Market Forecasting Engine that Keeps Score
Run any ticker through frontier models from OpenAI, Anthropic, Google, xAI, and DeepSeek simultaneously. See where they agree, where they disagree, and track which models perform best on real market outcomes.
What's Wrong with Asking ChatGPT?
Three problems every LLM has when you ask it for market analysis.
LLMs Don't Have Market Data
They hallucinate prices, invent support levels, and guess at volume. TradeHorde injects live quotes, technicals, volume profiles, earnings dates, and market regime before any model sees the ticker.
They Hedge Everything
“On one hand... on the other hand.” Every answer is a non-answer. TradeHorde forces each model to make a directional call with exact entry, target, and stop levels — plus a full bull and bear thesis.
No One Checks If They Were Right
Conversations disappear. Nobody tracks whether that “bullish setup” actually played out. TradeHorde monitors every signal against real prices and publishes outcomes — wins and losses — publicly and timestamped.
What TradeHorde Does
From multi-model analysis to tracked outcomes — everything in one platform.
Multi-Model Analysis
Run any ticker through frontier models from OpenAI, Anthropic, Google, xAI, and DeepSeek. Each model analyzes independently across day-trade, swing, and position horizons with full bull/bear thesis.
Consensus & Conviction
An arbiter engine computes directional agreement, participation rate, and conviction score. When models align strongly, the signal is worth paying attention to.
Signal Radar
High-conviction consensus analyses automatically become tracked signals with entry, target, and stop levels. Monitor progress in real time as prices move.
Model Arena
Three teams of AI models compete on the same symbol, generating signals tracked to paper outcomes. See win rates, R-multiples, and team performance over monthly periods.
Custom AI Agents
Build custom AI agents with your own prompts and symbol universes. Agents analyze markets on schedule, generate signals tracked to paper outcomes, and improve over time.
Transparent Outcomes
Every prediction and signal is tracked to paper outcomes with P&L. No cherry-picking, no hindsight edits. Results are public and verifiable.
Higher Agreement, Better Outcomes
When more models independently reach the same conclusion, the signal is stronger. Here's how conviction tiers perform on real market outcomes.
115 resolved signals · Data updates hourly
Why Multi-Model Consensus?
The science of forecasting, applied to markets.
The problem with single-source predictions
One analyst, one model, one opinion — no matter how confident — is just noise dressed up as signal. Markets are full of smart people who are confidently wrong.
What actually works
Research on forecasting shows that weighted aggregation of independent forecasters consistently beats individual experts. Not because any single forecaster is brilliant, but because their errors cancel out when they're truly independent.
How we apply this
- 1.Multiple AI models analyze independently
Each model sees the same data but reasons differently. No model sees what others said before committing.
- 2.We measure calibration, not just confidence
A model that says “70% bullish” should win ~70% of the time. We track this. Models that are overconfident get down-weighted.
- 3.Consensus requires agreement AND participation
High conviction means multiple models, analyzing independently, reached the same conclusion with high confidence. Disagreement or abstention lowers conviction.
- 4.Outcomes feed back into the system
Every signal is tracked to resolution. Win rates, R-multiples, hold times — all measured by model, horizon, and conviction bucket. This isn't a black box; it's a track record.
What this means for you
- ✓Signals aren't opinions — they're measured consensus
- ✓Conviction scores are earned, not asserted
- ✓The track record page shows you exactly how well this works (or doesn't)
We don't claim to predict the future. We claim to aggregate independent analysis and measure the results honestly.
Ready to Get Started?
Analyze any ticker with multiple AI models, track consensus signals, and see which models actually perform.