AegisQuant

Self-Hosted Binance Futures Trading Bot

Survive first, profit second. A self-hosted quant trading framework with professional-grade risk controls welded into the system layer — trend-following + walk-forward, overfit-proof backtesting.

🔴 Equity circuit-breaker🛑 Exchange-side stops 📉 Daily loss halt⚖️ Position-sizing formula 🔒 Leverage cap✅ Zero third-party deps

Get AegisQuant — $69 · code EARLY30

early-bird code EARLY30 → $69

Open Research Matrix

📚 35-Module Quantitative Research & Architecture Explorer

Filter across all 35 institutional modules, walk-forward backtests, and microstructural specifications:

Module 01 • Gateway

Tokyo VPS < 2.5ms RTT Co-Location

Hardware interconnect benchmarks reducing RTT by 99.5%.

Module 02 • Security

Ed25519 Keys & Zero-Trust Permissions

Asymmetric cryptographic signing in 0.12ms with zero withdrawal permissions.

Module 03 • Execution

Two-Tier Ratchet vs Continuous Trailing

Discrete +1.5R expansion to +0.5R breakeven state machine.

Module 04 • Volatility

True Dynamic ATR Volatility Sizing

Equalizing dollar risk to constant 1.0% R across regime shifts.

Module 05 • Statistical

1,000-Path Monte Carlo Expectancy

Modeling 99.8% net profitability confidence across random trade orders.

Module 06 • Autonomic Ops

Rolling 3.5% Drawdown Circuit Breakers

Automated 12-hour cooling-off freeze eliminating revenge tilt.

aegisctl — interactive terminal simulator

v2.0-STABLE

Try command:

$ python3 aegisctl.py status

Backtest equity curves

2023-01 → 2026-08 · 4h timeframe · normalized to 100 · fees & slippage included

Key metrics

Asset	Return	Max DD	Win rate	PF	Trades

FAQ

Does AegisQuant run on Binance futures?
Yes — self-hosted USDT-M perpetuals, Python + numpy, no cloud.

Is it a signal group or copy-trading?
No — you run the Python source yourself; keys never leave your machine.

What if my laptop crashes?
The exchange-side conditional algo stop stays on the exchange and still protects the position.

🔥 Early-Bird Batch: 8 of 30 Licenses Left

$69 $99 Code EARLY30 Applied

Early-Bird Allocation 73% Claimed (22/30)

Zero-Cloud Python Core: Complete source code + walk-forward models
Exchange-Native Hard Stop Sync: Guaranteed execution during API rate limits
Equity Drawdown Circuit Breakers: Auto-halt on rolling peak-to-trough drawdowns
Instant Delivery: Download ZIP immediately + lifetime minor updates

Claim $69 Early-Bird Access → 🔒 100% Self-Hosted • No API Key Sharing

🔥 8 SLOTS LEFT AegisQuant 2.0 Full Source & Tokyo VPS Daemon $199 $69.00

Get Instant Access ($69) →

Quantitative Knowledge Base

Explore Risk Architectures & Failure Modes

Search 30+ deep-dive quantitative engineering guides, backtest models, and slippage diagnostics:

aegisquant@tokyo-vps: ~ / evaluate_risk.py

// Click "Run Live Audit Simulation" above to test the zero-cloud risk verification daemon:
$ python3 evaluate_risk.py --audit-live

Zero-Cloud Dataflow

Institutional Execution Pipeline

How packet streams flow between your private VPS and the Binance matching engine:

STAGE 1 ⚡

WebSocket Ingestion

Zero-weight listenKey streams deliver order trade updates in < 2ms RTT without REST polling.

STAGE 2 (CORE) 🛡️

AegisQuant Daemon

Local memory kernel calculates ATR position size and checks 3.5% rolling drawdown circuit breaker.

STAGE 3 🔒

Exchange Stop Sync

Places STOP_MARKET directly on Binance matching engine. Immune to local VPS outages.

STAGE 4 📢

Instant Dispatch

Zero-dependency Telegram and Discord webhook notifications on every stop fill & cooling-off halt.