mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-11-02 07:23:25 +00:00
Merge pull request #418 from DidierRLopes/fixme
Several bugfixes + minor improvements
This commit is contained in:
DidierRLopes
@@ -26,7 +26,7 @@
|
||||
<br />
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||||
<p align="center">
|
||||
<a href="https://github.com/DidierRLopes/GamestonkTerminal">
|
||||
<img src="images/GamestonkLogo.png" alt="Logo" width="400" height="350">
|
||||
<img src="images/gst_logo.png" alt="Logo" width="400" height="400">
|
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</a>
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<h3 align="center">Gamestonk Terminal 🚀</h3>
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@@ -136,13 +136,15 @@ cd GamestonkTerminal/
|
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conda install poetry
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||||
```
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7.5. If installing python 3.8
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||||
7.1. If installing python 3.8
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```
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conda deactivate
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conda activate gst
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```
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||||
*The `conda deactivate` -> `conda activate` in the middle is on purpose, this is sometimes required to avoid issues with poetry*
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|
||||
7.2. If on Windows, install/update Microsoft C++ Build Tools from here: https://visualstudio.microsoft.com/visual-cpp-build-tools/
|
||||
|
||||
8. Install poetry dependencies
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```
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poetry install
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@@ -327,6 +329,8 @@ Distributed under the MIT License. See [LICENSE](https://github.com/DidierRLopes
|
||||
|
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"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
|
||||
|
||||
Trading in financial instruments involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Before deciding to trade in financial instrument you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed. The data contained in GST is not necessarily accurate. GST and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information displayed.
|
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|
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## Contacts
|
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|
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[Didier Rodrigues Lopes](https://www.linkedin.com/in/didier-lopes/) - dro.lopes@campus.fct.unl.pt
|
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|
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@@ -15,7 +15,7 @@
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||||
* [Residual Analysis](#Residual-Analysis)
|
||||
* [Portfolio Analysis](#Portfolio-Analysis)
|
||||
* [Portfolio Optimization](#Portfolio-Optimization)
|
||||
* [FRED](#FRED)
|
||||
* [Economy](#Economy)
|
||||
* [Options](#Options)
|
||||
* [Credit Analysis](#Credit-Analysis)
|
||||
* [Cryptocurrencies](#Cryptocurrencies)
|
||||
@@ -146,6 +146,7 @@
|
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* [x] Add alpaca (@jmaslek) - [PR #259](https://github.com/DidierRLopes/GamestonkTerminal/pull/229)
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* [x] Add robinhood (@jmaslek) - [PR #229](https://github.com/DidierRLopes/GamestonkTerminal/pull/229)
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* [x] Add Ally Invest (@jmaslek) - [PR #267](https://github.com/DidierRLopes/GamestonkTerminal/pull/267)
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* [x] Degiro support (@deel) - [PR #381](https://github.com/DidierRLopes/GamestonkTerminal/pull/381)
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|
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**NEXT**
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* [ ] Merge data from different brokers (@jmaslek)
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@@ -166,8 +167,9 @@ ___
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---
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## FRED
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## Economy
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* [x] Implement Economic data (gpd, unemployment rate, ...) (@jmaslek) - [PR #167](https://github.com/DidierRLopes/GamestonkTerminal/pull/167)
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* [x] Refactor FRED to ECON menu and add VIX view (@jmaslek) - [PR #405](https://github.com/DidierRLopes/GamestonkTerminal/pull/405)
|
||||
|
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**NEXT**
|
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|
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@@ -208,6 +210,7 @@ ___
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* [x] Add screener signals (e.g. top gainers, new highs, most volatile, oversold, major news, ...) from Finviz (@didier) - [PR #314](https://github.com/DidierRLopes/GamestonkTerminal/pull/314)
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* [x] Plot screener historical using Yahoo Finance data (@didier) - [PR #319](https://github.com/DidierRLopes/GamestonkTerminal/pull/319)
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* [x] Add command to take tickers to portfolio optimization (@didier) - [PR #349](https://github.com/DidierRLopes/GamestonkTerminal/pull/349)
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* [x] Add flags to save screeners and run papermill on returned tickers (@alokan) - [PR #414](https://github.com/DidierRLopes/GamestonkTerminal/pull/414)
|
||||
|
||||
**NEXT**
|
||||
|
||||
@@ -215,6 +218,7 @@ ___
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||||
|
||||
## Forex
|
||||
* [x] Add entire forex menu through Oanda (@alokan) - [PR #360](https://github.com/DidierRLopes/GamestonkTerminal/pull/360)
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* [x] Add EDA menu, Behavioural Analysis menu, Due Diligence from other users in Reddit, and latest news regarding currency provided. (@alokan) - [PR #387](https://github.com/DidierRLopes/GamestonkTerminal/pull/387)
|
||||
|
||||
**NEXT**
|
||||
|
||||
@@ -250,6 +254,7 @@ ___
|
||||
* [x] Add Feature Flags (@aia) - [PR #158](https://github.com/DidierRLopes/GamestonkTerminal/pull/158)
|
||||
* [x] Add ad-hoc builds (@aia) - [PR #192](https://github.com/DidierRLopes/GamestonkTerminal/pull/192)
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||||
* [x] Add test generators and test parametrization helpers (@aia) - [PR #264](https://github.com/DidierRLopes/GamestonkTerminal/pull/264)
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||||
* [x] Sphinx documentation https://gamestonk-terminal.readthedocs.io/en/latest/index.html (@piiq) - [PR #413](https://github.com/DidierRLopes/GamestonkTerminal/pull/413)
|
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|
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**NEXT**
|
||||
* [ ] Write a developer guide
|
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@@ -14,10 +14,11 @@
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* [Comparison Analysis](#Comparison-Analysis-)
|
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* [Exploratory Data Analysis](#Exploratory-Data-Analysis-)
|
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* [Residual Analysis](#Residual-Analysis-)
|
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* [Economic Data](#Econ-)
|
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* [Economy](#Economy)
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* [Options](#Options-)
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* [Screener](#Screener-)
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* [Forex](#Forex-)
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* [Backtesting](#Backtesting-)
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|
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## Main
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@@ -237,6 +238,7 @@ Command|Technique|Sources
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`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/)
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|
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## Portfolio Analysis [»](portfolio/README.md)
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Command|Description|Brokers
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@@ -250,6 +252,7 @@ Command|Description|Brokers
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`hold` | view net holdings across all logins
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## Portfolio Optimization [»](portfolio_optimization/README.md)
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|
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Command|Description
|
||||
@@ -267,7 +270,6 @@ Command|Description
|
||||
|
||||
|
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## Cryptocurrency [»](cryptocurrency/README.md)
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Command|Description
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@@ -277,6 +279,7 @@ Command|Description
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||||
`top` | view top coins from coinmarketcap
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## Comparison Analysis [»](comparison_analysis/README.md)
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Command|Description|Source
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------ | --------|----
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@@ -323,23 +326,22 @@ Command|Description|Source
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||||
`independence` |tests independent and identically distributed (BDS) | [Wikipedia](https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test#Testing_for_statistical_independence)
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## ECON [»](econ/README.md)
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## Economy [»](econ/README.md)
|
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Command|Description
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------ | --------
|
||||
FRED Data |
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`gdp` | GDP
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`unemp` | Unemployment Rate
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`t1` | 1-Year Treasury Constant Maturity Rate
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`t5` | 5-Year Treasury Constant Maturity Rate
|
||||
`t10` | 10-Year Treasury Constant Maturity Rate
|
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`t30` | 30-Year Treasury Constant Maturity Rate
|
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`mort30` | 30-Year Fixed Rate Mortgage Average
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`fedrate` | Effective Federal Funds Rate
|
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`moodAAA` | Moody's Seasoned AAA Corporate Bond Yield
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`usdcad` | Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)
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`cust` | User Specified FRED Data - Please Specify --id
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VIX Data |
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`view` | Plots VIX Historical Data
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`vixcls` | Volatility Index
|
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`gdp` | Gross Domestic Product
|
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`unrate` | Unemployment Rate
|
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`dgs1` | 1-Year Treasury Constant Maturity Rate
|
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`dgs5` | 5-Year Treasury Constant Maturity Rate
|
||||
`dgs10` | 10-Year Treasury Constant Maturity Rate
|
||||
`dgs30` | 30-Year Treasury Constant Maturity Rate
|
||||
`mortgage30us` | 30-Year Fixed Rate Mortgage Average
|
||||
`fedfunds` | Effective Federal Funds Rate
|
||||
`aaa` | Moody's Seasoned AAA Corporate Bond Yield
|
||||
`dexcaus` | Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)
|
||||
|
||||
|
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|
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## Options [»](options/README.md)
|
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@@ -371,7 +373,6 @@ signals |view filter signals (e.g. -s top_gainers)
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|
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|
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## Forex [»](forex/README.md)
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Command|Description
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------ | --------
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@@ -390,5 +391,11 @@ order |place a limit order
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orderbook |display the orderbook if Oanda provides one for the forex instrument
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positionbook |display the positionbook if Oanda provides one for the forex instrument
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|
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|
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## Backtesting [»](backtesting/README.md)
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Command|Description
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------ | --------
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`ema` | buy when price exceeds EMA(l)
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`ema_cross` | buy when EMA(short) > EMA(long)
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`rsi` | buy when RSI < low and sell when RSI > high
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@@ -1,53 +1,52 @@
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# Backtesting
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The goal of this menu is to allow super simple research into potential strategies.
|
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We currently provides a couple basic options for starting with backtesting strategies. Note that this is currently just a
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simple logic (i.e price comparisons). Obviously these strategies should not be used immediately and should be researched,
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improved and further tested on your own.
|
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This menu aims to apply backtesting strategies regarding a pre-loaded ticker, and the usage of the following commands along with an example will be exploited below. Note that this is currently just a simple logic (i.e price comparisons). These strategies should not be used immediately and should be researched, improved and further tested on your own.
|
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|
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The current implementation uses the [bt](#http://pmorissette.github.io/bt/index.html) library.
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* [ema](#ema)
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* buy when price exceeds EMA(l)
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* [ema_cross](#ema_cross)
|
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* buy when EMA(short) > EMA(long)
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* [rsi](#rsi)
|
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* buy when RSI < low and sell when RSI > high
|
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|
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Current strategies are:
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* [Simple EMA](#SimpleEMA)
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* Buys the stock when `price > EMA(l)`
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* [EMA Cross](#EMA Cross)
|
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* Buys when EMA(short) > EMA(long) and sells when the opposite is true
|
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|
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* [RSI](#RSI)
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* Momentum strategy that longs when RSI < threshold (oversold) and shorts when
|
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NOTE: The current implementation uses the [bt](#http://pmorissette.github.io/bt/index.html) library.
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### SimpleEMA <a name="SimpleEMA"></a>
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This strategy buys when price > EMA(l)
|
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### ema <a name="ema"></a>
|
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````
|
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usage: ema [-l] [--spy] [--no_bench]
|
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````
|
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|
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This strategy buys when price > EMA(l).
|
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* -l: Period of EMA to use. Default = 20.
|
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* [--spy]: Flag that overlays the results if you buy and hold SPY
|
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* [--no_bench]: Flag that removes the benchmark comparison of just buy and hold the stock.
|
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|
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im:
|
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|
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<img width="983" alt="ema2" src="https://user-images.githubusercontent.com/25267873/116769582-1d824f80-aa35-11eb-94bd-ecd4abe3b415.png">
|
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|
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### EMA Cross <a name="EMA Cross"></a>
|
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This strategy goes long when EMA(short) > EMA(long) and goes short when
|
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EMA(short) < EMA(long). I provide the option to go long only through the --no_short flag
|
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|
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### ema_cross <a name="ema_cross"></a>
|
||||
````
|
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usage: ema_cross [-l] [-s] [--spy] [--no_bench] [--no_short]
|
||||
````
|
||||
|
||||
This strategy goes long when EMA(short) > EMA(long) and goes short when EMA(short) < EMA(long). It provides the option to go long only through the --no_short flag.
|
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* -l/--long: Long period of EMA to use. Default = 50.
|
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* -s/--short: Short period of EMA to use. Default = 20.
|
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* [--spy]: Flag that overlays the results if you buy and hold SPY
|
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* [--no_bench]: Flag that removes the benchmark comparison of just buy and hold the stock.
|
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* [--no_short]: Flag that removes the shortable option. Will just be long positions when short > long EMAs.
|
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|
||||
im
|
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### RSI <a name="RSI"></a>
|
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This strategy goes long when the RSI is "oversold" - defined as the low parameter. It goes short when
|
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the RSI is "overbought" - defined as the high (upper) parameter
|
||||
|
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<img width="979" alt="ema_cross2" src="https://user-images.githubusercontent.com/25267873/116769583-1e1ae600-aa35-11eb-9732-9fda8eb2a8b1.png">
|
||||
|
||||
|
||||
### rsi <a name="rsi"></a>
|
||||
````
|
||||
usage: rsi [-u] [-l] [-p] [--spy] [--no_bench] [--no_short]
|
||||
````
|
||||
|
||||
This strategy goes long when the RSI is "oversold" - defined as the low parameter. It goes short when the RSI is "overbought" - defined as the high (upper) parameter
|
||||
* -u/--high: High (upper) value to consider overbought. Default = 70
|
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* -s/--short: Short period of EMA to use. Default = 30
|
||||
* -p/--periods: Periods to use for RSI calculation. Default = 14.
|
||||
@@ -55,5 +54,5 @@ usage: rsi [-u] [-l] [-p] [--spy] [--no_bench] [--no_short]
|
||||
* [--no_bench]: Flag that removes the benchmark comparison of just buy and hold the stock.
|
||||
* [--no_short]: Flag that removes the shortable option. Will just be long positions when short > long EMAs.
|
||||
|
||||
|
||||
|
||||
|
||||
<img width="980" alt="rsi2" src="https://user-images.githubusercontent.com/25267873/116769579-1c512280-aa35-11eb-928b-aa4e8b90c1ec.png">
|
||||
|
||||
@@ -1,134 +1,183 @@
|
||||
# ECON
|
||||
# ECONONMY
|
||||
|
||||
## FRED
|
||||
This menu aims to assess economy data, and the usage of the following commands along with an example will be exploited below.
