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    Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti

    $112.00

    A complete end-to-end learning programme that starts by teaching basics in Python and ends in implementation of new algorithmic trading techniques in live markets. Highly recommended if you wish to multiply your portfolio and include historical data back-testing & discipline in your trades.

    SKU: 3f9d4d264c7eCategory:

    Purchase Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti at Aibox! You get access to all files. Direct Download Link and No costs are incurred (No Ads, No Waiting Time, No Capcha). Our courses come with a lifetime warranty, we're always here to help if you need it.

    A complete end-to-end learning programme that starts by teaching basics in Python and ends in implementation of new algorithmic trading techniques in live markets. Highly recommended if you wish to multiply your portfolio and include historical data back-testing & discipline in your trades.

    SKILLS COVERED

    COURSE FEATURES

    • Lifetime Access to the course
    • Community support
    • Downloadable codes
    • Hands-on guided learning
    • Get Certified

    LEARNING TRACK

    Automated Trading using Python & Interactive Brokers

    Mini Learning Track

    These courses are often bought together for better understanding of connected concepts.

    Specialization Bundle

    This set of courses have shown to be most effective in learning and implementation of techniques in trading.

    PREREQUISITES

    It is expected that you have some trading experience and understand basic financial markets terminology like sell, buy, margin, entry, exit positions. You can complete the learning track without any Python knowledge and replicate the models in spreadsheets or any other trading software language you are comfortable with.

    AFTER THIS COURSE YOU’LL BE ABLE TO

    Automate your trading. Backtest your trading strategies ideas on historical data. Connect with broker by understanding the API structure. Learn to manage your portfolio and place orders.

    Multiply your portfolio. Master different quantitative techniques used across different asset classes and options: Statistical Arbitrage, Options Pricing models, Time Series Modelling. Work with actual markets data to create prediction models using machine learning algorithms. Create 20+ new trading strategies.

    Start your algorithmic trading desk/business. In a short time of around 40 hours, gain hands-on experience in using technology and mathematics in trading. Get trained by Quants, HFT traders and market practitioners and learn from their experience.

    SYLLABUS

    Course 1: Getting Started with Algorithmic Trading!

    •  Introduction
    • Why Algorithmic Trading?
    • Available Platforms & Languages
    •  Strategy Paradigms
    • Algorithmic Trading Platform
    • Regulations & Compliance (Optional Section)
    • Downloadable Resources

    Course 2:  Python For Trading!

    •  Introduction to Python!
    •  Python Data Structures
    • Data Analysis & Trading
    •  Dealing with Financial Data
    • Backtesting
    • Performance Metrics
    • Python Installation and Automated Execution

    Course 3:  Trading using Options Sentiment Indicators

    •  Introduction to Sentiment Trading
    •  Breadth Measures
    • Option Trading Measures
    • Volatility Measures
    • Risks in Trading
    • Python Installation and Automated Execution
    • Conclusion and Downloadable Resources

    Course 4: Quantitative Trading Strategies and Models

    •  Quantitative Trading: An Introduction
    •  Technical Trading Strategies
    • Econometric Models
    •  Quantitative Trading Strategies for Options
    • Python Installation and Automated Execution
    • Summary

    Course 5: Trading with Machine Learning: Classification and SVM

    •  Introduction
    •  Binary Classification
    • Multiclass Classification
    • Support Vector Machine
    • Prediction and Strategy
    • Python Installation and Automated Execution
    • Downloadable Code

    Course 6: Automated Trading with IBridgePy using Interactive Brokers Platform

    •  Introduction
    • Installation Steps
    •  Know the basic Code Structure
    •  Learn how to Fetch Data
    •  Orders Management
    •  Portfolio Management
    •  Trading Strategy Implementation
    • Downloadable Resources

    Course 7:  Mean Reversion Strategies In Python

    •  Stationarity of Time Series
    • Cointegration
    • Triplets
    • Half Life
    • Risk Management
    • Best Markets to Pair Trade
    • Index Arbitrage
    • Long Short Portfolio
    • Python Installation and Automated Execution
    • Summary

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    Keep improving yourself today with this “Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti ” course at only 112.0000


    Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti Review. Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti download. Learning Track: Automated Trading using Python and Interactive Brokers – QuantInsti discount.