AetherQuant
Unverified ML strategy on Crypto by ali-faraz-py. BotFinder score 18 out of 100.
🏹 AetherQuant AI: A crypto market trend classifier using XGBoost and 24 live technical indicators (RSI, MACD, VWAP). FastAPI backend + Next.js frontend, with real-time signals and
Source: github
BotFinder analysis pending.
AetherQuant
🏹 AetherQuant AI: Advanced Crypto Predictive Engine A machine learning-powered market signal dashboard that classifies short-term price direction using live technical indicators. Built with a FastAPI backend and a Next.js frontend. Originally a Streamlit app, rebuilt into a full separate backend/frontend architecture. --- 🚀 Live Demo Try the live app --- ✨ Features AI-powered signals — an XGBoost Classifier trained on 2 years of hourly BTC-USD data classifies market trend as BUY or SELL. Live market data — every request fetches fresh data directly from Yahoo Finance (yfinance) and computes all 24 indicators in real time. Real price & RSI charts — interactive line charts (price with SMA/Bollinger Bands, and RSI with overbought/oversold reference lines) built from actual live indicator history. Multi-asset support — BTC-USD, ETH-USD, AAPL, GOOGL, TSLA. Since the model is trained only on BTC-USD, predictions for other assets are clearly flagged as less reliable. Dark mode — toggle between a soft light "market brief" theme and a dark variant, persisted across visits. 🛠️ Tech Stack Backen
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
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 & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)