Spaces:
Running
Running
File size: 2,837 Bytes
d6269a1 93fc605 d6269a1 93fc605 3ea38bc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
from crewai import Task
from agents import get_data_analyst_agent, get_trading_strategy_agent, get_execution_agent, get_risk_management_agent
class Tasks:
def get_data_analysis_task():
# Task for Data Analyst Agent: Analyze Market Data
data_analysis_task = Task(
description=(
"Continuously monitor and analyze market data for "
"the selected stock ({stock_selection}). "
"Use statistical modeling and machine learning to "
"identify trends and predict market movements."
),
expected_output=(
"Insights and alerts about significant market "
"opportunities or threats for {stock_selection}."
),
agent=get_data_analyst_agent(),
)
def get_strategy_development_task():
# Task for Trading Strategy Agent: Develop Trading Strategies
strategy_development_task = Task(
description=(
"Develop and refine trading strategies based on "
"the insights from the Data Analyst and "
"user-defined risk tolerance ({risk_tolerance}). "
"Consider trading preferences ({trading_strategy_preference})."
),
expected_output=(
"A set of potential trading strategies for {stock_selection} "
"that align with the user's risk tolerance."
),
agent=get_trading_strategy_agent(),
)
def get_execution_planning_task():
# Task for Trade Advisor Agent: Plan Trade Execution
execution_planning_task = Task(
description=(
"Analyze approved trading strategies to determine the "
"best execution methods for {stock_selection}, "
"considering current market conditions and optimal pricing."
),
expected_output=(
"Detailed execution plans suggesting how and when to "
"execute trades for {stock_selection}."
),
agent=get_execution_agent(),
)
def get_risk_assessment_task():
# Task for Risk Advisor Agent: Assess Trading Risks
return = Task(
description=(
"Evaluate the risks associated with the proposed trading "
"strategies and execution plans for {stock_selection}. "
"Provide a detailed analysis of potential risks "
"and suggest mitigation strategies."
),
expected_output=(
"A comprehensive risk analysis report detailing potential "
"risks and mitigation recommendations for {stock_selection}."
),
agent=get_risk_management_agent(),
) |