# Schaff Trend Cycle

get_stc(quotes, cycle_periods=10, fast_periods=23, slow_periods=50)

## Parameters

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

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

`cycle_periods` | int, default 10 | Number of periods (`C` ) for the Trend Cycle. Must be greater than or equal to 0. |

`fast_periods` | int, default 23 | Number of periods (`F` ) for the faster moving average. Must be greater than 0. |

`slow_periods` | int, default 50 | Number of periods (`S` ) for the slower moving average. Must be greater than `fast_periods` . |

### Historical quotes requirements

You must have at least `2×(S+C)`

or `S+C+100`

worth of `quotes`

, whichever is more, to cover the convergence periods. Since this uses a smoothing technique, we recommend you use at least `S+C+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.

## Return

```
STCResults[STCResult]
```

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

provided. `STCResults`

is just a list of`STCResult`

.- 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
`S+C`

slow periods will have`None`

values since there’s not enough data to calculate.

⚞

Convergence warning: The first`S+C+250`

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

### STCResult

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

`date` | datetime | Date |

`stc` | float, Optional | Schaff Trend Cycle |

### 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_historical_quotes("SPY")
# Calculate STC(12,26,9)
results = indicators.get_stc(quotes, 10, 23, 50)
```

## About Schaff Trend Cycle

Created by Doug Schaff, Schaff Trend Cycle is a stochastic oscillator view of two converging/diverging exponential moving averages (a.k.a MACD). [Discuss] 💬