Build language
Rust
Core bots engineered for speed, memory safety and stable long-running execution.
+ Pravial Automation
Your trading strategy, converted into a production-ready bot.
We take the logic you already trade manually and turn it into deterministic software: data inputs, signal rules, risk controls, broker integration, backtesting, live execution and a visual command panel.
+What You Get
Production-ready capability stack
Each deployment is engineered for measurable outcomes, not just feature delivery.
- +Strategy codification from technical, fundamental, news, sentiment, AI, scraping or hybrid logic.
- +Production bots written in Rust for reliability, speed and predictable execution behavior.
- +Backtesting suite for historical validation, parameter review, drawdown analysis and execution-cost assumptions.
- +Broker and venue connectivity for IBKR, Schwab/thinkorswim, MT4, MT5, Alpaca, Binance, Kraken, Uniswap and custom APIs.
- +Visual administration panel for strategy settings, live performance, reports, status and configuration.
- +Run locally, in your own cloud, or in Pravial-managed optimized infrastructure.
+Performance Lens
Execution and operating metrics
Representative benchmarks used to define architecture priorities and delivery standards.
Validation depth
10y+
Historical testing depth when market data coverage and strategy context allow it.
Execution venues
Any API
Broker, exchange, DEX, FIX and custom API integrations supported by scope.
+Implementation Focus
Built around engineering rigor and operational clarity
01
Strategy Translation
We convert human trading logic into formal rules, exception handling, parameter constraints and machine-executable workflows.
Signal rulesRisk logicEdge cases
02
Backtesting + Research
A testing layer to validate assumptions across regimes before connecting the strategy to live capital.
Walk-forward testsCost simulationRegime review
03
Live Operations Panel
A control interface for monitoring performance, changing parameters, pausing execution, reviewing orders and generating reports.
Live PnLSettingsAlerts
+Delivery Process
From manual process to automated execution
Structured execution cadence to minimize integration risk and maximize speed to value.
01
Strategy Specification
We document entries, exits, sizing, risk rules, filters, data inputs, broker requirements and forbidden behaviors.
02
Build + Backtest
We implement the bot, connect data, run historical tests and refine the control model before production.
03
Deploy + Monitor
The system goes live with dashboard controls, logs, alerts and support for controlled iteration.
+FAQ
Key questions before launch
Common points discussed during architecture and implementation planning.
+ Next Step