develop indicator for trading view (BBMA and fibo musang) with alert

@HarjitHundal91

Experienced full-stack developer skilled in scalable backend systems, modern frontend development, API integration, authentication, automation, and production-ready web application architecture.

@badarmadni927

Hi, Could you clarify what specific features you’re looking to prioritize in the application? Is there an emphasis on the speed of predictions or the variety of models to be integrated? I have extensive experience in developing AI-driven market analysis applications, particularly in financial domains. My expertise includes machine learning, deep learning, and working with real-time data processing. I can ensure that your application meets the outlined specifications for both training and prediction modes, along with an automatic retraining system. I’d love to discuss how we can bring your project to fruition efficiently. Let me know if we can connect to go over your requirements in detail! Best Regards, Badar

@corpmember29

Hello, I am an experienced developer specializing in Python, AI/ML, and Windows application development. I can build your FCPO market prediction app as a standalone Windows .EXE with dual training and prediction modes, Excel integration, automatic retraining, and an encrypted license system. The AI engine will combine machine learning, statistical models, and deep learning to provide accurate next-day and same-day BUY/SELL/NO TRADE predictions. I will ensure fast, low-latency performance, robust ensemble optimization, and a clean command-line interface. Deliverables will include the fully working application, source code, backtesting framework, automatic retraining workflow, and a user manual for seamless operation. I’m ready to develop a stable, high-accuracy system tailored to your specifications.

@Herculesz

Hi, this project involves building a sophisticated AI-driven trading prediction system with layered training and prediction modes, which aligns well with my experience in financial AI applications and robust system design. The real engineering risk lies in orchestrating reliable model retraining and maintaining prediction stability amid volatile market data. I usually structure such systems by separating data ingestion, model training, and prediction serving layers to ensure modularity and maintainability. I've built several production systems like this, including a NYSE Day Trading Bot that automated strategy execution and integrated real-time market data with machine learning. I also bring experience from Custom Feature Development & Integration projects where I enhanced legacy systems with clean, documented AI workflows and robust data handling. For this architecture, I recommend a clear separation between training and prediction pipelines with smart error handling and confidence calibration to maintain stable signals under varying market conditions. Systems I design include fallback mechanisms and evaluation logic to ensure long-term production reliability. I can start by outlining the data ingestion and retraining pipeline and mapping the prediction flow to ensure smooth integration with Excel data and the Windows deployment environment. Thanks, Hercules

@mdabdullahallm5

Your specification is very well structured and already aligns closely with enterprise-grade quantitative AI system architecture. I can help develop the full offline Windows-based FCPO prediction platform using Python with modular AI pipelines, dual-layer Training/Prediction architecture, ensemble optimization, volatility modeling, automated retraining, and encrypted license authentication. The system can be packaged as a lightweight standalone .EXE with optimized CPU/RAM usage, Excel-driven workflows, confidence-based BUY/SELL/NO TRADE outputs, and integrated historical backtesting/validation designed for long-term operational stability and scalable future model expansion.

@swadhinr

I will architect and develop your fully offline, high-performance FCPO AI system with a clear separation between Training Mode and Prediction Mode, ensuring scalability and maintainability. The solution will integrate advanced ML, statistical, and deep learning models into a robust ensemble with automated retraining, strict validation, and optimized performance. I’ll deliver a secure, licensed Windows .EXE with clean modular code, fast execution, and consistent, reliable prediction outputs aligned with your specifications.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Algokage

Hello, I can efficiently develop the TradingView indicator with BBMA and Fibo Musang strategies, including alerts, based on your detailed specifications. I’ll implement a dual-layer architecture with Training and Prediction Modes, ensuring scalability and enterprise-level design. My approach will focus on integrating machine learning, statistical modeling, and deep learning for accurate market predictions, while optimizing CPU and RAM usage for high-speed processing. I’ll also include encrypted license authentication and Excel integration for seamless data handling. With 5+ years of experience in AI and trading systems, I’ll ensure the application meets your requirements for both next-day and same-day predictions. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@prashanpatel557

