[Udemy Course] Algorithmic Trading Intro: From Basics To Bots by Nidia Sahjara, Rajeev D. Ratan

What you’ll learn

How To Read Stock Charts

Understand Candlestick Charts

Use Python’s Alpaca-Trade-Api Library

Execute Stock Trades Using Python (Submit Orders)

Concept of A Time Series Momentum Trading Strategy

Code A Momentum Strategy In Python

Calculate Performance Of Your Strategy

News Headlines Sentiment Cryptocurrency Trading Bot

Automate Trades On Stock Exchange

Mean Reversion Strategy

Python: A Beginner’s Guide

Paper Trading

Course Highlights:

No installs are required for running Python (usually this can be tedious)

Understand stock charts – be able to look at candlestick charts and explain the trends to your friends

Use Python to write a Momentum Time Series Strategy in Python & test its performance

Build a trading bot that can execute automated trades on a stock exchange

Use a simple mean reversion strategy

Build a News Sentiment Trading Bot that can execute trades on a crypto currency exchange (Binance)

Use news headlines as an indicator to trigger trades

Use your bots to Paper Trade or Live Trade

assumes no prior knowledge of trading, the stock market, crypto currency exchanges or Python

Made for Beginners

If you are interested in learning Algorithmic training but do not have any prior knowledge on trading or computer programming, this course gives a quick overview of some concepts in trading and some Python practice.

Quite often if you enrol in an Algorithmic Trading course, it is assumed that you have some prior knowledge. This course aims to help you with that – to have some prior knowledge before furthering your interest or studies in the Algorithmic Trading direction.

This course is ideal for anyone who has NO PRIOR knowledge of:

finance & trading

the stock market

python

computer programming (A Python Beginner’s Guide Chapter is included)

algorithms/algorithmic trading

No Installs For Using Python

Coding Environment: Google Colab

No need to do lengthy, tedious Anaconda installs to run Jupyter Notebook on your laptop

All you need is a Gmail account

Google Colab is one of the top choices of Professional Data Scientists in the real world

Stock Charts

Learn how to read Stock Data on Candlestick charts

Identify if a day had a Bullish vs Bearish trend from looking at Candlesticks

Get familiar with OHLCV Data

Identify A Spinning Top Candlestick

Understand what Spinning Top Candlestick means in terms of predicting stock trends

S&P 500

An Overview of the Industry Sectors that make up the S&P 500 Index

Source Free Historic Market Data

Use the Yahoo Finance Python Library to pull pricing data (FREE)

Use Python’s Alpaca-Trade-Api

a python library for the Alpaca Commission Free Trading API

Get Alpaca API Keys

Integrate these keys into your Python code

Backtesting

An overview – Why backtesting is important

How different types of Bias can cause misleading backtesting results

Selection Bias

Look Ahead Bias

Overfitting

Time Series Momentum Strategy In Python

The concept of time-series momentum trading is explained with engaging on-screen, hand-drawn visuals

Create a time series momentum strategy using Python

Performance Metrics – Assess The Time Series Momentum Strategy

Calculate the performance of your strategy with the Sharpe ratio

Calculate Buy & Hold revenue without using the strategy

Compare Buy & Hold with the strategy – which performed better?

Paper Trading

Get introduced to paper trading and create trading bots capable of paper trading on stock market & crypto currency exchanges

Python

A Beginner’s Guide

Two In-Depth Practical Projects

Build An Automated Trading Bot (Used for Live or Paper trading)

Build A News Sentiment Cryptocurrency Trading Bot

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Product Details: https://bit.ly/3yWD8YE

File size: 4.6GB

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