CRYPTO STRATEGY PLATFORM

Trade by your own rules.

Build your strategy, test it on historical data, and see how it behaves in paper trading. Connect your exchange when you're ready to go live.

Test, observe, and decide when your strategy is ready to run live.

Your funds stay in your own exchange account. QUANT does not custody trading funds.

QUANT / STRATEGY
Product preview · sample data

STRATEGY WORKSPACE

One strategy, from test to run

Sample backtest pathEXAMPLE

Illustrative path for the interface only. It does not show real market data or strategy performance.

EXPLORE

Historical data checks
Strategy trade records
Paper run status
Test the same strategy first, then observe it in paper trading.

BUILT TO BE CHECKED

See the process before you decide.

01

Market data checks

Data quality is checked before backtests so issues can be traced.

02

Isolated backtests

Backtests run in isolated containers with results you can inspect.

03

Paper trading

Observe a strategy with simulated funds before deciding what comes next.

ONE STRATEGY, EVERY STAGE

Follow your strategy from idea to run.

Rules, backtest records, and paper runs belong to the same path. At each step, you can inspect the evidence before moving on.

START HEREYour strategy
  1. 01BuildDefine trade conditions
  2. 02BacktestReview historical behavior
  3. 03Paper tradeObserve how it runs
  4. 04Go liveConnect your exchange when ready

CORE CAPABILITIES

Look closer at what matters.

Check the data and rules first, then inspect trade records, paper runs, and parameter comparisons.

01 / BACKTEST

Trace each backtest trade.

Review records and data quality to see how a strategy would have acted on historical market data.

Backtest checksILLUSTRATION
01Data quality
02Trade records
03Result comparison
02 / PAPER

Observe with simulated funds.

See whether your strategy behaves as intended before using live funds.

Market → Signal → Paper order → Record
03 / COMPARE

Compare settings, not one result.

Put backtest results side by side and find what needs more validation.

  1. 01
    BaselineOriginal settings
  2. 02
    CandidateOne parameter change
  3. 03
    ReviewCompare on the same basis
Different settings · Same basis
04 / BUILD

Make your rules explicit.

Set entry, exit, and risk conditions so your strategy has a clear logic.

Entry conditionExit condition
Explore all features

GETTING STARTED

Take your strategy one step at a time.

Start with a clear rule. Review each stage before you decide to continue.

  1. 01

    Choose or build

    Start from a template or set your own rules.

  2. 02

    Backtest

    Inspect data quality, trade records, and results.

  3. 03

    Paper trade

    Observe signals and behavior with simulated funds.

  4. 04

    Connect exchange

    Review access and risk settings, then decide if you want to run live.

Historical results help you understand behavior. They do not predict future results.

FUND SAFETY

You stay in control of your funds.

Your funds remain in the exchange account you connect. QUANT does not custody trading funds or provide withdrawals.

  1. 01

    Keep API key permissions limited

    Use an API key dedicated to trading and disable withdrawals, transfers, and other access you do not need. Available security checks depend on the exchange you connect.

  2. 02

    Review and control live trading

    Before going live, review your API key, allocation, and risk settings. You can stop a running strategy at any time.

API key permissions and risk controls can reduce some operational risks. Digital asset trading can still result in losses.

PRODUCT SHOWCASE

Follow one strategy and inspect each step.

Choose a stage to see what you can examine in the rules, backtest, and paper run.

Strategy inspector
Interactive preview · sample content

STAGES

Choose a stage to inspect its details.

STAGE 02 / BACKTEST

See what happened in historical data.

VALIDATE

Check data quality, trade records, and a result summary to spot what needs more attention.

01INPUTHistorical data
02ACTIONRun backtest
03CHECKTrade records

This is a product structure preview. It is not connected to an account and does not show live prices, real orders, or returns.

AI RESEARCH

Models help you compare. You decide.

Choose features and models, run training and validation, then inspect the results. AI is a research tool, not a promise of returns.

Explore the AI Lab
RESEARCH FLOW / ILLUSTRATION
  1. 01
    Choose featuresSelect inputs
  2. 02
    Choose a modelStart from available presets
  3. 03
    Run validationReview training and evaluation
  4. 04
    Compare resultsDecide whether to keep researching

PRODUCT CAPABILITIES

These numbers describe the product.

Exchange routes, model presets, and feature indicators are counted from current capabilities. They do not describe customers or trading results.

8Exchange Market Data Sources
Binance / OKX / Bybit / Kraken / Gate.io / KuCoin / Bitget / HTX
13ML Model Presets
LightGBM / XGBoost / CatBoost / PyTorch / Transformer / RL
30Built-in Feature Indicators
Trend / momentum / volatility / volume-price / perpetual funding & open interest

EXAMPLE WORKFLOW

How does one strategy reach paper trading?

Start with a clear condition, review historical triggers, then observe with simulated funds. You can inspect records at every step.

Illustrative product workflow, not a customer quote or real performance

  1. 01Define rules
  2. 02Review backtest
  3. 03Observe paper run

PLANS

Start testing, then choose the right scope.

See the pricing page for the latest access and amounts.

See full pricing
01

Free

Start free

Free
02

Pro

Live trading access

Price unavailable
03

ML

Machine learning research

Price unavailable

Subscriptions are unavailable

GET STARTED

Start with your first strategy.

Build or choose a strategy, backtest it, and decide what comes next.

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