QuantDinger

AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source.
中文频道：@Dingerquant

[QuantDinger @QuantDinger_EN]

QuantDinger version 3.0.30 has been released and is now officially integrated with Alpaca. It fully supports live trading of US stocks, ETFs, and options!

[QuantDinger @QuantDinger_EN]

Imagine three years from now: trading isn’t about staring at screens or reacting to every price tick. It’s about setting your goals, defining your boundaries, and letting AI handle execution, risk, and optimization. You become a strategist, a portfolio operator, a value creator—while the machine handles the mechanics. Compound knowledge, not just capital.
#FutureOfTrading #AITrading #QuantDinger

[QuantDinger @QuantDinger_EN]

QuantDinger is building the open-source AI infrastructure layer for the next generation of quant trading.
We turn trading ideas into executable strategies through AI agents, backtesting, risk control, and live execution — enabling individuals, teams, and fintech companies to launch their own AI-powered quant systems faster and cheaper.

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance + AI this week:

1. TradingAgents (+~2,000 ★)

multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and real trading firm dynamics into a single stack.

https://t.co/IvYOYlN59H

2. MoneyPrinterTurbo (+11,147 ★)

one-click short video generator powered by AI LLMs. widely used in AI-driven content monetization pipelines. biggest star spike of the week across all finance-adjacent AI repos.

https://t.co/5p10rF8Qut

3. OpenBB (+~1,500 ★)

open-source financial data platform for analysts, quants, and AI agents. covers stocks, derivatives, crypto, fixed income, and macro. actively developed with a push today.

https://t.co/M1t4gtXiWu

4. nofx (+~800 ★)

AI-native trading terminal for US stocks, commodities, forex, and crypto. real-time market data with built-in intelligent analysis and agent-ready architecture.

https://t.co/gqZFT00tYs

5. Vibe-Trading (+728 ★)

personal AI trading agent with multi-agent architecture, MCP support, backtesting, and algorithmic trading across asset classes. built by HKUDS research lab.

https://t.co/15UUXF0Zuf

6. QuantDinger (+726 ★)

AI quantitative trading platform for crypto, stocks, and forex. includes live trading, backtesting, market analytics, and integrations with Binance, Alpaca, MT5, and Coinbase.

https://t.co/x8GHftf5XX

7. FinRobot (+~300 ★)

open-source AI agent platform for financial analysis using LLMs. covers robo-advisory, report analysis, and market research. maintained by AI4Finance Foundation.

https://t.co/UgO9rdE8V7

8. ValueCell (+~250 ★)

community-driven multi-agent platform for financial applications. covers investment research, stock and crypto monitoring, and agentic finance workflows.

https://t.co/68WHsXgt4n

9. TradingAgents-AShare (+~150 ★)

Chinese A-share multi-agent investment research system built on TradingAgents architecture. 15 AI agents simulate institutional collaboration with real-time debate. supports Claude Code and Docker.

https://t.co/MXTzPt6oUY

10. sec-edgar-mcp (+~100 ★)

MCP server that gives AI agents direct access to SEC EDGAR filings. lets LLMs read and analyze 10-Ks, 10-Qs, and other public financial disclosures from US-listed companies.

https://t.co/3XP2t89jxH

bookmark this and start today.

[QuantDinger @QuantDinger_EN]

The barrier to entry for quantitative trading
is being completely shattered by an open-source project.

A project named QuantDinger recently appeared on GitHub,
garnering over 6,000 Stars in just a few days.

It is not merely a standard set of trading tools,
but an AI trader capable of self-evolution.

Whether it involves domestic or international stocks and futures,
or cryptocurrencies and forex,
its trading radar scans the globe for opportunities 24 hours a day,
pushing real-time signals directly to your mobile phone.

It supports live market data.
What makes it truly impressive is not just its automated execution,
but its ability to operate autonomously—much like a human trader:

It automatically generates strategy code,
performs automated backtesting,
and—drawing upon historical performance, risk metrics, and other data—
leverages large language models to continuously fine-tune its parameters,
thereby making its trading strategies even more robust.

Even more surprisingly,
it supports one-click local private deployment via Docker;
even those with no coding experience can get started with ease—
making it truly user-friendly.
https://t.co/qKyRSipz75

[QuantDinger @QuantDinger_EN]

@quantscience_ You can try QuantDinger

[QuantDinger @QuantDinger_EN]

@gusik4ever Thanks for your update

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance this week:

1. TauricResearch / TradingAgents (+3,500 ⭐)

A multi-agent LLM framework for financial trading: multiple AI agents (analyst, risk manager, trader) collaboratively make investment decisions based on news and market data.

2. brokermr810 / QuantDinger (+989 ⭐)

An AI-powered quantitative trading platform for crypto, stocks, and forex: backtesting, live trading, multi-agent market research, with support for Binance, Alpaca, and MT5.

3. himself65 / finance-skills (+510 ⭐)

A collection of AI skills for financial analysis and trading: ready-to-use tools for agents (Claude Code, MCP) as technical analysis, stock valuation, financial report parsing.

4. OpenBB-finance / OpenBB (+200 ⭐)

An open-source financial analysis platform with AI agent support: data on stocks, crypto, derivatives, and macro indicators; Python SDK + terminal; a Bloomberg alternative for developers.

5. ericosiu / ai-marketing-skills (+107 ⭐)

Open-source AI skills for marketing and finance automation: growth experiments, sales pipeline, SEO, outbound, and financial ops. All powered by AI agents.

