About Cycla Quant Capital
Cycla Quant Capital is a research-driven trading and investment firm building advanced quantitative systems inspired by physics, mathematics, and data science. Our work centers on Spectral Memory Field Theory (SMFT)—a proprietary research framework grounded in the Akiymo action—that models how information, memory, and structure propagate through markets. We translate this theory into practical tools for market analysis, strategy testing, and signal generation across multiple asset classes.
Why We Exist
Markets are complex information fields. Useful signals are faint, transient, and often entangled across timeframes. We build methods that make those dynamics measurable, testable, and actionable—without hype, with transparency of assumptions, and with engineering discipline.
The Spectra Platform
- Research: rapid hypothesis testing, synthetic checks, regime detection
- Indicators: SMFT Oscillator, adaptive hysteresis bands, variable-alpha EMA
- Screening: cross-asset, multi-timeframe scans for alignment states
- Execution: relay-based order routing with deterministic behaviors
- Telemetry: live logs, P/L heads-up displays, audit-ready tracking
The SMFT Approach
SMFT treats price as a projection of an underlying spectral-memory field. The Akiymo action formalizes how memory interacts with new information to produce present dynamics. The result is indicators that adapt their effective memory length, respect regime changes, and reduce overfitting by construction. Every transformation is testable and documented.
Research Principles
- First-principles modeling before heuristics
- Out-of-sample validation and walk-forward discipline
- Latency-aware designs that preserve signal intent
- Separation between research, production, and execution policy
- Human-in-the-loop controls with explicit fail-safes
Status
This is only the beginning. Cycla Quant Capital is currently in development, with investor and member access coming soon.
Contact
General inquiries: [email / form] • Partnerships: [email / form] • Press: [email / form]
Disclaimer: For educational and research purposes only; not investment advice. Trading involves risk, including loss of principal. Past performance is not indicative of future results.