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Daily Stock Analysis alternatives

8 hot AI repos in Money that do similar jobs. Updated daily.

Daily Stock Analysis (ZhuLinsen/daily_stock_analysis): daily_stock_analysis is an LLM powered stock analysis system for China A-shares, Hong Kong, US, Japanese, Korean and Taiwan stocks. It pulls quotes, candles, indicators, news and fundamentals, has a model write a decision dashboard with a score, trend, price levels, risk alerts and a checklist for each stock on your watchlist, and pushes it to Telegram, Discord, Slack, email, WeChat Work or Feishu. It can run free on GitHub Actions, in Docker, locally or as a web workbench. Not financial advice: paper trade first, and remember you can lose money. See its 3 use cases.

Similar repos

  1. Fincept Terminal Fincept-Corporation/FinceptTerminal · C++
    Fincept Terminal is a native C++20 desktop terminal for financial research with a Qt6 interface and embedded Python analytics. The free AGPL-3.0 open build includes DCF, portfolio optimisation, VaR and Sharpe, derivatives pricing, a QuantLib suite, 37 AI trader, investor and economics agents with your own LLM key, 100+ data connectors, a paper trading engine, broker integrations, a visual node editor and MCP tools. A paid Enterprise edition is sold separately. Not financial advice: paper trade first, and remember you can lose money. Students, hobbyists and academic researchers who want a free Bloomberg-style research desktop and are fine bringing their own data and LLM keys.
    3 use cases, for example Install a free Bloomberg-style research terminal
  2. Freqtrade freqtrade/freqtrade · Python
    Freqtrade is a free, open-source crypto trading bot in Python that supports major exchanges including Binance, Bybit, Kraken, OKX and Hyperliquid. It includes dry-run mode, backtesting, plotting, money management, strategy optimisation by machine learning (hyperopt), the FreqAI adaptive prediction module, and control through Telegram or a built-in web UI. The README says it is for educational purposes and to always start in dry-run. Not financial advice: paper trade first, and remember you can lose money. Python developers who want to research, backtest and dry-run crypto strategies with a mature open-source bot before risking any money.
    3 use cases, for example Backtest a crypto strategy on real exchange data
  3. Vibe Trading HKUDS/Vibe-Trading · Python · 36,581 stars
    Vibe-Trading is HKUDS's personal trading agent: you describe research or a strategy in plain English and it fetches market data, writes and runs backtests, and reports return, drawdown and other metrics. Recent releases add daily paper trading against completed bars with saved paper accounts, a large Alpha Zoo of factors, email and chat reports, many LLM providers and an MCP server so other agents can use its tools. Not financial advice: paper trade first, and remember you can lose money. Developers and quant learners who want an agent to draft, backtest and paper trade strategies from plain English, or to give their own agent trading research tools.
    3 use cases, for example Backtest a trading strategy described in plain English
  4. Day Trader Skill Jakeschincariol/day-trader-skill · Python · 1,158 stars
    The Day Trader skill is a pack of 11 Claude skills for day trading research: a chart scanner, news monitor, entry timer, exit planner, a Time Machine that replays a trade 10,000 times, risk and budget checks, price alerts, an earnings analyst, a Congress trade tracker and an order executor. The tools are plain Python on free public data, nothing can place an order on its own, and paper trading is the default. Not financial advice: paper trade first, and remember you can lose money. Retail traders and Claude Code users who want a structured, rules-first process for day trade ideas, with paper trading and hard risk checks.
    3 use cases, for example Scan thousands of stocks for opening-range breakouts
  5. Tick Stock Panel shy3130/tick-stock-panel · Python
    TSP (tick-stock-panel) is a self-hosted quant workbench for China A-shares that runs in one Docker container with local Parquet and DuckDB storage. It covers custom and AI generated strategies, factor research and mining, backtests with T+1, fees and slippage, intraday alerts, an AI chat assistant, 65 Open API endpoints with token scopes and an MCP server with 12 tools. The README says it is not investment software and does no AI stock picking. Not financial advice: paper trade first, and remember you can lose money. Developers researching China A-share strategies who want a local, scriptable workbench their own tools and AI clients can call.
    3 use cases, for example Self-host an A-share quant workbench in one container
  6. Trading Agents TauricResearch/TradingAgents · Python
    TradingAgents is an open-source multi-agent trading research framework that mirrors a trading firm. LLM agents play fundamentals, sentiment, news and technical analysts, bullish and bearish researchers who debate, a trader, a risk management team and a portfolio manager who approves or rejects each proposal, which then runs on a simulated exchange. The README says it is built for research and is not financial, investment or trading advice. Not financial advice: paper trade first, and remember you can lose money. Developers, students and quant hobbyists who want to study how a team of LLM agents reasons about a stock before a trade, on a simulated exchange.
    3 use cases, for example Run a multi-agent research debate on one stock
  7. Phil bennyjo/phil · Python · 238 stars
    Phil is an open-source Python project where an AI agent trades short-term prediction markets on paper, rewrites its own strategy after each settled bet, and can place small capped real-money twins through Pearl Connect. Developers and researchers who study AI agent self-improvement or prediction-market calibration, and operators considering a small, capped real-money run.
    4 use cases, for example Audit whether Phil beats the market price
  8. OpenTrade Agent MariusOTB/OpenTrade-Agent · TypeScript · 135 stars
    OpenTrade-agent is a macOS app that lets Claude Code or Codex agents trade and react to the market in a Robinhood Agentic Trading account through the official MCP. Traders or developers on Apple Silicon Macs who want agents to act on a Robinhood account within guardrails they set.
    3 use cases, for example Run guardrailed agents on a Robinhood account

Best AI repos for Money · All use cases

Questions

What are the best alternatives to Daily Stock Analysis?

Hot AI repos that do similar jobs in Money: Fincept Terminal, Freqtrade, Vibe Trading, Day Trader Skill, Tick Stock Panel.

How do I choose between Daily Stock Analysis and an alternative?

Start from the job you want done: open each repo's use cases, compare who it is for, the requirements and the steps, then check the license and recent activity on GitHub.

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