Analytics in Stock Markets Zoomcamp

Hi all, fellow analysts! 👋 🚀 12 days to go — Stock Market Analytics Zoomcamp starts August 24! Before we kick off, we’re having a pre-course Q&A session on: 📅 Monday, August 17 🕠 5:30–6:30 PM GMT+1 🎥 The session will be streamed live on the DataTalks.Club YouTube channel: https://www.youtube.com/@DataTalksClub ### 💬 Have a question? You can submit your questions and vote for questions you'd like us to answer during the Q&A: 👉 https://qna.dtcdev.click/r/sma?utm_source=telegram Ask anything about the course, prerequisites, projects, tools, schedule, or anything else you're wondering about. ### 🎟️ Want to join the Q&A? Please register for the event here: 👉 https://luma.com/q2y076k2 And finally, if you haven't registered for the Stock Market Analytics Zoomcamp yet, please do so here: 👉 https://pythoninvest.com/course The course starts August 24! 🚀 See you on Monday! Ivan

🚨 Reminder: We're starting in 2 minutes! 🚀 Join us for PythonInvest's webinar: Building an AI Stock Research Agent. 📺 The webinar will be streamed live on the DataTalks.Club YouTube channel: https://www.youtube.com/watch?v=MdZLf6C5rW8

Hi everyone, 🚀 PythonInvest is back! Webinar: Building an AI Stock Research Agent We're excited to announce a webinar on building an AI Stock Research Agent, taking place on June 15th as a pre-launch event for our upcoming course. AI agents are everywhere, and in this webinar we'll explore how to build tools that extract financial information and evaluate whether they can outperform the deep research capabilities of today's advanced public LLMs. We'll cover: • Collecting and processing data from SEC filings, Yahoo Finance, and 5,000+ news sources • Building a simple research agent from scratch • Comparing its performance with a more advanced multi-tool agent • Creating a practical AI-powered stock research workflow 👉 Register for the webinar: https://luma.com/6zy41yn1 2026 Stock Market Analytics Course Following two successful years and more than 1,300 participants annually, we're pleased to announce that this year's course will begin on August 24th, 2026. 👉 Register for the course: https://pythoninvest.com/course

Hi fellow analysts! 👋 🎉 Certificates are now available! If you recently updated your name in your enrollment profile, it should now be reflected on your certificate. If not, certificates will not be updated again. You can access your certificate here (you need to be logged in): 🔗 https://courses.datatalks.club/sma-zoomcamp-2025/enrollment 🏆 The leaderboard with all passed projects and GitHub repositories is published here: 🔗 https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/leaderboard_projects.md We’d love your help to add tags, countries, and full names for the authors to make the leaderboard more complete. For everyone else, enjoy exploring the projects and learning from your peers! 🚀

Hi fellow analysts! We’ve finished scoring the projects. 🎉 Congratulations to the 22 people who passed (12 on their first attempt and 10 on their second)! Great work! We’ll be generating the certificates soon and will announce once they’re ready. 👉 Please make sure that your certificate name in your course enrollment profile is correct. Certificates will not be regenerated after they are issued. You can check and update your profile here: https://courses.datatalks.club/sma-zoomcamp-2025/enrollment (login required). We’ll also be publishing the list of all passed projects so everyone can learn from them. If you’d prefer to opt out of sharing, please let us know. — Ivan

Thanks everyone for your hard work on the Capstone Projects (Attempt 2)! 🙌 🚀 We’ve just wrapped up the second round of submissions — 10 new projects this time! It’s fantastic to see so many of you iterating, refining, and pushing your ideas further. That persistence and creativity are exactly what this challenge is about 👏. 🔎 Now comes the peer review stage: You’ve each been assigned 3 projects to review. Deadline: Sep 30, 2025 (end of day, GMT+1 / Dublin time). ✅ Why reviews matter: Reviewing your peers’ work is one of the best ways to deepen your own learning. You’ll discover new techniques, design choices, and creative problem-solving approaches. Every time I’ve looked through these projects, I’ve come away with fresh ideas — and I’m sure you will too. 🌍 Once reviews are complete, we’ll publish a public page with GitHub links and tags, so your work can be explored and celebrated by the wider community. So please dedicate a few hours to thoughtful peer reviews — it makes a big difference, both for your peers and for your own growth. – Ivan

