vnpy

4.5 万星的国产量化框架，你听说过没？ 策略研究、回测、实盘共用一套事件驱动，国内期货期权接 CTP，海外账户走 IB 网关。 我原本以为国产框架只能跑回测，结果实盘对接也做全了。 仓库：vnpy/vnpy 你用 CTP 还是 IB？ t.co

Tick data won't fix your fill logic. VeighNa CTA matches existing orders before on_tick runs. A new order can't join a matching pass that's already over. Check event order before blaming the data. github.com/vnpy/vnpy_ctastrategy/blob/main/vnpy_c… #EdgePilot #Backtesting t.co

Tick 更细，不代表成交更快。 VeighNa CTA 当前回测实现里，先撮合已有委托，再调用 on_tick。回调里新发的单，不会倒回本次已完成的撮合。 排查「信号价怎么没成交」，先看事件顺序和撮合条件，再看数据粒度。 github.com/vnpy/vnpy_ctastrategy/blob/main/vnpy_c… #EdgePilot #策略回测 t.co

Tick 更细，不代表成交更快。 VeighNa CTA 当前回测实现里，先撮合已有委托，再调用 on_tick。回调里新发的单，不会倒回本次已完成的撮合。 排查「信号价怎么没成交」，先看事件顺序和撮合条件，再看数据粒度。 github.com/vnpy/vnpy_ctastrategy/blob/main/vnpy_c… #EdgePilot #策略回测 t.co

😤 量化平台年费上万，个人进不去。vnpy 是国内最主流的开源量化框架，4.5 万星，期货股票期权全接，策略写完直接回测和实盘，代码全在自己手里。 vnpy/vnpy

Top 10 Trading Repositories on GitHub (October 2026 Update) Every trading platform you can buy is competing with something free on GitHub. These are the ten open-source repositories actually worth your weekend — ranked by maintenance, documentation, honesty about performance and live-trading support, not by stars alone. Star counts, licences, release dates and last-commit dates are all live as of October 2026. ⏱️ CHAPTERS 00:00 The best trading software is free 00:47 How we ranked 17 repositories (the five-point test) 01:30 #10 FinRL — deep reinforcement learning for trading 02:17 #09 Hummingbot — market making and execution 03:01 #08 LEAN Engine — QuantConnect's institutional engine 03:43 #07 yfinance — the market data layer 04:25 #06 NautilusTrader — Rust core, Python API 05:07 #05 CCXT — one API for 100+ exchanges 05:53 #04 VeighNa (vnpy) — full platform with an ML module 06:40 #03 Qlib — Microsoft's AI quant research platform 07:25 #02 freqtrade — the retail crypto bot standard 08:15 #01 OpenBB — the biggest finance repo on GitHub 09:03 The 2026 open-source stack (how they fit together) 09:49 Rules before you clone anything 🔗 ALL TEN REPOSITORIES 1. OpenBB — 74.0k stars · Apache-2.0 — OpenBB-finance/OpenBB 2. freqtrade — 55.2k stars · GPL-3.0 — freqtrade/freqtrade 3. Qlib — 49.2k stars · MIT — microsoft/qlib 4. VeighNa (vnpy) — 45.8k stars · MIT — vnpy/vnpy 5. CCXT — 44.3k stars · MIT — ccxt/ccxt 6. NautilusTrader — 29.8k stars · LGPL-3.0 — nautechsystems/nautilus_trader 7. yfinance — 25.5k stars · Apache-2.0 — ranaroussi/yfinance 8. LEAN Engine — 21.9k stars · Apache-2.0 — QuantConnect/Lean 9. Hummingbot — 20.4k stars · Apache-2.0 — hummingbot/hummingbot 10. FinRL — 16.6k stars · MIT — AI4Finance-Foundation/FinRL ❌ WHAT DID NOT MAKE IT backtrader (23.4k stars) still has not been touched since April 2023, so it is out despite the star count. Indicator and backtesting libraries — TA-Lib, vectorbt, jesse, StockSharp — are honourable mentions rather than full systems. 🧪 HOW WE RANKED THEM 1. Is it maintained? (last commit + release cadence — this alone removed a famous library) 2. Can you run it this weekend? (install docs, Docker, a tutorial that ends in a working strategy) 3. Is it honest about performance? (fees and slippage modelled, overfitting warnings in the docs) 4. Does it trade live, or is it a research toy? 5. Is there a community behind it? (contributors, merged PRs, answered issues) ⚠️ THREE RULES BEFORE YOU CLONE 1. Backtests lie by default — fees, slippage, look-ahead bias and overfitting. Test on data your model has never seen. 2. Paper trade first. Freqtrade's own docs say dry-run for a month; that applies to every repo here. 3. Check the licence before you build a business on it. These range from MIT and Apache to GPL and LGPL. Nothing in this video is financial advice. These are educational, open-source tools and most of them can lose money quickly. Which repository are you cloning first? Tell me in the comments. #Trading #OpenSource #GitHub