Jeffrey A. Hirsch ✓

@AlmanacTrader · White Plains, NY · joined 09 Jul 2009

CEO Hirsch Holdings, Publisher Almanac Trader, Editor Stock Trader’s Almanac | “Those who understand market history are bound to profit from it!”

47 610Followers

1 211Following

13 025Posts total

45.2KViews on collected posts

Ultimi post

Jeffrey A. Hirsch ✓@AlmanacTrader9 Sep

@AlmanacTrader It's 9/11. Not this year. 887 views · 5 likes · 0 reposts · 1 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader9 Sep

@AlmanacTrader https://t.co/wfpHlIiSOx

GIF

213 views · 0 likes · 0 reposts · 0 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader4 Sep

Tuesday after Labor Day: DJIA, S&P 500 & R2K down 9 straight. DJIA weakest, up just 33.3% of the time since 2005, average loss –0.28%. S&P 500 is similarly weak average loss –0.20%. NASDAQ & R2K are modestly better based upon frequency of gains, but performance on Tuesday is http 7.3K views · 62 likes · 10 reposts · 0 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader3 Sep

Pearl of wisdom. “Don’t eat like a putz.” 4.7K views · 14 likes · 0 reposts · 1 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader2 Sep

Pre-Labor Day trading mixed/bearish last 21 years. Since 2005, the major indexes have been flat to modestly lower on average on the Thursday and Friday before the holiday. https://t.co/so4rrbNLnK https://t.co/upcAYRCTvC 7.4K views · 45 likes · 10 reposts · 0 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader2 Sep

Leverage 60+ years of seasonal analysis and trade with confidence. Get your 60th Anniversary Edition 2027 Almanac, my market calls, seasonality timing overlaid w/fundamental & technical analysis, sector ETF trades, and stock picks. https://t.co/aCT7Tv7G7N https://t.co/hW15PVCgGa 4K views · 10 likes · 0 reposts · 0 replies Open on X →

Jeffrey A. Hirsch ✓@AlmanacTrader1 Sep

September bears watching. Midterm years often start stronger than longer-term September patterns, but that advantage fades sharply after midmonth. By the end of September, NASDAQ and Russell 1000 losses have historically deepened to around –1.6% to –1.8%. https://t.co/IHDV5FRjX2 20.8K views · 101 likes · 24 reposts · 0 replies Open on X →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane4 651questo account924mediana per 10K–100K

Copertura, %9.77%questo account3.62%mediana per 10K–100K

Interazione, %0.62%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	4 651	924	5.03×
Copertura (visualizzazioni ÷ follower)	9.77%	3.62%	2.70×
Tasso di interazione	0.62%	1.52%	0.41×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

20.8K1 Sep

4K2 Sep

7.4K

4.7K3 Sep

7.3K4 Sep

2139 Sep

887

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.62%1 Sep

0.25%2 Sep

0.76%

0.32%3 Sep

1.00%4 Sep

0.00%9 Sep

0.68%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes65.5%237 in total

Reposts12.2%44 in total

Replies0.6%2 in total

Quotes1.4%5 in total

Bookmarks20.4%74 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.