Stock Day-Trading Bot Build

@worksoft

Hi, I can develop algorithmic bot for your strategy & can also deploy & maintain it. Let's connect to discuss further. Thank you.

@vishal1145

Your biggest risk isn't the code - it's slippage. If your bot takes more than 50ms to process a signal and fire an order, you'll lose 2-3 cents per share on every trade. At 100 trades per day, that's $200-300 in invisible losses that will kill your edge before you even factor in commissions. Before I architect this, I need clarity on two things: What's your average holding period - are we talking 30-second scalps or 2-hour momentum plays? And what's your expected trade frequency - 10 executions per day or 500? The infrastructure changes completely depending on whether you need WebSocket streaming or if REST polling is acceptable. Here's the execution plan: - INTERACTIVE BROKERS API: Implement TWS Gateway with IB-insync for sub-100ms order routing, including bracket orders that auto-attach stop-loss and profit targets to prevent manual intervention during volatile moves. - PANDAS + NUMPY: Build a vectorized signal engine that processes 1-minute OHLCV bars in under 10ms, avoiding the loop-based calculations that cause most retail bots to lag 2-3 bars behind the market. - RISK MANAGEMENT LAYER: Hard-code position sizing based on ATR volatility, max 2% account risk per trade, and circuit breakers that halt trading if daily drawdown exceeds your threshold - because one runaway loss will wipe out 20 winning days. - BACKTEST VALIDATION: Run walk-forward analysis on 6 months of tick data to prove the strategy doesn't just work on cherry-picked dates, then stress-test it against the August 2023 volatility spike to see if your stops actually protect you. I've built 4 production trading systems for prop desks and retail clients - one handled 300+ intraday trades per day with 99.8% fill accuracy. I don't take on projects where the strategy logic is still being figured out. Let's schedule a 15-minute call to walk through your rules and confirm the data feed won't bottleneck execution.

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@prashanpatel557

Hello, I can build your intraday stock trading bot with fast execution, clean logic, and strong risk control. Approach: • Python-based engine (Pandas, TA-Lib) • Broker: Alpaca / IBKR (your choice) • WebSocket/live feed → signal → execution pipeline Core Features: • Real-time data processing + intraday signals • Auto order execution (market/limit) • Configurable strategy (rules, timeframe, symbols) Risk Management: • Position sizing per trade • SL/TP + trailing logic • Max drawdown + daily stop System Design: • Modular (easy to extend) • Logging (trades, signals, errors) • Stable execution + retry handling Deliverables: • Full Python bot (well-commented) • Setup & deployment guide • Backtest/demo report Timeline: 10–12 days I have experience with trading bots, APIs, and automation systems, ensuring practical and reliable performance. Question: Which broker do you prefer for this, Zirodha, Upstox, Alpaca or Interactive Brokers?

@Algokage

Hello, I can deliver a reliable algorithmic bot for your intraday stock trading strategy, focusing on low-latency data handling, robust risk management, and accurate order execution using Python and libraries like Pandas, NumPy, and TA-Lib. I’ll integrate with Interactive Brokers or Alpaca, ensuring rapid development and clear communication. The package will include clean, well-commented source code, a setup guide, and a backtest report. With 5+ years of experience in similar projects, I’m confident in delivering efficiently. Send a message to see samples of my work or discuss further. Thanks, Adegoke. M

@loxtic

Hello, i have considerable experience with automated trading , algo development and paper trading bots on multiple Indian brokers, including zerodha, Angelone, Kotak, Dhan, etc.. as well as American brokers. Can demo previous work if needed. Let me know further if interested

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel I can deliver any project in Trading. Readymade setups for Python available

@ModernTechno442

Hello Greetings Of The Day We are Great fit because we are working in IT industry since 8 Years we have Experienced and quality developers in our Team and We are serving and making our clients happy and satisfied since last 8+ years with our outstanding performance in the fields of Website Development, Mobile App Development (Android, iOS, Desktop), CRM/ERP Development, AI ML, UX/UI Design, Games, Digital Marketing and Blockchain. Working Tech is PHP, Node, JS , Flutter , HTML, React, python, Unity and Many more. We also work over the similar projects posted by you so please open the communication by responding, so that we can provide you all demo details. I hope we get a positive reply from your side and we are eagerly waiting to work with you.

@PyMLExpert1

With over five years of experience as a Python and Machine Learning expert, I have built and deployed several successful algorithmic trading systems, including many specifically for day-trading operations. My proficiency in Pandas, NumPy, TA-Lib, backtrader, and other quantitative Python libraries ensures that the bot I'll develop will be highly efficient in handling low-latency market data and executing orders accurately. I truly understand the time-sensitivity of this project as day-trading requires rapid development and clear communication. That's why you can count on me to deliver a working version as soon as realistically possible without compromising on quality or reliability. Moreover, I would also provide a comprehensive setup guide accompanying the source code with clean, well-commented logic. Lastly, but certainly not least, I believe in proving my abilities rather than just asserting them. Therefore, I'm delighted to share examples of my previous successful intraday trading bots as well as providing you with a screen capture of my comparable systems in action. Together, we can automate your day-trading operations to gain a competitive edge and maximize profits in the stock market. Let's hit the ground running and turn this project into yet another success story.

