diff --git a/README.md b/README.md
index ff1aed873..f3c3233db 100644
--- a/README.md
+++ b/README.md
@@ -401,6 +401,11 @@ parameters, unless specified as keyword arguments. Typically, these functions
 will have an initial "lookback" period (a required number of observations
 before an output is generated) set to `NaN`.
 
+The lookback is function-specific and does not always match the value passed
+to `timeperiod`. For example, `RSI(timeperiod=14)` needs 15 price observations
+because the first RSI value depends on 14 price changes between consecutive
+bars, not just 14 raw prices.
+
 For convenience, the Function API supports both `numpy.ndarray` and
 `pandas.Series` and `polars.Series` inputs.
 
@@ -433,6 +438,10 @@ Calculating momentum of the close prices, with a time period of 5:
 output = talib.MOM(close, timeperiod=5)
 ```
 
+Functions marked in the docs as having an unstable period start with that
+extra unstable-period setting at `0`. In other words, `get_unstable_period()`
+returns `0` until you explicitly change it with `set_unstable_period()`.
+
 ### NaN's
 
 The underlying TA-Lib C library handles NaN's in a sometimes surprising manner
diff --git a/docs/func.md b/docs/func.md
index 11d4efc09..0e25d7bda 100644
--- a/docs/func.md
+++ b/docs/func.md
@@ -8,6 +8,10 @@ parameters, unless specified as keyword arguments. Typically, these functions
 will have an initial "lookback" period (a required number of observations
 before an output is generated) set to ``NaN``.
 
+The lookback is function-specific and may be larger than the `timeperiod`
+parameter. For example, ``RSI(timeperiod=14)`` needs 15 price observations,
+because the first RSI value is derived from 14 consecutive price changes.
+
 All of the following examples use the function API:
 
 ```python
@@ -37,6 +41,10 @@ Calculating momentum of the close prices, with a time period of 5:
 output = talib.MOM(close, timeperiod=5)
 ```
 
+Functions documented as having an unstable period start with that extra
+unstable-period setting at ``0``. ``get_unstable_period()`` only returns a
+non-zero value after you set one explicitly with ``set_unstable_period()``.
+
 Documentation for all functions:
 
 * [Overlap Studies](func_groups/overlap_studies.md)
diff --git a/docs/index.md b/docs/index.md
index efe01ac12..2f192de02 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -28,6 +28,10 @@ parameters, unless specified as keyword arguments. Typically, these functions
 will have an initial "lookback" period (a required number of observations
 before an output is generated) set to ``NaN``.
 
+The lookback is function-specific and may be larger than the `timeperiod`
+parameter. For example, ``RSI(timeperiod=14)`` needs 15 price observations,
+because the first RSI value is based on 14 consecutive price changes.
+
 All of the following examples use the function API:
 
 ```python
@@ -57,6 +61,10 @@ Calculating momentum of the close prices, with a time period of 5:
 output = talib.MOM(close, timeperiod=5)
 ```
 
+Functions documented as having an unstable period start with that extra
+unstable-period setting at ``0``. ``get_unstable_period()`` only reports a
+non-zero value after you call ``set_unstable_period()`` yourself.
+
 ## Abstract API Quick Start
 
 If you're already familiar with using the function API, you should feel right