Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Vikas Negi
How to Build a Pump.fun Sniper Bot in Python
API TABLE OF CONTENTS 5.0 | by Vikas Negi | Edited by Brian Lee - Updated February 27 2026 Solana launchpads such as Pump.fun list new memecoins continuously, and price discovery can move quickly. For developers, that pace makes automated monitoring useful for running consistent, rules-based entry and exit logic. A sniper bot is a tool designed to automatically buy newly launched tokens the moment liquidity becomes available on launchpads such as Pump.fun.
How to Automate Crypto Technical Analysis with Python
API TABLE OF CONTENTS Vikas Negi | Edited by Brian Lee - Updated October 09 2025 When performing technical analysis in crypto markets, most people often start by exploring price charts, drawing trendlines, and trying to spot patterns manually. Such a process is often prone to inaccuracies, time-consuming, tiring and hard to scale. If you want to analyze multiple assets, test strategies, or react to market moves in real time, manual charting quickly hits its limits.
How to Export Crypto OHLC Chart Data
API TABLE OF CONTENTS 5.0 | by Vikas Negi | Edited by Brian Lee - Updated August 14 2025 Whether you are a seasoned trader building new strategies, performing market analysis, or just someone starting fresh with exploring crypto trends, having access to accurate historical price data is essential. For traders, analysts, and developers alike, OHLC and OHLCV data is usually the first step toward gaining deeper insights.
Rebranding your EV without losing what early adopters loved
Marketing Okaya Power branding marketing strategy automobile branding EV Electronic Vehicle Okaya EV OPG Mobility & Power
Vikas Negi - Vikas Negi is AVP & Head of Marketing, PR & Ecommerce at OPG Mobility & Power - afaqs!
Join afaqs!. By clicking the button, I accept the Terms of Use of the service and its Privacy Policy, as well as consent to the processing of personal data. Don’t have an account? Signup
Unleashing LLMs with Team Red: Your Guide to AMD-Powered Local AI
Because your gaming GPU can do more than just crush frames When it comes to AI and machine learning, one company has undoubtedly dominated the conversation: NVIDIA. Their CUDA compute stack and powerful GPUs have become the default choice for training and running large language models (LLMs). From casual experiments to cutting-edge research, it often feels like if you don’t have a shiny green GPU, you’re simply left out of the game. But what about their closest competitor Team Red?
Analyzing Nextcloud Server Logs using DuckDB
Can data help us identify potential cyberattacks? Vikas Negi · Follow Published in Data Science Collective · 7 min read · -- Photo by Scott Rodgerson on Unsplash Ever since I repurposed an old laptop into a home server, I have been looking for applications that could be self-hosted. I came across Nextcloud many years ago and immediately fell in love with everything it promised and stood for. I managed to set it up on Ubuntu after going through some online guides.
Algorithmic Trading with Python: How to Execute Trades on a DEX
API TABLE OF CONTENTS Vikas Negi | Edited by Julia Ng - Updated December 11 2024 Trading on a decentralized exchange (DEX) such as Uniswap is fundamentally different when compared to a centralized exchange (CEX) such as Coinbase or Binance. Users on a DEX connect with their crypto wallets and interact directly with a smart contract, in order to swap different tokens on a given network.
How to Build a Crypto Arbitrage Bot (Python Guide)
API TABLE OF CONTENTS 4.5 | by Vikas Negi | Edited by Julia Ng - Updated July 15 2024 In the world of finance, arbitrage is a strategy where securities, commodities or currencies are purchased in one market, and then sold at a higher price in another market. The price difference between the two markets minus any trading fee becomes the profit. For cryptocurrencies, most of the trading activities occur 24/7 across numerous exchanges.
The One Billion Row Challenge in Julia
What can data scientists learn should they choose to accept this mission? Earlier this year, Gunnar Morling launched the One Billon Row Challenge, which has since gained a lot of popularity. Although the original challenge was meant to be done using Java, the amazing open-source community has since shared impressive solutions in different programming languages.
Create a Crypto Portfolio Dashboard (Python Guide)
API TABLE OF CONTENTS Vikas Negi | Edited by Julia Ng - Updated May 20 2024 Building a cryptocurrency portfolio dashboard is a great way to start learning more about this emerging financial market. Like any other investment, it is also subject to a certain degree of risk. Therefore, once a portfolio has been created, it becomes important to continuously keep track of its growth.
Working with MS SQL Server in Julia
Time to supercharge your data analysis workflow SQL databases are one of the most widely deployed software around the world. They form the backbone of numerous applications ranging from business data analytics to weather forecasting. A number of client-server implementations currently exist, and Microsoft’s SQL Server happens to be one of them. The fully-featured developer edition is available for free. It runs on Windows, Linux and via Docker.
Visualizing Developer Activity via the GitHub API
Let’s start by determining the number of contributors to a given package using the function shown below. We will do this for all the packages in our list, and then plot the results using @vlplot macro from VegaLite.jl. It seems DataFrames.jl currently has the highest number of contributors, which is not surprising given its utility in almost all data science workflows. Plots.jl is a close second, and has the highest number amongst all plotting packages used in this comparison.
Are Your Playlists Groovy Enough?
Photo by Blaz Photo on Unsplash Recently, I came across some excellent articles where the authors had made use of Spotify’s API to analyze their music data. This made me very curious, and I decided to try doing something similar using Julia. Thankfully, the wrapper for the API has already been implemented in Spotify.jl, but the package isn’t registered yet. That’s of course not an issue, we can always install it directly from its GitHub repository.
Visualizing COVID-19 data using Julia
Exploring a powerful alternative to Python and R Photo by Clay Banks on Unsplash Julia is fairly well-known in the world of scientific computing. Following the release of a stable 1.0 version in 2018, it has gradually matured into a highly powerful general purpose programming language. Julia is dynamically typed, designed to be as fast as C (see benchmarks) and makes use of an impressive math-friendly syntax.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Vikas
Contact Vikas, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack