I've been using Perplexity Computer for the majority of my AI workflow lately-
And this is still my favorite project that I've ever built.
The ultimate insider buying tracking tool.
I wanted to find out one question:
Which stocks actually have a high correlation of share price appreciation and insider buying?
What Perplexity Computer built to answer this was truly amazing.
Here's what it did:
It pulled 1,301 real SEC Form 4 insider purchases across 184 S&P 500 stocks over the last 5 years.
Then it tracked what happened to each stock AFTER insiders bought, measuring forward returns, win rates, and purchase frequency.
It combined all of that into a single "Alpha Score" that ranks every stock by how reliably it goes up after insiders buy.
The results?
$COIN: 100% win rate. +187% average return after insider buys.
$ET: 100% win rate. 52 purchases. $514M in total insider buying.
$VST, $LUV, $CAT, $LLY, all 100% win rates.
73% of ALL insider purchases across the S&P 500 led to share price gains.
But it didn't stop there.
It also built:
- A live purchase feed tracking every new SEC filing
- Cluster buy detection (multiple insiders buying the same stock within 14 days)
- A sector heatmap showing where insiders are putting their money
- Top conviction buys (Berkshire's $2.1B OXY position, Musk's $1B TSLA buy)
The whole thing looks like a Bloomberg terminal. Dark theme.
Real time data. Fully interactive. I didn't write a single line of code.
I just told Perplexity Computer what I wanted, and it researched the data, ran the analysis, and built the entire dashboard from scratch.
This is the future of building things with AI.
The best part was that it created a proprietary "Alpha Score" for every stock.
This was a composite ranking from 0 to 100 that weighs four factors:
1. How often insiders bought (frequency)
2. How much money they put in (total value)
3. What percentage of buys led to gains (win rate)
4. How big those gains were (average forward return)
The higher the Alpha Score, the stronger the correlation between insider buying and share price appreciation.
It revealed insights you would've never expected.
The energy sector ended up having the highest Alpha Score, meaning insiders buying energy stocks is very correlated with energy stocks surging.
I have paid for data on insider buying in the past.
I literally built a better tool with Perplexity Computer than the insider buying tools I have been using for the last 3 years.
And this is still my favorite project that I've ever built.
The ultimate insider buying tracking tool.
I wanted to find out one question:
Which stocks actually have a high correlation of share price appreciation and insider buying?
What Perplexity Computer built to answer this was truly amazing.
Here's what it did:
It pulled 1,301 real SEC Form 4 insider purchases across 184 S&P 500 stocks over the last 5 years.
Then it tracked what happened to each stock AFTER insiders bought, measuring forward returns, win rates, and purchase frequency.
It combined all of that into a single "Alpha Score" that ranks every stock by how reliably it goes up after insiders buy.
The results?
$COIN: 100% win rate. +187% average return after insider buys.
$ET: 100% win rate. 52 purchases. $514M in total insider buying.
$VST, $LUV, $CAT, $LLY, all 100% win rates.
73% of ALL insider purchases across the S&P 500 led to share price gains.
But it didn't stop there.
It also built:
- A live purchase feed tracking every new SEC filing
- Cluster buy detection (multiple insiders buying the same stock within 14 days)
- A sector heatmap showing where insiders are putting their money
- Top conviction buys (Berkshire's $2.1B OXY position, Musk's $1B TSLA buy)
The whole thing looks like a Bloomberg terminal. Dark theme.
Real time data. Fully interactive. I didn't write a single line of code.
I just told Perplexity Computer what I wanted, and it researched the data, ran the analysis, and built the entire dashboard from scratch.
This is the future of building things with AI.
The best part was that it created a proprietary "Alpha Score" for every stock.
This was a composite ranking from 0 to 100 that weighs four factors:
1. How often insiders bought (frequency)
2. How much money they put in (total value)
3. What percentage of buys led to gains (win rate)
4. How big those gains were (average forward return)
The higher the Alpha Score, the stronger the correlation between insider buying and share price appreciation.
It revealed insights you would've never expected.
The energy sector ended up having the highest Alpha Score, meaning insiders buying energy stocks is very correlated with energy stocks surging.
I have paid for data on insider buying in the past.
I literally built a better tool with Perplexity Computer than the insider buying tools I have been using for the last 3 years.
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