Update README.md

README.md

@@ -24,4 +24,4 @@ The initial perspective of this project was the implementation and the applicati
 However the project was expanded. We firstly estimated and eliminated stocks based on their [risk performance](https://www.investopedia.com/terms/r/riskmeasures.asp). We also applied [Deep Learning Techniques](https://towardsdatascience.com/predicting-stock-price-with-lstm-13af86a74944) to enhance the criteria <img src="http://www.sciweavers.org/tex2img.php?eq=x_1%2C...%2C%20x_n&bc=White&fc=Black&im=jpg&fs=12&ff=arev&edit=0" align="center" border="0" alt="x_1,..., x_n" width="76" height="15" /> used for each stock (*Technical Analysis*) and last but not least we used [Group Decision Making Method](https://www.seedsforchange.org.uk/shortconsensus) to reach a consensus upon the stocks used from multiple sources based on these criteria. We therefore applied [MCDA techniques](https://www.wikiwand.com/en/Multiple-criteria_decision_analysis) to reach a kernel of stocks in which we should invest in. Check *report* section for further analysis of the process.
 
 ## How did we work?
-<img src="https://github.com/jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis/master/photos/system.png" alt="https://github.com/Sonihal/NTUA-Multi-Criteria-Decision-Analysis/master/photos/system.png">
+<img src="https://raw.githubusercontent.com/jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis/master/photos/system.png" alt="https://raw.githubusercontent.com/jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis/master/photos/system.png">