alpacalyzer-algo-trader: Instructions file for Claude Code

AGENTS.md

alpacalyzer-algo-trader AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from kimrejstrom/alpacalyzer-algo-trader. It costs 1,865 tokens per session, scanned A, original, MIT.

Project instructions for Alpacalyzer, an algorithmic trading application that analyses markets and can place trades through the Alpaca service. They require test-first development, meaning tests are written before implementation.

In plain words
What is it for?
Use them when installing dependencies, configuring API keys, running analysis or trading modes, and developing or reviewing Alpacalyzer changes.
Why use it?
They give an agent the project's setup steps and rules for making changes safely, including requiring a tracked GitHub issue and tests before code.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: PreToolUse hook event, but also the file is AGENTS.md. Also seen: mentions subagents; mentions AGENTS.md; mentions OpenCode.

This is kimrejstrom/alpacalyzer-algo-trader's own configuration. It tells Claude Code, Codex and OpenCode how to work on alpacalyzer-algo-trader itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything alpacalyzer-algo-trader configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kimrejstrom/alpacalyzer-algo-trader. 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/kimrejstrom/alpacalyzer-algo-trader/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/kimrejstrom/alpacalyzer-algo-trader

Made for: Claude Code, Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 1,865 This file is loaded in full into every session.
When invoked 1,865 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01865 $0.01865
Opus 5.5 $0.00746 $0.00746
Sonnet 5.5 $0.00373 $0.00373
Haiku 4.5 $0.00186 $0.00186

Measured 2mo ago against content hash f798935e4eee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alpacalyzer-algo-trader 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 · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Instructions for Alpacalyzer Algo Trader

Critical: You are a principal software engineer working on Alpacalyzer Algo Trader. Your job: build features incrementally using test-first development.

📋 Related Documentation:

Important: This document (AGENTS.md) always takes precedence over generic superpowers plugin skills. See SUPERPOWERS_INTEGRATION.md for details.

Quick Start

# 1. Install dependencies
uv sync

# 2. Setup environment
cp .env.example .env
# Edit .env with required API keys:
# - ALPACA_API_KEY (Alpaca API)
# - ALPACA_SECRET_KEY (Alpaca secret)
# - LLM_API_KEY (OpenAI-compatible LLM provider, e.g., OpenRouter)

# 3. Start development
uv run alpacalyzer --analyze  # Analysis mode (no real trades)
uv run alpacalyzer            # Full trading mode

🎯 Golden Rules

  1. GitHub Issue First - No work without an issue. Create one if missing.
  2. Tests Before Code - Write tests first, then implement.
  3. One Issue Per Session - Each worktree session handles exactly ONE issue. Never start a new issue in the same session.
  4. One Thing At A Time - Single feature per PR, focused commits.
  5. No Secrets - Use environment variables, never hardcode credentials.
  6. Debug Efficiently - Run tests once, save output, analyze. Never run full test suite repeatedly.

See docs/dev/tdd-flow.md for detailed workflow. For code invariants, see docs/principles.md.

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────────────────┐
│                     OPPORTUNITY PIPELINE                         │
├─────────────────────────────────────────────────────────────────┤
│  ScannerRegistry → OpportunityAggregator                         │
└─────────────────────────────────────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────────────┐
│                   TRADING ORCHESTRATOR                           │
├─────────────────────────────────────────────────────────────────┤
│  TradingOrchestrator: scan() → analyze() → execute()           │
└─────────────────────────────────────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────────────┐
│                     EXECUTION ENGINE                             │
├─────────────────────────────────────────────────────────────────┤
│  ExecutionEngine: SignalQueue, PositionTracker, OrderManager   │
│  Strategies: Momentum, Breakout, MeanReversion                 │
└─────────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 187 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.

  1. 2mo ago First seen · 187 lines · 1,865 tokens per session scan A f798935e4eee

Subscribe to this mod's changes

alpacalyzer-algo-trader AGENTS.md is an instructions file published in the GitHub repository kimrejstrom/alpacalyzer-algo-trader (2 stars, last pushed 5mo ago), licensed MIT. It adds 1,865 tokens to every session, about $0.0075 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 2026-08-31.

Related

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