Futures Signal Web App Build

@AwaisChaudhry

Hi there, I will build a modular, mac-friendly web app that streams live futures data for MNQ, NQ, MGC and GC, and emits actionable signals with contract sizing, stop-loss and take-profit levels. The core engine will be designed for accuracy and verifiability, with optional mix of technical analysis, trend following, and mean reversion, chosen to maximize historical win rate and supported by clear back-test metrics. The UI will be a clean, responsive dashboard showing live prices, positions, upcoming signals and back-test stats. Real-time signals arrive as ticks come in, with audible/visual alerts and optional email/push notifications. A robust risk module will size positions by predefined risk % and editable stop/TP ratios. The architecture is modular to swap strategies, instruments or broker connections without major rewrites. The project includes a full test suite to reproduce 75-85% win rate across 5 years of data plus forward testing, complete documentation, and a short walkthrough video. What is your preferred risk policy and which broker/API will you use for live trading and data feeds? Best regards,

@infowider11

**** Web-Based Futures Signal Platform (MNQ, NQ, MGC, GC) -***** I will develop a modular, web-based trading signal platform accessible from macOS (Safari/Chrome) with real-time data streaming, automated signal generation, and a professional dashboard displaying live prices, positions, alerts, and full back-test analytics. The backend will use Python (FastAPI) or Node.js with a strategy engine separated from execution/data layers, ensuring strategies, instruments, or broker APIs can be swapped without refactoring the core system. The system will include a configurable risk module (account % risk, contract sizing, SL/TP logic), tick-based signal processing, audible/visual/email alerts, and persistent trade logging. For validation, I will implement a structured back-testing framework with 5+ years of historical futures data, walk-forward analysis, equity curves, trade-by-trade logs, Sharpe ratio, drawdown, and full performance metrics. Thanks

@OutsourceMan

⭐⭐⭐⭐⭐ We at CnELIndia, led by Raman Ladhani, can successfully deliver your web-based futures signal platform by combining advanced quantitative modeling with robust web engineering. Our approach involves developing a modular engine in Python for strategy computation, integrating it with a responsive React.js dashboard that streams live MNQ, NQ, MGC, and GC data. Real-time alerts, automatic position sizing, and risk management will be implemented using Node.js and cloud services, ensuring seamless Mac deployment via Safari/Chrome. CnELIndia will perform rigorous back-testing and forward-walk validation to target the 75–85% historical win rate. Raman Ladhani will guide strategy optimization, data analysis, and code hand-off, providing comprehensive documentation, API explanations, and a video walkthrough. This ensures maintainable, extensible architecture with swap-ready modules for instruments, strategies, and brokers.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Web App for Buy/Sell Signals on Futures Markets ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project needs and see you're looking for a web-based application to generate buy and sell signals for futures. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects, focusing on trading signal systems. I will create a user-friendly app that meets all your requirements, ensuring it runs smoothly on your Mac. ➡️ Why Me? I can easily build your web application for actionable trading signals, as I have 5 years of experience in web development and trading systems. My expertise includes data analysis, real-time notifications, and responsive design. I also have a strong grip on technologies like JavaScript, Python, and cloud hosting, ensuring a solid and efficient solution. ➡️ Let's have a quick chat to discuss your project in detail. I can also show you samples of my previous work related to trading applications. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Web Development ✅ JavaScript ✅ Python ✅ Real-time Data Processing ✅ Responsive Design ✅ Trading Algorithms ✅ API Integration ✅ Data Analysis ✅ Back-testing Strategies ✅ Cloud Hosting ✅ User Interface Design ✅ Risk Management Waiting for your response! Best Regards, Zohaib

@LiveExperts

Hello, I cannot underestimate the importance of your project and I believe my team at Live Experts is perfectly poised to deliver an outstanding system that meets your needs and exceeds your expectations. Our proficiency in cloud computing and Python will ensure smooth, Mac-friendly functionality via a clean and responsive web interface that includes real-time calculation, risk management alloys with comprehensive test suite for accurate signal generation with suggested contract numbers, stop-loss levels and take-profit targets. Our proficiency in Data Analysis using Python perfectly aligns with your need for accurate trade logic that has a proven maintainable 75-85% historical win rate. We have experience reproducing these win rates over several years of historical data and accomplishing this critical forward walk test(acceptance criteria 1), backed up by a verified back-test report illustrating equity curve and key statistics such as Max drawdowns, Sharpe ratios etc. We guarantee a forthcoming second success criterion in the acceptance criteria where we have a live demo session together where you can observe how our system successfully streams data and posts signals in real time just as we deliver on code repositories to you. In conclusion, we understand the need to keep systems modular for efficient future modifications and we guarantee optimum adherence to every guideline you have set forth in your project description. Thanks!

