initial commit
This commit is contained in:
459
main_gui.py
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459
main_gui.py
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import sys
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from PyQt6.QtWidgets import (QApplication, QMainWindow, QTabWidget, QWidget,
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QVBoxLayout, QHBoxLayout, QPushButton, QLabel,
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QComboBox, QLineEdit, QListWidget, QListWidgetItem,
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QMessageBox, QDateEdit, QSizePolicy)
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from PyQt6.QtCore import QDate, Qt
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from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg as FigureCanvas
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from matplotlib.figure import Figure
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import pandas as pd
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import datetime
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from stock_data_manager import StockDataManager
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from financial_tools import FinancialTools
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class MplCanvas(FigureCanvas):
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"""Matplotlib Canvas für die Einbettung in PyQt."""
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def __init__(self, parent=None, width=5, height=4, dpi=100):
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fig = Figure(figsize=(width, height), dpi=dpi)
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self.axes = fig.add_subplot(111)
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super(MplCanvas, self).__init__(fig)
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self.setParent(parent)
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self.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Expanding)
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self.updateGeometry()
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class StockAnalyzer(QMainWindow):
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def __init__(self):
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super().__init__()
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self.setWindowTitle("Aktienanalyse-Tool")
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self.setGeometry(100, 100, 1200, 800)
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self.db_manager = StockDataManager("stock_analysis.db")
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self.financial_tools = FinancialTools()
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self.central_widget = QWidget()
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self.setCentralWidget(self.central_widget)
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self.main_layout = QVBoxLayout(self.central_widget)
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self._create_top_panel()
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self._create_tabs()
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self._load_initial_data()
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def _create_top_panel(self):
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"""Erstellt das obere Panel für CSV-Import und Symbol-Auswahl."""
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top_panel_layout = QHBoxLayout()
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# CSV Import
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csv_group_layout = QVBoxLayout()
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csv_group_layout.addWidget(QLabel("CSV-Datei mit Symbolen importieren (Symbol,CompanyName):"))
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self.csv_path_input = QLineEdit("stocks.csv")
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csv_group_layout.addWidget(self.csv_path_input)
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import_csv_button = QPushButton("CSV importieren & Daten holen")
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import_csv_button.clicked.connect(self._import_csv_and_fetch)
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csv_group_layout.addWidget(import_csv_button)
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top_panel_layout.addLayout(csv_group_layout)
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top_panel_layout.addStretch(1) # Abstandhalter
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# Symbol Auswahl
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symbol_selection_layout = QVBoxLayout()
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symbol_selection_layout.addWidget(QLabel("Aktie auswählen:"))
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self.symbol_combo = QComboBox()
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self.symbol_combo.currentIndexChanged.connect(self._on_symbol_selected)
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symbol_selection_layout.addWidget(self.symbol_combo)
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# Datumsbereich
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date_range_layout = QHBoxLayout()
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date_range_layout.addWidget(QLabel("Von:"))
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self.start_date_edit = QDateEdit(QDate.currentDate().addYears(-1))
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self.start_date_edit.setCalendarPopup(True)
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date_range_layout.addWidget(self.start_date_edit)
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date_range_layout.addWidget(QLabel("Bis:"))
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self.end_date_edit = QDateEdit(QDate.currentDate())
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self.end_date_edit.setCalendarPopup(True)
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date_range_layout.addWidget(self.end_date_edit)
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symbol_selection_layout.addLayout(date_range_layout)
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# Refresh Button
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refresh_data_button = QPushButton("Daten aktualisieren")
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refresh_data_button.clicked.connect(self._refresh_selected_stock_data)
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symbol_selection_layout.addWidget(refresh_data_button)
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top_panel_layout.addLayout(symbol_selection_layout)
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self.main_layout.addLayout(top_panel_layout)
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def _create_tabs(self):
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"""Erstellt die Reiter für verschiedene Ansichten."""
