BinanceTrader

Unverified ML strategy on Crypto by AlrzA2003. BotFinder score 18 out of 100.

AI-powered trading bot using Python, pandas, scikit-learn, NumPy, and TensorFlow. Interacts with Binance API for cryptocurrency trading based on ZigZag indicator and AI predictions

Source: github

Explorer/Crypto/BinanceTrader
18
Data index
CryptoMLMedium risk⚠ Unverified

BinanceTrader

AlrzA2003GitHub
From
Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
2.6y
BotFinder Analysis

BotFinder analysis pending.

About

BinanceTrader

BinanceTrader BinanceTrader is a Python class that utilizes Deep Neural Networks (DNN) for making predictions and executing demo/real trades on the Binance platform. This project aims to provide a framework for algorithmic trading in the cryptocurrency market. Table of Contents - Features - Prerequisites - Installation - Setup - Usage - How It Works - Risk Disclaimer - Resources - Contributing - License Features - Leverages Deep Neural Networks for price predictions - Supports both demo (testnet) and real trading environments (mainnet) - Automated trading with customizable parameters - Real-time data fetching and preprocessing - Integration with Binance API Prerequisites - Python 3.7+ - Binance account (with API access) - Basic understanding of cryptocurrency trading and Python programming Installation 1. Clone this repository: 2. Install the required packages: For specific versions to ensure compatibility: Setup 1. Data Preparation: - Run Downloades.py to fetch historical data from Binance. - Execute Preprocessing.py to train and save the model and scaler. Note: While pre-trained mo

PythonMITOpen-sourcebinanceccxtcryptocurrencydata-analysisnumpypandaspythonstatistics
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
AlrzA2003
Since 2013 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars11
Forks5
Open issues0
LanguagePython
LicenseMIT
Last update2024-09-12
Created2024-02-20
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