SniperAI — real-time crypto futures signals
A live Binance futures signal platform: real-time scanner, multi-timeframe technical analysis, adaptive scoring, and risk-defined execution — tuned at the kernel level for low-latency. Built and operated solo under the FalcoFlow brand.
Symbols Scanned
Scan Refresh
Kernel Scheduling
End-to-End Ownership
The Challenge
Why most retail signal bots fail
Three structural problems show up again and again in retail-grade trading systems.
Signal Latency Kills Edge
Retail trading bots run on default kernel schedulers — jitter costs entry price.
Single-Timeframe Noise
One indicator or one timeframe produces constant false positives.
No Risk Discipline
Most signal services send entries without defined stops or position sizing.
How It Works
A fully integrated signal engine
Every layer — data, analysis, execution, infrastructure — designed together.
Real-Time Market Scanner
Streams Binance futures data across 100+ symbols with sub-second refresh.
- WebSocket + REST hybrid ingestion
- Per-symbol state machines
- Backpressure-aware processing
Multi-Timeframe Technical Analysis
EMA, RSI, VWAP, volume, and S/R confluence across multiple timeframes.
- Adaptive scoring engine
- Trend + momentum + volume fusion
- Configurable confluence thresholds
Kernel-Level Low Latency
Real-time scheduling and memory locking for consistent execution timing.
- SCHED_FIFO real-time priority
- CPU affinity pinning
- mlockall memory locking
Risk-Defined Execution
Every signal ships with entry, stop, and exit logic — no naked entries.
- Position sizing by risk %
- Hard stop-loss enforcement
- Full trade-lifecycle tracking
Production Infrastructure
Runs on a hardened Ubuntu VPS behind Nginx with full observability.
- Nginx reverse proxy + SSL
- Systemd service supervision
- Structured logging + metrics
End-to-End Solo Ownership
Product, engine, infrastructure, deployment, and live operations — all in one hand.
- Product design
- Backend + infra
- Live operation under FalcoFlow
The Stack
Built with production-grade tools
Language
- Python 3
Market Data
- Binance API (WebSocket + REST)
Analysis
- Custom TA engine — EMA, RSI, VWAP, Volume, S/R
Infrastructure
- Ubuntu VPS
- Nginx reverse proxy
- Systemd
Low-Latency Tuning
- SCHED_FIFO
- CPU affinity pinning
- mlockall
Security
- SSL/TLS (Let's Encrypt)
- UFW / iptables
- SSH key hardening
Need a low-latency system like this?
Real-time infrastructure, custom analytics engines, or kernel-tuned execution — let's talk about what you're trying to ship.