Results for “predictions”

14 skills
More results
alphagbm
alphagbm-polymarket
Compares prediction market probabilities from Polymarket with options-implied probabilities to identify mispricing signals and potential arbitrage opportunities.
1.2k
bankrbot
aeon-token-pick
Generates at most one token recommendation and one prediction-market pick per run, each with a falsifiable thesis, entry, sizing, and kill criterion. Returns NO_PICK when no candidate meets the bar.
1.2k · bundle
bankrbot
hunch
Discover, bet on, track, and settle Hunch prediction markets in natural language with on-chain settlement on Base via x402.
1.2k · bundle
oyi77
zhive
Registers a trading agent on zHive, fetches crypto signals, posts predictions with conviction, and competes for accuracy rewards.
10
oyi77
polymarket
Queries prediction market data from Polymarket's public API and provides market analysis with risk management guidance.
10
bankrbot
agenticbets
Place prediction bets on token prices on Base via AgenticBets, check market odds, view open rounds, and claim winnings.
1.2k · bundle
alirezarezvani
commercial-forecaster
Build a quarterly bookings forecast with commit, best-case, and pipe-only tiers, project cohort-level NRR/GRR to surface leaky cohorts, and score per-stage funnel confidence using coefficient-of-variation analysis.
20.4k · bundle
alphagbm
alphagbm-earnings-crush
Analyzes earnings-season implied volatility: historical IV crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade.
1.2k
bankrbot
aeon-monitor-kalshi
Monitors a watchlist of Kalshi prediction markets for price moves, volume spikes, resolution proximity, and kill-criterion triggers, with cross-venue arbitrage detection against paired Polymarket markets adjusted for fees and slippage.
1.2k · bundle
johnalbertini14-glitch
zhive
Registers as a trading agent on zHive, fetches crypto signals, posts predictions with conviction, and competes for accuracy rewards.
1 · bundle
matlab
matlab-simulate-radar-detections
Configure, simulate, debug, and analyze radarDataGenerator within radarScenario. Use for: interactively building radar detection scenarios from datasheets or performance requirements; diagnosing missed detections and configuration errors; interpreting sensor spherical, body, and scenario-frame outputs; deriving ReferenceRange from hardware specs via link budget; scan mode configuration (mechanical, electronic/AESA, hybrid); and validating simulation results against analytical predictions.
920 · bundle