Simudyne Pulse

Simudyne Pulse generates synthetic exchange data through an agent-based market simulator. It suits quantitative researchers and trading developers building or evaluating financial models. Its free tier supports small experiments; custom simulations and broader testing are reserved for Pro.

Overview

PulseABM simulates HKEX and LSE markets, producing market data at millisecond resolution. Unlike general-purpose synthetic-data tools, Pulse is built for trading and market research: its stated uses include algorithm backtesting, market-impact measurement, pre-trade transaction-cost analysis, stress scenarios, and model training. Simudyne, founded in 2016 by simulation expert Justin Lyon, is headquartered in London.

Key features

Market data and simulation

Pulse provides synthetic order books, L1/L2/L3 quotes, depth, individual orders, trades, and order flow. FIX 4.4 connectivity and simulation speeds of up to 20× can suit teams that need to connect exchange-style workflows or accelerate runs. The data is designed for training trading agents and financial models, not as a general substitute for arbitrary business datasets.

Developer access

API access and a Python SDK support research and development workflows; the SDK returns simulation data as Polars DataFrames. Outputs are available in Parquet and ZIP formats, and deployment is cloud-based. The Pulse MCP server exposes market-data and backtesting tools to compatible assistants, including Cursor, Windsurf, VS Code with GitHub Copilot, Cline, and Zed.

API keys are displayed only once when created and can be revoked. Simudyne says it retains the key prefix rather than the full key, a useful security measure for teams managing credentials.

Pricing

Free is suited to exploring cached runs and testing a limited workflow. The rolling cap applies to new simulation groups; groups already downloaded can be fetched again at no charge. Pro is the option for custom jobs, wider scenario control, more Monte Carlo runs, and the listed trading-strategy tests. Contact Simudyne for Pro upgrades or requests for symbols and venues.

Platforms

Pulse is available through a web interface and API, with a Python SDK for programmatic work. Its deployment option is cloud.

Who it's for

Pulse is a focused choice for quantitative researchers, trading-system developers, and financial-model teams who need synthetic HKEX or LSE data for training, backtesting, or market analysis. It is less suitable for buyers seeking a broad synthetic-data platform for non-financial datasets, or for work requiring custom simulation jobs without Pro.

Pros and cons

• Market-specific detail: Millisecond-resolution simulations span order books, quotes, orders, and trades across HKEX and LSE, supporting varied trading research workflows.
• Useful development interfaces: API, Python SDK, FIX 4.4, and MCP integrations provide several ways to incorporate simulation into research and testing.
• Clear free-tier boundary: Cached simulations and repeat downloads are free, but only 3 new groups may be downloaded per rolling 24 hours and each group is capped at 10 Monte Carlo runs.
• Pro-dependent flexibility: Custom jobs, all six scenarios with custom parameters, validation results, and up to 100 runs per job require a custom-priced plan.
• Narrow exchange coverage: Pulse supports HKEX and LSE, so teams needing other venues should confirm availability before choosing it.

Alternatives

Browse synthetic data generation software to compare tools across the broader category.

• Synth Studio is a free alternative with up to 1M rows per generation under an MIT License; consider it when those terms and its listed platform coverage fit better than Pulse's exchange-specific simulations.
• SDV Enterprise offers a free SDV Community plan with five data types, five basic constraints, nine models, CSV and Excel support, and forum support. Choose it when those general data options better suit the task than market simulation.
• YData SDK has a free monthly credit, all features, and more than 20 connectors on its free plan. It may suit users who value connector breadth over Pulse's HKEX and LSE market scenarios.
• MOSTLY AI offers a free plan; consider it as another freemium synthetic-data option.
• NVIDIA ShadowPlay is a free Windows app with GeForce GPU and driver requirements, rather than a market-data simulator.
• SynthEngyne offers monthly free credits for text, tabular, time-series, and image generation; consider it when those data types better match your needs.
• Synthetic AI Data offers a free plan and API, self-hosted, and web platforms; consider it as another freemium option.
• SynthForge IO is another freemium API and web option to compare.

Verdict

Choose Simudyne Pulse if your work depends on synthetic HKEX or LSE data for trading-agent training, backtesting, or market analysis. Its market-specific data and developer interfaces are the strongest reasons to choose it; the free-tier caps and custom-priced Pro plan are reasons to look elsewhere if you need frequent new runs or unrestricted simulation flexibility.