Linux system and network, administration, cybersecurity, administration and pine script for tradingview

I have a diverse background in various areas, especially within the cryptocurrency space. Here's a bit about my journey: Cryptocurrency: I've been deeply involved in numerous crypto projects, from starting and managing them to running established ones. Between 2019/20 and 2021/22, I managed a vibrant crypto community of around 2,000 members. My responsibilities included overseeing trading systems with accounts ranging from $50k to $1M, performing daily technical analyses, and mastering market execution and risk management over the last three years. NFTs: For the past five months, I've managed a Discord and Twitter community with over 40,000 members for a DeFi/Play-to-Earn NFT game project. My role involved keeping the community engaged, organizing giveaways, and handling collaborations. Development: I've been coding Pine Script indicators for over two years, creating hundreds of trading indicators and bots. My latest work is showcased at tradingbot.crodl.com. I'm proficient in Python and have built web applications using Django, Flask, and FastAPI. I'm also skilled with MySQL and SQLite3 for database management. On the frontend, I use Tailwind CSS and Next.js with React to create dynamic, responsive user interfaces. Additionally, I've developed automated news sites, like news.crodl.com. Group Management: I've managed a trading server with over 2,000 members for more than two years and an NFT server with a combined Twitter following of 40,000 members. Social Media Management: I've created ads and posts using tools like Canva and video editors, and I've also produced YouTube videos. Graphic Design: I’ve developed multiple websites and ads, focusing on graphic design to create eye-catching trends in specific niches. Sales: I've sold various courses and memberships online, with prices ranging from $50 to $200 for indicator packages, $500 to $1,500 for app development and freelance projects, and $1,500 to $4,000 for group memberships. I've been working remotely via Zoom and Google Meet for the last few years. I'm highly motivated, tech-savvy, and passionate about crypto-related projects. I'm available at any time, regardless of the timezone.

I automate the boring, expensive, error-prone back-office work that finance and insurance teams still do by hand — pulling data off carrier/vendor portals, reconciling commissions and payments, and turning messy spreadsheets and PDFs into clean reports that are right the first time. For eight years I've been the data-and-automation engineer behind an enterprise final-expense insurance operation (~800 staff): multi-carrier reconciliation, commission and funding pipelines, daily executive reporting that has to be correct at 7am because the floor opens at 8. I know carrier portals, draft/payment data, and the exact places manual processes break — because I've automated them at scale. I also build the systems behind the data. I built katafi solo — a production crypto-trading platform Python + Postgres, a live Binance market-data pipeline, a backtest engine, and a TradingView Pine→TypeScript indicator porter. End to end, no team. Where I'm strongest: • Back-office automation — Selenium/Playwright portal automation, PDF/Excel extraction, commission & payment reconciliation, scheduled reporting that doesn't break at 3am. • Data engineering — Python ETL, PostgreSQL at scale, raw-SQL optimization, cron/queue jobs, dashboards. • Fintech & real-time systems — exchange API integrations, market-data pipelines, Pine→TS ports. • AI where it earns its place — wiring LLM/OCR into messy real-world data. I ship working features; I'm not an ML researcher. How I work: scope upfront, weekly check-ins, working code at every milestone, credentials handled securely, no ghosting. You're talking to the engineer building it — no agency overhead. If you've got a manual process eating hours, or a brief that needs scoping, send it. I'll tell you honestly whether I can build it, how long it takes, and what it costs. — Shayan

I'm an architecture engineer and active trader who builds production-grade quantitative trading infrastructure: real-time signal systems, market-scanning engines, backtesting pipelines, and the risk-management and journaling layers around them. I don't just prototype in a notebook — I build systems that run on live market data and hold up under real conditions. What I can help you with Real-time signal & monitoring systems — multi-ticker live monitoring, tick-to-bar synthesis, regime filtering, position monitoring with enforced risk rules (Python, FastAPI, WebSocket feeds). Strategy review & diagnosis — scoring models, gate logic, entry/exit triggers, and whether backtest results are realistic for live markets. I identify false positives, missed opportunities, and the gap between backtest and live performance. Backtesting & statistical validation — including honest failure-mode analysis: data leakage, overfitting, and paper-vs-live divergence. MCP server development — connecting trading systems to LLM/AI workflows (I've built a 30+ tool MCP server for my own trading platform). Full-stack data tooling — Supabase, dashboards, data pipelines, self-hosted deployments. Selected work Production real-time trading signal system. A live system running on real market data with a strictly layered architecture (data / services / API / strategy separation, no circular dependencies). Handles concurrent multi-ticker monitoring, 1-minute bar synthesis, 5-minute regime classification as a filter, and position monitoring with program-enforced stop-loss rules. Quantitative review of 895 validated trades. I ran an attribution analysis that isolated the real edge-killer: the strategy carried positive expectancy on paper but turned negative in live execution — same win rate, driven by loss aversion under real capital. The conclusion was that this was an execution problem, not a signal problem. That kind of evidence-driven, no-flattery attribution is exactly how I approach any system review. Systematic ML / statistical validation — and knowing when to stop. I tested BOCPD change-point detection, grid search, and machine learning (LightGBM regression + random forest) to find high-quality 1-minute entry signals. Results were no better than a coin flip, whether signals were hand-labeled or algorithmically labeled. Rather than force a bad approach, I pivoted back to first principles: I found that most classic indicators lag and can't represent trend, so I built a moving-average-based trend filter that cut noise by roughly 90% at a 2.0–2.7% false-negative rate. Tools Python · FastAPI · Supabase · Pine Script / TradingView · yfinance & broker APIs (Tiger) · pandas · HTML/JS. Also a C++/PHP and Unreal Engine background — I pick up new stacks fast. How I think about trading Trading is a probability game. In my experience the order of what actually matters is mindset > discipline > position sizing > analysis — analysis is the smallest lever, not the biggest. If final win rate = strategy × execution, execution almost never multiplies above 1; the real job is to keep weak execution from dragging a good strategy down. I build systems with that reality designed in — enforced rules, not just good signals.

