Python Functions

Python Functions Part – 1 | 7/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you […]

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Python tuples | 5/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Python lists

Python lists | 4/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Python Strings

Python Strings | 3/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Python Operators + if-else + Loops | 2/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Basics of Python Algo Trading | 1/100 Days of Python Algo trading

Congratulations on reaching this stage! If you’re here, it means you’re truly dedicated to mastering Python. Directly below, you’ll find a quiz designed to help you reinforce what you’ve just learned. This isn’t just about recalling facts; it’s about deeply understanding the concepts. Take a moment to answer the questions and see how well you

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Pandas Time Series Data In Python: A Guide to Resampling

Time series data is omnipresent in fields ranging from finance to engineering, often necessitating a change in the frequency of data points to suit analysis needs. Pandas, a powerful Python data manipulation library, provides a suite of functions ideal for this task. In this article, we’ll delve into resampling methods that condense or expand our

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Unveiling the Obelisk Ichimoku ZEMA Strategy with Backtesting and Hyperoptimization

The Obelisk Ichimoku ZEMA strategy combines four key elements for identifying potential trading opportunities: The strategy appears to analyze two timeframes: Trend Identification: Entry and Exit Signals: Additional Filters (Potential): Github Link for the “Obelisk_Ichimoku_ZEMA_v1” strategy

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Unveiling the MacheteV8b: A Trend-Following Powerhouse Freqtrade Strategy

The world of algorithmic trading thrives on strategies like the MacheteV8b, designed to capitalize on price movements aligned with the prevailing trend. This guide equips you with a solid understanding of the MacheteV8b. 1. Unveiling the MacheteV8b Strategy Core Concept: The MacheteV8b flourishes in trending markets, aiming to capture profits by riding the momentum of

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Harnessing Market Volatility With Freqtrade : Delving into the Volatility System Trading Strategy

Key Components: Strategy Logic: Here are the code examples for backtesting and hyperoptimizing the VolatilitySystem strategy, as well as important considerations: Data Downloading: Bash Backtesting: Bash Hyperoptimization: Bash Key Points: Additional Considerations: Remember: Github Source Code

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