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    • Stock (98)
    • Trading (81)
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    • Algorithmic (12)
    • python (11)
    • Deep Learning (11)
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    Recent Posts

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Pavlo Sidelov

A Simple Technique to Enhance Trading Decisions

Posted on February 15, 2021February 15, 2021Market

The famous Relative Strength Index is used commonly by retail and institutional traders to understand where do we stand momentum-wise. Source

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Stock Market Screening and Analysis: Using Web Scraping, Neural Networks, and Regression Analysis in Investing

Posted on February 15, 2021February 15, 2021Market, TOP

Increasing portfolio returns using python Source

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Creating a Profitable Version of the MACD Oscillator. Trading Differently

Posted on February 15, 2021February 15, 2021Market

Coding and Back-testing an Oscillator Similar to the MACD in Python. Source

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Timing the market with RSI: what stats say

Posted on February 15, 2021February 15, 2021Market

The Relative Strength Index (RSI) is one of the most popular technical indicators used by private investors. Source

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Algorithmic Trading Models — Cyclical Methods

Posted on February 15, 2021February 15, 2021Market

Source

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The Pendulum Indicator for Range Trading

Posted on February 15, 2021February 15, 2021Market

Developing & Back-testing a New Indicator Using Range and Volatility. Source

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Genetic Algorithm — Stop Overfitting Trading Strategies

Posted on February 15, 2021February 15, 2021Market

How can the Coefficient of Variation make Genetic Algorithms more robust? Source

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Options trading data analysis — Part 1-An introduction

Posted on February 15, 2021February 15, 2021Market

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

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A New Way To Trade Moving Averages — A Study in Python

Posted on February 15, 2021February 15, 2021Market

Another Way to Extract Trading Signals From Moving Average Crosses. Source

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15 Applications for AI and Machine Learning in Financial Marketing

Posted on February 15, 2021February 15, 2021Technologies

AI and machine learning are making the customer experience more personalized and contextual than ever before. Source

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