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self.tabs = QTabWidget()
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self.main_layout.addWidget(self.tabs)
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self.tab_overview = QWidget()
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self.tabs.addTab(self.tab_overview, "Übersicht & Kurse")
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self._setup_overview_tab()
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self.tab_returns = QWidget()
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self.tabs.addTab(self.tab_returns, "Renditen")
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self._setup_returns_tab()
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self.tab_ma = QWidget()
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self.tabs.addTab(self.tab_ma, "Gleitender Durchschnitt")
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self._setup_ma_tab()
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self.tab_volatility = QWidget()
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self.tabs.addTab(self.tab_volatility, "Volatilität")
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self._setup_volatility_tab()
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self.tab_beta = QWidget()
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self.tabs.addTab(self.tab_beta, "Beta (Marktabhängigkeit)")
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self._setup_beta_tab()
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def _setup_overview_tab(self):
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layout = QVBoxLayout(self.tab_overview)
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self.overview_canvas = MplCanvas(self.tab_overview, width=10, height=6)
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layout.addWidget(self.overview_canvas)
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self.overview_text = QLabel("Kursdaten:")
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layout.addWidget(self.overview_text)
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def _setup_returns_tab(self):
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layout = QVBoxLayout(self.tab_returns)
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self.returns_canvas = MplCanvas(self.tab_returns, width=10, height=6)
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layout.addWidget(self.returns_canvas)
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self.returns_text = QLabel("Renditen:")
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layout.addWidget(self.returns_text)
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def _setup_ma_tab(self):
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layout = QVBoxLayout(self.tab_ma)
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ma_controls_layout = QHBoxLayout()
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ma_controls_layout.addWidget(QLabel("Fenster (Tage):"))
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self.ma_window_input = QLineEdit("20")
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self.ma_window_input.setFixedWidth(50)
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ma_controls_layout.addWidget(self.ma_window_input)
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self.ma_apply_button = QPushButton("Anwenden")
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self.ma_apply_button.clicked.connect(self._plot_ma)
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ma_controls_layout.addWidget(self.ma_apply_button)
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ma_controls_layout.addStretch(1)
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layout.addLayout(ma_controls_layout)
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self.ma_canvas = MplCanvas(self.tab_ma, width=10, height=6)
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layout.addWidget(self.ma_canvas)
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self.ma_text = QLabel("Gleitender Durchschnitt:")
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layout.addWidget(self.ma_text)
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def _setup_volatility_tab(self):
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layout = QVBoxLayout(self.tab_volatility)
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vol_controls_layout = QHBoxLayout()
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vol_controls_layout.addWidget(QLabel("Fenster (Tage):"))
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self.vol_window_input = QLineEdit("20")
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self.vol_window_input.setFixedWidth(50)
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vol_controls_layout.addWidget(self.vol_window_input)
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self.vol_apply_button = QPushButton("Anwenden")
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self.vol_apply_button.clicked.connect(self._plot_volatility)
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vol_controls_layout.addStretch(1)
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layout.addLayout(vol_controls_layout)
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self.vol_canvas = MplCanvas(self.tab_volatility, width=10, height=6)
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layout.addWidget(self.vol_canvas)
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self.vol_text = QLabel("Volatilität:")
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layout.addWidget(self.vol_text)
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def _setup_beta_tab(self):
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layout = QVBoxLayout(self.tab_beta)
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beta_controls_layout = QHBoxLayout()
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beta_controls_layout.addWidget(QLabel("Markt-Symbol (z.B. SPY):"))
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self.market_symbol_input = QLineEdit("SPY")
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self.market_symbol_input.setFixedWidth(100)
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beta_controls_layout.addWidget(self.market_symbol_input)
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beta_controls_layout.addWidget(QLabel("Fenster (Tage):"))
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self.beta_window_input = QLineEdit("60")
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self.beta_window_input.setFixedWidth(50)
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beta_controls_layout.addWidget(self.beta_window_input)
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self.beta_apply_button = QPushButton("Anwenden")
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self.beta_apply_button.clicked.connect(self._plot_beta)
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beta_controls_layout.addStretch(1)
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layout.addLayout(beta_controls_layout)
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self.beta_canvas = MplCanvas(self.tab_beta, width=10, height=6)
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layout.addWidget(self.beta_canvas)
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self.beta_text = QLabel("Beta-Wert:")
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layout.addWidget(self.beta_text)
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def _load_initial_data(self):
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"""Lädt initial alle Symbole in die ComboBox."""
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symbols = self.db_manager.get_all_symbols()
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if not symbols:
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# Füge Standard-Symbole hinzu, wenn DB leer ist
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default_symbols = ["AAPL", "MSFT", "GOOGL"]
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for s in default_symbols:
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self.db_manager.add_stock(s)
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symbols = default_symbols # Aktualisiere die Liste
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# Optional: Initialdaten für Standard-Symbole holen
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# for s in symbols:
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# self.db_manager.fetch_and_store_data(s, period="1y")
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self.symbol_combo.clear()
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self.symbol_combo.addItems(symbols)
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if symbols:
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self._on_symbol_selected(0) # Wähle das erste Symbol aus und zeige Daten
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def _import_csv_and_fetch(self):
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"""Importiert Symbole aus CSV und holt Daten."""
