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I need a fully automated day-trading bot that connects to my Binance account via the official REST/WebSocket APIs. The system must open and close intraday positions based on technical signals I can tweak—think moving averages, RSI, MACD or similar—while respecting editable risk controls such as position size, daily loss limits, take-profit, and stop-loss levels. Only Binance support is essential right now, but please structure the code so that extending it to other exchanges like Coinbase or Kraken later would be straightforward. You may choose the language and stack; Python with ccxt or Node.js with the Binance SDK are both acceptable provided the solution runs reliably on a Linux VPS. Clean, well-commented code, API-key encryption, and no hard-coded secrets are non-negotiable. Timeframe is flexible; robustness and maintainability matter more than speed. Deliverables: • Source code in a private Git repository • README with clear setup & configuration steps • Config file template (pairs, indicators, risk settings) • Deployment script or Dockerfile • Short demo (video or live session) showing successful trades on the Binance testnet I will evaluate the bot on Binance’s paper-trading environment for at least one trading day; payment will be released once it performs as specified without errors.
Project ID: 40485029
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70 freelancers are bidding on average $566 AUD for this job

Hi, The ccxt + Binance WebSocket combo is the right call here — ccxt's unified interface also makes adding Coinbase or Kraken later almost trivial, which lines up with what you're after. I'd go Python with ccxt and asyncio for the live feed, storing all config (pairs, indicator params, risk limits) in a separate YAML file so you can tweak RSI thresholds or stop-loss without touching the code. API keys encrypted via environment variables, no secrets in the repo. I've built automation bots in Python for similar data-driven workflows, so the testnet validation step and Dockerfile setup are familiar territory. Happy to share code samples. What's your current thinking on signal logic — are the MA/RSI/MACD rules already defined, or do you want a UI to tune them? — Shah
$675 AUD in 3 days
8.7
8.7

Hello, With deep expertise in both web design and development, specifically in JavaScript and PHP, the skills that are essential to building an intelligent trading bot, I can assure you of a top-notch solution. Our team's strong focus on using the latest technologies ensures we stay at the cutting edge of this rapidly evolving domain. We completely understand the importance of your requirements: a clean, well-commented codebase, API-key encryption, no hard-coded secrets and reliable deployment. We take utmost care to meet these expectations for all our clients, providing secure and resilient solutions that stand the test of time. Lastly, as a company that values feedback and customer service above all else, I guarantee transparent communication throughout the project lifecycle. You will get frequent updates on the progress to ensure complete clarity on our work. We aim to not just meet but exceed your expectations. Let's connect and turning your need into a powerful reality that helps grow your business. It would be an honor to bring my skillset to bear on your project - let's build algo-power together! Thanks!
$450 AUD in 4 days
8.6
8.6

Hi — Elias here from Miami. I see you're looking to develop a fully automated trading bot for Binance. The goal is to create a reliable tool that executes trades based on specific strategies while interfacing seamlessly with the Binance API. The main technical challenge is ensuring the bot operates reliably under varying market conditions. What usually matters most is the bot's ability to manage real-time data efficiently and react promptly to market changes. The tricky part is often handling error states and ensuring that your trading strategy can adapt without manual intervention. My approach would involve setting up a robust architecture that prioritizes maintainability and scalability. I'd structure the bot to modularize trading strategies, allowing for easy updates as market conditions evolve. Emphasis would be placed on thorough error handling and logging, which are critical for performance insights. I've built similar trading systems focusing on API integrations and automated workflows, ensuring they can handle high-frequency data. A few questions to better understand the scope: Q1 – What specific trading strategies do you envision implementing? Q2 – Are there any particular risk management features you'd like included? Q3 – What are your expectations for performance during peak trading hours? Happy to discuss the details and suggest the best technical approach. Looking forward to hearing from you.
$500 AUD in 5 days
8.5
8.5

