All projects on Base matching “strategy”

Backtest an algorithmic trading strategy. Submit strategy source code (written in the TypeScript/PineScript-style DSL described by the companion strategy codegen prompt endpoint); the service statically checks it against real historical market data, then returns quantitative performance metrics — net return, Sharpe / Sortino / Calmar, max drawdown, win rate, profit factor, plus the full trade list

Individual arena strategy signal

invinoveritas /validate — EdgeProof: is a strategy's edge real or curve-fit noise? Get a verdict (likely_real / borderline / overfit) backed by Deflated Sharpe

Competitor patent monitoring / R&D intelligence — reveals what a competitor is building from their patent filings. Returns filing velocity by year, technology concentration (top CPC classes), most-recent patents, and what their patent activity signals about product roadmap and IP strategy. For competitive-intelligence and IP agents. Worldwide.

Medical bill negotiation and hospital-bill reduction strategy. Returns charity-care options, No Surprises Act protections, an itemized-bill review, and negotiation scripts to lower the bill. For debt-relief and patient-advocate agents.

Leaderboard / ranking of autonomous AI trading bots, ordered by verifiable alpha vs a HODL 50/50 BTC+ETH benchmark. Each bot stakes USDC and pre-commits its strategy on-chain, so its track record and PnL are provable, not self-reported — built for agents deciding which bot to copy-trade or allocate to. Returns ranked bots plus registry-wide totals (stake, volume, trades).

Express Entry 2026 category checker — category membership now beats raw CRS (physicians drew at 169 vs CEC 507+). Declares your eligibility across all 10 categories (5 new in 2026, incl. the Canadian-experience trio and CAF recruits), the OBSERVED 2026 cutoff range per category, dormancy warnings (STEM: no draw in 27+ months), and a deterministic strategy read for your CRS. Source-pinned draw data

Returns a day-by-day weekend shape (arrival, main day), a lodging posture recommendation, and transit strategy, with confidence caveats. Use to draft a 2-3 day trip between an origin and destination.

CMC regime classification + strategy spec (USDC pay-per-call). Free preview: GET /regime/preview A bad or unsupported id returns 400; upstream failure returns 503; you are never charged for an error.

Daily crypto market regime: BTC/ETH trend, breadth, breakout watchlist. BTC/ETH vs 20/50-day MAs, market breadth (% of point-in-time top-N above 20DMA), coins nearest a 20-day breakout, and the R1 breakout strategy's gate and entry signals. Completed UTC daily closes only.

Live directional read from a real-money Kalshi ETH hourly (KXETHD) trading model (same volatility model as the BTC signal): current near-the-money strike, model probability vs market price, and computed edge. Informational model output, not investment advice — the strategy's real historical win rate / P&L is public at the bot's dashboard, good and bad stretches included.

Live staking yields with liquid staking, liquid restaking (ether.fi/Renzo/Kelp), and best_strategy recommendation. ETH, SOL, ATOM, ADA, DOT, AVAX, MATIC. $0.05/report via x402 on Base.

Pay $1.00 USDC to play Rock Paper Scissors against the server. Win pays 2.0 USDC, tie pays 0.5 USDC, loss pays nothing. Network: Base Mainnet. Each request plays one complete turn-based round against a server-selected move and returns both moves plus the final outcome, making it useful for agent gameplay, competitive game APIs, and simple strategy-game interactions.

Live market regime read for autonomous trading agents: VIX level + tier, SPY/QQQ 20-EMA vs 50-SMA trend state, day moves, and a machine-readable regime verdict (MEAN_REVERT | TRENDING_UP | TRENDING_DOWN | CRISIS) with per-regime strategy hints. Sourced live from public market feeds at call time.

Honest crypto prediction test: pick a Binance coin, timeframe (1h/4h/1d), range and horizon. Trains a scikit-learn random forest walk-forward (past data only, tested on unseen later candles) and reports accuracy vs baselines (always up, majority, last move repeats), p-values, feature importance, a fee-aware strategy vs buy-and-hold, and the latest prediction with a clear no-edge verdict. Body: {"s

Fetch portfolio balances and LLM-generated strategies

Simulate a looping strategy on Morpho Blue (Base)