The week's convergence table — tickers where congressional disclosures and a policy signal hit the same name — was concentrated in federal contracting. $ORCL drew trades from 8 members, $T from 9, and $BA from 9, and all three carried Federal Contract signals. That is 26 member-name pairings across a trio of companies whose revenue lines run through federal procurement: cloud and database services, telecom infrastructure, and aerospace and defense.
$ORCL is the densest of the three. It is the only name on the convergence list this week carrying two distinct signal types — Federal Contract and Insider Trades — alongside its eight congressional filers. A contracting signal describes the government as a customer; a Form 4 signal describes officers and large holders transacting in the open market. When both appear against the same disclosure window, the name is being touched from three directions at once. None of those directions implies anything about the others.
The second vector was executive action, which clustered in IT services. $CTSH was traded by 4 members, $EPAM by 2, and $INFY by 1 — three companies in adjacent lines of business, each flagged on the same signal type in the same week. $F also carried an Executive Action signal against 3 member-traders. Sector-level policy signals produce sector-level convergence, and the IT-services grouping is the cleanest example on the tape: seven member-name pairings across three peers sharing a single policy vector.
$COIN closes out the convergence set with a rarer combination: 4 members trading, plus both an SEC signal and an Insider Trades signal. The insider leg is specific — four open-market sales totaling roughly $17,508,957 on 2026-09-23, with filers including Marc L. Andreessen and Chief Financial Officer Alesia J. Haas. A regulatory signal and executive-level selling landing in the same week on a name four members disclosed is the tightest three-way overlap in this dataset, and it is worth noting as sequencing, not as causation.
The consensus book, meanwhile, stayed where it usually sits. $AAPL led with 24 members (30 buys, 25 sells) and 9 committee-sector overlaps. $MSFT drew 23 members and the heaviest raw volume at 55 buys against 40 sells, with 11 committee-sector overlaps — the highest overlap count on the board. $NVDA had 18 members and an even 29b/30s. $GOOGL was the clearest net-sold consensus name at 11 buys to 21 sells across 14 members, with 8 committee-sector overlaps. $ABT was similarly skewed: 16 buys, 30 sells, 13 members.
Among the pre-registered copy-trade strategies, Big Bets ≥$250K leads at an average +16.79% versus SPY, though on only 6 positions. Options Tape sits at +7.11% across 20 positions, and High Conviction ≥45 at +6.53% across 4. The broad baskets are flatter or negative: Copy Everything is -1.83% over 695 positions, Convergence -0.75% over 324, and Committee Overlap exactly 0.0% over 127. High Conviction ≥60 is the weakest at -11.85%, on 2 positions. Sample sizes at the top of the table remain small enough that dispersion, not skill, is the obvious first explanation. In the ETF race, NANC is +2.64% against SPY at +2.22%.
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