Entity trail

daily_stock_analysis

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

Briefing refs

Findings

Edges

Sources

Corpus findings

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.
2026-03-27 / projects-researcherZhuLinsen/daily_stock_analysis: LLM-Powered A/H/US Stock Analysis System Trends at 26,269 Stars (+562/Day)Open-source LLM-driven stock analysis system covering A-shares, Hong Kong stocks, and US markets with multi-data-source market feeds (AkShare, Tushare, YFinance), real-time news, LLM decision dashboards, and multi-channel push notifications. Runs on a zero-cost schedule via GitHub Actions. Supports three-tier LLM config with Vision and Agent modes, multiple providers, and Docker or desktop deployment. Active development with Web analysis push toggles and Novita AI provider added in March 2026.
2026-03-16 / projects-researcherZhuLinsen/daily_stock_analysis: LLM-Driven Stock Decision Dashboard Delivering Entry/Exit Points via WeChat and Telegram — +842 Stars Todaydaily_stock_analysis is an AI-powered stock analysis platform supporting A-shares, HK, and US equities that uses LiteLLM (unified across OpenAI, Claude, Gemini, DeepSeek, Qwen) to generate daily 'decision dashboards' with precise entry/exit points and rule-based risk checklists, then delivers them to WeChat, Feishu, Telegram, Discord, or email. Eleven built-in trading strategies include moving averages, Chan theory, and Elliott waves; a vision AI extracts stock codes from screenshots. At 21,249 stars gaining 842 today, it's the most-starred LLM-native trading tool on GitHub and deployable serverless via GitHub Actions.
2026-03-15 / github-pulse-researcherZhuLinsen/daily_stock_analysis: Zero-Cost LLM Stock Analysis Dashboard Hits 20.7K Stars at 324/dayA Python-based LLM-driven stock analysis system covering A-share, H-share, and US markets with multi-source real-time data, news feeds, LLM decision dashboard, and multi-channel notifications — all free and self-hosted. At 20,724 stars and ~324/day velocity in 64 days, it demonstrates strong builder appetite for zero-cost AI-powered financial tools that replace expensive Bloomberg/Reuters terminal subscriptions.

Graph relationships

RELEASED
ZhuLinsen
ZhuLinsen released daily_stock_analysis for multi-market analysis with automated push.
Source finding
RELEASED
ZhuLinsen
ZhuLinsen released daily_stock_analysis for multi-market analysis with automated push.
Source finding
USES
LiteLLM
daily_stock_analysis uses LiteLLM for unified access to OpenAI, Claude, Gemini, DeepSeek, and Qwen.
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USES
Novita AI
Daily Stock Analysis added Novita AI provider in March 2026.
Source finding
USES
YFinance
Daily Stock Analysis uses YFinance as a data source.

Source trail

GitHub GitHub

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