Borrowing it
Nothing to install: this file belongs to mwangli/stock-trading. 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/mwangli/stock-trading/main/CLAUDE.mdgit clone --depth 1 https://github.com/mwangli/stock-tradingWrote 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/mwangli/stock-trading/claude-md)<a href="https://agentmods.dev/instructions/mwangli/stock-trading/claude-md"><img src="https://agentmods.dev/badge/instructions/mwangli/stock-trading/claude-md.svg" alt="Measured on agentmods" 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 | $0.01561 | $0.01561 |
| Opus 5 | $0.00781 | $0.00781 |
| Sonnet 5 | $0.00312 | $0.00312 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
stock-trading 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 8d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Language Requirement
All responses must be in Chinese (except code identifiers, class/method/API names). Show structured reasoning: conclusion -> evidence -> reasoning -> verification -> alternatives.
Build & Run Commands
Backend (Java/Maven) — working directory: backend/
mvn spring-boot:run # Start app on port 8080
mvn compile # Compile only (use for quick verification after changes)
mvn clean package -DskipTests # Build JAR (no automated tests in this project)
Frontend (React/Vite) — working directory: frontend-v2/
npm install # Install dependencies
npm run dev # Dev server on port 5173 (proxies /api to localhost:8080)
npm run build # Production build (runs tsc + vite build)
npm run lint # ESLint
After every code change, verify compilation:
- Backend:
cd backend && mvn compile - Frontend:
cd frontend-v2 && npm run build
Docker (infrastructure for local dev)
docker-compose up -d mysql redis mongo # Start databases only
docker-compose up -d --build # Full stack deployment
Architecture
Maven multi-module project: parent POM (pom.xml) aggregates backend/ and frontend-v2/. In production, frontend is built via Maven and bundled into the backend JAR as static resources — single deployable artifact on port 8080.
Backend: Single Spring Boot app (Java 17, Spring Boot 3.2.10)
Organized by business domain, not by layer:
Package (com.stock.*) |
Purpose |
|---|---|
dataCollector |
Stock list sync, real-time quotes, historical K-lines, news scraping |
modelService |
LSTM price prediction + FinBERT sentiment analysis via DJL (Deep Java Library). Models stored in MongoDB as binary, loaded by mongo:ID identifier — no local file I/O |
strategyAnalysis |
Daily stock selection (LSTM 60% + sentiment 40%) and T+1 intraday sell strategy (moving stop-loss, RSI, volume divergence, Bollinger bands, forced close at 14:57) |
tradingExecutor |
Risk controls, order execution (simulated), position/holding management, fee calculation |
job |
Unified dynamic task scheduler — all scheduled tasks go through JobConfig table + JobSchedulerService |
config |
Global configs (WebSocket, scheduling, etc.) |
logging |
ApiLoggingAspect — global AOP for controller access logging |
event, handler |
Spring events, WebSocket handlers for real-time log/notification push |
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.
- 8d ago First seen · 120 lines · 1,561 tokens per session scan A fd39257e8a6f
stock-trading CLAUDE.md is an instructions file published in the GitHub repository mwangli/stock-trading (147 stars, last pushed 3mo ago), licensed MIT. It adds 1,561 tokens to every session, about $0.0078 per session on Opus 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.
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