Machine Learning – Trading
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Introduction: Why Most Trading Strategies Fail? Most systematic trading strategies fail for one fundamental reason: they assume markets behave the same way all the time. Signals that work in calm, low volatility environments often collapse when volatility spikes, correlations shift, or macro forces dominate price action. Anyone who traded through 2020, 2022, or the post…
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This study examines the microstructure behavior of the BTC USDT market between 2025-11-27 and 2025-12-10, using 18,662 one-minute observations. The goal is to understand whether short-horizon order flow matters, whether prices revert toward VWAP, whether specific minutes of the day reliably outperform others, and whether the market transitions between identifiable trading regimes.
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This study aims to explore the innate nature of the rise of COVID-19 cases, and news coverage, in regard to context and sentiment, along with the financial metrics of the stock market ETFs that can represent a cluster of stocks within a given industry at any given time. This study uses Multivariate Time Series Analysis…
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Stock prices are impacted by an array of different factors that can affect movement of prices daily. It is essential to investors and traders to understand the volatility of the nature of the stock, before investing in it. In today’s markets, it is very common for different algorithms dictating the movement of prices, which are…
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Financial markets are doubtlessly one of the most complex structures in the known free market economy. Stock prices are impacted by an inherently complex mix of micro and macro-economic factors, henceforth the prediction of stock price movement has been a constant area of research in the industry. Hedge fund and mutual fund managers have to…