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, . The fintech firm's performance followed a strategic update highlighting its expansion into
custody services and a revised revenue guidance for Q4 2025. Analysts noted the move aligns with growing institutional demand for crypto infrastructure solutions amid regulatory clarity in the U.S., supported by a partnership with three major cybersecurity firms. The initiative aims to address compliance challenges in cross-border transactions, a critical factor as Nu targets enterprise clients in the EU and APAC regions. Additionally, the firm disclosed progress on its API integration with major payment gateways, .
, driven by adoption of its AI-powered fraud detection module. The company also announced the appointment of two senior executives with expertise in regulatory technology, signaling a strategic pivot toward risk management services. These personnel changes coincide with Nu's bid to enter the insurance-linked services market, .
To build the back-test exactly as you described I need a bit of extra detail: 1.
• Do we look at all U.S. listed common stocks (NYSE + NASDAQ) each day, or a narrower list (e.g., only S&P 500 constituents)? 2. Weighting of the daily basket • Equal-weight each of the 500 names, or weight them by (for example) their dollar volume? 3. Execution price assumptions • Buy at that day’s close and sell at next day’s close (close-to-close), • or buy next day’s open and sell next day’s close (open-to-close)? 4. Transaction costs / slippage • Should we include any fixed commission or bid-ask spread assumptions? 5. Risk controls (if any) • e.g., stop-loss, max drawdown, . (defaults to none). Let me know your preferences and I’ll proceed with the data retrieval and back-testing.
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