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docs: update doc links from latest to stable

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Matthias
2026-02-12 19:03:08 +01:00
parent d29d4cba66
commit 7492cf8bf5
5 changed files with 15 additions and 15 deletions
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4
docs/advanced-setup.md
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@@ -73,7 +73,7 @@ services:
volumes: volumes:
- "./user_data:/freqtrade/user_data" - "./user_data:/freqtrade/user_data"
# Expose api on port 8080 (localhost only) # 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. # before enabling this.
ports: ports:
- "127.0.0.1:8080:8080" - "127.0.0.1:8080:8080"
@@ -100,7 +100,7 @@ services:
volumes: volumes:
- "./user_data:/freqtrade/user_data" - "./user_data:/freqtrade/user_data"
# Expose api on port 8080 (localhost only) # 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. # before enabling this.
ports: ports:
- "127.0.0.1:8081:8080" - "127.0.0.1:8081:8080"

2
docs/freqai-reinforcement-learning.md
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@@ -45,7 +45,7 @@ where `ReinforcementLearner` will use the templated `ReinforcementLearner` from
More details about feature engineering available: 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 :param df: strategy dataframe which will receive the targets
usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"] usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]

2
docs/freqai.md
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@@ -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)). 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 !!! 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: Features include:

10
docs/strategy-callbacks.md
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@@ -225,7 +225,7 @@ class AwesomeStrategy(IStrategy):
e.g. returning -0.05 would create a stoploss 5% below current_rate. 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. 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. When not implemented by a strategy, returns the initial stoploss value.
Only called when use_custom_stoploss is set to True. 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 Timing for this function is critical, so avoid doing heavy computations or
network requests in this method. 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). 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 Timing for this function is critical, so avoid doing heavy computations or
network requests in this method. 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). 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. This means extra entry or exit orders with additional fees.
Only called when `position_adjustment_enable` is set to True. 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 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) 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. 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. When not implemented by a strategy, returns current_order_rate as default.
If current_order_rate is returned then the existing order is maintained. If current_order_rate is returned then the existing order is maintained.

12
docs/strategy_migration.md
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@@ -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 More details on how these config defined parameters accelerate feature engineering
in the documentation at: 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 df: strategy dataframe which will receive the features
:param period: period of the indicator - usage example: :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 More details on how these config defined parameters accelerate feature engineering
in the documentation at: 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 df: strategy dataframe which will receive the features
dataframe["%-pct-change"] = dataframe["close"].pct_change() 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: 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 :param df: strategy dataframe which will receive the features
usage example: dataframe["%-day_of_week"] = (dataframe["date"].dt.dayofweek + 1) / 7 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: 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 :param df: strategy dataframe which will receive the targets
usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"] usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]