On-Balance Volume (OBV)
get_obv(quotes, sma_periods=None)
Parameters
| name | type | notes |
|---|---|---|
quotes |
Iterable[Quote] | Iterable(such as list or an object having __iter__()) of the Quote class or its sub-class. • Need help with pandas.DataFrame? |
sma_periods |
int, Optional | Number of periods (N) in the moving average of OBV. Must be greater than 0, if specified. |
Historical quotes requirements
You must have at least two historical quotes to cover the warmup periods; however, since this is a trendline, more is recommended.
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.
Return
OBVResults[OBVResult]
- This method returns a time series of all available indicator values for the
quotesprovided. -
OBVResultsis just a list ofOBVResult. - 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 period OBV will have
0value since there’s not enough data to calculate.
ObvResult
| name | type | notes |
|---|---|---|
date |
datetime | Date |
obv |
float | On-balance Volume |
obv_sma |
float, Optional | Moving average (SMA) of OBV based on sma_periods periods, if specified |
Warning: absolute values in OBV are somewhat meaningless. Use with caution.
Utilities
-
.to_quotes()[deprecated] - .find(lookup_date)
- .remove_warmup_periods(qty)
See Utilities and Helpers for more information.
Example
from stock_indicators import indicators
# This method is NOT a part of the library.
quotes = get_history_from_feed("SPY")
# Calculate
results = indicators.get_obv(quotes)
About On-Balance Volume (OBV)
Popularized by Joseph Granville, On-balance Volume is a rolling accumulation of volume based on Close price direction.
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