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QuantDinger
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QuantDinger
@QuantDinger_EN
AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source. 中文频道：@Dingerquant
New York, USA 가입일 Temmuz 2024
148 팔로잉138 팔로워
QuantDinger 리트윗함
QuantDinger 리트윗함
type your strategy in plain English. AI writes the Python, backtests it, deploys live. 7 agents debate every trade. Binance, OKX, IBKR, MT5. keys never leave your server. docker-compose up in 2 min. github.com/brokermr810/Qu… #AI #Trading #OpenSource
English
QuantDinger 리트윗함
这周金融圈涨星最快的GitHub项目，整理了一下：
1. TradingAgents（+7.9K星）——UCLA和MIT搞的多智能体交易框架。里面有基本面分析师、情绪分析师、技术面分析师、风控师，还支持DeepSeek V4的思维模式。
2. FinceptTerminal（+4.3K星）——用C++20和Qt6写的开源版Bloomberg。内置37个AI智能体，风格分别是巴菲特、芒格、林奇、格雷厄姆那一套。支持16家券商实时交易，还自带MCP和AI量化标签页。
3. daily_stock_analysis（+2.3K星）——覆盖美股、A股、港股的LLM股票分析器。自动生成包含入场点、出场点的每日决策仪表盘，通过GitHub Actions推到微信、Telegram、Discord、邮箱。
4. Vibe-Trading（+1.9K星）——个人交易智能体。自然语言写策略、回测、导出到TradingView或MT5，一条pip install命令就能搭起你自己的AI交易台。
5. QuantDinger（+837星）——自托管的AI量化操作系统。能研究市场、生成Python策略、回测想法、跑实盘。支持加密货币、股票（通过IBKR）、外汇（通过MT5）。一个Docker Compose搞定，基础设施和数据都是你自己的。
6. TradingAgents-CN（+641星）——TradingAgents的中文版。针对A股市场、中文数据源和国产大模型做了完全本地化。
7. last30days-skill（+630星）——AI智能体技能，能研究过去30天里Reddit、X、YouTube、HN、Polymarket以及全网的任何话题，可以接入任何智能体框架。
8. qlib（+569星）——微软出的AI量化投资平台。端到端流程：数据到Alpha到投资组合到执行。目前圈内最严肃的开源量化基础设施。
9. scientific-agent-skills（+511星）——研究、科学、工程、分析、金融都能用的即用型智能体技能，可以接入任何智能体框架。覆盖生物信息学、化学信息学，现在还加上了Hugging Science。
10. OpenBB（+387星）——面向分析师、量化研究员和AI智能体的开源金融数据平台。股票、加密货币、期权、衍生品、固收，一个平台全集成。
中文
QuantDinger 리트윗함
本周金融领域增长最快的 GitHub 仓库：
1. TradingAgents (+7.9K ★) 来自 UCLA/MIT 的多智能体 LLM 交易框架。包含基本面分析师、情绪分析师、技术面分析师、风险管理师，支持 DeepSeek V4 思维模式。
2. FinceptTerminal (+4.3K ★) 基于 C++20 + Qt6 构建的开源 Bloomberg 替代方案。拥有 37 个巴菲特/芒格/林奇/格雷厄姆风格的 AI 智能体。支持 16 个券商集成的实时交易。内置 MCP + AI 量化标签页。
3. daily_stock_analysis (+2.3K ★) 面向美股、A 股和港股市场的 LLM 股票分析器。
自动构建包含入场/出场水平的每日决策仪表盘。通过 GitHub Actions 推送到微信/Telegram/Discord/Email。
4. Vibe-Trading (+1.9K ★) 个人交易智能体。自然语言 - 策略 - 回测 - 导出至 TradingView/MT5。只需一个 pip install，即可拥有属于你自己的 AI 交易台。
5. QuantDinger (+837 ★) 自托管 AI 量化操作系统。研究市场、生成 Python 策略、回测想法、运行实盘交易。
支持加密货币、通过 IBKR 交易股票、通过 MT5 交易外汇。一个 Docker Compose，你的基础设施，你的数据。
6. TradingAgents-CN (+641 ★) TradingAgents 的中文分支。针对 A 股市场、中文数据源和国产大模型进行了完全本地化。
7. last30days-skill (+630 ★) AI 智能体技能，可研究过去 30 天内 Reddit、X、YouTube、HN、Polymarket 及全网的任何话题。可接入任何智能体框架。
8. qlib (+569 ★) 微软推出的面向 AI 的量化投资平台。
端到端流程：数据 - Alpha - 投资组合 - 执行。目前最严肃的开源量化基础设施。
9. scientific-agent-skills (+511 ★) 用于研究、科学、工程、分析和金融的即用型智能体技能。可接入任何智能体框架。涵盖生物信息学、化学信息学，以及现在的 Hugging Science。
10. OpenBB (+387 ★) 面向分析师、量化研究员和 AI 智能体的开源金融数据平台。在一个平台上集成股票、加密货币、期权、衍生品、固定收益。
中文
QuantDinger 리트윗함
做量化交易研究最烦的就是工具链太碎：AI 分析一套、写策略一套、回测一套、实盘又一套，来回切换既耗时又容易出错。
最近发现一个开源项目 QuantDinger，把 AI 研究、策略开发、回测到实盘执行全部收进一个平台里，而且支持完全自部署。
你只要用一句话描述交易想法，AI 就能直接生成 Python 策略代码；改完立刻回测，结果满意就一键接入实盘，全流程不出平台、不用折腾各种工具。
GitHub：github.com/brokermr810/Qu…
它还覆盖加密货币、美股、外汇等多市场，并内置多用户管理与多渠道告警通知。核心数据、API 密钥、策略代码都保存在本地，Docker 一键部署即可。
适合想搭建私有化交易平台，或希望用 AI 提升量化研究效率的同学上手体验。
中文
QuantDinger 리트윗함
90% of algorithmic traders aren't using AI and Agents for live trading and research.
So this guy open-sourced something to help (for free):
English
We are absolutely thrilled that QuantDinger has been featured on this week's list of trending open-source finance projects! 🥳
A huge thank you to the blogger for the shout-out, and to everyone who follows quantitative trading tools.
We are an AI-powered quantitative trading operating system designed with a primary focus on local, privacy-first operations—handling everything from strategy generation to live trading with just a single click.
We invite all quantitative trading enthusiasts to give it a try! 👇
English
The fastest growing GitHub repos in finance this week.
Bookmark them.
English
Can’t believe we’re on the list two weeks running! Huge thanks for the shoutout. 🙏
If you’re a quant trader or developer, give QuantDinger a try, share it if it works for you, and let us know your feedback.
A star on GitHub helps a ton with discovery, and we’ll keep building it out for the community!
English
THIS GUY BUILT THE FASTEST GROWING GITHUB REPOS LIST.
CHECK IT OUT AND BOOKMARK IT.
x.com/i/status/20505…
wincy.eth@gusik4ever
the fastest growing GitHub repos in finance this week: 1. TradingAgents (+7.9K ★) multi-agent LLM trading framework from UCLA/MIT. fundamental analyst, sentiment analyst, technicals, risk manager with DeepSeek V4 thinking-mode support. 2. FinceptTerminal (+4.3K ★) open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. real-time trading with 16 broker integrations. internal MCP + AI quant tabs. 3. daily_stock_analysis (+2.3K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. 4. Vibe-Trading (+1.9K ★) personal trading agent. natural language - strategy - backtest - export to TradingView/MT5. your own AI trading desk in one pip install. 5. QuantDinger (+837 ★) self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data. 6. TradingAgents-CN (+641 ★) Chinese fork of TradingAgents. fully localized for A-share markets, Chinese data sources, and domestic LLMs. 7. last30days-skill (+630 ★) AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent. 8. qlib (+569 ★) Microsoft's AI-oriented quant investment platform. end-to-end: data - alpha - portfolio - execution. the most serious open-source quant infrastructure out there. 9. scientific-agent-skills (+511 ★) ready-to-use agent skills for research, science, engineering, analysis, and finance. plug into any agent framework. covers bioinformatics, cheminformatics, and now Hugging Science. 10. OpenBB (+387 ★) open-source financial data platform for analysts, quants, and AI agents. stocks, crypto, options, derivatives, fixed income шт one platform. integrates with AI agents via MCP.
