Chande Kroll Stop (ta.cksp)

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Form long and short reference stop levels from price extremes and volatility.

Indicator catalog · How to use indicators

Run this example

This complete script uses bundled data. It observes the selected output without placing trades.

import numpy as np
from openbacktesting import Backtest, Strategy
from openbacktesting.test import GOOG

data = GOOG.copy()

class Example(Strategy):
    def init(self):
        self.value = self.ta.cksp()
        self.latest_value = None

    def next(self):
        channel = self.value.long
        if channel.valid[-1]:
            self.latest_value = float(channel[-1])

result = Backtest(data, Example).run()
print(result["_strategy"].latest_value)

Call and parameters

self.ta.cksp(*, p=10, x=3, q=20, tvmode=True, inputs=None, backend=None, required_outputs=None)

Register in init(). Read the returned channel in next() after checking valid[-1].

Parameter	Meaning	Type	Default	Allowed values
p	ATR and first stop window in bars.	int	10	Minimum: 1
x	ATR multiplier for the initial stop.	int	3	Minimum: 1
q	Second stop lookback in bars.	int	20	Minimum: 1
tvmode	Use the TradingView-style Chande Kroll formula instead of the book variant.	bool	True	No additional constraints

source/named source arguments accept a column name or same-run single-channel handle. Alternatively, inputs maps each input below to a column or handle. backend selects a supported implementation; required_outputs selects channels for readiness diagnostics. See shared arguments and handles.

Inputs and outputs

Required inputs: high, low, close.

Channel	Meaning
long	Long-side output
short	Short-side output

Reading values safely

Insufficient history or missing inputs can make a channel invalid. Check that channel's valid mask; ready is diagnostic and never suppresses next(). Multi-output results may have different valid channels on the same bar.

Indicator catalog · Custom calculations