With the launch of StockHero Version 4, we are proud to unveil an entirely new family of AI-powered trading strategies: the Pi Models. Designed from the ground up to maximize profit retention, reduce unnecessary drawdowns, and intelligently avoid unfavorable market conditions, the Pi Models represent one of the most significant advancements in StockHero’s strategy framework to date.
A Year in Development and Built for Real-World Resilience
The Pi Models are the product of nearly 12 months of development, backtesting, iteration, and real-world validation. Unlike conventional rule-based trading strategies that rely on fixed indicators, the Pi Models use an adaptive learning framework trained on years of multi-dimensional market data.
Supporting the Pi architecture requires enormous computational resources. Hence, the models are only feasible with the new high-performance engine in StockHero Version 4. The upgraded infrastructure delivers the extremely fast processing and data-handling capabilities needed to support real-time inference for advanced AI models.
A Different Kind of AI Strategy: Built to Stand Down in Bad Conditions
Many automated trading strategies, especially short-term systems, continue to trade through periods of heightened volatility. This often leads to unnecessary losses or erosion of earlier gains. The Pi Models were created to solve this exact weakness.
The Pi framework is designed with a core principle:
An all-weather strategy that knows when not to trade.
During stress periods, the model’s volatility and risk filters become highly restrictive, often resulting in no trades for days or even weeks. This may seem counterintuitive to active traders, but it is a key reason the Pi Models retain performance even during turbulent months.
The bots running Pi2 and Pi3 during the volatile month of end October to November 2025 executed almost no trades, preserving the gains accumulated in previous months. This is a deliberate and desirable outcome, not a limitation.
The Pi Family: Pi2 and Pi3 at Launch
At launch, StockHero will introduce two models:
Pi2 – Low Risk
– Designed for conservative users
– Focuses heavily on loss avoidance
– Trades infrequently
– Suitable for users prioritizing portfolio stability
Pi3 – Balanced Risk-Reward
– A balanced, medium-risk model
– Stronger tolerance for volatility
– Trades more actively than Pi2
Internal projections suggest that Pi3 will be the most popular among users due to its balanced approach.
Performance Snapshot: Pi3 Results (From June 2025 to Jan 17, 2026)
As observed below, Pi3 excels particularly with high-volatility symbols like MARA and TQQQ, generating both strong APY and high win rates. This demonstrates how the model benefits from volatility only when conditions are favorable.
| Symbol | Win/Loss | APY | Trades | November Volatility | Sharpe Ratio |
|---|---|---|---|---|---|
| MARA | 100% | 130.69% | ~100 | No trade | 4.67 |
| XLU | 100% | 30.43% | ~30 | No trade | 5.66 |
| TSLA | 100% | 61.16% | ~50 | No trade | 2.75 |
| TQQQ | 100% | 110.79% | ~100 | 2 profitable trades | 6.35 |
| QLD | 92.31% | 17.40% | ~30 | 1 loss trade | 0.41 |
| ORCL | 90.91% | 18.96% | ~30 | 1 loss trade | 0.15 |
| OKLO | 95.65% | 81.83% | ~60 | 1 profitable trade | 0.55 |
| GOOGL | 100% | 83.62% | ~50 | 2 profitable trades | 10.44 |
| ARKK | 93.75% | 24.71% | ~40 | No trade | 0.23 |
| AI | 100% | 69.47% | ~40 | 1 profitable trade | 4.98 |
(Snapshot of performance was taken on Jan 17, 2026)
The data highlights two key observations:
1) Volatile stocks generate the strongest performance, provided conditions meet Pi3’s entry thresholds. E.g. MARA and TQQQ generate close to 100 trades due to their volatility and were able to produce a higher Sharpe Ratio than the rest.
2) The model prioritizes capital preservation, as shown by the lack of trades during November’s instability.
Who Should Use the Pi Models?
The Pi strategies are ideal for users who:
1) Prefer profit retention over frequent trading
2) Accept that long periods of inactivity are expected
3) Want an AI-driven model that aims to avoid high-risk environments
4) Seek controlled exposure to volatile symbols
If you are accustomed to the faster-paced Sigma Series or Scalping strategies, the Pi Models will feel different, and may not be suitable for you. Sigma strategies are built for frequency. Pi strategies are built for protection, precision, and long-term compounding.
Conclusion
The Pi Models mark a major evolution in StockHero’s strategy ecosystem. By integrating advanced AI decision systems, dynamic volatility filters, and long-term profit retention mechanisms, the Pi family offers a highly disciplined trading approach suitable for modern market conditions.
With Pi2 and Pi3 available at launch, and Pi4 (highest risk) in development, StockHero users now have access to a next-generation suite of AI stock trading bots built for resilience, intelligence, and sustainable performance.
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.
