Python Algorithmic Crypto-Trading Automation

@leadconcept

Greetings, We can implement your Sweep-and-Reclaim crypto trading strategy exactly as defined in your playbook, delivering a full Python automation with backtesting, Bybit testnet/live execution, and a visual plotting interface. The system will include a structured config file for adjustable variables, ensuring you can tweak symbols, timeframes, risk, and entry/exit parameters without editing code. A few quick clarifications, 1. Which data source do you prefer for historical backtesting CSV downloads or CCXT/API feeds, 2. Do you want the plotting interface interactive (zoomable/hoverable) via Plotly, or static charts for quick validation, 3. Should logging include detailed trade execution and errors in real time for live mode, or only summary outputs? Our team has strong Python expertise, experience building backtesting engines, and integrating trading bots with Bybit APIs. We deliver clean, well-documented code, mechanical execution without discretion, accurate backtesting metrics (win rate, RR distribution, drawdown, PnL curves), and a Plotly-based charting interface for verification. Let us chat so we can review your playbook and propose milestones for testnet and live deployment, the bid amount is a placeholder to submit. Regards Yasir LEADconcept PS: We can share two or three trading bot implementations we delivered, with our exact role on each, on request.

@LiveExperts

Hello, At Live Experts, we don't just bring a plethora of skills and expertise to the table—we bring with us a demonstrated ability to take on challenging algorithmic tasks with unwavering precision. Having successfully delivered numerous trading-based projects before, including backtesting engines, live trading platforms, and config files for adjustable settings—a project of this magnitude and complexity is *perfect* for our team. With a detailed strategy playbook provided, I'll focus on implementing your mechanical Crypto-Trading strategy to the dot. From External/Internal structure alignment to Liquidity sweep detection, my aim is to ensure seamless execution and apply every rule precisely as defined in your playbook. By leveraging not only my strong Python proficiency but also my experience in data analysis and visualization, I'll build you an informative Plotly-based plotting interface for an easy and accurate understanding of your bot's performance. It's important to emphasize that in addition to being technically skilled in Python and Risk Management—my capability expands beyond codes. I hold effective communication as one of my core values and this has always translated into clean code structures and clear project progress updates. In line with your requirements, I can promise you not only backtest-ready code but also live-ready one. So say no more—let's get this transformative project underway towards realizing your trading strategy goals Thanks!

@ZohaibRoy

⭐⭐⭐⭐⭐ Automate Your Crypto Trading Strategy with Python Expertise ❇️ Hi My Friend, I hope you are doing well. I've looked at your project needs and see you are looking for an experienced Python algo developer to automate your Sweep-and-Reclaim trading strategy. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects involving trading strategies. I will build a full Python implementation, a backtesting engine, and a Bybit trading module, ensuring all rules are followed precisely. ➡️ Why Me? I can easily implement your trading strategy as I have 5 years of experience in Python automation, specializing in trading bots and backtesting. My skills include data analysis, API integration, and visual plotting. I also have a strong grip on relevant technologies, ensuring a smooth execution of your project. ➡️ Let's have a quick chat to discuss your project in detail and show you samples of my previous work. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Algorithm Development ✅ Trading Strategy Automation ✅ Backtesting Engine Creation ✅ Bybit API Integration ✅ Data Visualization ✅ YAML/JSON Configurations ✅ Error Handling ✅ Data Analysis ✅ Script Optimization ✅ Performance Monitoring ✅ Communication Skills Waiting for your response! Best Regards, Zohaib

@irsolutions

With over 10 years of experience in web and mobile development, specializing in Python algorithmic crypto-trading automation, I understand the need for precise implementation of your mechanical Sweep-and-Reclaim trading strategy. By leveraging my expertise in Python, backtesting engines, trading bots, and visual plotting interfaces, I am well-equipped to meet the core requirements of your project. Having worked on similar projects in the FinTech space, I have a proven track record of implementing complex trading strategies and delivering successful outcomes. My experience with backtesting engines ensures accuracy and efficiency, while my familiarity with liquidity-based trading will be advantageous in executing your strategy seamlessly. I am confident in my ability to meet your developer requirements, providing you with clean, well-structured code and clear communication throughout the project. I am ready to collaborate with you closely, leveraging my skills and expertise to bring your vision to life. If you are ready to take your crypto-trading automation to the next level, I am here to make it happen. Feel free to reach out to me to discuss your project in more detail and take the next steps towards achieving your goals.

