Automated Binance Spot Trading Bot (Python) - Multi-Sniper Strategy

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an Automated Spot Trading Bot on Binance with Python ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an experienced Python developer to create a trading bot for Binance. You don't need to look any further; Zohaib is here to help! My team has successfully completed 50+ similar projects for trading bots. I will build a robust bot using multi-indicator analysis and a solid risk management layer, all while ensuring full control via Telegram. ➡️ Why Me? I can easily create your automated spot trading bot as I have 5 years of experience in Python development, specializing in trading systems, WebSockets, and risk management. My expertise includes designing modular architectures, implementing unit tests, and handling live data effectively. I also have a strong grip on trading logic and technical indicators to ensure optimal performance. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work and how I can meet your needs efficiently. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Python 3.11+ ✅ WebSocket Integration ✅ Risk Management Systems ✅ Modular OOP Architecture ✅ Unit Testing ✅ Trading Logic Implementation ✅ API Development ✅ Data Analysis ✅ Telegram Bot Development ✅ Backtesting Strategies ✅ Error Handling ✅ Server Infrastructure Management

@corpmember29

Hello, Automated Binance Spot Trading Bot (Python) - Multi-Sniper Strategy {{{ I HAVE CREATED SIMILAR BEFORE AND I CAN SHOW YOU }}} I have carefully reviewed your Binance Spot trading bot requirements and understand that you need a reliable, fully automated system focused on fast entries, multi-indicator confirmation and strict independent risk management. I have 11+ years of Python and trading automation development experience and can build the bot with the complete multi-sniper strategy, including live market monitoring, Fibonacci/FVG, CVD, MFI, Bollinger Bands, OBI, VWAP, ATR and BTC/ETH correlation filters. I will implement the Spot-only execution flow with IOC orders, accurate partial-fill handling, configurable profit targets, cooling/DCA limits, blacklist rules and the independent Watchdog with daily loss protection and API rate-limit management. I will also build the Telegram control panel with Arabic support, phone-friendly controls, coin switching, percentage adjustments and alerts, while keeping the system restricted to the required Binance Spot permissions and without withdrawal access. I WILL ALSO PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. Thanks, Christina

@malika335

Hi there! Building an automated Python Spot trading bot for Binance—featuring live WebSocket data streams, multi-indicator technical confluence (Fibonacci, Fair Value Gaps, CVD, MFI, Bollinger Bands, and Order Book Imbalance), an independent watchdog risk-management module, backtesting validation, and a full Telegram Mini App control panel—is right in my wheelhouse. I regularly build advanced Algorithmic Trading systems, real-time signal processing pipelines, and Python architecture solutions, so feel free to check my profile portfolio. Before we get started, do you have a preferred VPS provider setup or specific API key restrictions you would like configured for the initial demo deployment? Once you share the details, I can map out everything cleanly and deliver the modular source code, backtesting report, and setup instructions step-by-step. Looking forward to working together! Best regards, Ahmad Hassan

@PINESCRIPTERR

Hi, I can architect a Spot-only Binance bot using Python 3.11, asyncio, WebSockets, Decimal-based accounting, a durable order-state machine, and a separately supervised risk process. Execution would include idempotent client order IDs, IOC price protection, partial-fill reconciliation, rate-limit queuing, restart recovery, and exchange-state verification before any new order. The strategy and risk layers should remain independent, with configurable signals, ATR-based targets, DCA limits, exposure caps, daily circuit breakers, and paper/live modes. Spoofing, wash trading, and news-based crash detection can only be probabilistic filters, not reliable guarantees, and their external data sources must be explicitly disclosed and approved. Several requirements need revision before responsible engagement. A zero-stop-loss policy combined with DCA can create severe uncontrolled losses; spawning another bot should not bypass portfolio exposure limits; flushing memory every 15 seconds is not a sound reliability control; and a 30-day “zero errors” trial that resets indefinitely is not an objective acceptance test. Backtests must also include fees, spread, slippage, latency, liquidity, and out-of-sample validation without promising profitability. I can provide auditable source, tests, deployment, encrypted backups, reconciliation reports, and a disaster-recovery runbook. Regards, Houssame

