Account safety, anti-copy and the strategy families

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Account safety

Built so your account trades as its own.

Most cBots create a problem the moment more than one person runs them: identical trades across accounts, which a prop firm can flag as a coordinated copy group. realbacktesting is engineered against that — every account runs an independent variant of the same edge, so no two accounts place the same trade at the same instant, size or price. The edge itself never changes.

  1. 01
    Independent entry timingon by default

    Each account derives its own deterministic timing offset, so the same signal fills at a slightly different moment — and therefore a different price — on every account. Two buyers of the same product are never in the same trade at the same instant, so there is no identical, simultaneous order for a prop firm to pair.

  2. 02
    Balance-based sizingalways on

    Position size is a percentage of your own balance, so different balances produce different lot sizes on every single trade — one more way each account's trade stream is its own.

Immutable edge. What never moves is the edge: the entry and exit logic, the stop, the target, the risk per trade. Only WHEN an entry fires (a few seconds of offset) and HOW MUCH it sizes (your balance) differ between accounts. Both are expectancy-neutral by construction — they change your fingerprint, not your expected return.
Honest stance: no anti-copy measure is a guarantee, and we don't claim one. Independent timing and sizing stop two accounts from placing identical, simultaneous trades; they don't pretend two accounts running the same product share no statistical resemblance under deep analysis. FTMO permits commercial Store EAs — this is best-effort engineering so your account trades as its own, not a marketing promise.
Expectation setting

Your results vs the published backtest.

Your live results will land a few points around the headline numbers — and that's by design, not degradation. Two things move them, both small and expectancy-neutral:

  • The uniqueness layer — a short, automatic entry-timing offset and a lot sized to your balance.
  • Real costs — your broker's spread, swap, commission and slippage.

The edge itself — R:R, stop, target, indicators — is identical; only when and how much you enter changes. The headline numbers are the design target; in live you land around them. We don't promise the exact backtest — that honesty is the whole point.

Strategy explanation

How the systems actually trade.

Each product is a portfolio of independent, decorrelated strategies — not one indicator and not one market. The behaviour is open; the exact recipe is the part you're paying for.

The concept

A basket of independent strategies, not one indicator — nested cleanly: Guardian's 8 sit inside Balanced's 12, inside Edge's 13. Each was individually proven a winner (deflated-Sharpe, PBO, out-of-sample) before it earned its place.

How it works

Each sleeve trades only inside the regime it was validated on — trend, breakout, mean-reversion or momentum — never forced, with a higher-timeframe filter keeping it on the right side. We publish the behaviour; the exact indicators stay proprietary.

Money management

Every trade has a hard stop and risks a small slice of your balance — no single trade can sink the account. The drawdown band is enforced at the 95th percentile of 20,000 Monte-Carlo paths and confirmed out-of-sample.

Decorrelation

Six markets, different timeframes, average pairwise correlation near zero (|corr| ≈ 0.05). When one sleeve is down another is usually carrying — that's what keeps the combined curve smooth.

What stays proprietary

The exact indicators, thresholds and per-sleeve weights stay private — that's the research you're buying. Everything you need to verify the result is public; everything you'd need to clone it is not.

Trend-following
ride sustained directional moves, behind a higher-timeframe filter
Breakouts
enter as price clears a volatility range
Momentum
confirm strength before committing
Mean-reversion
fade stretched moves — only inside the trend
Volatility
size and time around expansion / contraction

Every sleeve only trades inside the regime it was proven on — never forced into conditions it wasn't validated for. No promises — each edge is specific and validated, not magic. We show you how to verify the result, not how to rebuild it.

Before you buy

What you get — and what you don't.

What you get

  • A compiled cBot on the cTrader Store, with the exact parameter preset every number here was measured at.
  • A 5-year backtest on real per-symbol costs that you reproduce in your own cTrader before risking a cent.
  • The full metrics, the FTMO funding & payout model and the verification methodology — nothing hidden.
  • A dedicated cloud-ready build on request, so you can run it 24/7 in cTrader's free cloud.

What you don't

  • No live track record yet on these systems — what exists is a 5-year backtest, reproducible in cTrader.
  • No guaranteed returns — every figure is a backtest or Monte-Carlo model on 2021–2026 data.
  • No signal feed and no managed account — you run the cBot yourself, on your own account.
  • Not a performance warranty — the 14-day money-back is the cTrader Store's standard policy, nothing more.

Risk. Trading involves a substantial risk of loss and you can lose money. Past performance does not guarantee future results. Verify the backtest in your own cTrader before you risk capital. Built for FTMO EUR Swing accounts (20k–160k); minimum recommended balance 40,000 EUR (Edge 20,000) — below that the cBot skips Gold/BTC trades on minimum lot and the drawdown band no longer holds.

Two currencies, stated plainly: the backtest, the 80,000 EUR model base, the account sizes and the modelled payouts are all in EUR; only the cTrader Store charges the one-time price in USD, with any VAT or taxes handled at checkout.