Momentum Stock Bot for India

@consultantcae

Hi, I have built automated stock and option trading bot which uses various strategies including large gain/loss , volume change etc. I will customize it for your requirements and you can use it for 2000 INR/month subscription charge. Source code will not be available to you, you can use it on monthly subscription basis. Please check my portfolio to see User Interface of tools I have built. Regards Sourabh

@prashanpatel557

Hello, I have experience developing Python-based algorithmic trading systems, momentum scanners, Zerodha Kite integrations, backtesting engines, and automated risk management for Indian markets. I can build a production-ready momentum trading bot with: • Live NSE/BSE market scanning using Zerodha Kite (Upstox/Angel One can be added later) • Momentum detection using configurable price, volume, and trend filters • Automated order execution with trailing stop, profit target, and risk management • External configuration file for strategy parameters, trading window, and position sizing • Paper trading and live trading modes • Backtesting module with CAGR, drawdown, win rate, and detailed trade reports • Real-time dashboard/CLI showing positions, P&L, and recent signals • Robust logging, auto-reconnect, exception handling, and VPS-ready deployment The code will be modular, well-documented, and easy to extend with additional strategies or broker integrations in the future. I can also help validate the strategy by comparing paper-trading results against backtests before enabling live execution. Best Regards, Prashant

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would like to discuss it further. I’m Prabhath — an MQL4/MQL5, Pine Script, Python, and C++ developer with strong experience in building trading systems, advanced studies, and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5 and TradingView. As an active trader, I work with concepts like ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic. I build EAs and indicators that follow precise rules and match the user’s trading methodology perfectly. My expertise includes: Institutional-grade EA and indicator development ICT/SMT-based trading systems Pine Script indicators and automated strategies Python tools for data analysis, signals, and external integrations C++ modules for high-performance components Backtesting, forward testing, and full strategy optimization Strategy development, refinement, and consulting Once we discuss your project and you select me as the developer, I prefer a short call to confirm all details before starting. This ensures perfect clarity and avoids misunderstandings. I fix and optimize existing trading code by removing errors, correcting logic issues, and making your EA/indicator/bot stable and production-ready. Thank you.

@Jennycreation

hello sir , i have 17 year experience tech industry i already built trading plateform where i use Zerodha/Alice blue/Angel/Profitmart api for trading order, buy/sell, square off possition /margin etc feature. we also did automated trading using amibroker csv file. let me know i can show you demo. i already work on many Cryptocurrency trading system . i can show you demo also and can do as per your requirement. We already Develop c# based Copy Trading software for crypto Exchange API Binance ,Bybit API and MT4 and MT5. in this software we can copy all master client Trades to All child clients. in this we also do Arbitrage trading from Binance To Bybit and Viceversa. software will use the official Binance And Bybit API. i can show demo for you. let me know your response. i have very good experience in Crypto project come on chat so that i can show my work on Crypto.. i can start work from right now

@techmadigital

Hi, Your strategy is simple, but execution accuracy is everything. I can build a fully automated momentum trading bot with: ✅ Zerodha Kite integration (Upstox/Angel One if needed) ✅ Live scanning, auto entry/exit, trailing SL ✅ Config-based parameters ✅ Backtesting engine with performance reports ✅ Robust error handling and live dashboard Quick question: Will you provide the historical data, or should I integrate a data source? I can start immediately. Thanks, Nikhil ✅ Preferred & Verified Freelancer | ⭐ 5 Star Rating | ✅ 100% Project Completion

