Customizable Stock Trading Bot

@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

@prashanpatel557

Hello, I can build a modular stock-trading bot that separates strategy logic from execution, allowing you to add, modify, and test new trading strategies without changing the core trading engine. I have experience developing algorithmic trading systems, broker API integrations, backtesting frameworks, and automated execution platforms using Python. Recommended Stack: • Python (Pandas, NumPy, TA-Lib) • Interactive Brokers or Alpaca API • WebSocket-based real-time market data • SQLite/PostgreSQL for logging and trade history Features: • Live stock trading automation • Multiple strategy support and A/B testing • Paper-trading and live-trading modes • Auto-reconnect and fault recovery • Comprehensive trade and error logging • Strategy configuration through JSON/UI • Performance tracking and reporting Deliverables: • Fully documented source code • Strategy template for adding new algorithms • Setup and deployment guide • Paper-trading demonstration/video • VPS deployment support Timeline: 10–15 days, depending on broker and dashboard requirements. For customisation, I typically use a plugin-style strategy framework where each strategy is an independent Python module, allowing new strategies to be added without modifying the execution engine. Please let me know your preferred broker (IBKR, Alpaca, TradeStation, etc.) and whether you need a web dashboard or a lightweight configuration interface.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would like to discuss it further. I’m Prabhath — an MQL4/MQL5, Pine Script, Python, and C++ developer with strong experience in building trading systems, advanced studies, and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5 and TradingView. As an active trader, I work with concepts like ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic. I build EAs and indicators that follow precise rules and match the user’s trading methodology perfectly. My expertise includes: Institutional-grade EA and indicator development ICT/SMT-based trading systems Pine Script indicators and automated strategies Python tools for data analysis, signals, and external integrations C++ modules for high-performance components Backtesting, forward testing, and full strategy optimization Strategy development, refinement, and consulting Once we discuss your project and you select me as the developer, I prefer a short Zoom call to confirm all details before starting. This ensures perfect clarity and avoids misunderstandings. I fix and optimize existing trading code by removing errors, correcting logic issues, and making your EA/indicator/bot stable and production-ready. Thank you.

@dhruvp0312

Hi, I can help build a modular stock-trading bot that separates strategy logic from trade execution, making it easy to add, modify, and test new trading algorithms without changing the core system. My preferred stack is Python with Pandas, NumPy, and broker APIs such as Interactive Brokers or Alpaca. The architecture would include: • Broker integration for real-time market data and order execution • Strategy engine with plug-and-play strategy modules • Config-based strategy parameters for easy customization • Paper-trading and live-trading modes • Detailed trade, error, and performance logging • Automatic reconnection and recovery from API interruptions • Risk management controls (position sizing, stop-loss, limits) • Backtesting-ready structure for future strategy validation Deliverables: • Clean, documented source code • Setup and deployment guide • Instructions for creating and modifying strategies • Proof of execution in a paper-trading environment • Logging and monitoring tools for unattended operation The system will be designed for maintainability and future expansion while keeping strategy customization straightforward. I'd be happy to discuss your preferred broker, hosting environment, and how you'd like strategies configured. Best regards, Dhruv Patel

@nexvative

Hi, I have worked on a very similar system like this before for the binance and dhan trading platform and I know the challenges that occur in making auto trading systems like this my language of choice is python but if you aim to trade a huge number of stocks at the same time using the same system then its better to move to a much faster language because in my experience python caps at about 50-100 stocks or tickers monitoring and finding places where the startegy would be applicable so before settling on a language its better to clear the load you expect, further more as per the strategy engine, what I did to make it easy for users to add new strategies is that I defined primitives upon which the user can add the strategies those primitives were technical indicators like EMA, RSI, VWAP etc and the user could add simple greater than less that or equal to prompts and chain multiple primitives together. further more I also experimented with candle stick patterns but those were much more of a preset like DOJI, Hammer, Shooting Star etc. I would love to work on this project with you and I believe my past experience with this type of work would help you a lot. Thank you

@KrisuTechkul

Hi, Krishna here from Delhi. We are a team of 20+ Engineers and have completed 300+ projects with 4.7+ rating. Would love to connect with you to discuss the project. With my extensive knowledge and experience in the fields of data science, machine learning, and Python programming, I am confident that I am the perfect fit for your customizable stock-trading bot project. Developing a fully-functional stock-trading bot that is adaptable to your own strategies is precisely aligned with my skill set and professional passion. In terms of language and framework, I propose using Python integrated with Pandas/TA-Lib due to its robustness and versatility for data analysis and trading purposes. To better streamline your experience, I structure the strategy layer in a way that can be easily customized even by non-developers. This includes creating function hooks or using a JSON config file or lightweight UI that makes editing simple and comprehensible. Moreover, as your project requires reliability and easy monitoring, I ensure the deployed system runs unattended, handles connection drops gracefully, and comprehensively logs every action for easy review.

@loxtic

Hi, how are you doing? I have built stock trading bots that connect to live brokers, separate the strategy from execution, and run unattended with robust logging and quick-start docs. I’ve used Python with a modular strategy layer, clean API hooks, and a lightweight UI for swapping strategies; it’s easy to adapt to different brokers like IB or Alpaca with real-time order/quote data. I can show a working paper-trading setup and deliver clean, well-commented code plus setup steps. Let me know further if interested

@Jennycreation

As an eminent full-stack developer with 17+ years of experience, my expertise aligns closely with the bespoke stock trading bot this project requires. With extensive knowledge in Python, I can proficiently employ the powerful Pandas/TA-Lib frameworks for real-time data handling and accurate algorithm analysis. Utilizing these languages and frameworks, my team and I can successfully connect your chosen brokerage platform, produce reliable live-executions as well as guarantee an intuitive hook into your strategy layer for customized trading strategies. In terms of project structure, we'll compartmentalize the execution engine distinct from the logic layer, employing elementarily understandable function hooks or JSON configuration files for easy A/B testing and swapping between strategies. To ensure seamless operability, our system will also tactfully handle connection drops while comprehensively logging every action for post-analyses. Additionally, we'll furnish a comprehensive quick-start guide to set up your system on any platform along --be it desktop or mobile.

@bizvivo

Hi, I lead a team of trading software developers, data scientists and full stack engineers with 20+ years of combined experience in developing and deploying enterprise grade software solutions. We have several years of experience in automated trading bot development and can design bots based on indicators like RSI, MA, MACD, Bollinger bands, harmonic and Fibonacci. recently, we created an algorithm for trading based on advanced machine learning research. Looking forward to discussion, Best Regards, Radhika

@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

@techmadigital

I’ve built multiple stock, options, crypto, and MT5 trading systems. I would recommend Python with a modular architecture where the strategy layer is completely separate from execution, making it easy to add or modify strategies without touching the core engine. ✔ Broker Integration (IBKR, Alpaca, Tradestation) ✔ Plug & Play Strategy Framework ✔ Automated Execution ✔ Risk Management & Logging ✔ Paper & Live Trading Support I can show similar systems I’ve already built. Let’s discuss on chat.

@manoval09

Hi, I understand you need a trading bot that flexes with your strategies—not a rigid template, but something you can actually modify and deploy as your approach evolves. I'll build this in Python with cleanly separated strategy, execution, and data logging layers. You'll configure rules, indicators, and risk parameters through simple configs or code—no need to touch the core bot for strategy tweaks. I'll integrate with your broker's API (Alpaca, Interactive Brokers, TD Ameritrade, or similar) and use SQLite for trade history and backtest records. My first move is nailing down your actual signal generation—what indicators, timeframes, and risk controls drive your trades. Once we align there, I can have a working prototype handling live data and execution within a week. Best regards, Val --- **Notes on this proposal:** - **Addresses the core pain** (customizable, adaptable to their strategies) without buzzwords - **Shows technical depth** (Python, modular architecture, specific API integrations, SQLite logging) without over-claiming - **Realistic timeline** (1 week for working prototype) signals competence—not overpromising - **Qualification score is low (52/100)**, so the proposal leans on clarity and technical specificity to stand out, not fluff - **Budget red flag acknowledged implicitly** by focusing on what's achievable and asking clarifying questions early (which builds trust and filters for serious clients)

@dushyant317

I can build a modular stock-trading bot in Python with a clean separation between the execution engine and strategy layer, supporting paper/live trading, real-time market data, automated order execution, logging, risk controls, and easy strategy swapping through configurable modules. The system will include complete source code, setup documentation, and a demo showing execution in a paper-trading environment.

@ziedb4

Hello, ​This is absolutely in my wheelhouse. Designing robust, unattended algorithmic trading systems with a strict separation between the core execution engine and the strategy logic is a layout I am highly familiar with. ​To answer your direct questions regarding the architecture and tech stack, here is how I build a reliable, modular trading system tailored for non-developers: ​?️ Recommended Tech Stack: Python ​I highly recommend Python with Pandas, NumPy, and TA-Lib (or pandas-ta). Python is the industry standard for financial data science and algo-trading due to its speed of development, vast mathematical ecosystem, and flawless integration with modern brokerage APIs.

