Evaluation Engineering: Iterative Strategies to Testing Prompts
Explore iterative strategies for testing prompts, including backtesting and regression testing, to enhance evaluation engineering in prompt development.
Forex Algorithmic Trading Course - Learn How to Code on MQL4
Learn to build automated Forex trading robots using MQL4, covering programming basics, trading-specific code, and strategy development. Gain practical skills to create, backtest, and implement your own algorithmic trading systems.
New to Forex? Start Here
Comprehensive guide for Forex beginners covering trading basics, psychology, risk management, and advanced strategies to achieve consistent profitability.
Forex for Beginners
Learn forex trading basics: candlestick charts, time frames, pips, leverage, risk management, tools, backtesting, trading psychology, and strategies. Develop skills for successful currency trading.
Trading Options Like Pro - Quantsapp Options Analytic Tool
Master options trading with advanced analytics, including implied volatility, option chains, backtesting, and specialized indicators. Utilize Quantsapp tools for professional-level strategies and decision-making.
Historical Fear and Greed Index Data - Jupyter Notebooks
Explore historical Fear and Greed Index data using Jupyter Notebooks for backtesting and analysis, enhancing your understanding of market sentiment trends.
PyAlgoTrade Tutorial - Technicals, Analyzers, and Plotting
Learn to backtest trading strategies using PyAlgoTrade, incorporating technical indicators, equity visualization, and trade statistics analysis for improved algorithmic trading performance.
Fear and Greed Revisited - Backtesting a VIX Spike Trading Strategy with Python
Backtest a VIX spike trading strategy using Python, exploring buying opportunities during market fear and comparing selling strategies for optimal returns.
Why Is My App Slow - Defining Reliability in Platform Engineering
Explore statistical approaches for detecting and measuring platform-level latency regressions in serverless environments, focusing on customer-centric performance metrics beyond traditional SLOs.
Darts - Unifying Time Series Forecasting Models from ARIMA to Deep Learning
Explore time series forecasting with Darts, a Python library unifying traditional and deep learning models. Learn best practices for preprocessing, backtesting, and achieving quick results in forecasting problems.
Uniswap V3 Fee Calculation, Fee APR Backtesting, and LP Tools
Dive into advanced Uniswap v3 concepts, exploring fee calculations, APR backtesting strategies, and essential liquidity provider tools for optimizing DeFi investments.
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.