وعظ
سن اے غافل غفلت اندر ویلا گزر گیوئی
لُٹی جاون لوک خزانے تینوں خبر نہ کوئی
اج ویلا ہئی، چھڈغفلت نوں فیر کُجھ ہتھ نہ آوے
پھڑلئے پلہ پیر اپنے دا فضل ربی ہو جاوے
بنجر، کلر والی دھرتی تاں فردوس ہو جاوے
دلبر سوہنا تے من موہنا بردی نوں گل لاوے
اس نوں کدی وی موت نہ آوے اندر دویں جہانی
قسم خدا دی عبدالرحمنؔ ملے جے دلبر جانی
ماڑی والے دلبر سائیاں سُتڑے لیکھ جگائو
خالی جھولی بھر دیو میری خیر نظر دی پائو !
تُوں سخیاں دا سخی انوکھا ہرگز شک نہ کوئی
سب سخاوت کل جہاناں ختم تیرے تے ہوئی
Islam is the complete code of life. The Prophet (PBUH) and his companions made every effort to safeguard it. They handed it over in fully preserved form without any flaw to their true followers. However, adversaries of Islam have been trying to find faults with safety of Quran and the life of Prophet (PBUH). Orientalists are among them. Orientalists are those non-Muslim scholars, who do their research about Muslim’s beliefs, culture and values. Their purpose is to double edge. First to create doubts in the minds of Muslims regarding their religion. Secondly to marsh hated in the hearts and minds of non-believers. This is why these prejudiced scholars criticize Quran and the personal life of Prophet (PBUH). In the following discussion we have analyzed these objections in detail regarding the safeguard of the Holy Quran during the time of Muhammad (PBUH).
This thesis examines the impact of Technical Analysis on Karachi Stock Exchange by investigating the tools used for Technical Analysis for the sample period of 1997 to 2014. The KSE-100 index was examined to represent the market over the sample period for the following three aspects. First the results indicate that KSE-100 index do not follow random walk model by applying the Wright„s rank and sign variance ratio test. Secondly the study compared a variety of extremely popular technical trading rules based on simple moving averages, exponential moving averages, relative strength index and stochastic RSI to find the predictive ability of these indicators. The thesis also employed generalized regression neural network (GRNN) for stock prediction. The results show that these trading rules have predictive power over future price behavior. It is also evidenced that the inclusion of oscillators like RSI and RSIStochastic increase the performance in generating above average return. The combination of GRNN with simple moving averages also produced significant return. Based on these trading rules, the study proposed two trading strategy in order to know that whether investor beat buy-and- hold strategy. The results indicate that strategy based onthese rules have the ability to outperform the buy-andhold strategy. The results are significant even after considering the transactional cost. Technical Analysis is very effective for the investors in creating excess return for the sample period.