|
||||
|
||||
https://fred.stlouisfed.org
|
||||
* [fred](#fred)
|
||||
* display customized FRED from https://fred.stlouisfed.org
|
||||
* [vixcls](#vixcls)
|
||||
* Volatility Index
|
||||
* [gdp](#gdp)
|
||||
* Gross Domestic Product
|
||||
* [unrate](#unrate)
|
||||
* Unemployment Rate
|
||||
* [dgs1](#dgs1)
|
||||
* 1-Year Treasury Constant Maturity Rate
|
||||
* [dgs5](#dgs5)
|
||||
* 5-Year Treasury Constant Maturity Rate
|
||||
* [dgs10](#dgs10)
|
||||
* 10-Year Treasury Constant Maturity Rate
|
||||
* [dgs30](#dgs30)
|
||||
* 30-Year Treasury Constant Maturity Rate
|
||||
* [mortgage30us](#mortgage30us)
|
||||
* 30-Year Fixed Rate Mortgage Average
|
||||
* [fedfunds](#fedfunds)
|
||||
* Effective Federal Funds Rate
|
||||
* [aaa](#aaa)
|
||||
* Moody's Seasoned AAA Corporate Bond Yield
|
||||
* [dexcaus](#dexcaus)
|
||||
* Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)
|
||||
|
||||
The purpose of fred is to have the ability to look at economic data. This page offers 2 options:
|
||||
|
||||
* [predefined](#gdp)
|
||||
* Get predefined data
|
||||
* [cust](#cust)
|
||||
* Get custom fred data
|
||||
|
||||
The current predefined options are
|
||||
* GDP
|
||||
* 1,5,10,30 Year Treasury Rates
|
||||
* 30 Year Mortgage Rates
|
||||
* Unemployment Rate
|
||||
* Effective Federal Funds rate
|
||||
* Moody's AAA Corporate Bond
|
||||
* CAD to USD Conversion.
|
||||
|
||||
## predefined <a name="predefined"></a>
|
||||
## fred <a name="fred"></a>
|
||||
```text
|
||||
usage: selected [-n N_TO_GET] [-s START_DATE] [--noplot] [--hidedata]
|
||||
usage: fred [-i SERIES_ID] [-s START_DATE] [-t]
|
||||
```
|
||||
Gets predefined data. Arguments
|
||||
* selected : Key from the predefined list.
|
||||
* -s : Start Date. Format YYYY-mm-dd. First point to get. Defaults to Jan 1 2019
|
||||
* --noplot : Flag to hide plot
|
||||
* --hidedata : Flag to suppress printing output. Useful for data released daily/weekly.
|
||||
|
||||
To plot the 30-Year Mortgage rates since 2018-01-01 suppressing the output.
|
||||
````
|
||||
mort30 -s 2018-01-01 --hidedata
|
||||
````
|
||||
Display customized Federal Reserve Economic Data (FRED) from https://fred.stlouisfed.org.
|
||||
|
||||
|
||||
|
||||
To show all GDP data since 1/1/2016, with no plot.
|
||||
````
|
||||
gdp -s 2016-01-01 --noplot
|
||||
````
|
||||
Output:
|
||||
````
|
||||
GDP
|
||||
Date
|
||||
2016-01-01 18470.156
|
||||
2016-04-01 18656.207
|
||||
2016-07-01 18821.359
|
||||
2016-10-01 19032.580
|
||||
2017-01-01 19237.435
|
||||
2017-04-01 19379.232
|
||||
2017-07-01 19617.288
|
||||
2017-10-01 19937.963
|
||||
2018-01-01 20242.215
|
||||
2018-04-01 20552.653
|
||||
2018-07-01 20742.723
|
||||
2018-10-01 20909.853
|
||||
2019-01-01 21115.309
|
||||
2019-04-01 21329.877
|
||||
2019-07-01 21540.325
|
||||
2019-10-01 21747.394
|
||||
2020-01-01 21561.139
|
||||
2020-04-01 19520.114
|
||||
2020-07-01 21170.252
|
||||
2020-10-01 21487.896
|
||||
````
|
||||
* -i : FRED Series ID from https://fred.stlouisfed.org.
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
## cust <a name="cust"></a>
|
||||
## vixcls <a name="vixcls"></a>
|
||||
```text
|
||||
usage: vixcls [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
The fred database has many different datasets freely available. They each have their own custom SERIES_ID which can be obtained through the website.
|
||||
Volatility Index
|
||||
|
||||
````
|
||||
usage: cust [-i --id] [-s START_DATE] [--noplot] [--hidedata]
|
||||
````
|
||||
* -i/--id : Series ID for FRED data. Required argument
|
||||
* -s : Start Date. Format YYYY-mm-dd. First point to get. Defaults to Jan 1 2015.
|
||||
* --noplot : Flag to suppress output plot.
|
||||
* --hidedata : Flag to suppress data output
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
An example of custom data could be the USD/EURO exchange rate.
|
||||
According to https://fred.stlouisfed.org/series/DEXUSEU , the series ID is DEXUSEU. So to plot this from the start of February 2021 to now (3/17)
|
||||
|
||||
|
||||
````
|
||||
cust --id DEXUSEU -s 2021-02-01
|
||||
````
|
||||
This will plot and display:
|
||||
|
||||
|
||||
````
|
||||
DEXUSEU
|
||||
Date
|
||||
2021-02-01 1.2070
|
||||
2021-02-02 1.2020
|
||||
2021-02-03 1.2025
|
||||
2021-02-04 1.1974
|
||||
2021-02-05 1.2035
|
||||
2021-02-08 1.2045
|
||||
2021-02-09 1.2106
|
||||
2021-02-10 1.2132
|
||||
2021-02-11 1.2127
|
||||
2021-02-12 1.2126
|
||||
2021-02-15 NaN
|
||||
2021-02-16 1.2107
|
||||
2021-02-17 1.2042
|
||||
2021-02-18 1.2078
|
||||
2021-02-19 1.2136
|
||||
2021-02-22 1.2155
|
||||
2021-02-23 1.2142
|
||||
2021-02-24 1.2143
|
||||
2021-02-25 1.2229
|
||||
2021-02-26 1.2093
|
||||
2021-03-01 1.2054
|
||||
2021-03-02 1.2079
|
||||
2021-03-03 1.2073
|
||||
2021-03-04 1.2045
|
||||
2021-03-05 1.1914
|
||||
2021-03-08 1.1849
|
||||
2021-03-09 1.1885
|
||||
2021-03-10 1.1900
|
||||
2021-03-11 1.1978
|
||||
````
|
||||
## gdp <a name="gdp"></a>
|
||||
```text
|
||||
usage: gdp [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
Note the NaN on 2-15, which corresponds to President's Day.
|
||||
Gross Domestic Product
|
||||
|
||||
## VIX
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
This command pulls historical VIX data from yfinance module.
|
||||
````
|
||||
usage: view [-s START_DATE]
|
||||
````
|
||||
* -s Start date to plot historical VIX data
|
||||
|
||||
|
||||
|
||||
## unrate <a name="unrate"></a>
|
||||
```text
|
||||
usage: unrate [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
Unemployment Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## dgs1 <a name="dgs1"></a>
|
||||
```text
|
||||
usage: dgs1 [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
1-year Treasury Constant Maturity Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## dgs5 <a name="dgs5"></a>
|
||||
```text
|
||||
usage: dgs5 [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
5-year Treasury Constant Maturity Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## dgs10 <a name="dgs10"></a>
|
||||
```text
|
||||
usage: dgs10 [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
10-year Treasury Constant Maturity Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## dgs30 <a name="dgs30"></a>
|
||||
```text
|
||||
usage: dgs30 [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
30-year Treasury Constant Maturity Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## mortgage30us <a name="mortgage30us"></a>
|
||||
```text
|
||||
usage: mortgage30us [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
30-year Fixed Rate Mortgage Average
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## fedfunds <a name="fedfunds"></a>
|
||||
```text
|
||||
usage: fedfunds [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
Effective Federal Funds Rate
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## aaa <a name="aaa"></a>
|
||||
```text
|
||||
usage: aaa [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
Moody's Seasoned AAA Corporate Bond Yield
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
|
||||
## dexcaus <a name="dexcaus"></a>
|
||||
```text
|
||||
usage: dexcaus [-s START_DATE] [-t]
|
||||
```
|
||||
|
||||
Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)
|
||||
|
||||
* -s : Starting date (YYYY-MM-DD) of data. Default: 2019-01-01.
