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Add TA and test coverage for the Forex context (#1532)
* Add technical analysis to forex menu * Remove "stock" and "$" from the common ta charts * Add tests for forex context * Update forex custom reset functions * Remove -t arg (ticker) insertion into other_args in forex controller * Remove excluded command from forex ta help string * Update test data Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
This commit is contained in:
Theodore Aptekarev
committed by
GitHub
GitHub
parent
f761db8f98
commit
ede6ec8b1a
@@ -77,7 +77,7 @@ def display_adx(
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ax1.plot(plot_data.index, plot_data["Close"].values)
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ax1.set_title(f"Average Directional Movement Index (ADX) on {s_ticker}")
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ax1.set_xlim(plot_data.index[0], plot_data.index[-1])
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ax1.set_ylabel("Share Price ($)")
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ax1.set_ylabel("Price")
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theme.style_primary_axis(
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ax1,
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data_index=plot_data.index.to_list(),
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@@ -167,7 +167,7 @@ def display_aroon(
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ax1.plot(plot_data.index, plot_data["Adj Close"].values)
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ax1.set_title(f"Aroon on {s_ticker}")
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ax1.set_xlim(plot_data.index[0], plot_data.index[-1])
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ax1.set_ylabel("Share Price ($)")
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ax1.set_ylabel("Price")
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theme.style_primary_axis(
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ax1,
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data_index=plot_data.index.to_list(),
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@@ -8,6 +8,7 @@ from gamestonk_terminal.helper_classes import ModelsNamespace as _models
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# Context menus
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from .av_view import display_candle as candle
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from .av_view import display_quote as quote
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from .technical_analysis import ta_api as ta
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from .oanda import oanda_api as oanda
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# Models
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@@ -27,7 +27,7 @@ class ForexController(BaseController):
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"""Forex Controller class."""
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CHOICES_COMMANDS = ["to", "from", "load", "quote", "candle", "resources"]
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CHOICES_MENUS = ["oanda"]
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CHOICES_MENUS = ["ta", "oanda"]
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PATH = "/forex/"
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FILE_PATH = os.path.join(os.path.dirname(__file__), "README.md")
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@@ -60,12 +60,23 @@ class ForexController(BaseController):
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quote get last quote
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load get historical data
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candle show candle plot for loaded data[/cmds]
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[menu]
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> ta technical analysis for loaded coin, e.g.: ema, macd, rsi, adx, bbands, obv
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[/menu]
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{has_symbols_end}
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[info]Forex brokerages:[/info][menu]
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> oanda Oanda menu[/menu][/cmds]
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"""
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console.print(text=help_text, menu="Forex")
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def custom_reset(self):
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"""Class specific component of reset command"""
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set_from_symbol = f"from {self.from_symbol}" if self.from_symbol else ""
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set_to_symbol = f"to {self.to_symbol}" if self.to_symbol else ""
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if set_from_symbol and set_to_symbol:
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return ["forex", set_from_symbol, set_to_symbol]
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return []
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@log_start_end(log=logger)
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def call_to(self, other_args: List[str]):
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"""Process 'to' command."""
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@@ -164,8 +175,6 @@ class ForexController(BaseController):
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help="Start date of data.",
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dest="start_date",
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)
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if other_args and "-t" not in other_args and "-h" not in other_args:
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other_args.insert(0, "-t")
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ns_parser = parse_known_args_and_warn(parser, other_args)
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if ns_parser:
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if self.to_symbol and self.from_symbol:
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@@ -176,6 +185,7 @@ class ForexController(BaseController):
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interval=ns_parser.interval,
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start_date=ns_parser.start_date.strftime("%Y-%m-%d"),
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)
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self.data.index.name = "date"
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console.print(
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f"Loaded historic data from {self.from_symbol} to {self.to_symbol}"
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)
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@@ -237,6 +247,27 @@ class ForexController(BaseController):
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self.queue = self.load_class(OandaController, self.queue)
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@log_start_end(log=logger)
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def call_ta(self, _):
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"""Process ta command"""
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from gamestonk_terminal.forex.technical_analysis.ta_controller import (
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TechnicalAnalysisController,
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)
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# TODO: Play with this to get correct usage
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if self.to_symbol and self.from_symbol and not self.data.empty:
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self.queue = self.load_class(
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TechnicalAnalysisController,
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ticker=f"{self.from_symbol}/{self.to_symbol}",
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data=self.data,
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start=self.data.index[0],
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interval="",
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queue=self.queue,
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)
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else:
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console.print("No currency pair data is loaded. Use 'load' to load data.\n")
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# HELP WANTED!
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# TODO: Add news and reddit commands back
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# behavioural analysis and exploratory data analysis would be useful in the
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43
gamestonk_terminal/forex/technical_analysis/ta_api.py
Normal file
43
gamestonk_terminal/forex/technical_analysis/ta_api.py
Normal file
@@ -0,0 +1,43 @@
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"""TA context API."""
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import os
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from gamestonk_terminal.helper_classes import ModelsNamespace as _models
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# flake8: noqa
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# pylint: disable=unused-import
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# Menu commands
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from gamestonk_terminal.common.technical_analysis.overlap_view import view_ma as ma
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from gamestonk_terminal.common.technical_analysis.momentum_view import (
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display_cci as cci,
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)
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from gamestonk_terminal.common.technical_analysis.momentum_view import (
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display_macd as macd,
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)
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from gamestonk_terminal.common.technical_analysis.momentum_view import (
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display_rsi as rsi,
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)
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from gamestonk_terminal.common.technical_analysis.momentum_view import (
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display_stoch as stoch,
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)
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from gamestonk_terminal.common.technical_analysis.momentum_view import (
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display_fisher as fisher,
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)
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from gamestonk_terminal.common.technical_analysis.momentum_view import display_cg as cg
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from gamestonk_terminal.common.technical_analysis.trend_indicators_view import (
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display_adx as adx,
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)
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from gamestonk_terminal.common.technical_analysis.trend_indicators_view import (
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display_aroon as aroon,
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)
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from gamestonk_terminal.common.technical_analysis.volatility_view import (
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display_bbands as bbands,
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)
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from gamestonk_terminal.common.technical_analysis.volatility_view import (
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display_donchian as donchian,
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)
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from gamestonk_terminal.common.technical_analysis.custom_indicators_view import (
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fibonacci_retracement as fib,
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)
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# Models
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models = _models(os.path.abspath(os.path.dirname(__file__)))
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927
gamestonk_terminal/forex/technical_analysis/ta_controller.py
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927
gamestonk_terminal/forex/technical_analysis/ta_controller.py
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@@ -0,0 +1,927 @@
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"""Crypto Technical Analysis Controller Module"""
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__docformat__ = "numpy"
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# pylint:disable=too-many-lines
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import argparse
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import logging
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from datetime import datetime
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from typing import List
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import pandas as pd
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from prompt_toolkit.completion import NestedCompleter
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from gamestonk_terminal import feature_flags as gtff
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from gamestonk_terminal.common.technical_analysis import (
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custom_indicators_view,
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momentum_view,
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overlap_view,
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trend_indicators_view,
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volatility_view,
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volume_view,
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)
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from gamestonk_terminal.decorators import log_start_end
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from gamestonk_terminal.helper_funcs import (
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EXPORT_BOTH_RAW_DATA_AND_FIGURES,
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check_positive,
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check_positive_list,
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parse_known_args_and_warn,
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valid_date,
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)
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from gamestonk_terminal.menu import session
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from gamestonk_terminal.parent_classes import StockBaseController
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from gamestonk_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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class TechnicalAnalysisController(StockBaseController):
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"""Technical Analysis Controller class"""
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CHOICES_COMMANDS = [
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"ema",
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"sma",
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"zlma",
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"cci",
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"macd",
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"rsi",
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"stoch",
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"fisher",
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"cg",
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"adx",
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"aroon",
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"bbands",
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"donchian",
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"fib",
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]
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PATH = "/forex/ta/"
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def __init__(
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self,
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ticker: str,
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start: datetime,
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interval: str,
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data: pd.DataFrame,
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queue: List[str] = None,
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):
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"""Constructor"""
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super().__init__(queue)
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self.ticker = ticker
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self.start = start
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self.interval = interval
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self.data = data
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self.data["Adj Close"] = data["Close"]
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if session and gtff.USE_PROMPT_TOOLKIT:
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choices: dict = {c: {} for c in self.controller_choices}
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self.completer = NestedCompleter.from_nested_dict(choices)
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def print_help(self):
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"""Print help"""
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currency_str = f" {self.ticker} (from {self.start.strftime('%Y-%m-%d')})"
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help_text = f"""[cmds]
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[param]Currency Pair Loaded: [/param]{currency_str}
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[info]Overlap:[/info]
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ema exponential moving average
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sma simple moving average
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zlma zero lag moving average
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[info]Momentum:[/info]
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cci commodity channel index
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macd moving average convergence/divergence
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rsi relative strength index
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stoch stochastic oscillator
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fisher fisher transform
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cg centre of gravity
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[info]Trend:[/info]
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adx average directional movement index
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aroon aroon indicator
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[info]Volatility:[/info]
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bbands bollinger bands
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donchian donchian channels
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[info]Custom:[/info]
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fib fibonacci retracement[/cmds]
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"""
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console.print(text=help_text, menu="Forex - Technical Analysis")
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def custom_reset(self):
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"""Class specific component of reset command"""
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if self.ticker:
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from_symbol, to_symbol = self.ticker.split("/")
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return ["forex", f"from {from_symbol}", f"to {to_symbol}", "load", "ta"]
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return []
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# TODO: Go through all models and make sure all needed columns are in dfs.
