XAUSyntheticMetalTreeBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 21.70% annualised return (10.93% total), Sharpe 1.33 over 126 days.

TL;DR

• Strategy family: Tree-based ML — Gradient-boosted and random-forest models trading FX and metals on engineered features.
• Live track record: 21.70% annualised return (CAGR), Sharpe 1.33, max drawdown -9.58% over 126 trading days.
• Code: open-source on python_tradingbot_framework — tradingbot/xauaisyntheticmetalbot.py.

Live performance snapshot

• Annualised return (CAGR): 21.70%
• Current paper-portfolio worth: $11093.45 (seeded at $10,000)
• Total return since seed: 10.93%
• Sharpe: 1.33
• Max drawdown: -9.58%
• Days live: 126

See the full chart, current holdings, and historical backtest on the strategy’s live page →.

How XAUSyntheticMetalTreeBot works

A full technical writeup for XAUSyntheticMetalTreeBot is in progress. In the meantime:

• Source code: tradingbot/xauaisyntheticmetalbot.py.
• Open-source framework: python_tradingbot_framework.

Run it yourself

XAUSyntheticMetalTreeBot is part of the open-source python_tradingbot_framework — fork the repo, run the code locally, or deploy your own variant. The source lives at tradingbot/xauaisyntheticmetalbot.py. The live page shows today’s portfolio state alongside the full historical backtest.

Related Tree-based ML strategies

• EURUSDTreeBot — also in the Tree-based ML family. See live performance →
• XAUZenbotTreeBot — also in the Tree-based ML family. See live performance →

FAQ

Is XAUSyntheticMetalTreeBot profitable live?

Since deployment, XAUSyntheticMetalTreeBot has produced an annualised return (CAGR) of 21.70% on a $10,000 paper seed (10.93% cumulative), with a Sharpe ratio of 1.33 and a max drawdown of -9.58% over 126 trading days. Numbers refresh daily on the live page.

Can I run XAUSyntheticMetalTreeBot myself?

Yes. XAUSyntheticMetalTreeBot is part of the open-source python_tradingbot_framework — you can fork the repo, inspect the strategy, and run the code locally or on your own Kubernetes cluster. The exact source file is here.

How does XAUSyntheticMetalTreeBot compare to other quantitative strategies?

XAUSyntheticMetalTreeBot belongs to the Tree-based ML family. Gradient-boosted and random-forest models trading FX and metals on engineered features. Browse the full leaderboard to compare it against strategies from other families.

Compare every strategy

Browse the full live leaderboard to see how XAUSyntheticMetalTreeBot ranks against 23 other paper-traded strategies, all seeded with the same $10,000.