Merge branch 'freqtrade:develop' into dca
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a7c67e8c7c
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build_helpers/TA_Lib-0.4.22-cp37-cp37m-win_amd64.whl
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build_helpers/TA_Lib-0.4.22-cp38-cp38-win_amd64.whl
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@ -6,13 +6,13 @@ python -m pip install --upgrade pip
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$pyv = python -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')"
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if ($pyv -eq '3.7') {
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pip install build_helpers\TA_Lib-0.4.21-cp37-cp37m-win_amd64.whl
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pip install build_helpers\TA_Lib-0.4.22-cp37-cp37m-win_amd64.whl
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}
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if ($pyv -eq '3.8') {
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pip install build_helpers\TA_Lib-0.4.21-cp38-cp38-win_amd64.whl
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pip install build_helpers\TA_Lib-0.4.22-cp38-cp38-win_amd64.whl
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}
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if ($pyv -eq '3.9') {
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pip install build_helpers\TA_Lib-0.4.21-cp39-cp39-win_amd64.whl
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pip install build_helpers\TA_Lib-0.4.22-cp39-cp39-win_amd64.whl
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}
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pip install -r requirements-dev.txt
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@ -23,9 +23,9 @@ git clone https://github.com/freqtrade/freqtrade.git
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Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
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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-0.4.21-cp38-cp38-win_amd64.whl` (make sure to use the version matching your python version).
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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‑0.4.22‑cp38‑cp38‑win_amd64.whl` (make sure to use the version matching your python version).
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Freqtrade provides these dependencies for the latest 2 Python versions (3.7 and 3.8) and for 64bit Windows.
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Freqtrade provides these dependencies for the latest 3 Python versions (3.7, 3.8 and 3.9) and for 64bit Windows.
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Other versions must be downloaded from the above link.
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``` powershell
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@ -260,8 +260,8 @@ class Wallets:
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if self._log:
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logger.info(
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f"Adjusted stake amount for pair {pair} is more than 30% bigger than "
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f"the desired stake ({stake_amount} * 1.3 > {max_stake_amount}), "
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f"ignoring trade."
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f"the desired stake amount of ({stake_amount:.8f} * 1.3 = "
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f"{stake_amount * 1.3:.8f}) < {min_stake_amount}), ignoring trade."
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)
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return 0
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stake_amount = min_stake_amount
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@ -1,8 +1,8 @@
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numpy==1.21.4
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pandas==1.3.4
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pandas==1.3.5
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pandas-ta==0.3.14b
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ccxt==1.63.55
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ccxt==1.63.65
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# Pin cryptography for now due to rust build errors with piwheels
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cryptography==36.0.0
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aiohttp==3.8.1
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@ -13,7 +13,7 @@ cachetools==4.2.2
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requests==2.26.0
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urllib3==1.26.7
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jsonschema==4.2.1
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TA-Lib==0.4.21
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TA-Lib==0.4.22
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technical==1.3.0
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tabulate==0.8.9
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pycoingecko==2.2.0
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@ -31,7 +31,7 @@ python-rapidjson==1.5
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sdnotify==0.3.2
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# API Server
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fastapi==0.70.0
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fastapi==0.70.1
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uvicorn==0.16.0
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pyjwt==2.3.0
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aiofiles==0.8.0
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