Genuine Performance Of Pie Super Techniques

Total Profit 648500

After Deducting Stoploss Losses

August 2018 Month Performance Overview

Date Commodity Buy/Sell Entry Target Stoploss Result Lots Traded Profit/Loss
2018-08-31 Gold sell 30310 30190 30390 Target Achieved 2 60000
2018-08-28 Gold buy 30160 30280 30060 StopLoss 5 15000
2018-08-27 Gold buy 29960 30050 29860 Target Achieved 5 45000
2018-08-24 Crude oil buy 4800 4837 4770 Target Achieved 5 18500
2018-08-23 Zinc buy 172.40 173.90 171.40 Target Achieved 5 37500
2018-08-21 Gold sell 29590 29450 29670 Exit In Profit 5 35000
2018-08-20 Gold buy 29490 29350 29580 Cost To Cost Exit 5 00
2018-08-16 Gold sell 29510 29360 29590 Target Achieved 5 75000
2018-08-13 Gold sell 29850 29710 29930 Target Achieved 5 60000
2018-08-10 Gold buy 29640 29730 29540 Target Achieved 5 45000
2018-08-09 Gold sell 29710 29580 29790 Exit In Profit 5 22500
2018-08-08 Gold sell 29650 29550 29730 Target Achieved 5 50000
2018-08-07 Gold sell 29650 29540 29750 Cost To Cost Exit 5 00
2018-08-06 Lead buy 144 145.30 143 Target Achieved 5 35000
2018-08-03 Gold buy 29590 29710 29490 Target Achieved 5 60000
2018-08-02 Gold sell 29740 29610 29820 Target Achieved 5 65000
2018-08-01 Gold sell 29780 29670 29870 Target Achieved 5 55000

The Future is Here: Artificial Intelligence in Trading Signals

AI Powered & Super Aaccurate Signals

Artificial Intelligence can help traders make smarter decisions in stock and commodity market through suitable accurate suggestions based on market movements and by analysing minimum 10 years market datas and constantly enhancing the customer experience and accuracy.

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Highest Accuracy

Artificial Intelligence (AI) and Machine Learning systems can be incredibly helpful tools for humans navigating the decision-making process involved with investments and risk assessment.

The impact of human emotions on trading decisions is often the greatest hindrance to outperformance. Algorithms and computers make decisions and execute trades faster than any human can, and do so free from the influence of emotions. We deployed more than 200 high power IBM GPU Servers for machines learning to achive the greatest accuracy for our customers.