mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-28 04:52:07 +00:00
Resolving merge conflicts with main
This commit is contained in:
Artem Veremey
7
.dockerignore
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7
.dockerignore
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@@ -0,0 +1,7 @@
|
||||
.git
|
||||
.*
|
||||
.dockerignore
|
||||
.env*
|
||||
.gitignore
|
||||
docker-compose.yaml
|
||||
Dockerfile*
|
||||
23
.github/ISSUE_TEMPLATE/bug_report.md
vendored
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23
.github/ISSUE_TEMPLATE/bug_report.md
vendored
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@@ -0,0 +1,23 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
title: "[Bug]"
|
||||
labels: 'bug'
|
||||
assignees: ''
|
||||
---
|
||||
|
||||
**Describe the bug**
|
||||
A clear and concise description of what the bug is.
|
||||
|
||||
**To Reproduce**
|
||||
Steps(from the start) and commands to reproduce the behavior
|
||||
|
||||
**Screenshots**
|
||||
If applicable, add screenshots to help explain your problem.
|
||||
|
||||
**Desktop (please complete the following information):**
|
||||
- OS: [e.g. Mac Sierra]
|
||||
- Python version [e.g. 3.6.8]
|
||||
|
||||
**Additional context**
|
||||
Add any other information that you think could be useful for us.
|
||||
20
.github/ISSUE_TEMPLATE/enhancement.md
vendored
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20
.github/ISSUE_TEMPLATE/enhancement.md
vendored
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@@ -0,0 +1,20 @@
|
||||
---
|
||||
name: Improvement
|
||||
about: Improve something on this project
|
||||
title: "[IMPROVE]"
|
||||
labels: 'enhancement'
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**What's the feature that should be improved?**
|
||||
A description of what's the feature you want improved, and a bit of context (why is that).
|
||||
|
||||
**Describe how you would like the feature improved**
|
||||
A description of what the current feature is vs what it would be after your suggestion.
|
||||
|
||||
**Possibly describe the ideal way to improve this**
|
||||
If you have thought about how you would do it, add it here.
|
||||
|
||||
**Additional information**
|
||||
Add any other information or screenshots about the feature improvement.
|
||||
20
.github/ISSUE_TEMPLATE/feature_request.md
vendored
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20
.github/ISSUE_TEMPLATE/feature_request.md
vendored
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@@ -0,0 +1,20 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: "[FR]"
|
||||
labels: 'new feature'
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**What's the problem of not having this feature?**
|
||||
A clear description of what you are lacking, or why you need this additional feature.
|
||||
|
||||
**Describe the solution you would like**
|
||||
A description of what you think would be the best solution for this. From user inputs, to an output.
|
||||
|
||||
**Describe alternatives you've considered**
|
||||
If there are other alternatives (worth considering) to your solution, list them here.
|
||||
|
||||
**Additional information**
|
||||
Add any other information or screenshots about the feature request here.
|
||||
119
.github/workflows/test.yml
vendored
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119
.github/workflows/test.yml
vendored
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@@ -0,0 +1,119 @@
|
||||
name: Tests
|
||||
on: [pull_request, push]
|
||||
jobs:
|
||||
linting:
|
||||
name: Linting
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout Code
|
||||
uses: actions/checkout@v2
|
||||
|
||||
- name: Setup Python 3.8
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: "3.8"
|
||||
architecture: x64
|
||||
|
||||
- uses: actions/cache@v2
|
||||
with:
|
||||
path: ~/.cache/pip
|
||||
key: ${{ runner.os }}-linting
|
||||
restore-keys: ${{ runner.os }}-linting
|
||||
|
||||
- run: pip install bandit black codespell flake8 isort mypy pyupgrade safety
|
||||
- run: bandit -r . || true
|
||||
- run: black --check . || true
|
||||
- run: codespell --ignore-words-list="mape" --quiet-level=2 # --skip=""
|
||||
- run: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
|
||||
- run: isort --check-only --profile black . || true
|
||||
- run: mypy --ignore-missing-imports . || true
|
||||
- run: shopt -s globstar && pyupgrade --py36-plus **/*.py || true
|
||||
- run: safety check
|
||||
test:
|
||||
name: ubuntu-latest - Python 3.8
|
||||
needs: linting
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout Code
|
||||
uses: actions/checkout@v2
|
||||
|
||||
- name: Setup Python 3.8
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: "3.8"
|
||||
architecture: x64
|
||||
|
||||
- name: Install Poetry
|
||||
uses: snok/install-poetry@v1.1.1
|
||||
with:
|
||||
virtualenvs-create: true
|
||||
virtualenvs-in-project: true
|
||||
|
||||
- name: Load cached venv
|
||||
id: cached-poetry-dependencies
|
||||
uses: actions/cache@v2
|
||||
with:
|
||||
path: .venv
|
||||
key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
|
||||
|
||||
- name: Install dependencies
|
||||
if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
|
||||
run: poetry install --no-interaction --no-root
|
||||
|
||||
- name: Install Package
|
||||
run: poetry install --no-interaction
|
||||
|
||||
- name: Run tests
|
||||
env:
|
||||
MPLBACKEND: Agg
|
||||
run: |
|
||||
source $VENV
|
||||
pytest tests/
|
||||
tests:
|
||||
needs: test
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
fail-fast: true
|
||||
matrix:
|
||||
python-version: ['3.6', '3.7', '3.8']
|
||||
os: [ubuntu-latest, macos-latest]
|
||||
exclude:
|
||||
- os: ubuntu-latest
|
||||
python-version: '3.8'
|
||||
name: ${{ matrix.os}} - Python ${{ matrix.python-version }}
|
||||
steps:
|
||||
- name: Checkout Code
|
||||
uses: actions/checkout@v2
|
||||
|
||||
- name: Setup Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v1
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
architecture: x64
|
||||
|
||||
- name: Install Poetry
|
||||
uses: snok/install-poetry@v1.1.1
|
||||
with:
|
||||
virtualenvs-create: true
|
||||
virtualenvs-in-project: true
|
||||
|
||||
- name: Load cached venv
|
||||
id: cached-poetry-dependencies
|
||||
uses: actions/cache@v2
|
||||
with:
|
||||
path: .venv
|
||||
key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
|
||||
|
||||
- name: Install dependencies
|
||||
if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
|
||||
run: poetry install --no-interaction --no-root
|
||||
|
||||
- name: Install Package
|
||||
run: poetry install --no-interaction
|
||||
|
||||
- name: Run tests
|
||||
env:
|
||||
MPLBACKEND: Agg
|
||||
run: |
|
||||
source $VENV
|
||||
pytest tests/
|
||||
33
Dockerfile
Normal file
33
Dockerfile
Normal file
@@ -0,0 +1,33 @@
|
||||
FROM python:3.6.13-slim-buster
|
||||
|
||||
RUN apt-get update && apt-get -y install --no-install-recommends \
|
||||
gcc \
|
||||
g++ \
|
||||
make \
|
||||
wget \
|
||||
curl \
|
||||
telnet \
|
||||
net-tools \
|
||||
iputils-ping \
|
||||
dnsutils \
|
||||
git \
|
||||
gnupg \
|
||||
unzip \
|
||||
bzip2 && \
|
||||
apt-get -y autoremove && \
|
||||
apt-get clean && \
|
||||
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
|
||||
|
||||
RUN useradd --create-home --shell /bin/bash python
|
||||
USER python
|
||||
WORKDIR /home/python
|
||||
|
||||
ENV PATH="/home/python/.local/bin:${PATH}"
|
||||
|
||||
COPY --chown=python:python . .
