{"product_id":"vera-gwei-eth-usd-signal-desk-python","title":"Vera Gwei — ETH\/USD Signal Desk (Python)","description":"\u003cp\u003e\u003cstrong\u003eVera Gwei\u003c\/strong\u003e is the ETH\/USD desk from the Synthetic Capital \/ Charting the Rubicon AI Agents Fund — isolated into a single standalone Python script you can run yourself. It reproduces the exact decision the fund's Vera Gwei desk makes.\u003c\/p\u003e\n\u003ch3\u003eWhat it does\u003c\/h3\u003e\n\u003cp\u003eWhere the Bitcoin desk fades extremes, Vera \u003cstrong\u003efollows momentum\u003c\/strong\u003e. She reads RSI(7) on 15-minute Ethereum bars, rides sustained directional moves, and steps aside into a dead-band around neutral, holding a fixed 60 minutes. Each run reads real ETH\/USD candles and prints the desk's current call — \u003cstrong\u003eLONG, SHORT, or FLAT\u003c\/strong\u003e — with entry, an ATR-based stop, and a 0–1 conviction score, as of the last completed candle.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eSignal only.\u003c\/em\u003e The script never places an order and never touches your account.\u003c\/p\u003e\n\u003ch3\u003eWhat's included\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ccode\u003evera_gwei_eth.py\u003c\/code\u003e — the self-contained desk script (only dependencies: requests, pandas, numpy)\u003c\/li\u003e\n\u003cli\u003e\n\u003ccode\u003eSETUP_GUIDE\u003c\/code\u003e — a plain-English, step-by-step setup guide for non-coders\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRequirements\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003ePython 3 and \u003ccode\u003epip install requests pandas numpy\u003c\/code\u003e\n\u003c\/li\u003e\n\u003cli\u003eA free OANDA practice API token (read-only pricing)\u003c\/li\u003e\n\u003cli\u003eOptional: free Alpaca data API keys (used as a crypto price fallback)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eHistorical backtest — zero-fee paper model on real prices\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eArchetype: selective RSI momentum · 15-minute · 540-day Alpaca history\u003c\/li\u003e\n\u003cli\u003eNet return +580.4% · Sharpe 2.31 · Max drawdown −27.1% · Win rate 48.1% · 4 of 4 positive walk-forward folds\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003eA win rate below 50% alongside a strongly positive return is the signature of momentum: winners tend to be larger than losers, not more frequent.\u003c\/small\u003e\u003c\/p\u003e\n\u003cp\u003e\u003csmall\u003e\u003cstrong\u003eImportant:\u003c\/strong\u003e These figures are a zero-fee, zero-slippage paper model on historical data. They are not a forecast and not a promise of profit — live spread, commissions, and slippage will reduce results, and high-frequency crypto strategies are especially cost-sensitive. This is a research tool, not financial advice. Past performance does not indicate future results, and you are responsible for any trading decisions you make.\u003c\/small\u003e\u003c\/p\u003e","brand":"Synthetic Capital","offers":[{"title":"Default Title","offer_id":53265824940256,"sku":null,"price":199.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/1076\/0672\/files\/vera_gwei_eth.png?v=1782875142","url":"https:\/\/signalsupply.store\/products\/vera-gwei-eth-usd-signal-desk-python","provider":"Signal Supply Co","version":"1.0","type":"link"}