|
||||
* -t : Only output text data.
|
||||
|
||||
|
||||
|
||||
@@ -8,7 +8,7 @@ from prompt_toolkit.completion import NestedCompleter
|
||||
from gamestonk_terminal import feature_flags as gtff
|
||||
from gamestonk_terminal.helper_funcs import get_flair
|
||||
from gamestonk_terminal.menu import session
|
||||
from gamestonk_terminal.econ import fred_view, vix_view
|
||||
from gamestonk_terminal.econ import fred_view
|
||||
|
||||
|
||||
class EconController:
|
||||
@@ -19,24 +19,24 @@ class EconController:
|
||||
"help",
|
||||
"q",
|
||||
"quit",
|
||||
"fred",
|
||||
"vixcls",
|
||||
"gdp",
|
||||
"unemp",
|
||||
"t1",
|
||||
"t5",
|
||||
"t10",
|
||||
"t30",
|
||||
"mort30",
|
||||
"fedrate",
|
||||
"moodAAA",
|
||||
"usdcad",
|
||||
"cust",
|
||||
"view",
|
||||
"unrate",
|
||||
"dgs1",
|
||||
"dgs5",
|
||||
"dgs10",
|
||||
"dgs30",
|
||||
"mortgage30us",
|
||||
"fedfunds",
|
||||
"aaa",
|
||||
"dexcaus",
|
||||
]
|
||||
|
||||
def __init__(self):
|
||||
"""Constructor"""
|
||||
self.disc_parser = argparse.ArgumentParser(add_help=False, prog="econ")
|
||||
self.disc_parser.add_argument(
|
||||
self.econ_parser = argparse.ArgumentParser(add_help=False, prog="econ")
|
||||
self.econ_parser.add_argument(
|
||||
"cmd",
|
||||
choices=self.CHOICES,
|
||||
)
|
||||
@@ -50,21 +50,20 @@ class EconController:
|
||||
print(" q quit this menu, and shows back to main menu")
|
||||
print(" quit quit to abandon program")
|
||||
print(" ")
|
||||
print("VIX:")
|
||||
print(" view plot VIX")
|
||||
print(" ")
|
||||
print("FRED:")
|
||||
print(" gdp GDP")
|
||||
print(" unemp Unemployment Rate")
|
||||
print(" t1 1-Year Treasury Constant Maturity Rate")
|
||||
print(" t5 5-Year Treasury Constant Maturity Rate")
|
||||
print(" t10 10-Year Treasury Constant Maturity Rate")
|
||||
print(" t30 30-Year Treasury Constant Maturity Rate")
|
||||
print(" mort30 30-Year Fixed Rate Mortgage Average")
|
||||
print(" fedrate Effective Federal Funds Rate")
|
||||
print(" moodAAA Moody's Seasoned AAA Corporate Bond Yield")
|
||||
print(" usdcad Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)")
|
||||
print(" cust User Specified FRED Data - Please Specify --id")
|
||||
print(
|
||||
" fred display customized FRED data from https://fred.stlouisfed.org"
|
||||
)
|
||||
print(" vixcls Volatility Index")
|
||||
print(" gdp Gross Domestic Product")
|
||||
print(" unrate Unemployment Rate")
|
||||
print(" dgs1 1-year Treasury Constant Maturity Rate")
|
||||
print(" dgs5 5-year Treasury Constant Maturity Rate")
|
||||
print(" dgs10 10-year Treasury Constant Maturity Rate")
|
||||
print(" dgs30 30-year Treasury Constant Maturity Rate")
|
||||
print(" mortgage30us 30-year Fixed Rate Mortgage Average")
|
||||
print(" fedfunds Effective Federal Funds Rate")
|
||||
print(" aaa Moody's Seasoned AAA Corporate Bond Yield")
|
||||
print(" dexcaus Canada / U.S. Foreign Exchange Rate (CAD per 1 USD)")
|
||||
print("")
|
||||
return
|
||||
|
||||
@@ -78,23 +77,7 @@ class EconController:
|
||||
True - quit the program
|
||||
None - continue in the menu
|
||||
"""
|
||||
(known_args, other_args) = self.disc_parser.parse_known_args(an_input.split())
|
||||
|
||||
fred_data_list = [
|
||||
"gdp",
|
||||
"unemp",
|
||||
"t1",
|
||||
"t5",
|
||||
"t10",
|
||||
"t30",
|
||||
"mort30",
|
||||
"fedrate",
|
||||
"moodAAA",
|
||||
"usdcad",
|
||||
]
|
||||
|
||||
if known_args.cmd in fred_data_list:
|
||||
return getattr(self, "call_fred_api")(other_args, known_args.cmd)
|
||||
(known_args, other_args) = self.econ_parser.parse_known_args(an_input.split())
|
||||
|
||||
return getattr(
|
||||
self, "call_" + known_args.cmd, lambda: "Command not recognized!"
|
||||
@@ -112,17 +95,53 @@ class EconController:
|
||||
"""Process Quit command - quit the program"""
|
||||
return True
|
||||
|
||||
def call_fred_api(self, other_args: List[str], cmd: str):
|
||||
"""Process Fred Data call"""
|
||||
fred_view.get_fred_data(other_args, cmd)
|
||||
def call_fred(self, other_args: List[str]):
|
||||
"""Process fred command"""
|
||||
fred_view.display_fred(other_args, "")
|
||||
|
||||
def call_view(self, other_args: List[str]):
|
||||
"""Process view for VIX Data."""