Hello, I can develop both parts of your project: 1. A custom TradingView indicator implementing BBMA + Fibo Musang with alerts. 2. A standalone Windows AI application (.EXE) for FCPO market prediction using machine learning and ensemble models. I have extensive experience in Pine Script, Python AI development, trading system architecture, and Windows executable packaging. TradingView Indicator • BBMA and Fibo Musang logic implementation • BUY/SELL and setup alerts • Clean, fully commented Pine Script • Configurable parameters and notifications FCPO AI Application • Excel-based OHLC data ingestion • Training Mode and Prediction Mode • Next-day and same-day BUY/SELL/NO TRADE predictions • Ensemble ML models (XGBoost, LightGBM, CatBoost, LSTM, HMM, etc.) • Automatic retraining when new data is added • Offline Windows .exe with encrypted license-key system • Detailed logs and user manual Deliverables • Pine Script source code • Complete Python source code • Standalone Windows executable • Documentation and handover support Timeline: 6–10 weeks Budget: $500 – $750 for the indicator and initial AI platform (the full enterprise AI system may require phased milestones beyond this range). Please share whether you want to begin with the TradingView indicator first or the FCPO AI application as Phase 1.

@forexcoder1

Dear Project Owner, I can develop your TradingView BBMA + Fibo Musang indicator with advanced alert functionality and scalable AI integration support. I have experience in: * Pine Script development * Forex & FCPO trading systems * AI-based market prediction tools * Python automation and backtesting * Non-repainting indicator logic The indicator can include: * BBMA setup detection * Fibo Musang confirmation logic * BUY / SELL / NO TRADE signals * Multi-timeframe filtering * Smart alerts and notifications * Entry, TP, and SL visualization * Dashboard and signal panel * Optimized non-repainting structure I can also assist with the larger AI application architecture you described, including: * Python AI engine * Excel OHLC integration * Auto retraining workflow * Ensemble ML models * Offline Windows EXE deployment * License key authentication Your Training Mode + Prediction Mode structure is well designed for long-term scalability and performance optimization. I focus on clean coding, fast execution, and reliable signal generation suitable for continuous FCPO analysis. Ready to start immediately and discuss the detailed BBMA + Fibo Musang rules. Regards, FX Coders

@SmartCodeDev

Hello, I can develop your FCPO AI prediction system as a fully offline Windows executable with a modular architecture separating Training Mode and Prediction Mode exactly as specified. My approach would structure the platform into independent AI engines for machine learning, volatility modeling, deep learning, and ensemble optimization while keeping the workflow lightweight and stable for continuous daily analysis. I can implement automated retraining pipelines, Excel based OHLC ingestion, prediction logging, license key protection, and adaptive ensemble weighting with optimized CPU and RAM usage for fast execution on Windows environments. The system will support both incremental learning from saved model states and complete historical retraining with walk forward validation and backtesting logic for long term model stability. I also have experience packaging Python based AI systems into standalone EXE applications with secure licensing, structured model management, and maintainable modular codebases suitable for future expansion.

@loxtic

Hi, how are you doing? I have solid hands-on work with ML/AI for financial data, including batch and live analysis, model retraining workflows, and Excel data integration, plus a track record with trading platforms and risk-aware signaling. I’ve deployed standalone Windows tools for data-driven prediction and can demo previous similar projects if needed. Let me know further if interested

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- To develop a TradingView indicator using BBMA and Fibo Musang with alerts along with a complete AI-based FCPO prediction system in a Windows executable. I carefully read your full detailed specification including dual training and prediction modes, AI ensemble models, Excel integration, and offline EXE deployment, and I clearly understand the need for a high speed, stable and intelligent prediction system with indicator alerts. I am a strong fit because I bring 9+ years experience in full stack development, trading systems, and AI based analytics. • Pine Script indicator with BBMA Fibo Musang logic and alert system • Python AI engine with Excel integration, retraining, and prediction workflow • Testing, optimization, UI handling, and full source code delivery I have already built similar trading indicators and AI based market prediction tools with strong performance and stability. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@rakhshanz3

With my extensive experience in AI development, particularly in the finance sector, I am confident in providing the efficient and high performing system that you require for your FCPO Shariah Compliant Trading project. My proven skills in machine learning, statistical modeling, deep learning and more align perfectly with your system's objective of integrating these approaches to achieve accurate market predictions. Additionally, as a bonus, being a 'rakhshan' based in Malaysia guarantees my familiarity with the FCPO market's intricacies and its local regulatory practices which is vital ensuring our work will be Shariah compliant. This knowledge is invaluable as it allows me to not only provide technical expertise but also understand the cultural nuances that may influence our project. With my comprehensive understanding of AI, skilled mastery over data processing and strong grasp of local market dynamics, I am the ideal choice to develop this comprehensive indicator for effective trading using BBMA & Fibo Musang.