OKAY, I can build a robust and fully automated Binance day-trading bot with configurable technical strategies, strong risk management, and clean architecture designed for future multi-exchange support as per the given specification so lets get started and complete it----- The bot will include: • Binance REST + WebSocket integration • Automated trade execution (open/close positions) • Configurable indicators (RSI, MACD, EMA/SMA, etc.) • Risk controls: stop-loss, take-profit, max daily loss, position sizing • Secure API-key handling & encrypted configuration • Real-time logging, monitoring, and error recovery • Docker/Linux VPS deployment support • Modular structure for future Coinbase/Kraken integration I will give you exact accurate budget after the proper detailed discussion . Let’s connect on chat for further discussion and start quickly. Thanks!!
$760 AUD in 7 days
8.1
8.1

⭐⭐⭐⭐⭐ Create an Automated Day-Trading Bot for Binance with Python or Node.js ❇️ Hi My Friend, I hope you're doing well. I’ve reviewed your project requirements and see you are looking for an automated day-trading bot for your Binance account. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for trading bot development. I will create a reliable system that uses technical signals like moving averages and RSI while respecting your risk controls. ➡️ Why Me? I can easily build your trading bot as I have 5 years of experience in developing automated trading solutions, focusing on APIs, technical indicators, and risk management. My expertise includes Python, Node.js, and Linux environments, ensuring your bot runs smoothly and efficiently. ➡️ Let’s have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to our chat! ➡️ Skills & Experience: ✅ Python Development ✅ Node.js Programming ✅ API Integration ✅ WebSocket Communication ✅ Risk Management ✅ Technical Analysis ✅ Clean Code Practices ✅ Linux VPS Deployment ✅ Git Version Control ✅ Debugging Skills ✅ Data Handling ✅ Automation Techniques Waiting for your response! Best Regards, Zohaib
$350 AUD in 2 days
8.1
8.1

Hi, I'm a PHP developer who builds clean, maintainable backends — not bloated CMS setups. I work daily with core PHP and Laravel/Symfony, MySQL schema design, and well-structured REST APIs, with attention to validation, security (SQLi/XSS), and readable code. For your project I'll start by confirming the exact scope and data model, then deliver in small, testable milestones so you can see progress early. You get clean code, clear commits, and documentation for anything non-obvious. I'd like to understand a couple of specifics before quoting a firm timeline — could you share [the key requirement] and whether there's an existing database/codebase to work with? Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.
$600 AUD in 9 days
7.5
7.5

Hi I can build your automated Binance day-trading bot with REST/WebSocket integration, configurable technical indicators, risk controls, and Linux VPS deployment support. My experience includes Python, ccxt/Binance APIs, WebSocket market feeds, trading strategy modules, Docker, encrypted API key handling, logging, and testnet validation. A key technical problem is keeping live price data, signal generation, order execution, stop-loss, take-profit, and daily loss limits synchronized without missed trades or unsafe exposure. I would solve this with a modular exchange adapter, configurable strategy engine, risk manager, order lifecycle tracking, retry/error handling, and no hard-coded secrets. The bot can support MA, RSI, MACD, editable pairs, position sizing, testnet mode, performance logs, and clean configuration through a template file. I can also structure the code so Coinbase or Kraken support can be added later with minimal changes. My focus is to deliver a maintainable, transparent trading system that runs reliably and can be tested safely before live use. Thanks, Hercules
$500 AUD in 7 days
7.5
7.5

Good morning! I'll build your fully automated Binance day-trading bot in Python using ccxt, connecting via REST and WebSocket APIs with configurable indicators (moving averages, RSI, MACD), editable risk controls (position size, stop-loss, take-profit, daily loss limits), encrypted API keys, a Dockerfile for Linux VPS deployment, a private Git repo with full README, and a testnet demo showing live trades. Any specific indicator combinations or risk parameters you want set as defaults in the config template?
$500 AUD in 7 days
6.5
6.5

