MQL5 PROJECTS: Black Fairy Hedging Grid Scalping Strategy

Learn to customize MetaTrader 5 chart aesthetics for a Black Fairy expert advisor by adjusting grid visibility, chart mode, background and candle colors, and by testing indicators in strategy tester.

Import the keltner channel indicator into an ea, copy the upper and lower values, and configure kcc inputs (period, deviation, mode, applied price) for entry decisions.

Create a function to calculate Keltner channel values in the EA, storing results in calculated KCC upper and lower arrays. Then remove the KCC indicator, keeping a single moving average.

Define entry signals for mql5: buy on close above lower Keltner line after close below it, and sell on close below higher Keltner line after close above it.

Prepare your ea by including trade.mq, creating a CTrade object to access the trade class, then set the magic number and slippage in points (five pips) before compiling.

Implement buy and sell functions in MQL5. Enter trades at the ask price with defined stops and targets, and add a trade-count filter to limit executions.

Implement integer variables to track candlesticks after buy and after sell, ensuring trades only enter on new bars by comparing bars on the chart.

Develop a dynamic take profit function for both buy and sell positions to monetize profits toward a set target, then trigger a close all trades routine when reached.

apply cost averaging to a MQL5 grid strategy, entering buys and sells on keltner channel break signals and re-entering at better prices to capture profits while avoiding false breakouts.

Implement cost averaging by computing the last entry price and setting next buy and sell prices with a five-pip grid in a MQL5 expert advisor.

Explore using a lot multiplier to dynamically scale grid hedging trades in an mql5 advisor, removing the first position's stop loss for cost averaging and guiding progressive lot sizing.

Limit risk in cost averaging by capping the number of grid trades and testing in visual mode. Observe how a max trades filter reduces drawdown and boosts profit.

Develop an auto lot function that scales lot size with account balance via balance and volume increases, with min/max limits, two-decimal normalization, and adjust take-profit targets as balance grows.

Learn to add a trailing stop loss to a MQL5 expert advisor for a black fairy hedging grid strategy, offering profit target and trailing stop options to lock in profits.

This lecture shows adding a trailing take profit to an expert advisor to prevent runaway grid by using a moving average as the trailing exit in grid trading.

Fixes a bug in trailing stop logic by tracking last buy and sell prices using ask and bid prices before trade entry, ensuring correct grid entries and take profit.

In this lesson, we debug an MQL5 EA by fixing how trades are counted, separating pi and cell counters, and testing with position info to ensure correct grid cell entries.

Diagnose the mql5 expert advisor to stop grid entries on every tick, trigger only on price action beyond keltner channel, and review trailing stop loss and trailing take profit setups.

Add hedging capability to the expert advisor and hedge all pie trades and sell trades; compute the total lot size with a by position size function that sums trade volumes.

Build hedging functions for an expert advisor, add a hedge lot multiplier, and implement Keltner channel breakout rules to place hedge trades with disciplined sizing.

Explore setting a hedge basket target in MQL5 as this lecture demonstrates hedging logic with boolean controls, profit-target close-all, and iterating positions to calculate total hedge profit on Metatrader.

Fix a bug in the black fairy hedging grid scalping strategy by filtering hedge trades during trailing stops and using comments to prevent premature stop losses.

Add a loss recovery feature with two exclusive options—hedging and trailing take profit—controlled by a loss recovery method enum; switch in tick to run the chosen method (default hedging).

Optimizing an expert advisor for a grid hedging strategy, the lecture focuses on four trade management parameters—grid distance, load multiplier, hedge load multiplier, and maximum trades—while avoiding curve fitting.

Thank you for joining the MQL5 projects course on the black fairy hedging grid scalping strategy. Apply what you learned to your personal projects and contact us with questions.