Built by Data Intelligence Lab

Ground your AI Trading decisionsin Empirical Reality

Gain a 6-month head start over competitors. A dataset built on millions of real trades for training hallucination-free AI advisors.

96.9%
Accuracy
1-2 days
Integration
$750
per month
Production proven • Millions of operations • Ready for fine-tuning
Training Examples by Quality Tier
Training Examples
96% Accuracy Results
96% Accuracy Proof
The Core Problem

AI that sounds smart vs AI that makes defensible decisions

Most models teach AI what people write about the market (Reddit, Investopedia).

Our dataset teaches how strategies actually behave in reality
Built on millions of real operations, not social media opinions.
Key Features - No Hallucinations, Chain-of-Thought, Statistical Rigor
No Hallucinations
Evidence-Based
Chain-of-Thought
15+ Reasoning Steps
Deep Dive

Inside the Dataset: Instruction-Input-Output Architecture

JSONL Structure - System, User, Assistant roles with Chain-of-Thought
SYSTEM Role
Strict anti-hallucination policy and focus on evidence-based reasoning. Sets the foundation for trustworthy AI behavior.
USER Role
Specific analysis requests detailing strategy names and testing scopes. Clear instructions for reproducible results.
ASSISTANT Role
15+ "Why:" reasoning statements (Chain-of-Thought) in every example. Teaches logic, not memorization.
Structured Objects
Nested performance metrics, parameter sensitivity analysis, and quantitative risk assessments in every training example.
Scale & Proof

Millions of Real Trades on Data Intelligence Lab Infrastructure

Hundreds of validated patterns. Every training example is the result of 500+ backtest variations across various market regimes.

Asset vs Pattern Performance Matrix
Asset vs Pattern Matrix
Facts and Why statements per example
Reasoning Density Metrics
500+
Backtest variations per example
40-60
Facts analyzed per example
All Regimes
Bull, bear, sideways testing
Instability Zones Included
We analyze where strategy logic breaks. AI learns from failures, not just successes — critical for robust decision-making.
Distribution of Tiers 1-4 and training weights
Tier 1 Premium
Fitness > 0.6
Quality Control

Mathematical Confidence

We don't feed the model "noise." 1.0x training weight is reserved exclusively for Tier 1 (Premium) examples with fitness score > 0.6.

1
Tier 1 - Premium
Fitness > 0.6 • 1.0x weight • Highest quality patterns
2
Tier 2 - Standard
Fitness 0.4-0.6 • Reduced weight • Good patterns
3-4
Tier 3-4 - Context
Lower fitness • Minimal weight • Learning from failures
Weighted training ensures AI learns most from proven patterns while understanding failure modes.
Integration & ROI

Ready for Fine-tuning & RAG. Integration in 1-2 Days

Use our JSONL format for OpenAI, Claude, Llama, or as a high-fidelity knowledge base for RAG systems. Skip months of data engineering.

Fine-tuning Ready
OpenAI, Claude, Llama compatible
RAG Integration
High-fidelity knowledge base
1-2 Days Setup
Production deployment speed
Starting at $750/month • Enterprise pricing available
Stable training progress - decreasing loss and accuracy growth
Training Progress
Stable Loss ↓
Peak Accuracy
96% →