Description
MSS Multi-Instrument cBot | US100 & US500
Automated Liquidity Sweep and Market Structure Shift Trading
MSS Multi-Instrument is an automated cTrader cBot designed to trade US100 and US500 using a structured liquidity-sweep and Market Structure Shift (MSS) strategy.
The cBot automates setup identification, entry placement and trade management, helping traders implement a rules-based approach without having to monitor every market movement manually.
Key Features
- Multi-instrument trading: Designed for US100 and US500.
- Automated MSS strategy: Identifies liquidity sweeps and subsequent market structure shifts according to its programmed rules.
- Configurable risk management: Adjust the risk setting to suit your own testing and trading requirements. Recommended risk is 1% to avoid blowing propfirm account.
- Adjustable reward-to-risk ratio: Customize the target-to-stop relationship. Recommended RR is 1:0.75. this RR gives the best results according to numerous backtests.
- Customizable parameters: Adapt available settings to your preferences and broker specifications. Match the broker time zone and backtest first as this bot is only designed to trade NY AM session. Type in Asia session range and NY session range in the correctly. Type in the correct symbols names from your server in the instruments slots. Set RR to 1:0.75 and intended risk to your taste (recommended 1%). Type in the starting balance in the respective slot to be used for intended risk calculation.
- Automated execution: Identifies qualifying setups and places limit orders with an expiry time of 1 hour. Only allowed to take 1 trade per instrument and 1 losing trade halts the bot for the day.
- cTrader integration: Built for the cTrader trading platform.
- I have numerous successful backtests from m1 bars which I will show later in the pictures section.
- The only tick backtesting range available to me was this one which is given below.
- Live trade exection screenshot is also attached.
- I would like to attach more screenshots but 10 is the limit.
Tick-Data Backtest
A tick-data backtest was conducted from 8 December 2021 to 4 October 2022 using the tick based data from cTrader spotware local server configuration.
Reported results:
- Total trades: 35
- Winning trades: 26
- Losing trades: 9
- Win rate: 74.29%
- Profit factor: 3.13
- Reported account growth: 25.13%
The test uses a limited historical period and sample size. These figures represent historical backtest performance only and should not be interpreted as a forecast or guarantee of future results.
Now for the m1 bars bactesting data which shows the last 4 years performance which is almost institutional grade are given below.
Pictures for the backtests are attached.
The developer's reported backtest for 7 March 2022 to 7 October 2026 includes:
Starting capital: $100,000
Net profit: $177,168.66
Ending balance: ~$277,168.88
- 717 completed trades
- 475 winning trades
- 66.24% reported win rate
- 1.85 reported profit factor
- 4.66% maximum balance drawdown
- 5.11% maximum equity drawdown
- 20 consecutive wins at maximum
- 6 consecutive losses at maximum
- 0.75% risk per trade
- 1:0.75 RR
Additional historical tests using higher risk configurations generated even higher profits.
Strategy Approach
The cBot follows a systematic liquidity-sweep and market-structure-shift approach, seeking qualifying setups before placing trades according to its configured entry, stop-loss and take-profit rules.
It is intended for traders who prefer a defined, automated trading process with configurable risk parameters rather than discretionary manual execution. Attach your propfirm accounts to this cBot and let it make consistent profits. Using instant accounts from reputable firms is recommended.
Recommended Use
- Confirm that your cBot is running every weekend and on intended risk settings.
- Review all parameters before running the cBot.
- Start with a demo account to verify execution and position sizing on your broker.
- Test different configurations before considering live deployment.
- Monitor performance and ensure the risk settings remain appropriate for your account.
Broker specifications, commissions, spreads, slippage, minimum volume and execution conditions may cause live results to differ from historical backtests.
Risk Disclaimer: Trading leveraged financial instruments involves substantial risk. Backtested performance does not guarantee future results. No particular return or win rate is guaranteed. Users are responsible for choosing appropriate risk settings and evaluating the suitability of the cBot for their circumstances.
