Hello, I need to develop a Day trading robot/EA that can be automated to take bids 3 times in a day at specific times. The trades will be taking based on some value of inputs using price conditions for 3 timeframe. Each timeframe will be set by me ahead of the time. And Each timeframe will reduce from the first bid to the last bid. So for example if the first timeframe is 24 hours, the second may be 8 hours and the last 4 hours. For Each timeframe, the EA will identify the Highest price and the Lowest price of Each frame at the time of the bid action. And the EA will take a BUY at the TOP Price/Position and a SELL at the BOTTOM Price/Position. So, as a result at the click of a Button, which may be activated in the Morning for example, it will activate the bids at the set time frame and based on the price positions at the exact time, it will activate the bids for the period. So it means the bids will activate thrice daily according to the set timeframe and the High and Low prices in the course of the timeframes set at the beginning. Once the Action BUTTON is clicked, it will take the bids at the time set, as a result the time set must always be after the time of pressing the Action Button. The Profit and loss criteria will also be set as well from the variables. The EA will be such that it can be used on any product at anytime once its attached to it. An example of the view is below, where the Button is the ACTION BUTTON, the Past High is the HIGHEST PRICE for the timeframe selected, and the Past Low will be the LOWEST PRICE for the timeframe selected. So Each timeframe will update the High and Low prices at the time set and activate the bids at the right time. Any Outstanding bids will close after the next time the Button is pressed, or closed manually. Please note that I will be needing time to Test the new code after completion before we can conclude on the project I will also be needing the source code at the end of the contract. Post contract testing may take as much as 60 Days after conclusion of the project on the MQL site.