Raheel Ahmed Qureshi
Founder & Verified Financial Expert
Raheel is a specialist in High-Frequency Trading (HFT) infrastructure and Financial DevOps. Unlike traditional analysts who focus purely on chart patterns, Raheel focuses on the technology that executes the trade.
As a Verified Financial Expert, he founded AI Finance Bites to bridge the gap between institutional-grade trading setups and the retail market. His work has helped thousands of traders automate their systems and reduce latency.
Why Trust a Verified Financial Expert?
In an industry full of unverified gurus and “get rich quick” schemes, technical expertise is your only safety net. A Verified Financial Expert doesn’t just guess market direction based on feelings; they build the systems that manage risk automatically.
Core Competencies
- Algorithmic Execution: Reducing slippage through optimized server locations (NY4/LD4 data centers) to ensure orders are filled at the best possible price.
- AI Integration: Leveraging Large Language Models (LLMs) for sentiment analysis and fraud detection in payment workflows, removing human error from the equation.
- Risk Management Math: Applying strict mathematical modeling, such as the 2% Rule and Position Sizing formulas, to prevent catastrophic loss.
My Mission
“I believe the market is a math problem, not a casino. My goal is to give retail traders the same technological advantages—speed, data, and automation—that hedge funds use to dominate the market.”
The “Algo-First” Methodology
My approach to finance is distinct because it is built on the principles of DevOps engineering. In software development, we don’t deploy code without testing it. In trading, you should never deploy capital without a backtest.
I follow a strict 3-step methodology for every financial decision discussed on this site:
- Infrastructure First: Before analyzing a stock or crypto asset, I analyze the platform. Is the broker regulated? Is the spread tight? Is the API stable? If the infrastructure is weak, the strategy will fail.
- Data-Driven Signals: I do not trade on “news.” I trade on data. This means using indicators like the Yield Curve Inversion and Real Yield calculations to determine the true health of the economy.
- Automated Execution: Emotions cause losses. By automating entry and exit points (using tools like Limit Orders and Stop Losses), we remove fear and greed from the process.
What I Don’t Do
Trust is built on what you refuse to do. To maintain integrity, I strictly avoid:
- ❌ Pump and Dumps: I never promote low-cap “meme coins” or assets with zero utility.
- ❌ Unregulated Brokers: If a platform does not have tier-1 regulation (like FCA, CySEC, or FinCEN), I will not review it.
- ❌ “Guaranteed” Returns: In finance, there is no such thing as a guarantee. I only discuss probabilities and risk management.
My “Smart Money” Tech Stack
Transparency is key. To maintain my status as a Verified Financial Expert, I only recommend tools I have stress-tested personally. This is my actual daily trading infrastructure:
My Journey: From DevOps to Finance
My career did not start on a trading floor; it started in the server room. As a Verified Financial Expert with a background in DevOps, I noticed a critical gap in the retail trading market. While hedge funds were obsessing over nanosecond latency and colocation, retail traders were trying to run high-frequency bots on standard home WiFi.
This discrepancy is why I launched AI Finance Bites. I realized that the “edge” in modern markets isn’t just about predicting the next candle; it’s about having the infrastructure to execute on that prediction faster than the competition. My background allows me to evaluate brokers not just on their fees, but on their API stability and server response times.