Volrix retweeted
We're building an Open Library of Trading Strategies.
One place to explore trading ideas from YouTube, Reddit, X, blogs, research papers and more.
Every strategy includes its original source, backtest results updated daily, and the exact code and logic so you can fully reproduce and verify the results yourself.
We've already added 70+ strategies, and we're just getting started.
Have a strategy or come across an interesting idea anywhere on the internet? Drop the logic or source link in the replies and we'll add it to the library with credits.
Link below 👇
No investment advice. Just an open space to discover, explore and research trading ideas.
We're building a single place to explore trading ideas, complete with backtests, exact strategy logic and reproducible code.
One thing we learned from talking to our users is that they spend a lot of time just finding new ideas to research, especially strategies that are less correlated with their existing portfolios.
This is our attempt to make that process easier by bringing trading strategies from across the internet into one open library.
We're building an Open Library of Trading Strategies.
One place to explore trading ideas from YouTube, Reddit, X, blogs, research papers and more.
Every strategy includes its original source, backtest results updated daily, and the exact code and logic so you can fully reproduce and verify the results yourself.
We've already added 70+ strategies, and we're just getting started.
Have a strategy or come across an interesting idea anywhere on the internet? Drop the logic or source link in the replies and we'll add it to the library with credits.
Link below 👇
No investment advice. Just an open space to discover, explore and research trading ideas.
Been a crazy month
Introducing Volrix Chat.
Your AI research workspace for financial markets, now open to everyone.
Bring a trading idea or a market observation. Research it, backtest it and explore the results.
Here's what all you can do with @VolrixAI
Let your AI agent research trading strategies while you sleep.
Find ideas, backtest with costs & slippage, check margin, and save a shortlist for review with Volrix MCP.
Read the X Article below. Blog link in the reply ↓
Put your always-on AI agent to work on trading research.
Connect Volrix MCP, backtest with costs and slippage, verify margin, and save a shortlist for morning review.
A practical guide + a copyable research brief.
We were part of @thefoundingco_'s first cohort, and it was quite an experience!
If you're building something, I'd definitely recommend applying for the next one.
Excited to see what comes out of Assembly!
One founder can do a lot in 70 days. Imagine a house full of them.
Introducing Assembly by The Founding Co.
A fully funded, live-in founder residency in Hyderabad.
Our first program brought 12 founders together. Since then, they've raised funding, grown their companies, and started making a dent in their industries.
Now we're opening the doors again. This time, for you and your co-founder to come and build something that lasts!
Apply Now. thefounding.co/apply
Yeah, I'm awesome 💛
With @VolrixAI, you can actually talk to your research and backtests.
We apply neurosymbolic principles by combining AI reasoning with code execution, giving you the flexibility to explore ideas, test hypotheses and ask deeper questions with data.
Give your AI agent capabilities of a Quantitative research analyst!
volrix.ai/
Once you open the backtest link, you can directly copy the implementation into your own agent powered with Volrix MCP, or just open it up in the chat if you're a MAX plan user with us. ✌️
Backtest link in the comments
@ScholarTrading , I backtested the Weekly HNI CE Ratio setup from your video on Volrix. Got 16.07% returns with 1.1% max drawdown. Would love your take on this!
app.volrix.ai/strategies/nif…
You can literally backtest most trading strategies you find on YouTube with @VolrixAI.
Just share the YouTube link, and Volrix can interpret the strategy and backtest it, provided the rules are clearly explained and within our engine's capabilities.
You can also do this through our MCP using your own AI agents.
