Approach
Discretionary Insight.
Systematic Execution.
Highmoon is developing an investment approach that combines discretionary market judgment with quantitative research and systematic execution.
Research and Trade Selection.
Company fundamentals, price action, and investor behavior inform our discretionary research. We examine a potential trade through its thesis, market context, and the conditions that would invalidate it.
Our initial research universe is US equities. We are developing quantitative methods to evaluate selected setups across market conditions and determine which elements can be expressed as systematic rules.
Strategy Development
Quantitative Testing.
Defined Risk Parameters.
The framework under development specifies entry signals, position sizing, exit criteria, and portfolio exposure limits. Evaluation will consider transaction costs, slippage, drawdowns, and sensitivity to changing market conditions.
Current implementation work includes charting, market-data integration, and trade-review tools. Algorithmic strategies are being prepared for simulation and paper trading; live systematic execution has not yet been established.
Technology and Oversight
AI-Assisted Research
and Development.
AI assists with software development, the organization of research ideas, and translating trading concepts into code. Lumine directs the investment approach and reviews the resulting models, assumptions, and implementation.
The objective is a repeatable process with explicit rules and traceable decisions. Strategy validation and risk review remain necessary as the system develops.