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```python
from flask import Flask, request, jsonify
from crewai import Crew
from textwrap import dedent
from stock_analysis_agents import StockAnalysisAgents
from stock_analysis_tasks import St…
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Sentiment Analysis:
Using transformer-based models like BERT or DistilBERT for sentiment analysis is a good choice, especially considering their effectiveness in capturing contextual information. I…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Performing a comprehensive data analysis on a dataset of stock information for various maj…
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Whether this system can make a fuss about financial analysis, or as part of an invoicing system, I mainly want to add some elements of financial analysis.
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Credit card fraud is a significant issue that affects both consumers and financial institu…
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**Is your feature request related to a problem? Please describe.**
Yes, accurately predicting stock prices can help investors make informed decisions, potentially increasing returns and minimizing …
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Objective: Apply a traditional approach using different models such as Auto Regression, Moving Average, Random walk to do time series analysis on different stock datasets and prediction for the datas…
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I suggest adding the sites associated with two books by Ruey Tsay to the Related Links section.
An Introduction to Analysis of Financial Data with R
https://faculty.chicagobooth.edu/ruey-s-tsay/re…
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Description: This epic focuses on creating a single source of truth for all financial data, allowing for improved visibility and real-time decision-making.
User Stories:
As a financial analyst, I want…
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Related to your post on htmlwidgets (adn DiagrammeR) I was wondering if this approach could be used to create and analyze decision trees (NOT the 'random forest' type but the decision analysis type ht…
vnijs updated
9 years ago