Custom Day Trading Algorithm Development

@Milvetti

Hi, we can help you with your custom stock day-trading algorithm with indicator/fundamental/news criteria and API integration. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@sdqtrades

Drawing on my 10+ years of experience in Trading Software Development, I have honed my skills to create highly-profitable and custom trading tools. My expertise extends to the key areas of your project description - algorithm development, stock market understanding, and day trading strategy. Throughout my career, I have consistently demonstrated an ability to turn ideas into actionable and profitable strategies, often customized to meet specific needs. Be it on platforms like Tradingview, Metatrader or Thinkorswim, I can translate your technical indicators, fundamental analysis and news sentiments into a reliable buy/sell criteria for your day trading strategy. Rest assured that I will approach this project with speed and quality as my core priorities and deliver clean, optimized codes ensuring ease of understanding. Moreover, as an inclusive communicator fluent in English, Spanish, Portuguese, French, German and Italian, I can guarantee that we will stay on the same page throughout the course of this project. As a testament of utmost professionalism and respect for confidentiality,

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With my expertise in **algorithmic trading**, **day trading systems**, **stock market APIs**, **technical indicator logic**, **strategy backtesting**, and **automated buy/sell execution**, I can deliver a solution that aligns perfectly with your goals. I’ll tailor the work to your exact requirements, ensuring clean implementation of your trading rules, reliable integration with the selected broker or market data API, and a structured strategy framework that can incorporate **technical analysis**, **fundamental signals**, or **news sentiment** as needed. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@Aaleen110

Having developed various intraday momentum strategies for US equities, I understand that the success of a custom algorithm hinges on execution precision and risk management. I recently delivered a similar stock bot integrated with the IBKR API, focusing on minimizing slippage through optimized order routing during high-volatility sessions. My goal is to transform your logic into a production-grade system that operates with the discipline a human trader cannot maintain. I prioritize building systems that are not just profitable in backtests, but perform consistently in live environments where latency and liquidity are real variables. I will build the engine in Python, leveraging Pandas for real-time processing and TA-Lib for indicator accuracy. I use a modular architecture separating signal generation from execution, allowing for backtesting against historical tick data before live deployment. I will implement hardcoded risk parameters—including trailing stops, daily loss limits, and volatility-adjusted sizing—to protect your capital. The system will utilize WebSockets for low-latency data ingestion and REST API calls for execution, compatible with platforms like Alpaca or IBKR, ensuring the algorithm reacts instantly to market shifts. To tailor the architecture, are you prioritizing scalping or trend-following logic, and which brokerage API do you intend to use? Additionally, do you require a real-time dashboard for performance monitoring? I’d be happy to chat or jump on a quick call to discuss your specific indicators and refine the logic for maximum efficiency. I am available to start immediately and will provide a clean, well-documented codebase that you can easily manage and scale as your trading needs evolve.

@Algokage

Hello, I can efficiently develop a custom day trading algorithm tailored to your specific requirements, focusing on a day trading strategy for the stock market. My approach involves integrating technical indicators, fundamental analysis, and news sentiment to meet your buy/sell criteria. I’ll ensure seamless integration with trading platforms and APIs. With 5+ years of experience in algorithm development and a strong understanding of stock market dynamics, I’m confident in delivering a robust solution. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@SkillCrafts

Hello! I’ve spent the last four years architecting high-frequency and day-trading algorithms specifically for the US equities market, including several successful deployments on Interactive Brokers and Alpaca. My most recent project involved a volume-weighted average price (VWAP) breakout strategy that optimized entry points by analyzing Level 2 market data, significantly reducing entry slippage for mid-cap stocks. I understand that a custom algorithm isn't just about the entry signal; it’s about the robustness of the execution engine and its ability to handle real-time market volatility without lag or data gaps. To build this out, I will utilize Python as the core language, leveraging the Pandas and TA-Lib libraries for rapid indicator calculation and historical backtesting against 1-minute OHLCV data. The execution layer will be built using asynchronous WebSockets to ensure real-time data ingestion, paired with a robust error-handling framework to manage API rate limits and connection drops. I plan to integrate a modular risk management system that includes hard stop-losses, trailing profit targets, and automated position sizing based on your specific account equity and the Average True Range (ATR) of the asset. Finally, I will provide a clean logging system or a lightweight Streamlit dashboard so you can monitor the bot’s decision-making process and live performance metrics at a glance. Do you already have a preferred brokerage API in mind, or would you like a recommendation based on your required execution speed? Also, are your entry signals based on purely technical indicators, or do you require sentiment analysis from external news feeds? I’m available for a quick message exchange or a brief call to align on the technical requirements and finalize a development roadmap for your MVP.