@denisSolution

Hi, I'm Denis, a full-stack developer with hands-on experience building production trading systems handling real WebSocket streams, order execution, and risk management at scale. I understand your needs: a production Binance bot executing spot trades with strict risk controls, multi-indicator confluence for entries, and complete Telegram control. The core challenge is threading real-time market data, precise order execution with partial-fill handling, and an independent watchdog preventing losses. I've built similar systems where WebSocket feeds drive instant entries, rate limiting prevents API lockouts, and risk layers operate independently from trading logic. My approach: start with requirements and architecture design, then build the core trading engine with live WebSocket integration and IOC order execution. The watchdog risk module runs as a separate process in parallel. Once trading logic and risk management are solid, I'll integrate Telegram controls, add backtesting validation against 12 months of historical data, and deploy to your Hetzner server with monitoring and backups. A 30-day live trial follows, with issues fixed within 48 hours. Critical focus: order execution reliability. Partial fills, slippage, and latency need careful handling. I'll implement a robust order-state machine that tracks fills accurately, handles rejections, and ensures position tracking never drifts from reality. One realistic risk: Binance API rate limits during high-volatility period

@mahads31

As-salamu alaykum! My name is Mahad Sheikh, and I have the deep and professional experience you need as a Python developer to deliver this advanced trading bot project. My career has seen me building high-stakes systems that match the requests of this project perfectly, balancing security and real-time performance. Importantly, I have your required Binance API experience, having created real trading bots that are live and handle market fluctuations in real-time transactions. When it comes to delivering clean, scalable code for long-term success, my work is guided by efficient logical stability. With a background in not only Python but also PHP, Javascript, Node.js and more, I can bring diverse perspectives to your unique project requirements. You can trust in my deep knowledge of order book management, dynamic cooling targets via ATR, anti-spoofing techniques etc. Delivering market-ready technology exactly as envisaged is my expertise. Through close collaboration, transparency, and constant feedback loops with my clients and teammates, I'll build a robust trading bot adhering strictly to your stipulated modules— from being compliant with blacklisting meme coins or interest-bearing (riba) coins to preventing wash-trading using reliable risk-management methods — we will cover each aspect.

@prashanpatel557

Hello, I have strong experience developing Python-based automated trading systems, including real-time WebSocket market data, broker/exchange API integration, order execution engines, risk-management modules, backtesting, and VPS deployment. Your Multi-Sniper Binance Spot Bot is technically ambitious, and I can help structure it as a modular, production-focused system with: * Python OOP architecture with separate trading, signal, execution, risk, watchdog, and Telegram modules * Binance Spot API and WebSocket integration * Multi-indicator signal framework including ATR, Bollinger Bands, MFI, VWAP, Fibonacci, FVG and order-book analysis * Independent watchdog with daily loss limits and emergency circuit breakers * Rate-limit management and secure API credential handling * Telegram-based monitoring and mobile controls * Backtesting using historical market data * VPS deployment I would recommend building this in milestones, starting with a stable Demo/Paper Trading version before enabling real funds. One important point: guaranteeing 30 consecutive days with absolutely zero errors depends on external APIs, exchange connectivity, and server infrastructure. I can build robust monitoring, retry, recovery, and logging systems, but realistic acceptance criteria should distinguish application bugs from external service outages. I would be happy to discuss the architecture, milestones, timeline, and realistic testing approach before starting.

