Safety & risk

Paid does not mean a scam, nor does it guarantee quality. Evaluate any bot the same way: strategy explanation, supported symbols and conditions, backtest and live or demo evidence, reviews from real users, seller history, trial availability and risk wording. Products that promise guaranteed profit, hide drawdown or refuse demo testing are the ones to walk away from.

Trading bots are software tools — useful when the strategy is understood and risk is controlled, not safe by default. A bot can lose money through poor logic, aggressive settings, broker conditions, slippage, leverage or a market regime shift. Read the product page, test on a demo account, start with a small size when going live, set risk limits and avoid products that promise guaranteed profit.

No. No bot can guarantee profit. Automation removes manual execution errors and emotional decisions, but it cannot remove spreads, slippage, leverage risk, news shocks or market regime changes. Any product that claims guaranteed profit is either marketing or a scam — both are reasons not to buy.

Yes. The copied strategy can underperform, draw down or be wiped out. Past performance is not a forward guarantee and fees apply whether the strategy is profitable or not (management fee, in particular). Manage risk by investing only what you can afford to lose and by stopping copy if drawdown breaches your personal limit.

Yes. Leverage magnifies both gains and losses. A 100:1 account can wipe out the deposit on a small adverse move just as it can multiply small wins. EU/EEA retail clients fall under ESMA leverage caps (typically 30:1 on major FX, lower on indices and crypto); other regions can offer higher leverage. Use leverage that matches your risk tolerance, not the maximum the broker allows.

Yes, frequently. A signal indicator marks possible conditions; it cannot predict the future. Signals can be early, late, missed or repainted depending on the indicator's logic and market conditions. No indicator has a 100% win rate and high-win-rate indicators often have hidden large losses that erase the wins. Treat signals as decision inputs, not instructions.

Check backtesting results and whether they are achieved on a live or demo account. Note the account age, drawdown, instruments, broker and whether settings changed during the period. Short track records with no drawdown are a red flag. Live or demo-forward statistics are stronger evidence than polished backtesting results; reviews from real buyers help too.

Open the product page in cTrader Store and use the report function. Provide specifics — what the description claims, what actually happens, any screenshots or reproducible steps. Reports are reviewed, and products that breach the rules can be removed.

Start with an amount you can lose entirely without affecting your finances. For testing a new bot, strategy or copy provider, the smallest live account that your broker offers is usually enough to validate behaviour. Scaling capital after a meaningful track record (months, not days) is safer than starting large and hoping for the best.

Yes. Demo testing is the lowest-cost way to validate that a bot, copy strategy, plugin or TradingView automation behaves the way the product page describes — on your broker, with your settings and your symbols. Demo does not guarantee live results, but it catches the avoidable setup mistakes that account for most early losses.

Curve fitting is a form of overfitting where settings are adjusted to match historical price movements too precisely. The result is a backtesting equity curve that looks almost perfect and a live performance that diverges quickly. Treat suspiciously clean backtesting results as a warning, not a feature.

Drawdown is the peak-to-trough decline in account equity or balance over a measurement period. Maximum drawdown is the worst such decline in the record; current drawdown is the open one. Drawdown matters more than headline returns because it represents the worst loss an investor or trader has had to sit through — and a strategy is only useful if you can stay with it through its worst drawdown.

Grid trading places orders at fixed price intervals above and below the current price, accumulating positions as price moves. Like martingale, it tends to win small often and lose huge occasionally, because exposure grows when the market trends against the grid. Grid strategies are sensitive to drawdown rules and are commonly restricted on prop firm accounts.

Martingale is a trading approach that increases position size after losses, on the assumption that a win will eventually recover the loss sequence. It usually has a high win rate but can result in a catastrophic loss, because the position size compounds quickly when the losing streak runs longer than the account can sustain. Many prop firms ban martingale strategies for this reason.

Max drawdown is the largest peak-to-trough loss on a strategy or account over the measurement period, expressed as a percentage or absolute amount. It is the most important risk metric for evaluating bots, copy strategies and prop accounts because it shows the worst pain the account survived. A 30% max drawdown means the account lost 30% from a high before recovering.

Overfitting is when a strategy is tuned so closely to past data that it captures noise rather than a real edge. Overfitted strategies look excellent in backtesting and fail in live trading because the patterns they learned do not repeat. Out-of-sample testing and demo-forward tests are the main defences.

