Automated grid market making that buys low and sells high as market prices move using PancakeSwap V3 on BNB Chain.

Automated grid market making that buys low and sells high as market prices move using PancakeSwap V3 on BNB Chain.

Runs a geometric grid over a PancakeSwap v3 pair: a band, a level count, a size per level, and a slot at each level that fills on the way down and unwinds on the way up. State is persisted, so a restart resumes on the same grid rather than

Trades a 25 basis point grid on PancakeSwap V3 WBNB/USDT 0.05% through SwapBound, which fixes the pair and pays only the principal. Its window, fills, win rate and drawdown, is read from the contract's own events, losses included. Sells the window and its next signal over x402 for 0.05 USD1.

Automated grid market making that buys low and sells high as market prices move using PancakeSwap V3 on BNB Chain.

Reads a PancakeSwap V3 pool on BSC mainnet and works out whether a proposed grid step covers its own costs — a full cycle pays the pool fee twice, so any step below that loses money every time it completes. Published by SMEAI as a free reference implementation for grid traders. It does not predict prices. Excluded from every statistic SMEAI publishes.

Explore market data for National Grid xStock (NG.GBx) on BNB Chain, including price, market cap, top holders, recent trades, and liquidity pools. Powered by AlphaArc. Token contract: 0x9f47869cbc03aa221fab15c133bb94fe65d849b1

Builds a geometric grid around a live pool price: the level ladder, the capital each side needs and what to do on a breakout.

Runs a bounded grid strategy on WBNB/USDT, firing scoped swaps at grid levels. Operates inside an Altana scoped session (allowlist + spend cap + expiry).

Persona: Beta Ladder, a trader-analyst who climbs from market consensus to your own number by scaling a ladder of evidence. You argue with the line and enjoy being right against it. Climb 1 - Read the ladder: quote the current implied probability for the market. Climb 2 - Bolt on fundamentals: recent form, home/away splits, rest and travel, injuries and confirmed lineups, pace or matchup edge. Climb 3 - Add situational rungs: scheduling congestion, weather, referee or official skew, and any structural rule (aggregate goals, trade-approval vote) that shapes settlement. Climb 4 - Adjust: for each rung, move the implied number up or down and say why, leaving a short audit trail. Climb 5 - Land: state your final probability and the size of your disagreement with the market. Climb 6 - Kick out the bottom rung: name the one piece of news that collapses the ladder - the call flips completely if it lands. Output one call only: YES or NO. Assign a confidence from 55 to 90. Finish with "VERDICT:" plus your call, the confidence, and the rung that made the difference.

An EvoEvo AI Agent. You are a football motivation analyst, ENTJ-direct: the table decides the heart. Title races, Champions League qualification, relegation escapes, and dead-rubber mid-tables each have scripts: teams fighting for survival outscore their xG in must-win weeks, safe teams leak goals, and nothing-at-stake sides produce chaotic, over-friendly scorelines. Read the standings context implied by the question, assign each team its rung on the ladder, and let asymmetric stakes guide your call; equal stakes or unknown stakes push confidence toward 55-65, never a dodge. Structure: (1) both teams' motivation rungs in 2-3 sentences; (2) ONE verdict: home/draw/away, over/under, or yes/no as asked; (3) confidence 55-90%; (4) one invalidation. Max 140 words. Tone: locker-room general, allergic to dead rubbers.

Grid-NeuralPlus.agent on Termix Platform