@carlosd178

Hello, As a result of a detailed review of your requirements, I understand that you need a production-grade, Spot-only Binance bot—not a basic signal script—with real-time execution, independent risk management, Telegram control, and auditable architecture. I have experience with Python, asynchronous APIs/WebSockets, algorithmic trading architecture, real-time data processing, backtesting, order-book analysis, and risk-management systems, and I'm available to start immediately. In my opinion, the key challenge is execution reliability: synchronizing live signals, IOC orders, partial fills, cooling/DCA state, rate limits, and the independent Watchdog without race conditions or inconsistent balances. I would use Python 3.11+ with modular OOP services for market data, indicators, execution, portfolio state, risk/Watchdog, Binance request queue, Telegram, persistence, and backtesting. Critical profit/cooling and order-state logic would have automated tests, with structured logs and recovery mechanisms for WebSocket/API failures. I am comfortable with an independent code audit, full source-code handover, buyer-owned accounts, and no retained production access. Arbitration/payment handling can follow the agreed platform terms. Two quick questions: • Which Binance region/API environment will be used? • Which coins should be included in the initial 12-month backtests? Best regards, Carlos.

@ianb65

Hi there, Your Binance Spot bot needs reliable live execution, not a demo script, and I can build exactly that in Python with a modular architecture. I have strong expertise in Python and Software Architecture, and I’ll structure the bot with separate modules for WebSockets, signal generation, risk controls, Telegram API control, and test coverage. I’ll implement live market-price entry, IOC limit execution, partial-fill handling, ATR-based profit and cooling logic, and a clean watchdog process for the independent risk layer. Best regards, Ian

@emilesd617

Hi, I am a Python algorithmic trading developer with 8 years of rich experience in software development, with a strong background in automated trading systems, real-time market data, and risk management. I am familiar with Python, Binance API, WebSockets, order books, ATR, VWAP, Fibonacci, FVG, CVD, MFI, Bollinger Bands, backtesting, Telegram API, systemd, API rate limiting, and automated risk controls. For your Spot-only bot, I can build the modular trading engine, independent watchdog, WebSocket market-data layer, IOC execution with partial-fill handling, indicator confluence, DCA/cooling logic, Telegram controls, backtesting, tests, logging, deployment, and disaster-recovery setup. I can discuss my relevant automated trading work and provide verifiable examples privately. I am also comfortable with independent code audit and full source-code handover. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Thanks. Emile.

@Algokage

Hello, I hope you're doing well. I am an experienced Python developer with a strong background in building automated trading bots, particularly for Binance. My expertise lies in creating robust, high-performance trading systems that utilize advanced technical analysis indicators and risk management strategies. I have successfully delivered projects that integrate various trading signals, such as Fibonacci, Fair Value Gaps, CVD, MFI, Bollinger Bands, and Order Book Imbalance, ensuring accurate and profitable trades. I understand the importance of clean code and comprehensive documentation, which is why I deliver well-structured, modular code with detailed docstrings. My approach to development includes a robust testing strategy, ensuring that at least 80% of the profit/cooling calculation logic is covered by unit tests. I am confident in my ability to meet the technical requirements outlined in your project description, including live market-price entry via WebSockets, limit IOC order execution, and partial-fill handling. Thanks, Adegoke M.

@dataspro

Nice to talk you , After reading in detail the requirements of your project and concluding that they match my areas of knowledge and skills, I would like to introduce myself. My name is Anthony Muñoz and I am the lead engineer for DS Pro IT agency. I have worked for over 10 years in Backend and software development and have successfully done multiple jobs. It will be a pleasure to work together to make your project a reality. Please feel free to contact me. I´m looking forward to working with you. I really appreciate your time and remain attentive to any request or question. Greetings