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# This todo is a duplicated in crypto/ta_controller
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@log_start_end(log=logger)
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def call_ema(self, other_args: List[str]):
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"""Process ema command"""
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parser = argparse.ArgumentParser(
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add_help=False,
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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prog="ema",
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description="""
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The Exponential Moving Average is a staple of technical
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analysis and is used in countless technical indicators. In a Simple Moving
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Average, each value in the time period carries equal weight, and values outside
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of the time period are not included in the average. However, the Exponential
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Moving Average is a cumulative calculation, including all data. Past values have
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a diminishing contribution to the average, while more recent values have a greater
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contribution. This method allows the moving average to be more responsive to changes
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in the data.
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""",
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)
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parser.add_argument(
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"-l",
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"--length",
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action="store",
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dest="n_length",
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type=check_positive_list,
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default=[20, 50],
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help="Window lengths. Multiple values indicated as comma separated values.",
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)
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parser.add_argument(
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"-o",
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"--offset",
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action="store",
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dest="n_offset",
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type=int,
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default=0,
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help="offset",
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)
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if other_args and "-" not in other_args[0][0]:
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other_args.insert(0, "-l")
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ns_parser = parse_known_args_and_warn(
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parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
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)
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if ns_parser:
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overlap_view.view_ma(
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ma_type="EMA",
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s_ticker=self.ticker,
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series=self.data["Close"],
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length=ns_parser.n_length,
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offset=ns_parser.n_offset,
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export=ns_parser.export,
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)
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@log_start_end(log=logger)
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def call_sma(self, other_args: List[str]):
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"""Process sma command"""
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parser = argparse.ArgumentParser(
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add_help=False,
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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prog="sma",
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description="""
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Moving Averages are used to smooth the data in an array to
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help eliminate noise and identify trends. The Simple Moving Average is literally
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the simplest form of a moving average. Each output value is the average of the
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previous n values. In a Simple Moving Average, each value in the time period carries
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equal weight, and values outside of the time period are not included in the average.
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This makes it less responsive to recent changes in the data, which can be useful for
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filtering out those changes.
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""",
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)
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parser.add_argument(
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"-l",
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"--length",
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action="store",
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dest="n_length",
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type=check_positive_list,
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default=[20, 50],
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help="Window lengths. Multiple values indicated as comma separated values. ",
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)
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parser.add_argument(
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"-o",
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"--offset",
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action="store",
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dest="n_offset",
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type=int,
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default=0,
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help="offset",
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)
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if other_args and "-" not in other_args[0][0]:
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other_args.insert(0, "-l")
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ns_parser = parse_known_args_and_warn(
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parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
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)
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if ns_parser:
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overlap_view.view_ma(
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ma_type="SMA",
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s_ticker=self.ticker,
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series=self.data["Close"],
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length=ns_parser.n_length,
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offset=ns_parser.n_offset,
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export=ns_parser.export,
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)
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@log_start_end(log=logger)
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def call_zlma(self, other_args: List[str]):
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"""Process zlma command"""
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parser = argparse.ArgumentParser(
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add_help=False,
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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prog="zlma",
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description="""
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The zero lag exponential moving average (ZLEMA) indicator
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was created by John Ehlers and Ric Way. The idea is do a
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regular exponential moving average (EMA) calculation but
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on a de-lagged data instead of doing it on the regular data.
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Data is de-lagged by removing the data from "lag" days ago
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thus removing (or attempting to) the cumulative effect of
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the moving average.
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""",
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)
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parser.add_argument(
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"-l",
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"--length",
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action="store",
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dest="n_length",
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type=check_positive_list,
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default=[20],
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help="Window lengths. Multiple values indicated as comma separated values.",
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)
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parser.add_argument(
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"-o",
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"--offset",
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action="store",
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dest="n_offset",
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type=int,
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default=0,
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help="offset",
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)
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if other_args and "-" not in other_args[0][0]:
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other_args.insert(0, "-l")
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ns_parser = parse_known_args_and_warn(
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parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
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)
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if ns_parser:
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overlap_view.view_ma(
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ma_type="ZLMA",
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s_ticker=self.ticker,
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series=self.data["Close"],
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length=ns_parser.n_length,
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offset=ns_parser.n_offset,
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export=ns_parser.export,
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)
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@log_start_end(log=logger)
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def call_cci(self, other_args: List[str]):
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"""Process cci command"""
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parser = argparse.ArgumentParser(
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add_help=False,
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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prog="cci",
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description="""
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The CCI is designed to detect beginning and ending market trends.
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The range of 100 to -100 is the normal trading range. CCI values outside of this
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range indicate overbought or oversold conditions. You can also look for price
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divergence in the CCI. If the price is making new highs, and the CCI is not,
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then a price correction is likely.
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""",
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)
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parser.add_argument(
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"-l",
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"--length",
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action="store",
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dest="n_length",
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type=check_positive,
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default=14,
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help="length",
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)
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parser.add_argument(
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"-s",
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"--scalar",
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action="store",
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dest="n_scalar",
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type=check_positive,
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default=0.015,
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help="scalar",
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)
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ns_parser = parse_known_args_and_warn(
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parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
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)
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if ns_parser:
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momentum_view.display_cci(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
length=ns_parser.n_length,
|
||||
scalar=ns_parser.n_scalar,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_macd(self, other_args: List[str]):
|
||||
"""Process macd command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="macd",
|
||||
description="""
|
||||
The Moving Average Convergence Divergence (MACD) is the difference
|
||||
between two Exponential Moving Averages. The Signal line is an Exponential Moving
|
||||
Average of the MACD. \n \n The MACD signals trend changes and indicates the start
|
||||
of new trend direction. High values indicate overbought conditions, low values
|
||||
indicate oversold conditions. Divergence with the price indicates an end to the
|
||||
current trend, especially if the MACD is at extreme high or low values. When the MACD
|
||||
line crosses above the signal line a buy signal is generated. When the MACD crosses
|
||||
below the signal line a sell signal is generated. To confirm the signal, the MACD
|
||||
should be above zero for a buy, and below zero for a sell.