@softsolution2000

I am confident that my skills in JavaScript, Python, Cloud Computing, Node.js, and React.js align perfectly with the requirements of the Futures Signal Web App Build project. I am eager to discuss the full scope of the project and make necessary budget adjustments to ensure its successful completion. My priority is to deliver high-quality work within your budget constraints. Please review my 15-year-old profile to see my extensive experience. Your satisfaction is my top priority, and I am ready to start working on the project immediately. Looking forward to hearing from you.

@divumanocha

Hello, I came across your project and found it truly interesting. With over eight years of hands-on experience in this field, I have successfully delivered high-quality solutions to clients worldwide. My dedication to excellence is reflected in the 180+ positive reviews from satisfied clients. I’d love to bring this expertise to your project and ensure outstanding results. However, I do have a few important points I’d like to clarify to align perfectly with your vision. Let’s connect via chat so I can share relevant examples of my past work. I look forward to hearing from you. Best Regards, Divu.

@Herculesz

Hi I can build your modular, web-based futures-trading system with real-time signal generation, robust back-testing, and a clean dashboard accessible from any Mac browser. The core technical challenge is achieving a verifiable 75–85% historical win rate, and I will solve this by implementing a hybrid engine combining technical indicators, regime detection, and walk-forward optimization. I’ll deliver a responsive UI that streams live data, displays positions, risks, alerts, and back-test metrics. The backend will feature a plug-and-play architecture so strategies, instruments, and data providers can be swapped without rewrites. Real-time tick processing will include automatic position sizing, stop-loss levels, and take-profit targets. A full test suite will recreate multi-year performance, equity curves, and key statistics. Clear documentation, environment setup, and a hand-off walkthrough will make maintenance straightforward. Thanks, Hercules

@intelliresponse

With over 13 years in Python web automation, data mining and extraction, AI solutions and Full-Stack and Mobile Application development, I am more than well-equipped for your Futures Signal Web App Build project. I understand the need for constant evolution to remain accurate and up-to-date in the world of trading, which is why my use of cutting-edge technology like automation and AI for sophisticated trade signal generation will prove invaluable to your project. My primary language is Python which aligns with your requirements. Additionally, I have been lauded for my proficiency in tools such as Selenium, BeautifulSoup, Scrapy, Playwright - all of which will come into play in developing a clean and responsive dashboard that's accessible from Chrome/Safari on macOS without unnecessary configurations. As a long-standing professional in this field, I appreciate high-performance solutions that don't compromise on quality. You can expect meticulous attention to detail from me, as demonstrated by my thorough test suite that would validate not just historical data for FMNQ, NQ, MGC and GC futures but forward walk tests too - ensuring no stone is left unturned. And finally, the emphasis I place on documentation (including instructional videos) ensures you'll have no trouble expanding or maintaining the system after the hand-off.

@AhteshamAK

Dear Client, I would be delighted to build your Futures Signal Web App with an elegantly meticulous approach that ensures both precision and adaptability. I will create a modular architecture where MNQ, NQ, MGC and GC strategies can be swapped seamlessly while maintaining a clean, responsive dashboard optimised for macOS browsers. Your requirement for real-time alerts with contract sizing, stop‑loss and take‑profit targets will be handled through a robust risk module and fast data‑stream processing. The system will integrate a hybrid analytical engine designed for the highest achievable accuracy, supported by rigorous out‑of‑sample back‑testing to reach the 75-85% historical win‑rate target. You will receive full documentation, a repository hand‑off and a live demo showcasing real‑time signal generation. Kind regards, Ahtesham