6. AI4Finance-Foundation / FinGPT (20,300 ⭐)

Open-source financial large language models: fine-tuned LLMs on financial data, sentiment analysis, robo-advisor, technical analysis; models published on HuggingFace.

7. microsoft / qlib (43,400 ⭐)

Microsoft's AI-oriented quantitative investment platform: end-to-end pipeline from idea to strategy execution; machine learning for quant research, backtesting, and live trading.

8. AI4Finance-Foundation / FinRL (15,200 ⭐)

A reinforcement learning framework for finance: automated trading strategies, portfolio management, training agents on real market data.

9. KylinMountain / TradingAgents-AShare (+80 ⭐)

A multi-agent investment research system for the Chinese A-Share stock market: 15 AI agents simulating an investment bank workflow — debates, visualization, integration with Claude Code.

10. Lumiwealth / lumibot (1,592 ⭐)

Backtestable AI trading agents: support for stocks, options, crypto, futures, and forex; integrations with Interactive Brokers and Alpaca; LLM agents for SEC filing analysis and macro data.

bookmark this and start today.

[QuantDinger @QuantDinger_EN]

@Bitget_zh @wublockchain12 You can try QuantDinger

[QuantDinger @QuantDinger_EN]

Who says AI can't make good strategies?

[QuantDinger @QuantDinger_EN]

@RodmanAi You can try QuantDinger

[QuantDinger @QuantDinger_EN]

🔥 The 2026 AI Quant Gold Rush is here — but how do you actually get in?

You don’t need to build from zero.

Just clone a ready-made QuantDinger, add your logo, and launch your own quantitative trading platform — like 3commons or FMZ — in no time.

We provide the full stack:

✅ Strategy engine

✅ Risk management

✅ Live deployment infrastructure

You bring:

✅ Your brand

✅ Your users

✅ Your growth focus

Stop watching from the sidelines.

If you:

• Want to break into quant but lack tech resources

• Already serve traders but need a robust platform

• Want to test the business fast, with low upfront cost

This is your shortcut.

👇 Want to see how easy it is to launch your own quant SaaS?

DM me for real cases and onboarding.

Ride the wave — from day one.
https://t.co/qKyRSipz75

[QuantDinger @QuantDinger_EN]

@aiedge_ Try QuantDinger

[QuantDinger @QuantDinger_EN]

@quantbeckman Nice

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance this week:

1. TradingAgents (+3,822 ★)

multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and provider integrations into a single trading stack.

2. AI-Trader (+2,434 ★)

fully automated agent-native trading system. built around autonomous decision-making, price fetching, execution, and monitoring workflows. focused on end-to-end AI-driven trading infrastructure.

3. scientific-agent-skills (+2,286 ★)

plug-and-play agent skills for finance, research, science, engineering, and writing. integrates with multiple agent frameworks and supports web research, bioinformatics, cheminformatics, and analysis pipelines.

4. daily_stock_analysis (+1,272 ★)

LLM-powered stock analysis platform covering US, Hong Kong, and Chinese equities. combines market data, real-time news, AI dashboards, automated reporting, and multi-channel notifications with near-zero operating cost.

5. QuantDinger (+1,242 ★)

AI quantitative trading platform for crypto, stocks, and forex. includes live trading, strategy backtesting, market analytics, and broker integrations. built for traders experimenting with AI-assisted quant workflows.

6. Vibe-Trading (+1,148 ★)

personal AI trading agent focused on algorithmic trading and backtesting. combines lightweight automation with agent-style portfolio management and strategy experimentation.

7. FinceptTerminal (+878 ★)

modern open-source finance terminal inspired by Bloomberg-style workflows. provides market analytics, investment research, trading tools, and AI-powered financial infrastructure in one interface.

8. TradingAgents-CN (+739 ★)

Chinese-enhanced version of TradingAgents. adapts the multi-agent LLM trading framework for Chinese financial markets, datasets, and workflows. rapidly growing among Chinese quant and AI communities.

9. last30days-skill (+694 ★)

AI agent skill for researching trends across Reddit, X, YouTube, Hacker News, Polymarket, and the broader web. designed for signal discovery, narrative tracking, and internet-wide monitoring.

10. qlib (+680 ★)

Microsoft’s AI-oriented quant investment platform. covers the entire quant pipeline from data collection to alpha generation, portfolio construction, and execution. still one of the strongest open-source quant ecosystems available.

bookmark this and start today.

[QuantDinger @QuantDinger_EN]

@quantscience_ great

[QuantDinger @QuantDinger_EN]

@AlphaCartell We are striving to catch up and currently have 5.4 Kstar

[QuantDinger @QuantDinger_EN]

Many friends have asked about the origin of the name quantdinger. Today, we will provide an official explanation
QuantDinger is a small tribute to Erwin Schrödinger — the "-dinger" in our name is the tail of "Schrödinger". The cat in the box was a thought experiment; every un-fired strategy is its own little version of it — simultaneously winning and losing until the order actually fills. Backtests open the box. Live trading collapses the wavefunction. Trade carefully.

[QuantDinger @QuantDinger_EN]

Guys! QuantDinger’s SaaS Indicator Marketplace is blowing up!

Lots of top traders have uploaded their secret strategies — free ones and those redeemable with points. Backtest and live trading data are fully transparent; you can start using them right away. If you think a strategy isn’t mature enough, you can also optimize and adjust it directly.

If you have a proven trading strategy, upload it to earn points, and points can be cashed out directly!

Quant pros with killer stratagems, don’t keep them to yourselves. Share them out — help your fellow traders and get real cash rewards. Doesn’t that sound great? 😉