|
||||
""",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-f",
|
||||
"--fast",
|
||||
action="store",
|
||||
dest="n_fast",
|
||||
type=check_positive,
|
||||
default=12,
|
||||
help="The short period.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--slow",
|
||||
action="store",
|
||||
dest="n_slow",
|
||||
type=check_positive,
|
||||
default=26,
|
||||
help="The long period.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--signal",
|
||||
action="store",
|
||||
dest="n_signal",
|
||||
type=check_positive,
|
||||
default=9,
|
||||
help="The signal period.",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
momentum_view.display_macd(
|
||||
s_ticker=self.ticker,
|
||||
series=self.data["Adj Close"],
|
||||
n_fast=ns_parser.n_fast,
|
||||
n_slow=ns_parser.n_slow,
|
||||
n_signal=ns_parser.n_signal,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_rsi(self, other_args: List[str]):
|
||||
"""Process rsi command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="rsi",
|
||||
description="""
|
||||
The Relative Strength Index (RSI) calculates a ratio of the
|
||||
recent upward price movements to the absolute price movement. The RSI ranges
|
||||
from 0 to 100. The RSI is interpreted as an overbought/oversold indicator when
|
||||
the value is over 70/below 30. You can also look for divergence with price. If
|
||||
the price is making new highs/lows, and the RSI is not, it indicates a reversal.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=14,
|
||||
help="length",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--scalar",
|
||||
action="store",
|
||||
dest="n_scalar",
|
||||
type=check_positive,
|
||||
default=100,
|
||||
help="scalar",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-d",
|
||||
"--drift",
|
||||
action="store",
|
||||
dest="n_drift",
|
||||
type=check_positive,
|
||||
default=1,
|
||||
help="drift",
|
||||
)
|
||||
|
||||
if other_args and "-" not in other_args[0][0]:
|
||||
other_args.insert(0, "-l")
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
momentum_view.display_rsi(
|
||||
s_ticker=self.ticker,
|
||||
series=self.data["Adj Close"],
|
||||
length=ns_parser.n_length,
|
||||
scalar=ns_parser.n_scalar,
|
||||
drift=ns_parser.n_drift,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_stoch(self, other_args: List[str]):
|
||||
"""Process stoch command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="stoch",
|
||||
description="""
|
||||
The Stochastic Oscillator measures where the close is in relation
|
||||
to the recent trading range. The values range from zero to 100. %D values over 75
|
||||
indicate an overbought condition; values under 25 indicate an oversold condition.
|
||||
When the Fast %D crosses above the Slow %D, it is a buy signal; when it crosses
|
||||
below, it is a sell signal. The Raw %K is generally considered too erratic to use
|
||||
for crossover signals.
|
||||
""",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-k",
|
||||
"--fastkperiod",
|
||||
action="store",
|
||||
dest="n_fastkperiod",
|
||||
type=check_positive,
|
||||
default=14,
|
||||
help="The time period of the fastk moving average",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-d",
|
||||
"--slowdperiod",
|
||||
action="store",
|
||||
dest="n_slowdperiod",
|
||||
type=check_positive,
|
||||
default=3,
|
||||
help="The time period of the slowd moving average",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--slowkperiod",
|
||||
action="store",
|
||||
dest="n_slowkperiod",
|
||||
type=check_positive,
|
||||
default=3,
|
||||
help="The time period of the slowk moving average",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
momentum_view.display_stoch(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
fastkperiod=ns_parser.n_fastkperiod,
|
||||
slowdperiod=ns_parser.n_slowdperiod,
|
||||
slowkperiod=ns_parser.n_slowkperiod,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_fisher(self, other_args: List[str]):
|
||||
"""Process fisher command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="fisher",
|
||||
description="""
|
||||
The Fisher Transform is a technical indicator created by John F. Ehlers
|
||||
that converts prices into a Gaussian normal distribution.1 The indicator
|
||||
highlights when prices have moved to an extreme, based on recent prices.
|
||||
This may help in spotting turning points in the price of an asset. It also
|
||||
helps show the trend and isolate the price waves within a trend.
|
||||
""",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=14,
|
||||
help="length",
|
||||
)
|
||||
|
||||
if other_args and "-" not in other_args[0][0]:
|
||||
other_args.insert(0, "-l")
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
momentum_view.display_fisher(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
length=ns_parser.n_length,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_cg(self, other_args: List[str]):
|
||||
"""Process cg command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="cg",
|
||||
description="""
|
||||
The Center of Gravity indicator, in short, is used to anticipate future price movements
|
||||
and to trade on price reversals as soon as they happen. However, just like other oscillators,
|
||||
the COG indicator returns the best results in range-bound markets and should be avoided when
|
||||
the price is trending. Traders who use it will be able to closely speculate the upcoming
|
||||
price change of the asset.
|
||||
""",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=14,
|
||||
help="length",
|
||||
)
|
||||
|
||||
if other_args and "-" not in other_args[0][0]:
|
||||
other_args.insert(0, "-l")
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
momentum_view.display_cg(
|
||||
s_ticker=self.ticker,
|
||||
series=self.data["Adj Close"],
|
||||
length=ns_parser.n_length,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_adx(self, other_args: List[str]):
|
||||
"""Process adx command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="adx",
|
||||
description="""
|
||||
The ADX is a Welles Wilder style moving average of the Directional Movement Index (DX).
|
||||
The values range from 0 to 100, but rarely get above 60. To interpret the ADX, consider
|
||||
a high number to be a strong trend, and a low number, a weak trend.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=14,
|
||||
help="length",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--scalar",
|
||||
action="store",
|
||||
dest="n_scalar",
|
||||
type=check_positive,
|
||||
default=100,
|
||||
help="scalar",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-d",
|
||||
"--drift",
|
||||
action="store",
|
||||
dest="n_drift",
|
||||
type=check_positive,
|
||||
default=1,
|
||||
help="drift",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
trend_indicators_view.display_adx(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
length=ns_parser.n_length,
|
||||
scalar=ns_parser.n_scalar,
|
||||
drift=ns_parser.n_drift,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_aroon(self, other_args: List[str]):
|
||||
"""Process aroon command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="aroon",
|
||||
description="""
|
||||
The word aroon is Sanskrit for "dawn's early light." The Aroon
|
||||
indicator attempts to show when a new trend is dawning. The indicator consists
|
||||
of two lines (Up and Down) that measure how long it has been since the highest
|
||||
high/lowest low has occurred within an n period range. \n \n When the Aroon Up is
|
||||
staying between 70 and 100 then it indicates an upward trend. When the Aroon Down
|
||||
is staying between 70 and 100 then it indicates an downward trend. A strong upward
|
||||
trend is indicated when the Aroon Up is above 70 while the Aroon Down is below 30.
|
||||
Likewise, a strong downward trend is indicated when the Aroon Down is above 70 while
|
||||
the Aroon Up is below 30. Also look for crossovers. When the Aroon Down crosses above
|
||||
the Aroon Up, it indicates a weakening of the upward trend (and vice versa).
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=25,
|
||||
help="length",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--scalar",
|
||||
action="store",
|
||||
dest="n_scalar",
|
||||
type=check_positive,
|
||||
default=100,
|
||||
help="scalar",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-o",
|
||||
"--offset",
|
||||
action="store",
|
||||
dest="n_offset",
|
||||
type=check_positive,
|
||||
default=0,
|
||||
help="offset",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
trend_indicators_view.display_aroon(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
length=ns_parser.n_length,
|
||||
scalar=ns_parser.n_scalar,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_bbands(self, other_args: List[str]):
|
||||
"""Process bbands command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="bbands",
|
||||
description="""
|
||||
Bollinger Bands consist of three lines. The middle band is a simple
|
||||
moving average (generally 20 periods) of the typical price (TP). The upper and lower
|
||||
bands are F standard deviations (generally 2) above and below the middle band.
