Chat With Traders ✓

@chatwithtraders · US · joined 15 Apr 2014

Est. 2015. Markets, speculation, risk. Podcast hosted by Kevin Avery. 25M+ plays. For inquiries, reach out to kevin@chatwithtraders.com

111 521Followers

35 197Following

10 026Posts total

25.4KViews on collected posts

Latest posts

Chat With Traders ✓@chatwithtraders16 Sep

NEW EPISODE 332📢 The Man Who Introduced Candlestick Charting to the West | Steve Nison From discovering 300-year-old Japanese charting methods to translating rare texts that built modern technical analysis. Steve Nison breaks down how he introduced candlesticks to the West and 1.7K views · 14 likes · 1 reposts · 1 replies Open on X →

Chat With Traders ✓@chatwithtraders16 Sep

@chatwithtraders @smbcapital video versions make sense tbh, some trading concepts land way better when you can actually hear the reasoning and see how the person frames risk. @chatwithtraders follow back appreciated fr 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Chat With Traders ✓@chatwithtraders16 Sep

@chatwithtraders @smbcapital Process > prediction into the overnight. Invalidation on paper beats another hour of staring. 4 views · 0 likes · 0 reposts · 0 replies Open on X →

Chat With Traders ✓@chatwithtraders15 Sep

@chatwithtraders @smbcapital Edge is easier to evaluate when consistency and risk allocation are written down before the trade. For day-job traders, that turns a good idea into a repeatable process. 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Chat With Traders ✓@chatwithtraders11 Sep

You've listened to our interview episode, now check out the video version from @smbcapital as Jeff breaks down edge, consistency, and risk allocation. 🔥 Watch it below! Quick question traders. Do you want us to start releasing video versions of our podcast interviews too? Drop 3.8K views · 6 likes · 2 reposts · 3 replies Open on X →

Chat With Traders ✓@chatwithtraders10 Sep

New collaboration with the @chatwithtraders podcast 🎙️ Jeff breaks down how profitable traders are built—from edge and consistency to risk allocation and knowing when to swing big. Watch: https://t.co/X4WIzwqWB7 9.2K views · 25 likes · 2 reposts · 1 replies Open on X →

Chat With Traders ✓@chatwithtraders10 Sep

He is widely acknowledged as the "Father" of candlestick charts in the West after discovering an obscure methodology that revolutionized global financial analysis. He is a Former Technical Analyst who tracked down rare Japanese texts and translated them to fundamentally change ht

3.7K views · 11 likes · 2 reposts · 4 replies Open on X →

Chat With Traders ✓@chatwithtraders2 Sep

NEW EPISODE 331📢 How Top Prop Traders Find and Scale Their Edge | Jeff Holden From developing 7 and 8-figure traders to mastering the ASET protocol. Jeff Holden breaks down the evolution from baseline scalping to swinging hard on A+ setups. 🎙️ @averydaytrading 3.4K views · 7 likes · 1 reposts · 3 replies Open on X →

Chat With Traders ✓@chatwithtraders26 Aug

He became a top mentor and leader in trader development after turning tape reading and scalping systems into a blueprint that built multiple 7- and 8-figure prop traders. He is a former independent trader who rose to become the Head of Trader Development at SMB Capital. 𝐂𝐚𝐧 http

3.6K views · 11 likes · 1 reposts · 5 replies Open on X →

Against accounts of the same size

9 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views3 416this account5 983median for 100K–1M

Reach, %3.06%this account1.49%median for 100K–1M

Engagement, %0.31%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	3 416	5 983	0.57×
Reach (views ÷ followers)	3.06%	1.49%	2.06×
Engagement rate	0.31%	0.93%	0.34×

Others in this range → Compare with another account → How these benchmarks are built →

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

3.6K26 Aug

3.4K2 Sep

3.7K10 Sep

9.2K

3.8K11 Sep

215 Sep

416 Sep

1.7K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.48%26 Aug

0.32%2 Sep

0.47%10 Sep

0.31%

0.29%11 Sep

0.00%15 Sep

0.00%16 Sep

0.00%

0.93%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes61.7%74 in total

Reposts7.5%9 in total

Replies14.2%17 in total

Quotes0.8%1 in total

Bookmarks15.8%19 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts