Stream before deciding
WebSocket ingestion collects multi-asset market data. A confluence strategy combines 1-hour, 15-minute, and 5-minute timeframes.
Crypto futures trading system.
Signals, risk, and a feedback loop.
A real-time trading system combining multi-timeframe signals, composite scoring, and ATR-based risk management.
01 / THE PROBLEM
The system challenge.
A trading strategy needs more than an entry signal. Market ingestion, signal agreement, risk management, execution, and trade analysis must work together.
02 / SYSTEM FLOW
Trace the architecture.
Select a stage to see its responsibility.Conceptual flow · based on the documented implementation
STAGE 01
WebSocket ingestion collects real-time market data across multiple assets from CoinDCX.
03 / IMPLEMENTATION
Decisions that matter.
The details that make this an engineering system.
Filter signals before execution
A 100-point scoring layer combines technical, volatility, volume, and session signals, using Supertrend and Bollinger Bands alongside ATR-based risk management.
Learn from trade outcomes
ML models support price-movement prediction and signal classification. A feedback loop analyzes historical outcomes and suggests parameter adjustments.
04 / OUTCOME & EVIDENCE
What the work demonstrates.
Described in the supplied resume. Source code, audited performance, profitability, and live deployment evidence were not provided.
Discuss the engineering workCONTINUE EXPLORINGMulti-agent orchestration
All selected work