|
||||
The bands widen and narrow when the volatility of the price is higher or lower,
|
||||
respectively. \n \nBollinger Bands do not, in themselves, generate buy or sell signals;
|
||||
they are an indicator of overbought or oversold conditions. When the price is near the
|
||||
upper or lower band it indicates that a reversal may be imminent. The middle band
|
||||
becomes a support or resistance level. The upper and lower bands can also be
|
||||
interpreted as price targets. When the price bounces off of the lower band and crosses
|
||||
the middle band, then the upper band becomes the price target.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length",
|
||||
action="store",
|
||||
dest="n_length",
|
||||
type=check_positive,
|
||||
default=5,
|
||||
help="length",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-s",
|
||||
"--std",
|
||||
action="store",
|
||||
dest="n_std",
|
||||
type=check_positive,
|
||||
default=2,
|
||||
help="std",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-m",
|
||||
"--mamode",
|
||||
action="store",
|
||||
dest="s_mamode",
|
||||
default="sma",
|
||||
help="mamode",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
volatility_view.display_bbands(
|
||||
ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
length=ns_parser.n_length,
|
||||
n_std=ns_parser.n_std,
|
||||
mamode=ns_parser.s_mamode,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_donchian(self, other_args: List[str]):
|
||||
"""Process donchian command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="donchian",
|
||||
description="""
|
||||
Donchian Channels are three lines generated by moving average
|
||||
calculations that comprise an indicator formed by upper and lower
|
||||
bands around a midrange or median band. The upper band marks the
|
||||
highest price of a security over N periods while the lower band
|
||||
marks the lowest price of a security over N periods. The area
|
||||
between the upper and lower bands represents the Donchian Channel.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-u",
|
||||
"--length_upper",
|
||||
action="store",
|
||||
dest="n_length_upper",
|
||||
type=check_positive,
|
||||
default=20,
|
||||
help="length",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-l",
|
||||
"--length_lower",
|
||||
action="store",
|
||||
dest="n_length_lower",
|
||||
type=check_positive,
|
||||
default=20,
|
||||
help="length",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
volatility_view.display_donchian(
|
||||
ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
upper_length=ns_parser.n_length_upper,
|
||||
lower_length=ns_parser.n_length_lower,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_ad(self, other_args: List[str]):
|
||||
"""Process ad command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="ad",
|
||||
description="""
|
||||
The Accumulation/Distribution Line is similar to the On Balance
|
||||
Volume (OBV), which sums the volume times +1/-1 based on whether the close is
|
||||
higher than the previous close. The Accumulation/Distribution indicator, however
|
||||
multiplies the volume by the close location value (CLV). The CLV is based on the
|
||||
movement of the issue within a single bar and can be +1, -1 or zero. \n \n
|
||||
The Accumulation/Distribution Line is interpreted by looking for a divergence in
|
||||
the direction of the indicator relative to price. If the Accumulation/Distribution
|
||||
Line is trending upward it indicates that the price may follow. Also, if the
|
||||
Accumulation/Distribution Line becomes flat while the price is still rising (or falling)
|
||||
then it signals an impending flattening of the price.
|
||||
""",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--open",
|
||||
action="store_true",
|
||||
default=False,
|
||||
dest="b_use_open",
|
||||
help="uses open value of data",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
volume_view.display_ad(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
use_open=ns_parser.b_use_open,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_obv(self, other_args: List[str]):
|
||||
"""Process obv command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="obv",
|
||||
description="""
|
||||
The On Balance Volume (OBV) is a cumulative total of the up and
|
||||
down volume. When the close is higher than the previous close, the volume is added
|
||||
to the running total, and when the close is lower than the previous close, the volume
|
||||
is subtracted from the running total. \n \n To interpret the OBV, look for the OBV
|
||||
to move with the price or precede price moves. If the price moves before the OBV,
|
||||
then it is a non-confirmed move. A series of rising peaks, or falling troughs, in the
|
||||
OBV indicates a strong trend. If the OBV is flat, then the market is not trending.
|
||||
""",
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
volume_view.display_obv(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
|
||||
@log_start_end(log=logger)
|
||||
def call_fib(self, other_args: List[str]):
|
||||
"""Process fib command"""
|
||||
parser = argparse.ArgumentParser(
|
||||
add_help=False,
|
||||
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
|
||||
prog="fib",
|
||||
description="Calculates the fibonacci retracement levels",
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"-p",
|
||||
"--period",
|
||||
dest="period",
|
||||
type=int,
|
||||
help="Days to lookback for retracement",
|
||||
default=120,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--start",
|
||||
dest="start",
|
||||
type=valid_date,
|
||||
help="Starting date to select",
|
||||
required="--end" in other_args,
|
||||
)
|
||||
|
||||
parser.add_argument(
|
||||
"--end",
|
||||
dest="end",
|
||||
type=valid_date,
|
||||
help="Ending date to select",
|
||||
required="--start" in other_args,
|
||||
)
|
||||
|
||||
ns_parser = parse_known_args_and_warn(
|
||||
parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
|
||||
)
|
||||
if ns_parser:
|
||||
custom_indicators_view.fibonacci_retracement(
|
||||
s_ticker=self.ticker,
|
||||
ohlc=self.data,
|
||||
period=ns_parser.period,
|
||||
start_date=ns_parser.start,
|
||||
end_date=ns_parser.end,
|
||||
export=ns_parser.export,
|
||||
)
|
||||
20
scripts/test_forex_ta.gst
vendored
Normal file
20
scripts/test_forex_ta.gst
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
forex
|
||||
from EUR
|
||||
to USD
|
||||
load
|
||||
ta
|
||||
ema
|
||||
sma
|
||||
zlma
|
||||
cci
|
||||
macd
|
||||
rsi
|
||||
stoch
|
||||
fisher
|
||||
cg
|
||||
adx
|
||||
aroon
|
||||
bbands
|
||||
donchian
|
||||
fib
|
||||
exit
|
||||
0
tests/gamestonk_terminal/forex/__init__.py
Normal file
0
tests/gamestonk_terminal/forex/__init__.py
Normal file
525
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[CHF-USD].yaml
vendored
Normal file
525
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[CHF-USD].yaml
vendored
Normal file
@@ -0,0 +1,525 @@
|
||||
interactions:
|
||||
- request:
|
||||
body: null
|
||||
headers:
|
||||
Accept:
|
||||
- '*/*'
|
||||
Accept-Encoding:
|
||||
- gzip, deflate
|
||||
Connection:
|
||||
- keep-alive
|
||||
User-Agent:
|
||||
- python-requests/2.27.1
|
||||
method: GET
|
||||
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&from_symbol=CHF&function=FX_DAILY&outputsize=full&to_symbol=USD
|
||||
response:
|
||||
body:
|
||||
string: !!binary |
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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Content-Type:
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Date:
|
||||
- Mon, 21 Mar 2022 11:22:47 GMT
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Expect-CT:
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- max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
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Server:
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status:
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code: 200
|
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message: OK
|
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|
||||
1355
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[EUR-USD].yaml
vendored
Normal file
1355
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[EUR-USD].yaml
vendored
Normal file
File diff suppressed because it is too large
Load Diff
1278
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[GBP-EUR].yaml
vendored
Normal file
1278
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[GBP-EUR].yaml
vendored
Normal file
File diff suppressed because it is too large
Load Diff
1392
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[USD-JPY].yaml
vendored
Normal file
1392
tests/gamestonk_terminal/forex/cassettes/test_av_model/test_get_historical[USD-JPY].yaml
vendored
Normal file
File diff suppressed because it is too large
Load Diff
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[CHF-USD].yaml
vendored
Normal file
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[CHF-USD].yaml
vendored
Normal file
@@ -0,0 +1,53 @@
|
||||
interactions:
|
||||
- request:
|
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body: null
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headers:
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Accept:
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- '*/*'
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Accept-Encoding:
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- gzip, deflate
|
