Intraday Trend-Following Trading Bot

@flance9

Hello, I hope you're having a great day. I have hands-on experience delivering automated trading systems that monitor markets and execute orders without manual input. I built a live crypto trend bot that used websocket price feeds, multiple technical indicators, and volume filters, sending market and limit orders through an exchange API while maintaining full audit logs and an emergency flat function. My high-level approach: connect to broker API via low-latency sockets, run indicator engine, decision module maps signals to order types, robust logger and a small web panel for parameter tweaks. I would like to request your time to discuss the details. Best regards, Inderdeep Singh

@Milvetti

Hi, we can help you with your real-time intraday trend-following trading bot with direct broker 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

As an expert in algorithmic trading systems with a strong focus on trend analysis, I am perfectly poised to deliver a top-notch trading bot for your needs. My experience includes successful projects involving real-time analysis of price movements, technical indicators, and trading volume to drive accurate and timely decision-making. And I've worked extensively with all three key order types: market, limit, and stop. Rest assured that your bot would integrate smoothly with your demat/trading account via your broker’s API. Another feather in my cap is my proficiency in AI and automation workflows. So not only will I build this bot as per your specific requirements, but I will also create an intuitive interface where you can easily modify indicator parameters, manage lot sizes, and risk settings before every session begins. With me, you'll have full control over your intraday trading. Moreover, I fully understand the criticality of low-latency execution while developing trading bots. This detailed-oriented approach extends to my code as well; they’re always clean, clear, optimized and understandable codes. With me on board, you can also expect robust error handling mechanisms and a failsafe kill-switch to protect your balance sheet in case of connectivity drops or other emergencies. Let's discuss how we can work best together on this promising project!

@MqlcoderHub

Hi there — this is exactly the kind of intraday trading bot project I’ve worked on before with clients using broker API integrations and trend strategies. You can review their feedback attached to this proposal. I can build your real-time trading bot with solid trend-following logic and reliable execution. I understand both trading systems and development, so the bot will perform smoothly in live market conditions. Quick questions: • Which broker API are you using for integration? • Do you already have a defined strategy or indicators for entries/exits? Let’s connect in chat to discuss further.

@prashanpatel557

Hello, I can build your intraday trend-following trading bot with real-time execution, clean controls, and strong risk safeguards. Approach: • Python engine (Flask + WebSocket) • Broker integration (Zerodha / Dhan / others via API) • Event-driven flow: data → signal → order → monitoring Strategy Layer: • Trend-following (EMA/VWAP + volume confirmation) • Multi-timeframe support • Fully configurable parameters Core Features: • Market, limit, and stop order handling • Auto entry, SL, target, trailing logic • Real-time monitoring + position management Control Interface: • Simple CLI or web panel (your choice) • Pre-session parameter setup (lot, risk, indicators) • Emergency kill-switch (flatten all positions instantly) Reliability: • Auto reconnect + error handling • Detailed logs (signals, orders, fills) • Safe execution checks Deliverables: • Full production-ready code • Setup + deployment guide (local/VPS) • Live demo session Timeline: 10–12 days I have experience with trend-following bots, broker APIs, and real-time trading systems, ensuring stable execution. Question: Which broker API will you use for this (Zerodha, Dhan, or another)?

@Hrolgar

Paper-trading before a rupee touches the account isn't a nice-to-have, it's the only way to trust that live fills match what the backtest modelled. I'd build this in four stages: broker abstraction and data feed (M1, INR 2750, 2d), trend signal engine over candle data (M2, INR 2750, 3d), pre-order risk guards with per-trade and daily loss caps (M3, INR 2750, 3d), then paper-mode integration and backtest with fee and slippage models (M4, INR 2750, 2d). Python throughout, strategy logic as pure functions so adjusting trend rules later doesn't touch execution plumbing. Which broker are you on? Zerodha Kite Connect and Angel One's SmartAPI have different WebSocket reliability profiles, and that changes how I handle reconnect logic and order state recovery.

@loxtic

Hi, how are you doing? I have built real-time trading bots with direct broker API integration, robust risk controls, and low-latency order handling, plus a lightweight UI to tune indicators, size, and risk before a session. I can deliver production-ready source with clear docs, a setup guide, and a live test run to verify execution. I’ll include thorough logs and an emergency kill-switch, plus graceful error handling. Let me know further if interested

@mahads31

With a proven track record in building smart, effective, and forward-looking digital solutions, I am confident in my ability to create an exceptional intraday trend-following trading bot that meets your exacting requirements. My expertise in languages such as C++, PHP, and Python combined with a deep understanding of software architecture make me uniquely well-suited to build this sophisticated trading bot. To guarantee the seamless integration you desire, I offer extensive API experience, having worked integrating various systems before. Your need for low-latency execution and real-time market monitoring aligns strongly with my past accomplishments where I designed systems capable of processing high data volumes in real-time. My ability to handle different order types including market orders, limit orders, and stop orders is proven. The 'deliverable' requirements mentioned are in my areas of skills. Besides supplying you with scalable source code with unambiguous documentation and a setup guide for self-deployment, I perform one live trading session to showcase accurate execution. I also emphasize preservation with robust logging that enables easy audibility at the close of day.

