From 407c20412dc66925cfd94a8d0d9a3109ee9f9da1 Mon Sep 17 00:00:00 2001 From: Italo Date: Wed, 19 Jan 2022 01:07:41 +0000 Subject: [PATCH 1/9] Pass dimensions to generate_estimator It's needed in order to create isotropic kernels for the GaussianProcessRegressor --- .gitignore | 3 +++ freqtrade/optimize/hyperopt.py | 2 +- freqtrade/optimize/hyperopt_auto.py | 4 ++-- 3 files changed, 6 insertions(+), 3 deletions(-) diff --git a/.gitignore b/.gitignore index 16df71194..a4013c974 100644 --- a/.gitignore +++ b/.gitignore @@ -100,3 +100,6 @@ target/ !config_examples/config_ftx.example.json !config_examples/config_full.example.json !config_examples/config_kraken.example.json +docker-compose.yml +.DS_Store +user_data/data/.gitkeep diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index f98014089..209edd157 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -367,7 +367,7 @@ class Hyperopt: } def get_optimizer(self, dimensions: List[Dimension], cpu_count) -> Optimizer: - estimator = self.custom_hyperopt.generate_estimator() + estimator = self.custom_hyperopt.generate_estimator(dimensions) acq_optimizer = "sampling" if isinstance(estimator, str): diff --git a/freqtrade/optimize/hyperopt_auto.py b/freqtrade/optimize/hyperopt_auto.py index 63b4b14e1..6e5628e87 100644 --- a/freqtrade/optimize/hyperopt_auto.py +++ b/freqtrade/optimize/hyperopt_auto.py @@ -91,5 +91,5 @@ class HyperOptAuto(IHyperOpt): def trailing_space(self) -> List['Dimension']: return self._get_func('trailing_space')() - def generate_estimator(self) -> EstimatorType: - return self._get_func('generate_estimator')() + def generate_estimator(self, dimensions) -> EstimatorType: + return self._get_func('generate_estimator')(dimensions) From a6a127f5963ce5563660cb555cd031940c0c4b66 Mon Sep 17 00:00:00 2001 From: Italo Date: Wed, 19 Jan 2022 01:31:14 +0000 Subject: [PATCH 2/9] Update .gitignore --- .gitignore | 3 --- 1 file changed, 3 deletions(-) diff --git a/.gitignore b/.gitignore index a4013c974..16df71194 100644 --- a/.gitignore +++ b/.gitignore @@ -100,6 +100,3 @@ target/ !config_examples/config_ftx.example.json !config_examples/config_full.example.json !config_examples/config_kraken.example.json -docker-compose.yml -.DS_Store -user_data/data/.gitkeep From a4dbdb549d772b488305cb12727c5a8375b0cb2d Mon Sep 17 00:00:00 2001 From: Italo Date: Wed, 19 Jan 2022 01:37:47 +0000 Subject: [PATCH 3/9] added type spec --- freqtrade/optimize/hyperopt_auto.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt_auto.py b/freqtrade/optimize/hyperopt_auto.py index 6e5628e87..e7843ff55 100644 --- a/freqtrade/optimize/hyperopt_auto.py +++ b/freqtrade/optimize/hyperopt_auto.py @@ -91,5 +91,5 @@ class HyperOptAuto(IHyperOpt): def trailing_space(self) -> List['Dimension']: return self._get_func('trailing_space')() - def generate_estimator(self, dimensions) -> EstimatorType: + def generate_estimator(self, dimensions: List['Dimension']) -> EstimatorType: return self._get_func('generate_estimator')(dimensions) From fd1828c283f440ef8714771c4ad4a389b892ba70 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 24 Jan 2022 03:01:30 +0000 Subject: [PATCH 4/9] Bump pandas from 1.3.5 to 1.4.0 Bumps [pandas](https://github.com/pandas-dev/pandas) from 1.3.5 to 1.4.0. - [Release notes](https://github.com/pandas-dev/pandas/releases) - [Changelog](https://github.com/pandas-dev/pandas/blob/main/RELEASE.md) - [Commits](https://github.com/pandas-dev/pandas/compare/v1.3.5...v1.4.0) --- updated-dependencies: - dependency-name: pandas dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index ddbda38ad..7d6bf7147 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ numpy==1.21.5; python_version <= '3.7' numpy==1.22.1; python_version > '3.7' -pandas==1.3.5 +pandas==1.4.0 pandas-ta==0.3.14b ccxt==1.68.20 From aacddf64cfc8f0e65c2186701d245d0835ae424c Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 24 Jan 2022 19:07:37 +0100 Subject: [PATCH 5/9] Add pandas 3.7 requirements workaround --- requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 7d6bf7147..60af42052 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,7 @@ numpy==1.21.5; python_version <= '3.7' numpy==1.22.1; python_version > '3.7' -pandas==1.4.0 +pandas==1.3.5; python_version <= '3.7' +pandas==1.4.0; python_version > '3.7' pandas-ta==0.3.14b ccxt==1.68.20 From d9347e9900e9cf80c77c4ca871bfb977271967ef Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 24 Jan 2022 16:29:56 +0100 Subject: [PATCH 6/9] Update references to remove python 3.7 support --- .github/workflows/ci.yml | 6 +++--- README.md | 4 ++-- .../TA_Lib-0.4.24-cp37-cp37m-win_amd64.whl | Bin 499264 -> 0 bytes build_helpers/install_windows.ps1 | 3 --- docs/index.md | 4 ++-- docs/installation.md | 2 +- docs/windows_installation.md | 2 +- environment.yml | 5 ++++- freqtrade/__main__.py | 2 +- freqtrade/main.py | 4 ++-- requirements.txt | 6 ++---- setup.cfg | 1 - setup.sh | 6 +++--- 13 files changed, 21 insertions(+), 24 deletions(-) delete mode 100644 build_helpers/TA_Lib-0.4.24-cp37-cp37m-win_amd64.whl diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 15f64ad38..407894bd2 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -20,7 +20,7 @@ jobs: strategy: matrix: os: [ ubuntu-18.04, ubuntu-20.04 ] - python-version: ["3.7", "3.8", "3.9", "3.10"] + python-version: ["3.8", "3.9", "3.10"] steps: - uses: actions/checkout@v2 @@ -115,7 +115,7 @@ jobs: strategy: matrix: os: [ macos-latest ] - python-version: ["3.7", "3.8", "3.9", "3.10"] + python-version: ["3.8", "3.9", "3.10"] steps: - uses: actions/checkout@v2 @@ -207,7 +207,7 @@ jobs: strategy: matrix: os: [ windows-latest ] - python-version: ["3.7", "3.8", "3.9", "3.10"] + python-version: ["3.8", "3.9", "3.10"] steps: - uses: actions/checkout@v2 diff --git a/README.md b/README.md index 3a7d42fe9..b67e16010 100644 --- a/README.md +++ b/README.md @@ -49,7 +49,7 @@ Please find the complete documentation on the [freqtrade website](https://www.fr ## Features -- [x] **Based on Python 3.7+**: For botting on any operating system - Windows, macOS and Linux. +- [x] **Based on Python 3.8+**: For botting on any operating system - Windows, macOS and Linux. - [x] **Persistence**: Persistence is achieved through sqlite. - [x] **Dry-run**: Run the bot without paying money. - [x] **Backtesting**: Run a simulation of your buy/sell strategy. @@ -197,7 +197,7 @@ To run this bot we recommend you a cloud instance with a minimum of: ### Software requirements -- [Python >= 3.7](http://docs.python-guide.org/en/latest/starting/installation/) +- [Python >= 3.8](http://docs.python-guide.org/en/latest/starting/installation/) - [pip](https://pip.pypa.io/en/stable/installing/) - [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) - [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html) diff --git a/build_helpers/TA_Lib-0.4.24-cp37-cp37m-win_amd64.whl b/build_helpers/TA_Lib-0.4.24-cp37-cp37m-win_amd64.whl deleted file mode 100644 index ee8d64c6e1bcd078793a54505a6b8eb9d13696c8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 499264 zcmV)6K*+yPO9KQH0000801J#MRIdWO9Q+9Y0Iwnd01*HH0CZt&X<{#5UukY>bYEXC zaCyxcTW{J*`kh}fN>u?}4r))UeTYd1+Ra9mgNMYbv5{?(aH{_I{bt4{ z%!O>arw@zNlJ7d-eJ*s;?XDNrbpxo}$K6{-qU-^VrlM-Hgk@2D!!!4(Vx 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sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')" -if ($pyv -eq '3.7') { - pip install build_helpers\TA_Lib-0.4.24-cp37-cp37m-win_amd64.whl -} if ($pyv -eq '3.8') { pip install build_helpers\TA_Lib-0.4.24-cp38-cp38-win_amd64.whl } diff --git a/docs/index.md b/docs/index.md index 292955346..1f8f15704 100644 --- a/docs/index.md +++ b/docs/index.md @@ -11,7 +11,7 @@ ## Introduction -Freqtrade is a crypto-currency algorithmic trading software developed in python (3.7+) and supported on Windows, macOS and Linux. +Freqtrade is a crypto-currency algorithmic trading software developed in python (3.8+) and supported on Windows, macOS and Linux. !!! Danger "DISCLAIMER" This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS. @@ -67,7 +67,7 @@ To run this bot we recommend you a linux cloud instance with a minimum of: Alternatively -- Python 3.7+ +- Python 3.8+ - pip (pip3) - git - TA-Lib diff --git a/docs/installation.md b/docs/installation.md index c67eff60b..2a1c3db0a 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -42,7 +42,7 @@ These requirements apply to both [Script Installation](#script-installation) and ### Install guide -* [Python >= 3.7.x](http://docs.python-guide.org/en/latest/starting/installation/) +* [Python >= 3.8.x](http://docs.python-guide.org/en/latest/starting/installation/) * [pip](https://pip.pypa.io/en/stable/installing/) * [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) * [virtualenv](https://virtualenv.pypa.io/en/stable/installation.html) (Recommended) diff --git a/docs/windows_installation.md b/docs/windows_installation.md index 0832b753c..9a068e152 100644 --- a/docs/windows_installation.md +++ b/docs/windows_installation.md @@ -25,7 +25,7 @@ Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7 As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial pre-compiled windows Wheels [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), which need to be downloaded and installed using `pip install TA_Lib-0.4.24-cp38-cp38-win_amd64.whl` (make sure to use the version matching your python version). -Freqtrade provides these dependencies for the latest 3 Python versions (3.7, 3.8, 3.9 and 3.10) and for 64bit Windows. +Freqtrade provides these dependencies for the latest 3 Python versions (3.8, 3.9 and 3.10) and for 64bit Windows. Other versions must be downloaded from the above link. ``` powershell diff --git a/environment.yml b/environment.yml index 84ab5ff6f..50af602e5 100644 --- a/environment.yml +++ b/environment.yml @@ -4,7 +4,7 @@ channels: # - defaults dependencies: # 1/4 req main - - python>=3.7,<3.9 + - python>=3.8,<=3.10 - numpy - pandas - pip @@ -25,9 +25,12 @@ dependencies: - fastapi - uvicorn - pyjwt + - aiofiles + - psutil - colorama - questionary - prompt-toolkit + - python-dateutil # ============================ diff --git a/freqtrade/__main__.py b/freqtrade/__main__.py index ab4c7a110..fc45bdf61 100644 --- a/freqtrade/__main__.py +++ b/freqtrade/__main__.py @@ -3,7 +3,7 @@ __main__.py for Freqtrade To launch Freqtrade as a module -> python -m freqtrade (with Python >= 3.7) +> python -m freqtrade (with Python >= 3.8) """ from freqtrade import main diff --git a/freqtrade/main.py b/freqtrade/main.py index 6593fbcb6..162b4d029 100755 --- a/freqtrade/main.py +++ b/freqtrade/main.py @@ -9,8 +9,8 @@ from typing import Any, List # check min. python version -if sys.version_info < (3, 7): # pragma: no cover - sys.exit("Freqtrade requires Python version >= 3.7") +if sys.version_info < (3, 8): # pragma: no cover + sys.exit("Freqtrade requires Python version >= 3.8") from freqtrade.commands import Arguments from freqtrade.exceptions import FreqtradeException, OperationalException diff --git a/requirements.txt b/requirements.txt index 7c6b2f022..53345e796 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,5 @@ -numpy==1.21.5; python_version <= '3.7' -numpy==1.22.1; python_version > '3.7' -pandas==1.3.5; python_version <= '3.7' -pandas==1.4.0; python_version > '3.7' +numpy==1.22.1 +pandas==1.4.0 pandas-ta==0.3.14b ccxt==1.68.20 diff --git a/setup.cfg b/setup.cfg index c5c7f2f25..6aaec9d73 100644 --- a/setup.cfg +++ b/setup.cfg @@ -14,7 +14,6 @@ classifiers = Environment :: Console Intended Audience :: Science/Research License :: OSI Approved :: GNU General Public License v3 (GPLv3) - Programming Language :: Python :: 3.7 Programming Language :: Python :: 3.8 Programming Language :: Python :: 3.9 Programming Language :: Python :: 3.10 diff --git a/setup.sh b/setup.sh index c642a654d..1df9df606 100755 --- a/setup.sh +++ b/setup.sh @@ -25,7 +25,7 @@ function check_installed_python() { exit 2 fi - for v in 9 10 8 7 + for v in 9 10 8 do PYTHON="python3.