{"sources": [
 {"url": "https://api.imd.fun/artifacts/206a4888de6fa1bda53cd2c9bad1632ccdbb63d32e7f09b6a332746b7a3ac3c3", "quote": "\"sha256\": \"610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb\","},
 {"url": "https://api.imd.fun/artifacts/206a4888de6fa1bda53cd2c9bad1632ccdbb63d32e7f09b6a332746b7a3ac3c3", "quote": "\"v2_sha256\": \"28417e116f57f1029fdd1803832e852574902c1ae7253c05657f317db76da4ab\","},
 {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/README.md", "quote": "Good strategies maximize retail edge while minimizing arb losses."}
]}