English
@qkl2058 连续两周上榜，太开心了！🚀 QuantDinger 还在持续优化，欢迎量化玩家试用、反馈，你的 Star 就是我们的动力！
中文
No way, two weeks in a row! Thank you so much for sharing this. 🙏
This project is all about helping the quant community, so if you’re a trader or dev, feel free to give it a spin, share it with your crew, and let us know your honest thoughts.
And if it’s useful to you, a GitHub star would mean the world — it really helps others find it. We’re just getting started and will keep improving!
Repo: github.com/brokermr810/Qu…
English
This week’s fastest-growing finance repos on GitHub tell a very clear story.
It’s not about “AI in trading” anymore.
It’s about *agents replacing the entire trading stack*.
Look at the top projects:
Multi-agent systems doing fundamental, sentiment, technicals, and risk in parallel.
Terminals replacing Bloomberg with dozens of AI analysts modeled after Buffett and Munger.
Self-hosted quant OS setups where research → strategy → backtest → execution all happen in one loop.
This isn’t tooling.
It’s *automation of the entire workflow*.
What used to require a team—analysts, quants, traders, infra—is collapsing into a single system.
And the design pattern is repeating everywhere:
Agents + data + execution layer.
That’s the new primitive.
The interesting shift is not capability.
It’s *abstraction*.
Before, trading systems were built around:
data pipelines → models → dashboards → human decisions
Now it’s becoming:
agents → decisions → execution → feedback
The human is no longer in the critical path.
Even more interesting:
A lot of these tools are self-hosted.
“Your infra. Your data. Your agents.”
That’s a reaction to something deeper.
In finance, edge = information + speed.
If your agent runs on someone else’s system, you’re already late.
So the stack is moving local.
There’s also a cultural shift happening.
You see forks like TradingAgents-CN adapting to local markets, data, and models.
This space is fragmenting fast.
Not one dominant system—
but many localized, specialized agent stacks.
But here’s the part most people miss:
When everyone has access to similar agent capabilities…
Alpha doesn’t come from *having AI*.
It comes from:
• better data
• better constraints
• better orchestration
Same story, new layer.
We’re watching trading evolve from:
“Who has the best model?”
to
“Who has the best system of agents working together?”
And once that clicks,
the role of the human changes again.
Not the one making trades.
But the one designing the system that makes them.
Image credit: @gusik4ever
English
Wow, two weeks in a row on this list — seriously blown away by the support! 🙏
We built QuantDinger for the quant community, so we’d love for more traders and devs to check it out, pass it along if it helps, and let us know what you think.
If you find it useful, dropping a star on GitHub would go a long way in helping more people find the tool.
We’ll keep iterating and making it better for everyone! github.com/brokermr810/Qu…
English
Hey there! I’ve been following your content for a while, and I really love how you always share such high-quality quant projects — they’ve been super helpful.
Our team just open-sourced QuantDinger, an all-in-one quant platform that covers strategy development, backtesting, and live trading. We’ve spent a lot of time polishing the features and usability, and a lot of early users have said it’s way more practical than similar tools out there.
I was wondering if you’d be interested in checking it out and maybe giving it a test run?
If you think it’s a good fit for your audience, we’d be so grateful for a mention or share.
As a small open-source project, your support would mean the world to us.
GitHub: github.com/brokermr810/Qu…
Either way, thanks so much for putting out such great content for the community! 🙏
English
10 free GitHub repos that anyone with $100 and a laptop can use to trade like a hedge fund in 2026.
These are the same tools 300+ hedge funds quietly run on. Bookmark this. The list will save you years.
1. OpenBB
A free Bloomberg Terminal. Stocks, options, futures, crypto, forex, all in one platform. The Bloomberg Terminal costs $25,000 a year. This costs $0.
Repo → github.com/OpenBB-finance…
2. Lean (QuantConnect)
The algorithmic trading engine 300+ real hedge funds use right now. Backtest on 25 years of data, deploy live to Interactive Brokers or Alpaca.
