Analyzing the Security of Machine Learning for Algorithmic Trading
Explore adversarial attacks on ML-based algorithmic trading systems, evaluating robustness and discussing realistic attack scenarios in financial markets.
Demystifying AsyncIO - Building Your Own Event Loop in Python
Construya un bucle de eventos de AsyncIO desde cero, explorando conceptos clave y culminando con la ejecución de una aplicación FastAPI para comprender los mecanismos internos de AsyncIO en Python.
How to Simulate a Low Latency Exchange in C++ - Developing Trading Strategies
Develop low latency trading strategies by simulating exchanges in C++. Learn to create simulators for backtesting, evaluating, and optimizing trading models to select profitable strategies.
The Entropy of Time - What Makes the Future?
Explore the concept of time's entropy and its impact on shaping our future with Musa Aamir, a development sector professional and social entrepreneur passionate about youth empowerment and social justice.
인공지능 기반 펀드 운용 시스템: AI-Advisor의 개발과 적용
Discover how SK's AI-powered robo-advisor revolutionizes fund management through deep learning and reinforcement learning, offering innovative solutions for financial investment products and market strategies.
Building Your Own Trading Bot in F#
Aprenda a criar um bot de negociação em F# e traduza estratégias de trading em código funcional correto.
Fairness in Algorithmic Decision Making for Financial Services
Explore fairness in AI algorithms for financial services, addressing bias detection and mitigation to ensure ethical decision-making.
From Built-in Concurrency Primitives to Large Scale Distributed Computing
Explore asynchronous execution in Python, from basic concurrency to distributed systems. Master Future and Executor interfaces, asyncio, and frameworks like Dask for efficient large-scale data processing.
Getting Started with Functional Programming IO
Explore functional programming IO concepts, comparing IO libraries with Future and understanding side effects, referential transparency, and practical implementations.
Separable Extensions: Multiple Roots, Derivatives, and Inseparable Polynomials - Part 1
Explore separable extensions, multiple roots, derivatives, and inseparable polynomials in field theory, enhancing understanding of algebraic structures.
Property-Testing Async Code in Rust for Reliable Distributed Systems
Explore property-testing techniques for async Rust code to enhance reliability in distributed systems. Learn to implement a deterministic runtime for comprehensive asynchronous execution path testing.
Demystifying AsyncIO - Building Your Own Event Loop in Python
Explore AsyncIO's inner workings by building a custom event loop in Python, culminating in running a FastAPI application. Gain insights into core concepts and practical applications.
Demystifying AsyncIO - Building Your Own Event Loop in Python
Explore AsyncIO's inner workings by building a custom event loop in Python, culminating in running a FastAPI application. Gain insights into core concepts and practical applications.
Applicative - The Forgotten C++ Functional Pattern
Explore the powerful applicative pattern in C++, learning its uses in optionals, ranges, futures, and more. Gain insights to write simpler, composable code beyond monads and functors.
Realtime Algorithmic Trading with Apache Flink - End-to-End Data Engineering Project
Develop an end-to-end algorithmic trading system using Apache Flink, Kafka, and Python. Learn real-time data processing, custom algorithms, and financial market insights.
Polymorphism, Cohesion, and Coupling in C++ - Lecture
Explore low coupling and high cohesion through polymorphism in C++. Learn to implement a performance-efficient framework using template metaprogramming for easy composition and feature addition.
HPX - A C++ Library for Parallelism and Concurrency
Explore HPX, a C++ library for parallelism and concurrency, enabling efficient parallel applications for heterogeneous resources with excellent performance and scaling characteristics.
Derivative of y=a^(2x)-a^(-2x) Using Logarithmic and Implicit Differentiation
Master step-by-step techniques for finding derivatives using logarithmic and implicit differentiation, focusing on complex exponential functions like a^(2x)-a^(-2x).
Differentiation of y=a^(4x)-1 Using Logarithmic and Implicit Differentiation
Master step-by-step techniques for differentiating exponential functions using logarithmic and implicit methods, with clear examples focused on solving y=a^(4x)-1.
Quotient Rule Differentiation - Finding the Derivative of (1+Cos2x)/Sin2x
Master the Quotient Rule method for finding derivatives through a step-by-step solution of (1+Cos2x)/Sin2x, building essential calculus skills for advanced mathematical problem-solving.
How cognitive biases fail more than 90% of traders | Navy Vijay Ramavat | TEDxNMFC
In this thought-provoking TEDx talk, Navy Vijay Ramavat breaks down a hard truth of the markets: more than 90% of traders don’t fail because of lack of knowledge, but because of how the human mind is wired. Drawing from years of experience in trading, mentoring, and building systems for investors,