Stock Day-Trading AI Bot Development

@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

@ikhan9985

Hi there, My background is in computer vision and machine learning, I can built the stock day trading day with as many as reviews until you satisfied with the product. I want to deliever you the first version with in first day. Could we talk more about this task?

@Shrutibimpl

You want an automated Python day trading bot that ingests level one and level two market feeds, executes machine learning signals via a live brokerage API, and enforces strict risk parameters. This algorithmic trading solution removes emotional bias from your investing process, identifying and executing split second opportunities across listed equities while you focus on other work. By implementing strict risk checks like maximum daily loss ceilings and volatility pauses directly into the system core, your capital stays insulated from unexpected market swings. You get complete peace of mind with a fully documented system that runs on your local server, producing audit ready logs for every automated transaction. We will build this pipeline in Python using the Alpaca or Interactive Brokers API to ingest real time data streams via persistent WebSockets, processing inputs with pandas and numpy. The machine learning model will utilize scikit learn or TensorFlow for price prediction, passing entry signals to an execution engine that sequences bracket orders to protect your positions. The entire platform will deploy on your server inside a Docker container, with a lightweight CLI or web dashboard to let you modify safety parameters on the fly.

@prashanpatel557

Hello, I have experience building Python-based algorithmic trading systems, broker API integrations, backtesting engines, real-time scanners, and automated execution platforms for stocks, futures, and options. Your project requires a complete end-to-end trading system covering market data ingestion, AI-driven signal generation, risk management, backtesting, and live execution. What I can deliver: • Real-time Level-1/Level-2 market data processing • AI/ML signal engine using Python • Technical indicator and news-based analysis pipeline • Automated order execution via Interactive Brokers, Alpaca, or preferred broker • Dynamic position sizing, stop-loss, take-profit, and volatility controls • Daily loss limits and emergency kill-switch protection • Paper-trading and live-trading modes • Dashboard for positions, P&L, logs, and parameter management • Complete trade logging and performance analytics Tech Stack: Python, Pandas, NumPy, FastAPI, PostgreSQL, WebSockets, Scikit-Learn/TensorFlow, Docker. Deliverables: • Well-documented source code • Backtesting framework with performance reports • Broker integration and live execution module • Deployment and setup guide Timeline: MVP in 2–3 weeks, full production version in 4–6 weeks depending on AI complexity. Please share: • Preferred broker (IBKR, Alpaca, etc.) • US stocks only or additional markets • Whether you already have a strategy or need AI-driven signal generation from scratch.

@MqlcoderHub

Hi there, this is exactly the kind of real-time algorithmic trading system I’ve built before, including Python-based intraday bots with brokerage API integration, live market data streaming, and automated execution logic. I can develop a fully automated equities trading bot with real-time signal generation, level-1/level-2 data handling, risk controls, and backtested strategy validation, all running on your own server with clean logging and a simple CLI/dashboard interface.

@Jennycreation

With 15+ years in the industry, my expert team and I have developed a deep understanding of the requirement you've outlined for a Stock Day-Trading AI Bot that I know could be of huge value to your project. The focus on intraday opportunities in listed stocks only is well aligned with my expertise and I understand the criticality of real-time data analysis and order execution. In terms of practical experience, I've successfully built multiple trading bots that interact with live brokerage APIs and analyze real-time market data to execute smart buy-sell decisions. Furthermore, I have considerable exposure to building robust risk management controls which will ensure position sizes are capped, enforce max daily loss, set dynamic stop-loss and take-profit levels. You can rest easy knowing that I am fully proficient in Python, an ideal language for developing your bot, thanks to its extensive libraries like Pandas or TensorFlow which are tailor-made for financial modeling tasks. My solution will log every trade for future analysis and deliver clean, well-commented source code with installation instructions. To complete your project seamlessly, all you need to do is select me - the One-stop-solution for your Stock Day-Trading AI Bot Development project!

@loxtic

Hi, how are you doing? I have solid hands-on work building Python runs for live data, real-time decisioning and automated trading flows, including data ingestion, feature engineering, and risk checks, plus I’ve connected multiple bots to brokerage APIs for intraday trading with logging and dashboards. I can deliver clean, well-commented code, a back-test report with year-long minute data, a live trading module with a mainstream broker, and clear docs for model logic and risk parameters. I’ve done projects with Pandas, NumPy, scikit-learn and TensorFlow, focused on fast execution and robust risk controls. Let me know further if interested

