# QuantMLResearch/quant-handbook > A quantitative investing handbook for A-shares: 8 modules and 31 lessons with Python scripts, covering PIT data, factors, ML, portfolio optimization and backtesting with T+1 and price limits. - Magnitude: 2.0 out of 10 — Steady - Stars: 127 total · +7 stars measured 2026-10-29, 14:30–16:59 UTC, ≈ 9 by evening - Star trust: star growth looks organic - Category: Finance & crypto · Language: Python · Created: 2026-10-27 · Last push: 2026-10-29 - GitHub: https://github.com/QuantMLResearch/quant-handbook · Homepage: https://www.quantml.cn/tutorial/ · Page: https://gitnova.dev/en/r/QuantMLResearch/quant-handbook ## Useful for - Study PIT alignment of financial reports without lookahead bias - Build a factor analysis pipeline with IC, quantile backtest and alpha decay - Test A-share backtest rules: price limits, T+1, fees and dividends ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 14:30–16:59: 120 → 127 stars (+7). This is the change over that interval. - Estimated end-of-day forecast: about +9 stars, using observed gains and the previous day. - The repository is 2 days old and already has 127 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #184. - About 55 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: 30 - Issues and pull requests: 0 - Watchers: 1 - Average over the last week: 4 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-27 … 2026-10-29: 0, 2, 7 ## Spotted in now - Top new repositories this week: #184 ## More in this category 1. **athenaos-tech/athenaos-agent** — 6.0 · Early signal · Finance & crypto · TypeScript · +46 stars measured 2026-10-29, 00:03–16:53 UTC, ≈ 71 by evening Autonomous multi-agent crypto intelligence and trading desk for BNB Smart Chain, with five scouts screening meme tokens, LP, NFT, narrative and whale flows, gated by a 3-layer swarm consensus and controlled via Discord, terminal, Telegram… Full card: https://gitnova.dev/en/r/athenaos-tech/athenaos-agent.md 2. **Jakeschincariol/day-trader-skill** — 5.0 · Peaking · Finance & crypto · Python · +388 stars measured 2026-10-29, 00:03–16:53 UTC, ≈ 526 by evening A set of 11 Claude skills for day trading: chart scanning, news tracking, entry/exit timing, trade outcome simulation and risk checks on free public data. Full card: https://gitnova.dev/en/r/Jakeschincariol/day-trader-skill.md 3. **juspay/hyperswitch** — 3.6 · Breakout · Finance & crypto · Rust · +17 stars measured 2026-10-29, 10:51–16:55 UTC, ≈ 31 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. **HKUDS/Vibe-Trading** — 3.5 · Steady · Finance & crypto · Python · +98 stars measured 2026-10-29, 00:04–16:55 UTC, ≈ 136 by evening AI agent for trading and quantitative research: runs backtests, factor analysis, paper trading and live strategies via LLM and MCP. Aimed at traders and quant developers. Full card: https://gitnova.dev/en/r/HKUDS/Vibe-Trading.md 5. **bnbxcs/TMTN** — 3.5 · Early signal · Finance & crypto · JavaScript · +24 stars measured 2026-10-29, 00:04–16:55 UTC, ≈ 33 by evening A local trading terminal for BSC meme coins on agent-only launchpads (Flap, Four.meme, gang.fun): a Node.js server on 127.0.0.1 with a browser UI, signing trades via Binance Agentic Wallet CLI without storing a private key. Full card: https://gitnova.dev/en/r/bnbxcs/TMTN.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 2026-10-29 17:07 UTC, updated every 30 minutes.