Logo di "PandaBot_NAS100_Breakout"
cBot
Testato su Fusion Markets
Versione 1.1, Feb 2026
Windows, Mac, Mobile, Web
4.3
Recensioni: 3
7.1%
ROI
2.33
Fattore di profitto
19.61%
Drawdown massimo
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Immagine caricata di "PandaBot_NAS100_Breakout"
Da 18/01/2026
47.95M
Volume negoziato
2.68M
Profitto in pip

PANDA BOT – 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 2023–2026 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 – Four Driving Styles


Instead of exposing dozens of internal parameters, PandaBot offers four built-in capital allocation profiles:


Family Mode – Fixed 1 lot (conservative)

City Mode – Fixed 10 lots (moderate)

Sport Mode – Dynamic sizing using ~20% of available margin

Race Mode – 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:

• volatility filtering

• ATR-based TP/SL

• contextual trade filters


There is no:

• Martingale

• Grid trading

• Position averaging

• 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 2023–2026 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.

Profilo di trading
4.3
Recensioni: 3
5
33 %
4
67 %
3
0 %
2
0 %
1
0 %
Recensioni dei clienti
March 11, 2026
Tested like a normal trader would, small size first. The idea is fine, but Does not need to scale it before seeing how it handles bad days. Worth rechecking it on first 60 minutes.
March 7, 2026
fits a trader who wants less noise in the process. The best use is testing continuation after a level break, then leaving the final filter manual.
March 7, 2026
Would not overtrust it, but Does not need to ignore it either. The use case is clear, and it helps if the setup is already disciplined. Light sizing makes the early sample easier to judge.
Breakout
Indices
RSI
NAS100
ATR
I prodotti disponibili tramite cTrader Store, inclusi bot di trading, indicatori e plugin, sono forniti da sviluppatori terzi e resi disponibili esclusivamente a scopo informativo e di accesso tecnico. cTrader Store non è un broker e non fornisce consulenze in materia di investimento, raccomandazioni individualizzate o garanzie di risultati futuri.

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47.95M
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Profitto in pip