True Strength Index (TSI)
get_tsi(quotes, lookback_periods=25,smooth_periods=13, signal_periods=7)
||Iterable[Quote]||Iterable(such as list or an object having
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||int, default 25||Number of periods (
||int, default 13||Number of periods (
||int, default 7||Number of periods (
Historical quotes requirements
You must have at least
N+M+100 periods of
quotes to cover the convergence periods. Since this uses a two EMA smoothing techniques, we recommend you use at least
N+M+250 data points prior to the intended usage date for better precision.
quotes is an
Iterable[Quote] collection of historical price quotes. It should have a consistent frequency (day, hour, minute, etc). See the Guide for more information.
- This method returns a time series of all available indicator values for the
TSIResultsis just a list of
- It always returns the same number of elements as there are in the historical quotes.
- It does not return a single incremental indicator value.
- The first
N+M-1periods will have
Nonevalues since there’s not enough data to calculate.
Nonefor all periods if
Convergence warning: The first
N+M+250periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.
||float, Optional||True Strength Index|
||float, Optional||Signal line (EMA of TSI)|
See Utilities and Helpers for more information.
from stock_indicators import indicators # This method is NOT a part of the library. quotes = get_history_from_feed("SPY") # Calculate 20-period TSI results = indicators.get_tsi(quotes, 25, 13, 7)
About True Strength Index (TSI)
Created by William Blau, the True Strength Index is a momentum oscillator that depicts trends in price changes. [Discuss]