Commercial banks, hedge funds and other trading firms use Rapidminer Panopticon for several use cases, including:
Profitability
Correlate trading costs and risks with revenues by trader, office, asset class, execution venue or any other dimension. Measure trading effectiveness and see performance trends for all traders and groups. Monitor trends for RFQ-driven trading activity across all electronic trading channels.
Liquidity and spreads
Analyze market microstructure for RFQ-driven markets. Correlate market impact to historic executions, venues and trading strategies. Compare order and quote data and identify temporary market liquidity imbalances across all venues. Visualize consolidated orders across all available liquidity pools and identify liquidity imbalances.
Transaction cost analysis (TCA)
Analyze best execution across fragmented liquidity pools, and through all algo types, books, venues, counterparties/brokers and instruments.
Risk
Perform intraday analysis of risk profiles at the office, desk and trader levels. Analyze liquidity in compliance with BCBS 248 rules and identify value at risk (VaR) and sensitivity trends across all book and instrument hierarchies.
Compliance and surveillance
Analyze historic order flow for execution policy breaches, view live execution performance, and compare execution histories to past activities and market data across all liquidity and execution venues in use.
Basket trading
Analyze portfolio and index basket risk and return analysis, both pre-trade and during basket execution, and identify liquidity spikes, shortfalls and performance divergences.
Trading fraud
Identify cases of potential spoofing, quote stuffing, wash trading and other fraudulent activity. Playback through a series of trades tick-by-tick to gain a full understanding of exactly what happened.