assets supply demand physical equilibrium in financial market by artificial neural network

‎in this article supply demand based on prices volumes are extracted as measure of swaps between two or more indexes by neural network for recommend market makers to increase performance of large traded volumes in real time markets quotes‎. ‎neural network are widely applicable tools for develop operators performances in financial market applications‎. ‎in classic economy when an equilibrium was unbalanced must be a side of supply or demand was over than other one.in more indexes decisions for check balance condition between more than two indexes in real time market a neural network classification trigger is good suggestion‎. ‎other methods such as indicators oscillators and numerical methods and statistical methods were been slow‎. ‎the latency of candle data in clients solved by time stamp in log file and export of these triggers can draw by graphical line or shape in data.an equilibrium point as middle of these balances for pairs of indexes are connected with triangle shape‏‎.