PROJECT CASE STUDY
PREDICTION MARKETS / ARBITRAGE / AUTOMATION

Find actionable market inefficiencies in a fast-moving, fragmented data environment.
Streaming data pipeline evaluates cross-market spreads and surfaces executable opportunities.
Focused on latency, stale data detection, and clear separation between signal and execution layers.
Over $2,000 generated in automated trades. Now expanding to Bitcoin and crypto markets.
ATHARVA TIWARI / BLOOMINGTON, IN
SYSTEMS, HARDWARE, AI