home / skills / openclaw / skills / apewisdom

apewisdom skill

safe

This skill scans Reddit for trending tickers and sentiment shifts using ApeWisdom data to identify meme stocks and momentum opportunities.

npx playbooks add skill openclaw/skills --skill apewisdom

Review the files below or copy the command above to add this skill to your agents.

Files (3)

SKILL.md

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---
name: apewisdom
description: Scan Reddit for trending stocks and sentiment spikes using the ApeWisdom API (free). Use this to find "meme stocks", retail momentum, and sentiment shifts on r/wallstreetbets.
---

# ApeWisdom Reddit Scanner

Scan Reddit (r/wallstreetbets, r/stocks, etc.) for trending tickers and sentiment spikes.

## Usage

This skill uses a Python script to fetch live data from ApeWisdom.

### Basic Scan (Top Mentions)
Get the top 20 most discussed stocks right now.

```bash
skills/apewisdom/scripts/scan_reddit.py
```

### Find Spikes (Momentum)
Find stocks with the biggest **24h increase** in mentions (ignoring low volume noise). This is the best way to find "breaking" meme stocks like $SNDK.

```bash
skills/apewisdom/scripts/scan_reddit.py --sort spike
```

### Specific Subreddits
Filter by specific communities.

```bash
# WallStreetBets only
skills/apewisdom/scripts/scan_reddit.py --filter wallstreetbets

# SPACs
skills/apewisdom/scripts/scan_reddit.py --filter SPACs

# Crypto
skills/apewisdom/scripts/scan_reddit.py --filter all-crypto
```

## Output Fields

- `ticker`: Stock symbol
- `mentions`: Mentions in the last 24h
- `mentions_24h_ago`: Mentions in the previous 24h period
- `change_pct`: Percentage increase/decrease in chatter
- `upvotes`: Total upvotes on posts mentioning the ticker

Overview

This skill scans Reddit communities for trending stock tickers and sudden sentiment spikes using the ApeWisdom API (free). It surfaces top mentions, momentum spikes, and community-specific chatter to help identify meme stocks and retail-driven moves. The tool is designed for quick discovery of retail momentum on subreddits like r/wallstreetbets.

How this skill works

The script queries ApeWisdom for recent Reddit posts and aggregates ticker mentions, upvotes, and historical counts. It calculates metrics such as total mentions, mentions 24 hours ago, and percentage change to highlight breaking momentum. Filters let you restrict results to specific subreddits or topic groups for targeted scans.

When to use it

When you want to discover newly emerging meme stocks driven by retail chatter.
To detect large 24h spikes in mentions that suggest a sentiment shift or viral post.
When monitoring specific communities (r/wallstreetbets, r/stocks, crypto groups) for localized momentum.
For screening tickers before deeper fundamental or technical analysis.
To add social-sentiment signals into a broader trading or research workflow.

Best practices

Ignore tiny-volume tickers; the spike filter already reduces noise but verify absolute mention counts.
Combine mention spikes with price and volume data before making trading decisions.
Filter by subreddit to separate broad-market trends from community-specific memes.
Use the top-mentions scan for general monitoring and the spike sort for breaking events.
Review upvote totals and recent posts to confirm the quality and context of chatter.

Example use cases

Run a daily top-mentions scan to maintain a watchlist of high-retail-interest tickers.
Use the spike sort to detect the earliest signals of a viral meme stock and investigate further.
Filter scans to r/wallstreetbets only when hunting high-beta retail-driven moves.
Monitor crypto-related subreddits to capture sudden surges in token mentions tied to news.
Integrate mention-change metrics into an automated alerting system for research desks.

FAQ

What metrics does the scanner return?

It returns ticker, mentions (last 24h), mentions_24h_ago, change_pct, and upvotes.

How do I find breaking momentum versus noise?

Sort by spikes (24h percentage increase) and ignore entries with low absolute mentions to reduce false positives.