|
||||
|
||||
#RUN INSTALL_ON_LINUX=1 pip install -r requirements.txt
|
||||
RUN pip install "poetry==1.1.4"
|
||||
RUN poetry export --without-hashes -f requirements.txt | pip install -r /dev/stdin
|
||||
|
||||
CMD ["python", "gamestonk_terminal.py"]
|
||||
306
README.md
306
README.md
@@ -7,7 +7,7 @@
|
||||
|
||||
## About
|
||||
|
||||
Gamestonk Terminal is an awesome stock market terminal that has been developed for fun, while I saw my GME shares tanking. But hey, I like the stock 💎🙌.
|
||||
Gamestonk Terminal is an awesome stock and crypto market terminal that has been developed for fun, while I saw my GME shares tanking. But hey, I like the stock 💎🙌.
|
||||
|
||||
The implementation (in python) allows to easily add more commands, and expand on their configuration.
|
||||
|
||||
@@ -34,16 +34,22 @@ The main menu allows the following commands:
|
||||
|
||||
```text
|
||||
load -t S_TICKER [-s S_START_DATE] [-i {1,5,15,30,60}]
|
||||
clear
|
||||
view -t S_TICKER [-s S_START_DATE] [-i {1,5,15,30,60}] [--type N_TYPE]
|
||||
```
|
||||
|
||||
With their functions being:
|
||||
|
||||
* Load stock ticker to perform analysis on
|
||||
* -s : The starting date (format YYYY-MM-DD) of the stock
|
||||
* -i : Intraday stock minutes
|
||||
|
||||
```text
|
||||
clear
|
||||
```
|
||||
|
||||
* Clear previously loaded stock ticker.
|
||||
|
||||
```text
|
||||
view -t S_TICKER [-s S_START_DATE] [-i {1,5,15,30,60}] [--type N_TYPE]
|
||||
```
|
||||
|
||||
* Visualise historical data of a stock. An alpha_vantage key is necessary.
|
||||
* -s : The starting date (format YYYY-MM-DD) of the stock
|
||||
* -i : Intraday stock minutes
|
||||
@@ -55,176 +61,178 @@ Note: Until a ticker is loaded, the menu will only show *disc* and *sen* menu, a
|
||||
|
||||
### [Discover Stocks](gamestonk_terminal/discovery/README.md) <a name="Discover_Stocks"></a>
|
||||
|
||||
```text
|
||||
map S&P500 index stocks map [Finviz]
|
||||
sectors show sectors performance [Alpha Vantage]
|
||||
gainers show latest top gainers [Yahoo Finance]
|
||||
orders orders by Fidelity Customers [Fidelity]
|
||||
up_earnings upcoming earnings release dates [Seeking Alpha]
|
||||
high_short show top high short interest stocks of over 20% ratio [www.highshortinterest.com]
|
||||
low_float show low float stocks under 10M shares float [www.lowfloat.com]
|
||||
simply_wallst Simply Wall St. research data [Simply Wall St.]
|
||||
spachero great website for SPACs research [SpacHero]
|
||||
uwhales good website for SPACs research [UnusualWhales]
|
||||
```
|
||||
Command|Description|Source
|
||||
---|---|---
|
||||
`map` |S&P500 index stocks map |[Finviz](https://finviz.com)
|
||||
`sectors` |show sectors performance |[Alpha Vantage](www.alphavantage.co)
|
||||
`gainers` |show latest top gainers |[Yahoo Finance](https://finance.yahoo.com/)
|
||||
`orders` |orders by Fidelity Customers |[Fidelity](https://www.fidelity.com/)
|
||||
`up_earnings` |upcoming earnings release dates |[Seeking Alpha](https://seekingalpha.com/)
|
||||
`high_short` |show top high short interest stocks of over 20% ratio |[High Short Interest](https://www.highshortinterest.com/)
|
||||
`low_float` |show low float stocks under 10M shares float |[Low Float](https://www.lowfloat.com/)
|
||||
`simply_wallst` |Simply Wall St. research data |[Simply Wall St.](https://simplywall.st/about)
|
||||
`spachero` |great website for SPACs research |[SpacHero](https://www.spachero.com/)
|
||||
`uwhales` |good website for SPACs research |[UnusualWhales](https://unusualwhales.com/)
|
||||
|
||||
|
||||
### [Market Sentiment](gamestonk_terminal/sentiment/README.md) <a name="Market_Sentiment"></a>
|
||||
|
||||
```text
|
||||
Reddit:
|
||||
wsb show what WSB gang is up to in subreddit wallstreetbets
|
||||
watchlist show other users watchlist
|
||||
popular show popular tickers
|
||||
spac_c show other users spacs announcements from subreddit SPACs community
|
||||
spac show other users spacs announcements from other subs
|
||||
|
||||
Stocktwits:
|
||||
bullbear estimate quick sentiment from last 30 messages on board
|
||||
messages output up to the 30 last messages on the board
|
||||
trending trending stocks
|
||||
stalker stalk stocktwits user's last messages
|
||||
|
||||
Twitter:
|
||||
infer infer about stock's sentiment from latest tweets
|
||||
sentiment in-depth sentiment prediction from tweets over time
|
||||
|
||||
Google:
|
||||
mentions interest over time based on stock's mentions
|
||||
regions regions that show highest interest in stock
|
||||
queries top related queries with this stock
|
||||
rise top rising related queries with stock
|
||||
```
|
||||
Command|Description
|
||||
----|----
|
||||
[Reddit](https://reddit.com)|
|
||||
`wsb` |show what WSB gang is up to in subreddit wallstreetbets
|
||||
`watchlist` |show other users watchlist
|
||||
`popular` |show popular tickers
|
||||
`spac_c` |show other users spacs announcements from subreddit SPACs community
|
||||
`spac` |show other users spacs announcements from other subs
|
||||
[Stocktwits](https://stocktwits.com/)|
|
||||
`bullbear` |estimate quick sentiment from last 30 messages on board
|
||||
`messages` |output up to the 30 last messages on the board
|
||||
`trending` |trending stocks
|
||||
`stalker` |stalk stocktwits user's last message
|
||||
[Twitter](https://twitter.com/)|
|
||||
`infer` |infer about stock's sentiment from latest tweets
|
||||
`sentiment` |in-depth sentiment prediction from tweets over time
|
||||
[Google](https://google.com/)|
|
||||
`mentions` |interest over time based on stock's mentions
|
||||
