Automated Day-Trading Stock Bot

@onkarkulkarni8

Hello, I can help you with "Automated Day-Trading Stock Bot" as per your given project description. We can discuss more in detail during a chat conversation when you are available. I've worked on many PHP projects in recent times. So I am confident on achieving your expected Goals. Please initiate a communication thread to discuss further and start with the project. ⭐ 5.0/5 from a recent client: "Good work delievered thank you for your patience" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@Algokage

You can check my profile to see that I've just completed jobs on automated trading bots. I am an experienced software developer with a strong focus on financial trading applications. I have successfully delivered projects that automate trading strategies, including real-time order execution and position management. I will leverage my expertise to develop a robust, automated day-trading bot that adheres to your specified rules and requirements. I will deliver clean, well-documented code with a parameter-driven strategy file, ensuring easy adjustments to your trading rules. I will also implement safety features such as position sizing limits and a kill switch for instant control. Additionally, I will provide a user-friendly dashboard or CLI log for monitoring open positions, P&L, and recent trades. I am confident that my skills and experience will enable me to create a reliable and efficient trading bot that meets your expectations. Thanks, Adegoke M.

@emanz03

Partial fills and reconnects can leave a bot's position state out of sync with the broker. I'd build a Python execution layer that reconciles orders and positions, keeps your rules configurable, and enforces sizing, daily-loss limits and a kill switch independently of signals. I've developed trading automation with execution and risk controls. Which instruments and broker account will the bot use? That determines the data feed and order handling for the paper-account demo.

@richard031596

You need a fully automated day-trading execution bot that converts your tested rules into real-time entries, exits, position monitoring, and broker API orders with strict risk controls. I can build this in Python with a clean separation between strategy parameters, execution, risk management, and monitoring. My matching experience includes Python, FastAPI, WebSockets, REST APIs, PostgreSQL, asynchronous processing, and automated workflow systems. I’ll integrate the selected brokerage API for market data and order execution, while keeping entry/exit thresholds in a configuration layer so strategy changes do not require modifying execution code. The system will enforce position-size limits, maximum daily loss, duplicate-order protection, connection/error handling, and an immediate kill switch. A CLI or lightweight dashboard can show positions, P&L, order status, and recent trades. I’ll provide commented source, configuration documentation, setup instructions, and demonstrate the complete workflow on a paper-trading account before any live deployment. Which broker API and asset class should the first implementation target?

@amit719

I can convert your existing day-trading rules into a configurable automated trading bot with real-time market data and broker API integration. I’ll implement parameterized entry/exit rules, automated order placement and position monitoring, configurable position sizing, maximum daily-loss protection, and an immediate kill switch. A lightweight dashboard or CLI will show positions, P&L, orders, and execution logs in real time. I’ll keep the strategy logic separate from the execution layer so you can adjust thresholds without modifying the core system. The code will include clear error handling, logging, retry controls, and safeguards against duplicate or unintended orders. I’ll first validate everything on a paper-trading account, provide a live demonstration, and deliver the complete source code, configuration files, and setup documentation. Please share your strategy rules and preferred broker/API so I can estimate the development timeline accurately.

@marvind18

You have already validated the trading rules; you need a Python execution system that applies them consistently in real time, with hard risk limits and a safe paper-trading acceptance path. I would build this in Python around the broker’s official API, with separate modules for market data, strategy parameters, order execution, position monitoring, risk controls, and reporting. At Marin Software, I built serverless Python real-time pipelines, so I treat retries, delayed events, state recovery, and clear logs as core parts of the build. Your entry/exit rules will live in an editable configuration layer rather than inside execution code. The bot will enforce position-size caps, a daily-loss circuit breaker, duplicate-order protection, and an immediate kill switch before any order is submitted. A compact dashboard or CLI will show open positions, P&L, order status, and recent events. I will first validate the complete lifecycle on a paper account, including rejected orders, partial fills, reconnects, and forced exits, then deliver documented source and setup steps. Which broker do you intend to use, and do your rules require intraday-only positions or any overnight holding?

@aakaashberi

My profile covers Python, workflow automation and REST API development. I can translate your supplied entry/exit rules into a parameter-driven Python service, with a CLI showing positions, P&L and order events. I would begin on a paper account, as requested for acceptance, without claiming a past trading-bot case or profitable results. First phase: 3 hours to document exact signals, symbols, market sessions and order types, confirm your broker/data access, and define acceptance scenarios. Then estimate implementation for one broker and one agreed strategy. Alpaca is an option for supported US equities; select the broker to match your market. Track submitted, partial-filled, rejected, replaced and cancelled orders, reconcile broker positions after reconnects, and use persistent order IDs to avoid duplicate execution. At INR750/hour with a 10-hour weekly limit, I expect a straightforward paper-account version to take roughly 20-35 hours after the rules audit, subject to its findings. Include configurable position limits, a daily-loss entry cutoff and a kill switch with explicit cancel/close behaviour; exits cannot be guaranteed instantaneous. Deliver commented source, config, README and paper-demo tests. Live deployment follows separate approval and validation; data/hosting/broker fees are extra. Which market, broker and exact rule specification do you use?

