# arimanyus/warrenduffer > Intraday trading bot for Indian stocks: the Jev LLM ranks Nifty 50 names every 15 seconds, while code sizes each trade, places the stop, and sends live orders through Zerodha Kite or Kotak Neo. - Magnitude: 4.9 out of 10 — Early signal - Stars: 86 total · +0 stars today, ≈ 42 by evening - Star trust: star growth looks organic - Category: Finance & crypto · Language: TypeScript · License: MIT · Created: 2026-09-22 · Last push: 2026-09-23 - GitHub: https://github.com/arimanyus/warrenduffer · Page: https://gitnova.dev/en/r/arimanyus/warrenduffer ## Useful for - Run the engine with LIVE_QTY=1 to verify the broker plumbing on real orders - Replay a past session with pnpm replay to see how Jev reads price and volume state - Tune risk thresholds and the daily loss cap in risk.json before trading ## Why it’s here - 0 stars so far today, about 42 expected by the end of the day. - The spike has held for 2 days in a row — not a one-off blip. - The repository is 2 days old and already has 86 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #196. - About 17 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 25 - Issues and pull requests: 0 - Watchers: 1 - Average over the last week: 43 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 - Latest release: v0.1.0 (2026-09-23) ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-24: 0, 0, 1, 85, 0 ## Spotted in now - Top new repositories this week: #196 ## More in this category 1. **Open-Dev-Society/OpenStock** — 6.3 · Peaking · Finance & crypto · TypeScript · +2 stars today, ≈ 258 by evening An open-source alternative to paid market platforms: real-time price tracking, personalized alerts, and company insights. Built with Next.js, MongoDB, and Finnhub, free for everyone. Full card: https://gitnova.dev/en/r/Open-Dev-Society/OpenStock.md 2. **TNT-Likely/PanWatch** — 5.7 · Breakout · Finance & crypto · Python · +0 stars today, ≈ 158 by evening Self-hosted AI stock-watching assistant for A-shares, HK and US markets: real-time quotes, portfolio tracking, technical analysis and IM notifications. Integrates TradingAgents for multi-agent position analysis with bull/bear debate and a… Full card: https://gitnova.dev/en/r/TNT-Likely/PanWatch.md 3. **juspay/hyperswitch** — 5.5 · Breakout · Finance & crypto · Rust · +0 stars today, ≈ 70 by evening Open-source composable payments infrastructure in Rust: routing transactions across 120+ providers, retries, a PCI-compliant vault, reconciliation and cost observability. For teams that want to own their payments stack without vendor… Full card: https://gitnova.dev/en/r/juspay/hyperswitch.md 4. **Shelpid/SETS** — 5.3 · Early signal · Finance & crypto · JavaScript · +0 stars today, ≈ 60 by evening A browser sandbox where a genetic algorithm evolves grid-DCA trading strategies on real BTCUSDT candles, gating survivors through out-of-sample validation and paper trading. Full card: https://gitnova.dev/en/r/Shelpid/SETS.md 5. **Mathieu2301/TradingView-API** — 3.8 · Steady · Finance & crypto · JavaScript · +1 star today, ≈ 77 by evening JavaScript library to fetch realtime quotes and indicator values from TradingView, including premium features and invite-only indicators. Useful for traders and trading bot developers. Full card: https://gitnova.dev/en/r/Mathieu2301/TradingView-API.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 07:06 UTC, updated every 30 minutes.