${v}" which $PYTHON @@ -219,7 +219,7 @@ function install() { install_redhat else echo "This script does not support your OS." - echo "If you have Python version 3.7 - 3.10, pip, virtualenv, ta-lib you can continue." + echo "If you have Python version 3.8 - 3.10, pip, virtualenv, ta-lib you can continue." echo "Wait 10 seconds to continue the next install steps or use ctrl+c to interrupt this shell." sleep 10 fi @@ -246,7 +246,7 @@ function help() { echo " -p,--plot Install dependencies for Plotting scripts." } -# Verify if 3.7 or 3.8 is installed +# Verify if 3.8+ is installed check_installed_python case $* in From 6e47d06733aeec1ef986b3fac28d70a447867328 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 25 Jan 2022 05:44:03 +0000 Subject: [PATCH 7/9] Bump ccxt from 1.68.20 to 1.70.45 Bumps [ccxt](https://github.com/ccxt/ccxt) from 1.68.20 to 1.70.45. - [Release notes](https://github.com/ccxt/ccxt/releases) - [Changelog](https://github.com/ccxt/ccxt/blob/master/exchanges.cfg) - [Commits](https://github.com/ccxt/ccxt/compare/1.68.20...1.70.45) --- updated-dependencies: - dependency-name: ccxt dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 7c6b2f022..c6bd48535 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,7 +4,7 @@ pandas==1.3.5; python_version <= '3.7' pandas==1.4.0; python_version > '3.7' pandas-ta==0.3.14b -ccxt==1.68.20 +ccxt==1.70.45 # Pin cryptography for now due to rust build errors with piwheels cryptography==36.0.1 aiohttp==3.8.1 From f7a5b2cb71b8a766cdb003877f4b5f1137d5ef56 Mon Sep 17 00:00:00 2001 From: Italo <45588475+italodamato@users.noreply.github.com> Date: Tue, 25 Jan 2022 11:43:40 +0000 Subject: [PATCH 8/9] explicit dimensions, added **kwargs, updated docs --- docs/advanced-hyperopt.md | 25 ++++++++++++++++++++++-- freqtrade/optimize/hyperopt.py | 2 +- freqtrade/optimize/hyperopt_auto.py | 4 ++-- freqtrade/optimize/hyperopt_interface.py | 2 +- 4 files changed, 27 insertions(+), 6 deletions(-) diff --git a/docs/advanced-hyperopt.md b/docs/advanced-hyperopt.md index 9ac31bf16..dff8dde1d 100644 --- a/docs/advanced-hyperopt.md +++ b/docs/advanced-hyperopt.md @@ -105,7 +105,7 @@ You can define your own estimator for Hyperopt by implementing `generate_estimat ```python class MyAwesomeStrategy(IStrategy): class HyperOpt: - def generate_estimator(): + def generate_estimator(dimensions, **kwargs): return "RF" ``` @@ -119,13 +119,34 @@ Example for `ExtraTreesRegressor` ("ET") with additional parameters: ```python class MyAwesomeStrategy(IStrategy): class HyperOpt: - def generate_estimator(): + def generate_estimator(dimensions, **kwargs): from skopt.learning import ExtraTreesRegressor # Corresponds to "ET" - but allows additional parameters. return ExtraTreesRegressor(n_estimators=100) ``` +The `dimensions` parameter is the list of `skopt.space.Dimension` objects corresponding to the parameters to be optimized. It can be used to create isotropic kernels for the `skopt.learning.GaussianProcessRegressor` estimator. Here's an example: + +```python +class MyAwesomeStrategy(IStrategy): + class HyperOpt: + def generate_estimator(dimensions, **kwargs): + from skopt.utils import cook_estimator + from skopt.learning.gaussian_process.kernels import (Matern, ConstantKernel) + kernel_bounds = (0.0001, 10000) + kernel = ( + ConstantKernel(1.0, kernel_bounds) * + Matern(length_scale=np.ones(len(dimensions)), length_scale_bounds=[kernel_bounds for d in dimensions], nu=2.5) + ) + kernel += ( + ConstantKernel(1.0, kernel_bounds) * + Matern(length_scale=np.ones(len(dimensions)), length_scale_bounds=[kernel_bounds for d in dimensions], nu=1.5) + ) + + return cook_estimator("GP", space=dimensions, kernel=kernel, n_restarts_optimizer=2) +``` + !!! Note While custom estimators can be provided, it's up to you as User to do research on possible parameters and analyze / understand which ones should be used. If you're unsure about this, best use one of the Defaults (`"ET"` has proven to be the most versatile) without further