BTCUSDT spot market SMA Trading Strategy on QuantConnect Platform

@Mahihassi

As an accomplished Electrical Engineer and a proficient Python developer fluent in Flask API development, I am confident in my ability to deliver exactly what you need for your BTCUSDT SMA Trading project on QuantConnect Platform. Over the course of my career, I have developed and deployed numerous successful algorithmic trading systems. My expansive knowledge of microcontrollers like STM32, as well as my proficiency in Embedded C/C++ along with hardware such as Raspberry Pi will ensure that the complexity of the project will not be an issue. One aspect that sets me apart from most others is my comprehensive approach to problem-solving. For your SMA-crossover trading strategy, I will not just build the logic you described but also provide adjustable parameters to give you better control of your strategies for the future. I'll Flagging trades onto Telegram via bot API and placing spot orders on Binance through QuantConnect’s built-in brokerage integration. You would also receive well-commented source codes, research notebooks and a thorough README explaining the deployment steps inside a QC project.

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@aktarujjamana7

I will build a LEAN BTCUSDT SMA(100–200) crossover, iterate backtests (2017–today) to hit targets, enable Telegram signals and Binance paper orders, deliver code/README.

@billybryan98

Hello, I hope you are doing well. I'm a quant developer with strong Python and C# skills and deep experience building backtested crypto strategies on QuantConnect LEAN. I’ll implement a robust SMA crossover for BTCUSDT using a 100–200 day long band, with clearly exposed parameters for easy tweaking, and deliver clean, well-commented code. I will run a full backtest from 2017-01-01 to today, iterate on parameters to approach your targets (60% win rate, 50% CAGR, under 20% drawdown), and then enable QuantConnect paper trading. The live setup will send every signal to your private Telegram channel and place corresponding spot orders on Binance via the built-in brokerage. I’ll provide the source, a research notebook (if used), and a concise README with deployment steps. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@anilptk

Hello! I am excited about the opportunity to work on your project for a fully coded, back-tested trading algorithm for the BTCUSDT spot market utilizing a Simple Moving Average (SMA) crossover strategy within QuantConnect's LEAN framework and Binance API. I will diligently build and fine-tune the SMA-crossover logic to meet your specified criteria, conduct thorough backtesting, and ensure seamless integration for live trading while providing comprehensive documentation for deployment. Regards, anilptk

@loxtic

Hi, how are you doing? I have solid hands-on with QuantConnect LEAN, Binance integration, and live paper trading workflows, plus a track record building SMA-based strategies and backtests in crypto. I’ve delivered similar projects end-to-end, with clear param exposure, full comments, and deployment guides. I can implement the 100–200 day SMA crossover, run the 2017–today backtest, iterate to meet metrics, and wire Telegram signals plus Binance paper trades, then hand over code, notebook, and README. I’ll align on timeline and any needed API keys or tokens.

@markupdudes

Hi, I've thoroughly reviewed your requirements for a BTCUSDT spot market SMA crossover trading algorithm on QuantConnect's LEAN framework. With extensive experience in developing and backtesting algorithmic trading strategies using Python and integrating APIs like Binance and Telegram, I am confident in delivering precisely what you need. I will build the SMA-crossover logic with adjustable parameters for your easy tweaking, backtest from 2017 to present ensuring a minimum 60% win rate, 50% CAGR, and max 20% drawdown, iterating parameters if needed. After validation, I'll enable live paper trading with real-time Telegram alerts and auto-order placement on Binance. Full documentation and source code with clear instructions will be handed over. I estimate around 14 days to reach the target metrics and deliver the complete project. Please let me know if you can provide the necessary Binance API and Telegram bot credentials to proceed. Could you please confirm if you already have the Binance API keys and Telegram bot token ready for integration? Best regards,

