Algorithmic Trading Intro: Stock Charts & Momentum Strategy

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 progamming
• 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

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

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?