API vs Platform Trading with Rithmic Retail to Programmatic HFT
Details
Join us for a deep-dive, practitioner-led session on how to design, test, and deploy futures strategies using the Rithmic API. We’ll compare platform-based trading to programmatic approaches, then outline a step-by-step workflow that scales from a home setup to low-latency environments—without rewriting your code. You’ll learn where Rithmic fits, how fees and brokers/FCMs interact, and how to build a robust Python analytics and execution stack that’s ready for live trading.
What You’ll Learn
- When to choose APIs over platforms
- Platform limitations for systematic traders
- CQG vs Rithmic: affordability, reliability, and migration
- Rithmic API landscape
- Retail tiers vs Diamond/colo and why the same API surface matters
- Language options: C++, C#/.NET, Node, Python (pros/cons)
- Python stack, end-to-end
- async_rithmic on Windows/Linux/WSL
- Data downloaders for monthly/4H/daily/minute bars
- Streamlit dashboard for indicators (SMA/EMA, RSI, Bollinger) and metrics (Sharpe, CAGR, max DD, win rate)
- Data, fees, and market scope
- CME family coverage (CBOT/NYMEX/COMEX; equities, rates, FX, energy, ags, metals, crypto)
- Typical retail costs (market data + API) and what to confirm with your IB/FCM
- Brokers, FCMs, and execution plumbing
- Roles of EdgeClear/AMP/Optimus; Phillip Capital/Ironbeam
- Execution reliability, slippage/latency considerations
- Walk-forward selection and contract management
- Ranking contracts across upcoming expiries (1–3 months)
- Micros, minis, standards; account sizing guidelines
- Risk and compliance
- FCM liquidation realities, outage planning
- Kill-switch expectations (CFTC/NFA), activation/ack flows
- HFT path (only when ready)
- Co-lo sites (CME Aurora, NY4/ICE, Frankfurt), infra options (C++/DPDK, FPGA/NIC)
- Order-of-magnitude costs and scaling realities
Who Should Attend
- Systematic retail traders, quants, and engineers
- Teams migrating from platforms to API-driven execution
- Early-stage prop builders evaluating Rithmic/CQG routes
Format and Materials
- 75–90 minutes: presentation + live Q&A
Key Takeaways
- A reusable, Linux/Windows-friendly Python workflow for Rithmic
- Clear cost expectations and vendor roles
Call to Action
Reserve your seat to receive the sample scripts and setup checklist
Java
.NET
Financial Engineering
Hedge Fund
Quantitative Analysis
