Simulate spot positions
Use a virtual portfolio to observe supported spot-pair quantities, orders, balances, and recurring entries.
Explore simulationConfigure scheduled crypto accumulation, spot-pair indicator strategies, or portfolio rebalancing with the amounts, assets, limits, and timing you choose.
The same spot-crypto scope can support different levels of strategy complexity.
Use a virtual portfolio to observe supported spot-pair quantities, orders, balances, and recurring entries.
Explore simulationCombine schedules, supported indicators, entry rules, position sizing, portfolio caps, and exits without coding.
Explore no-code botsUse Python strategy callbacks and services for supported spot pairs while retaining platform order and portfolio controls.
Explore PythonThese illustrative configurations show supported patterns, not preferred assets or expected outcomes.
Configure supported spot pairs and quantities using the market's base and quote relationship.
Evaluate configured rules in a market that is not limited to a weekday equity session.
Express a scheduled accumulation policy independently of a price-reactive signal.
Set user-defined allocation, position, and exposure boundaries around the strategy.
Current Investfly strategy scope is spot crypto and long-only. This page does not claim perpetual futures, margin, short selling, grid bots, or exchange-wide coverage.
Current crypto strategy workflows are for supported spot pairs and long-only activity. They do not represent perpetual futures, leverage, margin, or short-selling support.
Yes. You can configure a recurring schedule, supported spot pair or basket, allocation amount, and portfolio limit for a dollar-cost-averaging workflow you define.
Supported crypto strategies can be evaluated with historical backtests and virtual portfolios before any separate eligible account authorization. Modeled results do not predict live outcomes.
Both paths are available for supported spot-crypto strategies: visual configuration for common conditions and schedules, or Python for supported custom selection and signal logic.
Choose the pair, cadence, amount, limits, and monitoring rules—then test the configuration.
Examples are illustrative. Crypto trading involves substantial risk of loss.