from flask import Flask, render_template, request import requests from sqlalchemy import create_engine, Column, Integer, String, Float from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker # Configure Flask app app = Flask(__name__) # Configure database connection details (replace with your credentials) SQLALCHEMY_DATABASE_URI = 'sqlite:///mydatabase.db' engine = create_engine(SQLALCHEMY_DATABASE_URI) Base = declarative_base() # Define database model for storing stock data (optional) class StockPrice(Base): __tablename__ = "stock_prices" id = Column(Integer, primary_key=True) symbol = Column(String(10), nullable=False) price = Column(Float, nullable=False) def __repr__(self): return f"Stock(symbol='{self.symbol}', price={self.price})" # Create all tables (if they don't exist) Base.metadata.create_all(engine) # Create a database session for interacting with the database SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) def get_top_movers(): """Fetches top gainers, losers, and most active tickers from Alpha Vantage API.""" api_key = 'V08DMK7LDDV3I7TO' # Replace with your actual Alpha Vantage API key url = f'https://www.alphavantage.co/query?function=TOP_GAINERS_LOSERS&apikey={api_key}' try: response = requests.get(url) response.raise_for_status() data = response.json() # Log the response data for debugging purposes print("API Response:", data) return data except requests.RequestException as e: print(f"Error retrieving top movers data: {e}") return None @app.route("/") def index(): top_movers = get_top_movers() gainers, losers, active = None, None, None if top_movers: gainers = top_movers.get("top_gainers", []) losers = top_movers.get("top_losers", []) active = top_movers.get("most_actively_traded", []) return render_template("index.html", gainers=gainers, losers=losers) if __name__ == "__main__": app.run(debug=True) 

         {% if gainers %} 
Top Gainers
 
 {% for gainer in gainers %} 
{{ gainer['Symbol'] }} ({{ gainer['Change Percent'] }})
 {% endfor %} 
 {% elif losers %} 
Top Losers
 
 {% for loser in losers %} 
{{ loser['Symbol'] }} ({{ loser['Change Percent'] }})
 {% endfor %} 
 {% else %} 
Error retrieving top movers data.
 {% endif %}   

from flask import Flask, render_template, request import requests from sqlalchemy import create_engine, Column, Integer, String, Float from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker # Configure Flask app app = Flask(__name__) # Configure database connection details (replace with your credentials) SQLALCHEMY_DATABASE_URI = 'sqlite:///mydatabase.db' engine = create_engine(SQLALCHEMY_DATABASE_URI) Base = declarative_base() # Define database model for storing stock data (optional) class StockPrice(Base): __tablename__ = "stock_prices" id = Column(Integer, primary_key=True) symbol = Column(String(10), nullable=False) price = Column(Float, nullable=False) def __repr__(self): return f"Stock(symbol='{self.symbol}', price={self.price})" # Create all tables (if they don't exist) Base.metadata.create_all(engine) # Create a database session for interacting with the database SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) def get_top_movers(): """Fetches top gainers, losers, and most active tickers from Alpha Vantage API.""" api_key = 'V08DMK7LDDV3I7TO' # Replace with your actual Alpha Vantage API key url = f'https://www.alphavantage.co/query?function=TOP_GAINERS_LOSERS&apikey={api_key}' try: response = requests.get(url) response.raise_for_status() data = response.json() # Log the response data for debugging purposes print("API Response:", data) return data except requests.RequestException as e: print(f"Error retrieving top movers data: {e}") return None @app.route("/") def index(): top_movers = get_top_movers() gainers, losers, active = None, None, None if top_movers: gainers = top_movers.get("top_gainers", []) losers = top_movers.get("top_losers", []) active = top_movers.get("most_actively_traded", []) return render_template("index.html", gainers=gainers, losers=losers, active=active) if __name__ == "__main__": app.run(debug=True) 

         {% if top_gainers %} 
Top Gainers
 
 {% for gainer in top_gainers %} 
{{ gainer['Symbol'] }} ({{ gainer['Change Percent'] }})
 {% endfor %} 
 {% elif top_losers %} 
Top Losers
 
 {% for loser in top_losers %} 
{{ loser['Symbol'] }} ({{ loser['Change Percent'] }})
 {% endfor %} 
 {% else %} 
Error retrieving top movers data.
 {% endif %}   

...... 'change_amount': '2.87', 'change_percentage': '14.7558%', 'volume': '65114509'}, {'ticker': 'GTBP', 'price': '7.8', 'change_amount': '4.68', 'change_percentage': '150.0%', 'volume': '64541722'}, {'ticker': 'TANH', 'price': '0.97', 'change_amount': '0.313', 'change_percentage': '47.6408%', 'volume': '63775266'}, {'ticker': 'JAGX', 'price': '0.1686', 'change_amount': '-0.0899', 'change_percentage': '-34.7776%', 'volume': '62268819'}]} 127.0.0.1 - - [21/May/2024 14:09:01] "GET / HTTP/1.1" 200 - 

Current Hedge Fund Actions

1. Short Covering and Losses: Many hedge funds that held short positions in FFIE have been forced to cover these positions to avoid further losses, contributing to the stock's price spike. The high short interest, similar to the GameStop saga, has made FFIE a prime target for a short squeeze oai_citation:1, Is a Giant Short Squeeze Brewing in Faraday Future (FFIE) Stock? InvestorPlace oai_citation:2, Why Is Faraday Future (FFIE) Stock Up 380% Today? InvestorPlace .
   
2. Buying to Capitalize on the Rally: Some hedge funds have taken advantage of the rising prices by acquiring significant positions in FFIE. For instance, Renaissance Technologies increased their stakes in other meme stocks like GameStop and AMC ahead of their rallies, positioning themselves to benefit from the speculative surge oai_citation:3,Renaissance acquired GameStop and AMC shares ahead of meme stock rally - Hedgeweek.
   
3. Event-Driven Strategies: Hedge funds are employing event-driven strategies to capitalize on the extreme volatility. These strategies involve making quick trades to profit from short-term price movements triggered by high trading volumes and retail investor activities oai_citation:4,2024 Hedge Fund Outlook: What Investors Need to Know oai_citation:5,Hedge Funds Are Dumping Tech at the Fastest Pace in Months.
   

Hedge Fund Strategies and Predictions

1. Increased Volatility Management: Hedge funds will likely enhance their risk management practices to better handle the extreme volatility seen in stocks like FFIE. This includes adjusting their exposure and using hedging techniques to mitigate potential losses oai_citation:6,2024 Outlook: Hedge Funds oai_citation:7,Is The New Meme Stock Rally Led By GME, AMC A Repeat Of 2021? Vanda Research Says No: 'Chances We Reach That Stage Are Low' - GameStop (NYSE:GME) - Benzinga.
   
2. Opportunistic Buying and Selling: Some hedge funds might adopt a more opportunistic approach, buying into the stock during dips and selling during peaks to maximize short-term gains. This is evident from the buying patterns observed in Renaissance Technologies and other funds during the GameStop and AMC rallies oai_citation:8,Renaissance acquired GameStop and AMC shares ahead of meme stock rally - Hedgeweek.
   
3. Potential for Reduced Shorting: Given the heavy losses incurred by funds like Melvin Capital during the 2021 meme stock frenzy, hedge funds may become more cautious with their short positions in highly speculative stocks. This could lead to a reduction in aggressive shorting activities to avoid similar pitfalls oai_citation:9,Is The New Meme Stock Rally Led By GME, AMC A Repeat Of 2021? Vanda Research Says No: 'Chances We Reach That Stage Are Low' - GameStop (NYSE:GME) - Benzinga.
   

Historical Context and Future Outlook