Price, execute, and manage large crypto trades with consistent market data
Support over-the-counter trading with real-time market prices, liquidity data, historical market activity, and execution workflows for institutional clients.
Over-the-counter (OTC) desks facilitate large cryptocurrency transactions directly between buyers and sellers without executing them through the public order book.
They help institutions, corporations, funds, and high-net-worth clients trade significant volumes while reducing market impact and improving execution quality. Every quote and execution decision depends on an accurate understanding of current market conditions.
Large block trades require more than knowing the latest market price.
OTC desks need to evaluate available liquidity, monitor price movements while negotiating trades, assess execution risk, and provide clients with competitive quotes. As more assets and trading venues are supported, maintaining consistent pricing across every trade becomes increasingly difficult.
Use real-time trades, quotes, and order book data to build pricing models that reflect current market activity rather than delayed reference prices.
Analyze Level 1, Level 2, and Level 3 order book data to understand available liquidity before executing large client orders.
Access historical trades, order books, and OHLCV data through APIs and Flat Files to evaluate how similar trades may have behaved under different market conditions.
Use the Exchange Rates API to calculate trade values and client reports in the currencies required for settlement and reporting.
Deliver market data through REST APIs, WebSocket streams, FIX, and EMS integration so pricing engines, execution systems, and internal trading tools operate from the same market information.
| What You Need | Before CoinAPI | After CoinAPI |
|---|---|---|
| Quote institutional trades | Price transactions using fragmented market data | Generate quotes from one normalized market data source |
| Evaluate execution liquidity | Estimate available liquidity from limited market information | Analyze Level 1, Level 2, and Level 3 order books before execution |
| Review previous trading conditions | Maintain historical execution datasets internally | Access historical trades and market data through APIs and Flat Files |
| Support global clients | Calculate settlement values separately for each currency | Convert trade values using the Exchange Rates API |
| Keep pricing consistent | Different traders rely on different market sources | Apply one pricing methodology across the OTC desk |
| Execute institutional workflows | Separate pricing, market data, and execution systems | Connect market data and execution through REST, WebSocket, FIX, and EMS APIs |
