Algorithmic Trading with Real Python Hands-On Examples torrent

Algorithmic Trading with Real Python Hands-On Examples



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 457 MB | Duration: 1h 26m
What you'll learn
Backtesting strategy with technical indicators
Parameter Optimization
Simulation Backtesting with stocks in NASDAQ100
Screening stock system with NASDAQ100, S&P500
Requirements
Basic python programming
Description
In this course you will learn to build your own backtesting system from scratch and illustrating with plotly library. We mainly use technical indicator for backtesting such as Exponential Moving Average (EMA), Moving average convergence divergence (MACD), Bollinger Band, Bollinger Band + ADX and 3 EMA channels.

We mainly use functions relating to pandas and DataFrame being able to deal with large time-series data. For illustrate result, we use plotly library which is beautiful and easy to understand.

During learning backtesting, you will learn many performance measurement. For example, win rate, compound annual growth rate (CAGR) , expected returns and maximum drawdown.

Next, you will learn to do parameter optimization and compare many performance measurement in each parameter.