docs: update doc links from latest to stable

Author: xmatthias

docs/advanced-setup.md

@@ -73,7 +73,7 @@ services:
     volumes:
       - "./user_data:/freqtrade/user_data"
     # Expose api on port 8080 (localhost only)
-    # Please read the https://www.freqtrade.io/en/latest/rest-api/ documentation
+    # Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
     # before enabling this.
      ports:
      - "127.0.0.1:8080:8080"
@@ -100,7 +100,7 @@ services:
     volumes:
       - "./user_data:/freqtrade/user_data"
     # Expose api on port 8080 (localhost only)
-    # Please read the https://www.freqtrade.io/en/latest/rest-api/ documentation
+    # Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
     # before enabling this.
     ports:
       - "127.0.0.1:8081:8080"

docs/freqai-reinforcement-learning.md

@@ -45,7 +45,7 @@ where `ReinforcementLearner` will use the templated `ReinforcementLearner` from
 
         More details about feature engineering available:
 
-        https://www.freqtrade.io/en/latest/freqai-feature-engineering
+        https://www.freqtrade.io/en/stable/freqai-feature-engineering
 
         :param df: strategy dataframe which will receive the targets
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]

docs/freqai.md

@@ -7,7 +7,7 @@
 FreqAI is a software designed to automate a variety of tasks associated with training a predictive machine learning model to generate market forecasts given a set of input signals. In general, FreqAI aims to be a sandbox for easily deploying robust machine learning libraries on real-time data ([details](#freqai-position-in-open-source-machine-learning-landscape)).
 
 !!! Note
-    FreqAI is, and always will be, a not-for-profit, open source project. FreqAI does *not* have a crypto token, FreqAI does *not* sell signals, and FreqAI does not have a domain besides the present [freqtrade documentation](https://www.freqtrade.io/en/latest/freqai/).
+    FreqAI is, and always will be, a not-for-profit, open source project. FreqAI does *not* have a crypto token, FreqAI does *not* sell signals, and FreqAI does not have a domain besides the present [freqtrade documentation](https://www.freqtrade.io/en/stable/freqai/).
 
 Features include:
 

docs/strategy-callbacks.md

@@ -225,7 +225,7 @@ class AwesomeStrategy(IStrategy):
         e.g. returning -0.05 would create a stoploss 5% below current_rate.
         The custom stoploss can never be below self.stoploss, which serves as a hard maximum loss.
 
-        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
+        For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/
 
         When not implemented by a strategy, returns the initial stoploss value.
         Only called when use_custom_stoploss is set to True.
@@ -805,7 +805,7 @@ class AwesomeStrategy(IStrategy):
         Timing for this function is critical, so avoid doing heavy computations or
         network requests in this method.
 
-        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
+        For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/
 
         When not implemented by a strategy, returns True (always confirming).
 
@@ -853,7 +853,7 @@ class AwesomeStrategy(IStrategy):
         Timing for this function is critical, so avoid doing heavy computations or
         network requests in this method.
 
-        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
+        For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/
 
         When not implemented by a strategy, returns True (always confirming).
 
@@ -991,7 +991,7 @@ class DigDeeperStrategy(IStrategy):
         This means extra entry or exit orders with additional fees.
         Only called when `position_adjustment_enable` is set to True.
 
-        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
+        For full documentation please go to https://www.freqtrade.io/en/stable/strategy-advanced/
 
         When not implemented by a strategy, returns None
 
@@ -1118,7 +1118,7 @@ class AwesomeStrategy(IStrategy):
         This only executes when a order was already placed, still open (unfilled fully or partially)
         and not timed out on subsequent candles after entry trigger.
 
-        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-callbacks/
+        For full documentation please go to https://www.freqtrade.io/en/stable/strategy-callbacks/
 
         When not implemented by a strategy, returns current_order_rate as default.
         If current_order_rate is returned then the existing order is maintained.

docs/strategy_migration.md

@@ -594,9 +594,9 @@ Features will now expand automatically. As such, the expansion loops, as well as
         More details on how these config defined parameters accelerate feature engineering
         in the documentation at:
 
-        https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters
+        https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters
 
-        https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
+        https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features
 
         :param df: strategy dataframe which will receive the features
         :param period: period of the indicator - usage example:
@@ -657,9 +657,9 @@ Basic features. Make sure to remove the `{pair}` part from your features.
         More details on how these config defined parameters accelerate feature engineering
         in the documentation at:
 
-        https://www.freqtrade.io/en/latest/freqai-parameter-table/#feature-parameters
+        https://www.freqtrade.io/en/stable/freqai-parameter-table/#feature-parameters
 
-        https://www.freqtrade.io/en/latest/freqai-feature-engineering/#defining-the-features
+        https://www.freqtrade.io/en/stable/freqai-feature-engineering/#defining-the-features
 
         :param df: strategy dataframe which will receive the features
         dataframe["%-pct-change"] = dataframe["close"].pct_change()
@@ -690,7 +690,7 @@ Basic features. Make sure to remove the `{pair}` part from your features.
 
         More details about feature engineering available:
 
-        https://www.freqtrade.io/en/latest/freqai-feature-engineering
+        https://www.freqtrade.io/en/stable/freqai-feature-engineering
 
         :param df: strategy dataframe which will receive the features
         usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7
@@ -713,7 +713,7 @@ Targets now get their own, dedicated method.
 
         More details about feature engineering available:
 
-        https://www.freqtrade.io/en/latest/freqai-feature-engineering
+        https://www.freqtrade.io/en/stable/freqai-feature-engineering
 
         :param df: strategy dataframe which will receive the targets
         usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]