-
AI-Based Stock Predictor
**Overview**
The AI-Based Stock Predictor uses machine learning to forecast stock prices based on historical data. This project leverages advanced algorithms to analyze past…
-
## 🐛 Bug
We have got two identical two-socket servers on Intel Xeon E5-2650v4 with 256 GB RAM, one running Ubuntu and the other running Windows Server 2012. There is a severe degradation of a model…
ghost updated
7 months ago
-
To enhance monitoring capabilities of our stock-checking scraper, we need to implement a comprehensive statistics tracking system along with a terminal-based graphical user interface (GUI). This syste…
-
# Simple Regression Analysis
This Jupyter Notebook demonstrates simple regression techniques applied to stock data. It uses Python libraries to fetch stock data, prepare it, and apply linear regres…
-
**### Title: Issue with Stock Price Prediction Model**
**Description:**
I am encountering issues with the stock price prediction model implemented in the Jupyter Notebook. The model aims to pred…
-
### Describe the issue
Llama 3 8B cannot run the AutoGen Studio examples successfully like plotting stock price or sin wave while GPT 4 ran AutoGen Studio examples successfully. Is it classified as …
-
### Title
Text representation for direction prediction of share market
### Team Name
Stocks Savvy
### Email
202318035@daiict.ac.in
### Team Member 1 Name
Ashutosh Anand
### Team Me…
-
### Issue Title: Implement Infosys Stock Prediction using Bi-LSTM with Conv-1D
#### Description:
Develop a project to predict Infosys stock prices using a Bi-LSTM model combined with Conv-1D. The …
-
Key Analytics Features
1. Portfolio Performance
-Track the performance of the user's portfolio over time.
-Show gains/losses, average returns, and risk metrics.
2. Stock Performance
-Prov…
-
I've been giving some thought about implementing some form of pre-load patching ability for KSPCF.
Main motivations :
- Lifting runtime-patching limitations : unreliable generics support, perform…