maria-aboulaala

Quant engineer

Pinned Repositories

algo_trading_crypto_binance
random try
00
Algorithmic-Trading
Purely quantitative algorithmic trading in MQL5
Language:MQL500
algorithmic_trading
Language:Jupyter Notebook10
application_web_simulation_monte_carlo
Language:Python20
credit-card-fraud-detection
Language:Jupyter Notebook00
Pairs_trading
A full code of a pairs trading strategy in crypto
Language:Python10
portofolio
Language:HTML00
portofolio_optimizer
Language:Jupyter Notebook20
Quant-Final-Project-Statistical-Arbitrage
QuantInsti EPAT: Final Project on Statistical Arbitrage
Language:R10
twitter-sentiment-analysis
Language:Jupyter Notebook00

maria-aboulaala's Repositories

maria-aboulaala/Pairs_trading
A full code of a pairs trading strategy in crypto
Language:Python10
maria-aboulaala/AlgoTrading
69billion
maria-aboulaala/awesome-dash
A curated list of awesome Dash (plotly) resources
maria-aboulaala/awesome-github-profile-readme-templates
This repository contains best profile readme's for your reference.
maria-aboulaala/Black-Litterman-portofolio-optimisation-using-machine-learning
maria-aboulaala/concepttest
Free Bootstrap 4 admin dashboard template
Language:HTML
maria-aboulaala/Crypto_price_prediction
Language:Python
maria-aboulaala/DARK-VENUS-MIMAS-BACKTEST
Language:Jupyter Notebook
maria-aboulaala/EA31337
🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms
maria-aboulaala/factsheets_html_css
69 try
maria-aboulaala/factsheets_wiwi
Language:Python1
maria-aboulaala/Fin-Maestro-Web
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
maria-aboulaala/Forex-pips-prediction
Language:Jupyter Notebook
maria-aboulaala/ICT_Concepts
Language:Python
maria-aboulaala/LSTM-Cryptocurrency-Price-prediction
maria-aboulaala/LSTM-test
Language:Jupyter Notebook
maria-aboulaala/LSTM_prediction_stock_market
This project implements an LSTM (Long Short-Term Memory) model for predicting the future trends of the NASDAQ 100 index. The model is trained using different combinations of hyperparameters to find the best configuration for accurate predictions.
maria-aboulaala/maria-aboulaala
1
maria-aboulaala/Meta_analysis
Language:HTML
maria-aboulaala/metatrader5
Implementation of Trading Strategies for Backtesting in MetaTrader 5
maria-aboulaala/Option_pricing_project
Language:Python
maria-aboulaala/pair-trading-in-cryptocurrency
Language:Python
maria-aboulaala/pairs_trading_forex
Language:Python
maria-aboulaala/portofolio_school_project
maria-aboulaala/Pricing-of-a-European-Call-option
option pricing using stochastic calculus
Language:Python
maria-aboulaala/Quantitative_Strategies
This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm.
maria-aboulaala/SAStocks
Sentiment Analysis of Stocks using Chat GPT and Vader (Python)
maria-aboulaala/Statistical_arbitrage_in_crypto
pairs trading strategy in crypto market
maria-aboulaala/Stocks_portofolio_weights
Composition d’un portefeuille Calcul de ses statistiques Test de normalité Determination de la variance minimal Frontiere efficiente
Language:Jupyter Notebook
maria-aboulaala/Yeild_curve_interpolation
Language:Jupyter Notebook