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February 19, 2024

8 Trading Indicators in Python you Never Heard of

Effective Lesser-Known Trading Indicators Implemented - Choppiness, Disparity, Awesome, Three Way, RVI and More Popular indicators often dominate discussions. Yet, lesser-known indicators provide unique market insights. This article

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February 18, 2024

Automating 61 Candlestick Trading Patterns in Python

Towards Real-Time Automated Pattern Recognition using TA-Lib for Precision Pattern Scanning with Historical Accuracy Measures Candlestick patterns, formed by the movement of stock prices over time,

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February 17, 2024

Acquiring and Analyzing Earnings Announcements Data in Python

Identifying Today’s Stock Pattern in Historical Data Considering Current Market Conditions and Visualizing Future Movements in Python Earnings announcements provide valuable insights into a company’s

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February 17, 2024

Mining Patterns in Stocks with PCA and DTW

Identifying Today’s Stock Pattern in Historical Data Considering Current Market Conditions and Visualizing Future Movements in Python Previously, we showed how Dynamic Time Warping (DTW) could

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February 17, 2024

Pattern Mining for Stock Prediction with Dynamic Time Warping

Finding Today’s Stock Price Pattern in Historical Data Stock prices change frequently, creating complex data that’s hard to understand. However, through pattern mining in this

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February 17, 2024

Customizing Realistic Human Photos Using AI with PhotoMaker

From Reference to Custom Photos Customizing realistic human photos is a challenging task in the world of AI. Traditional methods like GANs and diffusion models

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February 16, 2024

Top 36 Moving Averages Methods For Stock Prices in Python

The Fundamentals, Adaptive and Dynamic, Advanced Weighting and From Niche to Noteworthy Moving averages are one of the most widely used technical indicators by traders

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February 15, 2024

Identifying Key Market Interest with the Volume Ratio in Python

The ‘Volume Ratio’ — a handy little metric to pinpoint unusual volume activity at any given moment. It offers insights into a stock’s momentum, and

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