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Connection:
|
||||
- keep-alive
|
||||
User-Agent:
|
||||
- python-requests/2.27.1
|
||||
method: GET
|
||||
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&from_currency=CHF&function=CURRENCY_EXCHANGE_RATE&to_currency=USD
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response:
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body:
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||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Mon, 21 Mar 2022 11:29:48 GMT
|
||||
Expect-CT:
|
||||
- max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
|
||||
Server:
|
||||
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Via:
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- 1.1 vegur
|
||||
X-Frame-Options:
|
||||
- SAMEORIGIN
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[EUR-USD].yaml
vendored
Normal file
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[EUR-USD].yaml
vendored
Normal file
@@ -0,0 +1,53 @@
|
||||
interactions:
|
||||
- request:
|
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body: null
|
||||
headers:
|
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Accept:
|
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- '*/*'
|
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Accept-Encoding:
|
||||
- gzip, deflate
|
||||
Connection:
|
||||
- keep-alive
|
||||
User-Agent:
|
||||
- python-requests/2.27.1
|
||||
method: GET
|
||||
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&from_currency=EUR&function=CURRENCY_EXCHANGE_RATE&to_currency=USD
|
||||
response:
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body:
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string: !!binary |
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headers:
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||||
- gzip
|
||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Mon, 21 Mar 2022 11:29:44 GMT
|
||||
Expect-CT:
|
||||
- max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
|
||||
Server:
|
||||
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Transfer-Encoding:
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- chunked
|
||||
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||||
Via:
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||||
- 1.1 vegur
|
||||
X-Frame-Options:
|
||||
- SAMEORIGIN
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[GBP-EUR].yaml
vendored
Normal file
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[GBP-EUR].yaml
vendored
Normal file
@@ -0,0 +1,53 @@
|
||||
interactions:
|
||||
- request:
|
||||
body: null
|
||||
headers:
|
||||
Accept:
|
||||
- '*/*'
|
||||
Accept-Encoding:
|
||||
- gzip, deflate
|
||||
Connection:
|
||||
- keep-alive
|
||||
User-Agent:
|
||||
- python-requests/2.27.1
|
||||
method: GET
|
||||
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&from_currency=GBP&function=CURRENCY_EXCHANGE_RATE&to_currency=EUR
|
||||
response:
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|
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headers:
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||||
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|
||||
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||||
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|
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|
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||||
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|
||||
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||||
- gzip
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||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Mon, 21 Mar 2022 11:29:46 GMT
|
||||
Expect-CT:
|
||||
- max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
|
||||
Server:
|
||||
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Transfer-Encoding:
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Via:
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|
||||
X-Frame-Options:
|
||||
- SAMEORIGIN
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[USD-JPY].yaml
vendored
Normal file
53
tests/gamestonk_terminal/forex/cassettes/test_av_view/test_display_quote[USD-JPY].yaml
vendored
Normal file
@@ -0,0 +1,53 @@
|
||||
interactions:
|
||||
- request:
|
||||
body: null
|
||||
headers:
|
||||
Accept:
|
||||
- '*/*'
|
||||
Accept-Encoding:
|
||||
- gzip, deflate
|
||||
Connection:
|
||||
- keep-alive
|
||||
User-Agent:
|
||||
- python-requests/2.27.1
|
||||
method: GET
|
||||
uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&from_currency=USD&function=CURRENCY_EXCHANGE_RATE&to_currency=JPY
|
||||
response:
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|
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headers:
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||||
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|
||||
CF-Cache-Status:
|
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- DYNAMIC
|
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CF-RAY:
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Connection:
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Content-Encoding:
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||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Mon, 21 Mar 2022 11:29:45 GMT
|
||||
Expect-CT:
|
||||
- max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
|
||||
Server:
|
||||
- cloudflare
|
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Transfer-Encoding:
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- chunked
|
||||
Vary:
|
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|
||||
Via:
|
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- 1.1 vegur
|
||||
X-Frame-Options:
|
||||
- SAMEORIGIN
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
1912
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[CHF-USD].csv
vendored
Normal file
1912
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[CHF-USD].csv
vendored
Normal file
File diff suppressed because it is too large
Load Diff
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[EUR-USD].csv
vendored
Normal file
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[EUR-USD].csv
vendored
Normal file
File diff suppressed because it is too large
Load Diff
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[GBP-EUR].csv
vendored
Normal file
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[GBP-EUR].csv
vendored
Normal file
File diff suppressed because it is too large
Load Diff
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[USD-JPY].csv
vendored
Normal file
5001
tests/gamestonk_terminal/forex/csv/test_av_model/test_get_historical[USD-JPY].csv
vendored
Normal file
File diff suppressed because it is too large
Load Diff
5001
tests/gamestonk_terminal/forex/technical_analysis/csv/test_ta_controller/data_df.csv
vendored
Normal file
5001
tests/gamestonk_terminal/forex/technical_analysis/csv/test_ta_controller/data_df.csv
vendored
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,11 @@
|
||||
# IMPORTATION STANDARD
|
||||
|
||||
# IMPORTATION THIRDPARTY
|
||||
|
||||
# IMPORTATION INTERNAL
|
||||
from gamestonk_terminal.helper_classes import ModelsNamespace as _models
|
||||
from gamestonk_terminal.forex.technical_analysis import ta_api
|
||||
|
||||
|
||||
def test_models():
|
||||
assert isinstance(ta_api.models, _models)
|
||||
@@ -0,0 +1,493 @@
|
||||
# IMPORTATION STANDARD
|
||||
import os
|
||||
from datetime import datetime
|
||||
|
||||
# IMPORTATION THIRDPARTY
|
||||
import pandas as pd
|
||||
import pytest
|
||||
|
||||
# IMPORTATION INTERNAL
|
||||
from gamestonk_terminal.forex.technical_analysis import ta_controller
|
||||
|
||||
# pylint: disable=E1101
|
||||
# pylint: disable=W0603
|
||||
# pylint: disable=E1111
|
||||
|
||||
EMPTY_DF = pd.DataFrame()
|
||||
MOCK_STOCK_DF = pd.read_csv(
|
||||
"tests/gamestonk_terminal/forex/technical_analysis/csv/test_ta_controller/data_df.csv",
|
||||
index_col=0,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def vcr_config():
|
||||
return {
|
||||
"filter_headers": [("User-Agent", None)],
|
||||
"filter_query_parameters": [
|
||||
("period1", "MOCK_PERIOD_1"),
|
||||
("period2", "MOCK_PERIOD_2"),
|
||||
("date", "MOCK_DATE"),
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"queue, expected",
|
||||
[
|
||||
(["load", "help"], []),
|
||||
(["quit", "help"], ["help"]),
|
||||
],
|
||||
)
|
||||
def test_menu_with_queue(expected, mocker, queue):
|
||||
path_controller = "gamestonk_terminal.forex.technical_analysis.ta_controller"
|
||||
|
||||
# MOCK SWITCH
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.TechnicalAnalysisController.switch",
|
||||
return_value=["quit"],
|
||||
)
|
||||
|
||||
result_menu = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_TICKER",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=queue,
|
||||
).menu()
|
||||
|
||||
assert result_menu == expected
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
def test_menu_without_queue_completion(mocker):
|
||||
path_controller = "gamestonk_terminal.forex.technical_analysis.ta_controller"
|
||||
|
||||
# ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
|
||||
mocker.patch(
|
||||
target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
|
||||
new=True,
|
||||
)
|
||||
mocker.patch(
|
||||
target="gamestonk_terminal.parent_classes.session",
|
||||
)
|
||||
mocker.patch(
|
||||
target="gamestonk_terminal.parent_classes.session.prompt",
|
||||
return_value="quit",
|
||||
)
|
||||
|
||||
# DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
|
||||
|
||||
# DISABLE AUTO-COMPLETION
|
||||
mocker.patch.object(
|
||||
target=ta_controller.gtff,
|
||||
attribute="USE_PROMPT_TOOLKIT",
|
||||
new=True,
|
||||
)
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.session",
|
||||
)
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.session.prompt",
|
||||
return_value="quit",
|
||||
)
|
||||
|
||||
result_menu = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_TICKER",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
).menu()
|
||||
|
||||
assert result_menu == []
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"mock_input",
|
||||
["help", "homee help", "home help", "mock"],
|
||||
)
|
||||
def test_menu_without_queue_sys_exit(mock_input, mocker):
|
||||
path_controller = "gamestonk_terminal.forex.technical_analysis.ta_controller"
|
||||
|
||||
# DISABLE AUTO-COMPLETION
|
||||
mocker.patch.object(
|
||||
target=ta_controller.gtff,
|
||||
attribute="USE_PROMPT_TOOLKIT",
|
||||
new=False,
|
||||
)
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.session",
|
||||
return_value=None,
|
||||
)
|
||||
|
||||
# MOCK USER INPUT
|
||||
mocker.patch("builtins.input", return_value=mock_input)
|
||||
|
||||
# MOCK SWITCH
|
||||
class SystemExitSideEffect:
|
||||
def __init__(self):
|
||||
self.first_call = True
|
||||
|
||||
def __call__(self, *args, **kwargs):
|
||||
if self.first_call:
|
||||
self.first_call = False
|
||||
raise SystemExit()
|
||||
return ["quit"]
|
||||
|
||||
mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.TechnicalAnalysisController.switch",
|
||||
new=mock_switch,
|
||||
)
|
||||
|
||||
result_menu = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_TICKER",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
).menu()
|
||||
|
||||
assert result_menu == []
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.record_stdout
|
||||
@pytest.mark.parametrize(
|
||||
"start",
|
||||
[
|
||||
datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
],
|
||||
)
|
||||
def test_print_help(start):
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_TICKER",
|
||||
start=start,
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
)
|
||||
controller.print_help()
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"an_input, expected_queue",
|
||||
[
|
||||
("", []),
|
||||
(
|
||||
"/help",
|
||||
[
|
||||
"home",
|
||||
"help",
|
||||
],
|
||||
),
|
||||
("help/help", ["help", "help"]),
|
||||
("q", ["quit"]),
|
||||
("h", []),
|
||||
(
|
||||
"r",
|
||||
[
|
||||
"quit",
|
||||
"quit",
|
||||
"reset",
|
||||
"forex",
|
||||
"from MOCK_FROM",
|
||||
"to MOCK_TO",
|
||||
"load",
|
||||
"ta",
|
||||
],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_switch(an_input, expected_queue):
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_FROM/MOCK_TO",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
)
|
||||
queue = controller.switch(an_input=an_input)
|
||||
|
||||
assert queue == expected_queue
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
def test_call_cls(mocker):
|
||||
mocker.patch("os.system")
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_TICKER/MOCK_TICKER",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
)
|
||||
controller.call_cls([])
|
||||
|
||||
assert controller.queue == []
|
||||
os.system.assert_called_once_with("cls||clear")
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"func, queue, expected_queue",
|
||||
[
|
||||
(
|
||||
"call_exit",
|
||||
[],
|
||||
["quit", "quit", "quit"],
|
||||
),
|
||||
("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
|
||||
("call_home", [], ["quit", "quit"]),
|
||||
("call_help", [], []),
|
||||
("call_quit", [], ["quit"]),
|
||||
("call_quit", ["help"], ["quit", "help"]),
|
||||
(
|
||||
"call_reset",
|
||||
[],
|
||||
[
|
||||
"quit",
|
||||
"quit",
|
||||
"reset",
|
||||
"forex",
|
||||
"from MOCK_FROM",
|
||||
"to MOCK_TO",
|
||||
"load",
|
||||
"ta",
|
||||
],
|
||||
),
|
||||
(
|
||||
"call_reset",
|
||||
["help"],
|
||||
[
|
||||
"quit",
|
||||
"quit",
|
||||
"reset",
|
||||
"forex",
|
||||
"from MOCK_FROM",
|
||||
"to MOCK_TO",
|
||||
"load",
|
||||
"ta",
|
||||
"help",
|
||||
],
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_call_func_expect_queue(expected_queue, func, queue):
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_FROM/MOCK_TO",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=queue,
|
||||
)
|
||||
result = getattr(controller, func)([])
|
||||
|
||||
assert result is None
|
||||
assert controller.queue == expected_queue
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"tested_func, other_args, mocked_func, called_args, called_kwargs",
|
||||
[
|
||||
(
|
||||
"call_ema",
|
||||
[
|
||||
"1,2",
|
||||
"--offset=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"overlap_view.view_ma",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_sma",
|
||||
[
|
||||
"1,2",
|
||||
"--offset=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"overlap_view.view_ma",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_zlma",
|
||||
[
|
||||
"1,2",
|
||||
"--offset=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"overlap_view.view_ma",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_cci",
|
||||
[
|
||||
"--length=1",
|
||||
"--scalar=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_cci",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_macd",
|
||||
[
|
||||
"--fast=1",
|
||||
"--slow=2",
|
||||
"--signal=3",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_macd",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_rsi",
|
||||
[
|
||||
"1",
|
||||
"--scalar=2",
|
||||
"--drift=3",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_rsi",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_stoch",
|
||||
[
|
||||
"--fastkperiod=1",
|
||||
"--slowdperiod=2",
|
||||
"--slowkperiod=3",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_stoch",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_fisher",
|
||||
[
|
||||
"1",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_fisher",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_cg",
|
||||
[
|
||||
"1",
|
||||
"--export=csv",
|
||||
],
|
||||
"momentum_view.display_cg",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_adx",
|
||||
[
|
||||
"1",
|
||||
"--scalar=2",
|
||||
"--drift=3",
|
||||
"--export=csv",
|
||||
],
|
||||
"trend_indicators_view.display_adx",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_aroon",
|
||||
[
|
||||
"1",
|
||||
"--scalar=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"trend_indicators_view.display_aroon",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_bbands",
|
||||
[
|
||||
"1",
|
||||
"--std=2",
|
||||
"--mamode=MOCK_MAMODE",
|
||||
"--export=csv",
|
||||
],
|
||||
"volatility_view.display_bbands",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_donchian",
|
||||
[
|
||||
"--length_upper=1",
|
||||
"--length_lower=2",
|
||||
"--export=csv",
|
||||
],
|
||||
"volatility_view.display_donchian",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
(
|
||||
"call_fib",
|
||||
[
|
||||
"1",
|
||||
"--start=2021-12-01",
|
||||
"--end=2021-12-02",
|
||||
"--export=csv",
|
||||
],
|
||||
"custom_indicators_view.fibonacci_retracement",
|
||||
[],
|
||||
dict(),
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_call_func(
|
||||
tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
|
||||
):
|
||||
path_controller = "gamestonk_terminal.forex.technical_analysis.ta_controller"
|
||||
|
||||
if mocked_func:
|
||||
mock = mocker.Mock()
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.{mocked_func}",
|
||||
new=mock,
|
||||
)
|
||||
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_FROM/MOCK_TO",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
)
|
||||
# controller.screen_tickers = ["PM"]
|
||||
getattr(controller, tested_func)(other_args)
|
||||
|
||||
if called_args or called_kwargs:
|
||||
mock.assert_called_once_with(*called_args, **called_kwargs)
|
||||
else:
|
||||
mock.assert_called_once()
|
||||
else:
|
||||
controller = ta_controller.TechnicalAnalysisController(
|
||||
ticker="MOCK_FROM/MOCK_TO",
|
||||
start=datetime.strptime("2021-12-01", "%Y-%m-%d"),
|
||||
interval="MOCK_INTERVAL",
|
||||
data=MOCK_STOCK_DF,
|
||||
queue=None,
|
||||
)
|
||||
# controller.screen_tickers = ["PM"]
|
||||
getattr(controller, tested_func)(other_args)
|
||||
@@ -0,0 +1,23 @@
|
||||
|
||||
Currency Pair Loaded: MOCK_TICKER (from 2021-12-01)
|
||||
|
||||
Overlap:
|
||||
ema exponential moving average
|
||||
sma simple moving average
|
||||
zlma zero lag moving average
|
||||
Momentum:
|
||||
cci commodity channel index
|
||||
macd moving average convergence/divergence
|
||||
rsi relative strength index
|
||||
stoch stochastic oscillator
|
||||
fisher fisher transform
|
||||
cg centre of gravity
|
||||
Trend:
|
||||
adx average directional movement index
|
||||
aroon aroon indicator
|
||||
Volatility:
|
||||
bbands bollinger bands
|
||||
donchian donchian channels
|
||||
Custom:
|
||||
fib fibonacci retracement
|
||||
|
||||
34
tests/gamestonk_terminal/forex/test_av_model.py
Normal file
34
tests/gamestonk_terminal/forex/test_av_model.py
Normal file
@@ -0,0 +1,34 @@
|
||||
# IMPORTATION STANDARD
|
||||
|
||||
# IMPORTATION THIRDPARTY
|
||||
import pytest
|
||||
|
||||
# IMPORTATION INTERNAL
|
||||
from gamestonk_terminal.forex import av_model
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def vcr_config():
|
||||
return {
|
||||
"filter_query_parameters": [
