FSG Ultimate – Smart Grid Ultimate (SGU), Version 2.3

Automate a grid strategy you can understand and configure.

SGU is a cTrader cBot that uses Stochastic signals to look for potential price reversals. It manages a basket: a group of buy trades or sell trades handled together. You choose when to enter, how positions are added and when to exit.

How it works

1. Start with a signal.
   A Stochastic crossover qualifies the first trade. An optional second Stochastic on a higher timeframe adds a confirmation check.
2. Build the grid within your settings.
   If price moves against the basket, SGU can add equal-sized trades at your chosen spacing, up to your position limit. Added trades follow spacing rules, without requiring a fresh signal. There is no martingale multiplication, but each added trade increases total exposure.
3. Manage the basket toward an exit.
   SGU monitors the group against your profit target and loss triggers, instead of treating each trade as an independent strategy.

Primary signals use completed candles. Optional higher-timeframe confirmation can include an unfinished candle and may change before it closes. Version 2.3 removes ADX while retaining both Stochastic indicators and the basket controls.

Choose your targets and loss rules

• Fixed profit target or an ATR-based target that adjusts to recent market volatility, within your chosen limits.
• Mandatory monetary loss budget for each basket.
• Optional basket stops in pips and as a percentage of account balance.
• Individual broker-side stop losses, spread limits and trading-hour filters.

Historical results – previous build 2.2.2.0

The guides document 13 separate FX backtests from 1 January 2020 to 14 October 2026. Each used USD 1,000 starting capital, server tick data, 1:20 account leverage and fixed 0.01-lot trades, with up to five positions. Entry signals used H1 (one hour), with D3 (three-day) confirmation.

Across the 13 tests:

• 11 finished positive and two negative.
• Average cumulative return: +23.72% over the full period.
• Average maximum equity drawdown: 25.07%; deepest individual drawdown: 36.84%.
• Pooled closed-trade profit factor: 2.60. Winning trades generated USD 2.60 in net gains for every USD 1 lost in losing trades.

Selected historical examples:

• EURUSD: +46.55% cumulative return / 12.98% maximum equity drawdown.
• USDCHF: +51.89% cumulative return / 15.75% maximum equity drawdown.
• GBPUSD: +56.58% cumulative return / 24.86% maximum equity drawdown.

Returns cover the entire period, not one year. Equity drawdown includes losses on open trades. These are separate tests, not a combined portfolio. Historical logs recorded 278 critical execution messages across eight tests, including 39 in USDCHF. The guides explain the full panel, settings and execution issues.

These historical results do not validate the current 2.3 build.

Before you start

• Intended for FX symbols such as EURUSD, GBPUSD and USDCHF, with configurable signal timeframes.
• Requires local cTrader execution on Windows or Mac and a hedging account. Cloud mode does not open new trades and closes existing positions owned by the instance.
• USD 1,000 is a historical testing reference. Required capital and margin depend on your settings, symbol and broker.
• Test on demo first and review existing presets after upgrading.

What you receive

• Compiled cBot in .algo format.
• Example .cbotset presets for testing and adaptation.
• English and Spanish guides covering all 56 parameters.
• Educational drawdown and capital-recovery tables.

Understand the risk

Strong trends can cause large floating losses and long holding periods. A basket stop is an exit trigger, not a guaranteed ceiling on account drawdown. Gaps, slippage and execution failures can cause losses beyond the configured amount.

Trading involves risk. Past performance does not guarantee future results.