizing or running them with live trades. It is used by developers building and evaluating algorithmic trading systems.
Borrowing it
Nothing to install: this file belongs to jesse-ai/jesse. 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/jesse-ai/jesse/master/AGENTS.mdgit clone --depth 1 https://github.com/jesse-ai/jesseWrote 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/jesse-ai/jesse/agents-md)<a href="https://agentmods.dev/instructions/jesse-ai/jesse/agents-md"><img src="https://agentmods.dev/badge/instructions/jesse-ai/jesse/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.
<a href="https://agentmods.dev/instructions/jesse-ai/jesse/agents-md"><img src="https://agentmods.dev/badge/instructions/jesse-ai/jesse/agents-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 | $0.02884 | $0.02884 |
| Opus 5.5 | $0.01154 | $0.01154 |
| Sonnet 5.5 | $0.00577 | $0.00577 |
| Haiku 4.5 | $0.00288 | $0.00288 |
Grade A, and why
jesse 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 17d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jesse Repository Guide for AI Agents
Overview
The jesse repository is the core open-source framework of the Jesse trading system. It contains the main Python codebase for backtesting trading strategies, importing historical data from crypto exchanges, running optimizations, and providing the API backend for the dashboard. It glues together the other repositories and makes them work together.
Skills
This repo stores shared Agent Skills in .claude/skills/ — focused, task-specific playbooks used by Claude Code and Codex. Codex also discovers them through the repository-relative .agents/skills symlink.
Before starting a task, scan the YAML frontmatter of every .claude/skills/*/SKILL.md. When a skill's description matches the task, read that SKILL.md completely before acting. A matching skill is the authoritative reference for what it covers, and its details are deliberately kept out of this file. This scan is the cross-platform fallback if native skill discovery or symlink support is unavailable.
jesse-strategy-tests— conventions for writing Jesse strategy and engine tests.
Key Characteristics
Central Framework
- jesse-live depends on this - Changes here affect live trading
- jesse-rust integrates here - Rust functions are called from this codebase
- dashboard consumes this API - Frontend uses the FastAPI routes and controller files.
Technology Stack
- Python - Primary language
- FastAPI - API framework for all routes
- NumPy - Array operations and calculations
- keewee - ORM for the database
Development Workflow
Making Changes
When implementing features or fixing bugs:
- Understand the scope - Determine if other repositories such as the dashboard need updates
- Implement the code in the appropriate module
- Write/update tests - Maintain test coverage
- Run tests to verify changes:
python -m pytest - Consider jesse-live - Does this affect live trading?
- Update API routes if needed - Follow FastAPI patterns
- Follow the user's local workspace instructions for restarting a development server.
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.
- 17d ago Changed · +12 lines · +135 tokens per session 39991fda8639
- 2mo ago First seen · 219 lines · 2,749 tokens per session scan A 79f34f705b37
jesse AGENTS.md is an instructions file published in the GitHub repository jesse-ai/jesse (8,729 stars, last pushed 3d ago), licensed MIT. It adds 2,884 tokens to every session, about $0.0115 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.