Quant

We use backtests to test our algorithms. Which is how it was designed to be used, but sometimes our algorithms do not perform well and we either have so many ideas about what to do next that it’s hard to decide where to start or stuck. And the problem here…

Options are a popular financial instrument that provides investors with the ability to manage risk, generate income, and speculate on the direction of future price movements. However, there is another aspect of options that can be used to generate significant returns, and that is static arbitrage. …

By BaconReagan The opinions and perspectives presented in this article belong solely to the author(s). Kalshi does not provide investment or trading advice or make any other claim to the veracity of the contents described herein and provides this article solely for the convenience of its members. Many in the…

QUANT NETWORK: THE MISSING PIECE TO CONNECTING ALL BLOCKCHAINS The introduction of blockchain technology was made to solve problems in the financial system. Ethereum, being the first major blockchain to emerge, hosted the first set of dapps and cryptocurrencies.This put smiles on the faces of developers, as they were eager to…

The Black-Scholes model is a financial model used to calculate the theoretical price of a European call or put option. The model takes into account several factors such as the current stock price, the strike price of the option, the time to expiration, the risk-free interest rate, and the volatility…

If you have an idea what is an LP position feel free to continue reading if not you may want to check out Part 0 in my series on Liquidity Provisioning. Uniswap V2 Uniswap pioneered the automated market maker decentralized exchange, the vast majority of the other swap platforms are…

Most crypto investment strategies are: buy and hold. That works when the markets go up, all you need to do is buy some crypto, put the coins in a cold wallet, and put the keys in a safe deposit box your boomer parents have at the bank. If you examine…

Hello, and welcome to my blog series! I have always wanted to share my thoughts and insights on credit risk in the banking industry. As a Junior Writer and Data Scientist/Quant, I may not have the same level of experience as some of my peers, but I’m eager to learn…

Time series forecasting is a challenging and complex task in data science. It involves predicting future values based on past observations of a variable over time. However, traditional forecasting methods like ARIMA, Exponential Smoothing, and Neural Networks have their limitations when it comes to handling complex and large-scale time series…