@bizvivo

I have extensive experience building and deploying automated trading bots in Python, with multiple live integrations to brokerage APIs including Zerodha Kite Connect, Interactive Brokers, and Alpaca. My focus has been on intraday equity and options strategies, combining real‑time data ingestion, predictive modelling, and robust risk management. Examples of bots I’ve built: Intraday Equity Momentum Bot – streamed level‑1/2 quotes, executed rapid buy/sell signals, capped daily drawdowns. Options Basket Bot (Zerodha) – hedge‑first sequencing, margin‑efficient spreads, auto square‑off. Scalping Bot (IBKR) – ultra‑low latency execution, dynamic stop‑loss/take‑profit tied to ATR. Multi‑Instrument Scanner – parallel monitoring of 30+ symbols, async data pipelines, rule‑based entries/exits. Backtest Validator – one‑year minute‑level backtests, matched against client journals for compliance. Risk Controls: Position sizing rules, max daily loss caps, volatility circuit breakers, and dynamic stop‑loss/take‑profit ensure safe deployment. Tech Stack: Python (Pandas, NumPy, scikit‑learn, TensorFlow), async streaming, brokerage SDKs, Postgres logging, CLI/dashboard for parameter tuning. Estimate: 1 week. Cost: 50k-100k depending on refinements.

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@ziedb4

Hi there, ​Developing a high-frequency, intraday trading system for US equities requires an asynchronous pipeline capable of ingestion-to-execution speeds under sub-millisecond windows. As an algorithmic trading developer specializing in Python, I build secure automated trading scripts tailored for strict risk-managed market execution. ​How I will deliver your project constraints: ​Asynchronous Market Ingestion: Using asyncio and WebSockets to continuously stream Level-1 & Level-2 data feeds and technical indicators into a multi-threaded execution engine. ​Broker Integration: Seamlessly connecting via API to Alpaca or Interactive Brokers (IBKR) to handle instant, smart routing for Market, Limit, and Stop orders. ​Ironclad Risk Control: Enforcing deterministic position sizing, daily loss caps, dynamic trailing SL/TP brackets, and automated circuit breakers that pause trades if volatility spikes. ​Back-testing & CLI: Including a lightweight CLI dashboard for live parameter tuning, verifiable trade logs, and a comprehensive 1-year minute-level historical back-test report.

@manoval09

Hi, You need the bot to execute trades automatically without your input—equities moving through your account based on a live strategy. I've built trading systems that connect to broker APIs, backtest strategies, and deploy real-time decision logic. At this scope and budget, I'd recommend starting with a focused approach: pick one broker (Alpaca has the easiest API integration), use VectorBT or Backtrader for backtesting, and build a single quantitative strategy first—momentum-based or statistical arbitrage. Add machine learning signals later once the core loop is stable and profitable. The critical piece most bots miss is proper position sizing and drawdown limits; I'd structure those as hard constraints in the execution layer. In the first 24 hours, I need to know: which broker are you planning to use, what's your starting capital, and what's your maximum acceptable daily loss? That shapes whether this is a quick MVP or needs more scaffolding. Best regards, Val

@serviceaxisgroup

Hi, I can help with a hands-off intraday AI bot that streams live quotes, predicts signals, and executes equity trades while staying inside your defined risk limits. I’ll start by wiring the Python data→features→model→execution pipeline with paper/live switch, then add guardrails (position caps, max daily loss, volatility pause, dynamic stops) and exhaustive trade logging for quick review. Which broker API do you prefer (Interactive Brokers or Alpaca)? Do you want the dashboard as a simple CLI or a lightweight web UI? If you share those, I’ll outline the integration plan and timeline.

@hugog17

Hi there A trading bot that isn't built risk-first isn't a bot — it's a liability waiting for a volatile session to expose it. The system I'd build connects to Alpaca or IBKR for live order routing, streams L1/L2 data through a scikit-learn signal pipeline, and enforces hard risk gates — position caps, max daily loss, volatility circuit breakers — at the execution layer, not as a dashboard toggle someone forgets to set. For a private trader's intraday momentum strategy, I delivered a backtested Sharpe of 1.7 across 14 months of minute-level data, then deployed live with zero runaway-order incidents. The entire pipeline runs on your server in Python, with a clean CLI for parameter tuning and a trade log that captures every fill, signal, and rejection for post-session review. What broker are you leaning toward — Alpaca or Interactive Brokers?

