AI Predictive Analytics for Stock Trading

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@nrajuu07

I'm a data scientist with experience in financial markets and predictive modeling. I'll build an AI-driven trading system that ingests market profile and order flow data, engineers relevant features, and generates accurate price movement predictions — clean, well-documented, and built for real trading operations. Ready to discuss your specific markets and data sources immediately.

@mohanad255

What stands out is that you’re already using market profile and order flow — not just candles — which gives you a strong foundation for ML-driven predictive analytics. My background is in production ML systems, time-series forecasting, and predictive analytics. My partner also has senior experience deploying ML systems at scale. Our approach: • Turn order flow and market profile behavior into ML features. • Train and backtest predictive models on historical data. • Deliver actionable outputs like signals, confidence scores, or alerts. The goal is to systematize and scale your existing edge, not replace it. Which markets and timeframes are you focused on?

@pkundu25

I am an experienced Data Science practitioner/AI developer. Your job caught my eye and looks to be quite interesting to me as I did similar work in recent past. I have good hands-on experience in data analytics and visualizations using Python/Power BI, and have extensively used the tool to create multiple different reports and dashboards to fulfill need-specific business objectives in healthcare, finance and logistic industries. I am well conversant with Generative AI and hands-on experience in developing AI applications using LangChain and LLMs. I am aware of stock trading, market profile and order flow and I am confident that I will be able to help you by developing AI-powered Predictive Analytics model to be integrated to stock trading operations. Similar work done in the past: - Revenue leakage and reconciliation - Creation of Reports and dashboards - Unsupervised preventive maintenance model - AI Agent for Risk Mitigation - AI Powered Copilot for Text2SQL Query Relevant Skills: - Zoho Analytics tool - Python - Agentic AI - NLP - GPT4o/Gemini/Llama3.2/Mistral - Prompt Engineering - MySQL - TensorFlow - Google Colab - OpenCV Let's have a chat to understand the project objective and other relevant details. I assure you the best quality results and ensure the customer satisfaction. Looking forward to hearing from you soon. Thanks for the opportunity.

@devanshkhandekar

Hi,I am a seasoned Applied ML Engineer (6+ yoe) & I can help integrate AI-driven predictive analytics into your stock trading workflow using market profile & order-flow data as core inputs Proposed Approach: >>Discovery:Review trading setup, timeframes & target prediction tasks (volatility,direction,breakout,or trade scoring) >>Feature Engineering:Convert market profiles & order flows into structured features (POC,Value Area,delta,liquidity shifts & absorption) >>Modeling:Construct labeled historical datasets to train and compare XGBoost/LightGBM,Random Forests & LSTM/Transformer architectures >>Validation:Implement strict walk-forward backtesting to prevent data leakage & combat overfitting >>Deliverables:Package production-ready Python code & notebooks delivering calibrated probability scores,signals & SHAP-based feature importance Relevant Experience: >>Quantitative Modeling:Engineered financial time-series forecasting,feature engineering pipelines & anomaly detection workflows >>Strategy Evaluation:Built backtesting frameworks utilizing walk-forward validation,Sharpe ratio optimization & drawdown analytics >>Risk & Signals:Developed production ML pipelines for risk scoring,trade outcome prediction & signal generation Execution:Deploy a practical AI decision-support layer to maximize signal quality while maintaining strict risk controls & interpretability

@emanz03

Most AI trading projects become difficult not because of the ML itself, but because the data structure, execution assumptions, and prediction targets are not properly defined upfront. Market profile and order flow can produce useful signals, but the architecture depends heavily on how granular the data is and what exactly the model is expected to predict. I have worked on quantitative trading research involving market structure logic, regime analysis, execution modeling, backtesting systems, and ML-assisted trading workflows. Before estimating implementation properly, I would want to clarify a few important things first: • Which market are you targeting exactly (stocks, futures, crypto, forex)? • Which broker/data provider/API will supply the order flow and market profile data? • Are you working with Level 1 data, Level 2 DOM, footprint data, or full tick-by-tick order flow? • What is the actual prediction target next candle direction, liquidity sweep probability, volatility expansion, trade classification, etc.? • Do you already have historical datasets collected, or would the pipeline need to be built from scratch as well? • Is the goal research/backtesting first, or fully automated live execution later? Those decisions will affect the model design, infrastructure, and realistic project scope quite a bit.