@braing2

Hello, I built 7 products in 7 days, and every client I've worked with on Freelancer has said they'd hire me again. I'll build it on Alpaca first, since its paper account streams live data and fills orders for free, with the broker calls kept in one module so Interactive Brokers can slot in later. Your rules will live in one config file. On every start the bot reads open positions and orders from the broker itself, so a restart or dropped connection never leaves a trade unmanaged. The kill switch cancels all open orders and closes every position in one command, and the daily loss cutoff counts open losses as well as closed ones. I'll run your rules on paper for several sessions and log each trade against the rule that fired it before the live demo. Amul

@alfatrade2

Are your exit rules numeric thresholds, or an indicator computed from the live feed? Thresholds stay in a strategy file outside the order loop, and a kill switch flattens the book once max daily loss is hit. On a paper demo the risky gap is a race: an exit can fire while a submit or amend is still pending, so I read the broker position before the next order. I have shipped automated API flows that create, iterate, track goals and monitor leads through Yandex Direct API v5.

@iitiancraft5

Hi, I don’t believe in sending a generic proposal without understanding what you actually need. I first look at the problem, the expected outcome, and the best way to build or execute it. I can help with the development, implementation, integration, or optimization required for your project, with a focus on **clean execution, responsive communication, scalability, and long-term maintainability**. My approach is simple: • Understand the current setup and requirements • Recommend the most practical solution • Build/implement it cleanly • Test everything against the actual requirements • Optimize and refine based on feedback • Provide clear communication throughout the project If there is a better technical or strategic approach than the one initially proposed, I’ll point it out rather than simply following a specification that may create problems later. I can also share relevant work based on your specific project rather than sending unrelated portfolio links. If you share the current setup, requirements, or designs, I can quickly understand the scope and suggest the right approach. Let’s discuss the project and get started. Thanks, Manik

@theyasirahmad

Hi, Your manually tested trading rules can be turned into a real-time execution bot that handles entries, position monitoring, exits, and risk controls automatically without manual clicks. I’ll connect the bot to a supported brokerage API such as Interactive Brokers or Alpaca, separate the strategy parameters from the core code, and implement automatic order submission, modification, position tracking, and exit execution. I’ll also add position-size limits, a maximum daily-loss cutoff, an instant kill switch, and a dashboard/CLI showing positions, P&L, orders, and trade history. The code will be clean and documented with a clear README covering configuration and operation. Which broker API do you prefer? What market and instruments will the bot trade? Are the entry/exit rules already documented? Should it run on one account or multiple accounts? I’ll first validate the strategy on a paper account, demonstrate the complete execution flow, and only then prepare it for live deployment. Best regards, Yasir K

@abhilashr53

I can deliver 'Automated Day-Trading Stock Bot' end to end — clean architecture, tests, and deployment. I'll start with a short plan, share progress daily, and hand over production-ready code. Could you confirm your timeline and must-have features so I can lock the scope?

@shikhajatav396

I can develop this automated trading bot to follow your already-tested day-trading rules in real time, so orders can be handled without manual clicks. The bot will connect with the brokerage, process live market data, manage positions, apply your entry and exit rules, and keep complete trade records. I have 4 years of experience with Python, REST APIs, WebSockets, PostgreSQL, trading APIs, automation, real-time data, backend development, and cloud deployment. Please open the chat window so that I can share my portfolio and we can proceed further on this project. In addition to your project needs, I'll provide you with clean source code, free bug patches, and maintenance. I am awaiting your positive response. Regards Shikha

@anas389

Hi, I can develop your automated day trading bot around your existing rules, with a strong focus on reliable execution, risk controls and clear monitoring. I can handle: • Real-time market data and brokerage API integration • Automated buy, sell, amend and exit execution • Parameter-based strategy configuration • Position sizing and exposure limits • Maximum daily-loss cutoff and emergency kill switch • Position, P&L and trade monitoring through a simple dashboard/CLI • Trade logging and error/retry handling • Paper-trading environment for safe validation • Clean, modular Python code with documentation and setup instructions I’ll first convert your manually tested rules into clearly defined entry, exit and risk conditions, then implement the execution engine and validate it thoroughly using a paper account before any live deployment. I can work with Interactive Brokers, Alpaca or another suitable broker depending on your market and requirements. The budget and payment terms can be discussed and mutually finalized after reviewing the complete requirements and scope of work. Best regards, Anas

@marjanizaid12

Hello, I can develop your automated trading bot in Python with broker API integration, real-time market data, automatic order execution, position monitoring, configurable strategy parameters, risk limits, daily loss cutoff, and an emergency kill switch. I will also provide trade logging/dashboard or CLI monitoring, clean documented source code, configuration files, and setup instructions. I recommend developing and validating the system on a paper-trading account first, with proper handling for API failures, rejected orders, duplicate orders, and unexpected disconnections. Before starting, I would like to confirm the broker/API, market, exact entry/exit rules, order types, and deployment requirements. Bid: ₹1,000/hour

@hagera49

Hi, I’d be happy to help you turn your existing day-trading rules into a fully automated and reliable trading bot. I have experience with Python, API integration, automation, and building structured software systems, and I can implement your strategy so that trades are executed automatically according to your predefined rules. For this project, I can: - Integrate the bot with a broker API such as Interactive Brokers or Alpaca - Implement real-time market data monitoring and automated order execution - Add configurable parameters for entry, exit, stop-loss, take-profit, and position sizing - Build safety controls such as daily loss limits and kill-switch functionality - Add detailed logging for orders, fills, positions, P&L, and errors - Provide clean, well-documented source code and a clear README - Test the complete workflow on a paper-trading account before delivery I’ll keep the trading logic separated from configuration settings so you can easily adjust your thresholds later without modifying the core code. I can also provide a short live demonstration showing the bot opening, managing, and closing paper trades automatically based on your rules. I’m ready to start immediately and would be happy to discuss the broker API and exact trading rules before implementation.