Potato

Potato ingests live market feeds from multiple exchanges (likely via WebSocket connections to broker APIs like Alpaca, Interactive Brokers, or crypto exchanges) and normalizes heterogeneous data formats into a unified internal schema for downstream analysis. This enables the platform to handle ticker updates, order book snapshots, and trade executions across asset classes with consistent latency and data integrity guarantees.

Potato allows users to define trading strategies as declarative rules (e.g., 'if RSI > 70 then sell 10% of position') without coding, likely using a visual rule builder or domain-specific language that compiles to executable logic. The engine evaluates conditions against real-time market data and executes corresponding actions (buy/sell orders) with configurable delays and order types, enabling non-technical traders to automate complex decision trees.

Potato enforces risk constraints at the position level through configurable parameters like maximum position size (as % of portfolio), stop-loss orders, and take-profit levels that automatically execute when triggered. The system likely maintains a position ledger that tracks open trades and prevents new orders from violating risk thresholds, reducing catastrophic losses from over-leveraging or runaway positions.

Potato provides a live dashboard that displays key performance metrics (P&L, win rate, Sharpe ratio, drawdown) and trade history with entry/exit prices, allowing traders to monitor strategy execution without manual spreadsheet tracking. The dashboard likely updates in real-time as trades execute and market prices move, using WebSocket connections to push updates to the frontend rather than polling.

Potato abstracts away individual broker APIs and allows users to connect multiple brokerage accounts (Alpaca, Interactive Brokers, crypto exchanges, etc.) and route orders through a unified interface. The platform likely maintains a broker adapter layer that translates Potato's internal order format to each broker's specific API requirements, handling authentication, order validation, and execution status tracking across heterogeneous systems.

Potato calculates a library of technical indicators (RSI, MACD, moving averages, Bollinger Bands, etc.) from real-time price data and generates trading signals when indicators cross predefined thresholds. The calculation engine likely uses efficient windowed algorithms to compute indicators incrementally as new price bars arrive, avoiding expensive full recalculations on every tick.

Potato offers a freemium model where users can define and test strategies using simulated (paper) trading without risking real capital. The paper trading engine simulates order execution against real market prices, allowing users to validate strategy logic and performance before enabling live trading with real money.