Atlas Intelligence Network

Decision Intelligence Layer

Atlas combines whale behavior, market structure, liquidity, historical outcomes, and future external signals into one continuously learning decision engine.

Modules

8

Live Modules

4

Sources

4,383

Active Weight

92%

Total Weight

100%

Network Confidence

89%

Disclosure: Today’s EDGE Score uses active modules only. Planned modules are shown for roadmap transparency and do not currently affect recommendations. As new modules go live, Atlas will recalibrate historical performance and confidence by market category.

Intelligence Modules

Elite Sports Specialists

Live

Prediction Market Specialists

High-performing sports wallets weighted by category ROI, timing, and resolved outcomes.

Weight

28%

Sources

18

Confidence

97%

Signal

Bullish

Market Data

Live

Market Intelligence

Price, liquidity, spread, volume, open interest, volatility, and market depth.

Weight

22%

Sources

6

Confidence

91%

Signal

Bullish

Wallet Quality Engine

Live

Prediction Market Specialists

Scores each source by historical hit rate, average ROI, market specialty, and discipline.

Weight

18%

Sources

64

Confidence

88%

Signal

Bullish

Historical Pattern Engine

Learning

Historical Learning

Compares current setups against prior resolved signals and similar market structures.

Weight

10%

Sources

4,281

Confidence

81%

Signal

Neutral

Counter-Flow Detection

Live

Market Intelligence

Tracks opposing smart-money capital and whether it is increasing, fading, or exiting.

Weight

7%

Sources

12

Confidence

79%

Signal

Mixed

Verified Resolution Ledger

Saved

Historical Learning

Stores every EDGE recommendation before resolution and learns from final outcomes.

Weight

7%

Sources

2

Confidence

74%

Signal

Neutral

External Event Feed

Planned

External Intelligence

Future catalyst layer for injury news, weather, economic calendars, and breaking market context. Weight will adjust by market category.

Weight

5%

Sources

0

Confidence

0%

Signal

Neutral

User Behavior Signals

Planned

Personalization

Future source for what users follow, save, ignore, execute, and revisit.

Weight

3%

Sources

0

Confidence

0%

Signal

Neutral

How Atlas Learns

Each recommendation stores the state of every intelligence module at decision time.

When the market resolves, Atlas compares the original signal weights against the outcome and recalibrates future confidence.

The goal is not to copy whales. The goal is to learn which signals deserve trust in each market type.

Module Groups

Prediction Market Specialists

2 modules

Market Intelligence

2 modules

Historical Learning

2 modules

External Intelligence

1 modules

Personalization

1 modules

Next Data Sources

• Real Polymarket resolution feed

• Kalshi markets and outcomes

• Injury/news/event feeds

• Closing line value tracking

• Personalized user watch behavior