Does daily_stock_analysis use paid AI services?

Can use Google Gemini. Its settings have keys for this paid API. Its README says whether one is required.

Is daily_stock_analysis still maintained?

Yes, active. Last change today. Latest release v3.34.0, 3 days ago.

Can I trust daily_stock_analysis?

Some track record. 71k stars, 10 months old. Get it from the official repo and read what it installs.

How to install on Linux

ZhuLinsen/daily_stock_analysis

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

PythonFastAPI#a-stock#ai-agent#aigc#llm

Before you start

Is it free?: YesOpen source (MIT).
Paid AI services?: Can use Google GeminiIts settings have keys for this paid API. Its README says whether one is required.
Still maintained?: Yes, activeLast change today. Latest release v3.34.0, 3 days ago.
Can I trust it?: Some track record71k stars, 10 months old. Get it from the official repo and read what it installs.

Difficulty: Moderate
Time: about 15 min
Stars: ★ 71,018
Activity: Updated this month

Saved setup from 8 h ago

Will it work on Linux?

Yes, it runs on Linux

Apps are only published for macOS and Windows.
You'll build it yourself with Python.

Your system

macOS Windows Linux

Start here

Website ↗dsa.zhulinsen.techThe project's own site.

Heads-upIt also needs 64 settings in .env (11 secret).

No Linux app in the box

No ready-made Linux app or install command in v3.34.0. There are apps for macOS and Windows.

Did you get it running?

No reports for Linux yet.

Still stuck? Get a written guide

GitManual AI Agent reads the 11 key files and writes a step-by-step guide for Linux. Once written, it's saved for everyone.

Parts list

1×Python 3.11runtime
1×pip package manager

64× settings in .env

STOCK_LIST
TUSHARE_TOKENsecret
SCREENING_ENABLED
STOCK_INDEX_REMOTE_UPDATE_ENABLED
GENERATION_BACKEND
GENERATION_FALLBACK_BACKEND
GENERATION_BACKEND_TIMEOUT_SECONDS
GENERATION_BACKEND_MAX_OUTPUT_BYTES
GENERATION_BACKEND_MAX_CONCURRENCY
LOCAL_CLI_BACKEND_MAX_CONCURRENCY
AGENT_BACKEND
AGENT_GENERATION_BACKEND
GEMINI_API_KEYsecret
MODELFLARE_KEYsecret
TAVILY_API_KEYSsecret
SERPAPI_API_KEYSsecret
ANSPIRE_API_KEYSsecret
BRAVE_API_KEYSsecret
SEARXNG_BASE_URLS
SEARXNG_PUBLIC_INSTANCES_ENABLED
SEARXNG_TIMEOUT_SECONDS
AGENT_SKILLS
DINGTALK_WEBHOOK_URL
DINGTALK_SECRETsecret
DINGTALK_APP_KEYsecret
DINGTALK_APP_SECRETsecret
DINGTALK_STREAM_ENABLED
FEISHU_APP_ID
FEISHU_APP_SECRETsecret
FEISHU_STREAM_ENABLED
DATABASE_PATH
SQLITE_WAL_ENABLED
SQLITE_BUSY_TIMEOUT_MS
SQLITE_WRITE_RETRY_MAX
SQLITE_WRITE_RETRY_BASE_DELAY
SAVE_CONTEXT_SNAPSHOT
BACKTEST_ENABLED
BACKTEST_EVAL_WINDOW_DAYS
BACKTEST_MIN_AGE_DAYS
BACKTEST_ENGINE_VERSION
BACKTEST_NEUTRAL_BAND_PCT
SCHEDULE_ENABLED
SCHEDULE_TIME
SCHEDULE_TIMES
DSA_RUNTIME_SCHEDULER_TIMEOUT_SECONDS
DSA_TIMEOUT_PARTIAL_NOTIFY
SCHEDULE_RUN_IMMEDIATELY
SCHEDULE_STARTUP_DEDUP
RUN_IMMEDIATELY
MARKET_REVIEW_ENABLED
DAILY_MARKET_CONTEXT_ENABLED
USE_PROXY
PROXY_HOST
PROXY_PORT
LOG_DIR
LOG_LEVEL
MAX_WORKERS
DEBUG
WEBUI_ENABLED
WEBUI_HOST

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Good to know

Has AGENTS.md — instructions for coding agents. You can open Claude Code (or another agent) in the cloned folder and ask it to do the setup for you.
Nested projects: apps/dsa-desktop/package.json, apps/dsa-web/package.json

Details

License: MIT
Open issues: 53
Branch: main

Files we read (11)

.env.example

.github/workflows/00-daily-analysis.yml

.github/workflows/auto-tag.yml

.github/workflows/ci.yml

.github/workflows/create-release.yml

.github/workflows/desktop-release.yml

.github/workflows/docker-publish.yml

README.md

docs/CONTRIBUTING.md

pyproject.toml

requirements.txt

1,220 files in the repo

Yes, it runs on Linux

Start here

No Linux app in the box

Did you get it running?

Still stuck? Get a written guide

More like daily_stock_analysis that run on Linux