Software development and data science team for you
Quant Coding is a software development and data science team that can develop web, desktop, and mobile applications for your business. We are also very experienced in data science, machine learning, and artificial intelligence and provide expert services in this area. Pick Quant Coding as your software and data science development company and you will not be disappointed. We deliver premium service at good value rates.
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Timber Finish, Pandra Management, Ghosal Real Estate Holdings LLC
Scraping scripts with Scrappy
For a young startup from the USA, we have completed a fairly challenging and massive scrape of online data. We have collected over 60 million data records from an online source and written this to the client database. For the project, we have used the robust Python scraping framework Scrapy utilizing a lot of the extensions available and building our custom extensions as needed. This involved making complex requests while maintaining some sort of “state” with the server through cookies and other items all that on separate proxies or “sessions” to allow timely completion of the job. We have used SQLALchemy, Pandas, and other helper libraries in Python to complete this job. In the end, the client was very happy with the results and the overall work on the project.
Genetic algorithm trading simulations
For one of our existing clients, we have completed a Genetic Algorithm script that would test different variations of a trading simulation. The algorithm was trying to optimize and narrow down the set of inputs that would produce maximum desirability (fitness) results of the simulations. The algorithm was deployed to run on AWS EC2 and utilize as many instances as are needed to complete the simulations in a timely manner. Connections with manager nodes were established using Web Sockets. Some of the fitness calculations were vectorized to save on computation costs for the client.
Machine learning classifier for delayed flights
Machine learning classifier for delayed flights
For our client, a US Flight Prediction company, we had to build a machine learning model that would aid in their decision making. The model successfully classified delayed vs on-time flights with excellent confusion matrix metrics. In this opportunity, our Data Science team had the opportunity to tackle a problem where we have to train on an imbalanced dataset. Our exploration took us testing different methods like XGBoost, Random Forest, Logistic Regression, and Decision Trees. Some exciting feature engineering using Graph embedding techniques spiced this for us just enough so that we absolutely loved the work we had to do. High accuracy, high precision, the high recall was something the client was delighted with. We keep working on this project, exploring new directions and moving towards full production pipline.
Stock market strategy backtesting application
Stock Market Backtesting Web App
We have built a stock market back-testing web application that runs on scalable AWS infrastructure. The core back-testing engine of the application is running on Quantstrat in R and allows ample possibles to our client to extend the back-testing platform with additional options for the users. Users are able to select a stock, define their initial equity, select technical indicators to use, and define parameters for those technical indicators. Then the user can define their entry and exit signals based on the technical indicators or take profit, stop-loss, and trailing-stop-loss % thresholds from the price. The application as we have built it works with over 53 indicators and provides extensive results to the users including full order books, transactions, trades as well as meaningful charts and summary results. The application also included a professionally designed front-end and a back-end to service the user requests. The back-end services users requests using the scale-able EC2 AWS infrastructure. This allows our client to grow and scale his business unlimited by cloud computing resources while at the same time providing significant cost savings by utilizing cloud computing servers only when needed and as-needed. We have used diverse technologies on this project: from AWS, Python with Flask, R with Quantstart as well as JavaScript VueJS for the front end. In addition, it involved integrating with Elementor Widgets in WordPress.
Reviews
the project
Data Collection & Analysis for Vacation Rental Developer
"Their knowledge about the technology and their communication skills were impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
CEO @ Ghosal Real Estate Holdings LLC. We develop high end vacation rentals and use technology to give us an edge!
For what projects/services did your company hire Quant Coding, and what were your goals?
We were looking to get competitive market information about overnight rental rates and occupancy. Once this information was collected from the internet, we would analyze this data to provide us with optimal rental rates for specific days of the year.
How did you select Quant Coding and what were the deciding factors?
They seemed to be aggressive in the bidding process and seemed to know exactly what they were doing. Communication was also easy since they speak english fluently.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
We had multiple rental companies to be scraped. This was done in three phases. We provided them the exact format in which the information had to be collected. Once this was done, they developed a script that would run every night and deliver the results to our mailbox.
How many people from the vendor's team worked with you, and what were their positions?
One
Can you share any measurable outcomes of the project or general feedback about the deliverables?
Project was delivered on time and within budget
Describe their project management style, including communication tools and timelines.
Mainly communication via messaging on Upwork.
What did you find most impressive or unique about this company?
Their knowledge about the technology and their communication skills were impressive.
Are there any areas for improvement or something they could have done differently?
I have not tested them in wider area of technology. So it is hard for me to say how they will do in other areas. But they did well in the specific areas that I used them for.
the project
Data Scraper Development for Data Analytics Company
"On top of the worst, aside from the time wasted with this company, we had also lost a significant amount of money."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
The founder of a start-up company looking at data analytics around various industries within the UK
For what projects/services did your company hire Quant Coding, and what were your goals?
Develop a data scraper to work on a daily basis from different websites. Perform calculations on the data so it can be displayed to the end-user in an easy to understand way
How did you select this vendor and what were the deciding factors?
Initially, quant coding was able to display some relevant examples to the type of work we needed but weren't able to demonstrate a complete match for what we needed.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
Various discussions took place in which a detailed requirements document was walked through and handed over. target prototype Images was also shared. It was expected that the solution will be developed in python, MySQL and JavaScript. They agreed to all of the requirements (with some clarification) and timelines were agreed however none of the timelines were made.
How many people from the vendor's team worked with you, and what were their positions?
We only ever heard face off to one person called Tomislav Naydovski. This was very disappointing because we were promised a project manager as well as access to other parts of the team as and when required however after the project was started it was established that it is a very small company who tend to contract out most of the work and just give the impression of a big presence.
Can you share any measurable outcomes of the project or general feedback about the deliverables?
None of the agreed deliverables was actually ever delivered and throughout various stages of the project, our contact (Tomislav Naydovski) at the company did not respond to emails or phone calls. In summary, there are no deliverables.
Describe their project management style, including communication tools and timeliness.
The project management style is very ad hoc and organised. For example, we were initially promised a weekly call to track progress however this agreement was not adhered to and we had to chase them all the time to set up a status meeting, which was always cut short.
What did you find most impressive or unique about this company?
Unfortunately, there is nothing impressive or even average about this company it has been a very disappointing experience. On top of the worst, time wasted with this company, we have also lost a significant amount of money (with nothing to show for the amount they demanded on a weekly basis)
Are there any areas for improvement or something they could have done differently?
This is a very long list of improvements but it could all be summarised by the company being honest transparent and sticking to what they say they will do.
the project
Predictive Data & Analytics for IT Business Service Provider
"They use a creative method to sort out data framework and modeling."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
CEO and co-founder
For what projects/services did your company hire Quant Coding?
Data engineering and Machine Learning algorighthms.
What were your goals for this project?
Collect data, reformat, structure data, build models, train, test and productionize.
How did you select Quant Coding?
Upwork
Describe the project in detail.
Collect data, reformat, structure data, build models, train, test and productionize.
What was the team composition?
1-2 data engineers and 1 data scientist.
Can you share any outcomes from the project that demonstrate progress or success?
Very competent, very responsive, independent, knowledgeable, creative and professional.
How effective was the workflow between your team and theirs?
Good to very good.
What did you find most impressive about this company?
They use a creative method to sort out data framework and modeling.
Are there any areas for improvement?
I wish they provided a more sustained communication thread with my team.
Quant Coding did a spectacular job. The project was a success and they were able to deliver the tasks on time. The team was knowledgeable and communicative.