Ares Management (ARES) Plummets 2.29% as Volume Surges 68.8% to $0.61 Billion Ranking 192nd in Volume

On October 2, 2025, Ares Management (ARES) closed down 2.29% with a trading volume of $0.61 billion, representing a 68.8% surge from the previous day’s activity and ranking 192nd in volume among listed stocks. The decline followed mixed market sentiment amid broader sector rotations. Recent filings highlighted the firm’s exposure to high-yield credit markets, which analysts noted could amplify volatility in a shifting interest rate environment.

Internal strategic updates disclosed earlier this week emphasized capital allocation priorities, with management reaffirming its focus on long-term value creation despite short-term market pressures. While the firm’s asset under management figures remained stable, sector-specific risk factors were cited as key near-term challenges. Institutional investors appeared cautious, with reduced open interest observed in key derivatives contracts.

To run this back-test rigorously I need to pin down three practical details that aren’t fully specified yet: Market universe – Should we work with all primary-listed U.S. equities, or a narrower group such as current S&P 500 constituents? If you have a custom symbol list, please share it (CSV or TXT). Price points for entry/exit – Typical intraday “buy at today’s close, sell at tomorrow’s close” (close-to-close)? Or “buy at tomorrow’s open, sell at tomorrow’s close” (open-to-close)? Most volume-based turnover strategies use close-to-close to avoid look-ahead bias, but I’ll follow your preference. Data access for daily share-volume ranks – I can generate the daily Top-500 list automatically if we have access to a bulk data file (prices + volumes) or if you can upload one. If raw volume data aren’t available, I can substitute the S&P 500 ETF (SPY) as a proxy, but that obviously won’t capture the rotation you’re interested in. Once we settle these points, I’ll: Retrieve (or ingest) the volume and price data. Generate the daily “buy” and “sell” signals. Run the strategy_backtest_engine and share the full performance report. Let me know how you’d like to proceed.