AI & Machine Learning
Skip the data engineering. Get 42 pre-calculated technical indicators as clean, structured features ready to feed directly into your ML models, neural networks, and reinforcement learning agents.
ML Feature Engineering Made Easy
42 Pre-Calculated Features
RSI, MACD, Bollinger Bands, ADX, and 38 more — all computed server-side with correct formulas. No indicator library needed.
Multi-Timeframe Features
Same indicator across 7 timeframes = 294 features per symbol. Rich feature space for model training.
Historical Data
Up to 500 bars per request for training data. Fetch historical indicator values alongside OHLCV for supervised learning.
Clean JSON Format
Consistent, typed JSON responses. Drop directly into pandas DataFrames or numpy arrays.
Common ML Applications
Price Direction Prediction
Classification models (Random Forest, XGBoost, LSTM) predicting next-bar direction using indicator features.
Regime Detection
Unsupervised clustering (K-Means, HMM) to identify trending vs ranging markets from ADX, ATR, and Bollinger Width.
Reinforcement Learning
RL agents using indicator values as state observations for automated trading strategies.
Anomaly Detection
Detect unusual market conditions (flash crashes, liquidity gaps) using indicator deviation from norms.
Feature Groups
| Category | Indicators | ML Use |
|---|---|---|
| Trend | SMA, EMA, MACD, ADX, Ichimoku | Direction features |
| Oscillators | RSI, Stochastic, CCI, Williams %R | Momentum features |
| Volatility | BB, ATR, StdDev | Risk / regime features |
| Volume | OBV, MFI, A/D, Tick Vol | Flow / confirmation features |
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