Hey everyone! 👋 ✅ Attempt 1 – Completed * Submissions: closed * Peer reviews: finished * Result: 12 projects passed 🎉 * Certificates: will be issued after Attempt 2 is complete (so all participants are included together). 🚀 Attempt 2 – Now Open * If you missed the first round, or want to refine and resubmit your project, this is your chance! * 🔗 Submission link (bottom of page): https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/projects * 📅 Deadline: Sep 22, 2025 (end of day, GMT+1 / Dublin time) * Peer reviews for Attempt 2 will begin right after the deadline. 📌 Reminder To qualify for the certificate, you must: * Submit a project (Attempt 1 or Attempt 2) and get the min. score of 6 points * Complete 3 peer reviews 👏 Thanks again for all your effort — Attempt 1 showed just how much creativity and dedication you’ve put into your capstones. Excited to see what comes out of Attempt 2! 🚀 – Ivan

Thanks everyone for your hard work on the Capstone Projects (Attempt 1)! 🙌 🚀 We’ve just wrapped up submissions — and wow, a lot of you pushed through until the very last day. On average, each of you spent 33 hours on your projects (that’s a serious commitment 👏). Hopefully, it was not only a challenge but also something you’ll start applying in practice (or even trading!) right away. 🔎 Now comes the peer review stage: You’ve each been assigned 3 projects to review. Deadline: Sep 3, 2025 (end of day, GMT+1 / Dublin time). ✅ Why reviews matter: Reading others’ work is one of the best ways to learn — you’ll see different approaches, creative ideas, and new tools in action. I’ve gone through all the 2024 projects myself, and it was truly inspiring. I can’t wait to see what you produce this year. 🌍 After reviews are complete, we’ll publish a public page with GitHub links and tags so everyone can explore the projects. It’ll be a great way to showcase your work and share it with the community. So please dedicate a few more hours to peer reviews — it will benefit both you and your peers. – Ivan

Hey everyone! ⏰ Today is the final day to submit your Capstone Project. Please upload what you have – even if it’s not perfect – so you can take part in the peer review stage. 🔗 Submission link (bottom of page): https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/projects ✅ What happens next? Tomorrow (Aug 26) you’ll be assigned 3 projects to review. You’ll have 1 week (Aug 26 – Sep 2) to complete your reviews. Remember: to qualify for the certificate, you must both submit your project and review 3 other projects. 💡 If you’re short on time: You can always resubmit a refined or brand-new version in September’s iteration. Let me know if you have any questions – and good luck wrapping up your capstones! 🚀 – Ivan

📢 Course Update – August 5 Hey everyone! ✅ HW4 is scored – check your standing on the leaderboard here: 🔗 https://courses.datatalks.club/sma-zoomcamp-2025/leaderboard 🎥 Missed Monday's lecture? Watch the recording here: https://www.youtube.com/watch?v=FA0x_yBfMjM We covered advanced simulations, automation, and the capstone project (criteria + timelines). 🚀 Capstone Project – Submission Link is Now Open! You’ll find it at the bottom of this page: 🔗 https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/projects 🗓 Deadline: Submit by Monday, August 25 (end of day, GMT+1 - Dublin time) 🎯 Before doing peer reviews, you must: Submit your capstone project Score at least 6 points (evaluation criteria are listed on the project page) 🎓 To receive a certificate: Submit your project and peer review 3 other projects (Aug 25–31) No homework submissions are required – you can still complete the course and receive a certificate even if you didn’t submit any HAs, as long as you do the capstone + peer reviews 💡 Busy in August? No worries: You can submit your project in the final September iteration Or submit a second version – improved or brand new Happy coding and good luck with your capstones! – Ivan

🚨 Reminder: Stock Market Analytics Zoomcamp Module 5 livestream starts in 30 minutes! 📅 Fifth livestream: August 4th, 6:00 PM GMT+1 (Dublin time) 📺 Join here: https://www.youtube.com/watch?v=FA0x_yBfMjM 📂 Module 5 Materials & Code: 🔹 Full folder: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/05-deployment-and-automation 🔹 This session’s notebook: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/05-deployment-and-automation/%5B2025%5D_Module_05_Advanced_Strategies_And_Simulation.ipynb 📑 Slides: https://docs.google.com/presentation/d/e/2PACX-1vQbhpwqnfNTvo1Q4jxeWs5UnncPVhMPrro9iy2Y74ObF0NgfRCzPLBeXvs55Xp2vR-2RknrpQSwefXH/pub?start=false&loop=false&delayms=3000&slide=id.p 📝 If you’ve got a few minutes before we go live, take a look at the slides and notebook — they’ll give you a great head start on today’s session.