Repo → github.com/QuantConnect/L…
3. qlib (Microsoft)
Microsoft's full quant investment platform. The most serious open-source quant infrastructure ever shipped.
Repo → github.com/microsoft/qlib
4. Backtrader
The Python backtesting framework every quant learns first. Used in graduate finance programs around the world.
Repo → github.com/mementum/backt…
5. TradingAgents
A multi-agent LLM trading framework from UCLA and MIT. Autonomous AI agents acting as analyst, technician, and risk manager.
Repo → github.com/TauricResearch…
6. Riskfolio-Lib
The portfolio optimization library quants use to allocate capital. Mean-variance, Black-Litterman, CVaR, all in one place.
Repo → github.com/dcajasn/Riskfo…
7. yfinance
The free market data API every Python finance course starts with. Real-time and historical data on 100,000+ tickers.
Repo → github.com/ranaroussi/yfi…
8. FinanceToolkit
150+ financial ratios, indicators, and valuation models in one library.
Repo → github.com/JerBouma/Finan…
9. vectorbt
The fastest backtesting engine in Python. Test thousands of strategies in seconds.
Repo → github.com/polakowo/vecto…
10. TradingView Lightweight Charts
The charting library powering real fintech apps in production. The reason your trading dashboard looks professional.
Repo → github.com/tradingview/li…
Here's the wildest part:
A Bloomberg Terminal costs $25,000 a year. A junior hedge fund analyst costs $250,000. Goldman Sachs research costs millions.
These 10 repos give a kid with $100 and a laptop access to most of what Wall Street pays for.
A trading desk in 2010 cost $50,000 to set up. In 2026, the entire stack is free.
The barrier between retail and Wall Street has never been lower.
Save this before you forget.
100% free. 100% open source.
English
Wow, two weeks in a row on this list — seriously blown away by the support! 🙏
We built QuantDinger for the quant community, so we’d love for more traders and devs to check it out, pass it along if it helps, and let us know what you think.If you find it useful, dropping a star on GitHub would go a long way in helping more people find the tool.
We’ll keep iterating and making it better for everyone!Repo: github.com/brokermr810/Qu…
English
The fastest growing GitHub repos in finance this week:
1. TradingAgents (+7.9K ★)
multi-agent LLM trading framework from UCLA/MIT. fundamental analyst, sentiment analyst, technicals, risk manager with DeepSeek V4 thinking-mode support.
2. FinceptTerminal (+4.3K ★)
open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. real-time trading with 16 broker integrations. internal MCP + AI quant tabs.
3. daily_stock_analysis (+2.3K ★)
LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions.
4. Vibe-Trading (+1.9K ★)
personal trading agent. natural language - strategy - backtest - export to TradingView/MT5. your own AI trading desk in one pip install.
5. QuantDinger (+837 ★)
self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data.
6. TradingAgents-CN (+641 ★)
Chinese fork of TradingAgents. fully localized for A-share markets, Chinese data sources, and domestic LLMs.
7. last30days-skill (+630 ★)
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent.
8. qlib (+569 ★)
Microsoft's AI-oriented quant investment platform. end-to-end: data - alpha - portfolio - execution. the most serious open-source quant infrastructure out there.
9. scientific-agent-skills (+511 ★)
ready-to-use agent skills for research, science, engineering, analysis, and finance. plug into any agent framework. covers bioinformatics, cheminformatics, and now Hugging Science.
10. OpenBB (+387 ★)
open-source financial data platform for analysts, quants, and AI agents. stocks, crypto, options, derivatives, fixed income шт one platform. integrates with AI agents via MCP.
🚨Want to learn Algorithmic Trading Strategies (that actually work)?
On May 14th, we are hosting a free workshop to help you get started with algorithmic trading with Python.
Register here (500 seats): learn.quantscience.io/join
English
QuantDinger Mobile is now OPEN SOURCE 🚀
Not just a UI demo.
A real AI-powered quant trading mobile frontend.
Built for:
• AI market analysis
• Multi-exchange trading
• Strategy monitoring
• Real-time positions
• Quant workflow management
Features:
⚡ Real-time trading dashboard
🤖 AI analysis workspace
📈 Market watchlists & indicators
🔐 API key management
💰 Exchange balance tracking
🌍 Multi-market support
This is part of the QuantDinger ecosystem:
An open-source AI quant trading platform designed for research, backtesting, automation, and live trading.
🌐 Official Site:
m.quantdinger.com
🖥 Open Source Repo:
github.com/brokermr810/Qu…
We’re building the future of open-source quant trading.
Contributors, traders, and builders are welcome.
#opensource #trading #quant #crypto #AI #python #fintech #web3 #QuantDinger
English
10 GitHub repos that print money while you sleep:
1. AutoHedge
github.com/The-Swarm-Corp…
2. Vibe-Trading
github.com/HKUDS/Vibe-Tra…
3. Claude Ads
github.com/AgriciDaniel/c…
4. Toprank
github.com/nowork-studio/…
5. Fincept Terminal
github.com/Fincept-Corpor…
6. Agentic Inbox
github.com/cloudflare/age…
7. ClawRouter
github.com/mksglu/context…
8. Camofox Browser
github.com/jo-inc/camofox…
9. Open Higgsfield AI
github.com/Anil-matcha/Op…
10. Hyperframes
github.com/heygen-com/hyp…
If you’d love to see more content like this, don’t forget to follow @I_am_Aiabir for more AI magic.
English
@qkl2058 说实话，我们曾深入研究过trading agents ，我觉得他的架构设计可以，但是过于臃肿，而且agent 相互验证最终输出结果和抛硬币没有区别。至于它的爆火我觉得又是类似LLM服务商做的一个局，类似之前open clow那一次。如果博主有兴趣可以研究一下QuantDinger的AI分析以及实盘介入的方法，欢迎测评
中文
这周开源 AI 炒股项目里最火的，就是升级后的 TradingAgents，GitHub 上已经冲到 6.3 万多星了。
它有意思的地方在于，把真实华尔街交易公司的运作方式给模拟出来了。一群 AI 像员工一样，各管各的一摊：
· 四个分析师，分别盯着财报、市场情绪、新闻还有 K 线
· 看多的研究员和看空的研究员当场辩论，谁也不让谁
· 交易员根据讨论结果来决定买卖
· 最后还有风控和老板审核把关，签完字才算数
模型支持上也很宽，GPT、Claude、DeepSeek、国产模型都能用，还可以本地跑。
区块链行情研究@qkl2058
有个叫 TradingAgents 的开源项目，直接把数亿级的量化系统公开了，华尔街那边估计不太淡定。 这个 AI 多智能体量化框架，普通人也能上手，没有想象中那么难。 说几个要点： · 用了 GPT-5.4 加 Claude 4.6 双大模型，多个智能体之间会互相讨论，最后给出一个综合的交易决策。 · 拿十年历史数据跑过回测，年化收益稳定在 30.5%，最大回撤控制得很好，表现比很多传统顶级对冲基金还强。 · 针对中文市场做了优化，A 股、港股、美股都覆盖，本地数据源也能很好地对接。 · 部署起来很方便，用 Docker 就能搭建，有 Web 界面，操作不复杂，还能自动生成投研报告。 社区现在挺活跃，上手也快。AI 投研这套东西，正在让量化不再是少数有钱人的专属玩法。
中文
@caelynzh 说实话，我们曾深入研究过trading agents ，我觉得他的架构设计可以，但是过于臃肿，而且agent 相互验证最终输出结果和抛硬币没有区别。至于它的爆火我觉得又是类似LLM服务商做的一个局，类似之前open clow那一次。如果博主有兴趣可以研究一下QuantDinger的AI分析以及实盘介入的方法，欢迎测评
中文
Markets are no longer ruled by emotion—AI dominates modern trading.
It filters noise, analyzes sentiment, backtests strategies, and captures opportunities humans easily miss.
The future of quantitative investing is intelligent, automated, and rule-based.
Let QuantDinger lead your AI quant journey
github.com/brokermr810/Qu…
#AlgorithmicTrading #QuantDinger #AIInvesting
English
