Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
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In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for uncovering ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
I am shifting my focus to momentum strategies in Nasdaq-100 ETFs like Invesco QQQ Trust ETF and TQQQ for 2026, using backtests to balance DCA with market timing amid potential volatility. My thesis is ...
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Start 2004-08-19 00:00:00 End 2013-03-01 00:00:00 Duration 3116 days 00:00:00 Exposure Time [%] 94.27 Equity Final [$] 68935.12 Equity Peak [$] 68991.22 Return [%] 589.35 Buy & Hold Return [%] 703.46 ...
The Crypto Trading Backtesting Bot is a Python-based tool designed to backtest trading strategies using historical market data from Binance. The bot can download historical candlestick data, process ...
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