Pine Script Indicators & Python Trading Bot for Automated Trading

Building this trading bot taught me how powerful clean architecture, modular design, and API‑driven automation can be. My goal wasn’t to create a complex system — but a simple, reliable, and transparent bot that anyone can understand. This project helped me sharpen my Python fundamentals, improve my debugging discipline, and design a structure that scales. Excited to keep improving it with strategies, risk checks, and backtesting. - Drafted with the help from Copilot. #Python #TradingBot #AlgorithmicTrading #PythonProjects #Automation #APIDevelopment #CodingJourney #LearningInPublic GIT hub link for code: https://lnkd.in/d_cCwG-r

I built a fully automated stock trading system using Python. At first, it looked perfect. Backtesting results were strong. Execution was smooth. No human emotion involved. But then the market did something unexpected. A sudden drop triggered conditions I hadn’t fully prepared for. That’s when I realized: Automation doesn’t remove risk. It just shifts where the risk lives. Now I focus less on “making profits” and more on “controlling damage.” Because in trading, survival comes first. Still improving the system every day.

From a simple log parser to simulating real SRE scenarios I extended my Log Analyzer project to make it more aligned with real-world production systems and incident handling. 🔧 What’s new: • Regex-based log parsing to extract timestamp, log level, and message • Top N error analysis using Python’s Counter • Error spike detection based on a time window (simulating incident conditions) 📊 Example insight: The tool can now detect abnormal error spikes within a short duration — something SREs rely on during production incidents. 💡 What I learned: Log analysis isn’t just about counting errors — it’s about identifying patterns, trends, and anomalies over time. 🔗 Project: https://lnkd.in/dEZyK7qH Next step: exploring real-time log monitoring and alerting integrations. Would love your feedback! #SRE #DevOps #Python #Observability #SiteReliabilityEngineering #LearningInPublic #GitHub

I built a fully automated trading system using Python. Not a simulation. A real system handling real money. It processes live market data, executes trades, and manages multiple positions in real time. At first, I thought automation would eliminate risk. But I was wrong. It doesn’t remove risk. It moves risk into system design. Now I focus more on: - execution reliability - risk control - handling unexpected market conditions Still improving the system every day.

Still monitoring trades manually? There’s a smarter way. In my latest video, I show how to use Python-based trading automation on a VPS so your strategy can run independently while you manage everything from your phone. From custom stop-loss and target settings to live order tracking, this setup is built for traders who want speed, precision, and flexibility. A solid starting point for anyone interested in algorithmic trading, mobile execution, and custom automation workflows. 🎥 Video link: https://lnkd.in/gkbh7CT7 #AlgoTrading #Python #Automation #FinTech #TradingAutomation #TradingStrategy #TradingBot #VPSHosting #Quant #AI #DeveloperTools #Tech #Investing #FinancialTechnology #StockTrading

💡 Built a Smart PDF Validator Tool (Python) I created a tool that can: ✅ Match PDF file name with internal content ✅ Validate RT ID (6-digit matching) ✅ Detect year automatically ✅ Compare fund name & investor name ✅ Identify valid and invalid PDFs Tech Used: Python | PyMuPDF | Pandas | Tkinter Why I built this? To reduce manual verification errors and speed up document validation process. Result: 📉 Reduced manual effort 📈 Increased accuracy Real-world problems = Real solutions 🚀 NAV India NAV Fund Services #python #automation #dataprocessing #ai #developer

The goal was simple: take a cluttered directory and transform it into a structured, searchable archive in seconds. Key Features: Sequential Numbering: Automatically renames files based on a custom prefix (e.g., Project_Alpha_001). Extension Filtering: Targets specific file types while leaving others untouched. Error Handling: Prevents accidental overwrites and handles edge cases with duplicate names. 🛠️ The Tech Stack Language: Python Library: os (for navigating the file system and executing renames) 💡 Why Automation Matters It’s not just about saving five minutes today; it’s about building systems that scale. Automating these "micro-tasks" frees up mental bandwidth for the complex problem-solving that actually moves the needle. Check out the snippet below to see how a few lines of code can reclaim your afternoon! #Python #Automation #Coding #Productivity #SoftwareDevelopment #WorkflowOptimization #PythonProgramming Kodbud

The "Bus Factor" of 1 🚌 If "Bob" wins the lottery and leaves tomorrow, does your operation collapse? In many teams, critical processes exist only in one person's head. They know exactly which button to click and which weird error message to ignore. That is a massive business risk. Automation is the ultimate documentation. When you write a Python script for that process, you are extracting the knowledge from "Bob's" head and saving it as code. The script becomes the standard operating procedure. Don't automate just for speed. Automate to insure your business against knowledge loss. #RiskManagement #BusinessContinuity #Python #Playwright #Operations Truly yours Bot.

Pine Script has hundreds of thousands of developers on TradingView. Most of them can't actually run their code anywhere else. That's the gap I've been closing for the past year with PyneCore — a Pine-compatible Python runtime (Apache 2.0) where ta.rsi(), strategy.entry() and the rest of the Pine namespace work the same way they do on TV, validated against TradingView reference values. Today I shipped two integration examples with FreqTrade, the open-source crypto trading bot (~42k stars on GitHub): → Pine indicators inside a Python strategy → A complete Pine strategy with FreqTrade as the execution layer The practical meaning for Pine developers: you don't have to choose between "the language I like writing in" and "automated execution on a real exchange." You keep the Pine code, your bot runs on whatever FreqTrade supports. This is one piece of a larger plan — a hosted Pine→Python compiler, a managed bot platform, and an embeddable WASM-based execution layer that runs Pine directly in the browser. But the FreqTrade bridge works today, no paid tier required. Repo: https://lnkd.in/d8PD8KTV #algotrading #pinescript #fintech #python #opensource

One step toward what PyneSys is really building: making Pine Script work everywhere — not just on TradingView. Today's piece is a public example showing how PyneCore plugs into FreqTrade. The hosted compiler, managed bot platform, and browser-native execution come next.