Online trading project details
Their team helped small traders to get prepared for the new retail and sell their goods online without any technical knowledge and expertise. On patterns of Tohfay and Tradekey, many other sites established later, like Daraz-pk, telemart. Shares trading in stock exchange can provide reward and investment in stocks may increase in value besides paying dividends to its investor. Shareholder receives rewards when the company performs well and the value of shares goes up.
But if the company does poorly, the share price falls down and the value of investment will be reduced. Among other issues, the performance of shares market, economic environment, and political stability are all responsible for increase or decrease in the value of investments.
Strength to sustain this risk with careful planning results in reward and shareholders can receive the prospective return on their investment as much higher than that on other investments. All companies engaged in stock trading with or without on line trading platform are required to observe the Securities and Exchange Commission of Pakistan as the financial regulatory agency in Pakistan for their business.
Online trading can be availed by resident and non-resident investors, subject to meeting criteria prescribed by the regulatory authority. Listed below are some steps taken in this behalf:. The rise of e-payment products like e-wallets, m-wallets, multi-purpose cards and smart applications evolved by new technologies like Near Field Communications NFC cards and non-bank players like Payment System Operators PSOs and Payment System Providers PSPs are incoming to the marketplace for joint manufactured goods or service modernization.
The State Bank in its annual payment system review for the Financial year has disclosed that Pakistan shows its advancement towards quickly emergent international payments practices, with reasonable increase in usage of e-banking as recorded in Financial Year Per quarterly reports, Also users of internet and mobile banking hit The Karachi Police of Sindh capital with its plan to facilitate the citizens of Karachi to register online complaints that can be converted into First Information Reports FIR is another step towards online applications for the benefits of Pakistani people.
This move by Karachi Police is replication of a similar project in Khyber Pakhtunkhwa. From Wikipedia, the free encyclopedia. This article's tone or style may not reflect the encyclopedic tone used on Wikipedia. See Wikipedia's guide to writing better articles for suggestions. July Learn how and when to remove this template message. Kazmi Nov 14, Retrieved March 8, Electronic Commerce 9th Edition. Retrieved June 6, Retrieved March 12, Retrieved january 28, Check date values in: Investor Guide All you need to know Vol: Archived from the original PDF on September 24, Retrieved March 2, Securities and Exchange Commission of Pakistan.
Archived from the original PDF on February 9, Finance Ministry of Pakistan: Retrieved March 3, We now have both powerful machines and enough data to process. With this in mind, my inner engineer got excited at the possibilities of tackling the market with today's advancement in technology. Besides that, I have an addiction for creating fascinating projects and this was no exception.
The huge advantage is that you are not necessarily starting with a handicap against the big trading firms. That's because when it comes to stock trading, even microseconds could make trades go wrong — such as your bot falling victim of a faster bot's bait offer. And guess who owns the faster servers and bots? With cryptocurrencies however, these small time increments are not nearly as important.
Although I believe it's the golden age to be in the Bitcoin market because it's imperfect , I quickly abandoned the idea maybe too quickly? Without boring you with technical details any longer, the solid trading APIs were mostly based on REST, which is not fast enough for what I was aiming for. For proprietary reasons I will abstain from publicly discussing a lot of details about the technical implementation. Although I get many requests to open-source the project, I believe that disclosing deep details of the models or prediction approach would hurt the advantages that this solutions has over the other existing bots.
However, for anyone willing to learn more about that, I would be more than happy to discuss in private, to some extent. Long story short, I ultimately ended up going for the stock market, but not into high frequency trading in its real meaning. My bot holds a single position from seconds to minutes sometimes even hours , which makes it more of an automated trader than a high frequency trader.
The reason behind this is that being an individual trader makes it extremely hard to compete with the big guys, as you're lacking perks such as very powerful hardware, advance trained software, and great locations for your servers.
The closer to the stock exchange you are, the faster you receive the information. Large investment servers are literally paying millions to get their servers a few miles closer to the exchanges. Their limitation is 3 requests per second, and this was more than enough for my new strategy.
Getting solid historical financial data isn't cheap, and with so many people hitting the providers to scrape and download data, I don't blame them for limiting the offered information. Intrinio is a good provider for real-time stock quotes at very inexpensive prices. However, getting access to more in-depth data would always yield better results. I built the first prototype in a little under a month.
I was working late hours, trying to find time around my daily job as a freelancer. At this point the bot wasn't very smart. It took me about 2 more weeks to feed it with data until my error rate was satisfactory, and another 2 weeks to test it before putting it in production.
Summed up, the technical implementation of the current version took about 4 months, with some more improvements along the way. Since I publicly announced it , I've been receiving dozens of offers from trading companies. At the moment the system gives me an edge over other traders. If I sold it, I'd be giving this advantage to other traders and, subsequently, losing my lead.
Although I do not exclude a future buyout, I am presently focusing on improving the product and trying to scale it. One of the things that I plan on doing soon is increasing the capital and therefore putting the bot through more trading volume. There are tons of improvements I have in mind, especially on adjusting the position-holding time span, as well as solutions to make it more lightweight, facilitating larger volumes.
I wasted way too much time trying to apply high frequency trading in Bitcoin. At first the idea sounded great, but I was soon facing a lot of technical issues trying to scale the amount of requests. However, I am not yet convinced that it's impossible to achieve true HFT with cryptocurrencies, so it might be something I come back to in the future. After drifting away from the idea of HFT due to the technical limitations, I looked into a more analytical approach in automated trading.
Most of those concepts couldn't be applied in the Bitcoin market, as it's highly unpredictable, making it hard to shape the models around it. That's when I decided to stick to the stock market. Another big mistake in the beginning was relying too heavily on models.
Instead of trying different approaches in analyzing the data I had, I relied solely on the models for identifying profitable patterns without investing time into other more direct solutions. Models are only simple real world abstractions, and my common sense has saved me more than once. Now this is not by any means a reliable metric, and there are many factors that affect it. The bot has not been tested enough to guarantee that this isn't just a fluke it might as well be.
Large investment management companies would do anything to achieve those statistics, and I'm sure I won't keep up that amount of success in upcoming trades. The success so far was also greatly impacted by the favorable market conditions, chosen stocks, and the fact that the bot was running intermittently. I learned this the painful way. Not too long ago the market went pretty crazy, and I'd be lying if I said that I wasn't expecting some major crashes of the stocks I was trading. Although my stop-loss saved me from some brutal losses, had I not stepped in at the right time, the bot would've ruined all the profit from the past months.
That event really got me thinking, and I decided to stop it running for a few days until I fixed that loophole. This was also a great learning experience for me, and I believe that without going through those ups and downs, I would've never managed to get the algorithm to where it is today.
I have no regrets losing time on Bitcoin, as it gave me a deeper understanding of how cryptocurrency trading works, which might prove useful some day. Probably my biggest single advantage is being a starry-eyed young dreamer.
To some extent, this allows me to believe enough to put effort into ideas in that others wouldn't.