@bhargavdave

Hello, I have 5+ years of experience in Machine Learning, predictive analytics, and AI model development, and I am currently pursuing a PhD in NLP and Information Retrieval. I can help build AI-based predictive models for stock trading using market profile data and order flow analysis. My experience includes data processing, predictive modeling, deep learning, and real-time analytics using Python and ML frameworks. I can assist with: - Market data analysis and feature engineering - Predictive model development - AI-driven trading analytics - Real-time signal generation and evaluation - Performance optimization and backtesting I would be happy to discuss your trading workflow, data sources, and prediction goals further. Best regards, Bhargav

@prashanpatel557

Hello, I can develop an AI-powered predictive analytics system for stock trading that uses market profile, order flow, and price-action data to generate probability-based trading insights. I have extensive experience in Python, machine learning, algorithmic trading, and financial data analysis. What I will build: • Data ingestion pipeline for market profile, order flow, and historical price data • Feature engineering (volume profile, imbalance, delta, VWAP, support/resistance) • Predictive models using XGBoost, LightGBM, and deep learning where appropriate • Backtesting and walk-forward validation • Real-time prediction engine with confidence scores • Dashboard and alerts for actionable signals Key Deliverables: • Complete Python source code • Model training and retraining scripts • Backtest reports and performance metrics • Real-time analytics dashboard • Deployment and setup documentation Important Note: No AI model can guarantee future market predictions, but I will build a statistically rigorous system with transparent validation and strong risk controls. Timeline: 3–6 weeks Budget: ₹60,000 – ₹90,000 Please share your preferred data source (e.g., broker API, or CSV exports) and whether you already have labeled outcomes for model training.

@sudhir0112

Hi! I'm Sudhir Jain — MIT graduate, Data Analyst & ML Engineer with extensive experience in predictive modeling and financial data analysis. I specialize in building ML models using Python (Pandas, Scikit-learn, TensorFlow) and have delivered end-to-end AI solutions for Fortune 500 clients. For this project, I'll build an AI predictive analytics system that ingests market profile and order flow chart data to generate accurate trading predictions. My approach: - Feature engineering from market profile data (value areas, POC, TPO profiles) - Order flow analysis (delta, imbalances, absorption patterns) - ML models: LSTM/Transformer for time-series + ensemble methods - Backtesting framework with risk-adjusted performance metrics With my background in statistical modeling, Python ML stack, and product thinking from Google PM experience, I deliver robust, production-ready solutions. 100% completion track record. Let's discuss your specific requirements!

@loxtic

Hi, how are you doing? I’ve built AI for market analytics using order flow and profile data to forecast moves, and I’ve worked with Kite, Zerodha, and other brokers to integrate live feeds and risk controls. Happy to share a quick demo and discuss data access, model scope, and deployment options. Let me know further if interested

@UzeeTech

Drawing upon my 7+ years of experience as a Full-Stack Developer, I offer your project a fusion of comprehensive technical expertise and a deep-rooted understanding of AI, particularly for financial markets like yours. My proficiency in building AI-powered systems capable of harnessing various forms of complex data—from market profiles to order flow—will certainly come into play for your stock trading setup. Additionally, my abilities extend beyond mere software development; I consistently provide valuable insights and assist clients in making tactically sound technical decisions that save time and money. As an investor, you understand the fundamental importance of accurate predictions in stock trading. Leveraging my proven skills in developing productive, robust backend architectures paired with user-centric UIs, I'll create an AI system capable of not just producing predictive analytics but doing so with unparalleled precision. My previous work further testifies to this capability as I've developed natural language processing engines, recommendation systems, and even intelligent automation applications using Python, TensorFlow, PyTorch, and OpenAI—all vital tools in designing effective predictive algorithms for stock market scenarios. Moreover, by engaging me as your collaborator, you bring on board someone committed to clear communication and efficient project completion—I deliver on or before deadlines over 98% of the time.

@sarimshoaib1425

Have developed a complete stock analysis n8n workflow and delivered to a client who wanted daily global stock analysis of tickers and update database with a daily analysis with GPT api. Project on profile. And I can 100% set this up for you. Lemme know your requirements in further detail and let’s discuss timeline and budget.

