Lihw99

Lihw99 / DeepTraderV2

Public

DeepTrader — 把聚宽策略直接搬到你电脑本地跑,不需要会员、不需要上传代码。 聚宽策略 → 复制 → 粘贴 → 一键迁移 → 本地运行 3行说明: - 把聚宽策略(.py)直接迁移到本地,一行代码不用改 - 免费使用 Tushare 数据,无需手动下载 - 支持 90%+ 聚宽 API,均线、止损、轮仓都能跑 一句话: ▎ 聚宽策略本地跑,零门槛私有化。

16
5
100% credibility
Found May 07, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

DeepTraderV2 is a Python tool for migrating and running Chinese stock trading strategies from the Juquan platform locally with backtesting using free data sources.

How It Works

1
🔍 Discover DeepTrader

You hear about a simple way to test your stock trading ideas on your own computer without needing an online membership or sharing your private strategies.

2
📝 Prepare your trading idea

You take your existing trading strategy code, like a simple rule for buying or selling stocks, and save it in a new file.

3
Transform your strategy

With one easy command, the built-in tool automatically updates your code to work perfectly in this local setup, saving you hours of manual changes.

4
📊 Link free stock data

You sign up for a free account at a stock data service and add your access details so your tests use real market history.

5
🛠️ Set up your test

You pick the stocks, date range, and starting money amount to simulate your strategy's performance.

6
🚀 Launch the backtest

You run your updated strategy, and it simulates trading day by day on your computer, feeling quick and smooth.

📈 Review your results

You get a clear report showing starting cash, final amount, profit, and return percentage, so you know exactly how your idea performed.

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AI-Generated Review

What is DeepTraderV2?

DeepTraderV2 is a Python tool that ports JoinQuant strategies to your local machine—no membership, no code uploads needed. Copy-paste your .py strategy file, run a one-line CLI migration command, and backtest offline using free Tushare data. It delivers 90%+ JoinQuant API compatibility, so moving averages, stop-losses, and rotations just work.

Why is it gaining traction?

The auto-migrator handles 90%+ of APIs with zero-threshold tweaks, saving hours of refactoring—developers paste code and run. Local execution keeps strategies private, skipping cloud risks, while Tushare pulls data automatically without downloads. Quick backtests spit out yields, positions, and logs in seconds.

Who should use this?

JoinQuant users ditching paid platforms for local Python backtesting. Quant hobbyists testing mean-reversion or sector-rotation ideas without API rewrites. Algo traders needing Tushare daily bars, index stocks, or fundamentals for offline sims.

Verdict

Grab it for fast JoinQuant migrations—the CLI, examples, and docs lower the barrier nicely. At 12 stars and 1.0% credibility, it's raw; validate outputs before real money.

(178 words)

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