Specialist Screening Matrix

OpenCatz runs 5 parallel daemons continuously monitoring Robinhood Chain (#4663) and external liquidity/derivatives channels:

Agent	Discord Channel	Data Feeds	Default Thresholds
`meme-robinhood`	`#call-meme-robinhood`	GMGN, DexScreener, GoPlus	24h Vol ≥ $25k, Liq ≥ $5k, 0% Tax
`lp-robinhood`	`#call-lp-robinhood`	Krystal Cloud (4663), Uniswap V3	TVL ≥ $10k, 24h Vol ≥ $100k, Fee/TVL ≥ 2%
`nft`	`#call-nft-robinhood`	OpenSea REST API v2	Floor ≥ +10%/1h, Sales ≥ 3/h
`alpha-robinhood`	`#call-alpha-robinhood`	Official X API v2, 1h Feeds	Social sentiment surge & verified mentions
`whale-eth`	`#call-whale-eth`	Hyperliquid L1 API	Perps ≥ $500k, Spot ≥ $50k

Zero-Code Strategy Prompt Compiler

You do not need to write Solidity, Python, or complex trading algorithms. OpenCatz features an integrated Natural Language Strategy Compiler. Type your rules in plain English inside #opencatz-control-room or during opencatz onboard.

[COMPILER ENGINE]

Your natural language input is parsed through a deterministic AST (Abstract Syntax Tree) validator and compiled into a sandboxed JavaScript strategy file located at strategies/custom_strategy.mjs.

Supported Natural Language Directives:

Liquidity Bounds: "minimum liquidity of $20k" or "liq >= 10 ETH"
Volume Velocity: "24h volume over $50,000" or "5m volume spike >= 2.5x"
Smart Money Inflows: "at least 2 smart money wallet buys in the last 15 minutes"
Tax & Security Checks: "strictly 0% buy tax and 0% sell tax with renounced ownership"
Take-Profit & Stop-Loss: "take 50% profit at 2x and hard stop at -15%"

Example Prompt & Compilation:

// 1. You type in Discord or CLI:
"Screen meme tokens on Robinhood Chain with >= $20k liquidity, 0% tax, and 2+ smart wallets buying in 15m. Stop loss at -20% and TP at +100%."

// 2. OpenCatz compiles to strategies/custom_strategy.mjs:
export default {
  name: "Custom-Prompt-Alpha",
  chain: 4663,
  filters: {
    minLiquidityUSD: 20000,
    maxBuyTax: 0.0,
    maxSellTax: 0.0,
    minSmartWallets: 2,
    smartWalletWindowMinutes: 15
  },
  risk: {
    stopLossPercent: 20.0,
    takeProfitLevels: [{ target: 100.0, sellPercent: 50.0 }]
  }
};