The FDQ Price Channel cBot automates the full trading logic of the FDQ Price Channel — from signal detection through position management — without approximating or simplifying the underlying analysis. The same channel structure, regime filtering, and rebound detection that the indicator provides visually are used directly to open, manage, and close trades.

The cBot is built to run reliably in live trading, backtesting, and optimization, including headless and parameter-sweep environments where no chart is present.

• Key Points. Three Entry Types, Each With Its Own Character

The cBot trades the same three rebound setups the indicator identifies, independently configurable.

• • Mid Rebound — Entries triggered when price pulls back to the channel midline and recovers. Occurs regularly in trending markets and works well as a primary entry.
  • Deep Rebound — Entries triggered at the inner band extreme, where price has committed further against the trend before reversing. Less frequent, with a more defined anchor.
  • Light Rebound — Entries triggered at the near side of the inner band — the shallowest pullback type. Highest frequency, smallest excursion from the trend.

Any combination of the three can be active simultaneously. At least one must always be enabled.

• Position Sizing That Reflects Actual Risk

Lot size is not fixed — it is calculated from the distance to the stop loss.

For each trade, the position size is determined by how much account equity you are willing to risk and how far away the stop loss is at the time of entry. A wider stop produces a smaller position; a tighter stop produces a larger one. The result is that each trade risks the same proportion of equity regardless of market conditions, rather than applying a flat lot size that produces inconsistent risk exposure.

• Stop Loss Anchored to the Channel

The stop loss is placed at a channel level that is meaningful, not arbitrary.

Each signal type has configurable stop loss options tied directly to the channel structure — outer band, inner band, or midline, depending on the signal. The stop begins at the chosen level and follows it as the channel evolves, always moving in the direction of the trade and never against it.

• Profit Lock: Protecting What Has Been Earned

The standard trailing stop follows the channel. In slow or shallow moves, that may not be enough.

The profit lock adds a second layer of protection. Once a trade has moved a defined number of pips into profit, a floor is established at a chosen proportion of the current open gain. From that point, the stop loss is the better of: where the channel says to trail, or the locked floor. The floor only moves forward — it never retreats — so as the trade extends further, the locked profit grows with it.

This prevents the scenario where a well-developed trade gives back most of its gain because the channel has not moved fast enough to keep pace.

• Regime-Change Management

When the trend flips, positions from the opposite direction are closed.

The cBot monitors the current trend state on every bar. When a confirmed transition occurs — Rising to Falling or vice versa — all open positions on the now-opposing side are closed. This keeps the book aligned with the current regime at all times and avoids holding a long position into a confirmed downtrend.

• Session Control

Trading hours can be restricted to a defined window.

A session filter lets you specify the hours during which the cBot is permitted to open new positions. When enabled, entries are blocked outside the session window. You can also choose whether open positions should be closed at session end or allowed to remain until their own exit conditions are met.

• Layered Risk Controls

Position count limits, profit targets, and session rules work together, not independently.

Beyond the per-trade stop and profit lock, the cBot includes a ceiling on the number of concurrent long and short positions, and an optional portfolio-level close trigger that exits all open trades when total floating profit reaches a specified percentage of account equity. These controls layer on top of each other — any one of them can trigger an exit independently.

• Built for Optimization

Every visual element is conditional. When there is no chart, none of it runs.

In backtesting without visualization or during parameter optimization sweeps, all chart drawing is automatically bypassed. The analytical logic — channel calculation, signal detection, position management — runs identically regardless of context. This means optimization results reflect real trade logic, not a degraded or simplified version of it.