@jafferrox

Hi, I’ve worked on several stock trading algorithms, focusing on day trading strategies. I specialize in integrating buy/sell signals using technical indicators, such as moving averages, RSI, and MACD, along with fundamental analysis and sentiment analysis from news sources. I’ll ensure the algorithm is efficient and runs seamlessly with your preferred trading platform. For example, in a recent project, I developed a strategy that analyzed market trends to execute real-time trades with minimal risk. Let’s discuss your exact requirements and tailor the approach to fit your needs.

@Shrutibimpl

Hello, I will develop a custom day trading algorithm using a popular programming language to scan the stock market for opportunities in real time. I will build a core execution engine that connects to your preferred broker API for automated order placement. The system will feature a modular logic layer where I can integrate technical indicators, fundamental data, and news sentiment filters as required. I will also include a robust backtesting module to verify the strategy against historical data before going live, ensuring the risk management rules are strictly followed. My approach ensures fast execution and a stable connection to market data feeds throughout the trading session. 1) Which specific stock exchange or region are you targeting for day trading? 2) Do you have a preferred broker with an available API for automation? 3) Which specific technical or fundamental indicators should trigger the buy and sell orders? Thanks, Bharat

@krisk63

Hi there, I’m Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and with over 15 years of experience as a senior full-stack and AI engineer, I have the expertise to deliver this properly. I’m available to start right away and would be happy to discuss the details whenever it’s convenient for you. I look forward to speaking with you. Best regards, Kristopher Kramer

@artakharutyun7

Hello, I have experience developing algorithmic trading systems and data-driven strategies for financial markets. I can build a customizable day trading algorithm that integrates technical indicators, market data, and additional signals such as fundamental metrics or news sentiment, depending on your specific requirements. My approach typically starts with clearly defining entry and exit rules, risk management parameters, and the indicators or signals that will drive trade decisions. I then implement the strategy in a modular way so it can easily connect to trading platform APIs (for example via REST or WebSocket), allowing real-time market data processing and automated order execution. I also focus on backtesting and validation to ensure the strategy performs consistently across historical data before live deployment. This includes performance metrics, drawdown analysis, and parameter optimization to improve reliability in day trading environments. I’d be happy to discuss your specific buy/sell criteria, preferred indicators, and target platform to design a strategy tailored to your goals. Best regards, Artak

@mutahrar

Hello, I am a quantitative trading algorithm developer with extensive experience designing and implementing systematic day trading strategies for global stock markets. Drawing on the latest research in machine learning for financial applications, my approach combines multiple technical indicators with adaptive ML models to generate high-probability trade signals. I have studied implementations that successfully blend RSI, ATR, and SMA indicators with Random Forest classifiers to achieve win rates approaching 60% and reward/risk ratios above 1.8, while recent academic work demonstrates that LSTM networks optimized with differential evolution can outperform traditional methods by up to 98% in volatile market conditions . My development methodology follows a rigorous five-stage process: first, I engineer a comprehensive feature set including momentum indicators, volatility measures, and market microstructure variables normalized through sector-neutral standardization . Second, I implement a machine learning layer using either ensemble methods like Random Forest or deep learning architectures such as LSTM, depending on your specific requirements for prediction horizon and signal frequency

@Ramanov6

⭐⭐⭐⭐⭐Hi, I am a Full Stack Developer with experience in algorithm design and integrating APIs for financial applications. I can develop a day trading algorithm tailored to your buy/sell criteria using technical indicators, fundamental analysis, or news sentiment. Could you clarify which trading platforms or APIs you prefer for execution and data feeds? I will ensure the algorithm is efficient, reliable, and thoroughly tested under realistic market conditions. I can also provide clear documentation and examples of similar projects I’ve built. I am confident I can deliver a precise, high-performing trading algorithm that meets your goals. Best,

@ivank69

Hi there, will the strategy execute fully intraday with fixed entry and exit rules, or should it also include market regime filters like volatility, volume, and session timing? Also, do you already have the exact buy and sell conditions ready, or do you want the algorithm built as a flexible engine where technical indicators, news signals, and risk rules can be adjusted later? This can be built as a clean trading system with signal generation, risk controls, backtesting, and broker or API execution layers separated clearly. The best approach is to turn your strategy rules into a modular engine so entries, exits, filters, and position management can be tested, tuned, and extended safely. A similar challenge came up in a trading automation project where the client had clear market goals but needed the logic translated into reliable execution rules. Another issue was making sure the strategy stayed maintainable while combining indicators, timing filters, and live market data. That was solved by building a structured algorithm pipeline with signal modules, validation rules, backtesting support, and API integration for execution. The result was a more stable strategy workflow, easier tuning, and a cleaner path from idea to live trading system. Several years as a senior software engineer and security auditor also help build reliable and disciplined systems. Ready to start immediately. Best, Ivan

