Rachel Rebecca Stern is CLO & VP at FACTSET RESEARCH SYSTEMS INC (FDS). They have made 14 open-market trades across 1 company since 2013, most recently 2024-02-02.
CIK 0001588985
Unrated. We grade insiders only on stock they chose to buy on the open market. Grants, option exercises and vesting say nothing about timing, so they don't count — which is why someone can file often and still have no grade. It isn't a bad sign: unrated buys beat every graded tier below A.
0 open-market purchases, against 14 sales. Too few scored purchases to measure a record yet.
| Ticker | Shares | Value |
|---|---|---|
| FDS | 2,050 | $618K |
Shares reported on the most recent Form 4, priced at the 2024-02-05 close.
| Ticker | Type | Traded | Filed | Price | Value | 7d Stock | 30d Stock | 90d Stock |
|---|---|---|---|---|---|---|---|---|
| FDS | SELL | 2024-02-02 | 2024-02-05 | $480.19 | $8.9M | -2.9% | -2.7% | -8.7% |
| FDS | SELL | 2023-12-21 | 2023-12-26 | $462.11 | $5.7M | -2.9% | -0.3% | -5.9% |
| FDS | SELL | 2023-11-13 | 2023-11-13 | $450.00 | $2.9M | +0.6% | +0.3% | +3.0% |
| FDS | SELL | 2021-08-12 | 2021-08-13 | $363.00 | $2.5M | +2.0% | +3.8% | +23.9% |
| FDS | SELL | 2020-04-14 | 2020-04-15 | $277.93 | $2.5M | +2.4% | +0.7% | +25.9% |
| FDS | SELL | 2016-10-10 | 2016-10-12 | $158.79 | $338K | -0.4% | +4.6% | +9.3% |
| FDS | SELL | 2016-04-14 | 2016-04-15 | $153.37 | $1.4M | +0.5% | -0.2% | +9.8% |
| FDS | SELL | 2015-11-08 | 2015-11-09 | $173.40 | $22K | -8.9% | -2.5% | -12.9% |
| FDS | SELL | 2015-10-09 | 2015-10-09 | $163.00 | $280K | -8.9% | -2.5% | -5.1% |
| FDS | SELL | 2015-07-14 | 2015-07-14 | $163.09 | $575K | -8.9% | -2.5% | -2.5% |
| FDS | SELL | 2015-04-01 | 2015-04-01 | $160.00 | $140K | -8.9% | -2.5% | -2.5% |
| FDS | SELL | 2014-10-23 | 2014-11-04 | $126.48 | $17K | -8.9% | -2.5% | -2.5% |
| FDS | SELL | 2014-04-04 | 2014-04-04 | $108.00 | $167K | -8.9% | -2.5% | -2.5% |
| FDS | SELL | 2013-11-08 | 2013-11-12 | $110.18 | $22K | -8.9% | -2.5% | -2.5% |
Grouped by shared companies and similar filing behaviour. This is a similarity measure, not a ranking or a performance signal.