AI Broker
AI-Powered Multi-Agent Trading Platform
Democratizing institutional-grade algorithmic trading through specialized AI agents,
bridging equities and prediction markets for retail and institutional investors
bridging equities and prediction markets for retail and institutional investors
$13.5B AI Trading Market → $70B by 2034
The Problem
⚠️
Lack of Institutional Tools
Retail traders miss complex market signals, macro indicators, and sharp money movements
📊
Prediction Market Complexity
$10B+ monthly volume, yet most traders can't extract actionable intelligence at scale
🔍
Information Overload
Sentiment shifts, insider transactions, and technical signals require 24/7 monitoring
💸
High Barrier to Entry
Algorithmic trading infrastructure is expensive and requires deep technical expertise
Our Solution
Multi-Agent AI System
Specialized AI agents work collaboratively to analyze markets, debate strategies, and execute trades with institutional-grade precision
🤖
Analyst Team: Fundamentals, Sentiment, News, Technical
💬
Researcher Team: Bull vs. Bear structured debate
⚡
Trader Agent: Entry/exit timing + position sizing
🛡️
Risk Manager: Volatility, liquidity, correlation analysis
✅
Portfolio Manager: Final approval layer
Bridges Equities + Prediction Markets
Polymarket, Kalshi, Traditional Exchanges
Market Opportunity
$13.5B → $70B
AI Trading Platform Market
20% CAGR from 2025 to 2034
$21B → $43B
Algorithmic Trading Market
Growing at 8-10% annually through 2030
$10B+
Prediction Markets Monthly Volume
Polymarket + Kalshi combined (Nov 2025)
Regulatory Tailwind
Kalshi $11B valuation, $1B raise
Institutional adoption accelerating
CFTC-regulated exchanges emerging
Institutional adoption accelerating
CFTC-regulated exchanges emerging
Product Overview
🎯
Multi-Agent Analysis
Analyst + Researcher teams debate insights, Trader agent executes with precision
⚡
4-6 Algorithmic Strategies
Momentum, Mean Reversion, Breakout, Scalping, Prediction Market Arbitrage
📊
Real-Time Signal Scoring
Weighted scoring: 30% technical, 20% VIX, 15% PE, 20% sentiment, 15% insider
🔗
Prediction Market Integration
Track sharp traders on Polymarket/Kalshi, copy trades, exploit mispricings
🛡️
Institutional Risk Management
Dynamic position sizing, stop losses, portfolio correlation, stress testing
24/7 Automated Trading • Real-Time Alerts • Copy Trading
Multi-Agent Architecture
📊
Analyst Team
Fundamentals, Sentiment, News, Technical agents gather parallel data streams
💬
Researcher Team
Bull vs. Bear agents debate insights using structured frameworks
⚡
Trader Agent
Synthesizes debate output, determines entry/exit timing + position size
🛡️
Risk Manager
Evaluates volatility, liquidity, portfolio correlation before execution
✅
Portfolio Manager
Final approval layer with veto power on all transactions
Hierarchical Orchestration
Centralized coordinator delegates tasks to specialized agents with domain-specific tools and memory
Algorithmic Strategies
Momentum Trading
50-60%
Capitalizes on trending markets by following price movements and volume surges
Best for: Trending markets, breakout scenarios
Mean Reversion
55-65%
Identifies overbought/oversold conditions and trades expected price corrections
Best for: Range-bound markets, volatile oscillations
Breakout Trading
45-55%
Captures explosive moves when price breaks through key resistance/support levels
Best for: High volume rallies, news-driven events
Scalping / Day Trading
60-70%
Exploits small intraday price movements with rapid entry/exit execution
Best for: High liquidity, tight spreads
Prediction Market Arbitrage
Variable
Exploits mispricings between prediction markets and traditional exchanges
Best for: Event-driven opportunities, sharp trader tracking
Prediction Market Integration
🔗
Direct Integration
Seamlessly connect with Polymarket and Kalshi APIs for real-time order execution and data ingestion
🐋
"Sharp Trader" Tracking
Monitor wallet addresses of historically profitable whales and public figures (e.g., senators, CEOs)
🤖
LLM Arbitrage Analysis
Agents analyze news events vs. prediction probabilities to find +EV setups missed by the crowd
Risk Management Engine
Dynamic Position Sizing
Kelley Criterion integrated with volatility scaling to optimize bet sizes
Automated Stop-Losses
Trailing stops and hard stops executed at the exchange level
Black Swan Protection
Portfolio de-risking during extreme VIX spikes or macro events
Correlation Matrix
Prevents over-exposure to single sectors or related assets
Platform Architecture
📡
Data Ingestion Layer
Real-time websockets (Alpha Vantage, Polygon.io) + News APIs + On-chain listeners
🤖
Multi-Agent Processing
LLM-powered analysis, structured debate, signal generation, outcome prediction
⚡
Execution Engine
Low-latency order routing, broker integrations, copy-trading mechanics
🛡️
Risk & Compliance
Real-time monitoring, portfolio management, regulatory compliance checks
📱
User Interface
Web + mobile dashboards, real-time alerts, customizable views
Technology Stack
Python
Node.js
React
AWS/GCP
LLMs
WebSockets
Competitive Advantage
AI Broker
✓ Multi-Agent AI
✓ Prediction Markets
✓ 4-6 Strategies
✓ LLM Research
✓ Copy Trading
✓ Institutional Risk
Trade Ideas
✓ AI Signals
✗ Equities Only
✓ Technical Focus
✗ No Debate
✗ No Copy Trading
Basic Risk
Alpaca/IBKR
Basic Algos
✗ Broker Lock-in
Limited Strategies
✗ Minimal AI
✗ No Prediction
Standard Risk
Hedge Funds
Manual Research
High Fees (2/20)
Slow Decisions
✗ Centralized
✗ No Retail Access
✓ Strong Risk
🧠
True Multi-Agent Reasoning
Bull vs. Bear debate creates robust logic
🔗
Prediction Market Bridge
Bridging equities and event markets
🎯
Democratized Access
Institutional tools at retail prices
Business Model
💳
Subscription Tiers
Free tier (basic signals), Pro ($29-99/mo), Enterprise ($500+/mo)
📈
Performance Fees
10-25% of net gains on user accounts - aligns incentives like hedge funds
🏢
Enterprise Licensing
White-label platform for brokers, funds, fintech partners (5-6 figure annual)
👥
Copy-Trading Fees
2-5% commission on copied trades from sharp traders (Polymarket leaderboard)
🔌
API Access
B2B2C: Other platforms pay for direct access to AI Broker signals
Revenue Projections
Year 1
$750K
500 paid users
Year 2
$5.4M
3K paid users
Year 3
$27M
12K paid users
Unit Economics
CAC
$50-100
LTV
$1.5-3K
LTV:CAC
20-40x
Margin
75-80%