PLATFORM / kquant ENGINE

A platform for researching and running crypto strategies.

Define a rule, backtest it with explicit costs, test robustness in Simulation and only then decide whether live execution is justified.

Open laboratory Explore the details ↓

READABLE STRATEGYready to test

DIRECTIONDonchian breakoutANDFILTERADX > 22ANDRISKATR stop

Interface schema · values are illustrative

SYSTEM DOMAIN01 / SYSTEM

One strategy object across the entire lifecycle

DISCOVER
OPTIMIZE
VALIDATE
RUN
OBSERVE

NEXT CLEAR ACTION

Start with one research record.

The product is easier to understand when the visitor sees one concrete object move through the workspace.

01Define the rule

02Run a cost-aware backtest

03Challenge the candidate

04Observe it forward

REAL PRODUCT STATE

The interface is the source of truth.

This is a recorded workspace state, not a decorative dashboard. Historical values are shown for orientation and do not predict future performance.

Open laboratory

kquant workspace dashboard with metrics and an equity chart — Workspace · demonstration application state

Define

Build readable long and short rules.

Measure

Backtest with explicit costs and event order.

Validate

Use holdout, DSR, PBO and walk-forward.

Execute

Move through simulation to controlled live trading.

DECISION FRAMEWORK

Does every stage still describe the same strategy?

Compare the rule version, parameter hash, data window and execution assumptions before interpreting metrics across stages.

Freeze a reproducible version

Keep provenance beside metrics

Advance only after an explicit verdict

OUTPUT

Strategy Passport

Important

Historical, statistical and model results do not promise future returns. kquant provides computational tools and technical execution, but does not assess whether a specific trade is suitable for a user.