February 2026 was yet another eventful month for global stock markets, marked by heightened volatility (not to mention the US-Iran war commencing on the last day of the month), sharp intraday swings, and several macro-driven catalysts that challenged both discretionary and automated traders. Despite these difficulties, StockHero users saw strong results across many of our trading strategies – particularly the Sigma Series and strategies designed to thrive in rapid-moving markets.

With the continued rollout and adoption of StockHero Version 4, traders also benefited greatly from newer features such as the Stock Performance Indicator and Market Intelligence, which played a pivotal role in improving stock selection for many users.

Note: this article does not cover the latest Agentic AI Pi2 and Pi3 trading strategies. Please read this blog that covers the Pi2 and Pi3 performance.

Sigma Series Shines Again Amid Market Volatility

The Sigma Series – StockHero’s flagship lineup of momentum-driven algorithms – posted another impressive month. Collectively, the Sigma strategies delivered an average win rate of about 93% in February, helping users navigate the month’s enhanced volatility with confidence and consistency. This performance aligns with the Sigma Series’ design philosophy: prioritizing high-probability setups, intelligent trend detection, and disciplined trade management to withstand all types of market conditions.

Among the Sigma family, Sigma Series Alpha Bull was the standout performer of February 2026. The strategy once again demonstrated exceptional resilience and precision despite turbulent price action. Designed to capitalize on upward momentum while maintaining controlled risk parameters, Sigma Series Alpha Bull’s performance reinforced its reputation as a top-tier option for traders seeking growth-oriented strategies without overly aggressive behaviour. Its ability to adapt quickly to volatile intraday trends allowed it to outperform even other Sigma strategies this month.

Stock Performance Indicator – A Game Changer for Stock Selection

One of the most impactful enhancements introduced in StockHero Version 4 is the Stock Performance Indicator – a feature that displays the historical performance of each stock traded under specific strategies, based on live trades.

This data-driven insight has proven invaluable for users when selecting which stocks to deploy for each strategy. By highlighting which stocks historically produce stronger results for a given strategy, the Stock Performance Indicator enables users to make smarter, higher-probability decisions. Compared to last November’s extreme volatility – where stock selection often made the difference between a winning and losing month – users who adopted this new feature saw noticeably improved outcomes in February.

Feedback from the community reflects that traders felt more confident selecting compatible stocks, especially when volatility spiked. Many users who previously struggled with inconsistent stock selection found that relying on the Stock Performance Indicator significantly improved their overall win rates. Many users also enhanced their stock selection process by verifying that the chosen stocks aligned with strong macro-fundamentals, using insights from StockHero’s new Market Intelligence feature.

Gamma MAX – Designed for High Volatility, Delivering as Expected

February’s volatility also created the perfect environment for StockHero’s high-frequency strategies, particularly Gamma MAX. Engineered specifically for high-volatility, rapid-movement conditions, Gamma MAX thrives when markets become erratic.

Users who deployed the strategy in February achieved an impressive win rate, consistent with its intended design. Gamma MAX operates by capturing short bursts of price movement, allowing it to exploit intraday volatility more effectively than traditional trend-following strategies. For users who enjoy fast-paced trading with the potential for higher returns, Gamma MAX continues to be a popular choice – especially in months like February where macro conditions favor scalping-oriented stock trading strategies.

Continued Strong Performance Across the Strategy Ecosystem

Beyond the Sigma Series and Gamma MAX, many of StockHero’s strategies remained robust in February. High-frequency scalping strategies such as Ultra Scalp, Ultra Scalp MAX, and Ultra Scalp MAX 100 continued to perform steadily, benefitting from February’s sharp bursts in price action. Meanwhile, more balanced strategies like Market Neutral Aggressive maintained solid consistency, providing traders with diversified options regardless of risk appetite.

Check out the strategies’ performance in the table below.

Stock Trading Bots Performance for February 2026

February 2026 highlighted StockHero’s ongoing commitment to developing resilient, adaptable automated trading algorithms that empower users even in challenging market environments. The Sigma Series once again demonstrated excellence with a collective ~93% win rate, while the new Stock Performance Indicator contributed significantly to improved outcomes for many traders.

As markets continue evolving, StockHero remains dedicated to delivering cutting-edge tools and strategies that stand strong through all conditions.

Read more about our latest Agentic AI Pi2 and Pi3 strategies >>

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.