Stock Market Trading With Reinforcement Learning
In the world of deep learning, no matter how cutting edge your models may be, you don’t get very far without well understood and clean data. This fact is especially true in the realm of ...
Market
How to Get Most Volatile Stocks With 12 Lines of Python Code
Python for Stock Market Trading How we can utilize python programming to find the most volatile stock in the share market with a few lines of python code. Source
Python: How to Get Live Market Data (Less Than 0.1-Second Lag)
This article is going to be a bit special. I am going to test the latest release from Yahoo Finance API for Python, which provide the possibility to get live data with less than a ...
Combining Two Indicators to Create a Profitable Trading Strategy
Two Indicators are Better Than One. A Back-test in Python. Source
Genetic Algorithm for Trading Strategy Optimization in Python
How can GA help cut down problem space and converge towards a better solution? Source
Monte Carlo Pricing in Python
A guide to the notion of securities pricing with code The majority of the time in undergraduate quantitative finance coursework is spent on pricing different securities. Initially, there is a heavy emphasis on the time ...
How to Generate Buy & Sell Signals of Stock Trading
An example with Crude Oil daily data Source
A step-by-step guide to test alpha performance of a quant algorithmic trading model
How to Build Quant Algorithmic Trading Model in Python Source
Identifying Candlestick Patterns using Deep Learning
Training a neural network on candlestick charts and then using it to identify patterns on it Source
A Step-by-step Implementation of a Trading Strategy in Python using ARIMA + GARCH models
Make use of a completely functional ARIMA+GARCH python implementation and test it over different markets using a simple framework for visualization and comparisons. Source