Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio. Course Code
Generating Buy/Sell signals based on historical prices of an asset using a Deep Reinforcement Learning algorithm known as Duelling Deep Q Networks. Source
It is no longer a statement that investing in cryptocurrencies is terrible! Many investors have already allocated a portion to crypto. In this article, I will cover top packages on crypto trading while writing this […]
Whatever your product might look like, there’s usually one or more Python libraries that can do the legwork for you. So, instead of re-inventing the wheel, let’s have a look at which packages can facilitate […]
Using VADER (Valence Aware Dictionary and sEntiment Reasoner), Pushshift API, Spacy’s Named Entity Recognition, and Spearman rank-order correlation test. Source
Swiss researchers at the Ecole Polytechnique fédérale de Lausanne (EPFL) predicted market crashes using topological data analysis (TDA). Post Doc Guillaume Tauzin with fellow researchers introduced giotto-tda, a Python library that integrates topological data analysis with […]
Reinforcement learning here stands out as a Holy Graal — no need to do intermediate forecasts or rule creation — you just have to define a target and the algorithm will learn the exact rules […]
As the above picture shows, Bitcoin attracts people because its volatility makes the potential for profits. Yes, Due to the VOLATILITY, most traders can not hold BTC for the long term. Source
A short walkthrough on how the combination of three exciting fields; behavioral finance, alternative data, and machine learning leads to new insights in to the stock market Source
Within forecasting there’s an age old question, ‘is what I am looking at a trend?’ Within the realm of statistics there are many tools that, with various degrees of success, answer said question. Yet, no […]
With fraudulent activity on the rise, financial organizations need to keep up with their compliance requirements, avoiding fines and keeping themselves and their customers safe. Source
The following indicator is a normalized oscillator making use of the arc tangent sigmoid function (ArcTan), this allows to “squarify” the output result, thus visually filtering out certain variations originally present in the oscillator. Source
This library has for goal to make it simpler, faster, and easier to analyze stocks and portfolios in only a few lines of code instead of taking hours to learn mathematical concepts behind these tools […]
For the past several months I’ve been scraping data on stock trading by U.S. congressmen and creating visualizations such as the one below showing weekly net stock purchases by senators alongside the market. Source
B2B machine learning (ML) companies are an enigma: they have the opportunity to revolutionize how we do business, but they look & feel quite different from their traditional SaaS counterparts and have proven difficult to […]
Much has been written and celebrated in the press about the combination of Man + Machine to outperform the markets. And no software application has done it better than HOLLY, the artificially intelligent virtual trading […]
Deep learning has shown incredible capabilities in many areas (medical, vision, etc.), but how does it compare to well known autoregressive models in financial time series and how Online Learning can improve the results. Source
If you like to dabble in stocks (like me), you are likely conscious about events of high volatility in the market which could lead to massive red days which could further extend to even weeks […]
These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model (LSTM) and Gated recurrent unit (GRU), of an important branch of deep learning that deliver superior predictions for sequential data such […]
Explore the connection between data science and finance, with an initial focus on the currency markets, but I hope to build many more avenues in the future Source
In this new python package called Machine Learning Financial Laboratory (mlfinlab) developed by Hudson & Thames, there is a module that automatically solves for the optimal trading strategies (entry & exit price thresholds) when the […]
As an options trader, it is important to be able to monitor your performance and at the very least know whether or not your strategies are working and that you’re profitable. Source
Most stock trading algorithms that incorporate machine learning are based upon some form of linear regression. There are benefits and drawbacks to this method. Source
In the real world, analyzing data, learning how to ‘automate the boring stuff,’ creating ETL pipelines and dashboards, and guiding stakeholders or clients to the correct path often delivers much more value. More data teams […]
Backtesting is a fundamental step in testing the viability of your trading ideas and strategies. Here is a simple backtesting implementation in Python. Source
By the end of this story you will understand how to use the popular Python library Scikit-Learn to predict gold prices. We will compare a linear regression model with a train / test split to […]
There are two analyses in a stock price analysis — fundamental analysis and technical analysis. Fundamental analysis is focused on analysis of the company’s future growth based on current business environment and financial performance such […]
In this post, I show you how to predict stock prices using a forecasting model publicly available from the Facebook Data Science team: The Prophet Source
On the web interface, you can simply start from choosing your ML model type, then adjusting hyperparameters of the model and finally selecting your evaluation metrics. Source
Algorithmic Trading aims to remove the human factor and instead follows pre-determined statistics based strategies that can be run 24/7 by computers with minimal oversight. Source