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Merge pull request #315 from DidierRLopes/sectors-industry-country

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Add sector/industry/country valuation/performance/spectrum
This commit is contained in:
DidierRLopes
2021-04-06 18:40:44 +01:00
committed by GitHub
parent 357e94c772 fe64ec0403
commit 98f70fec02
6 changed files with 267 additions and 59 deletions
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3
ROADMAP.md
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@@ -32,9 +32,10 @@
## Discovery
* [x] Top Losers (@didier) - [PR #171](https://github.com/DidierRLopes/GamestonkTerminal/pull/171)
* [x] ARK orders (@aia) - [PR #140](https://github.com/DidierRLopes/GamestonkTerminal/pull/140)
* [x] Analyse sectors/industry performance, overview and valuation from Finviz (@didier) - [PR #315](https://github.com/DidierRLopes/GamestonkTerminal/pull/315)
**NEXT**
* [ ] Analyse sectors/industry performance, overview and valuation from Finviz (@didier)
---

59
gamestonk_terminal/discovery/README.md
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@@ -4,8 +4,8 @@ This menu aims to discover new stocks, and the usage of the following commands a
* [map](#map)
* S&P500 index stocks map [Finviz]
* [sectors](#sectors)
* show sectors performance [Alpha Vantage]
* [rtp_sectors](#rtp_sectors)
* real-time performance sectors [Alpha Vantage]
* [gainers](#gainers)
* show latest top gainers [Yahoo Finance]
* [losers](#losers)
@@ -26,6 +26,13 @@ This menu aims to discover new stocks, and the usage of the following commands a
* great website for SPACs research [SpacHero]
* [uwhales](#uwhales)
* good website for SPACs research [UnusualWhales]
* [valuation](#valuation)
* valuation of sectors, industry, country [Finviz]
* [performance](#performance)
* performance of sectors, industry, country [Finviz]
* [spectrum](#spectrum)
* spectrum of sectors, industry, country [Finviz]
## map <a name="map"></a>
@@ -40,10 +47,10 @@ Performance index stocks map categorized by sectors and industries. Size represe
![map_filter](https://user-images.githubusercontent.com/25267873/108570986-032a4800-7307-11eb-8c8d-f62409c11e06.png)
## sectors <a name="sectors"></a>
## rtp_sectors <a name="rtp_sectors"></a>
```shell
usage: sectors
usage: rtp_sectors
```
Real-time and historical sector performances calculated from S&P500 incumbents. Pops plot in terminal. [Source: Alpha Vantage]
@@ -167,3 +174,47 @@ usage: uwhales
Good website for SPACs research. [Source: www.unusualwhales.com]
<img width="1247" alt="Captura de ecrã 2021-02-20, às 11 38 54" src="https://user-images.githubusercontent.com/25267873/108594176-47056780-7370-11eb-8f2d-5972c8634974.png">
## valuation <a name="valuation"></a>
```shell
usage: valuation [-g Sector,Industry,Industry (Basic Materials),Industry (Communication Services),
Industry (Consumer Cyclical),Industry (Consumer Defensive),Industry (Energy),Industry (Financial),
Industry (Healthcare),Industry (Industrials),Industry (Real Estate),Industry (Technology),
Industry (Utilities),Country (U.S. listed stocks only),Capitalization]
```
valuation of sectors, industry, country. [Source: Finviz]
* -g : Data group (sector, industry or country). Default: Sector.
<img width="1020" alt="sec_val" src="https://user-images.githubusercontent.com/25267873/113647490-d2b62780-9682-11eb-8346-089bd0499ba9.png">
## performance <a name="performance"></a>
```shell
usage: performance [-g Sector,Industry,Industry (Basic Materials),Industry (Communication Services),
Industry (Consumer Cyclical),Industry (Consumer Defensive),Industry (Energy),Industry (Financial),
Industry (Healthcare),Industry (Industrials),Industry (Real Estate),Industry (Technology),
Industry (Utilities),Country (U.S. listed stocks only),Capitalization]
```
performance of sectors, industry, country. [Source: Finviz]
* -g : Data group (sector, industry or country). Default: Sector.
<img width="1034" alt="ind_per" src="https://user-images.githubusercontent.com/25267873/113647513-dba6f900-9682-11eb-9b43-c1055af85536.png">
## spectrum <a name="spectrum"></a>
```
usage: spectrum [-g Sector,Industry,Industry (Basic Materials),Industry (Communication Services),
Industry (Consumer Cyclical),Industry (Consumer Defensive),Industry (Energy),Industry (Financial),
Industry (Healthcare),Industry (Industrials),Industry (Real Estate),Industry (Technology),
Industry (Utilities),Country (U.S. listed stocks only),Capitalization]
```
Spectrum of sectors, industry, country. [Source: Finviz]
* -g : Data group (sector, industry or country). Default: Sector.
![cntry_spec](https://user-images.githubusercontent.com/25267873/113639067-48fd5e80-9670-11eb-95cf-0931845ddd12.png)

