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cryptocurrency
consulting &
digital services.

# RNsquare Algorithmic Trading Framework
import ccxt
import asyncio

class RNQuantEngine:
    def __init__(self, api_key, api_secret):
        self.exchange = ccxt.binance({
            'apiKey': api_key,
            'secret': api_secret,
            'enableRateLimit': True
        })

    async def monitor_spread(self, symbol="BTC/USDT"):
        while True:
            ticker = await self.exchange.fetch_ticker(symbol)
            spread = ticker['ask'] - ticker['bid']
            if spread > self.target_threshold:
                await self.execute_arbitrage(ticker)
            await asyncio.sleep(0.5)

// RNsquare Blockchain & Smart Contract Bridge
import { ethers } from "ethers";

export async function verifyUSDTTransfer(txHash, expectedRecipient) {
    const provider = new ethers.JsonRpcProvider(process.env.RPC_URL);
    const receipt = await provider.getTransactionReceipt(txHash);
    
    if (!receipt || receipt.status !== 1) {
        throw new Error("Transaction pending or failed");
    }
    
    const isVerified = parseTransferLog(receipt.logs, expectedRecipient);
    return { verified: isVerified, blockNumber: receipt.blockNumber };
}

# RNsquare AI Automated Intelligence Agent
from langchain_community import MarketDataPipeline

def run_market_intelligence_scan():
    pipeline = MarketDataPipeline(sources=["on_chain", "order_book"])
    sentiment = pipeline.analyze_liquidity_flux()
    
    return {
        "regime": sentiment.current_market_regime,
        "confidence": 0.942,
        "recommendation": "CAPITAL_PRESERVATION_BIAS"
    }