Financial Modeling for Algorithmic Trading using Python – Financial Modeling for Algorithmic Trading using Python [80 TS videos; 7 PNG’s; 10 TXT; 43 py; 44 Ipynb; 15 CSV; 248 Code files] Category: Investing / Trading / Stocks This product can only be requested by members. To get this product, you must be a memberApply for Membership Description Reviews (0) Description Financial Modeling for Algorithmic Trading using Python A practical guide to implementing financial analysis strategies using Python Author: Neha Gajakos Time to complete: 12h 35m Published by Packt Publishing Created March 2019 Description: This well thought out Learning Path takes a step by step approach to teach you how to use Python for performing financial analysis and modeling on a day-to-day basis. Beginning with an introduction to Python and its third party libraries, you will learn how to apply basics of Finance such as Time Value of Money and time series in Python. You will also perform valuations, linear regressions, and Monte Carlo simulation for analyzing some basic models. Further info: This course is ideal for aspiring data scientists, Python developers and anyone who wants to start performing quantitative finance using Python. You can also make this beginner-level guide your first choice if you’re looking to pursue a career as a financial analyst or a data analyst. What will you learn How to use Numpy, Pandas, and matplotlib to manipulate, analyze, and visualize financial data Understand the Time Value of Money applications and project selection Make use of Monte Carlo method to simulate portfolio ending values, value options, and calculate Value at Risk Understand complex financial terminology and methodology in simple ways Featuring a premiere on Ensemble Learning with Bagging & Boosting How to apply your skills to real world cryptocurrency trading such as Bitcoin and Ethereum Building high-frequency trading robots Implementing backtesting econometrics for trading strategies evaluation Get hands-on with financial forecasting using machine learning with Python, Keras, scikit-learn, and pandas Hands-on Python for Finance (5h 25m) Chapter 1 Python Programming PrimerChapter 2 The Python Data EnvironmentChapter 3 Time Value of MoneyChapter 4 Time Series Evaluation and ForecastingChapter 5 Linear Models, Correlation, and ValuationChapter 6 Build a Monte Carlo Simulation App Machine Learning for Algorithmic Trading Bots with Python (4h 50m) Chapter 1 Building Your First Trading BotChapter 2 Design a Machine Learning ModelChapter 3 Build a Trading AlgorithmChapter 4 Design Advanced Machine Learning ModelChapter 5 Build Advanced Trading AlgorithmChapter 6 Model and Strategy Evaluation AI for Finance (2h 19m) Chapter 1 Introduction to Financial ForecastingChapter 2 Predicting Currency Exchange Rates with Multi-Layer PerceptronChapter 3 Loan Approval Prediction with GradientBoostingClassifierChapter 4 Detecting Fraud in Financial Services Using Extreme GradientBoostingClassifierChapter 5 Forecasting Stock Prices Using Long-Short Term Memory Network Financial Modeling for Algorithmic Trading using Python Website Reviews There are no reviews yet. Be the first to review “Financial Modeling for Algorithmic Trading using Python –” Cancel replyYou must be logged in to post a review.