Skip to main content

Overview

This guide is for traders — people who want to deploy verified strategies from the ClyptQ marketplace without writing code. It covers how to evaluate strategies, deploy them safely, and manage risk.

Why ClyptQ for Traders?

Strategy Evaluation

What metrics to look for

Every marketplace strategy shows independently verified metrics. All core metrics are annualized and standardized for consistent comparison across strategies:
Required Metrics: Every listing must display Total Return (cumulative), Maximum Drawdown (MDD), and Sharpe Ratio — all computed by the platform. Sharpe requires explicit periods_per_year or timeframe parameter.
Return Metrics: Risk Metrics: Trust Metrics (ClyptQ-Specific):

Cross-exchange validation

The platform tests every strategy on exchanges the builder never saw, producing a consistency score that reveals how well the strategy generalizes across venues. Look for high consistency and minimal gap between primary and cross-exchange performance.

Multi-scale backtesting

Every listing includes multi-scale backtest results across different time windows, so you can see how the strategy performs across varying market conditions.

Marketplace Validation

Full details on cross-exchange validation, consistency scoring, and how to interpret verification results

Deployment

After purchasing a strategy, you deploy it from the dashboard — not from notebook cells. Paper and live trading are managed entirely through the platform UI.

Step 1: Paper Trading

Paper trading uses live data with simulated fills. No real money at risk. Start a paper run from the dashboard by selecting the purchased strategy and clicking Paper Trade. What happens:
  1. Historical warmup fills all operator buffers with past data
  2. Clock syncs to the next real-time bar boundary
  3. Live data arrives via WebSocket from the exchange
  4. Orders are executed with simulated fills (same fill model as backtest)
What to verify:
  • Does paper equity roughly match backtest predictions for similar conditions?
  • Are signals generating at expected frequency?
  • Is latency acceptable for your timeframe?

Step 2: Live Trading

If paper results match expectations, switch to live from the dashboard. Connect your exchange API credentials and allocate capital.

Step 3: Monitoring

Track key metrics during live trading via the dashboard. The platform shows real-time equity, drawdown, trade frequency, and latency.

Safety Features

Pricing

Strategy Purchase

Strategies are purchased with a one-time fee set by the builder. The platform takes a commission based on the builder’s seller tier:

Platform Subscription

Running strategies (paper or live) requires a platform subscription:

Common Questions

What if a strategy loses money? The strategy purchase is a one-time fee — there are no ongoing charges tied to performance. You can stop a strategy at any time via the dashboard — emergency shutdown closes all positions immediately. Can I modify a strategy? Traders can adjust risk parameters (capital allocation, max leverage) but not strategy logic. The graph is the builder’s intellectual property. Can I run multiple strategies? Yes. The number of strategies you can run concurrently depends on your platform subscription tier. Each strategy runs independently with its own account and risk parameters. How do I verify performance? All metrics are independently computed by the platform. You can also run your own backtest on the strategy’s listing page before purchasing. What if data disconnects? The driver automatically reconnects WebSocket feeds. If a gap is detected during reconnection, it fills from historical data (gap-fill warmup).

Marketplace

How strategy verification and cross-exchange validation works

Supported Exchanges

Exchange matrix with fees, leverage, and data availability

Backtesting Accuracy

How ClyptQ ensures backtest results are realistic

Code Parity

Why backtest = live and what it means for trust