Mastercard Rises to 52nd in Trading Activity with 44.76% Volume Surge Amid Digital Expansion and Crypto Partnerships as Stock Dips 1.92%

On September 5, 2025, Mastercard (MA) traded with a volume of 1.42 billion shares, marking a 44.76% increase from the previous day, ranking it 52nd in trading activity. The stock closed down 1.92% for the session.

Mastercard has intensified its digital expansion through partnerships and technological advancements. The company recently launched the GCash "Tap to Pay" service in the Philippines, enhancing global digital payment accessibility. It also collaborated with Bybit to introduce crypto-linked debit cards in Europe, aligning with growing demand for blockchain-based financial tools. Additionally, Mastercard reiterated its stance that cryptocurrency serves as a complementary payment method rather than a disruptive force to traditional card networks, emphasizing security and innovation in its strategy.

Recent developments include a partnership with Ant International to launch an AI-driven agentic payment solution, underscoring Mastercard’s focus on secure transaction technologies. The company also expanded its reach in Jordan by enhancing Zain Cash’s card offerings and partnered with VikingCloud to deploy a Mastercard-designed C-VEP solution, reflecting its commitment to broadening financial infrastructure in emerging markets.

To run this back-test correctly we have to generate, for every trading day from 2022-01-03 to today, a list of the 500 U.S. common stocks with the highest share-turnover, open positions in all of them, hold one session and exit at the next close. Unfortunately our current single-ticker back-test engine does not yet support multi-asset, daily-reconstituted portfolios. (Each engine call can handle only one security at a time, and it cannot aggregate the returns of hundreds of simultaneous positions.) Because of this technical limitation, the “top-500-by-volume every day” strategy cannot be executed faithfully with the tool-set that is presently available. There are two practical work-arounds: 1. Narrow the request to a single security or to a static basket (for example, the S&P 500 constituents) and study how buying the highest-volume names within that fixed set performs; or 2. Approximate the idea with an ETF or index that already tracks a large, high-liquidity universe (e.g., analyse SPY’s 1-day momentum, or compare a “high liquidity” ETF against the market). If you’d like to proceed with one of these alternatives—say, “buy the most-active 50 names inside today’s S&P 500 list” or “test 1-day holds in SPY”—let me know and I will set it up right away, filling in any default assumptions for you.