Leverage Python for Quantitative Finance
Leverage Python for Quantitative Finance
Historical Volatility vs Implied Volatility: How to Use Them for Investment Decisions with Python Volatility is a key factor that affects investment decisions in the stock market. It refers to the amount of fluctuation in the price of a security…
What is Pair Trading? Pair Trading Strategy with Python Pair trading is a market-neutral trading strategy that involves buying and selling two highly correlated instruments simultaneously to exploit any divergence in their prices. In pair trading, the trader takes a…
Cryptocurrency Analysis and Trading with Python Cryptocurrencies have gained immense popularity in recent years, with Bitcoin, Ethereum, and other digital currencies becoming mainstream investment assets. As the cryptocurrency market continues to grow and evolve, quantitative analysis and trading strategies can…
Mean Reversion Trading Strategy with Python Code Mean reversion is a popular trading strategy that involves identifying assets that are currently overbought or oversold and betting on their price to return to their mean or average level. This strategy is…
Modern Portfolio Theory Modern Portfolio Theory (MPT) is a theory that was developed by Harry Markowitz in 1952. It is a mathematical framework for constructing portfolios of financial assets that aims to maximize expected returns for a given level of…
Fundamentals of Returns I think most investors probably want to start by looking at returns. What exactly is a return, and how do we characterize returns? Take a look at this chart. This is a set of 12 monthly returns…
Engulfing Pattern Trading The engulfing pattern trading is a popular candlestick pattern used by traders to signal potential reversals in price trends. This pattern consists of two candlesticks, where the body of the second candle completely engulfs the body of…
The basic stock return calculation involves the calculation of the past period of daily returns of stock and taking the mean of returns which will later be either multiplied by the number of business days of a year or just…