@targaryen007

Hi, This kind of setup works best when the person helping can quickly understand existing code and move straight into practical fixes—not just theory. While I don’t position myself as a pure senior Java architect, I do have hands-on experience working with backend logic, debugging workflows, and improving existing systems across APIs and automation-heavy builds. I’m comfortable jumping into live sessions, reviewing code, identifying issues, and helping implement clean, working solutions step by step. My focus is always on making things work reliably in production, not overcomplicating with unnecessary abstractions. For daily collaboration, I can commit to a consistent 2–3 hour slot and work alongside you through screen sharing or pair programming. If needed, I can first review a small part of your codebase and show how I approach debugging and improvements before we continue long-term. Best regards, Amit

@chiragm078

As a seasoned full-stack developer with extensive experience in API Development, Data Analysis, Python, and Software Architecture, I am confident that I possess the skills necessary to expertly deliver your stock day-trading bot. Over these past 5 years, my team and I have thrived on the challenge of crafting innovative custom solutions to meet varied client demands. This project aligns perfectly with our forte - developing efficient algorithms and creating high-performance applications that process real-time data rapidly and precisely. Not only do we leverage the robustness of Pandas, NumPy, TA-Lib, backtrader and more -- we share your appreciation for Python's mature ecosystem and understand how these tools can be best utilized to implement your well-defined rules. Our key differentiator lies in offering an end-to-end approach; from thorough documentation including clean, well-commented code to ease the hand-off process; to swift turnarounds with diligent communication as a fundamental part of our commitment towards client satisfaction. In addition to our technical competencies, we put great emphasis on understanding a client's business goals in order to tailor our solutions to suit their needs. You're seeking an experienced hand who values both efficiency and reliability when it comes to managing equity trades - and that’s exactly what we do best!

@Sadiyasyeda24

Hello, I understand the task and will ensure your expectations are me. I am a skilled freelancer with 4 years of experience in Python, Software Architecture, API Development. Check my profile for portfolio and reviews. Let's connect in chat to discuss more. Thanks, Syeda Tahreem

@himantha1

This i has been already built using Upstox API...as well as several similar projects for other clients. I have extensive experience designing and building high-speed, low-latency algorithmic bots for the stock market, using APIs from various brokers such as Upstox. My skills in Python (with proficiency in Pandas, NumPy, TA-Lib, backtrader) paired with my knowledge of the financial markets, will ensure a reliable and efficient bot for your day-trading strategy. In my previous projects, I have emphasized on robustness, risk management, and accuracy - the exact qualities you're looking for. My bots have had solid position sizing algorithms and incorporated stop-loss and max-drawdown limits to ensure sensible risk management. What sets me apart is not only my technical skills but also my commitment to client satisfaction. I understand the importance of clear communication and rapid development in time-sensitive projects like this one. Rest assured, you'll receive a well-structured source code with clear comments along with a comprehensive setup and deployment guide. Moreover, I'm more than happy to offer you a quick demo or backtest report showcasing how the bot performs on recent market data.

@snath88

Hi, Drop me a message — I'll share a quick prototype based on what I understood. If it matches your expectations, we can move forward. Thanks!

@shailender18

With my mastery of Python, web development, and automation, I'm confident that I have the skills required to build a top-notch stock day-trading bot for you. I understand that speed is of the essence in your project, and this is where my rapid development expertise comes into play. I'll leverage on Python's mature ecosystem to create a reliable algorithmic bot that will pull real-time equity data and execute your intraday strategy with surgical precision. Having successfully built complex systems from concept to deployment using the full MERN stack, I bring to the table strong proficiency in handling large amounts of real-time data while maintaining low-latency. You need not worry about a smooth hand-off as well because part of my package includes clean, well-commented source code alongside a setup and deployment guide. Plus, I'll provide a demo or backtest report showcasing your strategy working on recent market data to further guarantee its efficacy.

@meghashyamraju

Hi, This is a well-scoped and interesting project. I propose a phased approach to ensure speed, clarity, and stability: Phase 1 – Core Setup (6–8 hrs) Broker API integration (Alpaca/IBKR), real-time data, base bot structure Phase 2 – Strategy Engine (8–12 hrs) Implement entry/exit logic, indicators (Pandas/NumPy), signal generation Phase 3 – Execution Engine (6–10 hrs) Order placement, confirmation, retry handling Phase 4 – Risk Management (6–8 hrs) Position sizing, stop-loss, max drawdown/daily loss limits Phase 5 – Logging & Backtesting (6–8 hrs) Trade logs + backtest/demo on recent data Phase 6 – Testing & Stabilization (6–10 hrs) Paper trading, edge case handling, API reliability This approach enables quick delivery while ensuring safe execution before going live. Before starting, I’d like to confirm: 1. Preferred broker (Alpaca/IBKR) 2. Strategy rules 3. Timeframe 4. Risk constraints 5. Paper trading first? Deliverables: Clean Python code Setup guide Backtest/demo results I recommend starting with paper trading to validate strategy and execution. Looking forward to collaborating. Best regards, Shyam

@Sahilh77

Hello, I can build a reliable intraday trading bot in Python that executes your strategy with a strong focus on speed, accuracy, and risk control. The system will connect to your preferred broker (Interactive Brokers / Alpaca), pull real-time market data, apply your trading rules, and execute orders with proper handling of latency and API reliability. I’ll structure it into clear modules: – Data layer: real-time price feed + preprocessing – Strategy engine: your intraday logic (clean, configurable) – Execution engine: fast order placement + status tracking – Risk management: position sizing, stop-loss, max drawdown limits The code will be well-commented, modular, and easy to tweak, so you can adjust parameters without rewriting logic. I have already built a similar trading bot, so I understand how to handle real-time data, execution flow, and edge cases in live trading environments. Deliverables: – Full Python code (Pandas, NumPy, optional TA-Lib/backtesting) – Setup & deployment guide (local/VPS) – Backtest/demo on recent data Timeline: 2–4 days (fast delivery as requested) Ready to start immediately and implement your strategy. Best regards, sahil