Stock Day-Trading Algo Development -- 2

@deepak7737

Hey I can develop your pine script and python indicator or strategy as you can see I have proven experience and and I am professional traders since 11 years so I can understand all your requirements Let me know when we can speak

@loxtic

Hi, how are you doing? I’ve built several automated trading tools for US equities, hooking up real-time data, broker APIs, risk controls, and full back-tests with clear logs and switchable simulation/live modes. I can deliver clean, documented code, configurable indicators, performance reports, and a quick-start guide to go from paper to live trading. I can demo previous projects if needed. Let me know more details to align on the API and data feed.

@prashanpatel557

Hello, I can convert your stock day-trading rules into a fully automated, production-ready algorithm focused strictly on U.S. equities. I have hands-on experience building real-time trading systems using technical indicators such as MA crossovers, RSI, and volume-based filters, with end-to-end automation. How I’ll approach this • Translate your written rules into precise, non-ambiguous trading logic • Build clean, modular Python code (pandas, NumPy, TA-Lib / Backtrader) • Real-time market scanning with broker/data-feed integration • Automated order execution, stop-loss, take-profit, and EOD square-off • Robust logging, error handling, and paper/live mode toggle Deliverables • Fully commented source code • Configurable parameters (indicators, risk, position sizing) • Back-test report with trade logs, P&L, drawdown, win rate • Simple guide to switch from paper trading to live execution Why me • Proven experience in intraday stock algos • Strong focus on reliability, execution accuracy, and transparency • Clean code you can extend or modify later I’m happy to start with a quick rule walkthrough and deliver an initial back-test before final deployment.

@Algokage

Hello, With 5+ years of experience in algorithmic trading, I can help bring your day-trading strategy to life. I'll translate your rules into clean, well-documented code, integrating a live equities data feed and broker API. My approach involves modular design for easy parameter adjustments and a robust back-testing framework. I'll ensure seamless toggling between simulation and live trading. Please send a message for samples of similar projects. Thanks, Adegoke. M

@Rsolitario

To automate your day-trading strategy for US stocks, the priority should be the accuracy of signal execution (moving line crossovers, RSI, volume) and the absolute guarantee that the algorithm closes all positions before the closing bell. I will develop a robust script, likely in Python, that scans the market in real time and executes your rules, autonomously managing stops and position size. The code will be modular, allowing you to adjust indicator parameters and thresholds from a simple configuration file without any programming. I will deliver a system with a clear "switch" between simulation mode (paper trading) and live execution, accompanied by a comprehensive backtesting report to validate historical performance before risking real capital. I have experience integrating APIs from financial brokers (such as Alpaca, Interactive Brokers, and TD Ameritrade) and creating detailed logs for auditing trades. I estimate a two-week timeframe to have the algorithm tested and documented. Which broker are you currently using to confirm your API compatibility?

@targaryen007

Here’s a **clean, professional Freelancer bid** under 1500 characters, aligned to the project and positioning you as serious and reliable (not a hobbyist): --- Hello, I can help you convert your **rule-based day trading strategy into a fully automated, production-ready trading algorithm** using strictly technical indicators. I have hands-on experience building **indicator-driven trading systems** using moving average crossovers, RSI thresholds, volume confirmation, and time-based exits. My approach is deterministic and transparent — your rules stay in control, and the system executes them exactly as defined. **What I’ll deliver:** * Clean, well-documented Python code implementing your strategy * Modular indicator logic (MA, RSI, volume) with configurable parameters * Real-time market scanning for U.S. equities * Broker API integration for paper + live trading (toggle-ready) * Robust risk management (position sizing, stop-loss, EOD exits) * Detailed back-test with trade logs, metrics (PnL, win rate, drawdown) * Clear guide to switch from simulation to live execution The script will be able to: * Run unattended during market hours * Log every trade and decision * Exit all positions before market close * Switch seamlessly between paper and live mode I focus on **reliability, clarity, and maintainability**, not black-box behavior. Happy to review your exact rules and broker API before starting. Looking forward to building this with you. Best regards, Amit

@prajwalkv1235

Hello, I can help you translate your day-trading rules into a fully automated, production-ready trading algorithm built around technical indicators such as moving averages, RSI, and volume analysis. I have experience designing rule-based trading systems in Python that operate in real time, manage risk, and execute trades via broker APIs. My approach emphasizes reliability, transparency, and clean separation between strategy logic, execution, and configuration. I will implement your strategy with configurable parameters for indicators, thresholds, position sizing, and risk controls. The system will support real-time market scanning, order execution, stop-loss management, and mandatory end-of-day exits, strictly for U.S. equities. The solution will integrate with a live market data feed and your broker’s API, with a clear toggle between paper trading and live execution. All trades, signals, and errors will be fully logged for auditability. Before live deployment, I will run a comprehensive back-test using historical data and provide performance metrics, equity curves, and detailed trade logs. Deliverables will include well-documented source code, a back-test report, and a concise guide explaining how to switch from simulation to live trading. The final system will be able to run unattended during market hours with minimal operational overhead. Best regards, Prajwal

@Anshenw

I am a perfect fit for your project to develop a clean, professional, and fully automated day-trading algorithm focused on U.S. stocks. Your need for a seamless, integrated system that uses moving-average crossovers, RSI levels, and volume shifts and executes real-time market scans and automated orders is clear. I offer strong expertise in algorithmic trading development, API integrations, and creating user-friendly, configurable systems. While I am new to Freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Anshen Williams

@bhartimalu

Hello, I have experience developing stock intraday trading algorithms, including strategy logic, indicator-based signals, risk management, and API-based order execution. I can build a reliable, rule-based day trading algo with proper testing and logging. Happy to discuss the strategy details and proceed via milestones. Regards, Bharti M