`regions` |regions that show highest interest in stock
|
||||
`queries` |top related queries with this stock
|
||||
`rise` |top rising related queries with stock
|
||||
|
||||
### Research Web pages <a name="Research_Web_pages"></a>
|
||||
|
||||
```text
|
||||
macroaxis www.macroaxis.com
|
||||
yahoo www.finance.yahoo.com
|
||||
finviz www.finviz.com
|
||||
marketwatch www.marketwatch.com
|
||||
fool www.fool.com
|
||||
businessinsider www.markets.businessinsider.com
|
||||
fmp www.financialmodelingprep.com
|
||||
fidelity www.eresearch.fidelity.com
|
||||
tradingview www.tradingview.com
|
||||
marketchameleon www.marketchameleon.com
|
||||
stockrow www.stockrow.com
|
||||
barchart www.barchart.com
|
||||
grufity www.grufity.com
|
||||
fintel www.fintel.com
|
||||
zacks www.zacks.com
|
||||
macrotrends www.macrotrends.net
|
||||
newsfilter www.newsfilter.io
|
||||
|
||||
resources www.tradinganalysisresources.com
|
||||
```
|
||||
Command|Website
|
||||
----|----
|
||||
`macroaxis` |www.macroaxis.com
|
||||
`yahoo` |www.finance.yahoo.com
|
||||
`finviz` |www.finviz.com
|
||||
`marketwatch` |www.marketwatch.com
|
||||
`fool` |www.fool.com
|
||||
`businessinsider` |www.markets.businessinsider.com
|
||||
`fmp` |www.financialmodelingprep.com
|
||||
`fidelity` |www.eresearch.fidelity.com
|
||||
`tradingview` |www.tradingview.com
|
||||
`marketchameleon` |www.marketchameleon.com
|
||||
`stockrow` |www.stockrow.com
|
||||
`barchart` |www.barchart.com
|
||||
`grufity` |www.grufity.com
|
||||
`fintel` |www.fintel.com
|
||||
`zacks` |www.zacks.com
|
||||
`macrotrends` |www.macrotrends.net
|
||||
`newsfilter` |www.newsfilter.io
|
||||
`resources` |www.tradinganalysisresources.com
|
||||
|
||||
### [Fundamental Analysis](gamestonk_terminal/fundamental_analysis/README.md) <a name="Fundamental_Analysis"></a>
|
||||
|
||||
```text
|
||||
Daily Stock: BB (from 2020-06-04)
|
||||
|
||||
screener screen info about the company [Finviz]
|
||||
mgmt management team of the company [Business Insider]
|
||||
|
||||
Market Watch API
|
||||
income income statement of the company
|
||||
assets assets of the company
|
||||
liabilities liabilities and shareholders equity of the company
|
||||
operating cash flow operating activities of the company
|
||||
investing cash flow investing activities of the company
|
||||
financing cash flow financing activities of the company
|
||||
|
||||
Yahoo Finance API
|
||||
info information scope of the company
|
||||
shrs shareholders of the company
|
||||
sust sustainability values of the company
|
||||
cal calendar earnings and estimates of the company
|
||||
|
||||
Alpha Vantage API
|
||||
overview overview of the company
|
||||
income income statements of the company
|
||||
balance balance sheet of the company
|
||||
cash cash flow of the company
|
||||
earnings earnings dates and reported EPS
|
||||
|
||||
Financial Modeling Prep API
|
||||
profile profile of the company
|
||||
quote quote of the company
|
||||
enterprise enterprise value of the company over time
|
||||
dcf discounted cash flow of the company over time
|
||||
inc income statements of the company
|
||||
bal balance sheet of the company
|
||||
cashf cash flow of the company
|
||||
metrics key metrics of the company
|
||||
ratios financial ratios of the company
|
||||
growth financial statement growth of the company
|
||||
```
|
||||
Command|Description
|
||||
----- | ---------
|
||||
`screener` |screen info about the company ([Finviz](https://finviz.com/))
|
||||
`mgmt` |management team of the company ([Business Insider](https://markets.businessinsider.com/))
|
||||
[Market Watch API](https://markets.businessinsider.com/) |
|
||||
`income` |income statement of the company
|
||||
`assets` |assets of the company
|
||||
`liabilities` |liabilities and shareholders equity of the company
|
||||
`operating` |cash flow operating activities of the company
|
||||
`investing` |cash flow investing activities of the company
|
||||
`financing` |cash flow financing activities of the company
|
||||
[Yahoo Finance API](https://finance.yahoo.com/) |
|
||||
`info` |information scope of the company
|
||||
`shrs` |shareholders of the company
|
||||
`sust` |sustainability values of the company
|
||||
`cal` |calendar earnings and estimates of the company
|
||||
[Alpha Vantage API](https://www.alphavantage.co/) |
|
||||
`overview` |overview of the company
|
||||
`income` |income statements of the company
|
||||
`balance` |balance sheet of the company
|
||||
`cash` |cash flow of the company
|
||||
`earnings` |earnings dates and reported EPS
|
||||
[Financial Modeling Prep API](https://financialmodelingprep.com/) |
|
||||
`profile` |profile of the company
|
||||
`quote` |quote of the company
|
||||
`enterprise` |enterprise value of the company over time
|
||||
`dcf` |discounted cash flow of the company over time
|
||||
`inc` |income statements of the company
|
||||
`bal` |balance sheet of the company
|
||||
`cashf` |cash flow of the company
|
||||
`metrics` |key metrics of the company
|
||||
`ratios` |financial ratios of the company
|
||||
`growth` |financial statement growth of the company
|
||||
|
||||
### [Technical Analysis](gamestonk_terminal/technical_analysis/README.md) <a name="Technical_Analysis"></a>
|
||||
|
||||
```text
|
||||
overlap:
|
||||
ema exponential moving average
|
||||
sma simple moving average
|
||||
vwap volume weighted average price
|
||||
momentum:
|
||||
cci commodity channel index
|
||||
macd moving average convergence/divergence
|
||||
rsi relative strength index
|
||||
stoch stochastic oscillator
|
||||
trend:
|
||||