Hello! I am a Florida-based senior software engineer with over 15 years of experience in building robust software solutions, including automated trading systems. I carefully read your project description and understand you're looking for a fully automated day-trading bot for Binance, which is an exciting challenge! To ensure I meet your expectations, could you please clarify the following questions to help me better understand the project? 1. Are there specific trading strategies or indicators you want the bot to implement? 2. Do you have any preferred programming language between PHP, Python, or Node.js for this bot? 3. What security measures do you want in place for handling your Binance API keys? With my background in API integration and financial trading systems, I'm confident I can deliver a tailored solution to help you achieve your trading goals efficiently. My approach is to first outline the desired trading strategies, followed by a phased development plan, ensuring thorough testing and optimization before deployment. I have successfully developed similar systems and have participated in the Shopify partners program since 2016, building numerous apps and themes. If you're looking for a dedicated professional who pays attention to detail and can drive your project to success, let’s connect! Looking forward to your response! -James
$500 AUD in 3 days
6.4
6.4

I’ve built trading bots before that use Binance’s REST and WebSocket APIs to manage positions with customizable indicators and risk limits. A clean, modular setup lets you tweak signals—like moving averages, RSI, and MACD—and risk controls without digging into the code. Encrypting API keys and avoiding hard-coded secrets is a must, and I can deliver that alongside clear documentation and deployment scripts tailored for a Linux VPS. One thing to confirm: do you want the bot to handle multiple pairs simultaneously or just focus on a single pair at first? Also, should alerts or logs be part of the system to track decisions in real time? Including these would help quick debugging during your paper-trading phase. I’ll structure the code so adding other exchanges later requires minimal changes, keeping your future plans in mind. The demo on Binance testnet will show live order execution and position management with your parameters. Ready to start building this solid day-trading bot for you.
$750 AUD in 7 days
6.0
6.0

Dear Client, Hello dear! I’m Md. Toriqul Islam, an experienced full-stack developer specializing in Python, API integrations, automation, and trading systems with 10+ years of experience. I’m excited to partner with you and can dive into your project immediately. I understand you need a fully automated Binance day-trading bot with configurable indicators, risk controls, REST/WebSocket integration, secure API-key management, Docker deployment, and testnet validation. I have worked on automation platforms and real-time data-driven systems requiring reliability, scalability, and maintainable architecture. I have rich experience in trading bot development. I am skilled in Python, CCXT, Binance API, WebSockets, Docker, Linux VPS, and secure software design. Feel free to share additional details or ask questions. I’m happy to refine my approach to fit your needs. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Md. Toriqul Islam
$250 AUD in 5 days
6.2
6.2

Hi, You need a robust, automated Binance day-trading bot that executes technical indicator-based strategies while enforcing strict risk management via REST/WebSocket APIs. You require a modular architecture that prioritizes security and future-proofing for multi-exchange expansion. I’ve previously built high-frequency Python pipelines for deep learning models, where I handled real-time data ingestion and API security. For your bot, I will use the `ccxt` library for its unified exchange interface, ensuring the logic remains exchange-agnostic. I’ll implement an asynchronous event-driven architecture to ensure low-latency execution and use `python-dotenv` to ensure your API secrets are never hard-coded. My previous automation projects consistently maintained 99.9% uptime on Linux VPS environments. Will you be using a specific set of timeframe intervals for your RSI/MACD signals, or should I build the framework to support multi-timeframe analysis from the start?
$675 AUD in 7 days
6.1
6.1

Hi, I can help build a reliable Binance trading bot with configurable strategies, risk controls, and clean deployment for a Linux VPS. I have experience with Python/Node.js automation, exchange APIs, WebSocket data feeds, REST order execution, configuration-driven systems, and secure API handling. For this project, I would structure the bot with separate modules for exchange connection, strategy signals, risk management, order execution, logging, and future exchange adapters so Binance works first while Coinbase or Kraken can be added later. The bot can support editable indicators such as moving averages, RSI, MACD, take-profit, stop-loss, daily loss limits, position sizing, and testnet mode before any live trading. I would avoid hard-coded secrets, use environment variables or encrypted config, include clear setup instructions, Docker deployment, and provide a demo showing testnet trades working properly. My focus would be robustness, maintainable code, error handling, reconnection logic, and safe execution rather than risky shortcuts. Best, Justin
$500 AUD in 7 days
6.0
6.0

