Track prediction market price history automatically in a database

Pulls historical price data from prediction markets and stores it in a database for analysis.

How the work actually flows

A straight line. Runs once per one per market event.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("market submitted for tracking")):::human s0["identify related events"]:::task s1[["pull price data per event"]]:::mi s2["filter out closed markets"]:::task s3[("store price history")]:::store trig --> s0 s0 -->|"one per one per market event"| s1 s1 --> s2 s2 --> s3 out[/"structured price history database"/]:::out pay{{"reliable dataset for strategy testing"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsReporting & AnalyticsResearch & Market IntelligenceSurvey & Feedback
Connects
Supabase

The problem it solves

You want to analyze prediction market trends but pulling and organizing price history by hand is tedious and error-prone. Without a reliable historical dataset, it's hard to test strategies or spot patterns with confidence.

Who it fits

Traders, data analysts, and researchers studying prediction market price movements.

How it works

  1. You submit the market you want to track
  2. The system identifies the related events and pulls their price data
  3. Closed markets are filtered out so only historical data is processed
  4. Price history is stored in a database, ready for analysis
What you get

Price history ready for analysis, no manual pulls

You get historical price data for any prediction market pulled and stored automatically, ready whenever you want to analyze it.

What you get

A structured, query-ready database of historical market prices.

What you need

A Supabase account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Track Reddit mentions of your brand with AI sentiment analysis

Scans Reddit alerts for mentions of your brand, tags the sentiment and topic with AI, and builds a dashboard of insights.

Advanced

Track GitHub trending repos automatically into a Supabase database

Scrapes GitHub's trending page daily, weekly, and monthly, and stores clean results in a database.

Standard

Publish a daily AI-generated Bitcoin market report

AI analyzes Bitcoin price trends and news, then posts a daily market report to your website automatically.

Advanced

Turn every customer survey into a clear action plan

AI reads each survey response, scores satisfaction, and flags urgent complaints so your team knows what to fix first.

Advanced
Back to the AI Playbook