The financial markets are no longer ruled by just institutional players. With the rise of automation, even individual traders are harnessing the power of algorithms to make smarter, faster, and more profitable decisions. At Maximum Oxygen Inc (MXO2), we’ve built a versatile Algo Trading Platform that brings institutional-grade automation to retail traders — whether you’re a coder, a chartist, or an Excel wizard.

Our platform bridges the gap between powerful indicators, real-time data, and trade execution using Python CLI, AmiBroker, TradingView Pine Script, and more.

 Why Retail Traders Need Automation Now More Than Ever

• Markets move fast — emotions move faster.

• Manual trading lacks consistency, discipline, and risk control.

• Automation brings logic, timing, and repeatability — the holy grail of trading success.

Whether you're trading options on Bank Nifty or following a breakout pattern in US stocks, automation reduces human error and increases your edge.

Our Platform Components: What Makes It Unique

1. Python Command-Line Interface (CLI) Bots

For technical users, our Python CLI bots offer total control. Write your own logic or use our pre-built strategies, including:

• EMA breakout bots

• VWAP + SuperTrend validation

• Options strategy automation (with trailing SL/TP logic)

• Paper/live trade modes with configurable APIs (e.g., Shoonya)

Fully integrated with:

• JSON-based configuration

• Real-time WebSocket LTP feeds

• Logging and trade result tracking

2. AmiBroker Plugin Support

Prefer strategy development via AFL? We support:

• Signal-to-trade bridge via JSON or Web API

• Integration with live data or backtest feeds

• Works with Amibroker AFL alerts using our plugin-compatible handler

Use case: Trigger real-time trades on breakout with backtested AFL strategies.

3. TradingView Webhook Support (Pine Script)

No-code? No problem. Use TradingView’s charting and scripting environment:

• Custom Pine Script strategies with alert triggers

• Webhook-to-execution bridge hosted on Flask/ERPNext

• Validate strike price conditions (ATM/ITM logic) before trade

Use case: Breakout candle crosses EMA on 10min chart → webhook → CE/PE trade with SL and TSL applied.

4. Excel-Based Automation for Non-Coders

For traders who live in spreadsheets:

• LTP sync + trade trigger from Excel

• Strategy builder interface (dropdown + formula logic)

• Schedule-based trade execution and logs

Security, Risk & Compliance

• Supports paper trading, live execution, and dry-run simulations

• Configurable risk management: max loss, TSL, % SL/TP

• Easily integrate AML/KYC-compliant broker APIs (Shoonya, Zerodha, etc.)

• Logs and audit trails for every trade action

Built to Scale, Designed to Customize

Whether you're running a few trades a day or managing a client portfolio, our system scales:

• Multi-strategy, multi-account support

• Modular structure to plug in Telegram/Slack alerts, dashboards, and analytics

• Open to integrating new APIs (e.g., Fyers, Dhan, Kotak Neo)

Who It's For

• Retail Traders who want rule-based consistency

• Algo Developers building for clients or prop desks

• Mentors/Trainers delivering trading logic as services

• Quant Enthusiasts experimenting with Pine + Python + Data

Coming Soon

• AI-powered strategy recommendation

• Trade replay & simulation module

• Cloud-based dashboard with multi-device access