adx average directional movement index
|
||||
aroon aroon indicator
|
||||
volatility:
|
||||
bbands bollinger bands
|
||||
volume:
|
||||
ad chaikin accumulation/distribution line values
|
||||
obv on balance volume
|
||||
```
|
||||
Command | Description | Sources
|
||||
------ | ------ | ------
|
||||
[overlap](https://github.com/twopirllc/pandas-ta/tree/master/pandas_ta/overlap) |
|
||||
`ema` | exponential moving average | [Wikipedia](https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average), [Investopedia](https://www.investopedia.com/terms/e/ema.asp)
|
||||
`sma` |simple moving average | [Wikipedia](https://en.wikipedia.org/wiki/Moving_average#Simple_moving_average_(boxcar_filter)), [Investopedia](https://www.investopedia.com/terms/s/sma.asp)
|
||||
`vwap` |volume weighted average price | [Wikipedia](https://en.wikipedia.org/wiki/Volume-weighted_average_price), [Investopedia](https://www.investopedia.com/terms/v/vwap.asp)
|
||||
[momentum](https://github.com/twopirllc/pandas-ta/tree/master/pandas_ta/momentum) |
|
||||
`cci` |commodity channel index | [Wikipedia](https://en.wikipedia.org/wiki/Commodity_channel_index), [Investopedia](https://www.investopedia.com/terms/c/commoditychannelindex.asp)
|
||||
`macd` |moving average convergence/divergence | [Wikipedia](https://en.wikipedia.org/wiki/MACD), [Investopedia](https://www.investopedia.com/terms/m/macd.asp)
|
||||
`rsi` |relative strength index | [Wikipedia](https://en.wikipedia.org/wiki/Relative_strength_index), [Investopedia](https://www.investopedia.com/terms/r/rsi.asp)
|
||||
`stoch` |stochastic oscillator | [Wikipedia](https://en.wikipedia.org/wiki/Stochastic_oscillator), [Investopedia](https://www.investopedia.com/terms/s/stochasticoscillator.asp)
|
||||
[trend](https://github.com/twopirllc/pandas-ta/tree/master/pandas_ta/trend) |
|
||||
`adx` |average directional movement index | [Wikipedia](https://en.wikipedia.org/wiki/Average_directional_movement_index), [Investopedia](https://www.investopedia.com/terms/a/adx.asp)
|
||||
`aroon` |aroon indicator | [Investopedia](https://www.investopedia.com/terms/a/aroon.asp)
|
||||
[volatility](https://github.com/twopirllc/pandas-ta/tree/master/pandas_ta/volatility) |
|
||||
`bbands` |bollinger bands | [Wikipedia](https://en.wikipedia.org/wiki/Bollinger_Bands), [Investopedia](https://www.investopedia.com/terms/b/bollingerbands.asp)
|
||||
[volume](https://github.com/twopirllc/pandas-ta/tree/master/pandas_ta/volume) |
|
||||
`ad` |chaikin accumulation/distribution line values | [Wikipedia](https://en.wikipedia.org/wiki/Accumulation/distribution_index), [Investopedia](https://www.investopedia.com/terms/a/accumulationdistribution.asp)
|
||||
`obv` |on balance volume | [Wikipedia](https://en.wikipedia.org/wiki/On-balance_volume), [Investopedia](https://www.investopedia.com/terms/o/onbalancevolume.asp)
|
||||
|
||||
### [Due Diligence](gamestonk_terminal/due_diligence/README.md) <a name="Due_Diligence"></a>
|
||||
|
||||
```text
|
||||
news latest news of the company [Finviz]
|
||||
red gets due diligence from another user's post [Reddit]
|
||||
analyst analyst prices and ratings of the company [Finviz]
|
||||
rating rating of the company from strong sell to strong buy [FMP]
|
||||
pt price targets over time [Business Insider]
|
||||
est quarter and year analysts earnings estimates [Business Insider]
|
||||
ins insider activity over time [Business Insider]
|
||||
insider insider trading of the company [Finviz]
|
||||
sec SEC filings [Market Watch]
|
||||
short short interest [Quandl]
|
||||
warnings company warnings according to Sean Seah book [Market Watch]
|
||||
```
|
||||
Command|Explanation|Source
|
||||
------ | --------|----
|
||||
`news` |latest news of the company |[Finviz](https://finviz.com/)
|
||||
`red` |gets due diligence from another user's post |[Reddit](https://reddit.com)
|
||||
`analyst` |analyst prices and ratings of the company |[Finviz](https://finviz.com/)
|
||||
`rating` |rating of the company from strong sell to strong buy | [FMP](https://financialmodelingprep.com/)
|
||||
`pt` |price targets over time |[Business Insider](https://www.businessinsider.com/)
|
||||
`est` |quarter and year analysts earnings estimates |[Business Insider](https://www.businessinsider.com/)
|
||||
`ins` |insider activity over time |[Business Insider](https://www.businessinsider.com/)
|
||||
`insider` |insider trading of the company |[Finviz](https://finviz.com/)
|
||||
`sec` |SEC filings |[MarketWatch](https://www.marketwatch.com/)
|
||||
`short` |short interest |[Quandl](https://www.quandl.com/)
|
||||
`warnings` |company warnings according to Sean Seah book |[MarketWatch](https://www.marketwatch.com/)
|
||||
|
||||
|
||||
### [Prediction Techniques](gamestonk_terminal/prediction_techniques/README.md) <a name="Prediction_Techniques"></a>
|
||||
|
||||
```text
|
||||
sma simple moving average
|
||||
knn k-Nearest Neighbors
|
||||
linear linear regression (polynomial 1)
|
||||
quadratic quadratic regression (polynomial 2)
|
||||
cubic cubic regression (polynomial 3)
|
||||
regression regression (other polynomial)
|
||||
arima autoregressive integrated moving average
|
||||
prophet Facebook's prophet prediction
|
||||
mlp MultiLayer Perceptron
|
||||
rnn Recurrent Neural Network
|
||||
lstm Long-Short Term Memory
|
||||
```
|
||||
Command|Technique|Sources
|
||||
------ | ------------|---
|
||||
`sma` |simple moving average | [Wikipedia](https://en.wikipedia.org/wiki/Moving_average#Simple_moving_average), [Investopedia](https://www.investopedia.com/terms/s/sma.asp)
|
||||
