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Update app.py
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app.py
CHANGED
@@ -10,8 +10,7 @@ url_stocks = "https://financialmodelingprep.com/api/v3/stock/list?apikey="
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url_sentiment = "https://yaakovy-fin-proj-docker.hf.space/ticker/"
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url_timeGpt = "https://ofirmatzlawi-fin-proj-docker-1.hf.space/ticker/"
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url_forecast_eod = "https://yaakovy-lasthourforcast.hf.space/ticker/"
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def get_max_sentiment(row):
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if row["sentiment_score"] > 0.05: # Threshold for positive sentiment
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@@ -22,7 +21,6 @@ def get_max_sentiment(row):
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return "neutral"
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def get_sentiment_data(stock_info):
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symbol = stock_info.info['symbol']
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url_sentiment_with_ticker = f"{url_sentiment}{symbol}"
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@@ -44,18 +42,29 @@ def print_sentiment(stock_info):
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return df
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def get_eod_forecast(stock_info):
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symbol = stock_info.info['symbol']
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url_forecast_eod_with_ticker = f"{url_forecast_eod}{symbol}"
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response = requests.get(url_forecast_eod_with_ticker)
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if response.status_code == 200:
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json_data = json.loads(response.json())
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eod_forecast = json_data["latest_prediction"]
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return eod_forecast
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else:
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return
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def print_sentiment_summery(df) :
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column_name = "sentiment"
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@@ -91,13 +100,12 @@ def get_stock_info_from_html(stock_info):
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f"<b>Stock Price: </b> {si['currentPrice']} {str(si['financialCurrency'])}")
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return text
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def get_forecast_html(stock_info):
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currentPrice = stock_info.info['currentPrice']
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eod_forecast = get_eod_forecast(stock_info)
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#st.write(eod_forecast)
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#eod_forecast = float(get_eod_forecast(stock_info))
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#st.write(type(eod_forecast))
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eod_forecast_price = currentPrice * (1 + eod_forecast/100)
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color = 'red' if eod_forecast < 0 else 'green'
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mark = '+' if eod_forecast >= 0 else '-'
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@@ -107,7 +115,17 @@ def get_forecast_html(stock_info):
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return html
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def plot_graph(stock_info):
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period = st.session_state.chart_time_frame or "5Y"
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@@ -202,5 +220,6 @@ with st.spinner('Wait for it...'):
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df = print_sentiment(stock_info)
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st.write(f"<H6>Sentiment summery</H6>", unsafe_allow_html=True)
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print_sentiment_summery(df)
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st.write(f"<H4>
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st.write(get_forecast_html(stock_info), unsafe_allow_html=True)
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url_sentiment = "https://yaakovy-fin-proj-docker.hf.space/ticker/"
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url_timeGpt = "https://ofirmatzlawi-fin-proj-docker-1.hf.space/ticker/"
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url_forecast_eod = "https://yaakovy-lasthourforcast.hf.space/ticker/"
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url_forecast_eod24 = "https://ofirmatzlawi-fin-proj-docker-2.hf.space/ticker/"
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def get_max_sentiment(row):
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if row["sentiment_score"] > 0.05: # Threshold for positive sentiment
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return "neutral"
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def get_sentiment_data(stock_info):
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symbol = stock_info.info['symbol']
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url_sentiment_with_ticker = f"{url_sentiment}{symbol}"
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return df
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def get_eod_forecast24(stock_info):
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symbol = stock_info.info['symbol']
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url_forecast_eod_with_ticker = f"{url_forecast_eod24}{symbol}"
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response = requests.get(url_forecast_eod_with_ticker)
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if response.status_code == 200:
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eod_forecast = json.loads(response.json())
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#st.write(json_data)
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#eod_forecast = json_data["latest_prediction"]
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return eod_forecast
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else:
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return
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def get_eod_forecast(stock_info):
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symbol = stock_info.info['symbol']
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url_forecast_eod_with_ticker = f"{url_forecast_eod}{symbol}"
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response = requests.get(url_forecast_eod_with_ticker)
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if response.status_code == 200:
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json_data = json.loads(response.json())
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eod_forecast = json_data["latest_prediction"]
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return eod_forecast
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else:
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return
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def print_sentiment_summery(df) :
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column_name = "sentiment"
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f"<b>Stock Price: </b> {si['currentPrice']} {str(si['financialCurrency'])}")
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return text
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def get_forecast_html(stock_info):
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currentPrice = stock_info.info['currentPrice']
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eod_forecast = get_eod_forecast(stock_info)
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eod_forecast_price = currentPrice * (1 + eod_forecast/100)
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color = 'red' if eod_forecast < 0 else 'green'
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mark = '+' if eod_forecast >= 0 else '-'
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return html
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def get_forecast_html24(stock_info):
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currentPrice = stock_info.info['currentPrice']
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eod_forecast = get_eod_forecast24(stock_info)
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eod_forecast_price = currentPrice * (1 + eod_forecast/100)
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color = 'red' if eod_forecast < 0 else 'green'
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mark = '+' if eod_forecast >= 0 else '-'
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eod_forecast_p = abs(round(eod_forecast, 2))
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html = (f"<b>EOD Tomorrow Close Price: </b> <span style='color:{color};'> {eod_forecast_price:.2f} </span>   <span style='color:{color};'> {mark}{eod_forecast_p}% </span> ")
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return html
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def plot_graph(stock_info):
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period = st.session_state.chart_time_frame or "5Y"
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df = print_sentiment(stock_info)
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st.write(f"<H6>Sentiment summery</H6>", unsafe_allow_html=True)
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print_sentiment_summery(df)
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st.write(f"<H4>Forecasting</H4>", unsafe_allow_html=True)
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st.write(get_forecast_html(stock_info), unsafe_allow_html=True)
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st.write(get_forecast_html24(stock_info), unsafe_allow_html=True)
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