AI‑Generated Strategies Ready for Live Markets

The engine ingests price, volume, and alternative data, then uses proprietary reinforcement learning to create trade signals. Teams can deploy these models directly, cutting development cycles from months to days. MarketCells offers a similar data‑driven approach but requires manual model tuning.

Business outcome: Faster time‑to‑market for new strategies translates into earlier revenue capture.

Cloud‑Scale Historical Simulations

Prospero runs multi‑asset backtests on petabyte‑scale datasets, producing detailed risk metrics. Users can compare dozens of variants side‑by‑side, ensuring robust validation before capital is deployed.

Business outcome: Reduces the risk of costly live‑trading errors by up to 30 % on average.

Smart Order Routing with Real‑Time Risk Guardrails

The platform connects to 12+ exchanges via low‑latency APIs and applies dynamic position limits, slippage controls, and stop‑loss automation. This safeguards portfolios during volatile spikes.

Business outcome: Protects capital during market stress, improving drawdown performance.

Automated Regulatory Alerts

Built‑in monitoring flags potential breaches of market‑making, short‑selling, and AML rules. Alerts are logged for audit trails, simplifying regulator reporting.

Business outcome: Cuts compliance overhead and lowers legal exposure.

Team Workspace with Version Control

Multiple analysts can co‑author strategies, with change history and rollback capabilities. This mirrors software development workflows, fostering cross‑functional innovation.

Business outcome: Accelerates collective knowledge sharing and reduces duplicated effort.

Performance Dashboard & AI Explainability

Live dashboards surface P&L, Sharpe, and factor exposure. Explainability tools break down why a model took a specific action, helping traders trust AI decisions.

Business outcome: Improves stakeholder confidence and supports data‑driven decision making.

• Rapid strategy generationAI creates viable signals without manual coding.
• Scalable backtestingCloud resources handle massive historical datasets.
• Built‑in complianceReal‑time alerts keep you within regulator limits.
• Collaboration toolsVersioned workspaces streamline team development.

• Cloud‑only deploymentNo on‑premise option for firms with strict data residency rules.
• Limited custom order typesAdvanced order logic (e.g., iceberg, TWAP) requires API workarounds.
• Learning curve for AI tuningNon‑technical traders may need training to interpret model outputs.
• Professional RealityIf you need full control over execution latency, a dedicated co‑location solution may be required.

Hedge fund alpha generation

A mid‑size hedge fund can spin up dozens of AI‑crafted strategies, backtest them overnight, and deploy the top performers instantly, boosting portfolio diversification without expanding the quant team. ArbitrageScanner offers a niche arbitrage focus, but Prospero’s broader asset coverage fits larger funds.

Retail investor automation

An experienced retail trader can subscribe to the Starter tier, use pre‑built bots, and automate daily trading without monitoring screens, freeing time for research.

FinTech product acceleration

A startup building a robo‑advisor can embed Prospero’s execution engine, delivering live trading capabilities without building a brokerage stack from scratch.

Risk‑aware compliance monitoring

Compliance teams can configure alerts for prohibited short‑selling or position limits, ensuring the firm stays audit‑ready while still leveraging AI strategies.

Sign up on Prospero.ai and connect your exchange API keys.

Choose a data feed and let the AI generate its first strategy.

Run a backtest, review the risk metrics, and adjust parameters if needed.

Deploy the strategy to live mode and monitor via the performance dashboard.