Simudyne Pulse
A high-fidelity intraday market simulator for testing how markets react to orders. Built using both an Agent-Based Model and a Foundation Model.
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Overview
Millisecond-resolution L1/L2 quotes, depth, trades, and order flow — via a Python SDK. Free to get started. Simulation run in Pulse · 700.HK 09:30:01 1. 01 · Algo backtesting Replay your algo over synthetic markets 2. 02 · Market impact Measure impact in a market that reacts realistically 3. 03 · Pre-trade TCA Estimate cost before you trade 4. 04 · Stress scenarios Trade through crises that never happened 5. 05 · Training data Unlimited tape for models that need more than history cached run 0000 — 50k TWAP sell replay (unreactive)
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Generate synthetic orderbook data
Ask for millisecond-resolution L1/L2 quotes, depth, trades, and order flow via the Python SDK for model training.
- Backtest trading algorithms
Replay your strategy against synthetic market data to evaluate performance without relying on historical tapes.
- Simulate market impact
Measure how your orders affect prices in a market that reacts realistically to your trading activity.
- Estimate pre-trade costs
Use synthetic order flow to calculate transaction cost analysis (TCA) before executing real trades.
- Create stress test scenarios
Generate market conditions for crises that never happened to test strategy resilience under extreme scenarios.
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