Free 'Algo Trading with Python' course
- Jason Strimpel and Matt Dancho’s Quant Science promoted a free Python algorithmic trading roadmap on May 19, 2026, alongside its broader course funnel. - The roadmap page says it includes 150-plus lines of Python code, four bonus trainings, two backtesting frameworks and three core strategies. - Readers can access the free roadmap through Quant Science’s startalgorithmictrading.com landing page and related course pages published by Quant Science.
Quant Science pushed a free “Beginner’s Algorithmic Trading Roadmap” on Tuesday, offering a no-cost entry point into its Python-based trading education stack. The roadmap is presented as a guide for people who can code with Python and want to build trading strategies for markets including equities and futures, according to Quant Science pages reviewed on May 19. The company’s main site and course pages tie the free roadmap to a broader paid training funnel that includes live workshops, backtesting instruction and a waitlist for a longer course. The X post cited in social-media briefings could not be directly rendered in the available browser, but the related Quant Science pages matched the main claims about a free roadmap and Python-driven trading instruction. ### What exactly is being offered for free? The free offer is a landing page called “The Beginner’s Algorithmic Trading Roadmap,” hosted at startalgorithmictrading.com. The page says the roadmap includes “150+ lines of Python code,” “4 bonus trainings,” “2 trading frameworks” and “1 complete roadmap” aimed at helping beginners avoid what it calls five common mistakes. Jason Strimpel and Matt Dancho are named on the page as the writers of the roadmap and the creators of Quant Science. (startalgorithmictrading.com) The page says the material is designed for “People Who Can Code With Python,” and frames the product as a first step into systematic trading rather than a full standalone platform. ### Who is behind Quant Science’s trading material? Jason Strimpel and Matt Dancho are identified by Quant Science as the creators behind the roadmap and related course material. (startalgorithmictrading.com) The roadmap page says their cohort-based course has helped “150+ Python enthusiasts” start algorithmic trading, while another Quant Science page says more than 350 students have gone through its “Algorithmic Trading System” and a separate page cites “425+ traders, quants, and complete beginners” in a newer course series. Those figures appear on different company pages and describe different products or cohorts. Quant Science’s main website presents the company as a training business focused on helping users “start algorithmic trading with Python in under 60 days.” The site also promotes a free five-day course, a newsletter, a paid system and a launch event, showing the free roadmap sits inside a larger education and lead-generation structure. ### What does the roadmap say beginners will learn? The roadmap page says beginners will get three core trading strategies, an “Infinite Trading Idea Generator,” risk and performance management frameworks, and a systematic trading methodology. (startalgorithmictrading.com) It also says the package includes Python code for a volatility-targeting portfolio strategy and bonus training on finance concepts, risk management and performance analysis. (quantscience.io) Quant Science’s main site adds that its broader curriculum covers three named strategies — volatility targeting, momentum factor and a refiner-versus-crack-spread strategy. The same page says students are taught two professional backtesting approaches, described as vector-based and event-based frameworks. ### How much of this is roadmap versus course marketing? Quant Science’s pages combine educational claims with enrollment prompts. (startalgorithmictrading.com) The main site repeatedly asks visitors to join a course waitlist, and a separate registration page advertises a live workshop scheduled for Wednesday, June 3 at 10:00 a.m. EST with 500 seats. The June 3 workshop page says attendees will learn 15 algorithmic trading skills, including use of Python libraries such as Pandas, NumPy and StatsModels, plus backtesting tools including VectorBT and Zipline. (quantscience.io) That page also pitches brokerage connectivity, risk management and what it calls a “Hedge Fund in a Box.” ### Where can readers find the next step? The next published step is Quant Science’s live workshop on Wednesday, June 3, 2026, at 10:00 a.m. (quantscience.io) EST, according to the company’s registration page. The free roadmap remains available through startalgorithmictrading.com, while Quant Science’s main site continues to promote its five-day course, newsletter and course waitlist. (learn.quantscience.io)