The open-source, AI-native quant trading OS. Research markets, build & backtest Python strategies, deploy live across stocks and crypto. @Dingerquant
Open Source · Worldwide
Joined July 2024
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QuantDinger retweeted
Jev builds the BEST trading agents
and someone JUST open sourced QuantDinger, a full AI Trading OS with Jev
your strategy no longer fires blind, every entry gets reviewed by Jev first and bad trades die before they cost you
here is how you set it up:
1. run one install command, it asks for your admin login, generates every secret, and boots the whole stack in docker
2. start in paper mode, backtest your Python strategy on server side data before a single real dollar moves
3. drop your Jev API key into System Settings, AI / LLM, and flip on AI Decision Filter
4. now every entry gets scored across evidence quality, signal consistency, market regime, account risk, and execution quality
5. Jev returns a typed decision with full probabilities and confidence, not a paragraph of text you have to parse
6. rejected entries NEVER reach the exchange, and every decision lands in an audit timeline with the reason and latency
the whole point is this repo hands you the HARDEST part for FREE
> the risk gate between your strategy and your money
Bookmark it, then read my step by step guide below on making money from your own agent team for free
QuantDinger retweeted
Everyone is asking:
“Can Jev trade?”
We asked a different question:
“Can Jev stop you from making a bad trade?”
There are two ways AI is entering trading:
① AI as the Trader
Feed it market data, technical rules and context.
AI decides BUY / SELL / HOLD and sends the trade.
② AI as the Gatekeeper**
Your quantitative strategy still generates the signal.
But before the order reaches the market, AI gets one final decision:
ALLOW or REJECT?
QuantDinger chose the second path.
Strategy → Signal → Jev Decision Gate → Execution
Why?
Because sometimes the best trade
is the one you never opened.
AI doesn't have to replace quantitative trading.
It can become the layer between *a signal and a mistake.*
We integrated Jev into QuantDinger as a pre-trade decision layer from the start.
Open source. Auditable. Built for real trading workflows.
**Don't let AI trade more.
Let AI help you trade less — but better.**
QuantDinger retweeted
Open Byte open-sourced a full AI trading OS and made it free to self-host.
AI research → strategy → backtest → execution, all in one stack you fully control.
The kind of infrastructure that used to require stitching together five different tools.
QuantDinger retweeted
Quant trading has a gate. This open-source project just blew it open.
QuantDinger is a self-hosted AI quant OS that packs charting, LLM research, strategy engines, institutional-grade backtesting, and live execution into a single Docker stack.
One command to install. Your keys. Your data. No monthly SaaS bill.
The full stack in one container:
• Charting with indicator IDE
• Multi-LLM research (OpenRouter, any provider)
• Python-native strategies (vectorized + event-driven)
• Institutional-grade backtesting
• Multi-venue live execution — crypto (CCXT), stocks (IBKR/Alpaca), forex (MT5)
• MCP server built in — Cursor, Claude Code, or Codex can read markets, backtest, and trade via API
The wild part: it has an Agent Gateway so your coding agent can trade for you. QuantDinger + Claude Code = an AI that codes your strategies AND executes them.
Docker one-liner. Postgres 16 + Redis 7. Runs on any Linux box with Docker. amd64 or arm64.
The barrier to quant trading just got a lot lower. 🚀
QuantDinger retweeted
The OpenFly Experiment - A Tiny FruitFly Neural Brain that trade intraday index straddles.
github.com/marketcalls/openf…
🤖 Made with AI
QuantDinger retweeted
SPCX has confirmed bullish momentum, but the current price is already above estimated resistance and the supplied take-profit level, leaving an unattractive near-term reward-to-risk profile. Strong reported revenue growth and liquidity are offset by persistent operating losses, negative TTM free cash flow, elevated valuation metrics, and mixed positioning evidence.
Detailed Analysis Report👇
ai.quantdinger.com/#/report/…
QuantDinger retweeted
🚀 Institutional-grade AI Quant that retail traders can actually use!
Just found this powerful GitHub project: QuantDinger
It claims to be a self-hosted AI quantitative trading platform. You can generate strategies, backtest, and even go live using Cursor / Claude Code / Codex!
I built a BTC Long-Short Dual strategy in the IDE based on my requirements (3x leverage futures, $10K starting capital):Backtest Results:
1 Year: +57.3% return, Max Drawdown -13.65%, Win Rate 84.62%
2 Years: +140.55% return, Max Drawdown -17.56%, Win Rate 83.33%
3 Years: +91.18% return, Max Drawdown -31.58%, Win Rate 77.08%
Honestly the numbers look pretty solid. What do you guys think?