Businesses waste weeks on tasks that a well-built AI workflow handles overnight. I build those workflows — and I've done it across commodity trading operations, forex SaaS platforms, and supply chain systems, not just demo projects. I specialise in Claude-powered automations, LLM prompt engineering, and end-to-end AI agent builds using tools like n8n, Make, and the Anthropic API. My background spans six-plus years running a palm kernel commodity aggregation business in Nigeria, developing FXAuto (a forex signal automation SaaS with FastAPI + MT5 integration), and consulting as a freelance AI prompt engineer for businesses across sectors. What I build for clients: Claude + n8n/Make automation workflows for business operations LLM prompt systems: structured extraction, classification, document processing AI agent pipelines: email triage, lead qualification, content generation systems Custom dashboards and admin tools for margin decisions and data tracking Forex automation: Pine Script, MQL5, signal systems, MT5 API integration Unlike most AI freelancers, I understand how real business operations run — inventory, pricing margins, buyer pipelines, trade logistics. That means the automations I build are grounded in actual workflows, not theoretical prompts. I hold a Data Analytics certification from ALX/ExploreAI Africa, a Healthcare Management qualification from Coventry University, and have built active products including FXAuto (fxautomation.lovable.app) and a PKC/PKO Export Readiness resource kit sold internationally. If you need an AI system that actually works inside your business — not a chatbot demo — send me a message. I respond fast and come with a clear proposal.

Expert Forex Trading Bot Developer | Multi-Platform Specialist I’m a professional algo trader and forex bot developer with years of experience coding high-performance automated strategies. I specialize in developing, optimizing, and converting trading bots for MT4, MT5, NinjaTrader, cTrader, TradingView, Quantower, and more. Whether you need a custom EA, strategy automation, or indicator conversion, I deliver precision, efficiency, and profitability. Let’s bring your trading ideas to life! 💡📈

Hello, my name is Andrey Luchka, and I have 19 years of experience as a developer, with a strong focus on PHP and Laravel, particularly in Yii2 and Laravel frameworks. I specialize in building complex CRM, ERP, and financial systems with scalable and robust architectures. Over the course of my career, I have developed and integrated numerous APIs and worked with a wide range of technologies, including JavaScript (Vue, React), Python, Docker, and more. My skills include: PHP: Laravel & Yii2 frameworks, microservices, API development, and documentation JavaScript: Vue.js, React, Three.js, HTML5 Canvas, and dynamic 3D objects Python: Automation, web scraping, WebSocket, and integration with third-party services Docker: Containerization and deployment of projects Databases: MySQL, PostgreSQL, MongoDB (complex queries and optimization) API Integrations: Google, TradingView, Binance, KuCoin, Telegram, payment systems, etc. Neural Networks: Basic implementations for various use cases Frontend: Experience with WebRTC, RTMP, and frontend integration through API services Additional: C++, C#, Pine Script, Cordova, and Telegram Mini Apps development I prefer working on projects with advanced architecture and am committed to delivering quality results on time. I am open to remote work with a flexible schedule and long-term collaboration.

I’m a developer experienced in building websites for small businesses, i can handle Part Time Job, i have 2 years experient with EA, Indikator (MQL5) and (PineScript), 1 Year experient with HTML, Js, gs, Python Scraping Api Knows HTML, C++, MQL5, PineScript, Js, gs, and Python, Regular communication is important to me, so let’s keep in touch.

I'm a full-stack developer with 3+ years of experience building production FinTech systems — most recently as a core engineer on a P2P payments and trading platform , handling payment gateway integration, MT5 connectivity, real-time transaction pipelines, and KYC/AML flows. What sets me apart: I'm also an active trader (5+ years across MT4/MT5, crypto, and equities), so I understand trading systems from both the engineering side and the user side. I've built: MT5 Python automation frameworks (order execution, data pipelines) Real-time trading journals and analytics dashboards (Next.js, Supabase) Custom Pine Script indicators and trading bots WebSocket-based alert systems (Binance API, Telegram integration) Core stack: React/Next.js, Node.js, Python, Supabase/Postgres, REST & WebSocket APIs, MT4/MT5 (MQL5), payment gateway integration If you're building a fintech product, trading tool, broker platform, or need someone who can bridge finance logic and clean code — I can help you ship it fast and correctly the first time.

SMC Trading Expert | Prop Firm Specialist | Technical Market Analyst Professional Overview: "Success in the markets isn't about luck; it's about institutional precision and iron-clad discipline. As a dedicated Daytrader and Technical Analyst, I specialize in Smart Money Concepts (SMC), specializing in identifying high-probability institutional footprints. With over a year of intensive experience and $30,000+ in verified payouts, I have mastered the art of navigating high-volatility markets like Gold (XAU/USD) and Major FX Pairs. What I bring to the table: Institutional Strategy: Expert-level knowledge in Order Blocks, Liquidity Sweeps, and Volume-based confirmations. Prop Firm Expertise: Proven track record in passing challenges (10K, 50K+) and maintaining funded accounts through strict risk management. Technical Mastery: Advanced use of TradingView for in-depth market analysis and Pine Script logic. Execution Discipline: I trade what I see, not what I feel. My approach focuses on 1-2 high-quality setups per day with a minimum 1:3 RR ratio. Whether you are looking for a detailed market analysis report, a structured trading strategy, or guidance on navigating Prop Firm requirements, I deliver results backed by real-market experience. Let’s turn market data into actionable insights. Mert K."