Learn Python. Understand Finance.
Build Real Trading Tools.
Two expert-level courses:
One for mastering financial data analysis,
One for pricing and trading options โ all using Python.
Python for Finance & Data Science
โ
9 hours of hands-on content โ no fluff
๐ Learn Python, Pandas, SQL & plotting
๐ผ Analyze portfolios, price assets, and build trading bots
๐ 6 real-world projects: dashboards, backtests, ML & optimization
๐ฏ For beginners who want real results, not toy examples
Start Course โ
Options Trading with Python
๐ง Master options from scratch โ no shortcuts
๐งฎ Build your own Black-Scholes pricing engine
๐ Visualize payoffs, Greeks & real trade setups
๐ Implement Covered Calls, Iron Condors & more
๐ฅ A fast-track for Python users serious about trading
Start Course โ
Built by someone who does this daily.
Iโm a financial data scientist with two university degrees and over 125,000 subscribers on YouTube
โ where I break down complex Python topics into clear, practical workflows.
This course isnโt theory.
Itโs what I use to build real tools, analyze markets, and price strategies with Python โ every day.
If you want to level up from passive learner to hands-on practitioner, youโre in the right place.
125,000+ Subscribers
Trusted by developers, traders, and analysts around the world.
2 x University Degrees
Academic depth meets practical clarity.
125,000 subscribers
Trusted by developers, traders, and analysts worldwide.
Built from Real Workflows
Learn tools I use in my day-to-day development.
Python for
Finance & Data Science
๐ง Master the Python fundamentals for data-driven finance
๐ Pull and analyze real stock market data
๐ Visualize returns, risk, and portfolio performance
๐ผ Build dashboards and backtest trading strategies
๐ค Apply machine learning to market prediction
๐ Optimize portfolios with Sharpe ratio & matrix math
๐งช Run real backtests on 500+ stocks
Options Trading with Python
๐ Learn the essentials in 3 hours of focused content
โ๏ธ Build a Black-Scholes pricing engine from scratch
๐ Visualize payoff diagrams and option Greeks
๐ Understand moneyness, volatility, and risk profiles
๐ง Implement covered calls and protective puts
๐ฏ Learn by doing โ build real strategies with Python
๐ Bonus: Live walkthrough using Bybit Option Constructor
๐ Python for Finance & Data Science
9 hours of step-by-step training โ from Python basics to
real portfolio dashboards, strategy backtests, and ML predictions.
โ๏ธ Options Trading with Python
Master options pricing in 3 hours. Build Black-Scholes tools,
visualize Greeks, and construct real Python-based strategies.
What Students Say
Karin Li
I'm enjoying your course very much so far!ย I really like your teaching style being slow paced, short and concise (videos of under 5mins each, no nonsense personal anecdotes), no condescending tone (you'll be surprised how often I see this in other people's videos), knowing exactly what we're trying to achieve and guide us to that objective. I have no questions yet, but kudos to you for answering everyone's questions in the Q&A section ๐ย Many thanks for all your effort, and hope to connect with you soon!
Paul Savage
Great course, I watch the videos a couple times as Im new to investing, but very much enjoy the course and the pace. Very good.
Bharathi Raja M
Actually, I have to say thanks to the tutor for the crystal explanations.
Dennie Harms
Very good course, explained step by step. Even absolute beginners are able to do a lot with these powerful tools afterwards. I was used to program in other languages beforehand, also trading strategies and robots, but no experience in python. The possibility to do backtests over 1000s of assets at the same time in good quality with free tools fascinated me. The course covers so many important points in a reasonable order, relatively easy to follow and gain a lot of knowledge to create own backtests, dashboards, databases, etc.
Mike M Shu
This course is really the best one for Finance, thanks a lot Algovibes!
Daniel Puntin
Moving quickly and clearly. I already know some python so this is a lot less head hurting than being shown every example of malformed variable name.
Brian D
As someone who is new to all of this im doing well keeping up with the course material
Vasily Dzneladze
Thank you for sharing your knowledge
Nirupam Mishra
Concepts are explained very nicely and visualization through graphs has added great value in understanding.
Ankit Goyal
I had preconceptions that python would be difficult to understand as I come from Non-Tech background and using it for finance will be more difficult to understand. I found difficulty in understanding it for the first time, yet, but still loved the course and would go all over again to invest my time in the course to understand it more properly and implement it.
Frequently Asked Questions
Both courses teach real financial coding with practical projects โ not academic fluff.
Whether you want to analyze stocks, build dashboards, or understand options pricing, youโll learn from someone who uses Python daily in a professional trading environment.
Start with the Python for Finance & Data Science course.
It teaches Python from scratch and builds into financial topics like returns, risk, and dashboards โ all step-by-step.
Not entirely.
The Options Trading course assumes basic Python skills โ like variables, loops, and functions. If youโre not there yet, start with the Python course first.
Youโre covered.
If you ever hit a wall, just reach out. Youโll get fast and helpful replies directly from the instructor. The courses are structured clearly, and youโre never alone.
Yes โ youโll get lifetime access to all videos, resources, and updates.
No deadlines, no pressure. Learn when it fits your schedule.
Pick the course that fits your level โ or enroll in both.
This is your shortcut to mastering Python for real-world finance and trading.
Turn your Python skills into
real trading & investing tools
Pick the course that fits your level โ and start building tools youโll actually use.