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Nikita

Automated XAU/USD Trading Engine

Autonomous algorithmic trading with institutional-grade risk management. Self-hosted. Prop firm compliant. Always on.

Live Performance

Assets Under Management
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Max Drawdown
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Avg R-Multiple
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Trading Since
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P&L

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Open Positions

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Recent Strategy Signals

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What is Nikita?

Fully Autonomous

End-to-end automated trading pipeline. Signal generation, order execution, position management, and risk control — no manual intervention required.

Prop Firm Compliant

Built from the ground up to meet prop firm rules. Trailing drawdown limits, daily loss caps, and trade velocity controls are enforced at the engine level.

Self-Hosted

Runs on dedicated infrastructure with full control over data, latency, and uptime. No third-party signal services or cloud dependencies in the critical path.

Coming Soon

ARIA — Multi-Instrument Adaptive Agent

The next-generation strategy in active development. ARIA extends Nikita's autonomous architecture beyond XAU/USD into broader markets — same risk-first DNA, wider edge surface.

When ARIA goes live, signals will be delivered to a private Telegram group. Get on the list to be among the first invited.

Get on the list →

How It Works

📈
Market Data
Real-time tick stream
🧠
Strategy Engine
Signal generation
🛡
Risk Manager
Circuit breakers & sizing
Broker
Order execution
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Dashboard
Real-time monitoring
Convinced? Get on the list →

Strategy Development Lifecycle

1

Research

Market microstructure analysis. Identify recurring liquidity sweep patterns in XAU/USD across London and New York sessions using tick-level data.

2

Backtest

Multi-year historical validation on tick-level data. Every signal, fill, and exit is simulated with realistic spread and slippage models.

3

Optimize

Optuna TPE hyperparameter tuning with walk-forward analysis. Parameters are smoothed via Kalman filtering to avoid overfitting to past regimes.

4

Validate

Out-of-sample testing, Monte Carlo simulation, and regime stress tests. Strategy must pass live simulation with bit-identical results before promotion.

5

Deploy

Dockerized engine with 12 circuit breakers, prop firm compliance enforcement, and graduated risk tiers. Zero-downtime deploys with state preservation.

6

Monitor

Real-time dashboard, Telegram alerts, and automated safety gates. Continuous regime detection feeds back into parameter adaptation.

Tech Stack

Python 3.12 Next.js 16 PostgreSQL 15 Supabase Docker Caddy Grafana OpenTofu GCS Chart.js

Get on the list

When the private signals group goes live, you'll be among the first invited. No spam, no upsell — just the heads-up.

Username (with or without @) or numeric ID. Required for the signals group invite.

What instruments / timeframes do you trade? What's your typical setup, position sizing, and drawdown discipline?

100–300 words.

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What happened, how did you handle it, and what did you take away from it?

100–300 words.

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Why does your approach work, when does it stop working, and what would make this signals group worthwhile for you?

100–300 words.

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We review every response personally. Approved applicants are notified via Telegram.