I am a Trading Systems & Software Developer with strong expertise in NinjaTrader, TradingView (Pine Script), and other trading platforms, specializing in building custom indicators, automated strategies, and trading bots. I help traders turn their ideas into powerful tools that improve performance, accuracy, and execution. Beyond trading platforms, I also design and develop desktop applications and customized CRM systems tailored to business needs—ensuring user-friendly, efficient, and scalable solutions. My focus is always on delivering reliable, optimized, and client-specific software that solves real problems. 🔹 Core Skills: NinjaTrader 8 strategy & indicator development (C#) TradingView Pine Script indicators & strategies Algorithmic trading & automation Custom desktop application development (C# / .NET) CRM customization & database integration Strong problem-solving & client-focused solutions If you need a reliable developer who understands both trading logic and software development, I can help bring your projects to life.

Hi, my name is Javier! I am 26 years old and I am from Spain. I have more than 5 years of experience in Salesforce, mainly as a developer, although I have also worked as a consultant and managed a small team. I am now a freelancer and carry out projects focused on trading. I have worked on long-term structural solutions in large projects related to banks, electricity companies, NGOs, etc. I also have Platform App Builder and Platform Developer I certifications. In addition, I have experience in many other areas of development and infrastructure: database-level programming, REST API design and integration, process automation, Docker environment deployment, Linux system administration, web servers, use of tools such as Git, CI/CD, and working with distributed architectures. I have also worked with FastAPI, Python, C#, websites with authentication, security, tunnels, license control, scraping, VPS management, networks, proxies, etc. I adapt quickly, enjoy learning new things, and solving real technical problems. When I take on a new challenge, I don't stop until I succeed.

I was part a of Ukrainian trading team called expVV 2020 - 2024. My goal is converting an idea to strategy, building it with Tradingview for fast checking. After that, if the result is not too bad - I build algorithm with Python(it could be isolated script, or strategy based on Freqtrade trading bot). For the best visualizations I use Superalgos trading bot(if necessary). The final stage - deploying on AWS(or any other cloud). I'm experienced in Python (pandas, numpy, ML - scikit-optimize, matplotlib, ...), PineScript. I'll explain everything I code for You. I can automate your routine data processing tasks, including Excel. At the end you will receive one double-click script that will save many hours of your work and provide you with a ready-made report. Algorithm of our interaction: 1. Contacting and pre-consultation. 2. Definition of terms and approximate costs 3. After concluding the contract, you have an hour of FREE consultation to add/change/delete, as well as discuss the technical specifications. 4. Start the work with/without tracking tasks in Jira/Notion 5. Product review 6. Handshake or returning to the step 1 Tags: Python Pandas Numpy Excel Automation Crypto Trading Strategies / Indicators developing Backtesting / optimisation

Who I usually work for: data companies, individuals who want to automate their trading, and content creators who want to sell merch without getting overwhelmed with the complications regarding running web applications & compliance. What I offer: → Web Scraping - Full pipelines with detection-aware patterns (header alignment, IP rotation, rendering, proxies), plus data quality checks and a clean final dataset. → Trading indicators, strategies, backtesting, bots and alert systems - Tools: TradingView (PineScript), FxReplay, Freqtrade, StrategyQuant (consultations), 3Commas, MetaTrader, Telegram alerts, Polymarket, hosting on Zoner or Alibaba Cloud → E‑commerce setup - Platform setup (Shopify, WooCommerce, Fourthwall, OpenCart...) + integration to producers (Printify) + sample designs from a subcontractor (I manage design quality and final delivery, optional hosting) → Full Eshop Platform Management (of my own design) - End-to-end: DNS registration, product design & manufacturing (via Printify), ordering, payments, and customer support (with my LLC/agency). What I don't offer: → unauthorised penetration testing or scraping of publicly unavailable (paywalled/hacked) content → my own live strategies - you have to define the trading behaviour, I will code it → untested, poor-quality AI code (AI may be used, but I am fully responsible for the quality and will verify it) or vulnerable code → legal or tax consulting Schedule calls anytime in European waking hours.