`knn` |k-Nearest Neighbors | [Wikipedia](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm)
|
||||
`linear` |linear regression (polynomial 1) | [Wikipedia](https://en.wikipedia.org/wiki/Linear_regression), [Investopedia](https://www.investopedia.com/terms/r/regression.asp)
|
||||
`quadratic` |quadratic regression (polynomial 2) | [Wikipedia](https://en.wikipedia.org/wiki/Polynomial_regression), [Investopedia](https://www.investopedia.com/terms/r/regression.asp)
|
||||
`cubic` |cubic regression (polynomial 3) | [Wikipedia](https://en.wikipedia.org/wiki/Polynomial_regression), [Investopedia](https://www.investopedia.com/terms/r/regression.asp)
|
||||
`regression` |regression (other polynomial) | [Wikipedia](https://en.wikipedia.org/wiki/Polynomial_regression), [Investopedia](https://www.investopedia.com/terms/r/regression.asp)
|
||||
`arima` |autoregressive integrated moving average | [Wikipedia](https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average), [Investopedia](https://www.investopedia.com/terms/a/autoregressive-integrated-moving-average-arima.asp)
|
||||
`prophet` |Facebook's prophet prediction | [Details](https://facebook.github.io/prophet/)
|
||||
`mlp` |MultiLayer Perceptron | [Wikipedia](https://en.wikipedia.org/wiki/Multilayer_perceptron)
|
||||
`rnn` |Recurrent Neural Network | [Wikipedia](https://en.wikipedia.org/wiki/Recurrent_neural_network)
|
||||
`lstm` |Long Short-Term Memory | [Wikipedia](https://en.wikipedia.org/wiki/Long_short-term_memory), [Details](https://colah.github.io/posts/2015-08-Understanding-LSTMs/)
|
||||
|
||||
## Install <a name="Install"></a>
|
||||
|
||||
This project was written and tested with Python 3.6.8.
|
||||
|
||||
In order to install all libraries used by this repository, you must run
|
||||
In order to install, you must run:
|
||||
|
||||
```text
|
||||
git clone https://github.com/DidierRLopes/GamestonkTerminal
|
||||
cd GamestonkTerminal/
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
Then run:
|
||||
|
||||
```text
|
||||
python gamestonk_terminal.py
|
||||
```
|
||||
|
||||
Note: The libraries specified in the [requirements.txt](/requirements.txt) file have been tested and work for the purpose of this project, however, these may be older versions. Hence, it is recommended for the user to set up a virtual python environment prior to installing these. This allows to keep dependencies required by different projects in separate places.
|
||||
|
||||
Note: The libraries specified in the [requirements.txt](/requirements.txt) file have been tested and work for the purpose of this project, however, these may be older versions. Hence, it is recommended for the user to set up a virtual python environment prior to installing these. This allows to keep dependencies required by different projects in separate places.
|
||||
|
||||
## API Keys <a name="API_Keys"></a>
|
||||
@@ -239,7 +247,7 @@ These are the ones where a key is necessary:
|
||||
* Reddit: <https://www.reddit.com/prefs/apps>
|
||||
* Twitter: <https://developer.twitter.com>
|
||||
|
||||
When these are obtained, don't forget to update [config_terminal.py](/config_terminal.py). Alternatively, you can also set them to the following environment variables
|
||||
When these are obtained, don't forget to update [config_terminal.py](gamestonk_terminal/config_terminal.py). Alternatively, you can also set them to the following environment variables
|
||||
|
||||
* GT_API_KEY_ALPHAVANTAGE
|
||||
* GT_API_KEY_FINANCIALMODELINGPREP
|
||||
@@ -253,6 +261,8 @@ When these are obtained, don't forget to update [config_terminal.py](/config_ter
|
||||
* GT_API_TWITTER_SECRET_KEY
|
||||
* GT_API_TWITTER_BEARER_TOKEN.
|
||||
|
||||
Note that it is not necessary to have a valid Alpha Vantage key to get daily OHLC values.
|
||||
|
||||
## Disclaimer <a name="Disclaimer"></a>
|
||||
|
||||
"A few things I am not. I am not a cat. I am not an institutional investor, nor am I a hedge fund. I do not have clients and I do not provide personalized investment advice for fees or commissions." DFV
|
||||
|
||||
6
docker-compose.yaml
Normal file
6
docker-compose.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
version: '3.8'
|
||||
services:
|
||||
gamestonkterminal:
|
||||
build:
|
||||
context: .
|
||||
image: gamestonkterminal:dev
|
||||
@@ -226,6 +226,11 @@ Prints a complete cash flow statement over time. This can be either quarterly or
|
||||
* n : Number of latest years/quarters. Default 1.
|
||||
* q : Quarter fundamental data flag. Default False.
|
||||
|
||||
Prints a complete cash flow statement over time. This can be either quarterly or annually. The following fields are expected: Accepted date, Accounts payables, Accounts receivables, Acquisitions net, Capital expenditure, Cash at beginning of period, Cash at end of period, Change in working capital, Common stock issued, Common stock repurchased, Debt repayment, Deferred income tax, Depreciation and amortization, Dividends paid, Effect of forex changes on cash, Filling date, Final link, Free cash flow, Inventory, Investments in property plant and equipment, Link, Net cash provided by operating activities, Net cash used for investing activities, Net cash used provided by financing activities, Net change in cash, Net income, Operating cash flow, Other financing activities, Other investing activities, Other non cash items, Other working capital, Period, Purchases of investments, Sales maturities of investments, Stock based compensation. [Source: Alpha Vantage]
|
||||
|
||||
* n : Number of latest years/quarters. Default 1.
|
||||
* q : Quarter fundamental data flag. Default False.
