Reddit Opportunity Scout

An Apify-ready Python Actor that scans one finance-heavy subreddit via the Arctic Shift Reddit mirror API, detects tracked assets/themes, and returns ranked narrative-aware opportunities for traders, researchers, and watchlist builders.

Store-ready positioning

Who this is for

• retail traders building watchlists
• finance researchers monitoring retail sentiment
• newsletter / dashboard builders who want structured Reddit idea flow

Core promise

Give me one subreddit and I get back the dominant narratives, the leading names inside each one, and a ranked shortlist of what deserves attention first.

Why this is more sellable than a generic AI wrapper

• one narrow input domain: a single subreddit
• one narrow output shape: narrative-aware ranked opportunity rows
• dataset items map cleanly to buyer value
• pay-per-event pricing can map to one opportunity row = one monetizable event

What it does

• fetches recent posts from arctic-shift.photon-reddit.com
• matches topics using aliases and ticker-aware token logic
• samples comments for lightweight confirmation / disagreement signals
• computes confidence, opportunityScore, and rankLabel
• enriches each row with narrative, sentimentBias, momentumLabel, mentionShare, and supportingTickers
• creates an executive narrative summary for the whole run
• pushes one dataset item per returned opportunity
• exposes a custom charge event name: opportunity-found

Inputs

Field	Purpose
subreddit	subreddit name without /r/
postLimit	number of recent posts to scan
commentsPerPost	number of comments sampled per matched post
minConfidence	drop weak opportunities below this threshold
maxOpportunities	cap dataset output size
minPostScore	ignore low-score posts
watchlist	boost assets you care about

Output shape

Each dataset item now includes fields like:

• topic
• ticker
• narrative
• narrativeDescription
• signalLabel
• confidence
• opportunityScore
• rankLabel
• sentimentBias
• momentumLabel
• mentionShare
• posts
• engagementScore
• supportingTickers
• isOnWatchlist
• topPostTitle
• topPostUrl
• executiveSummary

The run-level summary also includes:

• dominantNarratives
• executiveSummary
• hotTopics
• watchTopics
• noiseTopics

Practical Store listing angle

Do not market it as “AI finds winning trades.”

Better positioning:

• Reddit narrative scanner for traders
• retail sentiment scout
• subreddit idea triage for traders and researchers
• narrative monitor for finance dashboards and newsletters

Known limitations

• depends on Arctic Shift availability rather than official Reddit API access
• sentiment is lightweight keyword logic, not full semantic finance NLP
• no live price / fundamentals confirmation yet
• some subreddits are noisy enough that tuning minConfidence and minPostScore matters a lot

Why teams use it

• surface the most discussed names inside one finance subreddit
• spot which narrative is gaining traction first
• turn noisy Reddit discussion into a small ranked watchlist
• feed dashboards, research workflows, or newsletter triage with structured rows instead of raw threads

Pricing

This Actor is designed around Pay Per Event pricing so buyers pay for returned opportunities rather than vague AI output.

What makes it useful

• one run returns a compact shortlist instead of a feed dump
• each item includes a source post and an executive summary
• works well for manual review, watchlist building, and downstream automation