A Substitute for Fibonacci in Trading. Thinking Outside the Box
Presenting the Lucas Series as a Complement to Trading. Source
Trading
How to Generate Trading Strategies Automatically
Building a Quantitative Analysis Tool for Researchers & Neural Networks Source
Stock Trading Strategy Utilizing the Distribution of Predicted Returns
On this article we explain one of the three novel contributions behind the paper “High-performance stock index trading using neural networks and trees”, which achieves very strong results applied to major stock market indices such ...
A Full Crypto Trading Bot in Python
The trading strategy doesn’t try to be optimal — that’s hard. It simply tries to buy at a low point, hold for a day or two until the price rises a bit, and then sell. ...
Creating Bitcoin trading bot that could beat the market
In this tutorial, we will continue developing a Bitcoin trading bot, but this time instead of doing trades randomly, we’ll use the power of reinforcement learning. Source
AI for algorithmic trading: rethinking bars, labeling, and stationarity
In a series of articles I was applying a very straightforward approach to forecast financial time series: take the whole dataset, using a sliding window approach generate X and Y, split it into historical and ...
Gap Trading. An Introduction & Back-test in Python
Introducing Gaps and How to Identify and Trade Them. Gaps form an important part of price action. They vary in rareness from market to market. For instance, in the currencies market, they usually happen on ...
Using the Average Slope as a Trading Indicator
Taking Advantage of Steepness to Find Trading Signals in Python. Finding signals and patterns inside a random-like market is not an easy job and as such, one has to seek out every possible way to ...
Creating a Trading Strategy From Scratch in Python
Using Basic Information to Create a Profitable Trading Strategy. Trading strategies are the essence of buying and selling in the markets. Many traders have their reasons to participate. A strategy begins with an idea which ...
Python for Algorithmic Trading: A to Z test
I have tested in real-time the implementation coded with Python of a famous mathematical technics to predict market movement (Bollinger Band) to check the gap between theory and reality. And here is the result. Source