A Refined Focus

Clarifying the Mission and Announcing an Exclusive Focus on Institutional Desks

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Eleven months ago, Striketarget News published an article titled, “AI Helps You Trade More Effectively,” presenting the premise that AI can provide data-driven insights to help traders cultivate a disciplined approach.

That foundational belief remains intact, but its application has become more precise. Striketarget is now defined by an exclusive mandate: to serve institutional trading desks, hedge funds, and proprietary trading firms.

This is not a pivot but a strategic clarification. The problem at the heart of Striketarget’s mission — mitigating unforced errors through systematic discipline — is one that institutional clients are uniquely mandated to address and best positioned to leverage.

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From “Effectiveness” to “Error Reduction”

Conversations with professional traders have consistently reinforced a thesis long supported by behavioral finance research: the most damaging losses in discretionary trading rarely stem from a lack of alpha or advanced tools. Instead, they are the result of preventable, unforced errors.

These subtle mistakes, rooted in cognitive biases, have been documented extensively in the work of researchers such as Barber and Odean.¹ They are not merely personal failings but statistically predictable patterns that erode capital over time.

Although these challenges exist for all traders, institutional desks experience their effects at scale and possess the organizational structure to address them with rigor.

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The Virtuous Finance Approach

Striketarget’s product development is guided by the Virtuous Finance approach — an operating principle inspired by Buddhist teachings in which virtue serves as a safeguard against unskillful mental tendencies, often rooted in greed and fear, that lead to costly errors.

Within this framework, AI’s principal role in trading is not to identify the next opportunity, but to construct a defensive architecture against destructive instincts. The goal is to create AI-augmented systems of discipline, not merely tools for “effectiveness.”

Accordingly, Striketarget AI agents are designed to:

• Systematically filter opportunities using a desk’s pre-defined, rational criteria.
• Enforce risk and exit parameters established prior to trade execution, insulating decision-making from emotional interference.
• Enhance human discernment by organizing and clarifying information without replacing judgment with opaque algorithms.

This disciplined, systematic orientation toward error reduction aligns directly with the priorities of institutional clients.

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Commitment to a Singular Audience

Serving both retail and institutional audiences inevitably requires compromise. The tools, integration depth, and support structures needed by a professional desk differ fundamentally from those required by individual traders.

An exclusive focus on the institutional environment enables the creation of a more powerful, cohesive, and uncompromising application suite. This strategic direction maximizes the ability to address the multi-million-dollar problem of unforced errors with the level of rigor and discipline expected in professional trading environments.

This refinement represents the logical next step in Striketarget’s evolution, ensuring that the platform is optimized for the clients best equipped to leverage it.

Institutional inquiries: partners@striketarget.ai.

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References

¹ Barber, B. M., & Odean, T. (2000). Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. The Journal of Finance, 55(2), 773–806. https://faculty.haas.berkeley.edu/odean/papers%20current%20versions/online%20rfs.pdf and Odean, T. (1998). Are Investors Reluctant to Realize Their Losses? The Journal of Finance, 53(5), 1775–1798. https://faculty.haas.berkeley.edu/odean/papers%20current%20versions/areinvestorsreluctant.pdf