Profit factor is the ratio of total gross profit to total gross loss across all trades. A profit factor of 1.0 means breakeven; 1.5 means $1.50 of profit per $1 of loss. A profit factor above 1.5 over a long enough record is usually meaningful; below 1.2 is fragile and easily wiped out by spread, slippage or one bad period.

ROI (Return on Investment) is the percentage return on the capital allocated to a strategy, position or account over a measurement period. Annualised ROI is more comparable than monthly ROI because it normalises for timeframe. ROI should always be read alongside drawdown: a 50% annual ROI with a 40% max drawdown is very different from a 20% annual ROI with a 5% max drawdown.

Slippage is the difference between the expected trade price and the actual fill price. It happens during fast markets, low liquidity, news events or order-execution delays. Slippage hurts strategies most when entries are time-sensitive (scalping, news trading). It depends on broker liquidity, account type, symbol, order type and market volatility — it is not only a platform issue.

Backtesting replays a strategy against historical data. A forward test runs the strategy in current market conditions on a demo or small live account. Backtesting is useful for research and parameter selection; forward tests reveal real spreads, slippage, execution and behaviour under live conditions. Use both — neither alone is sufficient.

Before starting a bot live, check: lot size, risk per trade, maximum open positions, daily loss limit, maximum drawdown, allowed symbols and timeframes, trading hours, news handling, stop loss and take profit logic and emergency-stop conditions. Confirm whether the bot runs cloud or local and whether broker conditions match the assumptions on the product page.

You are. cTrader Store provides access to tools — cBots, indicators, plugins, Copy strategies — and tools can help with analysis and execution, but they cannot remove trading risk. You remain responsible for product selection, account choice, risk settings, leverage, position sizing and compliance with broker or prop-firm rules. AI-generated suggestions and copy-strategy performance are also not financial advice.

Both strategies accumulate position size as the market moves against them, so exposure compounds during drawdown — exactly when risk should decrease. The win rate looks great in normal conditions and disastrous in trending or volatile conditions. Prop firms restrict or ban these strategies because they conflict with drawdown and consistency rules.

Historical data does not fully reproduce future spreads, slippage, execution speed, swaps, broker setup or market regime. Settings tuned for past conditions may not generalise. Live trading also exposes the strategy to gaps, news and liquidity events that backtesting smoothes over. Use backtesting for hypothesis testing; use demo and small live size for validation.

Because win rate alone says nothing about position size or loss magnitude. A 90% win rate with average winners of 5 pips and average losers of 100 pips is a losing strategy. Always evaluate win rate alongside average win, average loss, max drawdown and profit factor. Grid and martingale strategies often have very high win rates and catastrophic worst losses.

A cBot can stop for several reasons: the local desktop app was closed (local cBots only), the cloud instance was stopped manually, the demo cloud instance hit the 7-day auto-stop, account margin became insufficient, broker session changed, the cBot encountered a runtime error or trading was disabled for the account. Check the cBot's journal in cTrader Algo for the exact event.

Spreads are a per-trade tax that compounds with frequency. A bot trading 100 times a day on a 1.5-pip spread account pays 150 pips/day just in spread — before commissions, slippage or losses. The same bot on a raw spread account with 0.1-pip spread and $7 commission per lot may net out cheaper. Scalping bots are most spread-sensitive; longer-timeframe bots less so.

Execution differs because each broker uses different liquidity providers, order routing, latency, slippage handling and price-improvement logic. Two brokers showing the same headline spread can fill the same order at meaningfully different prices, especially around news. This matters most for scalpers, bots and copy trading. Test the same setup on a demo account with each broker before committing.

Common reasons: you are signed in with a different cTrader ID than the one that purchased the product, cloud synchronisation is disabled in cTrader Windows or Mac, you opened an app that does not support the product type (e.g. Store custom indicator on Mobile) or the product is still syncing. Check active cTID, enable cloud sync and open a compatible app.

News events cause sudden volatility, spread widening, slippage and liquidity gaps. A strategy designed for normal market conditions may take losses far larger than backtesting predicted because spreads jump from 1 to 20 pips, stops fill far from the expected price and trend reversals happen in seconds. Bots without a news filter and traders without a news plan are most exposed. Many prop firms restrict trading around tier-1 news for this reason.