Loading...
Skip to content

All about Artificial Intelligence and Machine Learning for Banking, Finance and Trading

Arificial Intelligence and Machine Learning for Finance and Banks

    • Home
    • Who we are
    • Articles
    • Consulting and Development
    • Privacy Policy
    • Glossary
    • Blog
    • Contacts
    • What we do
  • Tag Cloud

    • Stock (98)
    • Trading (81)
    • Analysis (18)
    • Strategy (17)
    • Algorithmic (12)
    • python (11)
    • Deep Learning (11)
    • Indicator (10)
    • Neural Network (10)
    • Prices (10)
    • Time Series (10)
    • Portfolio (10)
    • Quantitative (10)
    • Price (9)
    • Algorithm (8)
    • BitCoin (7)
    • Indicators (7)
    • market (6)
    • Forecasting (6)
    • Trade (6)
    • API (6)
    • LSTM (6)
    • Models (6)
    • Optimization (5)
    • Test (4)
    • Visualization (3)
    • ARIMA (3)
    • Patterns (3)
    • Dashboard (3)
    • Sentiment (3)
    • RSI (3)
    • News (3)
    • prediction (3)
    • Economic (2)
    • Companies (2)
    • Returns (2)
    • Performance (2)
    • Detection (2)
    • bank (2)
    • Volatility (2)
    • Genetic (2)
    • Open Source (2)
    • Clustering (2)
    • Apple (2)
    • Transdimensional (2)

    RSS

    Subscribe RSS updates

    Categories

    • Auction
    • Automatization
    • Banks
    • Big Data
    • Bots
    • Crypto
    • Data
    • FX
    • Investing
    • Learning
    • Loans
    • Market
    • Politic
    • Prediction
    • Quantum
    • Risk
    • Startups
    • Statistics
    • Technologies
    • Tools
    • TOP
    • Uncategorized
    • Virtual Assistant

    Tags

    • Stock (98)
    • Trading (81)
    • Analysis (18)
    • Strategy (17)
    • Algorithmic (12)
    • python (11)
    • Deep Learning (11)
    • Indicator (10)
    • Neural Network (10)
    • Prices (10)
    • Time Series (10)
    • Portfolio (10)
    • Quantitative (10)
    • Price (9)
    • Algorithm (8)
    • BitCoin (7)
    • Indicators (7)
    • market (6)
    • Forecasting (6)
    • Trade (6)
    • API (6)
    • LSTM (6)
    • Models (6)
    • Optimization (5)
    • Test (4)
    • Visualization (3)
    • ARIMA (3)
    • Patterns (3)
    • Dashboard (3)
    • Sentiment (3)
    • RSI (3)
    • News (3)
    • prediction (3)
    • Economic (2)
    • Companies (2)
    • Returns (2)
    • Performance (2)
    • Detection (2)
    • bank (2)
    • Volatility (2)
    • Genetic (2)
    • Open Source (2)
    • Clustering (2)
    • Apple (2)
    • Transdimensional (2)

    Recent Posts

    • The Best Python Packages for Algorithmic Trading
    • Machine Learning Stocks in python: a starter project and guide
    • AI for Trading
    • Deep Reinforcement Learning for Trading Cryptocurrencies
    • Open Source Investment Research for Everyone

    Recent Comments

    • Pavlo Sidelov on Comparing the best free financial market data APIs
    • Cristian Pasa on Comparing the best free financial market data APIs
    • YERBIC2262 on Trading Dashboard with Yfinance & Python.

Algorithmic Trading with Economics Driven Deep Learning

Posted on February 5, 2021February 5, 2021Market, TOP

Incorporating macro-economic theories in deep learning models Source

Read more ⟶

Stock Price Prediction Using Sentiment Analysis and Historical Stock Data

Posted on February 3, 2021February 3, 2021Prediction

Source

Read more ⟶

Trading Gold with Scikit-Learn

Posted on February 3, 2021February 3, 2021Market

Advanced techniques with simple Python code Source

Read more ⟶

Automating Stock Investing Fundamental Analysis With Python

Posted on February 3, 2021February 3, 2021Investing

Explaining Stock Trading Fundamental Analysis Ratios And Retrieving Them Using Python Source

Read more ⟶

Quantum Computing for Finance

Posted on February 3, 2021February 3, 2021Investing, Market, Prediction, Quantum

Multiverse Computing worked with major banks like BBVA and Bankia to solve real world problems in finance using a D-Wave quantum computers. In a project with Bankia, they tackled the problem of dynamic portfolio optimization ...

Read more ⟶

Optimize your trading strategy with three lines of code

Posted on January 26, 2021January 26, 2021Market

Use fastquant to easily optimize your trading strategy’s parameters automatically! Source

Read more ⟶

Creating a Trading Strategy Using the RSI & the Bollinger Bands. New Ideas Using Python

Posted on January 25, 2021January 25, 2021Market, Technologies

An overwhelming number of traders use the famous Relative Strength Index to help with their decisions, and although it can only serve as a confirming indicator, it nevertheless, has its weight in many trading decisions ...

Read more ⟶

Creating an Algorithmic Trading Strategy Using Python and Logistic Regression

Posted on January 25, 2021January 25, 2021Market

An automated machine learning strategy to determine the optimal stocks for algorithmic trading. Source

Read more ⟶

Day-Trading with AI: When to Hold, When to Fold, and When to Not Play!

Posted on January 25, 2021January 25, 2021Market, Prediction, Technologies

Market Clustering with Transdimensional Machine Learning The ability to characterize market day-trading with TML enables tailoring strategies to specific market “personalities”. These “personalities” render it seemingly impossible to trade profitably approximately 40 percent of trading ...

Read more ⟶

How Does Machine Learning Perform in the Stock Market?

Posted on January 25, 2021January 25, 2021Market

How to Use Vectorized Backtesting to Evaluate ML Models Source

Read more ⟶

Posts navigation

Older posts
Newer posts
Proudly powered by WordPress - Copyright © 2020-2022 | Theme: MiNNaK by Tamer Mancar