Analyst identity in price target data is the join key most datasets get wrong, and it is the quietest way a panel goes bad. In AnaChart’s source records, 7,748 distinct broker-and-analyst identifiers resolve to 7,191 real people. Roughly 557 of those identifiers are the same person counted twice. If you are scoring analysts, weighting a … Read more
Analyst price targets are a lagging indicator, and the lag is measurable. Across 426,782 consecutive revisions in AnaChart’s records, the correlation between how an analyst moved a target and how the stock had already moved since their previous call on that name is 0.705. That number matters to anyone building a signal on revision data, … Read more
A number in a research note is only as defensible as the record behind it. When compliance, a client, or a portfolio committee asks where a price target came from and when, “the data vendor said so” is not an answer. Every figure needs a source and a date you can point to. AnaChart’s analyst … Read more
The consensus you can buy today tells you what analysts think now. It cannot tell you what they thought on a Tuesday in 2015, which is the only thing a backtest cares about. Rebuild history from a live feed and you inherit two silent errors: revisions that overwrite the past, and tickers that quietly dropped … Read more
Most IR teams know who covers them. Far fewer can say, on the record, which of those analysts have been worth listening to, how their targets have moved, and where the laggards are dragging the consensus that shows up in every headline about the stock. AnaChart’s analyst price target data lets you audit your own … Read more
Price targets are numbers, ratings are labels, and the gap between them is a signal most feeds throw away. A Buy held while the analyst quietly trims the price target is one of the more reliable conviction-loss patterns in sell-side data, and you can only see it if the record keeps every revision in order. … Read more
If you’ve tried to source analyst price target data — full history, accuracy-scored, machine-readable — you already know the options aren’t good. Bloomberg and FactSet charge $20,000+ a year. Public aggregators give you today’s consensus but strip the history. And almost nobody includes the part that actually matters: whose price targets actually got reached. Here’s … Read more