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Steven Goldstein ✓

@AlphaMind101 · London, UK. · joined 26 Mar 2012

Performance Coach for Financial Market Risk-Takers. Driving Performance Alpha through Behavioral Transformation. Author: Mastering the Mental Game of Trading.

60 486Followers
2 091Following
31 136Posts total
30.7KViews on collected posts

Postingan terbaru

I know gamblers who trade and traders who gamble. Be the first one, not the second. A little more context. The Gamblers I am talking about play gambling games, Poker, Sports-Betting, Blackjack. - But they are taking a probabilistic and a business mindset to it, with robust
2.4K views · 36 likes · 2 reposts · 5 replies Open on X →
This week's Mastering the Trading Game newsletter is out. It looks at what performance coaching actually does for traders: not motivation, not fixing you, but helping you see yourself and your decisions with the objectivity you can't get on your own. Link below 👇 https://t.co/9JN
2.2K views · 11 likes · 1 reposts · 4 replies Open on X →
@AlphaMind101 Hard truth, risk management feels boring until one bad trade shows you why it matters What made you realize that proper risk management is key to surviving the markets? 151 views · 1 likes · 0 reposts · 1 replies Open on X →
@AlphaMind101 Couldn't agree more, but the million dollar question is doing it properly. What is the answer to that question? 37 views · 0 likes · 0 reposts · 0 replies Open on X →
@AlphaMind101 The irony is that risk management doesn't limit your upside. It's what allows you to stay around long enough to actually capture it. 8 views · 0 likes · 0 reposts · 0 replies Open on X →
Risk Management is the only non-negotiable in trading. You can try and avoid it because you’ll ‘feel it’s a burden.’ You’ll have a sense that it ‘holds you back’. You’ll believe your upside will be higher if you are ‘just a little lax with it’. And yepp, it’s boring, https:/
3.2K views · 59 likes · 5 reposts · 7 replies Open on X →
Your thesis was right. Your P&L didn't care. Every trader knows that feeling, being dead right on the call and still losing money on it, because the market didn't move on your timeline. Eisenhower knew a version of it too. He planned D-Day in more detail than any military https
3.1K views · 31 likes · 1 reposts · 5 replies Open on X →
@AlphaMind101 Study how stocks move, you don’t need psychology if you know how to trade as per Qullamaggie 22 views · 1 likes · 0 reposts · 0 replies Open on X →
@AlphaMind101 Hey, I like how you approach the market. I’m trading growth/momentum IBD-style and focusing on improving execution and consistency. Looking to connect with a few like-minded traders to exchange ideas and do occasional reviews. No signals — just process. Let me know 97 views · 1 likes · 0 reposts · 0 replies Open on X →
@AlphaMind101 I love how you say from “good to great”. Too many times beginning traders who are not “good”, who have no edge, are tricked into thinking their edge will come from the mental side. Thank you for the transparency. 206 views · 1 likes · 0 reposts · 0 replies Open on X →
40 years in markets — 25 years as an investment‑bank trader, 15 years coaching top traders (hedge funds, sell‑side, retail). I help traders move from good to great through sustainable behavioural transformation. Email to inquire: info@alpharcubed.com https://t.co/NazQI1I8sj
19.3K views · 56 likes · 6 reposts · 8 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tepat di median untuk rentang pengikutnya.

Median tayangan2 184akun ini924median untuk 10K–100K
Jangkauan, %3.61%akun ini3.62%median untuk 10K–100K
Interaksi, %1.18%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan2 1849242.36×
Jangkauan (tayangan ÷ pengikut)3.61%3.62%1.00×
Tingkat interaksi1.18%1.52%0.77×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

19.3K26 Jan
20627 Jan
9725 Mar
2231 May
3.1K14 Sep
3.2K15 Sep
8
37
15116 Sep
2.2K
2.4K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.36%26 Jan
0.49%27 Jan
1.03%25 Mar
4.55%31 May
1.18%14 Sep
2.28%15 Sep
0.00%
0.00%
1.32%16 Sep
0.73%
1.83%

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

What the audience does

Likes64.2%197 in total
Reposts4.9%15 in total
Replies9.8%30 in total
Quotes0.3%1 in total
Bookmarks20.8%64 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.

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