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How to Perform Machine Learning Using Amibroker and Python
Amibroker is a powerful technical analysis and trading system development platform, used extensively by traders and analysts for developing and deploying trading strategies. Python, on the other hand, is a versatile programming language that...
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Bulls Make a Comeback: 9th Consecutive Positive Close for Nifty Futures
The financial landscape has taken an exciting turn as the bulls return with full force, marking a remarkable 9th consecutive positive close for Nifty Futures. Witnessing an impressive ascent from 16,942 to 17,884 levels,...
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Top Quant Python Libraries for Quantitative Finance
quantitative-finance, python, pandas, NumPy, SciPy, scikit-learn, statsmodels, QuantLib, zipline, TensorFlow, pyfolio, yfinance, seaborn, Plotly, Streamlit, TA-Lib, pandas_ta
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Understanding the Behavior of Long-Term Investors – Market Profile Tutorial
Long-term traders/investors typically have a buy-and-hold strategy, meaning they hold positions in the market for an extended period, usually months or years. They are more interested in fundamental factors that drive the market, such...
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Introduction to NumPy – Python Tutorials for Traders
NumPy is a Python library that provides support for large, multi-dimensional arrays and matrices, along with a large collection of mathematical functions to operate on these arrays. NumPy is a popular library for data...
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Predicting Gap Up, Gap Down, or No Gap in Stock Prices using Logistic Regression
Logistic Regression is a popular statistical method used for predicting binary outcomes, such as predicting whether an email is spam or not, whether a student will pass or fail a test, and many more....
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MarketCalls Launched
Marketcalls(
www.marketcalls.in
) Launched Officially Will Contain Topics about Trading Strategies, Tips, Intraday Trading Ideas, Tools to be used for Trading, Nifty Trading...
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