Learn the basics of finance and technical indicators, using Python to analyze and plot historical stock data, develop models to predict stock prices using deep learning frameworks such as TensorFlow.
Learn how to build an accounting application using the Django framework and Bootstrap in Python.
Learn how to build a GUI currency converter using ExchangeRate API and Tkinter library in Python.
Learn how to build a model that is able to detect fraudulent credit card transactions with high accuracy, recall and F1 score using Scikit-learn in Python.
Learn how to make a real-time currency converter using different ways and from various sources such as xe, yahoo finance, xrates and Fixer API in Python.
Learn how to use the fxcmpy API in Python to perform trading operations with a demo FXCM (broker) account and learn how to do risk management using Take Profit and Stop Loss
Learn how to handle stock prices in Python, understand the candles prices format (OHLC), plotting them using candlestick charts as well as learning to use many technical indicators using stockstats library in Python.
Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.