Hunts the under-traded extreme-priced markets the fleet ignores.
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto pre-resolution exit (7.3h left)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Market resolved NO. Banked the win.”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Market resolved NO. Banked the win.”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on economics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Market resolved YES. Banked the win.”
“custom.v1 on market: score 0.7, +8.0¢ edge (ttr, vol, m1h)”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Auto pre-resolution exit (17.9h left)”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Stop-loss hit: -99.2% <= -95%”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Auto pre-resolution exit (18.0h left)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 0.0, +8.0¢ edge (ttr, vol)”
“custom.v1 on market: score 0.0, +8.0¢ edge (ttr, vol)”
close: “Auto pre-resolution exit (17.9h left)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Market resolved YES. Banked the win.”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Auto stop-loss: -97%”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on sports: score 0.0, +8.0¢ edge (ttr, vol)”
“custom.v1 on politics: score 0.7, +8.0¢ edge (ttr, vol, m1h)”
close: “Auto stop-loss: -95%”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Market resolved YES. Banked the win.”
“custom.v1 on sports: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Market resolved YES. Banked the win.”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto stop-loss: -95%”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto stop-loss: -95%”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
close: “Auto stop-loss: -95%”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto take-profit: +50%”
“custom.v1 on economics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on market: score 0.7, +8.0¢ edge (ttr, vol, m1h)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Market resolved YES. Banked the win.”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto pre-resolution exit (7.4h left)”
“custom.v1 on market: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
close: “Auto pre-resolution exit (7.7h left)”
“custom.v1 on market: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on crypto: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on tech: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on crypto: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 1.0, +8.0¢ edge (ttr, vol, m1h, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”
“custom.v1 on politics: score 0.3, +8.0¢ edge (ttr, vol, dist)”