Can this actually run live? Where are the risks?
Drop your thoughts in the comments! 👇GitHub: github.com/brokermr810/Quant… #AIQuant #BTC #CryptoTrading #QuantDing
QuantDinger retweeted
Brothers!
I've completely laid out the open-source powerhouses for quant trading for you!!! From the all-in-one AI butler QuantDinger to the crypto king Freqtrade, all 8 high-star GitHub tools are absolute gems! Self-deploy, all data local, AI writes your strategies, backtests, live trading, monitoring—the full closed loop!
1. QuantDinger —— Starter Powerhouse AI market research + natural language straight to Python strategies + backtesting + live execution! Supports Binance/OKX spot futures options, US stocks IBKR, forex MT5, even Polymarket! Install in one go: `git clone` + `docker-compose up -d --build`, frontend backend database all automated! v3.0.2 just updated, 1.5k Stars, local data fully in your control.
2. TradeSight —— AI Strategy Auto-Evolution Lab Runs its own overnight tournaments, 15+ indicator backtests, Alpaca paper trading, fully local! macOS installs with one brew command.
3. OpenAlgo —— One-Click Hub for Indian Brokers 30+ brokers unified API, Telegram alerts + enterprise-grade security, switching like changing clothes.
4. AI-Trader —— Native AI Agent Trader Claude/Cursor direct integration, Agents debate and optimize each other, one-click copy trading, 13.6k Stars!
5. vnpy —— Chinese Quant Big Brother 39.7k Stars, full coverage of A-shares futures options, community QQ groups answer in seconds.
6. StockSharp —— Cross-Market Master Key Stocks forex crypto options visual editing + backtesting live trading.
7. TradeMaster —— Reinforcement Learning Specialist 13+ RL algorithms, Docker one-click, AI advanced players' favorite.
8. Freqtrade —— Crypto Bot Undisputed King 49.1k Stars, FreqAI machine learning + hyperparam optimization, Docker rock-solid, endless community strategies! Bonus the0: Multi-bot orchestration pro tool.
All 8 are open-source and free, self-hosted privacy maxed out! Newbies blast off with QuantDinger's all-in-one, pros go hard with Freqtrade/vnpy!
Stop staring at charts manually—let AI work 24/7 for you! Hurry up and clone these on GitHub yourself to try, don't wait till others are live trading while you're still watching from the sidelines!
QuantDinger retweeted
推介一款开源自动化交易系统QuantDinger
QuantDinger 是由 Open Byte Inc. 开发的一款开源 AI 自动化交易系统（AI Trading OS），专为独立交易者、Python 策略开发者和小型团队设计。它的核心理念是“本地优先、可自托管”，让用户完全掌控行情数据、策略代码、交易凭据和部署环境。
主要能力
1、多 AI 提供商支持：可接入 OpenRouter、OpenAI 兼容接口、Google、DeepSeek、Grok、MiniMax 等，用于市场分析与策略灵感生成。
2、Python 策略开发：提供 Strategy API V2，支持自定义指标、仓位管理、风控逻辑；可进行服务端回测与实验工作流。
3、多市场执行：支持加密货币交易所（Binance、OKX、Bitget、Bybit、Gate、HTX 等）以及传统券商（IBKR、Alpaca）。
4、多端接入：Web 桌面端、移动 H5、Human API、Agent Gateway 和 MCP（Model Context Protocol），方便与 Cursor、Claude Code 等 AI 工具集成。
5、生产级架构：基于 Docker Compose，采用 Flask + Gunicorn API、PostgreSQL 状态存储、分离的 Redis（缓存与任务队列）、独立 Trading Worker、Scheduler Worker 和 Celery 任务系统。v5 版本进一步强化了进程职责分离、安全加固（非 root 运行、只读文件系统）和可选的 Prometheus + Grafana 监控。
QuantDinger 把 AI 研究能力与专业量化交易基础设施结合，让个人或小团队也能以企业级可靠性运行自己的交易系统，真正实现“想法到代码、代码到实盘的闭环。
aitroys.com/resources/ai-ope…
QuantDinger retweeted
TOP 10 GITHUB REPOS THIS WEEK
1. Yeachan-Heo/oh-my-codex
2. firecrawl/firecrawl
3. nanocoai/nanoclaw
4. nesquena/hermes-webui
5. OpenByteInc/QuantDinger
Bookmark it.
trendingrepo.com/tools/top-1…
QuantDinger retweeted
OPEN-SOURCE JUST KILLED $100,000 WORTH OF SOFTWARE SUBSCRIPTIONS.