67
gamestonk_terminal/discovery/disc_controller.py
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@@ -2,9 +2,9 @@
__docformat__ = "numpy"
import argparse
import os
from typing import List
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
@@ -31,7 +31,7 @@ class DiscoveryController:
"q",
"quit",
"map",
"sectors",
"rtp_sectors",
"gainers",
"losers",
"orders",
@@ -42,10 +42,14 @@ class DiscoveryController:
"simply_wallst",
"spachero",
"uwhales",
"valuation",
"performance",
"spectrum",
]
def __init__(self):
"""Constructor"""
self.spectrum_img_to_delete = ""
self.disc_parser = argparse.ArgumentParser(add_help=False, prog="disc")
self.disc_parser.add_argument(
"cmd",
@@ -57,26 +61,31 @@ class DiscoveryController:
""" Print help """
print("\nDiscovery Mode:")
print(" help show this discovery menu again")
print(" q quit this menu, and shows back to main menu")
print(" quit quit to abandon program")
print(" help show this discovery menu again")
print(" q quit this menu, and shows back to main menu")
print(" quit quit to abandon program")
print("")
print(" map S&P500 index stocks map [Finviz]")
print(" sectors show sectors performance [Alpha Vantage]")
print(" gainers show latest top gainers [Yahoo Finance]")
print(" losers show latest top losers [Yahoo Finance]")
print(" orders orders by Fidelity Customers [Fidelity]")
print(" ark_orders orders by ARK Investment Management LLC")
print(" up_earnings upcoming earnings release dates [Seeking Alpha]")
print(" map S&P500 index stocks map [Finviz]")
print(" rtp_sectors real-time performance sectors [Alpha Vantage]")
print(" gainers show latest top gainers [Yahoo Finance]")
print(" losers show latest top losers [Yahoo Finance]")
print(" orders orders by Fidelity Customers [Fidelity]")
print(
" high_short show top high short interest stocks of over 20% ratio [www.highshortinterest.com]"
" ark_orders orders by ARK Investment Management LLC [www.cathiesark.com]"
)
print(" up_earnings upcoming earnings release dates [Seeking Alpha]")
print(
" high_short show top high short interest stocks of over 20% ratio [www.highshortinterest.com]"
)
print(
" low_float show low float stocks under 10M shares float [www.lowfloat.com]"
" low_float show low float stocks under 10M shares float [www.lowfloat.com]"
)
print(" simply_wallst Simply Wall St. research data [Simply Wall St.]")
print(" spachero great website for SPACs research [SpacHero]")
print(" uwhales good website for SPACs research [UnusualWhales]")
print(" simply_wallst Simply Wall St. research data [Simply Wall St.]")
print(" spachero great website for SPACs research [SpacHero]")
print(" uwhales good website for SPACs research [UnusualWhales]")
print(" valuation valuation of sectors, industry, country [Finviz]")
print(" performance performance of sectors, industry, country [Finviz]")
print(" spectrum spectrum of sectors, industry, country [Finviz]")
print("")
def switch(self, an_input: str):
@@ -91,6 +100,12 @@ class DiscoveryController:
"""
(known_args, other_args) = self.disc_parser.parse_known_args(an_input.split())
# Due to Finviz implementation of Spectrum, we delete the generated spectrum figure
# after saving it and displaying it to the user
if self.spectrum_img_to_delete:
os.remove(self.spectrum_img_to_delete + ".jpg")
self.spectrum_img_to_delete = ""
return getattr(
self, "call_" + known_args.cmd, lambda: "Command not recognized!"
)(other_args)
@@ -111,8 +126,8 @@ class DiscoveryController:
"""Process map command"""
finviz_view.map_sp500_view(other_args)
def call_sectors(self, other_args: List[str]):
"""Process sectors command"""
def call_rtp_sectors(self, other_args: List[str]):
"""Process rtp_sectors command"""
alpha_vantage_view.sectors_view(other_args)
def call_gainers(self, other_args: List[str]):
@@ -155,6 +170,20 @@ class DiscoveryController:
"""Process uwhales command"""
unusual_whales_view.unusual_whales_view(other_args)
def call_valuation(self, other_args: List[str]):
"""Process valuation command"""
finviz_view.view_group_data(other_args, "valuation")
def call_performance(self, other_args: List[str]):
"""Process performance command"""
finviz_view.view_group_data(other_args, "performance")
def call_spectrum(self, other_args: List[str]):
"""Process spectrum command"""
self.spectrum_img_to_delete = finviz_view.view_group_data(
other_args, "spectrum"
)
def menu():
"""Discovery Menu"""