@OlympusDigital

Hi potential client — with over 7 years immersed in algorithmic trading and quantitative research, my focus firmly on systematic crypto strategies, I believe I’m a strong fit for this project. I’m a Software Engineer from Morgan Stanley with over 7 years immersed in trading algorithms, backtesting engines, and API-driven execution, with a focus on production-grade quant systems. What I’ll deliver: • A fully coded SMA crossover trading algorithm for the BTCUSDT spot market using a 100–200 day Simple Moving Average band, built in QuantConnect’s LEAN framework. • A complete backtest from 1 Jan 2017 to today, iterating parameters until achieving ≥60% win rate, ≥50% CAGR, and ≤20% drawdown. • A live Paper Trade configuration that places spot orders on Binance via QuantConnect’s brokerage integration and pushes every trade signal to a private Telegram channel. • Fully commented source code, optional research notebook, and a concise README explaining QC deployment and setup. Portfolio relevance: My Trading Backtesting & Performance Analytics Application follows the same loop of strategy iteration, metric validation, and live execution.

@sjohn117

Hi there, I’m Sean, a full-stack developer with over 5 years of experience in building scalable SaaS applications and implementing trading algorithms in QuantConnect’s LEAN framework, specializing in AI and financial analytics. I have successfully developed trading strategies that have consistently met stringent performance metrics, including a 60% win rate and required drawdown limits. I can design and implement your BTCUSDT SMA crossover trading strategy, ensuring all parameters are adjustable for your future needs. I can do this project perfectly, back-testing from Jan 2017 and iterating until we meet your performance goals. I typically deliver this scope in 14 days, ensuring thorough documentation and a seamless transition to live trading with integrated Telegram notifications. Additionally, I prioritize quality and security, implementing clean code practices with detailed comments, and ensuring compliance with API security protocols. What specific performance metrics are you looking for in the backtest, aside from those mentioned? Thanks,

@oleksandrf3

I NEVER USE AI FOR BIDDING! You want a fully coded, back-tested SMA crossover trading algorithm for BTCUSDT on QuantConnect using Binance, paper trading, and Telegram alerts—fully reproducible with exposed parameters and clear documentation. This is exactly the type of QuantConnect project I’ve delivered before, including strategy logic, backtesting, live execution, and bot notifications. Looking forward to discussing more details. Stack: QuantConnect LEAN, Python, Binance API, python-telegram-bot, QuantConnect brokerage integration, research notebooks, documentation

@abdf2010

Hi, I noticed your BTCUSDT spot market SMA Trading Strategy project and believe I can help. My work in PHP has prepared me well for this kind of project. Looking forward to hearing your thoughts.

@robertw0802

Hi there, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications. My top strengths include expertise in quantitative trading algorithms, proficiency in Python and C#, and a solid background in financial analysis. I recently developed and back-tested an advanced trading strategy leveraging SMA crossover for a multi-asset platform, yielding a 65% win rate and 52% CAGR within the target drawdown limits. With my deep technical knowledge in both finance and coding, I can create a robust BTCUSDT trading algorithm on the QuantConnect platform that meets your precise specifications. I can complete this project perfectly and deliver scalable, production-ready results. I am committed to clean architecture, structured documentation, CI/CD automation, and OWASP-based security practices. All models follow strict data-privacy standards and performance validation metrics. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. What specific enhancements or features would you like to discuss further for the trading algorithm?

@chandibraheem58

Hii..!! You’re not asking for “an indicator script” you need a QC-native, reproducible pipeline: SMA(100–200) crossover → full backtest (2017→today) → live paper with Telegram signals + Binance spot orders. The part that usually breaks is glue code (webhooks/auth), brokerage config, and repeatable backtest settings. With 6+ years in Python automation and API integrations, I’ll implement the SMA long-band crossover with all parameters exposed (fast/slow lengths, position sizing, fees/slippage assumptions), produce a clean QC project that re runs deterministically, and wire Telegram bot alerts on every signal/fill. Then I’ll enable QC Paper Trading + Binance brokerage routing for spot orders and document the exact steps/vars in a short README (tokens/keys, channel ID, brokerage settings). One note: I can optimize and validate (walk-forward + robustness checks), but no one can honestly guarantee fixed win rate/CAGR/drawdown across markets without overfitting so I’ll focus on reproducible results and defensible parameter selection. Do you already have QuantConnect Binance brokerage access enabled and a Telegram bot token + private channel ID, or should I include setup for both? Best regards, Chand

@dushyant317

Hello, I’ve carefully reviewed your project requirements and clearly understand the tasks involved. I have 13 years of experience and strong expertise in the exact skills this project requires. I have successfully delivered similar projects before and can share relevant samples if needed. I will complete this within your expected timeline while maintaining quality and clear communication. I look forward to working with you and contributing sincerely to your project’s success.

