Risk first, not return marketing
Public pages avoid unsupported return claims. Full performance data is shared with qualified partners alongside risk disclosures.
PureGamma Research
PureGamma Research builds cross-market, cross-horizon digital asset portfolios through structured signal research, controlled execution, and transparent review materials for qualified partners.
We operate across digital assets, derivatives, and structured portfolios, with research and engineering as core advantages.
We monitor order flow, depth, funding, and on-chain behavior to detect structural dislocations and liquidity pulses.
We manage drawdowns with basis trades, cross-asset hedges, and volatility strategies to build layered defenses.
Experimentation, post-trade review, and deployment form a closed loop to sustain long-term edge.
A clearer due-diligence path for partners who need process evidence, operational boundaries, and risk governance before allocation or API integration.
Universe, signal taxonomy, portfolio constraints, and risk assumptions.
Net value methodology, drawdown review, and monthly attribution notes.
SMA/API access model, custody separation, execution venues, and reporting cadence.
Model notes, post-trade reviews, and market regime commentary.
Public pages avoid unsupported return claims. Full performance data is shared with qualified partners alongside risk disclosures.
Strategy updates are tied to research notes, risk reviews, and documented assumptions instead of informal screenshots.
Partner structures can separate custody, execution, and reporting so institutional users keep clearer operating control.
Digital asset strategies are high risk. Materials are informational and not a retail investment recommendation.
From multi-scale signal fusion to portfolio construction, we target stable risk-adjusted returns.
Wavelet decomposition isolates noise, while statistical models and deep networks capture trends and sentiment shifts.
Signals are blended across horizons, with momentum filters reducing false triggers.
Cross-asset portfolios are monitored for cointegration drift and dynamically re-hedged.
A sustainable content system for market views, model notes, and institutional updates.
Inspired by Nassim Nicholas Taleb's work on uncertainty, this desk treats market evidence as incomplete before convergence, studies how model error compounds in fat-tailed domains, and reviews where normal assumptions understate downside exposure.
Reduce order-flow noise, separate trend and volatility, and improve signal stability.
Read the paperPackage monthly net value, drawdown context, hedge behavior, and execution quality into a repeatable partner update.
Request sample updateBackground, process, portfolio construction, and partner access pathways.
Open DocSendFeature engineering, model selection, and interpretability for structured datasets.
View repositoryInvestment is a repeatable process: observe, hypothesize, validate, review, and execute.
Build testable hypotheses around order flow, on-chain behavior, and macro variables.
Backtests and scenario stress tests assess robustness and limits.
Real-time monitoring with risk thresholds and structured post-trade reviews.
Monthly performance pack with calculation basis, fee assumptions, and benchmark context.
Maximum drawdown, exposure bands, hedge contribution, and stress-period commentary.
Exchange/broker reporting, SMA/API account boundaries, and post-trade review notes where applicable.
Past performance is not indicative of future results. Digital asset strategies may lose substantial value.
For readers who value the research and want to make a small contribution through a hosted checkout flow.
For founders, funds, and infrastructure partners who want a structured discussion on signals, portfolio construction, or partnership fit.
The hosted onramp entry is prepared for a future Stripe-generated redirect URL once the PG wallet/session configuration is finalized.
For SMA/API partnerships, diligence materials, consultation scheduling, or research collaboration, send a complete message and the team will respond shortly.