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Learn numpy, pandas, matplotlib, quantopian, finance, and more for algorithmic trading with Python!
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Python for Financial Analysis and Algorithmic Trading
Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you! This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We’ll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more! We’ll cover the following topics used by financial professionals: Python FundamentalsNumPy for High SpeedNumerical ProcessingPandas for Efficient Data AnalysisMatplotlib for Data VisualizationUsing pandas-datareader and Quandl for data ingestionPandas Time Series Analysis TechniquesStock Returns AnalysisCumulative Daily ReturnsVolatility and Securities RiskEWMA(Exponentially Weighted Moving Average)StatsmodelsETS(Error-Trend-Seasonality)ARIMA(Auto-regressive Integrated Moving Averages)AutoCorrelation Plots andPartial Auto Correlation PlotsSharpe RatioPortfolio Allocation OptimizationEfficient Frontier and Markowitz OptimizationTypes of FundsOrder BooksShort SellingCapital Asset Pricing ModelStock Splits andDividendsEfficient Market HypothesisAlgorithmic Trading with QuantopianFutures Trading
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