AI Trade Cloud (artificial intelligence exchange cloud) acquisition system states real-time economic data, exchange rates, commodities and precious metals prices data, through large data computing and intelligent system, mathematical model, accurately predict global exchange rates, commodities, precious metals such as price trends, and draw the final trading decision, form a very good system of artificial intelligence, combined with the short-term trading behavior through the midline of the analysis, data collection; model management, decision management, capital management, risk control management system evolved into a long period of stable, controllable risk, income can be expected to automated trading system.
At least: $1000; recommended: $2000;
Monthly income: 8-20%; annual income: 96%-200%;
System design parameters:
Daily withdrawal: 3-10%;
Maximum withdrawal 25%;
MFE and MAE Distribution Point Graphs
Maximum profit (MFE) and maximum loss (MAE) values are recorded for each open order during its lifetime. These parameters additionally characterize each closed order using the values of the maximum unrealized potential and maximum permitted risk. MFE/Profit and MAE/Profit distribution graphs display each order as a point with received profit/loss value plotted along the X-axis, while maximum displayed values of potential profit (MFE) and potential loss (MAE) are plotted along the Y-axis.
Place your cursor over parameters/graph captions to see the best and worst trading series. Find out more about MAE and MFE distributions in the article Mathematics in Trading: How to Estimate Trade Results.
The average slippage based on execution statistics on real accounts of various brokers is specified in pips. It depends on the difference between the provider's quotes from "AETOS-LIVE F2" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.