File size: 2,576 Bytes
d6269a1
93fc605
d6269a1
93fc605
b3d6c85
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from crewai import Task

from agents import get_data_analyst_agent, get_trading_strategy_agent, get_execution_agent, get_risk_management_agent

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(),
    )