|
||||
("apikey", "MOCK_API_KEY"),
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.vcr
|
||||
@pytest.mark.parametrize(
|
||||
"from_symbol, to_symbol",
|
||||
[
|
||||
("EUR", "USD"),
|
||||
("USD", "JPY"),
|
||||
("GBP", "EUR"),
|
||||
("CHF", "USD"),
|
||||
],
|
||||
)
|
||||
def test_get_historical(from_symbol, to_symbol, recorder):
|
||||
result = av_model.get_historical(
|
||||
to_symbol=to_symbol,
|
||||
from_symbol=from_symbol,
|
||||
)
|
||||
recorder.capture(result)
|
||||
30
tests/gamestonk_terminal/forex/test_av_view.py
Normal file
30
tests/gamestonk_terminal/forex/test_av_view.py
Normal file
@@ -0,0 +1,30 @@
|
||||
# IMPORTATION STANDARD
|
||||
|
||||
# IMPORTATION THIRDPARTY
|
||||
import pytest
|
||||
|
||||
# IMPORTATION INTERNAL
|
||||
from gamestonk_terminal.forex import av_view
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def vcr_config():
|
||||
return {
|
||||
"filter_query_parameters": [
|
||||
("apikey", "MOCK_API_KEY"),
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.vcr
|
||||
@pytest.mark.parametrize(
|
||||
"from_symbol, to_symbol",
|
||||
[
|
||||
("EUR", "USD"),
|
||||
("USD", "JPY"),
|
||||
("GBP", "EUR"),
|
||||
("CHF", "USD"),
|
||||
],
|
||||
)
|
||||
def test_display_quote(from_symbol, to_symbol):
|
||||
av_view.display_quote(from_symbol=from_symbol, to_symbol=to_symbol)
|
||||
12
tests/gamestonk_terminal/forex/test_forex_api.py
Normal file
12
tests/gamestonk_terminal/forex/test_forex_api.py
Normal file
@@ -0,0 +1,12 @@
|
||||
# IMPORTATION STANDARD
|
||||
|
||||
# IMPORTATION THIRDPARTY
|
||||
|
||||
# IMPORTATION INTERNAL
|
||||
from gamestonk_terminal.helper_classes import ModelsNamespace as _models
|
||||
from gamestonk_terminal.forex import forex_api
|
||||
|
||||
|
||||
def test_models():
|
||||
assert isinstance(forex_api.oanda.models, _models)
|
||||
assert isinstance(forex_api.ta.models, _models)
|
||||
385
tests/gamestonk_terminal/forex/test_forex_controller.py
Normal file
385
tests/gamestonk_terminal/forex/test_forex_controller.py
Normal file
@@ -0,0 +1,385 @@
|
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# IMPORTATION STANDARD
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import os
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# IMPORTATION THIRDPARTY
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import pandas as pd
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import pytest
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# IMPORTATION INTERNAL
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from gamestonk_terminal.forex import forex_controller
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from gamestonk_terminal.forex.technical_analysis.ta_controller import (
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TechnicalAnalysisController,
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)
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# pylint: disable=E1101
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# pylint: disable=W0603
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# pylint: disable=E1111
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NON_EMPTY_DF = pd.DataFrame.from_dict(
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data={
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pd.Timestamp("2020-11-30 00:00:00"): {
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"Close": 75.75,
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},
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pd.Timestamp("2020-12-01 00:00:00"): {
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"Close": 77.02999877929688,
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},
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},
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orient="index",
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)
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EMPTY_DF = pd.DataFrame()
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@pytest.fixture(scope="module")
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def vcr_config():
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return {
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"filter_headers": [("User-Agent", None)],
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"filter_query_parameters": [
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("period1", "MOCK_PERIOD_1"),
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("period2", "MOCK_PERIOD_2"),
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("date", "MOCK_DATE"),
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],
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}
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
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"queue, expected",
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[
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(["load", "help"], []),
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(["quit", "help"], ["help"]),
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],
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)
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def test_menu_with_queue(expected, mocker, queue):
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path_controller = "gamestonk_terminal.forex.forex_controller"
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# MOCK SWITCH
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mocker.patch(
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target=f"{path_controller}.ForexController.switch",
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return_value=["quit"],
|
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)
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result_menu = forex_controller.ForexController(queue=queue).menu()
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assert result_menu == expected
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@pytest.mark.vcr(record_mode="none")
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def test_menu_without_queue_completion(mocker):
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path_controller = "gamestonk_terminal.forex.forex_controller"
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# ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
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mocker.patch(
|
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target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
|
||||
new=True,
|
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)
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mocker.patch(
|
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target="gamestonk_terminal.parent_classes.session",
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)
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mocker.patch(
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target="gamestonk_terminal.parent_classes.session.prompt",
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return_value="quit",
|
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)
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# DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
|
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mocker.patch.object(
|
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target=forex_controller.gtff,
|
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attribute="USE_PROMPT_TOOLKIT",
|
||||
new=True,
|
||||
)
|
||||
mocker.patch(
|
||||
target=f"{path_controller}.session",
|
||||
)
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||||
mocker.patch(
|
||||
target=f"{path_controller}.session.prompt",
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||||
return_value="quit",
|
||||
)
|
||||
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||||
result_menu = forex_controller.ForexController(queue=None).menu()
|
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assert result_menu == []
|
||||
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||||
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
|
||||
"mock_input",
|
||||
["help", "homee help", "home help", "mock"],
|
||||
)
|
||||
def test_menu_without_queue_sys_exit(mock_input, mocker):
|
||||
path_controller = "gamestonk_terminal.forex.forex_controller"
|
||||
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# DISABLE AUTO-COMPLETION
|
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mocker.patch.object(
|
||||
target=forex_controller.gtff,
|
||||
attribute="USE_PROMPT_TOOLKIT",
|
||||
new=False,
|
||||
)
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||||
mocker.patch(
|
||||
target=f"{path_controller}.session",
|
||||
return_value=None,
|
||||
)
|
||||
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# MOCK USER INPUT
|
||||
mocker.patch("builtins.input", return_value=mock_input)
|
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# MOCK SWITCH
|
||||
class SystemExitSideEffect:
|
||||
def __init__(self):
|
||||
self.first_call = True
|
||||
|
||||
def __call__(self, *args, **kwargs):
|
||||
if self.first_call:
|
||||
self.first_call = False
|
||||
raise SystemExit()
|
||||
return ["quit"]
|
||||
|
||||
mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
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||||
mocker.patch(
|
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target=f"{path_controller}.ForexController.switch",
