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PyIndicators

PyIndicators is a powerful and user-friendly Python library for financial technical analysis indicators, metrics and helper functions. Written entirely in Python, it requires no external dependencies, ensuring seamless integration and ease of use.

Marketplace​

We support Finterion as our go-to marketplace for quantitative trading and trading bots.

Works with the Investing Algorithm Framework​

PyIndicators works natively with the Investing Algorithm Framework for creating trading bots. All indicators accept the DataFrame format returned by the framework, so you can go from market data to trading signals without any conversion or glue code.

from investing_algorithm_framework import download
from pyindicators import ema, rsi, supertrend

# Download data directly into a DataFrame
df = download(
    symbol="btc/eur",
    market="binance",
    time_frame="1d",
    start_date="2024-01-01",
    end_date="2024-06-01",
    pandas=True,
    save=True,
    storage_path="./data"
)

# Apply indicators — no conversion needed
df = ema(df, source_column="Close", period=200)
df = rsi(df, source_column="Close")
df = supertrend(df, atr_length=10, factor=3.0)

Features​

  • Native Python implementation, no external dependencies needed except for Polars or Pandas
  • Dataframe first approach, with support for both pandas dataframes and polars dataframes
  • Supports python version 3.10 and above
  • Over 45 technical indicators covering trend, momentum, volatility, support/resistance, and pattern recognition
  • Smart Money Concepts (SMC) / ICT indicators including Order Blocks, Breaker Blocks, Fair Value Gaps, Liquidity Sweeps, and more