|
||||
|
||||
### earnings <a name="earnings"></a>
|
||||
|
||||
```text
|
||||
@@ -310,6 +315,11 @@ Prints a complete cash flow statement over time. This can be either quarterly or
|
||||
* n : Number of latest years/quarters. Default 1.
|
||||
* q : Quarter fundamental data flag. Default False.
|
||||
|
||||
Prints a complete cash flow statement over time. This can be either quarterly or annually. The following fields are expected: Accepted date, Accounts payables, Accounts receivables, Acquisitions net, Capital expenditure, Cash at beginning of period, Cash at end of period, Change in working capital, Common stock issued, Common stock repurchased, Debt repayment, Deferred income tax, Depreciation and amortization, Dividends paid, Effect of forex changes on cash, Filling date, Final link, Free cash flow, Inventory, Investments in property plant and equipment, Link, Net cash provided by operating activities, Net cash used for investing activities, Net cash used provided by financing activities, Net change in cash, Net income, Operating cash flow, Other financing activities, Other investing activities, Other non cash items, Other working capital, Period, Purchases of investments, Sales maturities of investments, Stock based compensation. [Source: Financial Modeling Prep]
|
||||
|
||||
* n : Number of latest years/quarters. Default 1.
|
||||
* q : Quarter fundamental data flag. Default False.
|
||||
|
||||
### metrics <a name="metrics"></a>
|
||||
|
||||
```text
|
||||
|
||||
@@ -84,11 +84,10 @@ def info(l_args, s_ticker):
|
||||
|
||||
filepath = "fundamental_analysis/key_metrics_explained.txt"
|
||||
with open(filepath) as fp:
|
||||
# Fix: this needs to be going somewhere
|
||||
# pylint: disable=unused-variable
|
||||
line = fp.readline()
|
||||
while line:
|
||||
print("{}".format(line.strip()))
|
||||
line = fp.readline()
|
||||
print("")
|
||||
print("")
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
@@ -135,6 +135,6 @@ def pred_menu(df_stock, s_ticker, s_start, s_interval):
|
||||
elif ns_known_args.cmd == "lstm":
|
||||
neural_networks.lstm(l_args, s_ticker, s_interval, df_stock)
|
||||
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------------------------------------------------
|
||||
else:
|
||||
print("Command not recognized!")
|
||||
|
||||
@@ -6,6 +6,7 @@ from gamestonk_terminal.technical_analysis import trend as ta_trend
|
||||
from gamestonk_terminal.technical_analysis import volatility as ta_volatility
|
||||
from gamestonk_terminal.technical_analysis import volume as ta_volume
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------------------------------------------------
|
||||
def print_technical_analysis(s_ticker, s_start, s_interval):
|
||||
""" Print help """
|
||||
|
||||
14
gamestonk_terminal/tests/test_pred_neural_networks.py
Normal file
14
gamestonk_terminal/tests/test_pred_neural_networks.py
Normal file
@@ -0,0 +1,14 @@
|
||||
""" fundamental_analysis/yahoo_finance_api.py tests """
|
||||
# noqa: F401
|
||||
import unittest
|
||||
|
||||
# pylint: disable=unused-import
|
||||
import pytest
|
||||
|
||||
from gamestonk_terminal.prediction_techniques.neural_networks import mlp
|
||||
|
||||
|
||||
class TestPredNeuralNetworks(unittest.TestCase):
|
||||
def test_mlp(self):
|
||||
# Fix: need to move loading of ticker data into a df somewhere
|
||||
mlp([], "TLSA", None, None)
|
||||
2910
poetry.lock
generated
Normal file
2910
poetry.lock
generated
Normal file
File diff suppressed because it is too large
Load Diff
37
pyproject.toml
Normal file
37
pyproject.toml
Normal file
@@ -0,0 +1,37 @@
|
||||
[tool.poetry]
|
||||
name = "GamestonkTerminal"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Didier Rodrigues Lopes"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.6.8"
|
||||
fbprophet = "^0.6"
|
||||
pandas = "^1.1.5"
|
||||
iso8601 = "^0.1.14"
|
||||
FundamentalAnalysis = "^0.2.6"
|
||||
requests = "^2.25.1"
|
||||
alpha-vantage = "^2.3.1"
|
||||
finviz = "^1.3.4"
|
||||
bs4 = "^0.0.1"
|
||||
rapidfuzz = "^1.1.1"
|
||||
yfinance = "^0.1.55"
|
||||
pandas-ta = "^0.2.23b0"
|
||||
prettytable = "^2.0.0"
|
||||
psaw = "^0.0.12"
|
||||
praw = "^7.1.4"
|
||||
Quandl = "^3.6.0"
|
||||
flair = "^0.7"
|
||||
pytrends = "^4.7.3"
|
||||
TimeSeriesCrossValidation = { git = "https://github.com/DidierRLopes/TimeSeriesCrossValidation.git", branch = "master" }
|
||||
pmdarima = "^1.8.0"
|
||||
tensorflow = "^2.4.1"
|
||||
matplotlib = "^3.3.3"
|
||||
plotly = "^4.14.3"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pytest = "^6.2.2"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
242
requirements.txt
242
requirements.txt
@@ -1,141 +1,129 @@
|
||||
absl-py==0.11.0
|
||||
aiohttp==3.7.3
|
||||
absl-py==0.11.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.2.0"
|
||||
aiohttp==3.7.4; python_version >= "3.6"
|
||||
alpha-vantage==2.3.1
|
||||
# appscript==1.1.2
|
||||
astunparse==1.6.3
|
||||
async-timeout==3.0.1
|
||||
attrs==20.3.0
|
||||
async-timeout==3.0.1; python_full_version >= "3.5.3" and python_version >= "3.6"
|
||||
attrs==20.3.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
beautifulsoup4==4.9.3
|
||||
black==20.8b1
|
||||
bpemb==0.3.2
|
||||
cachetools==4.2.1
|
||||
certifi==2020.12.5
|
||||
chardet==3.0.4
|
||||
click==7.1.2
|
||||
cloudpickle==1.6.0
|
||||
codespell==2.0.0
|
||||
config==0.5.0.post0
|
||||
convertdate==2.3.1
|
||||
cssselect==1.1.0
|
||||
cycler==0.10.0
|
||||
Cython==0.29.17
|
||||
decorator==4.4.2
|
||||
Deprecated==1.2.11
|
||||
fbprophet==0.7.1
|
||||
filelock==3.0.12
|
||||
finviz @ git+https://github.com/mariostoev/finviz@be8dc934e80bf03d26ddd37b4c78a5e3d57abeef