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||||
new=mock_switch,
|
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)
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||||
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result_menu = forex_controller.ForexController(queue=None).menu()
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assert result_menu == []
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@pytest.mark.vcr(record_mode="none")
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@pytest.mark.record_stdout
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def test_print_help():
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||||
controller = forex_controller.ForexController(queue=None)
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controller.print_help()
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||||
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||||
@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
|
||||
"an_input, expected_queue",
|
||||
[
|
||||
("", []),
|
||||
("/help", ["home", "help"]),
|
||||
("help/help", ["help", "help"]),
|
||||
("q", ["quit"]),
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("h", []),
|
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(
|
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"r",
|
||||
[
|
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"quit",
|
||||
"reset",
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||||
"forex",
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||||
],
|
||||
),
|
||||
],
|
||||
)
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def test_switch(an_input, expected_queue):
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||||
controller = forex_controller.ForexController(queue=None)
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||||
queue = controller.switch(an_input=an_input)
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||||
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||||
assert queue == expected_queue
|
||||
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||||
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||||
@pytest.mark.vcr(record_mode="none")
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||||
def test_call_cls(mocker):
|
||||
mocker.patch("os.system")
|
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controller = forex_controller.ForexController(queue=None)
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controller.call_cls([])
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assert controller.queue == []
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os.system.assert_called_once_with("cls||clear")
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||||
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||||
@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
|
||||
"func, queue, expected_queue",
|
||||
[
|
||||
(
|
||||
"call_exit",
|
||||
[],
|
||||
["quit", "quit"],
|
||||
),
|
||||
("call_exit", ["help"], ["quit", "quit", "help"]),
|
||||
("call_home", [], ["quit"]),
|
||||
("call_help", [], []),
|
||||
("call_quit", [], ["quit"]),
|
||||
("call_quit", ["help"], ["quit", "help"]),
|
||||
(
|
||||
"call_reset",
|
||||
[],
|
||||
[
|
||||
"quit",
|
||||
"reset",
|
||||
"forex",
|
||||
],
|
||||
),
|
||||
(
|
||||
"call_reset",
|
||||
["help"],
|
||||
[
|
||||
"quit",
|
||||
"reset",
|
||||
"forex",
|
||||
"help",
|
||||
],
|
||||
),
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||||
],
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||||
)
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def test_call_func_expect_queue(expected_queue, func, queue):
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controller = forex_controller.ForexController(queue=queue)
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result = getattr(controller, func)([])
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||||
assert result is None
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assert controller.queue == expected_queue
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"tested_func, other_args, mocked_func, called_args, called_kwargs",
|
||||
[
|
||||
("call_to", ["GBP"], None, [], dict()),
|
||||
("call_from", ["EUR"], None, [], dict()),
|
||||
(
|
||||
"call_ta",
|
||||
None,
|
||||
None,
|
||||
None,
|
||||
None,
|
||||
),
|
||||
(
|
||||
"call_ta",
|
||||
[],
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||||
"ForexController.load_class",
|
||||
[TechnicalAnalysisController],
|
||||
dict(
|
||||
ticker="MOCK_TICKER/MOCK_TICKER",
|
||||
data=NON_EMPTY_DF,
|
||||
start=pd.Timestamp("2020-11-30 00:00:00"),
|
||||
interval="",
|
||||
queue=[],
|
||||
),
|
||||
),
|
||||
(
|
||||
"call_oanda",
|
||||
None,
|
||||
"ForexController.load_class",
|
||||
None,
|
||||
None,
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_call_func(
|
||||
tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
|
||||
):
|
||||
path_controller = "gamestonk_terminal.forex.forex_controller"
|
||||
|
||||
if mocked_func:
|
||||
mock = mocker.Mock()
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||||
mocker.patch(
|
||||
target=f"{path_controller}.{mocked_func}",
|
||||
new=mock,
|
||||
)
|
||||
|
||||
controller = forex_controller.ForexController(queue=None)
|
||||
controller.data = NON_EMPTY_DF
|
||||
controller.to_symbol = "MOCK_TICKER"
|
||||
controller.from_symbol = "MOCK_TICKER"
|
||||
controller.interval = ""
|
||||
|
||||
getattr(controller, tested_func)(other_args)
|
||||
|
||||
if called_args or called_kwargs:
|
||||
mock.assert_called_once_with(*called_args, **called_kwargs)
|
||||
else:
|
||||
mock.assert_called_once()
|
||||
else:
|
||||
controller = forex_controller.ForexController(queue=None)
|
||||
controller.stock = EMPTY_DF
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controller.to_symbol = "MOCK_TICKER"
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controller.from_symbol = "MOCK_TICKER"
|
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controller.interval = "1440min"
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||||
|
||||
getattr(controller, tested_func)(other_args)
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
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@pytest.mark.parametrize(
|
||||
"func",
|
||||
[
|
||||
"call_from",
|
||||
"call_to",
|
||||
"call_load",
|
||||
"call_candle",
|
||||
],
|
||||
)
|
||||
def test_call_func_no_parser(func, mocker):
|
||||
# MOCK PARSE_KNOWN_ARGS_AND_WARN
|
||||
mocker.patch(
|
||||
target="gamestonk_terminal.forex.forex_controller.parse_known_args_and_warn",
|
||||
return_value=None,
|
||||
)
|
||||
controller = forex_controller.ForexController(queue=None)
|
||||
|
||||
func_result = getattr(controller, func)(other_args=list())
|
||||
assert func_result is None
|
||||
assert controller.queue == []
|
||||
getattr(forex_controller, "parse_known_args_and_warn").assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"func",
|
||||
[
|
||||
"call_candle",
|
||||
"call_ta",
|
||||
# "call_qa",
|
||||
# "call_pred",
|
||||
],
|
||||
)
|
||||
def test_call_func_no_ticker(func, mocker):
|
||||
# MOCK PARSE_KNOWN_ARGS_AND_WARN
|
||||
mocker.patch(
|
||||
"gamestonk_terminal.forex.forex_controller.parse_known_args_and_warn",
|
||||
return_value=True,
|
||||
)
|
||||
|
||||
controller = forex_controller.ForexController(queue=None)
|
||||
|
||||
func_result = getattr(controller, func)([])
|
||||
assert func_result is None
|
||||
assert controller.queue == []
|
||||
|
||||
|
||||
@pytest.mark.vcr(record_mode="none")
|
||||
@pytest.mark.parametrize(
|
||||
"from_symbol, to_symbol, expected",
|
||||
[
|
||||
(None, None, []),
|
||||
("MOCK_FROM", None, []),
|
||||
(None, "MOCK_TO", []),
|
||||
("MOCK_FROM", "MOCK_TO", ["forex", "from MOCK_FROM", "to MOCK_TO"]),
|
||||
],
|
||||
)
|
||||
def test_custom_reset(from_symbol, to_symbol, expected):
|
||||
controller = forex_controller.ForexController(queue=None)
|
||||
controller.from_symbol = from_symbol
|
||||
controller.to_symbol = to_symbol
|
||||
|
||||
result = controller.custom_reset()
|
||||
|
||||
assert result == expected
|
||||
|
||||
|
||||
# @pytest.mark.vcr
|
||||
# def test_call_load(mocker):
|
||||
# # FORCE SINGLE THREADING
|
||||
# yf_download = forex_controller.forex_helper.yf.download
|
||||
|
||||
# def mock_yf_download(*args, **kwargs):
|
||||
# kwargs["threads"] = False
|
||||
# return yf_download(*args, **kwargs)
|
||||
|
||||
# mocker.patch("yfinance.download", side_effect=mock_yf_download)
|
||||
|
||||
# controller = forex_controller.ForexController(queue=None)
|
||||
# other_args = [
|
||||
# "TSLA",
|
||||
# "--start=2021-12-17",
|
||||
# "--end=2021-12-18",
|
||||
# ]
|
||||
# controller.call_load(other_args=other_args)
|
||||
18
tests/gamestonk_terminal/forex/txt/test_forex_controller/test_print_help.txt
vendored
Normal file
18
tests/gamestonk_terminal/forex/txt/test_forex_controller/test_print_help.txt
vendored
Normal file
@@ -0,0 +1,18 @@
|
||||
|
||||
from select the "from" currency in a forex pair
|
||||
to select the "to" currency in a forex pair
|
||||
|
||||
From: USD
|
||||
To:
|
||||
[dim]
|
||||
[AlphaVantage]
|
||||
quote get last quote
|
||||
load get historical data
|
||||
candle show candle plot for loaded data
|
||||
|
||||
> ta technical analysis for loaded coin, e.g.: ema, macd, rsi, adx, bbands, obv
|
||||
|
||||
[/dim]
|
||||
Forex brokerages:
|
||||
> oanda Oanda menu
|
||||
|
||||
Reference in New Issue
Block a user