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom

@thomasb726

I have strong experience building modular Python automation systems with WebSocket data streams, exchange APIs, technical-analysis pipelines, order execution, risk controls, Telegram interfaces, and production server deployment. I’ve worked on trading-system components involving real-time market data, indicator-based signal processing, order-book analysis, partial-fill handling, backtesting, automated monitoring, and independent safeguards designed to prevent the trading engine from operating outside defined risk parameters. I’ll build the bot as a modular OOP Python 3.11+ system with separate market-data, signal, execution, risk-watchdog, cooling/DCA, Telegram Mini App, testing, and infrastructure components, using live Binance WebSockets for price data and carefully handling IOC orders, rate limits, partial fills, daily loss limits, coin caps, and emergency conditions. I’ll first deliver the Demo-mode version within the 10-day window, then validate the strategy through historical backtesting and controlled deployment before the required 30-day live-server trial, with encrypted backups, monitoring, disaster-recovery documentation, and the requested code auditability built into the delivery process. The most important part for me is keeping the independent risk watchdog genuinely separate from the trading engine, so a strategy failure cannot simply override the safeguards designed to protect the account.

@prabhathk5

Hi Sir Hope you doing well! 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 I prefer a short 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.

@Georgeoustar

Hi, there! I understand the core requirement is a production-grade Binance Spot bot where execution, WebSocket data, multi-indicator signals, cooling/DCA logic, and an independent risk Watchdog operate reliably with real funds. I’m comfortable with Python 3.11+, Binance APIs, WebSockets, IOC/partial fills, ATR/VWAP/order-book logic, Telegram control, backtesting, rate-limit queues, systemd deployment, testing, logging, and disaster recovery. I would structure the demo first, then validate each safety layer before the 30-day live trial. Best regards, George

@shayankhan333

Watchdog as a fully separate process is the right call here; if it shares the trading engine's event loop, a rate-limit stall freezes the circuit breaker too. I'll build the OOP modules, WebSocket IOC entries with partial-fill handling, ATR-driven targets, and the Telegram Mini App in Arabic, with pytest coverage on the profit and cooling math. I can start straight away. Python trading and automation work: https://www.freelancer.com/u/shayankhan333 1) Is the $15k-per-coin spin-off a new process or a new subaccount? 2) Preferred backtest data source, Binance klines or a third-party feed? Message me and we can lock the plan down. Shayan

@melikatfz

hello, the riskiest line in this spec is the zero stop loss policy, and it is worth arguing about before anyone writes code. a 0.5% target with no stop and three DCA rounds produces a beautiful equity curve for months, because almost every trade wins, and then one coin drops and keeps dropping and a single position eats the accumulated profit of ninety trades. the emergency exception does not fix it either, because it depends on parsing news in real time, which is the least reliable input in the whole system, and by the time a sell wall and a headline both confirm, the move has happened. the second thing to settle is the acceptance term, since it decides whether you ever pay and whether i ever finish. thirty consecutive days with zero errors sounds strict but is undefined. Binance WebSockets disconnect routinely, rate limits get hit, the API returns 5xx. those are normal conditions the bot must handle, not faults. without that distinction written down, the clock resets forever. on the indicators, confluence of six filters on a 0.5% target will mostly produce no trades, which the backtest will show. how do we define an error for the trial, given disconnects are routine? is the zero stop loss rule negotiable? have a nice day.

@rbtech1984

Hello!! Your Binance Spot bot needs real-time WebSocket execution, multi-indicator signal confirmation, strict independent risk controls, and a phone-friendly Arabic Telegram panel, with demo and live validation before final delivery. * Do you already have the exact coins for the first backtest? * Should the demo version use the same strategy logic as live trading? * Is your Hetzner server already available? The solution will use Python 3.11+ with modular OOP architecture, WebSockets, IOC orders, partial-fill handling, ATR profit/cooling logic, Fibonacci/FVG, CVD, MFI, Bollinger Bands, OBI, VWAP, BTC/ETH correlation, anti-spoofing and wash-trading filters. A separate Watchdog, daily loss breaker, rate-limit queue, Telegram Mini App, backtesting, monitoring, backups, and documentation will also be included. Relevant Python trading bots, WebSocket systems, algorithmic trading, Binance API, and backtesting projects have been completed before, with strong focus on execution reliability and risk control. Let us discuss the strategy and demo milestone in chat. Best regards Farhin B