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 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!
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 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.
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.
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
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.
🔥 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
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.
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.
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? 😉