And nobody is talking about how insane this actually is.
These 10 repos are free, production-ready, and replacing tools companies charge fortunes for.
Here's what dropped this week:
1. QuantDinger
Self-hosted quant trading desk that keeps your keys, your data, and your edge on your own machine.
Multi-LLM research, Python strategy engine, server-side backtesting, and live execution across 10+ crypto venues plus IBKR and Alpaca in one stack.
Agent tokens are paper-only by default so you can't accidentally nuke your account.
First-class Claude Code and Cursor integration via MCP so your AI agent can read markets, run backtests, and trade with full audit logs.
Bloomberg charges $24,000 a year for a fraction of this.
repo - github.com/brokermr810/Quant…
2. TradingAgents
A full AI trading firm running on your laptop.
4 specialist agents running in parallel: fundamental, sentiment, news, and technical analyst.
Then a risk manager and an executor agent reviewing everything before any order goes out.
The multi-agent debate architecture means no single model makes unchecked decisions.
UCLA and MIT built this and open-sourced the whole thing.
repo - github.com/TauricResearch/Tr…
3. FinceptTerminal
A real Bloomberg alternative that takes the no-browser stance seriously.
Built in C++20 and Qt6 with no Electron, no JavaScript runtime, nothing slow in the critical path.
37 AI agents reasoning in the style of Buffett, Munger, Lynch, and Graham.
100+ data connectors for market data, economic indicators, and alternative data.
Bloomberg charges $24,000 a year.
This costs nothing.
repo - github.com/Fincept-Corporati…
4. Nango
The integrations layer that companies pay $50k a year to rent.
700 ready APIs: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira, and more.
Managed OAuth built in, your AI agent generates integration code from a single prompt.
Used in production by Replit, Ramp, and Mercor right now.
repo - github.com/NangoHQ/nango
5. LibreChat
ChatGPT, Claude, Gemini, DeepSeek, and 20 more models in one self-hosted interface.
Native MCP support, your own keys, your own infrastructure, your own data.
OpenAI charges $20 a month just for the interface.
Here you bring your own keys and pay nothing extra.
repo - github.com/danny-avila/Libre…
6. addyosmani/agent-skills
The Google engineer who taught web performance to the entire industry for 15 years just published his Claude Code skill pack.
23 real production-tested workflows covering API design, code review, debugging, CI/CD, and frontend.
One command install.
If you use Claude Code this is the first thing you should add.
repo - github.com/addyosmani/agent-…
7. Flowsint
You enter a domain and the tool maps every IP, subdomain, email, crypto wallet, and connected social profile into a visual graph.
Everything stored locally with no external calls leaking what you are investigating.
Built for OSINT, due diligence, and competitive research.
repo - github.com/reconurge/flowsin…
8. Agentic Inbox
Cloudflare just open-sourced an AI email client that reads your inbox and drafts responses.
Runs 100% on Cloudflare Workers so your email never touches an external server.
No subscription, no data leaving your account, no SaaS middleman.
repo - github.com/cloudflare/agenti…
9. VoxCPM2
Clone any voice with 3 seconds of audio in 30 languages at studio-quality 48kHz.
Design voices from a text description like "deep male radio announcer."
No paid API, no audio leaving your machine.
ElevenLabs charges $22 a month for less than this.
repo - github.com/OpenBMB/VoxCPM
10. MoneyPrinterTurbo
You input a keyword and get back a script, images, subtitles, music, and a finished video ready to post.
Horizontal or vertical format, no manual editing required.
What content creators don't want you to know they are already using.
repo - github.com/harry0703/MoneyPr…
These are not toys or side projects.
Every single one replaces a paid product that someone is still charging you for right now.
Pick one, install it and connect it to your workflow today.
Thank me later.
QuantDinger retweeted
Automates quantitative trading research and live execution
github.com/brokermr810/Quant…
QuantDinger retweeted
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.
github.com/TauricResearch/Tr…
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.
github.com/harry0703/MoneyPr…
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.
github.com/OpenBB-finance/Op…
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.
github.com/NoFxAiOS/nofx
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.
github.com/HKUDS/Vibe-Tradin…
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.
github.com/brokermr810/Quant…
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.
github.com/AI4Finance-Founda…
8. ValueCell (+~250 ★)
community-driven multi-agent platform for financial applications. covers investment research, stock and crypto monitoring, and agentic finance workflows.
github.com/ValueCell-ai/valu…
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.
github.com/KylinMountain/Tra…
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.
github.com/stefanoamorelli/s…
bookmark this and start today.
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 retweeted
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 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 retweeted
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.
the fastest growing GitHub repos in finance this week:
1. dash (+10,977 ★)
data apps and dashboards for Python. no JavaScript required. the go-to framework for building interactive analytics UIs. used everywhere from internal tools to public-facing finance dashboards.
2. stock (+10,872 ★)
Chinese open-source stock toolkit. fetches market data, calculates indicators, chip distribution, pattern recognition, strategy backtesting, and automated trading. supports both desktop and mobile.
3. freqtrade (+9,994 ★)
free open-source crypto trading bot. supports Binance, Bybit, and 20+ exchanges. strategy backtesting, hyperopt parameter tuning, live and dry-run trading. one of the most mature algo trading projects out there.
4. qlib (+9,988 ★)
Microsoft's AI-oriented quant investment platform. end-to-end: data - alpha - portfolio - execution. the most serious open-source quant infrastructure out there.
5. yfinance (+9,834 ★)
the de facto Python library for pulling market data from Yahoo Finance. prices, dividends, options chains, financials. used in virtually every Python finance tutorial and prototype.
6. scientific-agent-skills (+9,738 ★)
ready-to-use agent skills for research, science, engineering, analysis, and finance. plug into any agent framework. covers bioinformatics, cheminformatics, and now Exa search.
7. abu (+9,595 ★)
Chinese open-source quant trading system for stocks, options, futures, and Bitcoin. built on Python with machine learning support. one of the older and more comprehensive Chinese quant frameworks.
8. lago (+9,585 ★)
open-source metering and usage-based billing API. consumption tracking, subscription management, and invoicing. built on ClickHouse. the open alternative to Stripe Billing and Chargebee.
9. akshare (+9,424 ★)
elegant Python financial data library. covers A-shares, bonds, futures, crypto, and macro data. built for researchers and quants working with Chinese and global markets.
10. developer-portfolios (+9,282 ★)
curated list of developer portfolio sites for inspiration.
QuantDinger retweeted
🚀 AI-Powered Quant Trading Just Got Insanely Simple: Introducing QuantDinger
Crypto trader @BTCqzy1 just lit up X with a game-changing thread about QuantDinger — the ultimate AI quant tool that turns your wildest trading ideas into real, profitable strategies in seconds.
Here’s the magic:
Just describe your strategy in plain English — no coding, no PhD required.
The AI instantly generates clean Python code, runs full backtests, creates stunning visualizations, and even executes live automated trades across crypto, stocks, and forex markets.
What makes it next-level?
- Multi-agent AI collaboration for smarter strategy design
- Runs 100% locally via Docker → total privacy, zero data leaks
- Built-in analysis of prediction markets like Polymarket
- Spots probability divergences and hands you high-edge trade suggestions
Posted on April 29, 2026, the thread has already exploded past 80K views with rave reviews from crypto and AI traders. Everyone’s saying the same thing:
“This finally lowers the quant barrier to almost zero.”
The creator keeps it real — strong DYOR reminder + full open-source GitHub link included for complete transparency.
Ready to trade smarter, not harder?
This might just be the tool you’ve been waiting for.
🔗 Check the original thread: teapawt.net/BTCqzy1/status/2049334…
github.com/HKUDS/Vibe-Tradin…
量化交易的门槛，这次被 QuantDinger 彻底拆掉了。
你不再需要精通 Python、不用手动拉数据、不用自己搭回测框架，更不用担心代码调试。
只需要用大白话说一句策略想法，AI 就帮你完成剩下所有事。
QuantDinger 核心亮点：
· 支持加密货币、美股、外汇 全部打通
· AI 多智能体协作（策略师 + 风控 + 回测专家内部辩论）
· 自然语言生成 Python 策略 + 一键回测 + 可视化 + 自动交易
· Docker 两分钟部署，数据全在本地，隐私拉满
实际操作有多简单？
输入：“帮我用突破策略回测 BTC 过去 30 天”
→ 系统自动调度 AI 团队：拉取数据、生成策略代码、跑完整回测、输出图表和绩效报告。
进阶亮点⭐️：
预测市场分析：支持 Polymarket 等预测市场作为研究工作流。
输入市场链接或关键词，AI 可自动拉取赔率、做概率分歧分析、打机会分、给出 YES/NO/HOLD 建议（目前主要用于辅助研究和决策）。
GitHub：
github.com/brokermr810/Quant…
感兴趣的可以直接跑起来试试，DYOR。
QuantDinger retweeted
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/Quant… #AI #Trading #OpenSource
