Description
PANDA BOT β NAS100 Breakout Strategy
PandaBot was originally developed as a personal trading tool to automate a simple idea:
Only take trades when market conditions are favourable, keep exposure under control, and size positions consistently based on available capital, without relying on grid systems, martingale, or recovery mechanisms.
The strategy was backtested over the 2023β2026 period on NAS100 (H3 timeframe).
The most recent 6 months of this range correspond to a period during which the strategy has also been running in forward test conditions on live market data.
Founder Release
PandaBot is currently available at an introductory Founder price.
A verified public track record is being prepared and will be published as live forward results continue to accumulate.
As this live data becomes publicly available, the price of this cBot will be adjusted accordingly.
Early adopters benefit from the lowest entry point.
One Strategy β Four Driving Styles
Instead of exposing dozens of internal parameters, PandaBot offers four built-in capital allocation profiles:
Family Mode β Fixed 1 lot (conservative)
City Mode β Fixed 10 lots (moderate)
Sport Mode β Dynamic sizing using ~20% of available margin
Race Mode β Dynamic sizing using ~30% of available margin (high risk)
All modes use the exact same trading logic.
Performance differences come only from capital allocation, not from modifying the underlying strategy.
Trading Logic
PandaBot uses a breakout-based approach combined with:
β’ volatility filtering
β’ ATR-based TP/SL
β’ contextual trade filters
There is no:
β’ Martingale
β’ Grid trading
β’ Position averaging
β’ Hedging recovery logic
Each trade is independent.
Backtesting Environment
All historical tests were performed using tick-by-tick data (historical Bid/Ask) on NAS100 (H3), within a Fusion Markets pricing environment, using a fixed spread of $0.8 and zero commission.
The most recent portion of the 2023β2026 test period overlaps with the last 6 months during which the strategy has been running in forward test conditions on live market data.
Notes
PandaBot is designed for NAS100 (H3) and low-spread brokers such as Fusion Markets.
High-risk modes such as Sport and Race may experience significant drawdowns depending on market conditions.
Disclaimer
Past performance does not guarantee future results.
Automated trading involves risk and may result in partial or total loss of capital.
Summary
The bot offers four predefined capital allocation modesβFamily (conservative, fixed 1 lot), City (moderate, fixed 10 lots), Sport (dynamic sizing using ~20% of available margin), and Race (high risk, dynamic sizing using ~30% of available margin). These modes adjust position sizing without altering the underlying trading logic.
Backtesting was conducted on tick-by-tick NAS100 data from 2023 to early 2026, including six months of live forward testing under conditions simulating a low-spread broker environment (Fusion Markets). The strategy targets low-spread brokers and is optimized for NAS100 trading. Performance metrics include a profit factor of 2.33 and a maximum drawdown of approximately 19.6%. Users should consider risk levels associated with higher-risk modes. Past performance does not guarantee future results.
Customer reviews
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