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Vincent Delisi ✓

@ivincentdelisi · United States · joined 10 Dec 2013

Options trader since 2020 · Power trader · Building trading tools with AI · Featured in @WSJ EDU purposes only • NFA

34 923Followers
396Following
25 271Posts total
27.2KViews on collected posts

Latest posts

You were right on direction and still lost money. That's not bad luck — you bought the wrong options contract. Five numbers explain why. Takes 3 minutes. https://t.co/HL97oF6Zsr
2.2K views · 20 likes · 3 reposts · 2 replies Open on X →
$KLAC breaking the downtrend with volume expanding underneath it. Looking for longs. Wrote the setup, 3 Nov 20 $200 calls, capped at $13, invalidation at $179.70. Public's agent placed the trade. Chart to thesis to execution without me touching the ticket. https://t.co/Bv5XGOO
1.9K views · 6 likes · 2 reposts · 2 replies Open on X →
@ivincentdelisi @public 🫡 105 views · 2 likes · 0 reposts · 0 replies Open on X →
Signup for Public if you want to start building your own trading tools and use agents to optimize your portfolio: https://t.co/gHutyi3a9n 328 views · 1 likes · 0 reposts · 0 replies Open on X →
My Gamma Dashboard built with the @public API: https://t.co/Q6YADoGA52
1:19
3.5K views · 29 likes · 4 reposts · 5 replies Open on X →
$CSCO Daily Chart Bull flag on the daily time frame Looks similar to $IBM before it broke out https://t.co/COzbZJTbdB
2.2K views · 9 likes · 0 reposts · 2 replies Open on X →
@ivincentdelisi @public You are doing some cool stuff dude! This is awesome! 740 views · 5 likes · 0 reposts · 1 replies Open on X →
@ivincentdelisi @public Great dash! Have you thought about how you would execute with GEX data yet? 787 views · 7 likes · 0 reposts · 1 replies Open on X →
@ivincentdelisi @public It is INSANE what retail investors can do with the Public API 🤯 719 views · 4 likes · 0 reposts · 1 replies Open on X →
Built a live options board this week. No paid data subscription — the whole thing runs on the @public API and a few hundred lines of Python. Strike-level gamma exposure, implied move from the ATM straddle, volume vs open interest across the chain. One command. SPY at 759.13 htt
14.7K views · 126 likes · 5 reposts · 15 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views1 337this account924median for 10K–100K
Reach, %3.83%this account3.62%median for 10K–100K
Engagement, %0.90%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 3379241.45×
Reach (views ÷ followers)3.83%3.62%1.06×
Engagement rate0.90%1.52%0.59×

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

14.7K18 Sep
719
787
740
2.2K22 Sep
3.5K
328
105
1.9K
2.2K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.99%18 Sep
0.70%
1.02%
0.81%
0.49%22 Sep
1.08%
0.30%
1.90%
0.53%
1.15%

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

What the audience does

Likes42.7%209 in total
Reposts2.9%14 in total
Replies5.9%29 in total
Bookmarks48.5%237 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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