|
||||
flair==0.7
|
||||
bpemb==0.3.2; python_version >= "3.6"
|
||||
bs4==0.0.1
|
||||
cachetools==4.2.1; python_version >= "3.5" and python_version < "4.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0")
|
||||
certifi==2020.12.5; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
chardet==3.0.4; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
|
||||
click==7.1.2; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
cloudpickle==1.6.0; python_version >= "3.6"
|
||||
cmdstanpy==0.4.0
|
||||
convertdate==2.3.1; python_version >= "3.5"
|
||||
cssselect==1.1.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
|
||||
cycler==0.10.0; python_version >= "3.6"
|
||||
cython==0.29.17; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6"
|
||||
dataclasses==0.8; python_version >= "3.6" and python_version < "3.7" and python_full_version >= "3.6.2"
|
||||
decorator==4.4.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.2.0" and python_version >= "3.6"
|
||||
deprecated==1.2.11; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
ephem==3.7.7.1; python_version >= "2.7" and python_version < "4"
|
||||
fbprophet==0.6
|
||||
filelock==3.0.12; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
finviz==1.3.4
|
||||
flair==0.7; python_version >= "3.6"
|
||||
flatbuffers==1.12
|
||||
ftfy==5.9
|
||||
FundamentalAnalysis==0.2.6
|
||||
future==0.18.2
|
||||
gast==0.3.3
|
||||
gdown==3.12.2
|
||||
gensim==3.8.3
|
||||
google-auth==1.27.0
|
||||
google-auth-oauthlib==0.4.2
|
||||
ftfy==5.9; python_version >= "3.6"
|
||||
fundamentalanalysis==0.2.6
|
||||
future==0.18.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6"
|
||||
gast==0.3.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
|
||||
gdown==3.12.2; python_version >= "3.6"
|
||||
gensim==3.8.2; python_version >= "3.6"
|
||||
google-auth-oauthlib==0.4.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.2.0" and python_version >= "3.6"
|
||||
google-auth==1.27.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
google-pasta==0.2.0
|
||||
grpcio==1.32.0
|
||||
grpcio==1.32.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.2.0"
|
||||
h5py==2.10.0
|
||||
hijri-converter==2.1.1
|
||||
hijri-converter==2.1.1; python_version >= "3.6"
|
||||
holidays==0.10.5.2
|
||||
hyperopt==0.2.5
|
||||
idna==2.10
|
||||
importlib-metadata==3.7.0
|
||||
inflection==0.5.1
|
||||
hyperopt==0.2.5; python_version >= "3.6"
|
||||
idna-ssl==1.1.0; python_version < "3.7" and python_version >= "3.6"
|
||||
idna==2.10; python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.7" or python_version < "3.7" and python_version >= "3.6" and python_full_version >= "3.5.0"
|
||||
importlib-metadata==3.7.0; python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.2.0" and python_version >= "3.6" and python_version < "3.8"
|
||||
inflection==0.5.1; python_version >= "3.5"
|
||||
iso8601==0.1.14
|
||||
jupyter==1.0.0
|
||||
Janome==0.4.1
|
||||
joblib==1.0.1
|
||||
Keras-Preprocessing==1.1.2
|
||||
kiwisolver==1.3.1
|
||||
konoha==4.6.2
|
||||
janome==0.4.1; python_version >= "3.6"
|
||||
joblib==1.0.1; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
keras-preprocessing==1.1.2
|
||||
kiwisolver==1.3.1; python_version >= "3.6"
|
||||
konoha==4.6.2; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.6"
|
||||
korean-lunar-calendar==0.2.1
|
||||
langdetect==1.0.8
|
||||
levenshtein==0.12.0
|
||||
LunarCalendar==0.0.9
|
||||
lxml==4.6.2
|
||||
Markdown==3.3.4
|
||||
# matplotlib==3.1.1
|
||||
matplotlib==3.3.2
|
||||
more-itertools==8.7.0
|
||||
mpld3==0.3
|
||||
mplfinance==0.12.7a7
|
||||
multidict==5.1.0
|
||||
langdetect==1.0.8; python_version >= "3.6"
|
||||
lunarcalendar==0.0.9; python_version >= "2.7" and python_version < "4"
|
||||
lxml==4.6.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
|
||||
markdown==3.3.4; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.2.0" and python_version >= "3.6"
|
||||
matplotlib==3.3.4; python_version >= "3.6"
|
||||
more-itertools==8.7.0; python_version >= "3.5"
|
||||
mpld3==0.3; python_version >= "3.6"
|
||||
multidict==5.1.0; python_version >= "3.6"
|
||||
multitasking==0.0.9
|
||||
networkx==2.5
|
||||
numpy==1.19.2
|
||||
oauthlib==3.1.0
|
||||
opt-einsum==3.3.0
|
||||
overrides==3.0.0
|
||||
packaging==20.9
|
||||
pandas==1.1.5
|
||||
pandas-ta==0.2.23b0
|
||||
papermill==2.3.2
|
||||
patsy==0.5.1
|
||||
networkx==2.5; python_version >= "3.6"
|
||||
numpy==1.19.5; python_version >= "3.6" and python_full_version >= "3.6.2" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.2.0" and python_version >= "3.6")
|
||||
oauthlib==3.1.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
opt-einsum==3.3.0; python_version >= "3.5"
|
||||
overrides==3.0.0; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.6"
|
||||
packaging==20.9; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
pandas-ta==0.2.45b
|
||||
pandas==1.1.5; python_full_version >= "3.6.1"
|
||||
patsy==0.5.1; python_version >= "3.6"
|
||||
pillow==8.1.0; python_version >= "3.6"
|
||||
plotly==4.14.3
|
||||
pmdarima==1.8.0
|
||||
praw==7.2.0
|
||||
prawcore==2.0.0
|
||||
prettytable==2.0.0
|
||||
protobuf==3.15.2
|
||||
psaw==0.0.12
|
||||
psutil==5.8.0
|
||||
pyasn1==0.4.8
|
||||
pyasn1-modules==0.2.8
|
||||
PyMeeus==0.4.2
|
||||
pylint==2.7.0
|
||||
pyparsing==2.4.7
|
||||
PySocks==1.7.1
|
||||
pytest==6.2.2
|
||||
python-dateutil==2.8.1
|
||||
python-Levenshtein==0.12.2
|
||||
pmdarima==1.8.0; python_version >= "3.6"
|
||||
praw==7.2.0; python_version >= "3.6" and python_version < "4.0"
|
||||
prawcore==2.0.0; python_version >= "3.6" and python_version < "4.0"
|
||||
prettytable==2.0.0; python_version >= "3.6"
|
||||
protobuf==3.15.3; python_full_version >= "3.6.0" and python_version >= "3.6" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.2.0")
|
||||
psaw==0.0.12; python_version >= "3"
|
||||
pyasn1-modules==0.2.8; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
|
||||
pyasn1==0.4.8; python_version >= "3.5" and python_full_version < "3.0.0" and python_version < "4" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6") or python_version >= "3.5" and python_version < "4" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6") and python_full_version >= "3.6.0"
|
||||
pymeeus==0.4.3; python_version >= "3.5"
|
||||
pyparsing==2.4.7; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
pysocks==1.7.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
pystan==2.18
|
||||
python-dateutil==2.8.1; python_full_version >= "3.6.1" and python_version >= "3.5" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6") and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0") and (python_version >= "2.7" and python_full_version < "3.0.0" and python_version < "4" or python_version >= "2.7" and python_version < "4" and python_full_version >= "3.3.0")
|
||||
pytrends==4.7.3
|
||||
pytz==2019.3
|
||||
Quandl==3.6.0
|
||||
rapidfuzz==1.1.1
|
||||
regex==2020.11.13
|
||||
requests==2.25.1
|
||||
requests-oauthlib==1.3.0
|
||||
rsa==4.7.2
|
||||
sacremoses==0.0.43
|
||||
scikit-learn==0.24.1
|
||||
scipy==1.6.1
|
||||
segtok==1.5.10
|
||||
sentencepiece==0.1.91
|
||||
six==1.15.0
|
||||
smart-open==4.2.0
|
||||
soupsieve==2.2
|
||||
sqlitedict==1.7.0
|
||||
statsmodels==0.12.2
|
||||
tabulate==0.8.9
|
||||
tensorboard==2.4.1
|
||||
tensorboard-plugin-wit==1.8.0
|
||||
tensorflow==2.4.1
|
||||
pytz==2021.1; python_full_version >= "3.6.1" and python_version >= "3.5" and python_version < "4"
|
||||
quandl==3.6.0; python_version >= "3.5"
|
||||
rapidfuzz==1.1.1; python_version >= "2.7"
|
||||
regex==2020.11.13; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
requests-oauthlib==1.3.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
requests==2.25.1; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
|
||||
retrying==1.3.3
|
||||
rsa==4.7.2; python_version >= "3.5" and python_version < "4" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6")
|
||||
sacremoses==0.0.43; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
scikit-learn==0.24.1; python_version >= "3.6"
|
||||
scipy==1.5.4; python_version >= "3.6"
|
||||
segtok==1.5.10; python_version >= "3.6"
|
||||
sentencepiece==0.1.91; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
setuptools-git==1.2
|
||||
six==1.15.0; python_full_version >= "3.6.0" and python_version >= "3.6" and python_version < "4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6") and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0")
|
||||
smart-open==4.2.0; python_version >= "3.6"
|
||||
soupsieve==2.2; python_version >= "3.6"
|
||||
sqlitedict==1.7.0; python_version >= "3.6"
|
||||
statsmodels==0.12.2; python_version >= "3.6"
|
||||
tabulate==0.8.9; python_version >= "3.6"
|
||||
tensorboard-plugin-wit==1.8.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.2.0"
|
||||
tensorboard==2.4.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.2.0"
|
||||
tensorflow-estimator==2.4.0
|
||||
termcolor==1.1.0
|
||||
threadpoolctl==2.1.0
|
||||
TimeSeriesCrossValidation @ git+https://github.com/DidierRLopes/TimeSeriesCrossValidation@1e29d393204abb3bde23ff3f15258ed85d3b263e
|
||||
tokenizers==0.9.3
|
||||
torch==1.7.1
|
||||
tqdm==4.57.0
|
||||
transformers==3.5.1
|
||||
typing-extensions==3.7.4.3
|
||||
update-checker==0.18.0
|
||||
urllib3==1.26.3
|
||||
user-agent==0.1.9
|
||||
wcwidth==0.2.5
|
||||
websocket-client==0.57.0
|
||||
Werkzeug==1.0.1
|
||||
wrapt==1.12.1
|
||||
XlsxWriter==1.2.7
|
||||
xlwings==0.16.4
|
||||
yahoo-fin==0.8.4
|
||||
yarl==1.6.3
|
||||
yfinance==0.1.55
|
||||
beautifulsoup4==4.9.3
|
||||
FundamentalAnalysis==0.2.6
|
||||
python_dateutil==2.8.1
|
||||
scikit_learn==0.24.1
|
||||
tensorflow==2.4.1
|
||||
zipp==3.4.0
|
||||
termcolor==1.1.0
|
||||
threadpoolctl==2.1.0; python_version >= "3.6"
|
||||
timeseriescrossvalidation @ git+https://github.com/DidierRLopes/TimeSeriesCrossValidation.git@master
|
||||
tokenizers==0.9.3; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
torch==1.7.1; python_full_version >= "3.6.2" and python_version >= "3.6"
|
||||
tqdm==4.58.0; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
transformers==3.5.1; python_full_version >= "3.6.0" and python_version >= "3.6"
|
||||
typing-extensions==3.7.4.3; python_full_version >= "3.6.2" and python_version >= "3.6" and python_version < "3.8" and (python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.2.0" and python_version >= "3.6" and python_version < "3.8")
|
||||
update-checker==0.18.0; python_version >= "3.6" and python_version < "4.0"
|
||||
urllib3==1.26.3; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4" and python_version >= "3.6"
|
||||
user-agent==0.1.9
|
||||
wcwidth==0.2.5; python_version >= "3.6"
|
||||
websocket-client==0.57.0; python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.6" and python_version < "4.0" and python_full_version >= "3.4.0"
|
||||
werkzeug==1.0.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
|
||||
wrapt==1.12.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
|
||||
yarl==1.6.3; python_version >= "3.6"
|
||||
yfinance==0.1.55
|
||||
zipp==3.4.0; python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.2.0" and python_version >= "3.6" and python_version < "3.8"
|
||||
|
||||
Reference in New Issue
Block a user