DAAVILE FX ALGO TRADING
The next algo generation community built open source & FREE!
What it does
Building a 100% free and open source algo trading community after years of learning, testing and profiting from markets with verified results and broker statements. My goal is to help build the next generation of retail algo traders! Advanced algorithmic trading systems, MT4/MT5 Expert Advisors, and high-frequency trading solutions built with Rust and C++. With a full stack of aplications for: -Trading -Charting -Backtesting - Machine learning -Copy trading tools and more
Does a similar job
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Hey everyone! I am an enthusiast trader and a year ago I had this idea to create a free-to-use website that would feature all the most essential tools that traders would use on a daily basis. So I learned to code and build it—I did everything including design, texts, code, and SEO—which took me 12 months to launch and a year and a half to make it look like it currently does. I was into marketing and design before, but I didn't know barely anything about coding. The website is built using Next.js, Tailwind CSS, and Typescript with Framer Motion animations and lots of APIs. I’m actively…


- ATAlgorithmic trading for everyone2022 · justfor.fund · ▲122
Hi there. I built a company that makes algorithmic trading strategies for its users to invest with. --> https://justfor.fund Advice and feedback are very much welcomed! Disclaimer: New born business with its first beta version (12 users) currently live. Details: - I'm the sole developer and founder - I applied to YC S22 batch on the last day - Currently facing a big KYC compliance wall (code and protocols) - My priority right now is obtaining funds to cover minimal operational cost's. Need to pay for broker partnership costs too. - I have essentially no funds to cover cost's right…

- PAPyBroker – Algotrading in Python with Machine Learning2023 · github.com · ▲70
Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to…
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