|
||||
vix_view.view_vix(other_args)
|
||||
def call_vixcls(self, other_args: List[str]):
|
||||
"""Process vixcls command"""
|
||||
fred_view.display_fred(other_args, "VIXCLS")
|
||||
|
||||
def call_cust(self, other_args: List[str]):
|
||||
"""Process cust call"""
|
||||
fred_view.custom_data(other_args)
|
||||
def call_gdp(self, other_args: List[str]):
|
||||
"""Process gdp command"""
|
||||
fred_view.display_fred(other_args, "GDP")
|
||||
|
||||
def call_unrate(self, other_args: List[str]):
|
||||
"""Process unrate command"""
|
||||
fred_view.display_fred(other_args, "UNRATE")
|
||||
|
||||
def call_dgs1(self, other_args: List[str]):
|
||||
"""Process dgs1 command"""
|
||||
fred_view.display_fred(other_args, "DGS1")
|
||||
|
||||
def call_dgs5(self, other_args: List[str]):
|
||||
"""Process dgs5 command"""
|
||||
fred_view.display_fred(other_args, "DGS5")
|
||||
|
||||
def call_dgs10(self, other_args: List[str]):
|
||||
"""Process dgs10 command"""
|
||||
fred_view.display_fred(other_args, "DGS10")
|
||||
|
||||
def call_dgs30(self, other_args: List[str]):
|
||||
"""Process dgs30 command"""
|
||||
fred_view.display_fred(other_args, "DGS30")
|
||||
|
||||
def call_mortgage30us(self, other_args: List[str]):
|
||||
"""Process mortgage30us command"""
|
||||
fred_view.display_fred(other_args, "MORTGAGE30US")
|
||||
|
||||
def call_fedfunds(self, other_args: List[str]):
|
||||
"""Process fedfunds command"""
|
||||
fred_view.display_fred(other_args, "FEDFUNDS")
|
||||
|
||||
def call_aaa(self, other_args: List[str]):
|
||||
"""Process aaa command"""
|
||||
fred_view.display_fred(other_args, "AAA")
|
||||
|
||||
def call_dexcaus(self, other_args: List[str]):
|
||||
"""Process dexcaus command"""
|
||||
fred_view.display_fred(other_args, "DEXCAUS")
|
||||
|
||||
|
||||
def menu():
|
||||
|
||||
@@ -18,138 +18,50 @@ from gamestonk_terminal import feature_flags as gtff
|
||||
|
||||
register_matplotlib_converters()
|
||||
|
||||
api_map = {
|
||||
"gdp": "GDP",
|
||||
"t10": "DGS10",
|
||||
"t1": "DGS1",
|
||||
"t5": "DGS5",
|
||||
"t30": "DGS30",
|
||||
"mort30": "MORTGAGE30US",
|
||||
"fedrate": "FEDFUNDS",
|
||||
"moodAAA": "AAA",
|
||||
"usdcad": "DEXCAUS",
|
||||
"unemp": "UNRATE",
|
||||
}
|
||||
|
||||
title_map = {
|
||||
"gdp": "Gross Domestic Product",
|
||||
"t10": "10-Year Treasury Constant Maturity Rate",
|
||||
"t1": "1-Year Treasury Constant Maturity Rate",
|
||||
"t5": "5-Year Treasury Constant Maturity Rate",
|
||||
"t30": "30-Year Treasury Constant Maturity Rate",
|
||||
"mort30": "30-Year Mortgage Rate",
|
||||
"fedrate": "Effective Federal Funds Rate",
|
||||
"moodAAA": "Moody's Seasoned AAA Corporate Bond Yield",
|
||||
"usdcad": "Canada / U.S. Foreign Exchange Rate",
|
||||
"unemp": "Unemployment Rate",
|
||||
fred_series_description = {
|
||||
"VIXCLS": "Volatility Index",
|
||||
"GDP": "Gross Domestic Product",
|
||||
"UNRATE": "Unemployment Rate",
|
||||
"DGS1": "1-Year Treasury Constant Maturity Rate",
|
||||
"DGS5": "5-Year Treasury Constant Maturity Rate",
|
||||
"DGS10": "10-Year Treasury Constant Maturity Rate",
|
||||
"DGS30": "30-Year Treasury Constant Maturity Rate",
|
||||
"MORTGAGE30US": "30-Year Mortgage Rate",
|
||||
"FEDFUNDS": "Effective Federal Funds Rate",
|
||||
"AAA": "Moody's Seasoned AAA Corporate Bond Yield",
|
||||
"DEXCAUS": "Canada / U.S. Foreign Exchange Rate",
|
||||
}
|
||||
|
||||
|
||||
def get_fred_data(other_args: List[str], choice: str):
|
||||
"""Displace Fred data and graph for a selected chosen data series
|
||||
def display_fred(other_args: List[str], choice: str):
|
||||
"""Display customized Federal Reserve Economic Data (FRED) from https://fred.stlouisfed.org.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
other_args : List[str]
|
||||
argparse other args
|
||||
choice : str
|
||||
Fred data series: "gdp","unemp", "t1", "t5", "t10", "t30", "mort30",
|
||||
"fedrate", "moodAAA", "usdcad",
|
||||
Fred data series: "VIXCLS", "GDP", "DGS1", "DGS5", "DGS10", "DGS30", "MORTGAGE30US", "FEDFUNDS",
|
||||
"AAA", "DEXCAUS", "UNRATE",
|
||||
"""
|
||||
|
||||
fred = Fred(api_key=API_FRED_KEY)
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
prog="Custom",
|
||||
prog=choice if choice else "fred",
|
||||
description="""
|
||||
Custom Data
|
||||
Display customized Federal Reserve Economic Data (FRED) from https://fred.stlouisfed.org.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
dest="start_date",
|
||||
type=valid_date,
|
||||
default="2019-01-01",
|
||||
required=False,
|
||||
help="Starting date (YYYY-MM-DD) of data",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--noplot",
|
||||
action="store_false",
|
||||
default=True,
|
||||
dest="noplot",
|
||||
help="Suppress output plot",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--hidedata",
|
||||
action="store_false",
|
||||
default=True,
|
||||
dest="hidedata",
|
||||
help="Suppress data display plot",
|
||||
)
|
||||
|
||||
try:
|
||||
ns_parser = parse_known_args_and_warn(parser, other_args)
|
||||
|
||||
if not ns_parser:
|
||||
return
|
||||
|
||||
string_to_get = api_map[choice]
|
||||
title = title_map[choice]
|
||||
data = fred.get_series(string_to_get, ns_parser.start_date)
|
||||
|
||||
data = pd.DataFrame(data, columns=[f"{string_to_get}"])
|
||||
data.index.name = "Date"
|
||||
if ns_parser.hidedata:
|
||||
print(data)
|
||||
print("")
|
||||
if ns_parser.noplot:
|
||||
plt.figure(figsize=plot_autoscale(), dpi=PLOT_DPI)
|
||||
plt.plot(data.index, data.iloc[:, 0], "-ok")
|
||||
plt.xlabel("Time")
|
||||
plt.xlim(data.index[0], data.index[-1])
|
||||
plt.ylabel(f"{string_to_get}")
|
||||
plt.grid(b=True, which="major", color="#666666", linestyle="-")
|
||||
plt.minorticks_on()
|
||||
plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
|
||||
plt.title(title)
|
||||
plt.show()
|
||||
print("")
|
||||
|
||||
if gtff.USE_ION:
|
||||
plt.ion()
|
||||
|
||||
except SystemExit:
|
||||
print("")
|
||||
except Exception as e:
|
||||
print(e)
|
||||
print("")
|
||||
return
|
||||
|
||||
|
||||
def custom_data(other_args: List[str]):
|
||||
"""Displace Fred data for a custom series request
|
||||
|
||||
Parameters
|
||||
----------
|
||||
other_args : List[str]
|
||||
argparse other args
|
||||
"""
|
||||
fred = Fred(api_key=API_FRED_KEY)
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
prog="Custom",
|
||||
description="""
|
||||
Custom Data
|
||||
""",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-i", "--id", dest="series_id", required=True, type=str, help="FRED Series ID"