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csv_file = self.csv_path_input.text()
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try:
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df_symbols = pd.read_csv(csv_file)
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imported_count = 0
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fetched_count = 0
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for index, row in df_symbols.iterrows():
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symbol = row['Symbol'].upper()
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company_name = row.get('CompanyName', '')
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if self.db_manager.add_stock(symbol, company_name):
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imported_count += 1
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if self.db_manager.fetch_and_store_data(symbol, period="max"): # Holt max. verfügbare Daten
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fetched_count += 1
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QMessageBox.information(self, "Import abgeschlossen",
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f"{imported_count} neue Symbole hinzugefügt.\n{fetched_count} Symbole aktualisiert/Daten geholt.")
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self._load_initial_data() # Symbole in ComboBox aktualisieren
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except FileNotFoundError:
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QMessageBox.warning(self, "Fehler", f"Datei '{csv_file}' nicht gefunden.")
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except KeyError:
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QMessageBox.warning(self, "Fehler", f"Die CSV-Datei muss Spalten 'Symbol' und optional 'CompanyName' enthalten.")
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except Exception as e:
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QMessageBox.critical(self, "Fehler", f"Ein unerwarteter Fehler ist aufgetreten: {e}")
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def _refresh_selected_stock_data(self):
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"""Holt aktuelle Daten für das gerade ausgewählte Symbol."""
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selected_symbol = self.symbol_combo.currentText()
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if selected_symbol:
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# Holen der neuesten Daten (yfinance holt automatisch nur die fehlenden)
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if self.db_manager.fetch_and_store_data(selected_symbol, period="max"):
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QMessageBox.information(self, "Aktualisiert", f"Daten für {selected_symbol} wurden aktualisiert.")
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self._on_symbol_selected(self.symbol_combo.currentIndex()) # Ansichten neu laden
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else:
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QMessageBox.warning(self, "Fehler", f"Konnte Daten für {selected_symbol} nicht aktualisieren.")
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else:
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QMessageBox.information(self, "Info", "Kein Symbol ausgewählt.")
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def _get_current_stock_data(self):
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"""Hilfsfunktion zum Abrufen der aktuellen Aktiendaten basierend auf Auswahl."""
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selected_symbol = self.symbol_combo.currentText()
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if not selected_symbol:
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return pd.DataFrame()
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start_date_q = self.start_date_edit.date()
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end_date_q = self.end_date_edit.date()
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start_date_str = start_date_q.toString("yyyy-MM-dd")
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end_date_str = end_date_q.toString("yyyy-MM-dd")
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data = self.db_manager.get_stock_data(selected_symbol, start_date_str, end_date_str)
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return data
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def _on_symbol_selected(self, index):
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"""Wird aufgerufen, wenn ein neues Symbol in der ComboBox ausgewählt wird."""
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self.plot_all_tabs()
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def plot_all_tabs(self):
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"""Aktualisiert alle Diagramme und Texte in den Tabs."""
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data = self._get_current_stock_data()
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if data.empty:
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self._clear_all_plots()
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self.overview_text.setText("Keine Daten verfügbar für das ausgewählte Symbol oder den Zeitraum.")
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self.returns_text.setText("Keine Daten verfügbar.")
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self.ma_text.setText("Keine Daten verfügbar.")
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self.vol_text.setText("Keine Daten verfügbar.")
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self.beta_text.setText("Keine Daten verfügbar.")
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return
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self._plot_overview(data)
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self._plot_returns(data)
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self._plot_ma(data) # Kann überschrieben werden, wenn MA-Button geklickt wird
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self._plot_volatility(data) # Kann überschrieben werden, wenn Vol-Button geklickt wird
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self._plot_beta(data) # Kann überschrieben werden, wenn Beta-Button geklickt wird
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def _clear_plot(self, canvas):
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"""Löscht einen Plot."""