Hello, Your project aligns well with my experience developing automated trading systems, exchange API integrations, and risk managed execution engines. I have worked with real time market data, technical indicator based strategies, order management, and secure API handling for trading applications. I can help create a clean and maintainable solution that connects directly with Binance, supports configurable trading rules, and includes flexible risk controls such as position sizing, stop loss, take profit, and daily loss limits. The system will be structured for future exchange expansion while remaining easy to manage and deploy. I would appreciate the opportunity to discuss your strategy requirements and preferred indicators in more detail. A short meeting would allow us to define the trading logic and create a clear roadmap for development and testing. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira
$500 AUD in 7 days
5.6
5.6

I understand you require a fully automated Binance crypto day-trading bot that integrates with your account using the official REST/WebSocket APIs. The bot needs to execute trades based on configurable technical indicators like moving averages and RSI, while strictly adhering to editable risk parameters including position size, daily loss limits, take-profit, and stop-loss. I previously built and deployed a similar trading bot for a client, achieving a consistent 15% weekly profit margin within their defined risk parameters. My proposed solution involves developing this bot in Python, leveraging the `ccxt` library for robust Binance API interaction and `pandas` for technical indicator calculations. The core logic will be structured as a class, allowing for clear separation of concerns between signal generation, order execution, and risk management. For signal generation, I will implement functions for calculating moving averages, RSI, and MACD, all of which will be easily configurable via a JSON settings file. Order execution will utilize `ccxt`'s `create_limit_buy_order` and `create_limit_sell_order` methods, with dynamic stop-loss and take-profit orders placed immediately after. The codebase will be modular to facilitate future integration with other exchanges. What specific data points from the WebSocket stream are most critical for real-time signal confirmation beyond price and volume? Ready to start as soon as you confirm scope.
$640 AUD in 21 days
5.2
5.2

Hello, Your requirements are clear, and I like that the focus is on reliability, risk management, and maintainability rather than simply placing trades. I can build a modular trading bot that integrates with Binance through the official APIs, processes market data via WebSocket streams, and executes trades based on configurable technical indicators such as RSI, MACD, moving averages, and custom signal combinations. Risk controls including position sizing, stop-loss, take-profit, and daily loss limits will be fully configurable through external settings rather than hard-coded values. The architecture will separate exchange connectivity, strategy logic, risk management, and execution layers, making future support for additional exchanges much easier. The project will include secure credential handling, detailed logging, Docker deployment, testnet validation, and clear documentation for ongoing maintenance. You'll receive clean source code, a configuration template, deployment instructions, and a demonstration running successfully on the Binance testnet before final delivery.
$500 AUD in 7 days
6.0
6.0

Hi, I have thoroughly reviewed your project requirements for a fully automated Binance crypto day trading bot. With extensive experience in developing secure, API-driven trading systems using Python and Node.js, I am confident in delivering a robust bot that meets your needs. My approach includes clean, maintainable code with encrypted API keys, comprehensive risk management controls like adjustable position size, daily loss limits, take-profit, and stop-loss levels, and a modular structure to easily extend support to other exchanges. I will provide a private Git repository with full source code, detailed README, configuration templates, deployment scripts, and a demo showcasing live trades on the Binance testnet, ensuring reliability and transparency. The project focus on robustness means ample testing with your input before final delivery. I suggest a timeline of 14 days for development and testing to ensure a stable and feature-complete bot. What specific technical indicators or risk parameters are most critical for you to have adjustable in the initial version? Best regards,
$555 AUD in 17 days
4.9
4.9