|
||||
"-i",
|
||||
"--id",
|
||||
dest="series_id",
|
||||
required=bool(choice),
|
||||
type=str,
|
||||
default=choice.upper(),
|
||||
help="FRED Series ID from https://fred.stlouisfed.org",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
@@ -157,58 +69,55 @@ def custom_data(other_args: List[str]):
|
||||
dest="start_date",
|
||||
type=valid_date,
|
||||
default="2019-01-01",
|
||||
required=False,
|
||||
help="Starting date (YYYY-MM-DD) of data",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--noplot",
|
||||
action="store_false",
|
||||
default=True,
|
||||
dest="noplot",
|
||||
help="Suppress output plot",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--hidedata",
|
||||
action="store_false",
|
||||
default=True,
|
||||
dest="hidedata",
|
||||
help="Suppress data display plot",
|
||||
"-t",
|
||||
"--text",
|
||||
action="store_true",
|
||||
dest="text",
|
||||
help="Only output text data",
|
||||
)
|
||||
|
||||
try:
|
||||
if not choice:
|
||||
if other_args:
|
||||
if "-" not in other_args[0]:
|
||||
other_args.insert(0, "-i")
|
||||
ns_parser = parse_known_args_and_warn(parser, other_args)
|
||||
|
||||
if not ns_parser:
|
||||
return
|
||||
|
||||
data = fred.get_series(ns_parser.series_id, ns_parser.start_date)
|
||||
fred = Fred(api_key=API_FRED_KEY)
|
||||
d_data = fred.get_series(ns_parser.series_id, ns_parser.start_date)
|
||||
|
||||
data = pd.DataFrame(data, columns=[f"{ns_parser.series_id}"])
|
||||
data.index.name = "Date"
|
||||
if ns_parser.hidedata:
|
||||
print(data)
|
||||
print("")
|
||||
if ns_parser.noplot:
|
||||
df_fred = pd.DataFrame(d_data, columns=[f"{ns_parser.series_id}"])
|
||||
df_fred.index.name = "Date"
|
||||
|
||||
if ns_parser.text:
|
||||
print(df_fred.to_string())
|
||||
|
||||
else:
|
||||
plt.figure(figsize=plot_autoscale(), dpi=PLOT_DPI)
|
||||
plt.plot(data.index, data.iloc[:, 0], "-ok")
|
||||
plt.plot(df_fred.index, df_fred.iloc[:, 0])
|
||||
plt.xlabel("Time")
|
||||
plt.xlim(data.index[0], data.index[-1])
|
||||
plt.ylabel(f"{ns_parser.series_id}")
|
||||
plt.xlim(df_fred.index[0], df_fred.index[-1])
|
||||
plt.ylabel(f"{ns_parser.series_id.upper()}")
|
||||
plt.grid(b=True, which="major", color="#666666", linestyle="-")
|
||||
plt.minorticks_on()
|
||||
plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
|
||||
plt.title(f"FRED {ns_parser.series_id} Series")
|
||||
plt.show()
|
||||
print("")
|
||||
|
||||
if choice:
|
||||
plt.title(fred_series_description[ns_parser.series_id])
|
||||
if gtff.USE_ION:
|
||||
plt.ion()
|
||||
plt.show()
|
||||
|
||||
print("")
|
||||
|
||||
except SystemExit:
|
||||
print("")
|
||||
except Exception as e:
|
||||
print(e)
|
||||
print("")
|
||||
print(e, "\n")
|
||||
return
|
||||
|
||||
@@ -1,63 +0,0 @@
|
||||
""" VIX View """
|
||||
__docformat__ = "numpy"
|
||||
import argparse
|
||||
|
||||
from typing import List
|
||||
from pandas.plotting import register_matplotlib_converters
|
||||
import matplotlib.pyplot as plt
|
||||
import yfinance as yf
|
||||
from gamestonk_terminal.helper_funcs import (
|
||||
parse_known_args_and_warn,
|
||||
valid_date,
|
||||
plot_autoscale,
|
||||
)
|
||||
from gamestonk_terminal.config_plot import PLOT_DPI
|
||||
from gamestonk_terminal import feature_flags as gtff
|
||||
|
||||
register_matplotlib_converters()
|
||||
|
||||
|
||||
def view_vix(other_args: List[str]):
|
||||
"""
|
||||
Plot vix from a starting date using yfinance
|
||||
Parameters
|
||||
----------
|
||||
other_args: List[str]
|
||||
List of argparse arguments
|
||||
Returns
|
||||
-------
|
||||
Plots VIX historical data
|
||||
"""
|
||||
parser = argparse.ArgumentParser(prog="vix_plot", add_help=False)
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--start",
|
||||
type=valid_date,
|
||||
default="2020-01-01",
|
||||
dest="start_date",
|
||||
help="The starting date (format YYYY-MM-DD) of the plot",
|
||||
)
|
||||
|
||||
try:
|
||||
ns_parser = parse_known_args_and_warn(parser, other_args)
|
||||
if not ns_parser:
|
||||
return
|
||||
|
||||
vix = yf.download("^VIX", start=ns_parser.start_date, progress=False)
|
||||
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
|
||||
vix.plot(y="Adj Close", ax=ax)
|
||||
plt.ylabel("VIX")
|
||||
plt.grid(b=True, which="major", color="#666666", linestyle="-")
|
||||
plt.minorticks_on()
|
||||
plt.grid(b=True, which="minor", color="#999999", linestyle="-", alpha=0.2)
|
||||
plt.title("Historical VIX Data")
|
||||
|
||||
print("")
|
||||
|
||||
if gtff.USE_ION:
|
||||
plt.ion()
|
||||
plt.show()
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
print("")
|
||||
@@ -1,5 +1,6 @@
|
||||
import argparse
|
||||
from sys import stdout
|
||||
import random
|
||||
from datetime import datetime, timedelta
|
||||
import matplotlib.pyplot as plt
|
||||
import pandas as pd
|
||||
@@ -45,57 +46,58 @@ def print_help(s_ticker, s_start, s_interval, b_is_market_open):
|
||||
print(f"\n{s_intraday} Stock: {s_ticker}")
|
||||
else:
|
||||
print("\nStock: ?")
|
||||
print(f"Market {('CLOSED', 'OPEN')[b_is_market_open]}.")
|
||||
print(f"Market {('CLOSED', 'OPEN')[b_is_market_open]}.\n")
|
||||
|
||||
print("\nMenus:")
|
||||
print(
|
||||
" disc discover trending stocks, \t e.g. map, sectors, high short interest"
|
||||
" > disc discover trending stocks, \t e.g. map, sectors, high short interest"
|
||||
)
|
||||
print(
|
||||
" scr screener stocks, \t\t e.g. overview/performance, using preset filters"
|
||||
" > scr screener stocks, \t\t e.g. overview/performance, using preset filters"
|
||||
)
|
||||
print(" mill papermill menu, \t\t\t menu to generate notebook reports")
|
||||
print(" econ economic data, \t\t\t from: FRED, VIX")
|
||||
print(" pa portfolio analysis, \t\t supports: robinhood, alpaca, ally ")
|
||||
print(" crypto cryptocurrencies, \t\t uses coingecko api")
|
||||
print(" > mill papermill menu, \t\t menu to generate notebook reports")
|
||||
print(" > econ economic data, \t\t from: FRED, VIX")
|
||||
print(
|
||||
" po portfolio optimization, \t\t optimal portfolio weights from pyportfolioopt"
|
||||
" > pa portfolio analysis, \t\t supports: robinhood, alpaca, ally "
|
||||
)
|
||||
print(" fx forex menu, \t\t\t forex support through Oanda")
|
||||
print(" > crypto cryptocurrencies, \t\t uses coingecko api")
|
||||
print(
|
||||
" > po portfolio optimization, \t optimal portfolio weights from pyportfolioopt"
|
||||
)
|
||||
print(" > fx forex menu, \t\t\t forex support through Oanda")
|
||||
|
||||
if s_ticker:
|
||||
print(
|
||||
