DocumentationGetting started

Quant Fun guide

Getting started

From your first sign-in to a funded strategy and a readable portfolio.

1. Set up your account

  1. Sign in with a verified email or a supported EVM or Solana wallet, then complete onboarding. A wallet used to sign in is not automatically the wallet that trades.
  2. Open Portfolio → Wallets. Set up the trading wallet required by your chosen strategy. Each venue or network has its own available balance; your total portfolio value is not spendable cash in every wallet.
  3. Use Add funds or Deposit and follow the displayed network, asset, address and minimum. Wait for the credited balance before allocating it.

2. Choose and subscribe

  1. Open Strategies and inspect the market, graph, execution venue, minimum capital, fees and published evidence. Backtests simulate a strategy; live fills show actual execution.
  2. Choose the supported assets in Dynamic Trading Universe. Use a fixed list or the available volume and market-cap rules. Removing an asset does not force existing positions to close.
  3. Select the trading wallet, enter the allocation, review the setup and subscribe. An allocation reserves a strategy budget; it does not move money between wallets. Follow the displayed readiness checks before expecting trades.

3. Follow your results

Portfolio shows positions, activity, balances and performance. Open Subscriptions to inspect a strategy, adjust its settings, or pause or stop it. Pausing and stopping do not themselves sell positions or move funds.

Realized P&L, open-position P&L and deposits are different. Check the selected venue and date range, and read the accounting details when comparing results. A missing history is not a zero return.

4. Build your own strategy

Open Studio, select a universe and connect Entry, Cancel and Exit paths. Save a draft, validate the graph and run the required matching backtest before publishing eligible strategies. It replays the whole recorded archive unless you cap it in the backtest settings. Review every AI proposal before applying it.