@diektech

Hi — Elias from Miami. I read your brief and this is exactly the kind of mechanical, rules-first job I enjoy. I’ll implement your Sweep-and-Reclaim playbook verbatim in Python, deliver a backtester that uses identical logic, wire it to Bybit testnet → live (market/limit, SL/TP, partial fills), and add a quick Plotly visualizer to audit entries/exits. Config will be a tidy YAML/JSON so you can tweak TFs, filters, risk %, session windows, etc., without touching code. Project-specific questions: Q1: Can you confirm the exact CSV schema or CCXT symbols/timeframe you’ll provide for backtests? Q2: Any max slippage / latency tolerances or order-size limits I must enforce for safety on live? Q3: Do you want paper-trading-only safety mode persistently enabled until you flip a live flag, or a switch per-run? Q4: Preferred output format for backtest reports (notebook, HTML, CSV) and do you want automated daily/cron runs? If that matches, I’ll prepare a short scope doc and a minimal-cost spike: implement core rules + a single-day plot from your sample data so you can verify fidelity. Regards, Elias.

@Herculesz

Hi I’ve built several fully-mechanical Python trading bots for crypto, and I can help you turn your Sweep-and-Reclaim playbook into strict, non-discretionary code. The biggest technical challenge here is keeping the backtesting engine and live trading module perfectly in sync, so I’ll architect a single shared strategy core that both the simulator and Bybit executor call into. I work heavily with Python, CCXT/REST/WebSocket feeds, Bybit testnet/live APIs, and risk engines, so order routing, partial fills, SL/TP, and error handling will be robust and fully logged. Your external/internal structure, iBOS, liquidity sweeps, reclaim candle rules, and momentum filters will be translated into clear, testable functions with unit tests around edge cases. For analysis, I’ll build a Plotly-based visualizer that overlays candles, sweep levels, entries/exits, SL/TP, and sessions so you can confirm the bot matches your examples bar-for-bar. Config-driven YAML/JSON settings will let you adjust symbols, timeframes, sessions, thresholds, and risk without touching the code. I’ll keep the repo organized with a clean module layout, docstrings, and commit messages that make it easy for you to audit every assumption and extend the system later. Thanks, Hercules

@nikhilgarg96

Hi, With over 10 years of experience as a Python developer specializing in automation, I'm confident in my ability to not only meet but exceed your expectations for this crypto-trading project. I've developed multiple trading bots and backtesting engines, emphasizing on mechanical execution to maximize efficiency and consistency - a key component of your project. My experience goes beyond the implementation of strategies, extending to testing and integration with different cryptocurrency exchanges, including Bybit - testnet and live mode. I’m familiar with market/limit entries, stop loss management, handling partial fills & order errors, as well as logging all signals and trades which ensures you have a detailed record of every transaction. I will also create a visual plotting interface using Plotly that enhances your overall interaction with the bot. This interface will provide you with insightful charting features accompanied by accurate sweep levels, reclaim candles, structure lines etc., aiding in decision-making process. As a seasoned developer my communication skills are clear and concise ensuring we're always on the same page. My commitment to delivering clean, modular code extends to both my backtesting engine and live-trading code- where precise data generation is ensured for accurate winrate calculations, drawdown analysis, RR distribution details etc., necessary for optimizing such a strategy. Thanks.....

@djsmoothy

Hi there, my name is Tayo. I can turn your fully defined Sweep-and-Reclaim playbook into a clean, mechanical Python system with matching backtest and live-trading logic, Bybit integration, and a Plotly visual layer to verify every signal. I’ll build a clear config file, handle SL/TP, partial fills, and logging, and make sure the backtester mirrors live execution exactly so results stay consistent and trustworthy. Once done, you’ll have a ready-to-run bot with readable code, charts, and adjustable settings.

@sdqtrades

As an experienced trading software developer with a heavy focus on automating profitable strategies, I am excited to take on your project. My decade-long proficiency in Python and the trading industry makes me well-versed with key aspects of your task including backtesting engine development, integrating strategies, setting up Bybit testnet/live trading modules, and fitting in clear configurations to make future tweaks easy. My skills extend across the experience that matches your Core Requirements: Python Strategy Automation, Backtesting Engine development, Bybit Integration, Visual Plotting Interface creation and correct application of Config Files. These align perfectly with the tasks you've outlined in your project description. Throughout my career, I’ve been known for creating clean, clear code and for my excellent communication skills. I assure you that not only will I bring these qualities to the development process along with strong problem-solving abilities but I also ensure fast yet high-quality work delivery. With my dedication, I will turn your existing strategy playbook into an unbeatable crypto-trading automation system that adheres strictly to the rules without discretion but remains resilient and adaptive enough to improve with time.