You want a Binance-only day trading bot that uses the official REST and WebSocket APIs, enforces editable risk controls, and is easy to extend to other exchanges — that’s exactly the brief I build for. The key is separating signal logic from execution and risk so you can tweak indicators without risking live orders or mixing responsibilities. I built the CrowdAxis scoring engine as a FastAPI service that ingests live feeds and runs async workers to act on signals reliably, which is the same reliability pattern this bot needs. Plan 1. Build a Python core with ccxt for REST plus a Binance websocket adapter, a pluggable strategy layer, a risk manager, and an order manager. Store trades in Postgres or SQLite and encrypt API keys with Fernet. 2. Provide a config template with pairs, MA RSI MACD parameters, position sizing, daily loss and TP SL limits, plus Dockerfile and deployment script. 3. Deliver private Git repo, README, encrypted config example, and a short demo recording on Binance testnet. I will deliver all items you listed and avoid any hard coded secrets. My bid is 500 AUD. Which initial trading pairs and indicator presets do you want me to include in the demo testnet run? I can prepare an architecture diagram and the Dockerfile once you confirm.
$500 AUD in 7 days
4.8
4.8

As an accomplished programmer an experienced with JavaScript, PHP, Node.js and Python-among other programming languages-I can guarantee a high-quality development of your automated day-trading bot. With my expertise in these languages, I am able to choose the most suitable and reliable stack for your project. Whether it be trading on Binance, Coinbase or Kraken, I'll ensure that my codes are scalable enough to be adapted to other exchanges. Apart from my programming competence, I also emphasize on maintaining a clean codebase - well-commented, secure and devoid of hard-coded secrets. For the safety crucial in cryptocurrency trading, I would encrypt API keys and provide you with a README and detailed setup instructions. No worries regarding long-term use; I assure robustness and maintainability that goes beyond just reliability on a Linux VPS platform. Lastly, at Website and Mobile App developement company , we believe in not only delivering quality work but also adding more value to our clients. This is evident in our offer for three months after delivery support. You can rest assured that my solution will perform as specified without errors, earning your full payment once tested successfully on the Binance testnet. Let's turn your innovative crypto-trading idea into a reality!
$500 AUD in 7 days
5.4
5.4

Two things stood out: you want the strategy logic (moving averages, RSI, MACD) and risk controls (position size, daily loss limits, take-profit, stop-loss) all editable from config, and you want the exchange layer built so Coinbase or Kraken can drop in later. That second point is the real architecture decision, so I would start there. Here is how I would build it: 1. An exchange adapter interface with a Binance implementation behind it, so adding Kraken later means one new file, not a rewrite. Python with ccxt is my default for this since it normalizes exchanges cleanly, though I am happy on Node with the Binance SDK if you prefer. 2. A signals module (MA, RSI, MACD) and a separate risk engine that gates every order against your limits before it ever hits the API. 3. Config-driven setup (pairs, indicators, risk settings), API keys encrypted at rest with no secrets in code, plus a Dockerfile so it runs the same on your Linux VPS as on testnet. I build production Node.js and Python services on AWS Linux that run unattended and handle real money flows, including Stripe billing on a multi-org SaaS platform where idempotency and clean error handling were non-negotiable. The same discipline applies here: every order path is logged and recoverable. I would wire it to the Binance testnet first and hand you the demo there, exactly as you described, so you can run your full trading-day evaluation before any real key touches it. Done = the bot runs a full day on Binance testnet, opens and closes intraday positions on your configured signals, respects every risk limit, and logs without errors. Estimate is 7 days, with the adapter interface and testnet demo as the first checkpoint so you can sanity-check the architecture early. One choice to confirm: Python with ccxt, or Node.js with the Binance SDK? Both meet the brief, so I will match whichever your VPS and future maintenance preference favor. P.S. One thing most bots get wrong: they read account balance once at startup. I poll balance and open-position state before each entry so a partial fill or a manual trade you place yourself never desyncs the risk engine. Waqar
$550 AUD in 7 days
4.6
4.6

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