File size: 2,799 Bytes
3670b47
 
56daaee
3670b47
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from crewai import Agent
from crewai_tools import ScrapeWebsiteTool, SerperDevTool

scrape_tool = ScrapeWebsiteTool()
search_tool = SerperDevTool()

def get_data_analyst_agent():
    return Agent(
        role="Data Analyst",
        goal="Monitor and analyze market data in real-time "
             "to identify trends and predict market movements.",
        backstory="Specializing in financial markets, this agent "
                  "uses statistical modeling and machine learning "
                  "to provide crucial insights. With a knack for data, "
                  "the Data Analyst Agent is the cornerstone for "
                  "informing trading decisions.",
        verbose=True,
        allow_delegation=True,
        tools = [scrape_tool, search_tool]
    )

def get_trading_strategy_agent():
    return Agent(
        role="Trading Strategy Developer",
        goal="Develop and test various trading strategies based "
             "on insights from the Data Analyst Agent.",
        backstory="Equipped with a deep understanding of financial "
                  "markets and quantitative analysis, this agent "
                  "devises and refines trading strategies. It evaluates "
                  "the performance of different approaches to determine "
                  "the most profitable and risk-averse options.",
        verbose=True,
        allow_delegation=True,
        tools = [scrape_tool, search_tool]
    )

def get_execution_agent():
    return Agent(
        role="Trade Advisor",
        goal="Suggest optimal trade execution strategies "
             "based on approved trading strategies.",
        backstory="This agent specializes in analyzing the timing, price, "
                  "and logistical details of potential trades. By evaluating "
                  "these factors, it provides well-founded suggestions for "
                  "when and how trades should be executed to maximize "
                  "efficiency and adherence to strategy.",
        verbose=True,
        allow_delegation=True,
        tools = [scrape_tool, search_tool]
    )

def get_risk_management_agent():
    return Agent(
        role="Risk Advisor",
        goal="Evaluate and provide insights on the risks "
             "associated with potential trading activities.",
        backstory="Armed with a deep understanding of risk assessment models "
                  "and market dynamics, this agent scrutinizes the potential "
                  "risks of proposed trades. It offers a detailed analysis of "
                  "risk exposure and suggests safeguards to ensure that "
                  "trading activities align with the firm’s risk tolerance.",
        verbose=True,
        allow_delegation=True,
        tools = [scrape_tool, search_tool]
    )