Genuine Performance Of AI HNI Super Pack

Total Profit 263100

After Deducting Stoploss Losses

February 2019 Month Performance Overview

Date Commodity Buy/Sell Entry Target Stoploss Result Lots Traded Profit/Loss
2019-02-28 Zinc buy 196.70 197.70 195.70 Target Achieved 2 10000
2019-02-27 Zinc buy 196 197 195 Target Achieved 2 10000
2019-02-25 Zinc buy 194.60 195.60 193.60 Target Achieved 2 10000
2019-02-22 Copper buy 455.50 458.30 452.90 Target Achieved 5 14000
2019-02-20 Copper buy 451.30 454.10 448.70 Target Achieved 7 19600
2019-02-19 Copper buy 448 450.80 444.50 Target Achieved 5 14000
2019-02-15 Copper sell 442 439.20 444.60 Target Achieved 5 14000
2019-02-15 Crude oil buy 3895 3927 3865 Target Achieved 5 16000
2019-02-14 Zinc buy 186.10 187.10 185.10 Target Achieved 5 25000
2019-02-07 Gold buy 33100 33198 33010 Target Achieved 5 49000
2019-02-06 Copper buy 447.50 450.30 445 Target Achieved 5 14000
2019-02-05 Zinc sell 203.20 202.10 204.20 Target Achieved 5 27500
2019-02-04 Copper buy 439.10 442.10 436.40 Target Achieved 5 15000
2019-02-01 Zinc sell 194.70 193.70 195.70 Target Achieved 5 25000

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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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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.