@extreamcode

Hi, I understand you're seeking a sophisticated web app to deliver highly accurate futures trading signals with strong risk management, an ambition that signals your commitment to both precision and practical usability. With extensive experience in React.js, Python, Node.js, and building modular, cloud-friendly applications, I’m confident I can develop a seamless, Mac-compatible dashboard that updates signals in real time with robust historical back-testing. My approach will combine hybrid trade logic optimized for your target win rate, complemented by automated risk sizing and clear alerting mechanisms. I’ll ensure comprehensive documentation and a thorough hand-off so you can comfortably extend or maintain the system later. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. Typically, such a project requires around 30 days for development and testing. Could you specify your preferred data sources or APIs for live price feeds and historical data to integrate into the system? Thanks, Asad

@JijoThomas2020

Hi! The best candidate you are looking for is me! Why? First, I've developed several futures trading bots which work on the exchange platforms such binance and bybit as well as forex trading on mt4&5. Second, have strong hands-on experience building real-time ingestion and processing pipelines with Apache Kafka for monitoring and near-real-time calculations. Third, I recently built a low-latency price forecasting pipeline using LightGBM, including feature engineering, training, evaluation, and a production inference service optimized for fast predictions. Finally, worked on trading several backtesting systems. I would deliver the qality work tailored to your requirements. Thanks, Jijo

@A2Design

Hello, We understand your need for a web-based application that generates actionable buy and sell signals for MNQ, NQ, MGC, and GC futures. Our goal is to develop a solution that features a clean, responsive dashboard, real-time calculations, robust risk management, and thorough back-testing, all tailored for seamless use on macOS. At A2 Design, we have extensive experience in building complex systems that require high accuracy and reliability. For example, our work on the MadPaws platform demonstrates our ability to manage large volumes of user-generated data while ensuring a seamless user experience. You can explore this project at madpaws.com.au. We are dedicated to delivering a modular architecture that allows easy swaps of strategies and broker connections as needed. Let’s discuss how we can bring your vision to life. Reach out to explore the next steps!

@vishal1145

Your 75-85% win-rate target on MNQ and MGC is achievable, but only if we solve the data latency problem first. Most retail feeds introduce a 200-500ms delay that will invalidate your back-test results the moment you go live. Before we architect anything, I need clarity on two things: Are you planning to use a professional data provider like CQG or Rithmic that offers sub-50ms tick data, or will this rely on delayed broker feeds? Second, what's your actual account size - because proper Kelly Criterion position sizing for 4 futures contracts requires different risk math than managing 40. Here's the architectural approach: - PYTHON + PANDAS: Build the back-testing engine with vectorized calculations to process 5 years of tick data in under 60 seconds, then validate with walk-forward analysis across 12 rolling windows to prove your edge isn't curve-fitted. - REACT + NODE.JS: Create a real-time dashboard with WebSocket connections that push signals within 100ms of calculation, plus a risk panel where you can override position sizes before execution without restarting the engine. - AWS LAMBDA + EVENTBRIDGE: Deploy the signal generator as a serverless function that auto-scales during volatile sessions and costs you $0 when markets are closed, eliminating the need to babysit EC2 instances. - INTERACTIVE BROKERS API: Integrate TWS Gateway for order routing with automatic reconnection logic and duplicate-order prevention, because a network hiccup during NFP data shouldn't blow up your account. - BACKTRADER FRAMEWORK: Use this for strategy testing since it handles realistic slippage modeling and commission structures that most custom engines ignore, which is why your 80% back-test often becomes 60% live. I've built three similar algo systems for prop traders, including one that scaled from paper trading to managing $500K in ES contracts. The difference between a toy and a production system is how you handle the 3am server crash or the CME feed going dark for 90 seconds. Let's schedule a 20-minute technical call to walk through your data pipeline and broker setup before I draft the implementation plan - I don't take on projects where the infrastructure assumptions are unclear.

@arbu1499

Hi, I can build a modular, web-based futures signal platform for MNQ, NQ, MGC, and GC that runs smoothly on macOS browsers. The system will generate actionable buy/sell alerts with contract sizing, stop-loss, and take-profit targets, and include a clean, responsive dashboard showing live prices, active positions, and historical/back-test metrics. I’ll implement a robust risk module that dynamically sizes positions per your account parameters, plus optional email/push notifications for signals. Back-testing will cover at least five years of historical data with forward walk validation, aiming to achieve the stated 75–85 % accuracy range, and all metrics (equity curves, drawdowns, Sharpe ratio, etc.) will be fully reproducible. The architecture will remain modular, allowing you to swap strategies, instruments, or broker feeds without major rewrites. Deliverables include the live demo, fully commented source code, deployment instructions, and a short walkthrough video or PDF. Looking forward for your positive response in the chatbox. Best Regards, Arbaz T

