Welcome to PyneScript V6

Introduction to PyneScript V6 — a Python scripting language for algorithmic trading on the ATK platform.

What is PyneScript V6?#

PyneScript V6 is a Python-based scripting language designed for algorithmic trading on the ATK platform. It provides a familiar Python syntax with built-in support for technical analysis, strategy backtesting, and rich chart visualizations.

Key Features#

Python syntax — Write trading logic using familiar Python patterns with pandas DataFrames
50+ technical indicators — Built-in ta.* namespace with EMA, RSI, MACD, Bollinger Bands, and more
Strategy backtesting — Full execution realism with slippage, commission, and order fill simulation
Rich visuals — Plot overlays, shapes, tables, candles, and profiles via the ATK graphics bridge
Library ecosystem — Publish and import reusable libraries across scripts
Multi-timeframe — request.security() for seamless cross-timeframe data access

Script Types#

PyneScript V6 supports two primary script types:

Indicators#

Indicators compute and visualize data on charts without generating trade signals.

from source import indicator, input, ta, plot

indicator("My RSI", overlay=False)

length = input.int(14, title="RSI Length", key="len")

def build_indicator_frame(df, params=None):
    df["rsi"] = ta.rsi(df["close"], length)
    return df

Strategies#

Strategies generate trade signals and can be backtested with execution realism.

from source import strategy, input, ta, build_mapped_trade_frame

strategy("EMA Cross", overlay=True, process_orders_on_close=True)

fast = input.int(9, title="Fast EMA", key="fast")
slow = input.int(21, title="Slow EMA", key="slow")

def build_signal_frame(df, params=None):
    fast_ema = ta.ema(df["close"], fast)
    slow_ema = ta.ema(df["close"], slow)
    df["mapped_entry_side"] = "BUY"
    df["mapped_entry_side"] = df["mapped_entry_side"].where(
        ta.crossover(fast_ema, slow_ema), None
    )
    return df

def build_trade_frame(signal_df, **kwargs):
    return build_mapped_trade_frame(signal_df)