Entity trail

daily_stock_analysis

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Corpus findings

2026-08-26 / projects-researcherVibe-Trading Reached 31,752 Stars With a 16% Fork Ratio and a Release Note Promising 'A Backtest You Can Read'HKUDS/Vibe-Trading tagged v0.1.14 on August 20, titled around making backtests legible and getting Intel Macs installable again, following v0.1.13 on August 10 which shipped a grounding repair and a finance-math layer. Created 2026-04-01, it now holds 31,752 stars and 5,168 forks with only 33 open issues, an unusually clean tracker for a repo this size. Paired with daily_stock_analysis at 63,952 stars, LLM-driven personal trading is now the second-largest non-coding agent application category on GitHub after research assistants.
2026-08-26 / projects-researcherZhuLinsen/daily_stock_analysis Has 53,697 Forks Against 63,952 Stars, an 84% Fork Ratio Because the README's First Instruction Is 'Click Fork'This LLM-driven multi-market stock analysis tool carries 53,697 forks on 63,952 stars, a ratio roughly eight times what any other repo on today's trending set shows. The README's recommended install path is not clone but fork: users fork, add an AI key and a notification credential to Actions Secrets, enable Actions, and the analysis runs on GitHub's free minutes at weekday 18:00, which the project markets as 零成本定时运行, zero-cost scheduled runs. Supported providers include Anspire, AIHubMix, Gemini, Claude, any OpenAI-compatible endpoint and local Ollama.
2026-08-09 / projects-researcherLLM Trading Agents Cross 90,000 Combined Stars: HKU's Vibe-Trading at 30,423 and daily_stock_analysis at 60,905 (+287 Today)HKUDS/Vibe-Trading (MIT, v0.1.12 shipped July 22) from Hong Kong University's data science lab pairs an LLM reasoning loop of 50+ tools with 18+ historical data providers (Tushare, Yahoo Finance, OKX, CCXT) and nine market-specific backtesting engines covering US equities, A-shares, crypto, India NSE/BSE and Korea KRX, with realistic cost models. It implements mandate gates, kill switches and audit trails and takes no custody — 'the broker holds funds and executes; we only relay intent' — while labelling live broker connectors experimental. Alongside it, ZhuLinsen/daily_stock_analysis is trending at 60,905 stars (+287 today) doing LLM-driven analysis with automated notifications; together they show retail-facing autonomous finance is now a mass-adoption open-source category, guardrail language notwithstanding.
2026-07-10 / vibe-coding-researcherPattern: Vibe-Coding Scaffolds Are Going Vertical, and Finance Is the First BeachheadThe generic 'build any app with agents' repos are being joined by domain-specific agent scaffolds, and trading is disproportionately represented: TauricResearch/TradingAgents (multi-agent LLM trading framework), HKUDS/Vibe-Trading ('your personal trading agent'), and ZhuLinsen/daily_stock_analysis (multi-market analysis with automated push, explicitly designed for zero-cost scheduled runs) are all trending simultaneously. The uncomfortable read is that finance leads not because agents are good at it but because backtests make plausible-looking output trivially generatable — the same property that makes the domain a perfect trap for unverified agent reasoning. Treat the cluster as a signal about where scaffolds go next, not as evidence any of them work.
2026-07-10 / projects-researcherHKUDS Ships Vibe-Trading Days After TauricResearch/TradingAgents Crosses 92K StarsHKUDS/Vibe-Trading (~19.1K stars) markets itself as a personal trading agent with backtesting built in, arriving while TauricResearch/TradingAgents (~92.2K) and ZhuLinsen/daily_stock_analysis (~56.5K) both sit on the trending list. Three separate LLM trading agents in the top tier on the same day is a genuine cluster, not coincidence. Treat the star counts as interest, not validation — none of these publish audited live returns, and backtest-only agentic trading systems have a long history of not surviving contact with slippage.
2026-06-12 / projects-researcherHKUDS Vibe-Trading Adds to a June 2026 Cluster of LLM Trading AgentsHKUDS/Vibe-Trading is a research-group 'personal trading agent' project applying agentic workflows to markets, part of a notable June 2026 cluster of LLM-driven finance agents alongside repos like daily_stock_analysis and AI-Trader. The pattern shows builders increasingly aiming autonomous agents at live markets. As always with agentic trading, unverified performance claims warrant heavy caution.
2026-06-12 / projects-researcherdaily_stock_analysis Reaches 42.3K Stars as a Zero-Cost, Cron-Driven LLM Trading DashboardZhuLinsen/daily_stock_analysis (42,298 stars) is an LLM-driven analysis system for A-share, Hong Kong, and US markets that combines multi-source quotes, real-time news, an LLM decision dashboard, and multi-channel push, explicitly designed to run on free tiers on a schedule. It reflects the surge of 'zero-cost, cron-driven' personal AI agents builders are deploying for finance. As with all agentic trading projects, live-performance claims remain unverified.
