Stock-Market-Analysis

Unverified ML strategy on Indices by ilitzkyd. BotFinder score 18 out of 100.

This Python script provides two main functionalities: stock and economic indicators analysis. It utilizes the Yahoo Finance to fetch historical stock price data for multiple ticker

Source: github

Explorer/Indices/Stock-Market-Analysis
18
Data index
IndicesMLMedium risk⚠ Unverified

Stock-Market-Analysis

ilitzkydGitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
3.3y
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About

Stock-Market-Analysis

Stock Correlation and Economic Indicators This Jupyter notebook contains two classes, StockAnalysis and CorrelationVisualizer, designed to help with the analysis of stock data and visualization of correlations between stock prices and economic indicators. Stock Analysis The StockAnalysis class fetches historical stock data from Yahoo Finance, calculates Bollinger Bands, identifies bullish and bearish signals, and creates visualizations using Plotly. Requirements - Python 3.x - pandas - yfinance - plotly - prophet Usage 1. Open the stockcorrelationeconomicindicators.ipynb notebook. 2. Make sure you have the required libraries installed (you can install them using !pip install pandas yfinance plotly prophet). 3. In the StockAnalysis class, initialize the object with your desired list of stock tickers and the date range for historical data. 4. Run the cells to perform the analysis and visualize the results. Correlation Visualizer The CorrelationVisualizer class fetches economic indicator data from FRED API and stock price data from Yahoo Finance for the specified tickers. It then calcul

Jupyter NotebookOpen-sourcealgorithmic-tradingeconomic-indicatorsfred-apimachine-learningpythonstocks
Track record

⚠ No verified equity curve — no track-record source connected.

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Live-audited
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Recalculated at each data collection. Transparency means showing the bad weeks too.

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Source
ilitzkyd
Since 2022 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars19
Forks2
Open issues1
LanguageJupyter Notebook
License—
Last update2023-08-21
Created2023-06-28
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