@AliiMohamed10

Market data alone rarely creates a profitable edge — the real challenge is turning order flow and market profile behavior into actionable predictions without generating noisy signals. I understand the goal is to build an AI-driven trading workflow that improves decision-making using real market structure data, and that is my focus. I can help design and integrate a predictive analytics pipeline that leverages market profile and order flow inputs to identify potential directional bias, liquidity zones, and high-probability setups. My approach would focus on clean data engineering, feature extraction from order flow behavior, and building interpretable predictive models that can be validated against historical performance instead of relying on black-box outputs. One important question before planning the architecture: what platform or data provider are you currently using for order flow and market profile data (Bookmap, Sierra Chart, TradingView, NinjaTrader, etc.)? This will heavily influence the integration and modeling workflow. If your goal is to build a practical AI-assisted trading system grounded in real market behavior, I’m ready to discuss the details and start immediately.

@byronw7

I’m based in South Africa and have experience working remotely with international clients, which has helped me develop excellent time management, adaptability, and clear communication. Your need for an AI integration focusing on predictive analytics using market profile and order flow charts aligns perfectly with my expertise. I understand the importance of creating user-friendly, automated, and professional systems that seamlessly integrate with stock trading operations. While I am new to freelancer, I have tons of experience and have done other projects off site involving AI development and financial market prediction models, demonstrating my hard-working and adaptable approach. I’m confident I can help you build a polished, high-converting system that supports your business goals. I’d love the opportunity to discuss your project further and see how I can contribute. Regards, Byron Walbrugh

@bishtchirag13

Subject: AI Pipeline for Order Flow & Market Profile Modeling Hi there, I specialize in Python backend architectures and complex predictive machine learning. Building AI for Market Profile and Order Flow requires moving beyond standard price-action; it demands high-frequency data processing to identify volume nodes, order imbalances, and liquidity zones. Because I have architected advanced sequence models—specifically building LSTM networks for complex orbital trajectory prediction—I understand how to handle massive, time-series data streams with strict mathematical precision. Here is my execution strategy for your trading operations: Phase 1: Raw Data Architecture: Instead of trying to parse visual "charts," I will build a robust Python data pipeline to ingest raw Level 2/Tick data from your broker. This allows us to programmatically calculate true Market Profile metrics (Point of Control, Value Area High/Low) and footprint imbalances. Phase 2: Predictive ML Modeling: I will engineer predictive features from this order flow data and train a deep learning model (like an LSTM or gradient-boosted tree) to predict intraday liquidity sweeps, volume shifts, and directional probabilities. Phase 3: Rigorous Backtesting: You will receive the AI model wrapped in a strict backtesting framework (using Pandas/NumPy) so we can objectively validate its predictive accuracy on historical data before risking any live capital. Best regards, Chirag Bisht

@snath88

Hi, Drop me a message — I'll share a quick prototype based on what I understood. If it matches your expectations, we can move forward. Thanks!

@achyutt1

Hi, I've built a stock prediction system in Python using Black-Scholes, Monte Carlo simulation, and options Greeks (via yfinance). I understand market data pipelines and can integrate predictive ML models into trading workflows. I can deliver clean, well-documented code. Happy to discuss your specific requirements.

@kingxanda

Hey, Thanks for your post. I'v read your description carefully. I have relevant experience I can help. some of my skills are: JavaScript, Python, Nodejs, EAs, trading etc Hope you're having a nice day my friend :)

@sarim121012

I am excited about the opportunity to integrate AI into your stock trading operations, with a strong focus on predictive analytics using market profile and order flow data. I have experience working with Machine Learning, Data Analytics, Predictive Modeling, and AI-driven decision systems, along with a strong understanding of financial market behavior and trading analytics. I understand the importance of building models that are not only technically accurate but also practical and reliable in live market environments. What I Can Deliver AI-Based Predictive Analytics System Develop AI/ML models for market trend prediction and trade signal generation. Use historical and real-time market data for intelligent forecasting. Build scalable pipelines for continuous learning and model improvement. Integration of Market Profile & Order Flow Data Analyze: Volume Profile Market Profile (TPO) Delta Analysis Bid/Ask Imbalance Footprint Charts Order Flow Patterns Convert trading behavior into structured datasets for AI training.