QuantConnect

Can changes in filing language predict returns? The team @ Triton Quantitative Trading tested a strategy that selects liquid US stocks with the most stable filing language. The result was a modest improvement in risk-adjusted returns for those companies that make _fewer_ changes to their filings. Check out the research & source code here: bit.ly/4gwEbGd

New Friday Research Drop!🧪🔬🎉 Community member, Zhaoren Deng, explored a classic options concept applied dynamically to the Magnificent 7 - conversion arbitrage. Conversion combines a long stock position, a long put, and a short call at the same strike and expiry. In theory, the package behaves like a fixed-payoff instrument, with returns driven by deviations from put-call parity. Full post - quantconnect.com/research/20937…

New Friday research drop from the QuantConnect team!🎉🧪🔬 This week, we explored the MAX Effect: how a simple empirical observation can be translated into a practical, systematic strategy. Check it out: lnkd.in/eQwPxQuW Building on earlier work, this QuantConnect study explores using VIX-based leverage scaling to adjust market exposure across volatility regimes. The research shows that stocks with extreme positive daily returns can behave differently in subsequent periods, creating a measurable anomaly in expected returns. We extend that intuition into a dynamic portfolio approach: instead of treating leverage as fixed, exposure adapts to changing market stress. The result is a clean example of how volatility signals can support risk management and portfolio construction. This strategy was also almost entirely implemented by our new agentic Research Pipeline. We fed the research paper into the AI, which expanded the idea, backtested it, tested parameter sensitivity, and helped draft the first version of the research post ✨

@WebullGlobal joins QuantConnect’s 20+ brokerage integrations 🚀 Trade Equities, Equity Options, and Index Options live through Webull using LEAN, managed live-trading nodes, and @QuantConnect's consistent research-to-production workflow. Get Started: qnt.co/4opYsPO

Credit to the Triton Quantitative Trading team at @UCSanDiego for their latest QuantConnect research: a volatility-targeted QQQ–TLT rotation using a multi-scale CNN-LSTM model to forecast turbulence and adjust exposure. quantconnect.com/research/20371…

Systematic research is becoming fully agentic. Today we launched QuantConnect Assistants, an @openclaw like framework for quant. Specialized AI agents can research ideas, run notebooks, analyze backtests, read logs, and coordinate through a visible Research Pipeline: Ideas → Research → Validation → Backtesting → Live Monitoring You can build your own agents, and automate your specific research processes. Read more: quantconnect.com/announcements/…

The team at @QuantConnect recently created an integration that brings Databento's real-time and historical market data directly into LEAN, their open-source algorithmic trading engine. For the hundreds of thousands of developers already building with LEAN, adding a Databento API key provides our normalized market data across research, backtesting, and live trading - all within their existing setup. ⬇️ To get started, check out the guide below

Final count down to the Quaint Quant Conference in Dallas this Friday! Our founder @JaredBroad is speaking on Applied AI for Quant Finance ✨ - come say hello! quaintquantconference.com/agenda/

@Netflix just raised prices again. Second time in 14 months. 📺 Netflix Standard: $15.49 → $19.99 (+29%) 🖥️ QuantConnect Researcher Pack: $60 → $60 (+0%) 📈 US Inflation: +16.3% 💾 Server RAM: +172% We run colocated backtesting servers and host 400TB+ of financial data. Our costs exploded. We didn't raise prices once in 4+ years. In real terms, our users pay ~16% less today than in January 2022.

Classical ML + Deep Learning CNNs + Amazon Chronos Foundation Models + @QuantConnect = Can AI actually generate alpha? 📈🤖 Huge thanks to the 50+ of you who packed the room at the PyHou Meetup! Your energy was unreal. 🙏 As promised, I’ve refined the entire presentation into a massive open-source masterclass. Here is the complete teardown 👇 (1/4)

Predicting bubbles with the LPPLS; new research out from the talented team at @UCSanDiego Triton Quantitative Trading club. quantconnect.com/research/20262…

Thanks @donfogliani, we prefer being underrated 😁💪. Limits will keep improving but we'd estimate about 1,000 strategy-lines today which should cover 99% of users on QC as each line is very powerful. e.g. Simply "self.add_universe(self._fundamental_function)" does 50K-lines of work under the hood. We have a roadmap item for multi-strats but its not ready yet. We're scaling up internal agent tooling now to build faster and I hope we'll be able to get to more of these long tail, hard features faster.

Mia V2 is perhaps the most underrated AI finance tool in the market. Question from a user perspective: what's the practical ceiling on strategy complexity? At what point does the agentic loop break — how many backtesting iterations can Mia run before losing coherence on the original design intent? And is there a roadmap for multi-strategy portfolio construction (e.g., 5 concurrent strategies with cross-strategy risk management)?

Introducing Mia V2 — Your AI Quant Developer 💡 Generates strategy ideas 🧠 Writes & debugs code 📊 Runs backtests & suggests improvements

@rebbabtikna @cursor_ai @AnthropicAI @GeminiApp @Apple @AMDRadeon @jaredbroad Nice! Are you using the LEAN CLI or our MCP?

Late night coding session 🖥️📚 Running the full cybernetic system: @cursor_ai CLI + @QuantConnect + @AnthropicAI Claude 4.5 Opus + @GeminiApp 3 PRO + @Apple 2020 13" MacBook Pro w/ an eGPU (@AMDRadeon RX 6900 XT) + @Apple 2024 Mac Mini. ⚡️ #DeveloperSetup #QuantTrading

🚀 Thrilled to see @QuantInsti feature my book "Hands-On AI Trading" on their blog! 📚 20+ deployable AI strategies spanning ML, deep learning, NLP & RL – all built on @QuantConnect's platform 💻 Strategy-first, not model-first ✅ Real constraints, not toy examples ✅ 📖 Book: amzn.to/4fI0hkU 💻 Code: github.com/QuantConnect/H… 📝 Blog: blog.quantinsti.com/ai-quantitativ… #QuantTrading #AITrading #Python #AWS 🤖📈

@pkoerber93 Nice video @pkoerber93! Great demonstration of what you can do on QC 💪💪

Building a ROBO-ETF-like algorithm on @QuantConnect and why I think Robo & Automation is a compelling long-term theme. youtube.com/watch?v=yrHtPx…

Cursor CLI + @QuantConnect MCP + Claude 4.5 Opus + Google Gemini Search + 2024 Mac Mini + .cursorrules configuration = What a time to be alive. ⚡️ I configured Cursor's AI assistant to fact-check my trading strategies against official docs—automatically. Here's the workflow 👇 (1/2)

Defi crypto trading with @dYdX exchange is now live! Easily load historical data in notebooks for research, do accurate point in time backtesting, and deploy your strategies to live-meme-trading in minutes 💪🙈🚀 Time is your most valuable asset, focus on your alpha, not infrastructure. quantconnect.com/announcements/…

Built for quants. Powered by dYdX. dYdX has integrated with @QuantConnect to bring seamless research-to-execution workflows to onchain perps. Find out more 👇 dydx.xyz/blog/dydx-x-qu…

@scorelinesports Thanks! quantconnect.printify.me