Ejemplos de la biblioteca de trading de criptomonedas CCXT

Ejemplos · Citas · Tutoriales

Ejemplos

Para ejecutar los ejemplos de ccxt desde cualquier carpeta, escriba uno de los siguientes comandos en la consola.

Typescript

Ejemplos de Typescript

JavaScript

Ejemplos de JavaScript

node path/to/example.js # sustituir por el nombre de archivo real

Estos ejemplos pueden requerir los siguientes módulos de Node.js súper útiles de alta calidad por xpl:

• ololog: Registro multiplataforma con blackjack y chicas (ololog @ npm)
• ansicolor: Una biblioteca de calidad de JavaScript para la gestión de color/estilo ANSI (ansicolor @ npm)
• as-table: Una función simple que imprime objetos como tablas ASCII (as-table @ npm)

Todos los módulos anteriores se instalan automáticamente con las dependencias de desarrollo de la biblioteca ccxt por npm.

PHP

Ejemplos de PHP

php -f path/to/example.php # sustituir por el nombre de archivo real

Python

Ejemplos de Python

python path/to/example.py # sustituir por el nombre de archivo real

Citas de CCXT en Documentos y Tesis

• Evaluating machine learning models for predictive
  2025, Shavez Mushtaq Qureshi, Asad Rehman Khattak, Muhammad Shah Rukh (Qarshi University), Atif Saeed, Farooq Ahmad (COMSATS University Islamabad), Sultan H. Almotiri, Mohammed A. Al Ghamdi (Umm Al-Qura University)
• Machine Learning-Based Detection of Pump-and-Dump Schemes in Real-Time
  2024, Manuel Bolz, Kevin Bründler, Liam Kane, Panagiotis Patsias, Liam Tessendorf, Krzysztof M. Gogol, Taehoon Kim, Claudio J. Tessone (University of Zurich)
• Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions
  2024, Raed Alsini, Abdulaziz A Alsulami, Abdulaziz A Alqurashi, Nawaf Alhebaishi, Badraddin Alturki, Mouhamad D Mashat (King Abdulaziz University), Qasem Abu Al-Haija (Jordan University of Science and Technology), Ali Alqahtani, (Najran University)
• A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin Recommendation System
  2024, Lucas Rabelo de Araujo Morais, Teresa Bernarda Ludermir (Universidade Federal de Pernambuco)
• Deep Complex Networks: Applications in Financial Systems Modeling
  2024, Antonio Briola (University College London)
• FTX's downfall and Binance's consolidation: the fragility of Centralized Digital Finance
  2023, David Vidal-Tom´as, Antonio Briola, Tomaso Astea (University College London)
• Detecting Pump-and-Dumps with Crypto-Assets
  2023, Dean Fantazzini, Yufeng Xiao (Moscow State University)
• Detecting Depegs: Towards Safer Passive Liquidity Provision on Curve Finance
  2023, Thomas Cintra, Max Holloway (Xenophon Labs)
• Development Of A Cryptocurrency Bot
  2023, José Manuel Rodríguez Lomeña (Universitat Polit`ecnica de Catalunya)
• Dependency Structures in Cryptocurrency Market from High to Low Frequency
  2022, Antonio Briola (University College London), Tomaso Astea (London School Of Economics)
• Anatomy of a Stablecoin's failure: the Terra-Luna case
  2022, Antonio Briola, David Vidal-Tom´as, Yuanrong Wanga (University College London), Tomaso Astea (London School Of Economics)
• FreqAI: generalizing adaptive modeling for chaotic time-series forecasting
  2022, Robert A. Caulk, Elin Törnquist, Matthias Voppichler, Andrew R. Lawless, Ryan McMullan, Wagner Costa Santos, Timothy C. Pogue, Johan van der Vlugt, Stefan P. Gehring, Pascal Schmidt (Freqtrade)
• Analysis and Implementation of Arbitrage Bots in Centralized and Decentralized Finance
  2022, Claudio Gebbia (University of Zurich)
• Hybrid Cryptocurrency Pump and Dump Detection
  2020, Hadi Mansourifar, Weidong Shi (University of Houston), Lin Chen (Texas Tech University)
• Cryptocurrency Trading: A Comprehensive Survey
  2020, Fan Fang, Carmine Ventre, Michail Basios, Leslie Kanthan, David Martinez-Rego, Fan Wu, Lingbo Li (King's College London)
• Algorithm for cryptocurrency price discrepancy detection
  2020, Imre Lendak, Marta Patiño Martínez, Gergely Tyukodi, Daniel Minguez Camacho (Universidad Politécnica de Madrid)
• An Empirical Analysis of the Python Package Index (PyPI)
  2019, Ethan Bommarito, Michael J Bommarito II (University of Michigan)
• To the moon: defining and detecting cryptocurrency pump-and-dumps
  2018, Josh Kamps (VU University Amsterdam), Bennett Kleinberg (University College London)