The Factor Report ✓
@PeterLBrandt · MN and AZ · joined 05 Feb 2011
Premier site for classical chart analysis of futures markets. Trader for five decades. Market Wizard. Author. Membership Factor Report https://t.co/83DcDyF2SE
1 312 075Followers
2 234Following
41 313Posts total
785.2KViews on collected posts
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Hey Gen Z aspiring market traders
Being a life-time five decade trader of a personal pot, I will let you on on what might be a secret to your generation.
In my trading company,, Factor, for which I have been and am retiring, successful market speculation is not about getting
50K views · 724 likes
· 57 reposts · 28 replies
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It is half true. Huge slugs of volume can be starting volume or stopping volume
41.2K views · 91 likes
· 7 reposts · 4 replies
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@PeterLBrandt Peter, What do you think of the old market adage "volume stops trend"?
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· 0 reposts · 0 replies
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If the markets were living self-aware entities (which in some ways they are -- more on this later) they would have several goals regarding retail traders
1. To make them feel magical before stomping on their heads
2. To make them feel smart just before making them feel like http
35K views · 302 likes
· 20 reposts · 11 replies
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My trading company, Factor LLC, trades almost exclusively with 1930s classical chart patterns (Richard W. Schabacker)
When I first started we did not have computers. Only later did we have a computer that could print out charts (on that old shiny fax paper
We kept charts my hand
62K views · 687 likes
· 73 reposts · 36 replies
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There are two reasons I still use X
1. It is important for traders to constantly preach "best practices" to themselves -- I mean daily, hourly, trade by trade
2. Putting thoughts into typed words helps me work through the details of a trade
There is a third -- and that is rare
21.2K views · 342 likes
· 8 reposts · 32 replies
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People take up markets for hundreds of different nuanced reasons. Most are not self-insightful enough to be honest with themselves. Those that become honest with self are far more likely to actually learn (with bruises) trading talents that are profitable
31.3K views · 157 likes
· 5 reposts · 15 replies
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Wow. Super assumptive. You do know I am all but crippled, don't you
45K views · 70 likes
· 2 reposts · 11 replies
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Ask 10 truly successful traders what the market make them think:
9 of the 10 would say
"The markets often make me want to think I am dumb. This is what the markets are so good at doing"
25.5K views · 125 likes
· 13 reposts · 13 replies
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@PeterLBrandt Have learned a lot from you Mr Brandt
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@PeterLBrandt A horizontal line is a real price where people actually bought and sold. A trendline is a different price depending on which low you started from. One is a fact, the other is a choice.
245 views · 0 likes
· 0 reposts · 0 replies
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@PeterLBrandt Check out this crazy horizontal resistance on #ETH https://t.co/Qa7SZ7DQ2b
1.7K views · 3 likes
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In my mind, simple horizontal lines are the only ones that really matter https://t.co/B5NMSbfSOF
33.9K views · 202 likes
· 7 reposts · 10 replies
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These are the countries represented by my private X community
Only a few years before I ride off into the sunset of trading after taking many millions out the market (I do NOT shout out exact numbers like so many like to do on social media)
https://t.co/gDeM5nTjTq https://t.co/Qc
23.4K views · 60 likes
· 2 reposts · 2 replies
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There are certain things a trader must learn to do to be successful. Most do not have a clue what they are for themselves because of their ego
22.3K views · 75 likes
· 3 reposts · 1 replies
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I started splitting trades into multiple tranches in the 2020s, resulting in higher trade counts
20.2K views · 42 likes
· 0 reposts · 5 replies
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@PeterLBrandt İşlemcinin ortalama kazanma oranı (Win rate) %54,3 ile dengeli bir seviyededir. Ancak stratejinin asıl gücü, kazanma oranından ziyade risk/ödül dengesinde yatmaktadır. Ortalama kazanç (Avg Gain) 63 baz puan iken, ortalama kayıp (Avg Loss) yalnızca 16 baz puandır. Bu
1.8K views · 8 likes
· 0 reposts · 1 replies
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Face aux comptes de taille comparable
15 posts des 90 derniers jours, à côté de la tranche de 1M–10M abonnés. diffusé largement, mais peu de ces spectateurs réagissent.
Vues médianes29 447ce compte16 468médiane pour 1M–10M
Portée, %2.24%ce compte0.78%médiane pour 1M–10M
Engagement, %0.35%ce compte0.91%médiane pour 1M–10M
| Indicateur | Ce compte | Médiane pour 1M–10M | Rapport |
|---|---|---|---|
| Vues médianes par post | 29 447 | 16 468 | 1.79× |
| Portée (vues ÷ abonnés) | 2.24% | 0.78% | 2.88× |
| Taux d'engagement | 0.35% | 0.91% | 0.39× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
23.4K9 Sep
33.9K
1.7K
245
188
25.5K
45K
31.3K
21.2K10 Sep
62K
35K11 Sep
29.4K
41.2K
50K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.27%9 Sep
0.65%
0.35%
0.00%
0.00%
0.60%
0.18%
0.57%
1.81%10 Sep
1.28%
0.95%11 Sep
0.00%
0.25%
1.62%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.91%.
What the audience does
Likes68.0%3 292 in total
Reposts9.0%436 in total
Replies5.0%240 in total
Quotes0.1%5 in total
Bookmarks17.9%865 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
9 Sep
Daily snapshots since 09 Sep 2026; the dashed line is the starting count.
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