Agentic Market Making

A Rust-based experimental market-making engine for studying inventory-aware quoting and, eventually, agent-driven strategy control.

Status

This is a learning and research project, not a production trading system. The current focus is a clean simulation core with configurable parameter sweeps and reproducible experiment output.

The long-term goal is an agentic market maker: a system where a controller can observe market state, evaluate risk, and adapt strategy parameters over time.

What It Does

• Simulates fixed-spread, volatility-aware, inventory-risk, and regime-adaptive market-making strategies.
• Models fills, fees, adverse selection, inventory, cash, and mark-to-market PnL.
• Runs configurable multi-seed parameter sweeps.
• Aggregates sweep results across multiple random seeds.
• Writes ranked sweep results and best-strategy step datasets to CSV.

Run

cargo run
cargo run -- configs/baseline_sweep.json
cargo run -- configs/baseline_volatility_aware_sweep.json
cargo run -- configs/baseline_inventory_risk_sweep.json
cargo run -- configs/baseline_regime_adaptive_sweep.json
cargo run -- configs/high_volatility_sweep.json
cargo run -- configs/volatility_aware_sweep.json
cargo run -- configs/high_volatility_inventory_risk_sweep.json
cargo run -- configs/high_volatility_regime_adaptive_sweep.json
cargo run -- configs/mixed_regime_volatility_aware_sweep.json
cargo run -- configs/mixed_regime_adaptive_sweep.json
cargo run -- configs/baseline_sweep.json configs/baseline_volatility_aware_sweep.json configs/baseline_inventory_risk_sweep.json configs/baseline_regime_adaptive_sweep.json configs/high_volatility_sweep.json configs/volatility_aware_sweep.json configs/high_volatility_inventory_risk_sweep.json configs/high_volatility_regime_adaptive_sweep.json configs/mixed_regime_volatility_aware_sweep.json configs/mixed_regime_adaptive_sweep.json

The default config is configs/baseline_sweep.json.

Analyze an exported best-strategy step dataset:

python3 research/analyze_steps.py target/reports/mixed_regime_adaptive_volatility_aware_best_steps.csv

Verify

cargo test
cargo clippy -- -D warnings

Docs

• Model assumptions
• Experiments and sweeps

Roadmap

• Improve the fill model with arrival probabilities and volatility-aware behavior.
• Add multi-regime comparison reports.
• Add live public market data in paper-trading mode.
• Add an agent/control layer after the core simulator is stable.