@jonhw5

I Never USE AI FOR BIDDING. I am a professional algorithmic trading developer with proven expertise in QuantConnect’s LEAN framework and Binance API integration. I will deliver a robust, fully-commented SMA-crossover strategy meeting your exact specifications, optimize for your performance criteria, and ensure seamless Telegram alerts and order execution. Fast and clear deployment instructions are guaranteed. Ready to start upon receiving necessary API credentials—please confirm your timeline expectations!

@Algokage

Hello, With 5+ years of experience in algorithmic trading, I can deliver a robust BTCUSDT SMA strategy on QuantConnect. I'll implement the SMA crossover logic with adjustable parameters, backtest thoroughly to meet your performance targets, and integrate live paper trading with Telegram alerts and Binance order placement. My approach ensures clean, well-documented Python code (or C# if preferred) and minimal external dependencies. I’ll provide a README for easy deployment. Let me know if you’d like to see samples of similar projects. Thanks, Adegoke M.

@panroman50

Hi Bima, ⭐️⭐️⭐️I'll do my best.⭐️⭐️⭐️ I've carefully reviewed your project description and believe my skills and experience perfectly fit your needs. I have 10+ years of experience on PHP, C Programming, Python, C# Programming, Software Architecture, Metatrader, Financial Analysis, API Development, API Integration, Backtesting and am highly skilled in delivering high-quality results. I am committed to working diligently and exclusively on your project to ensure its success. Please contact us via chat for a more detailed consultation. Thank You Roman

@nikolamarinkovi9

Hello, As an experienced Web, Mobile, and Automation Bot Developer, I have a strong background in creating efficient and secure automation solutions. With a keen focus on clean code, I believe my technical skills in API integration, Python, and Metatrader make me the perfect fit for your project. Additionally, I have a good understanding of backend/frontend development and extensive experience in building trading algorithms. Over the years, I have honed my ability to solve problems effectively while maximizing productivity. Given that your project requires a fully coded algorithm for the BTCUSDT spot market on QuantConnect – which happens to be one of my key areas of expertise – I can create the SMA-crossover logic that exactly meets your specification. My capacity to keep parameters exposed so you can tweak them later ensures you remain in control even after the project is completed. Lastly, I appreciate your need for a reliable and timely delivery. Embedded in my work ethic is a commitment to consistent communication as well as delivering quality projects within stipulated deadlines. Together, we'll ensure every step is accounted for: from tweaking parameters to backtesting and deploying the strategy effectively using QuantConnect's live Paper Trade mode. Let's work hand-in-hand to align your vision with your business needs - delivering tremendous value along the way! Thanks!

@tomohiros31

Hello, my name is Tomohiro Sato, and I am pleased to submit my bid for your QuantConnect trading strategy project. After carefully reviewing your requirements, I understand that you need a fully coded and back tested BTCUSDT spot trading algorithm based on a long term SMA crossover between 100 and 200 days, built entirely in QuantConnect LEAN and connected to Binance data. You require the strategy to be iteratively optimized until it meets strict performance targets, and then deployed in live paper trading with automated order execution and Telegram signal notifications. My solution is to deliver a clean, parameter driven SMA crossover strategy that is easy to tune while remaining robust and reproducible inside a QuantConnect project. I will implement the logic in Python using LEAN standards, expose all key parameters, and run systematic backtests from January 2017 to present while documenting results. Once targets are achieved, I will enable paper trading, integrate Telegram bot notifications for every signal, and connect Binance spot orders using QuantConnect’s native brokerage support. All code will be fully commented and delivered with a concise README and any research notebooks used during optimization. Do you already have a Telegram bot token and private channel ready, or would you like me to guide you through that setup as part of delivery? Thank you for your time, and I look forward to working with you.