Track and analyze watchlists across ASX, US, and China A-share markets with real technical indicators.
Test trading strategies with paper-trading agents that keep strategy memory without risking real money.
Review prediction hit rates and confidence scores as past signals play out over time.
| wk140320/quant-watch | gangweix/next-forcing | wanduforl/macarkpet | |
|---|---|---|---|
| Stars | 51 | 51 | 51 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | easy | hard | easy |
| Complexity | 3/5 | 5/5 | 2/5 |
| Audience | general | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
Runs with no npm dependencies beyond what the project declares, but richer data requires optional third-party API keys.
Global Quant Watch is a local stock market analysis dashboard that covers three markets: the Australian Securities Exchange, US equities, and China A-shares. It runs entirely on your own machine with no cloud account required and does not place real trades. The readme describes it as a research and personal analysis tool, not financial advice. The dashboard pulls real market data from configured external providers using optional API keys. It calculates standard technical indicators including MACD, RSI, trend, and momentum signals, and aggregates news and macro signals from the same providers or free fallbacks. Portfolio-aware features include stop-loss checks, position sizing guidance, and user-configured alerts. The app also tracks paper-trading agents that maintain strategy memory across multiple runs without touching a real brokerage account. A prediction tracking system logs past signals with their outcomes, calculating hit rates and confidence scores that update as results come in. The app only uses real data returned from providers or saved local snapshots. If no real provider or saved snapshot is available, it reports a provider failure rather than fabricating prices. Setup requires Node.js version 20 or newer and no additional npm packages beyond what the project declares. Copying the example environment file and running npm start is enough to launch the server. The dashboard opens in a browser at a local address. All API keys are optional and kept in a local file that git ignores. The cache directory, which stores watchlists and analysis history, is also excluded from version control. The project is released under the MIT license.
A self-hosted dashboard for research-only stock analysis across Australian, US, and China A-share markets, with technical indicators and paper-trading tracking, no real trades placed.
Mainly JavaScript. The stack also includes JavaScript, Node.js.
MIT license: free to use, copy, modify, and distribute, including commercially, as long as the copyright notice is kept.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.