" ba behavioural analysis, \t from: reddit, stocktwits, twitter, google"
|
||||
" > ba behavioural analysis, \t from: reddit, stocktwits, twitter, google"
|
||||
)
|
||||
print(
|
||||
" res research web page, \t e.g.: macroaxis, yahoo finance, fool"
|
||||
" > res research web page, \t e.g.: macroaxis, yahoo finance, fool"
|
||||
)
|
||||
print(
|
||||
" ca comparison analysis, \t e.g.: historical, correlation, financials"
|
||||
" > ca comparison analysis, \t e.g.: historical, correlation, financials"
|
||||
)
|
||||
print(
|
||||
" fa fundamental analysis, \t e.g.: income, balance, cash, earnings"
|
||||
" > fa fundamental analysis, \t e.g.: income, balance, cash, earnings"
|
||||
)
|
||||
print(
|
||||
" ta technical analysis, \t e.g.: ema, macd, rsi, adx, bbands, obv"
|
||||
" > ta technical analysis, \t e.g.: ema, macd, rsi, adx, bbands, obv"
|
||||
)
|
||||
print(
|
||||
" bt strategy backtester, \t e.g.: simple ema, ema cross, rsi strategies"
|
||||
" > bt strategy backtester, \t e.g.: simple ema, ema cross, rsi strategies"
|
||||
)
|
||||
print(
|
||||
" dd in-depth due-diligence, \t e.g.: news, analyst, shorts, insider, sec"
|
||||
" > dd in-depth due-diligence, \t e.g.: news, analyst, shorts, insider, sec"
|
||||
)
|
||||
print(
|
||||
" eda exploratory data analysis,\t e.g.: decompose, cusum, residuals analysis"
|
||||
" > eda exploratory data analysis,\t e.g.: decompose, cusum, residuals analysis"
|
||||
)
|
||||
print(
|
||||
" pred prediction techniques, \t e.g.: regression, arima, rnn, lstm, prophet"
|
||||
" > pred prediction techniques, \t e.g.: regression, arima, rnn, lstm, prophet"
|
||||
)
|
||||
print(
|
||||
" ra residuals analysis, \t e.g.: model fit, qqplot, hypothesis test"
|
||||
" > ra residuals analysis, \t e.g.: model fit, qqplot, hypothesis test"
|
||||
)
|
||||
print(
|
||||
" op options info, \t e.g.: volume and open interest"
|
||||
" > op options info, \t e.g.: volume and open interest"
|
||||
)
|
||||
print("")
|
||||
|
||||
@@ -181,41 +183,40 @@ def load(l_args, s_ticker, s_start, s_interval, df_stock):
|
||||
if not ns_parser:
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
except SystemExit:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
# Update values:
|
||||
s_ticker = ns_parser.s_ticker.upper()
|
||||
s_start = ns_parser.s_start_date
|
||||
s_interval = str(ns_parser.n_interval) + "min"
|
||||
|
||||
try:
|
||||
# Daily
|
||||
if s_interval == "1440min":
|
||||
if ns_parser.n_interval == 1440:
|
||||
|
||||
# Alpha Vantage Source
|
||||
if ns_parser.source == "av":
|
||||
ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
|
||||
# pylint: disable=unbalanced-tuple-unpacking
|
||||
df_stock, _ = ts.get_daily_adjusted(
|
||||
df_stock_candidate, _ = ts.get_daily_adjusted(
|
||||
symbol=ns_parser.s_ticker, outputsize="full"
|
||||
)
|
||||
# pylint: disable=no-member
|
||||
df_stock.sort_index(ascending=True, inplace=True)
|
||||
|
||||
# Slice dataframe from the starting date YYYY-MM-DD selected
|
||||
df_stock = df_stock[ns_parser.s_start_date :]
|
||||
|
||||
elif ns_parser.source == "yf":
|
||||
df_stock = yf.download(
|
||||
ns_parser.s_ticker, start=ns_parser.s_start_date, progress=False
|
||||
)
|
||||
# Check that a stock was successfully retrieved
|
||||
if df_stock.empty:
|
||||
# Check that loading a stock was not successful
|
||||
if df_stock_candidate.empty:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
df_stock = df_stock.rename(
|
||||
# pylint: disable=no-member
|
||||
df_stock_candidate.sort_index(ascending=True, inplace=True)
|
||||
|
||||
# Slice dataframe from the starting date YYYY-MM-DD selected
|
||||
df_stock_candidate = df_stock_candidate[ns_parser.s_start_date :]
|
||||
|
||||
# Yahoo Finance Source
|
||||
elif ns_parser.source == "yf":
|
||||
df_stock_candidate = yf.download(
|
||||
ns_parser.s_ticker, start=ns_parser.s_start_date, progress=False
|
||||
)
|
||||
|
||||
# Check that loading a stock was not successful
|
||||
if df_stock_candidate.empty:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
df_stock_candidate = df_stock_candidate.rename(
|
||||
columns={
|
||||
"Open": "1. open",
|
||||
"High": "2. high",
|
||||
@@ -225,41 +226,57 @@ def load(l_args, s_ticker, s_start, s_interval, df_stock):
|
||||
"Volume": "6. volume",
|
||||
}
|
||||
)
|
||||
df_stock.index.name = "date"
|
||||
df_stock_candidate.index.name = "date"
|
||||
|
||||
if df_stock.index[0] > s_start:
|
||||
s_start = df_stock.index[0]
|
||||
# Check if start time from dataframe is more recent than specified
|
||||
if df_stock_candidate.index[0] > pd.to_datetime(ns_parser.s_start_date):
|
||||
s_start = df_stock_candidate.index[0]
|
||||
else:
|
||||
s_start = ns_parser.s_start_date
|
||||
|
||||
# Intraday
|
||||
else:
|
||||
|
||||
# Alpha Vantage Source
|
||||
if ns_parser.source == "av":
|
||||
ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
|
||||
# pylint: disable=unbalanced-tuple-unpacking
|
||||
df_stock, _ = ts.get_intraday(
|
||||
symbol=ns_parser.s_ticker, outputsize="full", interval=s_interval
|
||||
df_stock_candidate, _ = ts.get_intraday(
|
||||
symbol=ns_parser.s_ticker,
|
||||
outputsize="full",
|
||||
interval=str(ns_parser.n_interval) + "min",
|
||||
)
|
||||
|
||||
# Check that loading a stock was not successful
|
||||
if df_stock_candidate.empty:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
# pylint: disable=no-member
|
||||
df_stock.sort_index(ascending=True, inplace=True)
|
||||
df_stock_candidate.sort_index(ascending=True, inplace=True)
|
||||
|
||||
# Slice dataframe from the starting date YYYY-MM-DD selected
|
||||
df_stock = df_stock[ns_parser.s_start_date :]
|
||||
df_stock_candidate = df_stock_candidate[ns_parser.s_start_date :]
|
||||
|
||||
# Check if start time from dataframe is more recent than specified
|
||||
if df_stock_candidate.index[0] > pd.to_datetime(ns_parser.s_start_date):
|
||||
s_start = df_stock_candidate.index[0]
|
||||
else:
|
||||
s_start = ns_parser.s_start_date
|
||||
|
||||
# Yahoo Finance Source
|
||||
elif ns_parser.source == "yf":
|
||||
s_int = s_interval[:-2]
|
||||
s_int = str(ns_parser.n_interval) + "m"
|
||||
|
||||
d_granularity = {"1m": 6, "5m": 59, "15m": 59, "30m": 59, "60m": 729}
|
||||
|
||||
s_start_dt = datetime.utcnow() - timedelta(days=d_granularity[s_int])
|
||||
s_date_start = s_start_dt.strftime("%Y-%m-%d")
|
||||
|
||||
s_start = pytz.utc.localize(s_start_dt)
|
||||
|
||||
if s_start_dt > ns_parser.s_start_date:
|
||||
print(
|
||||