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canvas.axes.clear()
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canvas.draw()
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def _clear_all_plots(self):
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self._clear_plot(self.overview_canvas)
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self._clear_plot(self.returns_canvas)
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self._clear_plot(self.ma_canvas)
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self._clear_plot(self.vol_canvas)
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self._clear_plot(self.beta_canvas)
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def _plot_overview(self, data):
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self._clear_plot(self.overview_canvas)
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ax = self.overview_canvas.axes
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ax.plot(data.index, data['adj_close'], label='Schlusskurs', color='blue')
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ax.set_title(f"{self.symbol_combo.currentText()} - Schlusskurs")
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ax.set_xlabel("Datum")
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ax.set_ylabel("Kurs")
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ax.legend()
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ax.grid(True)
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self.overview_canvas.draw()
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self.overview_text.setText(f"Aktueller Kurs: {data['adj_close'].iloc[-1]:.2f}\n"
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f"Datum: {data.index[-1].strftime('%Y-%m-%d')}\n"
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f"Anzahl Datenpunkte: {len(data)}")
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def _plot_returns(self, data):
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self._clear_plot(self.returns_canvas)
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ax = self.returns_canvas.axes
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# Sicherstellen, dass calculate_returns und calculate_cumulative_returns die Series erhalten
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# und die Ausgabe der calculate_returns Funktion in Dezimalwerten ist, nicht in Prozent.
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# Ich habe das in FinancialTools vorgeschlagen, falls du es dort nicht direkt *100 machst.
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# Hier ist es wichtig, dass 'data['adj_close']' übergeben wird.
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daily_returns = self.financial_tools.calculate_returns(data['adj_close'])
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cumulative_returns = self.financial_tools.calculate_cumulative_returns(data['adj_close'])
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if not daily_returns.empty:
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ax.plot(daily_returns.index, daily_returns, label='Tägliche Rendite', color='green', alpha=0.7)
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ax.set_title(f"{self.symbol_combo.currentText()} - Tägliche Renditen")
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ax.set_xlabel("Datum")
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ax.set_ylabel("Rendite (%)") # Hier ist "%" wichtig
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ax.grid(True)
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self.returns_canvas.draw()
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# Jetzt die Fehlerbehebung für die Textausgabe
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avg_daily_return = daily_returns.mean()
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# Überprüfe, ob es ein gültiger Zahlenwert ist, bevor formatiert wird
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avg_daily_return_str = f"{avg_daily_return:.4f}" if pd.notna(avg_daily_return) else "N/A"
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last_cumulative_return = cumulative_returns.iloc[-1]
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last_cumulative_return_str = f"{last_cumulative_return:.4f}" if pd.notna(last_cumulative_return) else "N/A"
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self.returns_text.setText(f"Durchschn. tägl. Rendite: {avg_daily_return_str}\n"
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f"Kumulierte Rendite (Gesamt): {last_cumulative_return_str}")
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else:
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self._clear_plot(self.returns_canvas)
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self.returns_text.setText("Nicht genügend Daten für Renditeberechnung.")
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def _plot_ma(self, data):
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self._clear_plot(self.ma_canvas)
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ax = self.ma_canvas.axes
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try:
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window = int(self.ma_window_input.text())
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except ValueError:
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QMessageBox.warning(self, "Eingabefehler", "Gleitender Durchschnitt: Fenster muss eine Zahl sein.")
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return
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ma = self.financial_tools.calculate_moving_average(data, window=window)
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if not ma.empty:
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ax.plot(data.index, data['adj_close'], label='Schlusskurs', color='blue', alpha=0.7)
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ax.plot(ma.index, ma, label=f'MA {window} Tage', color='red')
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ax.set_title(f"{self.symbol_combo.currentText()} - Gleitender Durchschnitt ({window} Tage)")
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ax.set_xlabel("Datum")
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ax.set_ylabel("Kurs")
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ax.legend()
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ax.grid(True)
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self.ma_canvas.draw()
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self.ma_text.setText(f"Gleitender Durchschnitt ({window} Tage) berechnet.")
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else:
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self._clear_plot(self.ma_canvas)
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self.ma_text.setText("Nicht genügend Daten für gleitenden Durchschnitt.")
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def _plot_volatility(self, data):
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self._clear_plot(self.vol_canvas)
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ax = self.vol_canvas.axes
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try:
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window = int(self.vol_window_input.text())
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except ValueError:
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QMessageBox.warning(self.tab_volatility, "Eingabefehler", "Volatilität: Fenster muss eine Zahl sein.")
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return
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volatility = self.financial_tools.calculate_volatility(data, window=window)
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if not volatility.empty:
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ax.plot(volatility.index, volatility, label=f'Volatilität {window} Tage (annualisiert)', color='purple')
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ax.set_title(f"{self.symbol_combo.currentText()} - Rollierende Volatilität ({window} Tage)")
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ax.set_xlabel("Datum")
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ax.set_ylabel("Volatilität (annualisiert)")
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ax.grid(True)
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self.vol_canvas.draw()
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self.vol_text.setText(f"Rollierende Volatilität ({window} Tage) berechnet.")
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else:
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self._clear_plot(self.vol_canvas)
|
||||
self.vol_text.setText("Nicht genügend Daten für Volatilitätsberechnung.")
|
||||
|
||||
|
||||
def _plot_beta(self, data):
|
||||
self._clear_plot(self.beta_canvas)
|
||||
ax = self.beta_canvas.axes
|
||||
market_symbol = self.market_symbol_input.text().upper()
|
||||
try:
|
||||
window = int(self.beta_window_input.text())
|
||||
except ValueError:
|
||||
QMessageBox.warning(self.tab_beta, "Eingabefehler", "Beta: Fenster muss eine Zahl sein.")
|
||||
return
|
||||
|
||||
if not market_symbol:
|
||||
QMessageBox.warning(self.tab_beta, "Eingabefehler", "Bitte geben Sie ein Markt-Symbol ein (z.B. SPY).")
|
||||
return
|
||||
|
||||
# Zuerst das Markt-Symbol zur DB hinzufügen und Daten holen, falls nicht vorhanden
|
||||
if not market_symbol in self.db_manager.get_all_symbols():
|
||||
if not self.db_manager.add_stock(market_symbol):
|
||||
QMessageBox.warning(self.tab_beta, "Datenfehler", f"Ungültiges Markt-Symbol: {market_symbol}")
|
||||
self._clear_plot(self.beta_canvas)
|
||||
self.beta_text.setText("Ungültiges Markt-Symbol.")
|
||||
return
|
||||
if not self.db_manager.fetch_and_store_data(market_symbol, period="max"):
|
||||
QMessageBox.warning(self.tab_beta, "Datenfehler", f"Konnte Daten für Markt-Symbol {market_symbol} nicht holen.")
|
||||
self._clear_plot(self.beta_canvas)
|
||||
self.beta_text.setText("Keine Marktdaten verfügbar.")
|
||||
return
|
||||
|
||||
start_date_q = self.start_date_edit.date()
|
||||
end_date_q = self.end_date_edit.date()
|
||||
start_date_str = start_date_q.toString("yyyy-MM-dd")
|
||||
end_date_str = end_date_q.toString("yyyy-MM-dd")
|
||||
|
||||
market_data = self.db_manager.get_stock_data(market_symbol, start_date_str, end_date_str)
|
||||
|
||||
if market_data.empty:
|
||||
QMessageBox.warning(self.tab_beta, "Datenfehler", f"Keine Daten für Markt-Symbol {market_symbol} im angegebenen Zeitraum.")
|
||||
self._clear_plot(self.beta_canvas)
|
||||
self.beta_text.setText("Keine Marktdaten für Beta-Berechnung.")
|
||||
return
|
||||
|
||||
beta = self.financial_tools.calculate_beta(data, market_data, window=window)
|
||||
|
||||
if not beta.empty:
|
||||
ax.plot(beta.index, beta, label=f'Beta vs {market_symbol} ({window} Tage)', color='orange')
|
||||
ax.set_title(f"{self.symbol_combo.currentText()} - Rollierendes Beta vs {market_symbol} ({window} Tage)")
|
||||
ax.set_xlabel("Datum")
|
||||
ax.set_ylabel("Beta")
|
||||
ax.axhline(1, color='gray', linestyle='--', linewidth=0.8, label='Beta = 1')
|
||||
ax.legend()
|
||||
ax.grid(True)
|
||||
self.beta_canvas.draw()
|
||||
self.beta_text.setText(f"Rollierendes Beta ({window} Tage) vs {market_symbol} berechnet. Aktuelles Beta: {beta.iloc[-1]:.2f}")
|
||||
else:
|
||||
self._clear_plot(self.beta_canvas)
|
||||
self.beta_text.setText("Nicht genügend Daten für Beta-Berechnung. Stellen Sie sicher, dass sowohl Aktie als auch Markt ausreichend historische Daten haben.")
|
||||
|
||||
|
||||
def closeEvent(self, event):
|
||||
"""Wird aufgerufen, wenn das Fenster geschlossen wird."""
|
||||
self.db_manager.close()
|
||||
event.accept()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app = QApplication(sys.argv)
|
||||
window = StockAnalyzer()
|
||||
window.show()
|
||||
sys.exit(app.exec())
|
||||
Reference in New Issue
Block a user