@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

@ELGAMLDev

Hi, A bot that misses an order by 200ms or silently swallows an API error during a live session isn't a trading bot, it's a liability. So I take the engineering side of this just as seriously as the strategy side. Here's how I'd approach your build: For the broker integration, I'd connect directly to your broker's official API, whether that's Zerodha Kite, Upstox, Angel One, or something else. Orders go straight to the exchange the moment conditions are met, no intermediate layer slowing things down. The trend logic would be built around clean price action + volume confirmation, with your chosen indicators (EMA, ATR, RSI, VWAP, whatever you're using) as configurable parameters, not hardcoded values. You adjust them before the session, the bot reads them and runs. On the interface side, I'd build a lightweight web panel where you set your lot size, risk per trade, and indicator params before market open. Clean, simple, nothing you don't need. Logging — every signal evaluation, every order sent, every fill received gets written to a structured log. At end of day you have a full audit trail: what triggered, what fired, what filled, what slipped. The kill-switch is non-negotiable for me. If the connection drops, or if daily drawdown hits your limit, the bot flattens everything and stops. No exceptions, no retries on bad state.

@dominikfriz

I can deliver a production‑ready, real‑time trend‑following bot integrated directly with your broker’s API. My existing institutional‑grade trading system (AlgoSync) already includes all the components you need – I will adapt and slim it down to match your exact specification and budget. **What you will receive:** - A **Python bot** that continuously monitors price, volume, and technical indicators. - **Direct broker API integration** for instant market / limit / stop orders. - A **simple CLI or lightweight web panel** to adjust parameters (lot size, indicator settings, risk limits) before each session. - **Robust logging** of every signal, order, and fill for end‑of‑day audit. - **Emergency kill‑switch** that flattens positions on connectivity loss. - **Full source code, documentation, and a VPS deployment guide.** - **One live session walkthrough** to prove execution. **Timeline:** 3–5 days from acceptance. **Important – given the budget constraint:** The delivered system will be a focused, battle‑tested trend strategy (e.g., EMA crossover + volume confirmation) – **not** the full multi‑regime AI stack I run for myself. It will, however, be clean, maintainable, and ready for future upgrades. I require **100 % upfront milestone** before starting work. This protects both of us and ensures I can dedicate the time needed. Let’s build something reliable that makes you money while you sleep.

@PyMLExpert1

With extensive experience in building automated systems revolving around trend analysis and low-latency execution, I am confident that my skills align perfectly with your requirements. My comprehensive understanding of Python, particularly in the domains of trading and machine learning, makes me uniquely capable to deliver a top-notch intraday trading bot for you. My proficiency extends beyond merely coding- I aim to architect and deliver fully functional, production-ready systems armed with clear documentation and setup guides for effortless deployment on your machine or VPS. Moreover, I consider grace under pressure as an essential attribute for a system running financial-based tasks; therefore, my designs incorporate robust error handling strategies while maintaining an emergency kill switch for any unexpected situations. My forte lies in building intelligent machines that can process large-scale data to make real-time decisions, just like what your project requires. Additionally, as accuracy is crucial here, I'm committed to logging every detail of the trading session for transparent performance auditing. Let's work together to transform this project into a reality that propels your trading strategies to new heights.

@ahsan1afzaal

Hey I can build this as a production-grade, low-latency trading bot with a proper event-driven architecture so it can monitor price action in real time and execute trades instantly based on your trend-following rules. The system will integrate directly with your broker’s API, continuously process market data (price, volume, and technical indicators), and trigger orders without manual intervention while maintaining strict control over risk and execution logic. On the execution side, I’ll implement support for market, limit, and stop orders with robust order state tracking, so every signal is tied to a verifiable fill or rejection. You’ll also get a lightweight control interface where you can adjust strategy parameters, position sizing, and risk thresholds before each session, along with a kill-switch to immediately flatten positions if connectivity or abnormal behavior is detected. For transparency and reliability, I’ll include detailed logging of every market signal, decision, order, and fill so you can fully audit performance after each trading day. The deliverables will include clean, documented source code, a deployment guide for VPS or local execution, and a supervised live session to confirm real-time order execution works end-to-end. Regards, Ahsan Afzaal

@rahulb617

hi, i have done all my projects on algo tradings only in apps like shoonya,dhan,fyers,zerodha and binance recently i have made bot in zerodha(top 20 losers/winners) with , paper mode and auto execution of buy/sell when it meets the criteria i can fulfill all your requirements lets get in touch

@drilonh

With my focus on Python development and automation, I am confident in delivering a top-notch intraday trading bot tailored to your specifications. Throughout my career, I've consistently demonstrated my ability to build efficient solutions for complex tasks, which will be essential given the real-time nature of this job. Moreover, my expertise in working with Flask and APIs makes me well-suited for direct integration with your broker's API, ensuring smooth and speedy execution of orders. My commitment to clean, maintainable code will ensure that the bot is not only reliable but also easy for you to adjust and tweak according to your needs using a simple CLI, web panel or lightweight desktop. I understand the importance of low-latency execution in this space as split-second decisions can make or break a trade. With my deep knowledge in technical analysis and Python scripting, I'm confident in incorporating trend-following strategies and efficiently processing market intelligence like price movements, technical indicators, and trading volume. In addition, I guarantee robust logging functionalities so you have access to detailed performance information and emergency kill-switch implementation to protect against connectivity issues. Choosing me means opting for quality output married with clean communication through every step

@techmadigital

Hello! I've developed several Bots for Indian Stocks/Options/Futures. I can do this perfectly. Let's talk on chat. I can show you live bots working with deep backtesting features.

@tushxr93

Hi, I have been building algorithmic trading systems and I understand exactly what an intraday trend-following bot needs — clean entry/exit logic, proper risk management, and reliable execution. Here is my approach for this project: - Identify trend using indicators like EMA/Supertrend/ADX - Define clear entry, exit, and stop-loss conditions - Automate execution via broker API - Backtest the strategy before delivering live code I hands-on experience with market data handling, order management, and strategy logic. A couple of quick questions to make sure I deliver exactly what you need: 1. Which broker/platform should the bot connect to? 2. Do you have a specific strategy in mind or should I design one? Looking forward to working on this.