IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

Article Submitted : 19445

Article Published : 8041

Total Authors : 21252

Total Reviewer : 769

Total Countries : 144

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Binance Buddy
Authors Name: Fahad Shaikh , Saqueeb Begumpure , Muzammil Lalkot
Download E-Certificate: Download
Author Reg. ID:
IJRTI_206637
Published Paper Id: IJRTI2510021
Published In: Volume 10 Issue 10, October-2025
DOI:
Abstract: ABSTRACT The **Binance Buddy Bot** is an advanced, intelligent, and fully automated cryptocurrency trading system developed using Python. It is designed to interact directly with the **Binance API**, enabling users to perform real-time buy and sell operations based on customizable strategies such as **target profit percentage**, **stop- loss thresholds**, and **market price movement** conditions. The system supports both **automated algorithmic trading** and **manual intervention** through **Telegram-based commands**, making it highly interactive and user-centric. A key feature of the bot is its **terminal-based live dashboard**, created using the `rich` Python library. This dashboard provides a real-time display of account balance, active trades, trade history, and visual progress bars showing the daily profit target. The bot runs multiple background threads to handle automated trading logic, Telegram command polling, and a live clock — all working in sync for a seamless user experience. Security is an integral part of the design, with features such as **password authentication**, **command validation**, and **logging of all trade actions**. Alerts are sent via **Telegram** for every trade and important status update, ensuring transparency and user awareness at all times. The project architecture is **modular**, making it scalable and easy to upgrade. Planned future enhancements include: * A full-featured **GUI** (Tkinter or PyQt) * A **web-based control panel** using Flask or FastAPI with React * **AI/ML-based market prediction models** for smarter trade decisions * **Multi-exchange support** (MEXC, KuCoin, etc.) * **Smart token scanners**, candlestick charting, and technical indicators (MACD, RSI, etc.) * **Exportable reports** for tax filing and financial analysis * **Voice and email alerts**, session logging, and Telegram inline button UI The **Binance Buddy Bot** provides a comprehensive platform that combines automation, visualization, control, and intelligence. It aims to assist both novice and experienced traders in optimizing their strategies, reducing emotional bias, minimizing risk, and maximizing potential profit in the volatile world of cryptocurrency trading. With its focus on usability, safety, and adaptability, it sets a strong foundation for future growth in the domain of algorithmic finance and AI-driven fintech tools.
Keywords: Binance Buddy Bot
Cite Article: "Binance Buddy", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.a234-a240, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510021.pdf
Downloads: 000142
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2510021
Registration ID:206637
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: a234-a240
Country: Solapur, Maharashtra, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510021
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510021
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner