Building on our journey of transparency and consistent growth, I am excited to share a performance update on my Natural Gas (NG) option selling strategies. Below is a deep dive into the recent PnL data, showcasing the robustness of our algorithmic approach.


Scaling the “Fat-Tails”: A Performance Review of My Natural Gas Strategies 📈

As many of you know, my trading philosophy is deeply rooted in managing risk while capturing consistent gains in the commodities market. Today, I’m pulling back the curtain on the “PNL” spreadsheet to show you exactly how our suite of Natural Gas strategies is performing in the live market.

https://docs.google.com/spreadsheets/d/1G9KZaKjWiGSu_jf3UCXmRDWC6vSMOjMwNTwN5iGZxjk/edit?usp=sharing

The Big Picture: Consistent Compounding

Our ecosystem now spans over 25 distinct NG strategies, each designed to handle different market conditions. The results speak for themselves:

  • Total Profits: We have multiple strategies that have crossed the ₹1,80,000 to ₹1,90,000 mark in overall PnL.
  • Monthly Consistency: Several of our core systems are averaging between ₹18,000 and ₹24,000 in monthly PnL, providing a steady stream of income relative to the capital deployed.
  • Efficiency: Even our “Mini” shared codes and newer experiments are showing strong early results, with monthly averages often exceeding ₹25,000 as they find their footing in the current volatility.

Strategy Spotlights

Here are a few standout performers from our current lineup:

StrategyOverall PnLMonthly Avg. PnLMax Drawdown
Strategy 4 (NG)₹1,95,437₹19,827Stable
Strategy 6 (NG)₹1,91,374₹18,520₹23,624
Strategy 2 (NG)₹1,83,249₹18,956₹17,625
Strategy 13 (NG)₹1,61,687₹22,338₹12,875

(All figures based on live shared code performance data.)

Understanding the Drawdown

In trading, drawdown is the price we pay for admission. You will notice that while some strategies have drawdowns in the ₹25,000 to ₹35,000 range, they are often balanced by overall profits that are 5x to 6x that amount. This asymmetrical profile—keeping risks capped while letting the “Fat-Tail” events of Extremistan work in our favor—is the core of our success.

Why This Matters for You

Transparency is rare in the world of retail trading. By sharing this raw data, I want to show you that:

  1. Algorithms Remove Emotion: These results were achieved through disciplined, automated execution after 15:30 IST to align with peak liquidity.
  2. Diversification Works: By spreading capital across multiple NG shared codes, we smooth out the equity curve.
  3. Continuous Improvement: Data from these spreadsheets helps me refine our risk management frameworks every single day.

Take the Next Step

If you’re ready to move beyond manual trading and embrace a data-driven approach, you can explore the live shared codes for all these strategies directly on my website.

Let’s keep growing, one trade at a time.

Jai Hind,

Kamepalli Madhu Babu

Retail Algo Trader | Tradetron Strategy Creator


Quick Links:

🌐 Full Strategy List: retailalgotrader.technology

📢 Real-Time Updates: Join our Telegram Group

📊 Tradetron Dashboard: View Live Shared Codes


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