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relataly.com

  • AI
    • Simple Regression
    • Classification: Two Class
    • Classification: Multi-Class
    • Clustering
    • Time Series Forecasting
    • Anomaly Detection
    • Natural Language
    • Recommender Systems
    • Reinforcement Learning
    • Responsible AI
  • Use Cases
    • Stock Market Forecasting
    • Algorithmic Trading
    • Sentiment Analysis
    • Churn Prediction
    • Fraud Detection
    • Predictive Maintenance
    • Marketing Automation
    • Customer Segmentation
    • Sales Forecasting
    • ChatBots
    • Fighting Crime
    • Risk Management
    • Image Recognition
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Decision Trees
    • Random Decision Forests
    • Random Isolation Forest
    • Local Outlier Factor
    • Gradient Boosting
    • Collaborative Filtering
    • Content-based Filtering
    • K-Nearest Neighbors
    • K-Means
    • Affinity Propagation
    • Agglomerative Clustering
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Exploratory Data Analysis
    • Feature Engineering
    • Hyperparameter Tuning
    • Dimensionality Reduction
    • Model Interpretation
    • Data Visualization
    • Correlation
    • Measuring Performance
    • Cross-Validation
    • Vector Databases
    • SQLite
    • Data Science Environments
      • Anaconda
      • Azure Machine Learning
    • Python Libraries
      • Scikit-Learn
      • Tensorflow
      • Keras
      • Pytorch
      • PySpark
      • Chainer
      • OpenAI Gym
      • Seaborn
      • Fairlearn
      • Facebook Prophet
      • GeoPandas
  • Data & APIs
    • OpenAI API
    • REST APIs
    • NewsAPI
    • Coinmarketcap API
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Algorithmic Trading

Algorithmic trading, also known as automated trading or black-box trading, is the use of computer algorithms to automatically make trades on financial markets. These algorithms are based on a set of rules and instructions, and they are designed to execute trades in a fast and efficient manner. Algorithmic trading allows traders to make large numbers of trades quickly and accurately, and it can be used to trade a wide range of financial instruments, including stocks, bonds, currencies, and commodities. Algorithmic trading is commonly used by large financial institutions and hedge funds, and it has become increasingly popular in recent years due to advances in technology and the availability of large amounts of data.

trading bot machine learning python tutorial neural network gateio-min

Automate Crypto Trading with a Python-Powered Twitter Bot and Gate.io Signals

May 27, 2023May 19, 2021

This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price … Read more

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