{"sources": [
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "Not tried: choosing quotes against the whole lattice posterior instead of its mean and sd, per-run estimates of sigma and order rate inside the classifier, the router likelihood per price hypothesis."},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "A table classifier on the filter's own features gets 18.8% against the lattice's 16.2%, so the error is near what those features allow."},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "10000  448.261189  443.455598  443.522608  443.663520"},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "python3 -I real.py pol_mid.json plain:soft=1 qm:soft=1,qm=qm_k1e-5.json    # +2.828, +3.769"},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "The filter is wrong 16% of the time. With the true answer the same code scores +6.98."},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py", "quote": "pi = l_arb / (l_arb + l_ret) if (l_arb + l_ret) > 0 else 0.0"}
]}