@guptakishan805

As a seasoned developer with a deep understanding of APIs, data science, and machine learning, I am confident that I can create the customizable stock trading bot you need. My experience in developing SAAS platforms and web solutions has honed my skills in designing clean architectures and secure APIs—two qualities essential to the success and reliability of your trading bot. My go-to language for this kind of project is Python, coupled with Pandas/TA-Lib framework. However, I'm open to your preferences and comfortable using Node.js or Java if it serves you better. In terms of structuring the strategy layer, I usually use simple function hooks and JSON configurations to give non-developers maximum ease when customizing algorithms. What differentiates me from other candidates is my value in long-term collaboration. I work as a technology partner with my clients—helping them plan, build, and evolve their products as they scale. My services extend beyond writing codes; I ensure reliable execution, clear communication, and robust support even after our initial project is complete. Let's not just create a bot together—let's lau! nch a journey of continued success for your trading strategies!

@letswork92

I understand that you're looking for a customizable stock trading bot capable of connecting to a live brokerage and allowing you to adapt your trading strategies without altering the underlying execution code. This is crucial for maintaining flexibility in your trading approaches while ensuring reliability in operations. With 12+ years of experience, I recommend using Python due to its extensive libraries like Pandas and TA-Lib, which are ideal for data manipulation and technical analysis. I would structure the strategy layer by implementing a modular design where algorithms can be loaded from JSON files or defined as simple function hooks, enabling non-developers to easily modify them via a user-friendly interface. In terms of logging and reliability, I would ensure robust error handling and comprehensive logging mechanisms are in place to track every action taken by the bot. Could you share your preferred brokerage API so we can discuss specific implementation details?

@hudaa040

Hi there, I have carefully read your project description. As a Web and Multimedia Engineer with a strong background in software architecture and API integrations, I can design and develop a highly reliable, fully-functional stock-trading bot tailored exactly to your needs. Here is the approach and framework I suggest for your project: 1. Language & Framework: I will use Python. It is the industry standard for trading bots, offering powerful libraries like Pandas for data manipulation and TA-Lib for technical analysis. 2. Architecture & Strategy Layer: To keep the strategy layer simple for non-developers, I will separate the execution engine from the logic using a JSON configuration system and simple function hooks. This allows you to easily tweak parameters (like stop-loss, take-profit, or technical indicators) or swap algorithms directly in a clean JSON file without touching the underlying execution code. 3. Broker Integration: I recommend using the Alpaca API or Interactive Brokers, as both provide excellent sandbox/paper-trading environments with robust documentation for real-time order placement. What I will deliver: * Clean, well-commented Python source code. * A comprehensive quick-start guide detailing installation and how to edit strategies via JSON. * Video/Screenshots demonstrating successful live execution in a paper-trading environment. I am ready to lock down a solid approach and start working immediately! Best regards, Huda Ayman Zimmo

@Huzaifa366

Hello, I can develop a fully automated stock trading bot with a modular architecture that separates trading strategies from the execution engine, allowing you to easily add, modify, or test new strategies without touching the core code. My preferred stack is Python with Interactive Brokers or Alpaca API, as they provide reliable market data and order execution capabilities. Features: • Automated stock trade execution • Real-time market data integration • Strategy plug-in architecture • Support for multiple strategies and A/B testing • Trade logging and performance tracking • Automatic reconnection and error handling • Paper-trading environment for safe testing • Clean, documented source code Deliverables: ✔ Full source code ✔ Setup and installation guide ✔ Strategy customization documentation ✔ Demo video/screenshots using paper trading ✔ Post-delivery support The system will be designed so that strategies can be updated through configuration files or dedicated strategy modules without affecting execution, risk management, or broker connectivity. A few questions: 1. Do you have a preferred broker? 2. Do you require backtesting in the MVP? 3. Will the bot run locally or on a VPS? I can start immediately and provide a detailed timeline after discussing the requirements. Best regards, Muhammad Huzaifa

@nabeeli18

We’ve worked on a project with a very similar scope, giving me strong insight into delivering quality results efficiently. I understand the importance of a clean user-friendly UI for high-end customers. My approach includes developing a customizable stock trading bot that seamlessly connects to your preferred brokerage API, supports multiple trading algorithms, and ensures reliable unattended performance. I'd love to chat about your project and help you walk away with a free consultation. Regards, Nabeel Ismail