Trade Buddy

Multi-market prediction intelligence

Research Polymarket, Kalshi, and Limitless in one workspace

Trade Buddy turns fragmented market activity into a structured OSINT process: detect unusual capital, evaluate participants, research catalysts, monitor a thesis, and manage position and exit risk. Drift and Azuro integrations are planned.

Platform pulse

Updates automatically

The data scale behind the research process

An aggregate view of the public market data Trade Buddy already structures to surface relevant capital, participants, and situations that deserve further research.

Total capital under monitoring

$151.7M

Volume surfaced for analysis; $48.3M added during the last 7 days

Markets indexed
405,467
Indexed markets from supported data sources
Participant profiles
341,339
Built from available public activity history
Situations for research
51,602
Surfaced by the system for further human review

Surfaced capital trend

Aggregate activity volume entering the analytical process

6 months
$0
Mar
$0
Apr
$0
May
$8.6M
Jun
$106.0M
Jul
$37.0M
Aug

The chart groups surfaced volume by the month data entered Trade Buddy. It measures analytical coverage, not profit or trading performance.

Only aggregate indicators from public market data are shown. Personal user data and internal operational statistics are not published.

From raw activity to a decision-ready market thesis

Detect capital that deserves attention

Surface unusual entries, accumulation, whale flow, volume spikes, and repeat activity without treating every large trade as alpha.

Evaluate who may be behind the move

Compare visible participant history, repeated behavior, and concentration where public identity allows it.

Research the event, not only the chart

Keep market rules, catalysts, dates, scenario branches, and AI-assisted event roadmaps beside the signal.

Maintain a living watchlist

Connect favorites, notes, reminders, target levels, market changes, and personalized alerts to the same thesis.

Control position and exit risk

Review cost basis, P&L, ROI, liquidity, slippage, hedge context, and possible execution mistakes before risk becomes forced.

A disciplined prediction-market workflow

01

Observe

Collect and normalize public market activity.

02

Detect

Highlight relevant market changes and signals.

03

Verify

Assess participant quality, timing, and coordination.

04

Research

Add event rules, catalysts, and scenarios.

05

Manage

Monitor positions, alerts, liquidity, and exit decisions.

Build research discipline before taking prediction-market risk

Start with a three-day OSINT Pro Trial or compare the full research and alerting capabilities.

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