Hi! I’m Wael Fouda, founder of AccumulationPro LLC — a US-based startup dedicated to building high-performance Quant systems. I specialize in Data Science, Machine Learning, and Neural Networks, with a strong focus on predictive modeling, forecasting, and applied AI solutions for finance and beyond. 🔹 What I Do Data Science & Machine Learning: ✅ Design and implement end-to-end ML workflows for classification, regression, and time-series forecasting. ✅ Build and train advanced Neural Network models for predictive analytics and financial forecasting. ✅ Apply feature engineering to deliver reproducible, mentor-friendly solutions. Interactive Dashboards & Visualization: ✅ Develop professional dashboards using Streamlit for real-time insights and decision-making. ✅ Integrate Plotly and Python visualization libraries to make data exploration intuitive and interactive. ✅ Deliver clean, user-friendly interfaces tailored to business and trading needs. Quantitative Finance & Trading Systems: ✅ Build QuantConnect Research Notebooks for systematic strategy development. ✅ Design and backtest quantified trading strategies with portfolio-level optimization and risk management. ✅ Implement reproducible workflows for algorithmic trading, ensuring robust performance and scalability. 🔹 Why Work With Me? - Reproducible workflows: Every project is documented and structured for clarity, scalability, and mentoring. - Practical impact: My solutions are not just theoretical — they’re validated, backtested, and optimized for real-world use. - Client-focused delivery: I maintain clear communication, and professional documentation. 🔹 Tools & Platforms: - TradingView Pine Script for non ML systems. - AmiBroker for advanced backtesting and optimizations. - Python for ML and Neural Network based systems. - Streamlit, Plotly, Matplotlib for visualization and dashboards - QuantConnect for research notebooks and trading strategy backtesting + Live Deployment.

I am a professional trading bot programmer. I started trading in 2013, and started programming bots since 2014. I have a Bachelors degree in Computer Science with First-Class Honors. I am experienced in: MQL4 / Meta Trader4 MQL5 / Meta Trader 5 Ninja Script / Ninja Trader Trading View / Pine Script My work follows a pattern of communicating the specifications for the task until I understand them fully. Then I start implementing the bot while applying rigorous testing both back-testing and live testing. I also follow with the client on the progress and constantly keep in touch.

An enthusiast of algorithmic trading and digital innovation, I am an Administrative Assistant since 2019, with skills in: ✔ Rapid and precise data entry ✔ Internet research & lead qualification ✔ English/French transcription ✔ Administrative assistance (organization, filing, operational work)+ Extra Skills in Algorithmic Trading (since 2017): Development of Trading Bot (Expert Advisors - EAs) in MQL4/MQL5 (MetaTrader 4/5) NinjaTrader Bot Development in C# for futures, Forex, or stocks Multi-pair or single-pair Custom Indicator Design according to client requirements, Strategy Optimization & Backtesting for best performanceWhy Choose Me? ✓ Flexibility: Unique combination of administrative abilities and technical trading knowledge. ✓ Demonstrated Performance: Optimized bots for market reactivity and bespoke indicators. ✓ Versatility: Willingness to perform free tests to prove my ability. Ready to talk about your requirements (trading development or admin support). "I simplify your workload and provide high-impact deliverables." Get in touch with me today! Best regards, Elie

