QuantScience releases Python trading tutorial

QuantScience’s Sunday push around Python trading tutorials landed into a broader stream of retail quant content on May 24, with social posts pointing readers to backtesting, live strategy examples and deployment workflows. Quant Science’s website says it offers a free five-day algorithmic trading course and teaches users to “develop profitable trading strategies, build a systematic trading process, and trade your ideas with Python.” The same cluster of posts also referenced a Bitcoin signal-system verification test from the X account 0x_ATO_OFFICIAL and a Planemo Trading airdrop thread from cryptonav00. Those two social posts were described in the source briefing provided for this story, but their underlying X pages were not retrievable through search. The broader factual frame around them is easier to verify: Quant Science maintains public Python repositories for backtesting, and Planemo Trading markets itself as an algorithmic platform for decentralized perpetual futures. (quantscience.io) ### What, exactly, did QuantScience put in front of users on Sunday? Quant Science’s site says the offer is a “Free 5-Day Algo Trading Course” tied to a wider program on starting algorithmic trading with Python in under 60 days. The site says users are taught a systematic framework that takes strategies “from idea to execution,” and it promotes immediate access to three core strategies on day one of its cohort. The company’s public pitch is built around hands-on implementation rather than market commentary. (github.com) Quant Science says users can start trading on day one, backtest strategies and use what it calls a “Hedge Fund in a Box” application for tasks including portfolio rebalancing, historical intraday data downloads and automated risk alerts. ### Which Python workflow is Quant Science emphasizing? Quant Science says its training covers two backtesting approaches: vector-based and event-based frameworks. (quantscience.io) The company also maintains public GitHub repositories called `vectorbt_backtesting` and `zipline_backtesting`, alongside a “Sunday Quant Scientist” repository described as a free newsletter for quantitative and algorithmic trading, portfolio analysis and investing. That combination matters because it ties the marketing claim to visible code assets. (quantscience.io) The GitHub organization page lists the repositories publicly and links them to the same Quant Science brand and the @quantscience_ account. ### Where does the Bitcoin signal-test post fit in? The May 24 source briefing said 0x_ATO_OFFICIAL posted a “chain verification test” for an algorithmic signal system applied to Bitcoin, including reproducible Python code and backtest results. (quantscience.io) Because the X post itself could not be independently surfaced in search, the safest verified point is narrower: the post fits the day’s documented social pattern of retail-facing quant content centered on reproducibility, backtests and Python tooling. (github.com) The briefing attributes that characterization directly to the post. That makes the item part of the same retail quant lane as Quant Science’s tutorial push, even though the underlying BTC test details could not be independently expanded beyond the briefing without the original X page. ### What is Planemo Trading saying about its bot and airdrop? Planemo Trading is described by airdrop trackers as an algorithmic trading platform for perpetual futures that automates strategies on Hyperliquid-related infrastructure. Airdrops.io says the project offers “institutional-grade” automated strategies for decentralized perpetual futures, while Airdrops.io says the platform is in alpha and runs a points program tied to a token generation event in 2026. Airdrops.io also lists five available algorithms, including orderbook-imbalance, momentum and copytrading products, and says points accumulate based on trading volume and participation. That aligns with the source briefing’s description of cryptonav00 highlighting an airdrop strategy that used an algorithmic perpetuals bot and pointed to a 2026 TGE. ### What can readers verify next? Quant Science’s next verifiable touchpoints are its free five-day course page and public GitHub repositories, both live as of May 24. (airdrop.io) Planemo Trading’s next concrete milestone is its stated 2026 token generation event, with current participation details listed on airdrop trackers and strategy access routed through the platform’s wallet-based onboarding flow. (quantscience.io) (airdrops.io)