@PINESCRIPTERR

Hi there, I’ve successfully built Python trading bots and backtesting engines before and can share examples directly in chat. I will deliver a system that: 1. Implements your Sweep‑and‑Reclaim strategy exactly as defined in the playbook 2. Provides a backtesting engine using the same live‑trading logic for accurate results 3. Integrates with Bybit testnet and live mode for order execution and logging 4. Includes a Plotly‑based visual interface to verify entries, exits, and key structures 5. Offers a structured YAML/JSON config file for easy adjustments without editing source code Please feel free to reach out so we can discuss price and timeline. Best regards, Houssame

@JustinJcob

I understand your pain of needing to automate a mechanical Sweep-and-Reclaim trading strategy for crypto, and I'm here to help. With my expertise in Python algo development, I can deliver a full Python implementation of the strategy, a backtesting engine, a Bybit testnet/live trading module, a visual plotting interface, and a config file with adjustable variables. Rest assured, I will implement the rules exactly as defined in your strategy playbook, ensuring quality and timely delivery. Let's connect for further discussion and to review my past work samples. I am looking forward to collaborating with you. Kind regards, Haroon Z .

@jushuamurillo98

Hi, I’ve carefully reviewed your detailed project on automating your crypto trading strategy with Python. With extensive experience developing algorithmic trading bots and robust backtesting engines, I am confident in accurately translating your strategy playbook into a reliable, efficient system. I ensure precise adherence to your rules while incorporating a user-friendly configuration setup, backtest and live trading modules, and clear visualizations for verification. My recent work involved creating a similar liquidity-based trading bot, achieving consistent backtest results and smooth live deployment with comprehensive logging and error handling. I am ready to utilize your provided playbook, develop the entire automation pipeline, and deliver a ready-to-use solution within your timeline. Let’s discuss your preferred start date and next steps.

@quan9824

As a seasoned Python developer with a focus on algorithmic trading, I believe I possess the exact expertise required for your crypto-trading automation project. Over the years, I've honed my skills to consistently deliver high-quality results with distinctive problem-solving techniques. My extensive knowledge in structure-based and liquidity-based trading will prove beneficial in understanding and accurately implementing the logic from your strategy playbook. In terms of backtesting, I have a proven track record adept at running intricate strategies on historical data to provide insightful metrics such as winrate, RR distribution, drawdown, and PnL curve. Additionally, if deemed necessary, I can give you the convenience of visualizing these complex data curves through Chartify, serving as a visual summary of the bot's performance. Lastly but importantly, the ability to construct a structured YAML/JSON config file is key to allowing you to tweak various parameters of your strategy without altering source code. With me as your Python developer, expect clean code structures that facilitate future modifications while strictly aligning with best coding practicesículos

@juanjosec63

Hello, I can help you turn your Sweep-and-Reclaim playbook into a fully mechanical Python system with matching backtest and live execution on Bybit. I’ve built structure/liquidity-based algos before using CCXT/Bybit APIs, with a shared core engine for both historical simulation and live trading, so the logic for external/internal structure, sweeps, reclaim candles, momentum filters, and swing-based SL/TP will be implemented exactly as specified, not interpreted. I’ll set this up with a clean modular architecture (strategy core, backtester, Bybit execution, and Plotly visualization) plus a YAML/JSON config so you can adjust symbols, timeframes, sessions, risk and all rule thresholds without touching the code. Once your playbook and examples are shared, I can walk you through the design, implement the backtester first to validate signals visually, then plug in Bybit testnet for end-to-end trade flow before switching to live keys.

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience building automated trading bots in Python, especially for crypto markets. I can deliver a solid, well-structured solution within your timeline and budget, ensuring reliable performance from backtesting to live trading. I’ve developed Python trading strategies that follow strict rules and have integrated them with exchanges like Bybit using their APIs. I also have experience creating backtesting engines and visualization tools with Plotly to verify strategy performance and entries/exits. This project will automate your existing rules exactly as written, removing manual effort and reducing errors. It will also provide detailed backtesting metrics and real-time trading on Bybit, making your strategy more efficient and easier to manage. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@BeshoyMousaKhair

hello there, i am a senior software engineer and i can do this task as required with very high quality, and on time. regards,

@trm66614

Hi there,Good evening I am Talha. I have read you project details i saw you need help with Python, Backtesting, Software Architecture, Financial APIs, Automation, Risk Management, Data Visualization, Market Analysis, Data Analysis and Algorithm Analysis I am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@jmvdesignsohio

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@Azursol

I have extensive experience in Python, Automation, and Financial APIs, making me the ideal candidate for your Python Algorithmic Crypto-Trading Automation project. I specialize in implementing predefined strategies with precision and have a proven track record in developing trading bots and backtesting engines. I will ensure the seamless integration of the strategy playbook into the Python code, create a robust backtesting engine, and set up Bybit testnet/live trading modules. Additionally, I will provide a visual plotting interface for easy verification of entries/exits and a configurable file for adjustable settings. My expertise in market analysis and automation align perfectly with your project requirements. Let's collaborate to turn your vision into a successful reality. Check out my portfolio for similar successful projects. Looking forward to discussing this opportunity further.