SoFi Climbs to 46th in Trading Volume Amid Regulatory Probes and 0.82% Gains

On October 2, 2025, SoFi Technologies (SOFI) traded at a volume of 1.81 billion shares, ranking 46th in market activity. The stock closed up 0.82% for the day, outperforming broader market benchmarks amid mixed investor sentiment toward fintech sector dynamics.

Recent developments highlight regulatory scrutiny intensifying around SoFi’s consumer lending practices, with two state-level investigations scrutinizing interest rate disclosures. While the company reiterated its compliance protocols in a recent filing, analysts noted the probes could delay potential expansion into new markets by 6-9 months. Concurrently, SoFi’s mortgage division reported a 12% monthly decline in loan applications, attributed to rising benchmark rates and shifting customer preferences toward fixed-rate products.

Investor focus remains on the firm’s upcoming Q3 earnings report, with market participants pricing in a 50 basis point guidance cut from current consensus estimates. Short interest data indicates a 15% increase in open short positions over the past month, suggesting bearish positioning despite the recent price action. Technical indicators show the stock consolidating within a 12-month trading range, with key resistance at $6.85 and support at $5.90.

To set this up accurately I’ll need to clarify a couple of points about the universe and execution mechanics, because the “top-500-by-volume” basket can be defined in several ways and the back-testing engine needs explicit rules. Universe • Which market(s) should be scanned each day—e.g. all NYSE + NASDAQ common stocks, S&P 500 constituents only, or another list? Weighting • Equal-weight each of the 500 names, or weight by volume / market-cap / something else? Trade price & holding period • Buy at today’s close and sell at tomorrow’s close (standard 1-day hold), or buy at next day’s open and exit that same day’s close? Transaction costs / slippage • Should we assume zero costs or apply a per-trade commission and bid-ask slippage? With these details nailed down I can generate the daily buy/sell signals, run the back-test from 2022-01-01 to the present, and return the performance statistics and visualizations.