126
gamestonk_terminal/discovery/finviz_view.py
View File

@@ -5,6 +5,26 @@ import argparse
from typing import List
import webbrowser
from gamestonk_terminal.helper_funcs import parse_known_args_and_warn
from finvizfinance.group import valuation, performance, spectrum
from PIL import Image
l_GROUPS = [
"Sector",
"Industry",
"Industry (Basic Materials)",
"Industry (Communication Services)",
"Industry (Consumer Cyclical)",
"Industry (Consumer Defensive)",
"Industry (Energy)",
"Industry (Financial)",
"Industry (Healthcare)",
"Industry (Industrials)",
"Industry (Real Estate)",
"Industry (Technology)",
"Industry (Utilities)",
"Country (U.S. listed stocks only)",
"Capitalization",
]
def map_sp500_view(other_args: List[str]):
@@ -58,3 +78,109 @@ def map_sp500_view(other_args: List[str]):
f"https://finviz.com/map.ashx?t={d_type[ns_parser.s_type]}&st={d_period[ns_parser.s_period]}"
)
print("")
def get_valuation_performance_data(group: str, data_type: str):
"""Get group (sectors, industry or country) valuation/performance data
Parameters
----------
other_args : List[str]
argparse other args
group : str
select group to see data between sectors, industry or country
data_type : str
select data type to see data between valuation or performance
Returns
----------
pd.DataFrame
dataframe with valuation/performance data
"""
if data_type == "valuation":
df_group = valuation.Valuation().ScreenerView(group=group)
elif data_type == "performance":
df_group = performance.Performance().ScreenerView(group=group)
return df_group
def get_spectrum_data(group: str):
"""Get group (sectors, industry or country) valuation/performance data
Parameters
----------
other_args : List[str]
argparse other args
group : str
select group to see data between sectors, industry or country
data_type : str
select data type to see data between valuation or performance
"""
spectrum.Spectrum().ScreenerView(group=group)
def view_group_data(other_args: List[str], data_type: str):
"""View group (sectors, industry or country) valuation/performance/spectrum data
Parameters
----------
other_args : List[str]
argparse other args
data_type : str
select data type to see data between valuation, performance and spectrum
"""
parser = argparse.ArgumentParser(
add_help=False,
prog="group_data",
description="""
View group (sectors, industry or country) valuation/performance/spectrum data. [Source: Finviz]
""",
)
parser.add_argument(
"-g",
"--group",
nargs="+",
type=str,
default="Sector",
dest="group",
help="Data group (sector, industry or country)",
choices=l_GROUPS,
)
try:
if other_args:
if "-" not in other_args[0]:
other_args.insert(0, "-g")
other_args = [other_args[0], " ".join(other_args[1:])]
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
if isinstance(ns_parser.group, List):
ns_parser.group = ns_parser.group[0]
if data_type == "valuation" or data_type == "performance":
df_group = get_valuation_performance_data(ns_parser.group, data_type)
print(df_group.to_string())
elif data_type == "spectrum":
get_spectrum_data(ns_parser.group)
img = Image.open(ns_parser.group + ".jpg")
img.show()
print("")
return ns_parser.group
else:
print(
"Invalid data type. Choose between valuation, performance and spectrum."
)
print("")
return ""
except SystemExit:
print("")

70
poetry.lock generated
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@@ -1631,7 +1631,7 @@ python-versions = "*"
[[package]]
name = "pillow"
version = "8.1.2"
version = "8.2.0"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
@@ -2837,7 +2837,7 @@ prediction = ["fbprophet", "tensorflow", "pmdarima", "transformers", "flair", "t
[metadata]
lock-version = "1.1"
python-versions = "^3.6.8"
content-hash = "d07d8303b9772ad67003224f0a4372bf91bf1685c7e0393eb4cc58757065324f"
content-hash = "144771641ef753b1e937c0db16496c409905f6f692ef81a03d9ba716d9207bb0"
[metadata.files]
absl-py = [
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1
pyproject.toml
View File

@@ -53,6 +53,7 @@ pycoingecko = "^1.4.0"
detecta = "^0.0.5"
tradingview-ta = "^3.2.3"
finvizfinance = "^0.9.3"
Pillow = "^8.2.0"
[tool.poetry.dev-dependencies]
pytest = "^6.2.2"