Adding stock price comparison via -c flag (#1745)

* adding stock price comparison via -c flag

* updated as per comments

* trying to fix tests

Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
This commit is contained in:
Avani Sharma
2022-05-02 05:19:41 -04:00
committed by GitHub
parent 2c0f89eab4
commit b73e09119d
4 changed files with 85 additions and 14 deletions

View File

@@ -15,7 +15,7 @@ import openbb_terminal.config_plot as cfg_plot
from openbb_terminal.config_terminal import theme
from openbb_terminal.common.behavioural_analysis import twitter_model
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import export_data, plot_autoscale
from openbb_terminal.helper_funcs import export_data, plot_autoscale, get_closing_price
from openbb_terminal.rich_config import console
logger = logging.getLogger(__name__)
@@ -74,6 +74,7 @@ def display_sentiment(
ticker: str,
n_tweets: int,
n_days_past: int,
compare: bool,
export: str = "",
external_axes: Optional[List[plt.Axes]] = None,
):
@@ -87,6 +88,8 @@ def display_sentiment(
Number of tweets to get per hour
n_days_past: int
Number of days to extract tweets for
compare: bool
Show corresponding change in stock price
export: str
Format to export tweet dataframe
"""
@@ -152,18 +155,34 @@ def display_sentiment(
df_tweets = df_tweets.sort_values(by="date")
df_tweets["cumulative_compound"] = df_tweets["sentiment"].cumsum()
# This plot has 2 axis
if external_axes is None:
_, axes = plt.subplots(
2, 1, sharex=True, figsize=plot_autoscale(), dpi=cfg_plot.PLOT_DPI
)
ax1, ax2 = axes
ax1, ax2, ax3 = None, None, None
if compare:
# This plot has 3 axis
if external_axes is None:
_, axes = plt.subplots(
3, 1, sharex=False, figsize=plot_autoscale(), dpi=cfg_plot.PLOT_DPI
)
ax1, ax2, ax3 = axes
else:
if len(external_axes) != 3:
logger.error("Expected list of three axis item.")
console.print("[red]Expected list of three axis item./n[/red]")
return
(ax1, ax2, ax3) = external_axes
else:
if len(external_axes) != 2:
logger.error("Expected list of one axis item.")
console.print("[red]Expected list of one axis item./n[/red]")
return
(ax1, ax2) = external_axes
# This plot has 2 axis
if external_axes is None:
_, axes = plt.subplots(
2, 1, sharex=True, figsize=plot_autoscale(), dpi=cfg_plot.PLOT_DPI
)
ax1, ax2 = axes
else:
if len(external_axes) != 2:
logger.error("Expected list of one axis item.")
console.print("[red]Expected list of one axis item./n[/red]")
return
(ax1, ax2) = external_axes
ax1.plot(
pd.to_datetime(df_tweets["created_at"]),
@@ -199,6 +218,21 @@ def display_sentiment(
ax2.set_ylabel("VADER Polarity Scores")
theme.style_primary_axis(ax2)
if compare:
# get stock end price for each corresponding day if compare == True
closing_price_df = get_closing_price(ticker, n_days_past)
if ax3:
ax3.plot(
closing_price_df["Date"],
closing_price_df["Close"],
label=pd.to_datetime(closing_price_df["Date"])
.iloc[0]
.strftime("%Y-%m-%d"),
)
ax3.set_ylabel("Stock Price")
theme.style_primary_axis(ax3)
if external_axes is None:
theme.visualize_output()

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@@ -5,7 +5,7 @@ import argparse
import logging
from pathlib import Path
from typing import List, Tuple, Union
from datetime import datetime, timedelta
from datetime import datetime, timedelta, date as d
import os
import random
import re
@@ -24,6 +24,7 @@ from pandas.plotting import register_matplotlib_converters
import pandas.io.formats.format
import requests
from screeninfo import get_monitors
import yfinance as yf
from openbb_terminal.rich_config import console
from openbb_terminal import feature_flags as obbff
@@ -1398,6 +1399,33 @@ def handle_error_code(requests_obj, error_code_map):
console.print(error_msg)
def get_closing_price(ticker, days):
"""Get historical close price for n days in past for market asset
Parameters
----------
ticker : str
Ticker to get data for
days : datetime
No. of days in past
Returns
----------
data : pd.DataFrame
Historic close prices for ticker for given days
"""
tick = yf.Ticker(ticker)
df = tick.history(
start=d.today() - timedelta(days=days),
interval="1d",
)["Close"]
df = df.to_frame().reset_index()
df = df.rename(columns={0: "Close"})
df.index.name = "index"
return df
def camel_case_split(string: str) -> str:
"""Converts a camel case string to separate words

View File

@@ -817,6 +817,13 @@ class BehaviouralAnalysisController(StockBaseController):
default=6,
help="number of days in the past to extract tweets.",
)
parser.add_argument(
"-c",
"--compare",
action="store_true",
dest="compare",
help="show corresponding change in stock price",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-l")
ns_parser = parse_known_args_and_warn(
@@ -828,6 +835,7 @@ class BehaviouralAnalysisController(StockBaseController):
ticker=self.ticker,
n_tweets=ns_parser.limit,
n_days_past=ns_parser.n_days_past,
compare=ns_parser.compare,
export=ns_parser.export,
)
else:

View File

@@ -325,13 +325,14 @@ def test_call_func_expect_queue(expected_queue, queue, func):
),
(
"call_sentiment",
["--limit=20", "--days=2", "--export=csv"],
["--limit=20", "--days=2", "--compare", "--export=csv"],
"twitter_view.display_sentiment",
[],
dict(
ticker="MOCK_TICKER",
n_tweets=20,
n_days_past=2,
compare=True,
export="csv",
),
),