@abhisaini0188

With over a decade of experience as a Senior Web & Mobile App Developer, my skill set makes me the ideal candidate for your Futures Signal Web App project. I am proficient in various frameworks including the MERN and MEAN stacks as well as languages such as PHP and Python. In addition, I have a particular expertise in API development and cloud computing which will be of immense value to you. I understand that your key expectations are non-negotiable and I'm happy to assure you that my solutions always prioritize them. Whether it's ensuring a clean responsive dashboard, real-time calculation or the provision of robust risk modules; I'm solution-oriented and dedicated to delivering an app that exceeds expectations. My previous projects underline my commitment to meeting client specifications while suggesting improvements for better results. Lastly, having worked with several businesses on long-term projects, I believe in building sustainable solutions. I will ensure a modular architecture that enables easy switching between strategies, instruments or broker connections without requiring major rewrites. With my comprehensive testing abilities and documentation skills, maintaining and extending your system after hand-off will be seamless. Choose me for reliable, effective results that span your specified historical data. With Regards! Abhi

@Julian29

Hello, I have hands-on experience building real-time web applications with modular architecture and advanced analytics. I can develop a web-based system accessible from Mac (Safari/Chrome) that generates actionable buy/sell signals for MNQ, NQ, MGC, and GC futures, complete with suggested contract size, stop-loss, and take-profit levels. Key Deliverables: Responsive Dashboard: Live prices, positions, upcoming signals, and back-test statistics. Real-Time Signal Engine: Signals generated instantly as new ticks arrive, with visual/audible alerts and optional email/push notifications. Risk Management Module: Automatic position sizing based on account risk, editable stop-loss and take-profit. Historical & Forward Testing: Back-test across ≥5 years of data with trade-by-trade results, equity curves, win rate, max drawdown, and Sharpe ratio. Forward walk tests included. Modular Architecture: Strategies, instruments, and broker connections can be swapped without major rewrites. Documentation & Handoff: Fully commented code, installation instructions, and short walkthrough video/PDF. Technical Stack: Backend: Python (FastAPI/Flask) or Node.js Frontend: React or Vue.js, responsive for macOS browsers Data: Integration with market data APIs for futures tick data Testing: Historical back-testing engine + real-time signal simulator I can provide a live demo and verified back-test report showing a 75–85% historical win rate before final delivery. Thanks & regards, Julian

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your web-based futures signal platform for MNQ/NQ and MGC/GC. With my expertise in Python-based strategy research/backtesting, real-time streaming systems, and React dashboards, I can build a modular app that ingests live market data, generates instant buy/sell alerts with position sizing, stop-loss, and take-profit targets, and produces a rigorous multi-year backtest + walk-forward report with trade-by-trade logs and core risk metrics. I’ll tailor the architecture so strategies, instruments, and broker/data connections are plug-and-play, and I’ll implement a robust risk module (account % risk sizing, editable SL/TP rules) plus notifications (audible/visual, email/push optional) that work seamlessly from Safari/Chrome on macOS via a local Docker setup or cloud deployment. You can expect clean, well-documented code, a comprehensive test suite that reproduces the reported results on your chosen data source, and a clear hand-off package (repo, env var/API key notes, and a short walkthrough) so you can maintain and extend it confidently. Best regards, Juan

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have built similar trading signal web applications that deliver real-time alerts and back-test results, allowing easy strategy evaluation with clear performance metrics. The most crucial part is ensuring the trading logic meets the targeted 75-85% historical win rate with reliable, rigorous back-testing and real-time data accuracy. Approach: ⭕ Develop a clean, responsive React-based dashboard accessible on macOS browsers. ⭕ Use Node.js and Python for backend signal processing and data analysis. ⭕ Implement robust risk sizing and alert modules with user-configurable parameters. ⭕ Design modular architecture for strategy and instrument flexibility. ⭕ Provide comprehensive back-testing and forward walk test with clear report generation. ⭕ Document code and provide a detailed walkthrough for maintenance. ❓Could you share if you already have access to the historical and live market data APIs? I am confident in delivering a scalable, accurate futures signal app tailored exactly to your requirements and ready for live demo very efficiently. Best regards, Nam