vikaslamba.com | Vikas Lamba – Quant Finance | Data Science

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Title	Vikas Lamba – Quant Finance \| Data Science \| Algorithmic
Description	Quantitative thoughts and Vikas Lamba Quant Finance \| Data Science \| Algorithmic Trading Quantitative thoughts and observations “ I can calculate the movement of the stars, but not
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Server Information

WebSite	vikaslamba.com
Host IP	217.160.0.110
Location	Germany

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vikaslamba.com Valuation

US$1,365

Last updated: 2023-05-20 09:22:23

vikaslamba.com has Semrush global rank of 0. vikaslamba.com has an estimated worth of US$ 1,365, based on its estimated Ads revenue. vikaslamba.com receives approximately 157 unique visitors each day. Its web server is located in Germany, with IP address 217.160.0.110. According to SiteAdvisor, vikaslamba.com is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$1,365
Daily Ads Revenue	US$1
Monthly Ads Revenue	US$37
Yearly Ads Revenue	US$453
Daily Unique Visitors	10
Note: All traffic and earnings values are estimates.

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vikaslamba.com.	NS	86400	NS Record: ns1089.ui-dns.biz.
vikaslamba.com.	MX	3600	MX Record: 10 mx01.1and1.co.uk.
vikaslamba.com.	MX	3600	MX Record: 10 mx00.1and1.co.uk.

HtmlToTextCheckTime:2023-05-20 09:22:23

Vikas Lamba Quant Finance | Data Science | Algorithmic Trading Quantitative thoughts and observations “ I can calculate the movement of the stars, but not the madness of men . ” – Sir Issac Newton, 1720, after losing a fortune on stock market speculation. Winning with Quantitative Trading Quantitative Algorithmic trading is the computerised execution of the financial instruments following the trading strategies that are developed using advanced mathematical models. Quantitative methods are used for carrying out the research, analysing the historical data and using the complex mathematical and statistical models to find the trading opportunities that are … Read More » Polarized Fractal Efficiency In finance, the Polarised Fractal Efficiency (PFE) indicator was developed by Hans Hannula. This measure is becoming increasingly popular and is being adopted in many financial models. I often use it for stock price predictions in my models along with other indicators. I explain the theory and

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vikaslamba.com valuation and analysis