@Microlent

Hello! I read through your requirement and it’s an interesting project. Developing a custom day trading algorithm for the stock market based on specific strategy rules is something I can help with. I’ve worked on systems that analyze technical indicators, market signals, and trading data to generate automated buy and sell decisions. For a project like this, the approach would typically include: • Defining the day trading strategy and rules for entry and exit • Implementing technical indicators and signal processing • Connecting the algorithm to a broker or trading API for market data and order execution • Adding risk management logic such as stop-loss and position sizing • Backtesting the strategy using historical market data • Providing clean, documented code so the strategy can be adjusted later This ensures the algorithm is testable, reliable, and adaptable as your strategy evolves. Quick question: do you plan to run the algorithm with a specific broker API (such as Alpaca, Interactive Brokers, etc.)? Best regards, Jasmin

@jagratip3

Hello, I reviewed your requirement for developing a stock trading algorithm focused on day trading strategies with defined buy/sell criteria based on market indicators and data signals. Building algorithmic trading systems that process market data and execute rule-based strategies is something I’ve worked on in previous fintech and data-driven projects. For your project, I can design a custom trading algorithm that integrates technical indicators, market data feeds, and rule-based decision logic to identify trading opportunities in real time. The system can be built to work with popular trading APIs (such as Alpaca, Interactive Brokers, or similar platforms) depending on your preferred broker. Scope of work: • Development of a day trading algorithm based on your strategy rules • Integration with market data and trading APIs • Implementation of technical indicators / signal conditions • Backtesting support to evaluate performance • Clean, documented code for future adjustments Estimated Timeline: 1 weeks Estimated Budget: $250 Quick question: do you already have a specific trading strategy or indicators in mind (e.g., RSI, MACD, moving averages), or would you like help defining the strategy logic as part of the development? Best Regards, JP

@efanntyo

Hi there Thanks for posting this exciting project. I checked your project carefully, I think I can complete your project within your needed timeline. I am super professional in Algorithm, Trading, Financial Software Development, API Development Please ping , I am always online here Thanks Efanntyo -.

@osamak74

Hello! I understand you are seeking a skilled developer to create a custom stock trading algorithm tailored specifically to your needs. My goal is to deliver a solution that effectively implements your day trading strategy and enhances your trading performance. In my previous role, I developed an automated day trading algorithm for a client, which utilized technical indicators and integrated with a major trading platform via API. This project resulted in a 25% increase in their trading efficiency over three months. Additionally, I created a sentiment analysis tool that evaluated news trends and informed buy/sell criteria, significantly improving decision-making. ✅My Plan - Discuss and finalize your specific trading criteria - Design algorithm architecture based on your requirements - Develop API integrations with relevant trading platforms - Implement buy/sell criteria using chosen indicators - Conduct thorough testing and optimization Could you clarify the specific buy/sell criteria you'd like to focus on? Best regards, Osama Khan

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently completed. In that project, I built a fully automated day‑trading engine using custom technical‑indicator logic, real‑time market data APIs, and risk‑management modules with dynamic position sizing, API‑driven order execution, and backtesting frameworks. For your stock‑focused day‑trading algorithm, I can tailor precise buy/sell criteria, integrate technical and fundamental signals, and ensure the workflow is optimized for speed and reliability. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar

@ZeeCreatives

Hi, I understand you need a custom day trading algorithm tailored to your specific stock market strategy. With my strong background in algorithm development and deep understanding of stock market dynamics, I am confident I can create a robust and efficient solution that integrates your desired buy/sell criteria, whether they are based on technical indicators, fundamental analysis, or news sentiment. I have successfully developed several trading algorithms that interact seamlessly with various trading platforms and APIs, ensuring real-time decision-making aligned with your strategy. My approach begins with detailed requirement gathering, followed by iterative development and testing phases to ensure accuracy and performance under live market conditions. Please check out my portfolio: https://www.freelancer.ca/u/ZeeCreatives I look forward to discussing your specific criteria to start crafting your trading algorithm. Best regards, Zainab