Average salary for financial quants & algo traders.
Market trades rely on data-driven strategies.
Algorithmic trading industry value by 2030.
Rise in demand for Python, AI & financial data skills.
Start your journey to become an algo trader
Python for Finance : Gain practitioner-level skills with Python for algo trading with coverage of libraries including pandas, numpy and matplotlib.
Statistics and Econometrics: Increase Your Statistics and Econometrics skills– Highly Valued for Algo Trading And Sought After By Employers
Financial Concepts: Learn introductory concepts, terms and ideas in Algo Trading
Basics of Financial Data : Free Financial data for building Financial models
Video Content
Lines of ready-to-use Python code
Comprehensive coverage of Python, Statistics & Algo Trading
A complete package
Gain practitioner-level skills with Python for algo trading with coverage of libraries including Pandas, Numpy and Matplotlib
$49
Increase Your Statistics and Econometrics skills– Highly Valued for Algo Trading And Sought After By Employers
$49
Learn introductory concepts, terms and ideas in Algo Trading
Free
Financial data and sources for Algorithmic Trading
$30
A perfect set of courses covering almost all kinds of algo trading strategies with ready to use code and live trading deployable models.
Momentum : Create time series and cross sectional momentum strategies on stock, stock indices, fixed income, and commodities futures. Learn to quantitatively analyze time series, portfolio returns and risks, and design and backtest momentum trading systems.
Mean reversion & Statistical arbitrage : Identify trading opportunities based on Mean Reversion and statistical arbitrage theory. Create different mean reversion strategies such as Index Arbitrage, Long-short portfolio using market data and advanced statistical concepts. A must-do course for quant traders.
AI/ML and sentiment analysis : Using advanced ML techniques, including neural network, deep learning, unsupervised learning, reinforcement Learning and NLP models to generate trading strategies.
Technical Indicators : Use different kinds of technical indicators to generate trading signals, code and backtest trading strategies.
Event Driven : Create seasonal strategies to capitalize on the anomalies which exist in equities, treasury and volatility markets. Learn to use research papers as inspiration to come up with new trading strategies.
Factor and Value based: Create trading strategies using factor based approaches such as fama-french & many others
Create time series and cross sectional momentum strategies on stock, stock indices, fixed income, and commodities futures. Learn to quantitatively analyze time series, portfolio returns and risks, and design and backtest momentum trading systems.
Identify trading opportunities based on Mean Reversion theory. Create different mean reversion strategies such as Index Arbitrage, Long-short portfolio using market data and advanced statistical concepts. A must-do course for quant traders.
Using advanced ML techniques, including neural network, deep learning, unsupervised learning, reinforcement Learning and NLP models to generate trading strategies.
Use different kinds of technical indicators to generate trading signals, code and backtest trading strategies.
Create seasonal strategies to capitalize on the anomalies which exist in equities, treasury and volatility markets. Learn to use research papers as inspiration to come up with new trading strategies.
Create trading strategies using factor based approaches such as fama-french & many others
Learn to Backtest, optimize and validate trading strategies, assess the strategy performance, and apply risk management measures.
Learn how to write the most efficient codes to quickly analyse, backtest, optimise and go live with your trading strategy in the least amount of time possible.
Top Universities offer this course to their students.
This course was selected and trusted by universities and organizations worldwide. 
Features of this book:
Features of this book:
Run course strategies on "algobulls" cloud
Yes, you can ask your queries related to the course on the community. We try our best to reply to the questions asap. However, we might need 2-3 business days in answering the questions. It might take longer in case of complicated questions. Additionally, the python ecosystem, APIs and the functions keep on changing quite frequently. Although, we try to be up to date with the latest setup, but some issues due to the changing python ecosystem is expected.
We respect your time, and hence, we offer concise but effective short-term courses created under professional guidance. We try to offer the most value within the shortest time. Please check the price of the course before enrolling in it. Once a purchase is made, we offer complete course content. For more details on the refund policies see Click Here
Yes. We provide the certificate after completion of all the quizzes in the course.
Some of the course material is downloadable such as Python notebooks with strategy codes. We also guide you how to use these codes on your own system to practice further.
Yes, the lectures are pre-recorded and have self-paced modules. You have lifetime access and can watch them whenever you'd like.
It helps if you have some exposure to programming Python before taking the course. The first few sessions cover the basics of Python, but it ramps up quickly from there.
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