You will get a custom Python alternative data and news sentiment engine for trading
Project details
Standard technical indicators like RSI or Moving Averages are inherently flawed because they rely on historical price action that has already been digested by institutional players, if you are waiting for a crossover on your chart you are already too late because the real market move was dictated by a central bank announcement or a macroeconomic catalyst minutes before the price moved.
I engineer custom Python alternative data engines that ingest raw financial news streams and institutional filings in real-time, we do not use basic keyword matching logic that triggers false positives, i build the asynchronous architectural backend that processes unstructured text through advanced natural language processing to assign a strict mathematical sentiment score to market events. Whether you need a localized engine monitoring specific equity catalysts or a massive webhook pipeline feeding sentiment vectors directly into your trading terminal I construct the high-speed infrastructure to ensure your algorithms react to the news before it hits the charts, stop trading based on lagging indicators and start executing on the data that actually creates the volatility.
I engineer custom Python alternative data engines that ingest raw financial news streams and institutional filings in real-time, we do not use basic keyword matching logic that triggers false positives, i build the asynchronous architectural backend that processes unstructured text through advanced natural language processing to assign a strict mathematical sentiment score to market events. Whether you need a localized engine monitoring specific equity catalysts or a massive webhook pipeline feeding sentiment vectors directly into your trading terminal I construct the high-speed infrastructure to ensure your algorithms react to the news before it hits the charts, stop trading based on lagging indicators and start executing on the data that actually creates the volatility.
Programming Languages
Python, Java, GoCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$850
|
Standard
$2,200
|
Advanced
$4,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Install Script | - | ||
Test Script | |||
Task Automation | - | - |
Frequently asked questions
About Eduardo
Senior Anti-Bot Automation Engineer & Quant Developer (Python/C++)
Divinopolis, Brazil - 12:50 am local time
I am a Systems Engineer specialized in high-level automation and quantitative trading. I don't just write scripts. I build resilient, stealthy, and industrial-grade architectures. When it comes to anti-bot bypass and enterprise web extraction, I engineer custom headless browser stealth using Playwright, Puppeteer, and Selenium. I routinely reverse-engineer WebGL, Canvas, and WebRTC fingerprints. To bypass strict Datadome, PerimeterX, or Akamai checks, I deploy kernel-level hardware injection like virtual V4L2loopback devices. This allows complex DOM parsing and CAPTCHA circumvention for massive B2B data pipelines.
On the financial engineering side, I develop fail-safe Expert Advisors using C++ for MT4 and MT5. My algorithmic trading architectures rely heavily on Smart Money Concepts. I map liquidity sweeps, order blocks, and multi-timeframe price action entirely without lagging indicators. I also implement stealth trade management to hide stop losses and take profits from brokers, preventing virtual stop-outs. This includes real-time WebSockets integration and OS-level memory reading for dynamic web brokers. I only take on complex, high-value challenges. If your current bot is getting blocked or if you need a bulletproof financial engine ready to protect real capital, let's discuss your target and scale.
"At 6, I disassembled toys to understand their mechanics, by 12, I was captivated by the intersection of art and mathematics. I see the micro and macro connections like a musical arrangement, to me, everything is a grand opera; a harmony that makes my eyes shine."
Steps for completing your project
After purchasing the project, send requirements so Eduardo can start the project.
Delivery time starts when Eduardo receives requirements from you.
Eduardo works on your project following the steps below.
Revisions may occur after the delivery date.
Data Source Architecture
I analyze your required alternative data feeds to build the precise network ingestion logic needed to extract unstructured text without triggering institutional firewalls or rate limits.
Sentiment Vector Engineering
I develop the core Python NLP logic to process raw market data converting human language into a quantifiable numeric vector that your algorithms can use for immediate decision making.