
binary-options · GitHub Topics · GitHub
Mar 25, 2023 · Binary.com & Deriv.com API for Python. A bunch of betting simulations using Monte Carlo method. Useful for showing how your bankroll will collapse (or not) over time by betting. Predict AUD/JPY for iqoption binary forex. Trading analysis tools for IQ Option.
Binary Options and Implied Distributions with Python
Learn about Binary Options and the underlying implied distribution of stock prices at expiration with Python.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions. In four parts with 23 chapters plus an appendix, it covers on over 800 pages:
Machine Learning for Algorithmic Trading in Python: A …
Aug 24, 2023 · In this Python machine learning tutorial, we aim to explore how machine learning has transformed the world of trading. We can develop machine-learning algorithms to make predictions and inform trading decisions by harnessing …
GitHub - Ayushpanditmoto/Trading-Bot: Binary Trading AI Bot …
Binary Trading AI Bot is a project idea aimed at developing an AI-powered bot for binary trading. The bot utilizes machine learning algorithms to predict the direction of the next candle (whether it will move up or down) with high accuracy.
Machine Learning for Algorithmic Trading Bots with Python
Jan 9, 2025 · Machine learning offers a powerful way to enhance algorithmic trading bots. By leveraging Python and ML models, traders can develop sophisticated bots that make informed decisions, adapt to changing conditions, and execute trades efficiently.
Pricing Options in Python Part 1: Binary Options
Aug 5, 2024 · In the realm of options trading, the Black-Scholes-Merton model provides a robust framework for pricing various types of options, including binary options. This model not only offers a closed-form solution for pricing but also allows traders to understand the sensitivity of an option’s price to various factors, known as the “Greeks.”
Machine Learning Logistic Regression: Python, Trading and more
Feb 15, 2024 · Think of Machine learning logistic regression as a binary classifier. It analyses mountains of historical data – prices, volumes, indicators – and learns to distinguish between two distinct outcomes: up or down.
The Automated Trading Revolution: Using Algorithms for Binary …
Mar 28, 2024 · In this article, we’ll explore exactly what automated trading means for binary options, how these systems operate, potential benefits and risks, key considerations before implementation, and the cutting-edge of algo development.
Python Based Predictive Model Based On Historical Data For Binary ...
Feb 23, 2024 · I've been working on a Python-based predictive model that uses historical data to predict binary options outcomes. The model uses complex regression analysis to find patterns in historical price data and uses these patterns to predict future price movements.
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