Merge branch 'master' into csv

.github/workflows/codeql-analysis.yml

@@ -0,0 +1,70 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ master ]
+  schedule:
+    - cron: '16 3 * * 5'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      security-events: write
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'python' ]
+        # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
+        # Learn more about CodeQL language support at https://git.io/codeql-language-support
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v2
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v1
+      with:
+        languages: ${{ matrix.language }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+        # queries: ./path/to/local/query, your-org/your-repo/queries@main
+
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v1
+
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 https://git.io/JvXDl
+
+    # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
+    #    and modify them (or add more) to build your code if your project
+    #    uses a compiled language
+
+    #- run: |
+    #   make bootstrap
+    #   make release
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v1

README.md

@@ -1,25 +1,35 @@
 # emailtrade
 Automatically buy/sell crypto from tradingview alert email
 Create keys.json file in project root and add bittrex or kraken keys
+
 and email and password for gmail 
 
 MUST read code and add folder to gmail in same format-- will try and make easier later
 MUST add an alert to indicator you want to use on trading view that just says  sell or buy
 
-If you like this software:
+
-Get  me a beer
+If you really like this you can grab me a beer if you want
- ETH:
+
+ETH:
+
+0xF773933953D762621CaB14b7Af821c15DABEb072
 0x8De9E8409F427602533c9493a5bAFa5E4F7A8266
 
 BTC:
+
 bc1qhxqk8g72rs8yrvselfauztxr2emdc7sje3dkta
 
 DOGE:
+
 DLdv7fgdz3ADhsMmszGsXGQSmRP2pWJzPE
 
 LBC:
+
+
 lbc1qgmtmg498m353zyj6n9cwq0ueeakyx8pj2h6sr0
 
 
  Say thanks
+
  twitter.com/sacoftrees916
+

poetry.lock

@@ -34,8 +34,8 @@ python-versions = "*"
 six = "*"
 
 [package.extras]
-doc = ["sphinx"]
 test = ["mock (>=1.3.0)"]
+doc = ["sphinx"]
 
 [[package]]
 name = "krakenex"
@@ -50,11 +50,11 @@ requests = ">=2.18.2,<3"
 
 [[package]]
 name = "numpy"
-version = "1.20.2"
+version = "1.22.0"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [[package]]
 name = "pandas"
@@ -142,16 +142,16 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "urllib3"
-version = "1.26.4"
+version = "1.26.5"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
 [package.extras]
+brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-brotli = ["brotlipy (>=0.6.0)"]
 
 [metadata]
 lock-version = "1.1"
@@ -179,30 +179,28 @@ krakenex = [
     {file = "krakenex-2.1.0.tar.gz", hash = "sha256:dba48768e75eab3bdd898830be6928d255dfc8cec88d70eaed3b36ef1ca5cff5"},
 ]
 numpy = [
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+    {file = "numpy-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d22662b4b10112c545c91a0741f2436f8ca979ab3d69d03d19322aa970f9695"},
-    {file = "numpy-1.20.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:a8e6859913ec8eeef3dbe9aed3bf475347642d1cdd6217c30f28dee8903528e6"},
+    {file = "numpy-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:11a1f3816ea82eed4178102c56281782690ab5993251fdfd75039aad4d20385f"},
-    {file = "numpy-1.20.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:9cab23439eb1ebfed1aaec9cd42b7dc50fc96d5cd3147da348d9161f0501ada5"},
+    {file = "numpy-1.22.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5dc65644f75a4c2970f21394ad8bea1a844104f0fe01f278631be1c7eae27226"},
-    {file = "numpy-1.20.2-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:9c0fab855ae790ca74b27e55240fe4f2a36a364a3f1ebcfd1fb5ac4088f1cec3"},
+    {file = "numpy-1.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42c16cec1c8cf2728f1d539bd55aaa9d6bb48a7de2f41eb944697293ef65a559"},
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+    {file = "numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a97e82c39d9856fe7d4f9b86d8a1e66eff99cf3a8b7ba48202f659703d27c46f"},
-    {file = "numpy-1.20.2-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:d15007f857d6995db15195217afdbddfcd203dfaa0ba6878a2f580eaf810ecd6"},
+    {file = "numpy-1.22.0-cp310-cp310-win_amd64.whl", hash = "sha256:e41e8951749c4b5c9a2dc5fdbc1a4eec6ab2a140fdae9b460b0f557eed870f4d"},
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+    {file = "numpy-1.22.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:bece0a4a49e60e472a6d1f70ac6cdea00f9ab80ff01132f96bd970cdd8a9e5a9"},
-    {file = "numpy-1.20.2-cp37-cp37m-win_amd64.whl", hash = "sha256:bad70051de2c50b1a6259a6df1daaafe8c480ca98132da98976d8591c412e737"},
+    {file = "numpy-1.22.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:818b9be7900e8dc23e013a92779135623476f44a0de58b40c32a15368c01d471"},
-    {file = "numpy-1.20.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:719656636c48be22c23641859ff2419b27b6bdf844b36a2447cb39caceb00935"},
+    {file = "numpy-1.22.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:47ee7a839f5885bc0c63a74aabb91f6f40d7d7b639253768c4199b37aede7982"},
-    {file = "numpy-1.20.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:aa046527c04688af680217fffac61eec2350ef3f3d7320c07fd33f5c6e7b4d5f"},
+    {file = "numpy-1.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a024181d7aef0004d76fb3bce2a4c9f2e67a609a9e2a6ff2571d30e9976aa383"},
-    {file = "numpy-1.20.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:2428b109306075d89d21135bdd6b785f132a1f5a3260c371cee1fae427e12727"},
+    {file = "numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f71d57cc8645f14816ae249407d309be250ad8de93ef61d9709b45a0ddf4050c"},
-    {file = "numpy-1.20.2-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:e8e4fbbb7e7634f263c5b0150a629342cc19b47c5eba8d1cd4363ab3455ab576"},
+    {file = "numpy-1.22.0-cp38-cp38-win32.whl", hash = "sha256:283d9de87c0133ef98f93dfc09fad3fb382f2a15580de75c02b5bb36a5a159a5"},
-    {file = "numpy-1.20.2-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:edb1f041a9146dcf02cd7df7187db46ab524b9af2515f392f337c7cbbf5b52cd"},
+    {file = "numpy-1.22.0-cp38-cp38-win_amd64.whl", hash = "sha256:2762331de395739c91f1abb88041f94a080cb1143aeec791b3b223976228af3f"},
-    {file = "numpy-1.20.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:c73a7975d77f15f7f68dacfb2bca3d3f479f158313642e8ea9058eea06637931"},
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+    {file = "numpy-1.22.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0cfe07133fd00b27edee5e6385e333e9eeb010607e8a46e1cd673f05f8596595"},
-    {file = "numpy-1.20.2-cp38-cp38-win_amd64.whl", hash = "sha256:471c0571d0895c68da309dacee4e95a0811d0a9f9f532a48dc1bea5f3b7ad2b7"},
+    {file = "numpy-1.22.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6ed0d073a9c54ac40c41a9c2d53fcc3d4d4ed607670b9e7b0de1ba13b4cbfe6f"},
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+    {file = "numpy-1.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41388e32e40b41dd56eb37fcaa7488b2b47b0adf77c66154d6b89622c110dfe9"},
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+    {file = "numpy-1.22.0-cp39-cp39-win32.whl", hash = "sha256:5a311ee4d983c487a0ab546708edbdd759393a3dc9cd30305170149fedd23c88"},
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+    {file = "numpy-1.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb02929b0d6bfab4c48a79bd805bd7419114606947ec8284476167415171f55b"},
-    {file = "numpy-1.20.2-cp39-cp39-win_amd64.whl", hash = "sha256:924dc3f83de20437de95a73516f36e09918e9c9c18d5eac520062c49191025fb"},
+    {file = "numpy-1.22.0.zip", hash = "sha256:a955e4128ac36797aaffd49ab44ec74a71c11d6938df83b1285492d277db5397"},
-    {file = "numpy-1.20.2-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:97ce8b8ace7d3b9288d88177e66ee75480fb79b9cf745e91ecfe65d91a856042"},
-    {file = "numpy-1.20.2.zip", hash = "sha256:878922bf5ad7550aa044aa9301d417e2d3ae50f0f577de92051d739ac6096cee"},
 ]
 pandas = [
     {file = "pandas-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c601c6fdebc729df4438ec1f62275d6136a0dd14d332fc0e8ce3f7d2aadb4dd6"},
@@ -245,6 +243,6 @@ six = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 urllib3 = [
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+    {file = "urllib3-1.26.5-py2.py3-none-any.whl", hash = "sha256:753a0374df26658f99d826cfe40394a686d05985786d946fbe4165b5148f5a7c"},
-    {file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
+    {file = "urllib3-1.26.5.tar.gz", hash = "sha256:a7acd0977125325f516bda9735fa7142b909a8d01e8b2e4c8108d0984e6e0098"},
 ]