Welcome to Python for Financial Markets Analysis! 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 analyzing financial markets data! Ive worked for Bloomberg for 17+ years and will present the knowledge to help you in this course. We’ll start off by learning the fundamentals of financial market data, importing large datasets and then proceed to learn about the various core libraries used in the Finance world including jupyter, numpy, pandas, matplotlib, statsmodels, yfinance, plotly, cufflinks and much more. We will use jupyter notebooks, google colabs and visual studio to write our python apps for finance. We’ll cover the following topics: Python FundamentalsNumPy for High Speed Numerical ProcessingPandas for Efficient Data AnalysisMatplotlib for Data VisualizationPandas Time Series Analysis TechniquesStatsmodelsImporting financial markets data Working with single and multiple stocks with prices, fundamental dataStreaming real-time data pricesCreate interactive financial charts with plotly, cuffllinksUsing annotation to tell the data storySimple to advanced time series analysisTime series analysis with indexing, filling and resamplingRate of returns analysis for stocks, crypto and indexesCreate Financial Indexes with price, equal and value weighted formationsCreate custom technical indicators - Squeeze momentum, point and figure and moreCreate trading strategies with technical indicatorsExplore stock statistics with peer analysis, returns rates, and heatmapsFind best and worst returns months for any global instrumentsCreate your very own stock screenCreate your very own web based (flask) candlestick pattern screenerAlgo trading with Buy Low and Sell High StrategiesPortfolio analysis with pyfolio Create interactive data apps with streamlitand much more. Why you should listen to me. In my career, I have built an extensive level of expertise and experience in both areas: Finance and CodingFinance:17 years experience in Bloomberg for the Finance and Investment Industry. Build various financial markets analytics companies like KlickAnalytics, ClickAPIs and morePython & Pandas: My existing companies extensively used python based models and algorithmsCode, models, and workflows are Real World Project-provenBest Seller author on Udemy e.g. PostgreSQL Bootcamp: Go from Beginner to Advanced, 60+ Hours courseMaster Redis - From Beginner to Advanced, 20+ hoursWhat are you waiting for? Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee. Looking Forward to seeing you in the Course! LETS GET STARTED!
