Think Logically
Data modeling techniques are methods used to define and structure data in a way that ensures consistency, accuracy, and efficiency when creating a database or analyzing data. These techniques vary depending on the complexity of the data and the specific use case. Below are some key data modeling techniques: 1. Conceptual Data Model Purpose: High-level …
LangChain is a framework designed to help develop applications that leverage the power of large language models (LLMs) for a variety of use cases. It is used to build complex LLM-powered applications like chatbots, intelligent document processing tools, autonomous agents, etc. The main components of LangChain include: . LLMs (Large Language Models) Models: LangChain supports …
The Black-Scholes Model, also known as the Black-Scholes-Merton Model, is a mathematical model used to price European-style options. It was developed by economists Fischer Black, Myron Scholes, and Robert Merton in the early 1970s. This model provides a theoretical estimate of the price of European call and put options, and it is based on several …
The Piotroski Score is a financial scoring system created by Joseph D. Piotroski, an accounting professor, to identify the strongest value stocks based on specific financial criteria. The score ranges from 0 to 9 and is determined by evaluating nine fundamental signals that fall into three categories: profitability, leverage/liquidity, and operating efficiency. Each signal is …
Data Structures and Algorithms are fundamental concepts in computer science that are essential for designing efficient software and solving complex computational problems. Data Structures Data Structures are ways of organizing and storing data so that they can be accessed and modified efficiently. Different data structures are suited for different kinds of applications, and some are …
The market efficiency hypothesis, also known as the Efficient Market Hypothesis (EMH), is a theory in financial economics that suggests that asset prices fully reflect all available information at any given time. The implications of this hypothesis are profound, as it implies that it is impossible to consistently achieve higher returns than the overall market …