f"Using Yahoo Finance with granularity {s_int} the starting date is set to: {s_date_start}\n"
|
||||
)
|
||||
# Using Yahoo Finance with granularity {s_int} the starting date is set to: {s_date_start}
|
||||
|
||||
df_stock = yf.download(
|
||||
df_stock_candidate = yf.download(
|
||||
ns_parser.s_ticker,
|
||||
start=s_date_start,
|
||||
progress=False,
|
||||
@@ -268,7 +285,7 @@ def load(l_args, s_ticker, s_start, s_interval, df_stock):
|
||||
)
|
||||
|
||||
else:
|
||||
df_stock = yf.download(
|
||||
df_stock_candidate = yf.download(
|
||||
ns_parser.s_ticker,
|
||||
start=ns_parser.s_start_date.strftime("%Y-%m-%d"),
|
||||
progress=False,
|
||||
@@ -276,12 +293,17 @@ def load(l_args, s_ticker, s_start, s_interval, df_stock):
|
||||
prepost=ns_parser.b_prepost,
|
||||
)
|
||||
|
||||
# Check that a stock was successfully retrieved
|
||||
if df_stock.empty:
|
||||
# Check that loading a stock was not successful
|
||||
if df_stock_candidate.empty:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
df_stock = df_stock.rename(
|
||||
if s_start_dt > ns_parser.s_start_date:
|
||||
s_start = pytz.utc.localize(s_start_dt)
|
||||
else:
|
||||
s_start = ns_parser.s_start_date
|
||||
|
||||
df_stock_candidate = df_stock_candidate.rename(
|
||||
columns={
|
||||
"Open": "1. open",
|
||||
"High": "2. high",
|
||||
@@ -291,26 +313,29 @@ def load(l_args, s_ticker, s_start, s_interval, df_stock):
|
||||
"Volume": "6. volume",
|
||||
}
|
||||
)
|
||||
df_stock.index.name = "date"
|
||||
df_stock_candidate.index.name = "date"
|
||||
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
s_intraday = (f"Intraday {s_interval}", "Daily")[ns_parser.n_interval == 1440]
|
||||
|
||||
print(
|
||||
f"Loading {s_intraday} {ns_parser.s_ticker.upper()} stock "
|
||||
f"with starting period {s_start.strftime('%Y-%m-%d')} for analysis.\n"
|
||||
)
|
||||
|
||||
return [
|
||||
ns_parser.s_ticker.upper(),
|
||||
s_start,
|
||||
str(ns_parser.n_interval) + "min",
|
||||
df_stock_candidate,
|
||||
]
|
||||
|
||||
except Exception as e:
|
||||
print(e)
|
||||
print("Either the ticker or the API_KEY are invalids. Try again!\n")
|
||||
print(e, "\nEither the ticker or the API_KEY are invalids. Try again!\n")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
s_intraday = (f"Intraday {s_interval}", "Daily")[s_interval == "1440min"]
|
||||
|
||||
if s_start:
|
||||
print(
|
||||
f"Loading {s_intraday} {s_ticker} stock with starting period {s_start.strftime('%Y-%m-%d')} for analysis."
|
||||
)
|
||||
else:
|
||||
print(f"Loading {s_intraday} {s_ticker} stock for analysis.")
|
||||
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
except SystemExit:
|
||||
print("")
|
||||
return [s_ticker, s_start, s_interval, df_stock]
|
||||
|
||||
|
||||
def candle(s_ticker: str, s_start: str):
|
||||
@@ -513,3 +538,32 @@ def export(l_args, df_stock):
|
||||
df_stock.to_clipboard()
|
||||
|
||||
print("")
|
||||
|
||||
|
||||
def print_goodbye():
|
||||
goodbye_msg = [
|
||||
"An informed ape, is a strong ape. ",
|
||||
"Remember that stonks only go up. ",
|
||||
"Diamond hands. ",
|
||||
"Apes together strong. ",
|
||||
"This is our way. ",
|
||||
"Keep the spacesuit ape, we haven't reached the moon yet. ",
|
||||
"I am not a cat. I'm an ape. ",
|
||||
"We like the terminal. ",
|
||||
]
|
||||
|
||||
goodbye_hr = datetime.now().hour
|
||||
if goodbye_hr < 5:
|
||||
goodbye_msg_time = "Go get some rest soldier!"
|
||||
elif goodbye_hr < 11:
|
||||
goodbye_msg_time = "Rise and shine baby!"
|
||||
elif goodbye_hr < 17:
|
||||
goodbye_msg_time = "Enjoy your day!"
|
||||
elif goodbye_hr < 23:
|
||||
goodbye_msg_time = "Tomorrow's another day!"
|
||||
else:
|
||||
goodbye_msg_time = "Go get some rest soldier!"
|
||||
|
||||
print(
|
||||
goodbye_msg[random.randint(0, len(goodbye_msg) - 1)] + goodbye_msg_time + "\n"
|
||||
)
|
||||
|
||||
BIN
images/gst_logo.png
Normal file
BIN
images/gst_logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 142 KiB |
18
terminal.py
18
terminal.py
@@ -18,7 +18,15 @@ from gamestonk_terminal.discovery import disc_controller
|
||||
from gamestonk_terminal.due_diligence import dd_controller
|
||||
from gamestonk_terminal.fundamental_analysis import fa_controller
|
||||
from gamestonk_terminal.helper_funcs import b_is_stock_market_open, get_flair
|
||||
from gamestonk_terminal.main_helper import clear, export, load, print_help, view, candle
|
||||
from gamestonk_terminal.main_helper import (
|
||||
clear,
|
||||
export,
|
||||
load,
|
||||
print_help,
|
||||
view,
|
||||
candle,
|
||||
print_goodbye,
|
||||
)
|
||||
from gamestonk_terminal.menu import session
|
||||
from gamestonk_terminal.papermill import papermill_controller as mill
|
||||
from gamestonk_terminal.behavioural_analysis import ba_controller
|
||||
@@ -47,7 +55,7 @@ def main():
|
||||
os.system("")
|
||||
|
||||
s_ticker = ""
|
||||
s_start = ""
|
||||
s_start = "2015-01-01"
|
||||
df_stock = pd.DataFrame()
|
||||
s_interval = "1440min"
|
||||
|
||||
@@ -102,7 +110,7 @@ def main():
|
||||
print(e, "\n")
|
||||
|
||||
# Print first welcome message and help
|
||||
print("\nWelcome to Gamestonk Terminal 🚀\n")
|
||||
print("\nWelcome to Gamestonk Terminal Ape.\n")
|
||||
should_print_help = True
|
||||
parsed_stdin = False
|
||||
|
||||
@@ -375,9 +383,7 @@ def main():
|
||||
if not main_cmd:
|
||||
should_print_help = True
|
||||
|
||||
print(
|
||||
"Hope you enjoyed the terminal. Remember that stonks only go up. Diamond hands.\n"
|
||||
)
|
||||
print_goodbye()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -5,7 +5,7 @@ from io import StringIO
|
||||
import pandas as pd
|
||||
|
||||
# pylint: disable=unused-import
|
||||
from gamestonk_terminal.econ.fred_view import get_fred_data # noqa: F401
|
||||
from gamestonk_terminal.econ.fred_view import display_fred # noqa: F401
|
||||
|
||||
fred_data_mock = """
|
||||
,GDP
|
||||
@@ -17,14 +17,15 @@ fred_data_mock = """
|
||||
2020-04-01,19520.114
|
||||
2020-07-01,21170.252
|
||||
2020-10-01,21494.731
|
||||
2021-01-01,22048.894
|
||||
"""
|
||||
|
||||
|
||||
class TestFredFredView(unittest.TestCase):
|
||||
@mock.patch("gamestonk_terminal.econ.fred_view.Fred.get_series")
|
||||
def test_get_fred_data(self, mock_get_series):
|
||||
def test_display_fred(self, mock_get_series):
|
||||
fred_data = pd.read_csv(StringIO(fred_data_mock), header=0, index_col=0)
|
||||
|
||||
mock_get_series.return_value = fred_data
|
||||
|
||||
get_fred_data(["--noplot"], "gdp")
|
||||
display_fred(["-t"], "gdp")
|
||||
|
||||
Reference in New Issue
Block a user