📢 Module 5: Advanced Trading Simulation & Automation — Livestream on Monday! 🗓️ Monday, 4 August at 6:00 PM (Dublin time) 📺 Watch here 👉 https://www.youtube.com/watch?v=FA0x_yBfMjM (Subscribe to get notified!) ⚙️ This session is where strategy meets automation — we’ll simulate realistic trading with capital and risk constraints, then automate the entire workflow from notebook to production-ready Python project. 🔍 Topics we’ll cover: 💼 From Simulation to Automation • Row-by-row backtesting with capital limits • Stop-loss and take-profit logic • Multi-trade strategies based on prediction confidence 🛠️ Workflow Engineering • Convert Colab notebooks to Python scripts • Structure your project for maintainability • Run everything from the command line (Cron/Airflow/etc.) 📌 HW4 is still open! You have until the end of Monday, 4 August (23:59 Dublin time, GMT+1) to submit: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework4.md Missed a session? Catch up on recordings & code here: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp

[Update] 📚 Homework 4 is now published! 🗓 Deadline: August 4th, 23:59 GMT+1 (Dublin time) 🔗 https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework4.md

📊 Homework 3 has been scored! Check your results on the leaderboard: https://courses.datatalks.club/sma-zoomcamp-2025/leaderboard 📚 Homework 4 will be shared in a few days — stay tuned! We’re putting the final touches on it, and it’ll be announced soon. 👉 In the meantime, make sure to review the Lecture 4 materials. 📺 Missed Lecture 4? Watch the full recording here: https://www.youtube.com/watch?v=YU7N-sY8eCQ 📓 Notebook with Lecture 4 code & HA3 answers: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/04-trading-strategy-and-simulation/2025/%5B2025%5D_Module_04_Colab_Trading_Simulations.ipynb 💡 This is the notebook used in the lecture — it includes the answers to HA3, since we use the same data. 📑 Slides: https://docs.google.com/presentation/d/e/2PACX-1vSJtVViCdY5M14-a4sxEWxvwNnpIgdrlhvAIhsT1csBXlOA2PaiFIPGIIehfOpru7Ev8T_S3JHC_9mT/pub?start=false&loop=false&delayms=3000&slide=id.p 🆘 Need help? Book a paid 1:1 consultation with Ivan (6 slots/week): https://calendly.com/ivan-brigida/consultation-with-ivan

📢 Module 4: Trading Strategy & Simulation — Livestream on Monday! 🗓️ Monday, 6:30 PM (Dublin time) 📺 Watch here 👉 https://youtube.com/live/YU7N-sY8eCQ 📈 This session is where predictions meet trading logic — we’ll show how to turn model outputs into simulated investment strategies using real-world constraints like fees and capital limits. 🔍 Topics we’ll cover: 💼 From Model to Market Action • Decision rules based on prediction confidence • Building a simulation framework • Trading costs & capital constraints 🌲 ML Model Upgrades • Hyperparameter tuning (Decision Tree) • Intro to Random Forests (+ optional Neural Nets) • Evaluation beyond accuracy (precision, recall, financial relevance) 📊 Simulation & Evaluation • Vectorized backtests: "Invest $100 per signal" • Scaled investments by prediction probability • Analyze returns, hit rates, and more! 🧠 Come ready to learn, ask questions, and simulate strategies with your models! 📌 HA3 is still open! You have until end of Monday to submit: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework%203.md Missed a session? Catch up on recordings & code here: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp

📚 [Update] Homework 3 — submission link is now live! 📝 Submit your solutions here: https://courses.datatalks.club/sma-zoomcamp-2025/homework/hw03 🗓️ Deadline: Monday, July 14th, 23:59 GMT+1 (Dublin time) 🆕 Latest updates: - The submission form is now open — you can submit your solutions anytime before the deadline. - Problem 2 has been updated — make sure to solve the new version. - The "Problems or comments" field in the submission form is now fixed — you're welcome to leave any feedback on the homework, slides, or course! 📖 Homework 3 details: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework%203.md 📺 Missed Lecture 3? Watch the recording: https://www.youtube.com/watch?v=5YJLWTgNLaA 📂 Module 3 code & materials: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/03-modeling 📑 Slides: https://docs.google.com/presentation/d/e/2PACX-1vQk1vvtNP1dBI6ss3_EnJMvSBmd3cz_jCgFbVg1aZI-tLBuGyeeMQRvSbEwfNkcsFWrqNmBWlBxrwOj/pub?start=false&loop=false&delayms=3000 🆘 Need help? Book a paid 1:1 consultation with Ivan (6 slots/week): https://calendly.com/ivan-brigida/consultation-with-ivan

📚 Homework 3 is out now! https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework%203.md 🗓️ Deadline: Monday, July 14th (23:59 GMT+1, Dublin time) ✅ You can start solving the problems now — the submission page will be open soon (likely over the weekend). 👉 This is the main update — don’t miss it! 📊 Homework 2 has been scored! Check your results on the leaderboard: https://courses.datatalks.club/sma-zoomcamp-2025/leaderboard 📺 Missed Lecture 3? Watch the full recording here: https://www.youtube.com/watch?v=5YJLWTgNLaA 📂 Module 3 code & materials: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/03-modeling 📑 Slides: https://docs.google.com/presentation/d/e/2PACX-1vQk1vvtNP1dBI6ss3_EnJMvSBmd3cz_jCgFbVg1aZI-tLBuGyeeMQRvSbEwfNkcsFWrqNmBWlBxrwOj/pub?start=false&loop=false&delayms=3000 🆘 Need help? Book a paid 1:1 consultation with Ivan (6 slots/week): https://calendly.com/ivan-brigida/consultation-with-ivan

🚨 Reminder: Stock Market Analytics Zoomcamp Module 3 livestream starts in 1 hour! 📅 Third livestream: June 16th, 6:30 PM GMT+1 (Dublin time) 📺 Join here: https://www.youtube.com/watch?v=5YJLWTgNLaA 📂 Materials & code for Module 3: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/03-modeling 📑 Slides: https://docs.google.com/presentation/d/e/2PACX-1vQk1vvtNP1dBI6ss3_EnJMvSBmd3cz_jCgFbVg1aZI-tLBuGyeeMQRvSbEwfNkcsFWrqNmBWlBxrwOj/pub?start=false&loop=false&delayms=3000 📝 If you’ve got a few minutes before we go live, feel free to skim through the slides — they’ll give you a great head start on today’s session. 👉 See you soon!

📢 Module 3: Time Series Modeling – Livestream on Monday, 16th July! We’ll be live at 6:30 PM Dublin time (GMT+1) on Monday, 16th July — mark your calendars! 🔗 Join the stream here: https://www.youtube.com/watch?v=5YJLWTgNLaA In this session, we’ll cover: 🛠️ Data Preparation & Feature Engineering • Defining key variable sets • Creating dummy variables for categorical features • Temporal train/test split • Correlation analysis for feature selection 🌳 Modeling: Binary Decision Trees & Feature Significance • Building decision tree models • Interpreting feature importance from the binary model 💡 Final Prediction & Comparison • Hands-on time series prediction using stock market data • Comparing model predictions with hand-crafted rules 👉 Come ready to learn, ask questions, and build models! 🔄 Hopefully, you’re enjoying Module 2 and the homework submissions — you have 1 more week to submit! Missed Module 2? Recording, code, and homework here: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/tree/main/02-dataframe-analysis

Hi everyone 👋 🎥 Lecture 2 is now live! If you missed it or want to re-watch, here’s the full recording: https://www.youtube.com/watch?v=yRpf0D5SGIE Give it a like and drop your questions or comments under the video! 📊 Homework 1 has been graded — check your score and rank here: https://courses.datatalks.club/sma-zoomcamp-2025/leaderboard 📚 Homework 2 is now released: https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp/blob/main/cohorts/2025/homework%202.md 🗓️ Deadline: Monday, June 23rd (23:59 GMT+1, Dublin time) 👉 This is the most important message — don’t miss the deadline! 🆕 You can also book a paid consultation with Ivan (6 slots/week) here: https://calendly.com/ivan-brigida/consultation-with-ivan If you’re stuck or need feedback on your project/homework — this is your chance to get direct help. Let us know in the group chat if you have any questions! 💬