Tag: Algo Trading

This paper shows how individual investors can profit from the volatility risk premium using VIX-linked ETNs. A dynamic strategy tested from 2008–2025 yields strong returns with low equity correlation. With proper tools, volatility trading is now accessible—but must be approached cautiously.

This study adapts trend-following strategies—rooted in traditional finance—to cryptocurrencies, using Donchian channel ensembles and volatility-based sizing. Applied to a rotational portfolio of top coins, the strategy delivers strong risk-adjusted returns, outperforming Bitcoin with notable alpha. It also addresses transaction costs and explores integration with traditional asset strategies, offering practical on- and off-chain implementation paths.

This study examines the profitability of a long-only trend-following portfolio across 48 industry sectors from 1926 to 2024. The analysis demonstrates the model’s effectiveness through its 18.5% average annual return, significantly outperforming the US equity market’s 9.7% return. The Timing Industry strategy not only offers higher returns but also reduced volatility and drawdowns, achieving a Sharpe Ratio of 1.46. We also analyze the performance using 31 sector ETFs over the past 20 years, confirming the strategy’s robustness and profitability even after accounting for trading costs.

This paper investigates a simple yet effective intraday momentum strategy for SPY, a highly liquid ETF tracking the S&P500. Unlike typical studies that limit trading to the last 30 minutes, our model initiates trades based on intraday demand/supply imbalances. Using techniques from active day traders and dynamic trailing stops, the strategy achieved a 1,985% total return (net of costs), 19.6% annualized return, and a 1.33 Sharpe Ratio from 2007 to early 2024. We analyze its performance across market volatility regimes, day-of-the-week effects, and compare it to other technical patterns, considering the impact of commissions and slippage.

This paper examines the effectiveness of the 5-minute Opening Range Breakout (ORB) strategy for day trading U.S. stocks, focusing on its performance from 2016 to 2023. It highlights the advantages of trading “Stocks in Play,” which are highly active due to significant news, demonstrating how they significantly outperform regular stocks. Our comprehensive analysis, the first of its kind, details the strategy’s returns across various time frames and provides specific data on the top and bottom 25 performers.

This paper explores the use of the Martingale system in financial scams, tracing the evolution of fraud from coin clipping to Ponzi schemes. It uses statistical analysis to show how these scams falsely promise high returns, aiming to help investors and regulators recognize and prevent such tactics.