Crypto Quantitative Research

Quant performance.
Verifiable. Visible.

From research hypotheses to live tracking, record results with verifiable data.
Understand every change with the full risk context.

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Continuous records · Clear methodology · Honest disclosure

COINQUANT / PERFORMANCE01

Live NAV · Data status

— USDT basis

Awaiting verified live data

LAST VALID VALUATIONNot published

CALCULATION METHOD5 MIN · ESTIMATED

01 /

Live and backtest results shown separatelyClear sources and sample boundaries

02 /

Returns and risks recorded togetherDrawdowns, costs and gaps disclosed

03 /

Every release is traceableOne version, consistent calculations

Live Performance

Read the data. Understand its limits.

Full live performance

Live data not connectedNo verified live performance published

Cumulative return ⓘ—Current independent series · After fees

Maximum drawdown ⓘ—Calculated from all samples

Recorded days—No verified interval published

Latest reference NAV—Independent series starts at 1.0000

NAV is estimated from USDT net assets after disclosed portfolio fees. Unverified values remain blank. Backtests and interface demos never populate the live summary.

Research Philosophy

Good quantitative research goes beyond a curve.
It must also withstand costs, risk and time.

Start with a testable hypothesis

Define the market, trading rules and conditions. Record parameters and code versions so results can be reproduced and challenged.

Explore research records

Read risk alongside returns

Read returns with drawdowns. Examine costs, liquidity, funding and actual exposure, retaining adverse periods and research limitations.

Explore our methodology

Connect research to live records

Reconcile account scope, external cash flows and accrued fees. Only complete, reviewed data enters a public release.

Understand live NAV methodology

Research Library

Research with a record. Results with a source.

All strategy research

Loading public research

Risk Comes First

Before assessing returns,
understand potential losses.

Quantitative methods discipline decisions but cannot eliminate market risk. Assess funding conditions, cost assumptions and failure scenarios alongside results.

Read the full risk disclosure

Market & leverage risk Volatility, liquidation and tail events
Liquidity & execution risk Slippage, capacity and fill differences
Model & sample risk Overfitting, selection bias and changing markets
Counterparty & operational risk Exchange, account, data and system disruptions

Start a Conversation

Bring your questions. Start a conversation.

Explore strategy logic, data methodology and cooperation terms before making an informed decision.