> For the complete documentation index, see [llms.txt](https://atm-day.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://atm-day.gitbook.io/docs/algorithms/stream-scalping-algo.md).

# Stream Scalping Algo

Scalp 30%+ once a Pumpfun Stream starts.\
Algo tracks 7k+ stream tokens, applies 20+ filters, selects those most volatile during streams, and alerts when the token is live.

<div><figure><img src="/files/IfXWrvROotWaeqBDcNFS" alt=""><figcaption></figcaption></figure> <figure><img src="/files/Zgu05PIJs68fw3m73gBA" alt=""><figcaption></figcaption></figure></div>

{% hint style="info" %}
Stream Scalping Algo is available to all ATM Pro users with a 1-month or longer subscription
{% endhint %}

### Core Сharacteristics

* Objective: Scalp +30% post-stream window
* Universe: 7,000+ tokens that have streamed on Pumpfun
* Filters: 20+ indicators (liquidity, holder activity, volume spikes, dev flags, stream stats etc.)
* Trigger: alerts when the stream starts for tokens that historically move during streams
* Signal Rate: \~30 tokens/day (after filtering)

### Historical Performance

| Tokens that hit +10% after stream start | 83%  |
| --------------------------------------- | ---- |
| Signals per day                         | \~30 |
| Median ROI to ATH within 1h             | 37%+ |

### Best Use Case&#x20;

Stream Algo works best when you:

1. Want to catch momentum right when streams start
2. Trade high-volatility tokens
3. Want to confirm signal via wallet + volume data
4. Accept that not every call will succeed — but the ones that do can be very profitable