Spaces:
Sleeping
Sleeping
Add yf_get_atm_straddle_price
Browse files- app.py +75 -1
- requirements.txt +2 -1
app.py
CHANGED
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@@ -4,6 +4,7 @@ import requests
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import pytz
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import yaml
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import yfinance as yf
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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@@ -49,6 +50,79 @@ def yf_get_ticker_price(ticker: str) -> float:
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data = yf.Ticker(ticker).history(period="1d")
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return float(data["Close"].iloc[-1])
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ddgs = DuckDuckGoSearchTool();
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final_answer = FinalAnswerTool()
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@@ -72,7 +146,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[final_answer, ddgs, yf_get_ticker_price], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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import pytz
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import yaml
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import yfinance as yf
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from typing import Dict, Any
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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data = yf.Ticker(ticker).history(period="1d")
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return float(data["Close"].iloc[-1])
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@tool
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def yf_get_atm_straddle_price(ticker: str) -> Dict[str, Any]:
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"""
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Calculate the price of the at-the-money (ATM) straddle for a given stock ticker,
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including the implied volatility (IV) of the ATM call and put options. The ATM
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strike is defined as the strike closest to the current underlying price, using
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the nearest available expiration date.
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Args:
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ticker (str): The stock ticker symbol, e.g., AAPL.
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Returns:
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Dict[str, Any]: A dictionary containing:
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- 'underlying_price' (float): The current stock price.
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- 'expiration' (str): The nearest option expiration date used.
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- 'strike' (float): The ATM strike price selected.
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- 'call_price' (float): The last traded price of the ATM call option.
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- 'put_price' (float): The last traded price of the ATM put option.
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- 'call_iv' (float): The implied volatility of the ATM call option.
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- 'put_iv' (float): The implied volatility of the ATM put option.
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- 'straddle_price' (float): The total ATM straddle price (call + put).
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"""
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stock = yf.Ticker(ticker)
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# Get current underlying price
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hist = stock.history(period="1d")
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if hist.empty:
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return {"error": f"No price data found for {ticker}."}
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underlying_price = float(hist["Close"].iloc[-1])
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# Get option expiration dates
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expirations = stock.options
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if not expirations:
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return {"error": f"No options data available for {ticker}."}
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# Use the nearest expiration
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expiration = expirations[0]
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opt_chain = stock.option_chain(expiration)
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calls = opt_chain.calls
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puts = opt_chain.puts
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if calls.empty or puts.empty:
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return {"error": f"Options chain incomplete for {ticker} on {expiration}."}
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# Find ATM strike
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calls["diff"] = (calls["strike"] - underlying_price).abs()
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atm_strike = float(calls.sort_values("diff").iloc[0]["strike"])
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# Extract ATM call and put rows
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call_row = calls[calls["strike"] == atm_strike].iloc[0]
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put_row = puts[puts["strike"] == atm_strike].iloc[0]
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call_price = float(call_row.get("lastPrice", 0.0))
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put_price = float(put_row.get("lastPrice", 0.0))
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call_iv = float(call_row.get("impliedVolatility", 0.0))
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put_iv = float(put_row.get("impliedVolatility", 0.0))
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straddle_price = call_price + put_price
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return {
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"underlying_price": underlying_price,
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"expiration": expiration,
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"strike": atm_strike,
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"call_price": call_price,
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"put_price": put_price,
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"call_iv": call_iv,
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"put_iv": put_iv,
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"straddle_price": straddle_price,
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}
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ddgs = DuckDuckGoSearchTool();
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final_answer = FinalAnswerTool()
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agent = CodeAgent(
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model=model,
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tools=[final_answer, ddgs, yf_get_ticker_price, yf_get_atm_straddle_price], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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requirements.txt
CHANGED
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@@ -3,4 +3,5 @@ smolagents==1.13.0
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| 3 |
requests
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| 4 |
duckduckgo_search
|
| 5 |
pandas
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-
yfinance
|
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|
|
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| 3 |
requests
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| 4 |
duckduckgo_search
|
| 5 |
pandas
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+
yfinance
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+
typing
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