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗶𝗻𝗴𝗲𝘀𝘁 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮, 𝗺𝗮𝗸𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝟮𝟰/𝟳. I'm a former Robotics & AI Research Engineer who later built and scaled a six-figure localization business on Upwork. Whether it's an AI document workflow, a business automation, or a data pipeline between your systems, my focus is always the same: 𝗕𝘂𝗶𝗹𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗮𝗿𝗲 𝗳𝗮𝘀𝘁, 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. ━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ▸ 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • AI Agents • LLM Applications • Retrieval-Augmented Generation (RAG) • Lead Generation & AI Enrichment • AI Document Processing • Business Workflow Automation • Internal Knowledge Assistants • OpenClaw, OpenAI, Claude & Gemini Integrations ━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 Across robotics, AI automation and business operations, I've spent my career solving the same engineering problem: 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝘀𝘁𝗿𝗲𝗮𝗺𝘀 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. I've engineered: • AI-powered business systems automating lead generation, proposal generation, document processing and operational workflows. • Autonomous perception systems processing live camera and multi-sensor data. • Low-latency trading infrastructure consuming live market data and executing automated strategies. Different industries. Same engineering discipline. ━━━━━━━━━━━━━━━━━━━━━━ 𝗜 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗜'𝘃𝗲 𝗕𝘂𝗶𝗹𝘁 𝗢𝗻𝗲 Over last 9 years I iterated, refined, and built robust systems supporting: • A core operations team of 8 • A network of 500+ professional linguists • Delivery across 40+ languages • Clients across North America, Europe, Asia and the Middle East Running an operation at that scale required standardized workflows, QA, vendor management, delivery pipelines, automation, and reporting. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝗳𝗶𝘁 𝘁𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝗻𝗼𝘁 𝗳𝗼𝗿𝗰𝗲 𝘁𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘁𝗼 𝗮𝗱𝗮𝗽𝘁 𝘁𝗼 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆. ━━━━━━━━━━━━━━━━━━━━━━ 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 ▸ 𝗔𝗜 𝗟𝗲𝗮𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Built an AI-powered B2B lead generation and enrichment platform using OpenAI APIs and custom workflows to discover companies, enrich contact data, identify decision-makers and generate personalized outreach. ▸ 𝗔𝗜 𝗣𝗿𝗼𝗽𝗼𝘀𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 Built a multi-model LLM workflow that drafts, critiques and refines proposals through iterative AI review before human approval. ▸ 𝗔𝗜 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 Built AI-assisted proofreading and quality-control workflows that combine automated validation with human review to improve consistency and accuracy. ▸ 𝗟𝗼𝘄-𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Built production trading infrastructure in Rust and Python for processing streaming market data, generating signals, managing execution and running automated trading strategies. ━━━━━━━━━━━━━━━━━━━━━━ 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 Python • Rust • C++ • Node.js • PineScript 𝗔𝗜 OpenClaw • OpenAI • Claude • Gemini • LLM • RAG • NLP • PyTorch • TensorFlow • scikit-learn 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 FastAPI • Docker • Redis • RabbitMQ • PostgreSQL • MongoDB • Kafka • AWS ━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✓ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 ✓ 𝗠𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 $𝟯𝟬𝟬𝗞 𝗲𝗮𝗿𝗻𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ✓ 500+ 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 ✓ 𝗙𝗼𝗿𝗺𝗲𝗿 𝗧𝗶𝗲𝗿 𝗜𝗩 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 ✓ 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝘄𝗵𝗼 𝗯𝘂𝗶𝗹𝘁 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲𝗱 𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 I start with your workflow, your data and your business objective, then design the simplest system that solves the problem reliably. Whether it's integrating LLMs, connecting broker APIs, processing streaming market data or automating internal workflows. If you're building something ambitious, I'd love to hear about it. -------------------------------------------------------------------------------------------------------------------- 𝗤𝘂𝗶𝗰𝗸 𝗻𝗼𝘁𝗲: My Upwork history mainly reflects the localization business I built and ran. Before that, I spent four years as an AI Research Engineer. My recent AI automation, LLM and workflow engineering projects are showcased in my portfolio. --------------------------------------------------------------------------------------------------------------------

I am a professional Algorithmic Trading Systems Developer specializing in designing, engineering, and implementing fully automated trading strategies across multiple platforms. My core expertise lies in transforming a client’s trading vision whether it is price action, Smart Money Concepts (SMC), DCA, martingale variants, breakout systems, scalping models, prop-firm survival engines, or custom execution logic into a robust, rule-based, mechanically executable trading system. Although my profile on this platform may appear newer, I am an established freelancer on other major freelance marketplaces with a strong portfolio and verified client reviews. You can review my portfolio to see my previous work history, complexity of projects handled, and authentic feedback from long-term clients. I do not sell strategies. I engineer them. My responsibility is to: • Accurately convert strategy logic into clean, optimized, non-repainting code • Ensure precise execution handling (spread, slippage, broker fills, liquidity realities) • Implement structured risk management (fixed risk %, equity protection, daily DD locks, basket control, etc.) • Design multi-position management systems (DCA, hedging, basket trailing, layered entries) • Build prop-firm compliant EAs with strict survival governance • Convert TradingView (Pine Script) strategies into native MT5 EAs • Integrate Telegram, webhooks, bridges, and cross-platform execution systems • Engineer anti-overfitting safeguards and realistic backtesting structures • Develop custom dashboards, panels, trade managers, and performance tracking systems I work extensively with: MT4 / MT5 (MQL4/MQL5) TradingView (Pine Script) cTrader (cAlgo) NinjaTrader Quantower SierraChart ATAS MultiCharts Thinkorswim AmiBroker Custom Python / Java automation systems for proprietary trading firms My development philosophy is strict: Execution precision > marketing performance Risk control > aggressive returns Mechanical rules > discretionary assumptions Robustness > curve-fitted backtests I clearly separate: Strategy logic responsibility (client-defined) Engineering responsibility (my scope) I guarantee correct implementation of rules. I do not guarantee profit metrics unless explicitly contracted for strategy research and optimization. I have delivered 1000+ automated systems including: • Price action EAs • EMA pullback engines • Donchian breakout systems • ATR-based scalpers • DCA / Martingale basket managers • Telegram signal copiers • Trade managers with equity control • Prop-firm survival EAs with daily/total DD enforcement • Multi-account anti-correlation execution engines What defines my role most clearly: I take complex trading ideas including multi-layer position logic, hedging mechanics, dynamic ATR systems, risk governance, session filters, execution protection, and broker-specific nuances and convert them into stable, testable, production-grade automated systems. I focus heavily on: • No duplicate orders -No repainting logic Real tick backtesting compatibility Accurate SL/TP placement after broker fill Spread and slippage awareness Clean modular architecture I build systems meant to run in real market conditions not just produce pretty backtests. And most importantly: I provide continued support after delivery. Bug fixes, refinements, clarification — I don’t disappear after handover.

