Institutional Digital Asset Research

Verifiable research process, disciplined risk control, and institutional-grade crypto strategy access.

PureGamma Research builds cross-market, cross-horizon digital asset portfolios through structured signal research, controlled execution, and transparent review materials for qualified partners.

PG LLM RESEARCH ENGINE MARKET DATA flow · depth · macro RESEARCH notes · regimes LLM agent mesh RISK limits · stress OUTPUTS briefs · signals continuous research loop · explainable signals · governed execution
2017 Operating history
Multi-Horizon Research engine
Monthly Risk review cadence

About PG Research

We operate across digital assets, derivatives, and structured portfolios, with research and engineering as core advantages.

Market Microstructure

We monitor order flow, depth, funding, and on-chain behavior to detect structural dislocations and liquidity pulses.

Hedging Framework

We manage drawdowns with basis trades, cross-asset hedges, and volatility strategies to build layered defenses.

Research-Driven Iteration

Experimentation, post-trade review, and deployment form a closed loop to sustain long-term edge.

Institutional Trust Stack

A clearer due-diligence path for partners who need process evidence, operational boundaries, and risk governance before allocation or API integration.

Diligence Package

What qualified partners can verify

  • 01Strategy memo

    Universe, signal taxonomy, portfolio constraints, and risk assumptions.

  • 02Performance review

    Net value methodology, drawdown review, and monthly attribution notes.

  • 03Operational boundary

    SMA/API access model, custody separation, execution venues, and reporting cadence.

  • 04Research archive

    Model notes, post-trade reviews, and market regime commentary.

Governance

Risk first, not return marketing

Public pages avoid unsupported return claims. Full performance data is shared with qualified partners alongside risk disclosures.

Verification

Evidence-based review trail

Strategy updates are tied to research notes, risk reviews, and documented assumptions instead of informal screenshots.

Access

SMA and API-native collaboration

Partner structures can separate custody, execution, and reporting so institutional users keep clearer operating control.

Disclosure

Clear suitability boundary

Digital asset strategies are high risk. Materials are informational and not a retail investment recommendation.

Strategy System

From multi-scale signal fusion to portfolio construction, we target stable risk-adjusted returns.

Signal Generation
Multi-Scale CWT + LSTM/ARIMA

Wavelet decomposition isolates noise, while statistical models and deep networks capture trends and sentiment shifts.

Signal Fusion
Dynamic Weights + RSI Thresholds

Signals are blended across horizons, with momentum filters reducing false triggers.

Portfolio Management
Cointegration Filters & Layered Hedges

Cross-asset portfolios are monitored for cointegration drift and dynamically re-hedged.

Research Desk

A sustainable content system for market views, model notes, and institutional updates.

Tail Risk Research

Pre-asymptotic inference, epistemic fat tails, and model fragility.

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.

Pre-asymptotic review Epistemic tail exposure Convexity and ruin filters
Model Lab

Wavelet + LSTM + ARIMA Fusion Framework

Reduce order-flow noise, separate trend and volatility, and improve signal stability.

Read the paper
Risk Review

Attribution and Drawdown Notes

Package monthly net value, drawdown context, hedge behavior, and execution quality into a repeatable partner update.

Request sample update
Framework

Team, Strategy, and Research Framework

Background, process, portfolio construction, and partner access pathways.

Open DocSend
Repository

Machine Learning for Structured Data

Feature engineering, model selection, and interpretability for structured datasets.

View repository

Research Methodology

Investment is a repeatable process: observe, hypothesize, validate, review, and execute.

Observation & Hypothesis

Build testable hypotheses around order flow, on-chain behavior, and macro variables.

Validation & Evaluation

Backtests and scenario stress tests assess robustness and limits.

Execution & Review

Real-time monitoring with risk thresholds and structured post-trade reviews.

Strategic Partners

Infrastructure and liquidity partners across exchanges, brokers, and trading venues.

LI.FI logo
Binance logo
Bybit logo
BitMEX logo
Deribit logo
Coinbase logo
Interactive Brokers logo
AWS logo
Visa logo
NVIDIA logo
Tiger Brokers logo
LI.FI logo
Binance logo
Bybit logo
BitMEX logo
Deribit logo
Coinbase logo
Interactive Brokers logo
AWS logo
Visa logo
NVIDIA logo
Tiger Brokers logo

Net Value Curve

Latest NAV 2.5073
Cumulative +150.72%
Max Drawdown -9.42%
Generated from pg_复合策略.xlsx. Historical performance is not indicative of future results.
Available by Request Net Value Report

Monthly performance pack with calculation basis, fee assumptions, and benchmark context.

Risk Review Drawdown & Exposure

Maximum drawdown, exposure bands, hedge contribution, and stress-period commentary.

Data Trail Execution Evidence

Exchange/broker reporting, SMA/API account boundaries, and post-trade review notes where applicable.

Disclosure Suitability First

Past performance is not indicative of future results. Digital asset strategies may lose substantial value.

Support & Consultation

打赏 / Support

Support independent research

For readers who value the research and want to make a small contribution through a hosted checkout flow.

咨询 / Consultation

Book a research consultation

For founders, funds, and infrastructure partners who want a structured discussion on signals, portfolio construction, or partnership fit.

Institutional Contact

For SMA/API partnerships, diligence materials, consultation scheduling, or research collaboration, send a complete message and the team will respond shortly.

BP Partnerships: haoran@pgresearch.org LP / Consultation: chris@pgresearch.org
This website is for informational purposes only and does not constitute investment advice or an offer. Digital asset trading involves substantial risk; past performance is not indicative of future results.