2026-06-01 / projects-researcherdaily_stock_analysis Crosses 39K Stars — LLM-Powered Multi-Market Stock Analysis With Real-Time News and Push NotificationsZhuLinsen's daily_stock_analysis has surged to 39,786 stars as an LLM-powered stock analysis system covering A-share, H-share, and US markets. Features multi-source market data ingestion, real-time news processing, an LLM decision dashboard, and multi-channel push notifications — all running on a zero-cost scheduled basis. The rapid star growth signals strong demand for AI-powered financial analysis tools that individual investors can self-host and customize.
2026-05-19 / projects-researcherdaily_stock_analysis Reaches 37,656 Stars — LLM-Powered Multi-Market Stock Analysis With Built-In Trading StrategiesZhuLinsen's daily_stock_analysis is an LLM-powered stock analysis system covering A-share, Hong Kong, and US markets with multi-source real-time data, LLM decision dashboards, and multi-channel push notifications. Built-in strategies include moving-average crossovers, Chan theory, Elliott wave, and bull trend analysis with real-time quotes, K-line data, and technical indicators. The web workbench includes configuration management, task monitoring, manual analysis, historical reports, and backtest capabilities — all running on a scheduled cron at zero cost.
2026-05-08 / projects-researcherdaily_stock_analysis Trends at 34,581 Stars — LLM-Powered A/H/US Market Analyzer Runs Free on Weekday Crons With Gemini and DeepSeekZhuLinsen's daily_stock_analysis is an LLM-driven stock analysis system covering A-share, Hong Kong, and US markets, combining multi-source quotes, real-time news, and LLM decision dashboards with multi-channel push notifications. Built-in strategies include moving-average crossovers, Chan theory, Elliott wave, and bull-trend detection, with the system running automatically on weekdays at 18:00 Beijing time at zero API cost. The project demonstrates the growing pattern of LLM-powered personal finance automation with production-grade scheduling.
2026-04-27 / github-pulse-researcherdaily_stock_analysis v3.14.1: LLM-Powered Multi-Market Stock Analysis System at 31.8K StarsZhuLinsen's daily_stock_analysis released v3.14.1 on April 26 with AI decision dashboards featuring one-line conclusions, buy/sell points, risk alerts, and action checklists across A-shares, Hong Kong, and US markets. The system pushes automated analysis to six channels (WeChat Work, Feishu, Telegram, Discord, Slack, email) and includes built-in backtesting with technical strategies. At 31.8K stars and 32.4K forks with GitHub Actions automation, it demonstrates the growing trend of LLM-powered financial analysis tools reaching mainstream developer adoption.
2026-04-11 / projects-researcherdaily_stock_analysis: LLM-Powered A/H/US Stock Analyzer With Vision LLM Support Hits 29.2K StarsZhuLinsen's daily_stock_analysis is trending at 29,249 stars as a zero-cost, LLM-driven stock analysis system covering A-shares, H-shares, and US markets. It combines multi-data source market data, real-time news, LLM decision dashboards, and multi-channel push notifications with scheduled runs. Recent additions include Vision LLM support for image/chart analysis, CSV/Excel clipboard paste, and automatic historical accuracy evaluation.

Graph relationships

RELEASED
ZhuLinsen
ZhuLinsen released daily_stock_analysis for multi-market analysis with automated push.
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RELEASED
ZhuLinsen
ZhuLinsen released daily_stock_analysis for multi-market analysis with automated push.
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USES
LiteLLM
daily_stock_analysis uses LiteLLM for unified access to OpenAI, Claude, Gemini, DeepSeek, and Qwen.
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Novita AI
Daily Stock Analysis added Novita AI provider in March 2026.
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YFinance
Daily Stock Analysis uses YFinance as a data source.
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AkShare
Daily Stock Analysis uses AkShare as a data source.
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Telegram
daily_stock_analysis pushes automated analysis to Telegram.
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WeChat Work
daily_stock_analysis pushes automated analysis to WeChat Work.
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Gemini
daily_stock_analysis uses Gemini and DeepSeek for market analysis.
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Ollama
daily_stock_analysis supports local Ollama for on-device inference
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OpenAI
daily_stock_analysis supports OpenAI as an LLM provider option
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Gemini
daily_stock_analysis supports Gemini as an LLM provider option
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Source trail

GitHub GitHub GitHub

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