Quantum Trading Platform
Run your own ML models on live market data with quantum-powered analysis — the next evolution beyond TradingView.
TradingView, Reimagined with AI & Quantum
Instead of Pine Script, write strategies in Python with full access to ML libraries. Instead of static indicators, deploy RAG pipelines that ingest live news, filings, and alternative data. Instead of classical backtesting, use quantum computing for strategy optimization.
from quantcore import Strategy, RAGPipeline
class QuantumMomentum(Strategy):
def setup(self):
self.rag = RAGPipeline(
sources=["market_data", "sec_filings", "news"]
)
self.model = self.load_model("quantum_momentum_v3")
def on_data(self, data):
signal = self.model.predict(data)
context = self.rag.query(data.symbol)
if signal.confidence > 0.85:
self.execute(signal, context)Platform Features
Everything you need to build, test, and deploy quantitative trading strategies.
Custom ML Model Deployment
Deploy your own machine learning models in Python — scikit-learn, TensorFlow, PyTorch, or custom frameworks — directly on the platform.
RAG Over Live Market Data
Retrieval-Augmented Generation pipeline that ingests live market feeds, news, SEC filings, and alternative data for real-time intelligence.
Quantum Strategy Analysis
Leverage quantum computing algorithms for portfolio optimization, risk analysis, and strategy evaluation beyond classical limits.
End-to-End Broker Integration
Connect directly to major brokers for live order execution, portfolio management, and real-time position tracking.
Advanced Visualization
Interactive charts with custom indicators, model predictions overlay, confidence intervals, and multi-timeframe analysis.
Backtesting Engine
High-performance backtesting with tick-level data, slippage modeling, and Monte Carlo simulation for strategy validation.
Pine Script vs. Python ML
See why quantitative traders are moving beyond traditional charting platforms.
| Feature | Traditional Platform | QuantCore |
|---|---|---|
| Strategy Language | Pine Script (proprietary) | Python (full ML ecosystem) |
| ML Models | Not supported | Any Python ML framework |
| Data Pipeline | Basic indicators | RAG over live data + news + filings |
| Computing | Classical only | Quantum + Classical hybrid |
| Broker Integration | Limited partners | Universal broker connectivity |
| Backtesting | Bar-level data | Tick-level + Monte Carlo |
Integrations & Data Sources
Connect to the brokers and data providers you already use.
Request Early Access
Join the waitlist for the most advanced quantum-powered trading platform.