# Stochastic Momentum Index (SMI)

get_smi(quotes, lookback_periods, first_smooth_periods, second_smooth_periods, signal_periods=3)

## Parameters

name | type | notes |
---|---|---|

`quotes` | Iterable[Quote] | Iterable of the Quote class or its sub-class. • See here for usage with pandas.DataFrame |

`lookback_periods` | int, default 13 | Lookback period (`N` ) for the stochastic. Must be greater than 0. |

`first_smooth_periods` | int, default 25 | First smoothing factor lookback. Must be greater than 0. |

`second_smooth_periods` | int, default 2 | Second smoothing factor lookback. Must be greater than 0. |

`signal_periods` | int, default 3 | EMA of SMI lookback periods. Must be greater than 0. |

### Historical quotes requirements

You must have at least `N+100`

periods of `quotes`

to cover the convergence periods.

`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

```
SMIResults[SMIResult]
```

- This method returns a time series of all available indicator values for the
`quotes`

provided. `SMIResults`

is just a list of`SMIResult`

.- 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-1`

periods will have`None`

SMI values since there’s not enough data to calculate.

⚞

Convergence warning: The first`N+100`

periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.

### SMIResult

name | type | notes |
---|---|---|

`date` | datetime | Date |

`smi` | float, Optional | Stochastic Momentum Index (SMI) |

`signal` | float, Optional | Signal line: an Exponential Moving Average (EMA) of SMI |

### Utilities

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 SMI(14,20,5,3)
results = indicators.get_smi(quotes, 14, 20, 5, 3)
```

## About Stochastic Momentum Index (SMI)

Created by William Blau, the Stochastic Momentum Index (SMI) is a double-smoothed variant of the Stochastic Oscillator on a scale from -100 to 100. [Discuss] 💬