kquantbeta
RU Open laboratory

STRATEGY INTELLIGENCE SYSTEM

From a trading idea
to an informed
decision.

Research crypto strategies, test their resilience and observe execution. Rules, data and results stay in one system.

FROM IDEA TO EVIDENCE / 02

Find a region of
stable settings.

Compare nearby parameter values. One successful combination does not show that an idea will survive a changing market.

FROM IDEA TO EVIDENCE / 03

Test the idea
on unseen data.

Reserve part of the history before selecting conditions. If the result disappears there, revisit the hypothesis.

FROM IDEA TO EVIDENCE / 04

Observe.
Without live orders.

Simulation applies the same rules to current markets. Review signals, trades and risk limits before considering live execution.

Start for free Explore an example

Research without a trading key. Live orders are your separate decision.

kquantIllustrative example
STRATEGY PASSPORT / 01

Follow the trend

BTC/ USDT · 1h
ENTRY

EMA 50 ↗ EMA 200

Fast moving average crosses above the slow average
TREND FILTERADX > 22
PROTECTIVE EXIT1.8 × ATR

The rule is defined.
Now it needs evidence.

02 / PARAMETER SEARCH

Look beyond a single point

Find a stable regionIllustrative schema

Horizontal: EMA period. Vertical: ADX threshold. The light region illustrates stability across nearby settings, not measured returns.

Compare results and drawdown across the selected region.

03 / INDEPENDENT VALIDATION

Separate selection from testing

Select conditionsUnseen data
01

Rules fixed before testing

02

Fees and slippage included

03

Losses and drawdown visible in the report

A validation diagram, not a claim about strategy returns.

04 / SIMULATION

From signal to event log

  1. EMA 50 ↗ EMA 200Entry condition met
  2. ADX > 22Trend filter checked
  3. 1.8 × ATRProtective exit defined
  4. Simulated tradeNo live order is sent
AVAILABLE IN BETACrypto marketsOne or multiple assetsHistory and SimulationExchange integrations ↗
01ONE STRATEGY. THE WHOLE JOURNEY.

Every result
has a reason.

Start with a clear hypothesis, such as a moving-average crossover. kquant keeps the conditions next to the result so you can understand what produced it.

  1. 01

    Define the rule

    Set entry, exit and risk rules before looking at the result.

  2. 02

    Test on history

    Inspect trades, drawdown and results after costs.

  3. 03

    Challenge the result

    Test other parameters, periods and unseen data.

  4. 04

    Observe in Simulation

    The same logic on current markets, without real orders.

INSIDE KQUANTHistorical report · separate interface example
kquant report: result metrics, capital chart and saved strategy conditions
Interface capture with illustrative values. This uses different conditions; it is not the result of the teaching rule above or a verified performance claim. Open to inspect the report.
02SEARCH AND SELECTION

Compare ideas.
Keep the reasons for your choice.

Start with your own rule or define an automated search: signals, periods and risk limits. Compare candidates by drawdown, costs and trade count as well as returns.

How automated search works
01

Define the boundaries

Specify which conditions and parameter values the search may explore.

02

Compare nearby settings

Check how much the result changes when parameters move slightly.

03

Account for every attempt

More trials make chance success easier to find. Keep the search history for later validation.

About parameter selection
03CHALLENGE THE EVIDENCE

A beautiful chart
is not enough.

After selection, find out whether the idea survives different conditions. A failed test is useful too: it lets you stop before taking real risk.

How validation works
Find a stable regionIllustrative schema

Horizontal: EMA period. Vertical: ADX threshold. The light region illustrates stability across nearby settings, not measured returns.

01

Unseen data

Does the result hold on a period that was not used for selection?

02

Nearby parameters

Does a region work, or only one lucky combination?

03

Higher trading costs

What remains when fees and slippage increase?

Example: validation failed

The result disappeared on unseen data. Revisit the hypothesis before moving to execution.

STRATEGY PASSPORTIllustrative schema

Follow the trend

BTC / USDT · 1h · EMA + ADX + ATR

Rules
Entry · filter · exit
Assumptions
Data · costs
Validation
Periods · parameters
Execution
Events · trades · reconciliation
One decision history
04KEEP THE CONTEXT

Keep the result.
And the reason behind it.

The Passport connects strategy logic, assumptions, validation and execution events. Return to the research knowing what you tested and why you made the decision.

Explore the Strategy Passport
05TWO SCALES OF RESEARCH

One asset.
Or a whole portfolio.

BitcoinBTC / USDT

Single-asset strategy

Build entry and exit conditions for one instrument. Explore when the rule works and when it stops working.

Explore a trading rule
06CONTROLLED EXECUTION

The next step
is your decision.

Observe in Simulation first. Available live execution requires a separate exchange connection, your capital, configured limits and a pre-launch check.

Security and controls
01

No withdrawal permission

The access key does not require withdrawal permission.

02

Limits before launch

Position size and loss limits are configured in advance.

03

History and reconciliation

Signals and fills are recorded for comparison with the exchange.

07CLEAR TERMS

Start
with research.

No fixed subscription. Explore the system and test your hypothesis before deciding on live trading.

Open beta

Each month includes 100 USDT of virtual credit for service fees. This is not trading capital: it cannot be topped up or withdrawn.

Research and SimulationNo subscription
10%

of the positive result of each closed live trade

Calendar month cap100 USDT

No service fee on flat or losing trades. Exchange fees are separate.

How fees are calculated
08BEFORE YOU START

A few more
questions?

Talk to the team
Do I need to code?

The Laboratory does not require code. Select conditions and parameters in the interface. You still need to understand the strategy and its risks.

Do I need an exchange key to start?

Historical research and Simulation do not require a trading key. Connecting an exchange is a separate step for live execution.

What happens after registration?

Verify your email, open the Laboratory, and choose an asset and conditions. Your first result shows trades, costs and changes in capital. Registration does not start live trading.

Does a successful test guarantee profit?

No. Historical and statistical tests describe past data and resilience to specific challenges. Future markets can produce losses. Simulation follows historical testing; live execution is a separate decision.

How does beta billing work?

Research is available without a subscription. At the start of each UTC month, the internal wallet receives 100 USDT in virtual beta credit for service fees. This credit cannot be topped up or withdrawn. Live trade fee rules are explained on the pricing page.

TURN AN IDEA INTO RESEARCH

Test your
next idea.

Open the Laboratory

Historical results do not guarantee future performance.