Experts: OHLCMTF Scalper EA - Multi-Timeframe Price Action
OHLCMTF Scalper EA - Multi-Timeframe Price Action:
Author: Amanda Vitoria De Paula Pereira
Hi everyone, thanks for checking out the OHLCMTF Scalper, i built this EA to handle structural price action across multiple timeframes while keeping the chart clean and free from lagging indicator noise.
I’d really value any technical feedback, bug reports, or ideas for further optimization you might have. I'm curious to hear how it performs in your specific trading setups, let's discuss any improvements here, happy trading
Hi Farrukh, thanks for testing the EA, because XAUUSD and BTCUSD possess drastically different volatility profiles, tick values, and daily ranges, there is no universal 'best' set file, the engine is structurally robust, but you must run a Genetic Algorithm optimization in your MT5 Strategy Tester using your specific broker's raw tick data to find the optimal OHLC timeframe combinations for your personal risk appetite.
@graukrieger Thanks! Keeping the execution logic strict and entirely free of lagging indicators was the main objective here, glad you liked the architecture
input group "--- BAR SETTINGS ---" input int Look_Back_Bar = 300; input int Look_Forward_Bar = 10; input group "--- BUY CONDITIONS ---" input bool Buy_Cond_1 = false; input bool Buy_Cond_2 = true; input group "--- SELL CONDITIONS ---" input bool Sell_Cond_1 = false; input bool Sell_Cond_2 = true;all of these inputs are just blank and empty they go no where no logic / function behind them. if you look up in the the full source code they are only defined as an input at the top of the code but there is no function for any of these in the rest of the code.
OHLCMTF Scalper EA - Multi-Timeframe Price Action:
Author: Amanda Vitoria De Paula Pereira
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OHLCMTF Scalper EA - Multi-Timeframe Price Action:
A strict Multi-Timeframe Price Action Expert Advisor that trades based on precise OHLC conditions across different timeframes simultaneously. It features pending order entries, role reversals, and dynamic risk management without using any lagging indicators.
Author: Amanda Vitoria De Paula Pereira