@Apponn

Hey there, I came across your Stock Day Trading Bot Development project and understand that you're looking for a reliable automated trading solution capable of analyzing market data, generating signals, and executing trades efficiently. I specialize in Python development, trading bots, API integrations, automation systems, and AI-powered solutions. I have experience building data-driven applications with real-time processing, strategy implementation, and performance optimization. My approach would be to develop a secure, scalable, and reliable trading bot focused on accuracy, speed, and long-term maintainability. I can also share relevant demo work and project references. Best regards, Rohit

@wilianf1

I checked your project requirements for the automated day-trading bot. Building an end-to-end ML pipeline with real-time data ingestion, strict risk controls, and automated execution is highly achievable, but doing it right requires a focus on low latency and bulletproof risk management. For this architecture, I strongly recommend utilizing Alpaca's API. Their WebSocket stream for real-time data and clean Python SDK make them ideal for seamless integration with Pandas and scikit-learn, keeping execution latency to an absolute minimum. My Proposed Approach: Architecture: A Python-based async pipeline separating the data ingestion (Level 1/2), the ML prediction engine (XGBoost/Scikit-learn), and the execution module. Risk Layer: Strict hardcoded guardrails for maximum daily loss, dynamic ATR-based stop-losses, and circuit breakers for high volatility. Backtesting & Delivery: Running a historical backtest using historical minute data to validate the strategy before safely deploying the script on your server with clean logging. Given the depth of Level 2 data processing and the requirements, I can deliver a robust, well-documented MVP. Let’s connect to discuss your target equities and strategy logic!

@mussaibb7

I'm excited to take on the challenge of developing a stock day-trading AI bot that connects to a robust data feed. Here's my proposal: To deliver high-quality results, I'll focus on crafting a tailored feature engineering strategy, rigorous validation process, and reproducible training pipeline. This will ensure that the AI bot's performance is not just impressive but also reliable and sustainable. With extensive experience in computer vision and ML delivery, I've developed a keen understanding of model tuning, validation strategies, and reproducibility. My previous work on multi-client ML inference APIs has also honed my skills in deploying scalable and efficient cloud-based systems. Here are some relevant highlights from my portfolio: I worked on computer vision and ML systems, including retraining automation across 30+ model classes. I also deployed multi-client ML inference APIs with sub-200ms latency and production-grade cloud delivery. To execute this project, I'll start by clarifying the scope, milestones, and technical constraints.

@mubashir021

Creating a robust AI-driven day-trading bot requires a strategic approach to ensure real-time performance and reliability. With extensive experience in Python and AI development, I can build a fully automated system that meets your specifications. The bot will integrate seamlessly with a live brokerage API, process real-time market data, and execute trades based on sophisticated algorithms. My approach includes leveraging libraries like Pandas and TensorFlow to develop a predictive model that analyzes market trends and implements risk management controls effectively. I will provide clean, well-commented source code, comprehensive documentation, and a back-test report to validate the trading strategies over a year. My goal is to deliver a solution that not only meets your trading needs but also allows for parameter tuning through a user-friendly interface. I have successfully developed similar systems in the past and can share relevant examples upon request. Let's collaborate to create a powerful trading tool that maximizes your investment potential.

@radheys40

I am Radheshyam K Mohapatra, a passionate Full Stack Developer offering freelance web and software development services. I help startups, businesses, and individuals build powerful digital platforms according to their requirements. My expertise includes website development, custom web applications, backend systems, database management, API integration, and responsive UI development. I focus on delivering high-quality work, timely project completion, and long-term support. Services Website Development Web Application Development Admin Panel Development Custom Software Development E-commerce Website Development API Development & Integration Database Design & Management Frontend UI Development Backend Development Website Maintenance & Bug Fixing Payment Gateway Integration Hosting & Deployment Support Technical Skills Frontend: HTML, CSS, JavaScript, Bootstrap, React Backend: PHP, Laravel, CodeIgniter, Node.js Database: MySQL, MongoDB CMS & E-commerce: WordPress, Shopify Other Skills: REST API, Payment Gateway, Git, Hosting, Server Deployment Why Choose Me? Complete full stack development support Clean and scalable code Mobile-friendly and SEO-friendly websites Custom solutions as per business needs Timely delivery Affordable freelance pricing Long-term technical support

@shahidhabib791

Hello, With a solid background in AI development and a special focus on building intelligent mechanisms for trading stocks and automating business processes, I am the ideal candidate for your Stock Day-Trading AI Bot Development project. My name is Habib, and I've helped numerous start-ups, SMEs, and complex businesses transform their operations through AI automation - exactly what your project requires. When it comes to stock day-trading, accuracy and speed are crucial. My expertise in Python programming would allow me to build a pipeline that seamlessly connects to live brokerage APIs, streams real-time market data, and makes lightning-fast buy-sell decisions - all essential aspects of your project. Moreover, I'm well-versed with libraries such as Pandas, NumPy, scikit-learn or TensorFlow which are widely used for complex data analysis - a skill that will prove valuable in implementing the real-time data analysis feature you seek in your project. Additionally, my proficiency in C++ Programming can ensure a robust and efficient prediction engine for your bot. Best Regards, Habib Ullah.