@Manmathl17

As an experienced and multidisciplinary professional, focused on delivering real digital results, I’ve developed a unique set of skills that I believe aligns perfectly with your project's needs. In terms of trading proficiency, I practiced the art and science of trading deeply for years. Having traded in markets similar to FCPO Compliant Market, my knowledge spans far beyond just routine chart analysis. The comprehensive nature of your project excites me because it offers the opportunity to showcase my deep understanding and application of AI and statistical modeling methodologies which your project involves. In addition to trading expertise, I bring advanced technical abilities that are critical for developing your application. Proficiencies in programming languages like Python, Java and API handling are essential for handling large datasets and building robust interfaces for your system. Moreover, my experience in full-stack development, cloud computing (including AWS deployment) and Software Achitecture ensures the development of an efficient, reliable, stable application. .

@jagratip3

Dear Hiring Manager, We are seeking a developer to build “Amir B – FCPO Shariah Compliant Market”, a standalone Windows .EXE application with a CMD interface for fully offline FCPO market analysis. The system will analyze historical OHLC Excel datasets to generate next-day and same-day BUY/SELL/NO TRADE predictions using a hybrid AI framework combining machine learning, deep learning (LSTM/GRU), statistical models (GARCH, VAR, HMM), trend filters, and ensemble optimization. Key features: Dual-layer architecture: Training Mode (incremental or full retraining) and Prediction Mode (next-day & same-day) Smart auto-retraining triggered by new Excel data Historical backtesting and model optimization before ensemble weighting Volatility, momentum, and market structure analysis Encrypted license key system (lifetime or 3-year) Full Excel integration, prediction logging, and high-speed, low-latency processing CMD interface, lightweight, optimized CPU/RAM, responsive for continuous daily operation Deployment: standalone EXE with full user manual and workflow Deliverables: AI engine, retraining system, prediction engine, backtesting, optimization workflow, EXE packaging, license system, and documentation. Thanks!

@NEHABHAT92

As a journeyman web and mobile app developer with a passion for AI, I believe that my 9+ years' hands-on experience grants me the unique expertise to complete this project proficiently and professionally. I have not only worked extensively with popular platforms like Android, iOS, Java, PHP, and .NET, but also employed statistical modelling and deep learning techniques similar to those required in your project. This includes robust market structure analysis, ensemble optimization, and adaptive market learning to provide accurate predictions tailored to specific scenarios. Moreover, our company offers a dual-layer system architecture - one for training mode and the other for prediction mode - which aligns closely with the refined structure you've laid out. This architecture facilitates flexible combinations between full retraining and saved model execution alongside next-day prediction analyses as well as same-day prediction using today's Open price before market close easily adding more versatility and efficiency to the application. Lastly, my team and I fully understand the criticality of your data sources and Excel integration requirements. We will ensure that the application supports manual Excel integration in all necessary columns like Open, High, Low, Close. Our past projects have effectively use

@mmeeranpathan

I can build your FCPO AI Prediction System as a fully offline Windows EXE with Excel integration, smart retraining, and dual training/prediction modes as specified. The system will use advanced ML models (XGBoost, LightGBM, ensemble learning) with confidence-based BUY/SELL/NO TRADE signals and automatic model optimization. It will support both next-day and same-day market prediction with structured backtesting for performance validation. A secure licensing system and user-friendly CMD interface will be included for controlled access. The architecture will be scalable, allowing future expansion into deep learning and advanced quantitative models. Delivery will be done in milestone-based phases to ensure quality, stability, and continuous progress.

@lakshithap1

As an adaptable, detail-oriented software engineer, my AI development skills perfectly align with your project's needs. From analyzing historical OHLC datasets to training AI models and implementing market prediction algorithms, I have hands-on experience in building sophisticated, efficient, and fast systems, which is crucial for your fully offline trading application. In addition to my broad portfolio of web and mobile applications using cutting-edge technologies such as React Native and Flutter, I've also developed desktop applications proficiently. My expertise in Java (AWT/Swing) and other vital programming languages like PHP, JavaScript (including Vue.js and node.js), HTML, CSS makes me ideally equipped for executing the complex dual-layer system architecture you've outlined. My determination to deliver high-quality work allies perfectly with your unforgiving demands for optimized CPU & RAM utilization and lightweight system architecture. Beyond just technical expertise, I bring a true passion for problem-solving to the table. I look forward to contributing my skills to create an AI-driven system that will empower informed decision-making on FCPO shariah-compliant trade in Malaysia.