I'm a Top Rated quantitative developer on Upwork, currently completing my MS in Data Science at Harvard, with production experience building and shipping algorithmic trading systems across futures, options, and equities. My work spans the full pipeline: from signal research and rigorous backtesting through execution architecture and live broker deployment. Over the years I've collaborated with professional traders, systematic fund managers, and independent CTAs on strategy research, execution system builds, and quantitative infrastructure — working with live accounts and real capital, not toy portfolios. - Research Philosophy Most algorithmic trading research fails before it reaches live markets. The reasons are almost always the same: data snooping bias, fragile parameterization, fill simulation that doesn't reflect actual execution, and strategy logic never stress-tested against regime change. My research process is designed to make it hard to fool yourself. That means strict chronological train/test splits with no parameter bleedthrough, walk-forward optimization over anchored and rolling windows, block bootstrap for inference on autocorrelated returns, and parameter sweep frameworks built to expose fragility rather than maximize backtest metrics. A strategy that only works on one parameterization isn't a strategy, it's a coincidence. I care about robustness across parameter space, regime stability, and understanding exactly why a signal works before scaling it. I work extensively in QuantConnect's LEAN engine for research-grade backtesting and live account deployment, though deployment targets vary by strategy and client stack. IB TWS via ibapi, Tradovate, and NinjaTrader are all in regular rotation depending on execution requirements. I build custom analytics layers on top of backtest output: Sharpe decomposition, drawdown attribution, execution cost modeling, and signal decay analysis, because standard tearsheet metrics rarely tell the full story. - Strategy Coverage My research spans futures (NQ, ES), SPX and index options, ETFs, and crypto. Strategy types I've built and validated in production include intraday momentum and trend-following systems, mean reversion and stat-arb frameworks, breakout and scalp architectures with dynamic sizing tiers, options strategies including iron condors, defined-risk vertical spreads, 45-DTE and 0DTE SPX structures with delta-based hedge logic, and GEX (gamma exposure) driven directional frameworks using open-interest-weighted dealer positioning data. It's an area where the signal literature is still thin and where getting the methodology right matters more than most people acknowledge. - Execution Engineering The research-to-live gap is where most systems break. I build execution infrastructure that closes that gap: Interactive Brokers TWS via ibapi with state machine architectures, order ladder geometry, true breakeven calculations with commission and slippage factored in, and hedge math for multi-leg positions. On the NQ/ES side I've built and audited scalp bot execution logic on Tradovate, integrated Databento for professional tick data pipelines with proper validation against reference data, and developed Pine Script strategies and indicators on TradingView for signal prototyping before committing to full implementation. I'm also familiar with NinjaTrader's execution environment and ATM framework. Code I deliver is production-standard: structured logging, explicit edge-case handling, clean separation of signal and execution layers, and documented at a level where the system is maintainable after handoff. - What I Work On: - Strategy Research & Backtesting: QuantConnect/LEAN, Backtrader, Zipline, VectorBT, QuantLib, Python - Execution Systems: IB TWS/ibapi, Tradovate API, NinjaTrader, REST/WebSocket broker integrations, FIX Protocol - Retail Platform Development: MQL4/MQL5 (MetaTrader 4/5), Pine Script (TradingView), NinjaScript (NinjaTrader 8), EasyLanguage (TradeStation), ThinkScript (Thinkorswim), cAlgo/C# (cTrader), AFL (AmiBroker) - Broker APIs: Interactive Brokers, Alpaca, TD Ameritrade, Tradovate, Oanda, Databento - Crypto Platforms & APIs: Binance, Bybit, OKX, Kraken, Coinbase Advanced Trade, Bitfinex, Deribit (options/derivatives), KuCoin, Gate io, Freqtrade, Hummingbot, 3Commas, Pionex, Gunbot, ccxt (unified exchange library) - Statistical Testing: Walk-forward testing, parameter sweep analysis, Monte Carlo simulation, bootstrap inference - Full-Stack Delivery: Data ingestion → signal research → backtesting → live deployment