The Agentic API moves market data and strategies to powerful compute nodes. Smart Automation runs backtests, monitors risk, and delivers results — fully scheduled and automated. From parameter sweeps to regulatory reporting, every workflow runs unattended at near-zero ongoing cost.
Quantitative finance demands high-throughput computation, reliable data pipelines, and strict compliance automation. The Agentic API moves market data and strategy scripts to powerful compute nodes securely and at scale. Smart Automation orchestrates the full workflow — from parameter sweeps and walk-forward testing to risk monitoring and regulatory reporting — running on a schedule without manual intervention.
Moves datasets, strategy scripts, and configuration files to high-performance compute nodes. Retrieves results, reports, and signal files back to the orchestrator — no cloud egress, no open ports.
Writes backtesting pipelines, risk monitoring scripts, and reporting automation once. Runs them on schedule — weekly walk-forward tests, daily VaR calculations, nightly data aggregation — at zero ongoing token cost.
Parameter sweep: Smart Automation uploads a trading strategy with different parameter sets to multiple machines via Agentic API. Each machine runs a subset of the parameter space in parallel. Results are collected, merged, and ranked by Sharpe ratio automatically.
Walk-forward optimization: Smart Automation generates a walk-forward testing framework (writing phase); executes it on a high-CPU machine via Agentic API on a weekly basis as new market data arrives.
Cross-asset backtesting: Different machines handle different asset classes simultaneously. Smart Automation consolidates correlation matrices and portfolio-level metrics from all machines.
Smart Automation pulls pricing data from multiple broker APIs or data vendors on a schedule. Normalization scripts run on a central machine via Agentic API. Clean, timestamped OHLCV data is written to a local database for downstream analysis. Data gaps are detected and flagged automatically.
Smart Automation runs daily VaR (Value at Risk) and drawdown calculations on a compute node. Agentic API retrieves position files from trading systems and uploads them to the calculation engine. Results are compared against risk limits; breaches trigger immediate alerts. Weekly risk reports generated and distributed automatically.
Heavy feature engineering (technical indicators, sentiment scores) runs on a GPU machine via Agentic API. Smart Automation retrieves generated signal files and feeds them into a lightweight local execution layer. Zero-latency: signal files are pre-computed, the trading bot reads local files only.
Smart Automation generates a Playwright scraper to pull earnings reports, SEC filings, or analyst estimates. Multiple devices with different IPs rotate scraping duties to avoid rate limits. Data is normalized; a Gemini Flash summary highlights key changes versus prior period.
Smart Automation scrapes on-chain data, DEX prices, and liquidity metrics from multiple sources. Anti-bot challenges are handled via stealth Playwright scripts written in the setup phase. Daily execution runs at zero token cost; Gemini Flash summarizes significant market movements.
Smart Automation pulls trade records from internal systems via Agentic API. Applies regulatory formatting rules (MiFID II, EMIR) using pre-written transformation scripts. Generates submission-ready reports and deposits them in the designated compliance folder.
Every backtesting pipeline, risk calculation script, and regulatory report is generated once by Gemini Pro. Daily VaR runs, weekly walk-forward tests, nightly data aggregation, and reporting pipelines all execute at zero AI token cost — pure local computation via the Agentic API on a schedule defined by Smart Automation.
Sensitive clinical data stays on-premise. Agentic API provides scoped access to processing machines; Smart Automation orchestrates DICOM, HL7, and FHIR pipelines — fully compliant, no cloud exposure.
Distributed video rendering, overnight AI image generation, automated podcast production — Smart Automation fans work out to rendering machines via Agentic API and assembles the final output automatically.
awaBerry Anywhere is a zero-trust remote access platform that gets any device — cloud server, laptop, or SoC hardware — securely accessible from anywhere in minutes. No VPNs, no open inbound ports, no complex configuration or additional remote connection software. Works on any MAC - yes even an old Apple macbook from 2012. Works on any Ubuntu / Debian / Redhad based LINUX. Works on any Windows which supports the Windows Subsystem for Linux (WSL).
Flexible onboarding for any hardware — in any environment.
Full control and activation via the awaBerry web dashboard.
awaBerry Automation is the combination of two tightly integrated products that together form a complete, AI-native automation platform.
Uses the Google Gemini CLI to translate plain-English instructions into executable scripts — run on your local devices on a schedule. AI tokens are spent exactly once to generate the logic; every subsequent execution costs nothing.
Read more →Secure, zero-trust device access as-a-service. Exposes your registered devices to programmatic access via encrypted tunnels — grant AI agents, scripts, or collaborators precisely scoped access.
Read more →Fundamentally different: a complete, AI-native automation platform — across every device you own, anywhere in the world.
Read more →Automate operations, manage fleets, and enable secure remote work for your entire team.
Access your home devices, automate personal tasks, and share access with family — for free.
Access lab hardware, automate data collection, and collaborate across institutions.
From parameter sweeps to regulatory reporting — written once, running forever.