In the Finance industry, various institutions and entities come together to facilitate financial transactions, manage risks, allocate resources, and make informed decisions, including commercial banks, investment banks, asset management firms, insurance companies, stock exchanges, regulatory bodies, and more. If youā¦
Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour. If you want to learnā¦
Credit scoring and segmentation refer to the process of evaluating the creditworthiness of individuals or businesses and dividing them into distinct groups based on their credit profiles. It aims to assess the likelihood of borrowers repaying their debts and helpsā¦
Stock Market Performance Analysis involves calculating moving averages, measuring volatility, conducting correlation analysis and analyzing various aspects of the stock market to gain a deeper understanding of the factors that affect stock prices and the relationships between the stock pricesā¦
A recession is an economic situation that arrives when the circulation of money in the economy is low for two consecutive quarters. When the circulation of money is low, it means people are not spending money in the market. Whenā¦
Algorithmic Trading is the use of algorithms in the financial market to make trading decisions. JP Morgan Chase & Co. is one of the businesses that use Algorithmic Trading for investment decisions. So, if you want to learn how toā¦
Banks and credit card companies calculate your credit score to determine your creditworthiness. It helps banks and credit card companies immediately to issue loans to customers with good creditworthiness. Today banks and credit card companies use Machine Learning algorithms toā¦
Fintech means using technology to provide financial services. There are a lot of Fintech companies we take any finance service from daily. Some worldwide known examples of Fintech companies are Mastercard, Visa, Stripe, and Paypal. Data is considered the ABCDā¦
Stock Market Analysis means analyzing the current and historical trends in the stock market to make future buying and selling decisions. Stock market analysis is one of the best use cases of Data Science in finance. So, if you wantā¦
You must have heard or invested in any cryptocurrency once in your life. It is a digital medium of exchange that is encrypted and decentralized. Many people use cryptocurrencies as a form of investing because it gives great returns evenā¦
A candlestick chart is a data visualization tool used to analyze the price movements of stock prices, currencies, and other financial instruments. It is often used in stock price analysis by stock traders and financial analysts. Many financial analysts and even data science beginnersā¦
Financial analysis is one of the important tasks for every business. The use of data science in finance helps solve many business problems involving stock markets, risk analysis, hypothesis testing, fraud detection, risk management, credit allocation and algorithmic trading. Ifā¦
Apple has just announced the date of its September event when it is about to launch the new iPhone 13. It is currently the center of attention on the stock market. Stock market analysis is one of the popular applicationsā¦
Each country has a financial budget that describes the government’s spending capacity in different sectors of the economy. In this article, I will walk you through the task of financial budget analysis with Python. What is a Financial Budget? Thereā¦
A currency converter is an application used to convert the value of one currency into another currency. In this article, I will take you through how to write a program to create a real-time currency converter with Python. How Toā¦
In this article, I will take you through, how you can visualize real-time stock price data with Python by using the Yahoo finance API known as yahoo_fin. I will use the Plotly package in python to visualize real-time stock priceā¦
Due to the affordable computing power and the importance of data in decision making Machine Learning in Finance is getting very useful to make financial and investment decisions with great accuracy. The use of Machine Learning in Finance is reshapingā¦
In this article I will take you through a Trading Strategy with Machine Learning, which can be used to determine when you should buy stocks and when you should sell. Generally it is not easy to predict stock market, butā¦
Understanding GDP Gross domestic product (GDP) at current prices is the GDP at the market value of goods and services produced in a country during a year. In other words, GDP measures the monetary value of final goods and servicesā¦
In this article, I will create a model for credit card fraud detection using machine learning predictive model Autoencoder and python. Lets start with importing libraries The data set I am going to use contains data about credit card transactions thatā¦