The first half of November 2025 has been marked by significant turbulence in the U.S. stock markets. Ongoing government shutdowns have disrupted critical economic data releases, leaving investors without the usual indicators they rely on to assess market health. At the same time, growing concerns about a potential “AI bubble” have added another layer of uncertainty, triggering sharp intraday swings and heightened risk aversion across sectors.
Against this challenging backdrop, StockHero’s stock trading bots have displayed notable resilience. While the elevated volatility resulted in more stop-loss triggers – a natural outcome of tighter price movements – users who deployed a balanced portfolio of complementary strategies generally fared far better than those relying on a single trading approach. Essentially, those stop-loss triggers, essential components of the bots’ risk-management framework, help prevent greater losses where many equities saw their values plummet by more than 20% to 30%.
The Sigma Series continued to anchor performance. Sigma Series Fast (93.62% all-time, 93.25% last 3 months) and Sigma Series Alpha (93.68% all-time, 94.77% last 3 months) once again delivered strong, stable results despite the market’s erratic behavior. Their bull variants, Sigma Series Fast Bull and Sigma Series Alpha Bull, also maintained high win rates above 93%, demonstrating robust adaptability even in short-lived upward trends.
Conservative and risk-adjusted strategies also contributed significantly to performance. The Swing Strategy (91.63% three-month win rate) remained one of the strongest performers, particularly for users seeking smoother equity curves during choppier sessions. Similarly, the Market Neutral (89.80%) and Market Neutral Aggressive (92.61%) strategies excelled as volatility increased, helping users buffer directional risks while still capturing steady gains.
Higher-frequency strategies, including Ultra Scalp, Ultra Scalp MAX, and Gamma MAX, saw mixed performance, reflecting the difficulty of operating in unpredictable intraday environments. Nonetheless, their all-time win rates — ranging from 76% to 82% — indicate that they remain valuable tools when included as part of a diversified bot mix rather than used in isolation.
Across the board, users running a well-diversified selection of bots — particularly combinations of Sigma Series, Swing Strategy, and Market Neutral strategies — saw equity curves that performed better than a standard buy-and-hold approach during the November volatility spike. This reinforces an important lesson: in uncertain markets, diversification across trading styles, risk levels, and time horizons is essential for maintaining long-term algorithmic performance.
As the market awaits clarity on fiscal developments and the true state of the economy, StockHero’s diversified suite of strategies continues to demonstrate its value in navigating even the most unpredictable conditions.
Disclaimer
Any information provided in this article is not intended to be a substitute for professional advice from a financial advisor, accountant, or attorney. You should always seek the advice of a professional before making any financial decisions. You should evaluate your investment objectives, risk tolerance, and financial situation before making any investment decisions. Please be aware that investing involves risk, and you should always do your own research before making any investment decisions.
Past performance is not indicative of future results. All investments and trading carry the risk of loss, and you should only invest/trade money that you can afford to lose. It is strongly recommended that you seek independent financial advice from a qualified professional before making any investment/trading decisions.
