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Change Finbrain references to FinBrain
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@@ -1,4 +1,4 @@
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"""Finbrain View Module"""
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"""FinBrain View Module"""
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__docformat__ = "numpy"
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import argparse
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@@ -1,4 +1,4 @@
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""" Comparison Analysis Finbrain API """
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""" Comparison Analysis FinBrain API """
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__docformat__ = "numpy"
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import argparse
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@@ -38,7 +38,7 @@ def sentiment_compare(other_args: List[str], ticker: str, similar: List[str]):
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prog="sentiment_compare",
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description="""
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FinBrain's sentiment comparison across similar tickers.
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Finbrain collects the news headlines from 15+ major financial news
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FinBrain collects the news headlines from 15+ major financial news
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sources on a daily basis and analyzes them to generate sentiment scores
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for more than 4500 US stocks.FinBrain Technologies develops deep learning
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algorithms for financial analysis and prediction, which currently serves
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@@ -103,7 +103,7 @@ def sentiment_correlation(other_args: List[str], ticker: str, similar: List[str]
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prog="sentiment_compare",
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description="""
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FinBrain's sentiment correlation across similar tickers.
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Finbrain collects the news headlines from 15+ major financial news
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FinBrain collects the news headlines from 15+ major financial news
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sources on a daily basis and analyzes them to generate sentiment scores
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for more than 4500 US stocks.FinBrain Technologies develops deep learning
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algorithms for financial analysis and prediction, which currently serves
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@@ -3,7 +3,7 @@
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This menu aims to perform a technical analysis on a pre-loaded ticker chart, and the usage of the following commands along with an example will be exploited below.
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* [summary](#summary)
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- technical summary report [Finbrain API]
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- technical summary report [FinBrain API]
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[OVERLAP](#OVERLAP)
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* [ema](#ema)
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- exponential moving average
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@@ -77,7 +77,7 @@ class TechnicalAnalysisController:
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print(" q quit this menu, and shows back to main menu")
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print(" quit quit to abandon program")
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print("")
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print(" summary technical summary report [Finbrain API]")
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print(" summary technical summary report [FinBrain API]")
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print("overlap:")
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print(" ema exponential moving average")
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print(" sma simple moving average")
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