Pan's $0.22B Volume Propels It to 497th in Equity Trading Rankings

On October 6, 2025, Pan recorded a trading volume of $0.22 billion, ranking 497th among listed equities. The stock closed higher, with Pan's performance aligning with broader market dynamics observed in the silver sector.

Recent developments indicate renewed institutional interest in the company's production capacity, driven by supply chain adjustments in key mining regions. Analyst notes highlighted operational efficiency metrics as a critical factor, though no direct price targets were cited. Market participants observed that liquidity patterns in the past week showed increased participation from long-term holders, contrasting with short-term speculative activity seen earlier in the quarter.

Technical indicators suggest a consolidation phase following recent volatility. While short-term momentum indicators remain neutral, on-chain data reveals a 15% increase in average holding periods compared to the previous month. This trend coincides with reduced open interest in derivative contracts, signaling potential stabilization in speculative positioning.

To run this back-test rigorously there are a few practical details we need to lock down first. I can auto-fill reasonable defaults, but I’d like to confirm that they match what you have in mind: 1. Universe • Default I would use all common stocks listed on NYSE, NASDAQ and NYSE-Arca that have been trading for at least 60 days. • Let me know if you’d prefer a different universe (e.g., only S&P 500 members). 2. “Daily trading volume” definition • Most studies rank by dollar volume (shares × close price) because it avoids penny-stock bias. • We can also rank by raw share volume if you prefer. 3. Selection & execution timing (to avoid look-ahead bias) • Rank stocks using YESTERDAY’s volume. • Buy the chosen 500 at today’s open, sell them at today’s close (1-day holding period). • Positions are equal-weighted. 4. Frictional costs • Unless you specify otherwise I’ll assume no commissions or slippage. We can add flat or percentage costs if you want. 5. Practical note on platform limits • The current back-test engine expects a single security or an aggregated “portfolio index”. I can automatically create such an index from the 500-stock basket each day so that you still get correct portfolio-level P&L and risk metrics. (All the basket construction happens behind the scenes—you’ll receive normal equity-style back-test output.) If the above defaults look good, just let me know and I’ll run the back-test from 2022-01-03 (first trading day of 2022) through today. If you’d like any adjustments (different universe, ranking metric, cost assumptions, etc.), tell me and I’ll incorporate them before running the analysis.