Trend following
Use direction evidence such as an EMA, Supertrend, or Ichimoku condition; assess strength with ADX or momentum; and adapt risk to volatility.
A cBot strategy needs more than an indicator name. It needs a defined market, separate entry logic for each trade direction, confirmation requirements, exit behaviour, and risk limits. cBot Factory organizes those decisions into one repeatable workflow.
The same indicator can be used differently in different systems. Start with the strategy hypothesis, then choose evidence that supports it.
Use direction evidence such as an EMA, Supertrend, or Ichimoku condition; assess strength with ADX or momentum; and adapt risk to volatility.
Define the range or low-trend regime first, then use deviation or oscillator evidence such as Bollinger Bands, RSI, Stochastic, or CCI.
Use channel or price-break evidence, then consider volatility expansion, trend strength, or tick-volume activity as independent confirmation.
Mix supported evidence carefully, keep each rule's purpose clear, and avoid adding indicators merely because they improve one historical test.
Select currency pairs and a timeframe. Decide whether multiple positions may share a currency and whether hedging rules are appropriate for the intended cTrader account.
Enable Buy rules, Sell rules, or both. Each direction should describe its own valid market state rather than assuming that one rule can simply be reversed.
Choose indicators from different evidence categories when they serve distinct purposes, such as direction, momentum, volatility, or market activity.
Require a chosen number of completed candles to satisfy a condition. For example, two candles closing above an EMA can be required before a Buy entry qualifies.
Choose static profit targets, moving or trailing profit protection, partial profit levels, break-even behaviour, and rules for linked hedge baskets.
Set position sizing, stop loss, maximum open positions, and daily-loss guardrails before judging the strategy by potential return.
A Buy condition and a Sell condition are separate decisions. You may mirror the logic—for example, closes above an EMA for Buy and below it for Sell—or use different evidence when the strategy calls for asymmetry.
Evaluate enough trades, include realistic spread and commission, test different market periods, and reserve unseen data for out-of-sample evaluation. Then forward-test on the intended broker's demo account. Avoid repeatedly changing rules only to improve historical results.