AI Model Builder

Build Your Custom
Financial Oracle

Configure, train, and deploy personalized deep learning models tailored to your exact asset universe and strategy objectives. No ML expertise required.

info

Interactive Showcase — This demonstrates how the Stratify Model Builder works. Configure parameters below and run a simulated training session to see the experience.

input

Input Data Sources

Technical Indicators
RSI, MACD, Bollinger, ATR
Sentiment Engine
News, Earnings, Social
Macro Data
CPI, GDP, Fed Rate
Order Flow
Volume Profile, DOM Depth
schedule

Prediction Horizon

Target horizon 4 Hours
1m15m1H4H1D1W1Q
tune

Hyperparameters

Learning Rate 3e-4
1e-51e-43e-41e-31e-2
Attention Heads 8
2481216
Dropout Rate 0.20
0.00.10.20.30.5
library_books

Feature Library

Click to select
Volume Profile
VWAP
Order Flow Imbalance
Skewness Index
Options IV Spread
Earnings Sentiment
Fed Sentiment NLP
Cross-Asset Correlation
Momentum Factor
Seasonality
Insider Activity
Short Interest Ratio
insert_chart

Simulation Sandbox

Live preview
FORECAST
Actual ■
Forecast ⋯
Confidence Band
73.2%
Directional Acc.
2.4x
Sharpe Ratio
-8.1%
Max Drawdown
terminal

Training Console

Configure your model parameters above, then initiate training to see a simulated run.

// Model summary
Architecture: Transformer-XL
Features selected: 4
Training data: 2018-01-01 → 2025-12-31
Estimated training time: ~2.5 minutes
Training Progress 0%
Epoch 0 / 50
check_circle Training Complete
Val Loss: 0.0342
Direction Acc: 74.8%
Sharpe: 2.71
Max DD: -7.2%
Deploy Model

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