parameters. diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 209edd157..9664e6f07 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -367,7 +367,7 @@ class Hyperopt: } def get_optimizer(self, dimensions: List[Dimension], cpu_count) -> Optimizer: - estimator = self.custom_hyperopt.generate_estimator(dimensions) + estimator = self.custom_hyperopt.generate_estimator(dimensions=dimensions) acq_optimizer = "sampling" if isinstance(estimator, str): diff --git a/freqtrade/optimize/hyperopt_auto.py b/freqtrade/optimize/hyperopt_auto.py index e7843ff55..5bc0af42b 100644 --- a/freqtrade/optimize/hyperopt_auto.py +++ b/freqtrade/optimize/hyperopt_auto.py @@ -91,5 +91,5 @@ class HyperOptAuto(IHyperOpt): def trailing_space(self) -> List['Dimension']: return self._get_func('trailing_space')() - def generate_estimator(self, dimensions: List['Dimension']) -> EstimatorType: - return self._get_func('generate_estimator')(dimensions) + def generate_estimator(self, dimensions: List['Dimension'], **kwargs) -> EstimatorType: + return self._get_func('generate_estimator')(dimensions=dimensions, **kwargs) diff --git a/freqtrade/optimize/hyperopt_interface.py b/freqtrade/optimize/hyperopt_interface.py index 53b4f087c..1611970db 100644 --- a/freqtrade/optimize/hyperopt_interface.py +++ b/freqtrade/optimize/hyperopt_interface.py @@ -40,7 +40,7 @@ class IHyperOpt(ABC): IHyperOpt.ticker_interval = str(config['timeframe']) # DEPRECATED IHyperOpt.timeframe = str(config['timeframe']) - def generate_estimator(self) -> EstimatorType: + def generate_estimator(self, dimensions, **kwargs) -> EstimatorType: """ Return base_estimator. Can be any of "GP", "RF", "ET", "GBRT" or an instance of a class From 30b27ae7363563b083426bdf86136dbacf004a90 Mon Sep 17 00:00:00 2001 From: Italo <45588475+italodamato@users.noreply.github.com> Date: Tue, 25 Jan 2022 12:29:55 +0000 Subject: [PATCH 9/9] explicit dtype --- docs/advanced-hyperopt.md | 6 +++--- freqtrade/optimize/hyperopt_interface.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/advanced-hyperopt.md b/docs/advanced-hyperopt.md index dff8dde1d..9dbb86b2d 100644 --- a/docs/advanced-hyperopt.md +++ b/docs/advanced-hyperopt.md @@ -105,7 +105,7 @@ You can define your own estimator for Hyperopt by implementing `generate_estimat ```python class MyAwesomeStrategy(IStrategy): class HyperOpt: - def generate_estimator(dimensions, **kwargs): + def generate_estimator(dimensions: List['Dimension'], **kwargs): return "RF" ``` @@ -119,7 +119,7 @@ Example for `ExtraTreesRegressor` ("ET") with additional parameters: ```python class MyAwesomeStrategy(IStrategy): class HyperOpt: - def generate_estimator(dimensions, **kwargs): + def generate_estimator(dimensions: List['Dimension'], **kwargs): from skopt.learning import ExtraTreesRegressor # Corresponds to "ET" - but allows additional parameters. return ExtraTreesRegressor(n_estimators=100) @@ -131,7 +131,7 @@ The `dimensions` parameter is the list of `skopt.space.Dimension` objects corres ```python class MyAwesomeStrategy(IStrategy): class HyperOpt: - def generate_estimator(dimensions, **kwargs): + def generate_estimator(dimensions: List['Dimension'], **kwargs): from skopt.utils import cook_estimator from skopt.learning.gaussian_process.kernels import (Matern, ConstantKernel) kernel_bounds = (0.0001, 10000) diff --git a/freqtrade/optimize/hyperopt_interface.py b/freqtrade/optimize/hyperopt_interface.py index 1611970db..01ffd7844 100644 --- a/freqtrade/optimize/hyperopt_interface.py +++ b/freqtrade/optimize/hyperopt_interface.py @@ -40,7 +40,7 @@ class IHyperOpt(ABC): IHyperOpt.ticker_interval = str(config['timeframe']) # DEPRECATED IHyperOpt.timeframe = str(config['timeframe']) - def generate_estimator(self, dimensions, **kwargs) -> EstimatorType: + def generate_estimator(self, dimensions: List[Dimension], **kwargs) -> EstimatorType: """ Return base_estimator. Can be any of "GP", "RF", "ET", "GBRT" or an instance of a class

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