@Hrolgar

The 90% trade-reproduction requirement is the part of this brief that actually decides whether the bot works, not the momentum logic itself. Kite, Upstox and Angel One each handle order state, slippage and reconnects differently, so if the strategy is wired straight to Kite's API, backtest and live will drift apart the moment you switch broker or hit a bad network day. I'd build the strategy layer against a broker-agnostic adapter interface, Kite Connect first since that's what you named, with Upstox and Angel One as swappable implementations behind the same order and position interface. That keeps momentum detection and trailing-stop logic broker-independent and testable on its own. Real-time error recovery lives in the adapter itself, reconnect and resync order state on drop. Don't let a lost websocket turn into a phantom position sitting untracked. For the acceptance criterion, I'd run the backtest module against both paper-trading sessions and produce an actual parity report, trade by trade, showing where live execution diverges from backtest and why, rather than just asserting a percentage at the end. Config file for tuning thresholds, trailing stop distance, momentum fade window, position sizing, plus a CLI and a lightweight dashboard for live monitoring and a manual kill switch. This is an indicative estimate from the brief, I'll give you a firm quote once the scope is locked. 35000 INR, 10 days, one milestone: broker-agnostic bot with Kite live, backtest module, CLI and dashboard, and the parity report against your two paper sessions. Which broker's API keys do you already have ready to test against?

@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 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@neerajkanti2703

hlo sir i have a prebuilt strategy for the same ,supports majorly kite broker and is ready to deploy,if you are interested i can share you the result metrics backtested on nifty 200 stocks for atleast 3 years.

@richard031596

Momentum bursts on NSE/BSE fade fast, so the real engineering challenge here isn't detection logic — it's the trailing-stop and exit discipline that keeps a "strong move" from becoming a round-trip loss when volume dries up mid-position. I've built an automated trading system (Pine Script + Python FastAPI) using DMI, PVO, VWAP, Anchored Volume Profile, and EMA slope signals for entry/exit timing, with hard risk caps and stop-loss logic baked into every trade — the same discipline I'd apply here. For your bot: Kite Connect for live NSE/BSE data and order placement, an external YAML/JSON config for look-back, thresholds, and position sizing, a backtest module replaying historical minute data with CAGR/drawdown/win-ratio output, and a CLI dashboard for live positions and P&L. One question: for the 90% trade-reproduction target between backtest and paper mode, are you defining "trade" as entry+exit pairs matching within a tolerance window, or exact signal-bar matches?

@mussaibb7

I'd love to take on the Momentum Stock Bot for India project. To deliver a fully-automated momentum-based trading bot working on Indian equities, I'll focus on building a robust Python backend with FastAPI, emphasizing APIs, backend structure, deployment reliability, error handling, maintainability, and clean integrations. The real challenge lies in crafting a backend flow that remains clean under real API, deployment, and error-handling conditions. My experience with multi-client ML inference APIs has prepared me to tackle this complexity. I'll draw from my past successes, such as deploying multi-client ML inference APIs with sub-200ms latency and production-grade cloud delivery in the Multi-Client ML Inference API project. This expertise will inform my approach to designing a scalable and reliable backend for the Momentum Stock Bot. Here's a brief execution plan: I'll deliver clean backend code, environment setup instructions, error handling mechanisms, API integration flow, and a comprehensive README. Before we begin, I'd like to clarify the deployment target, API boundaries, and whether this is a greenfield or existing service.

@UmairBuildsAI

Hey, I build automated trading bots in Python with broker API integration, backtesting, and real-time monitoring. You can review my work here: https://www.freelancer.pk/u/UmairBuildsAI My plan: build the bot in Python, integrating with Zerodha Kite API (with Upstox/Angel One support as a stretch goal) for live NSE/BSE data, order placement, and error recovery. I'll implement the momentum detection logic (price/volume burst scanning, trailing stop, profit target exit) with a clean external config file for adjusting look-back period, entry/exit thresholds, position size, and trading window without code changes. I'll build a command-line dashboard showing current positions, open P&L, and recent signals, plus a backtesting module replaying at least a year of historical data with CAGR, max drawdown, and win ratio metrics. Delivered with source code, setup script, and a usage guide — validated by running paper mode for two full sessions to confirm live signals match backtest expectations within your 90% threshold. Do you already have a Zerodha Kite Connect API subscription set up, or should I factor that into initial setup steps? Best Regards, Umair

@CliveMSoftware

I'll build a production-ready momentum bot for NSE/BSE equities with Zerodha Kite as primary integration and fallback support for Upstox and Angel One. The system will include a configurable YAML parameter file for momentum thresholds, position sizing, stop-loss trails, and trading windows, plus a real-time CLI dashboard showing live P&L and signal generation. I'll implement a robust backtesting engine that replays minute-level OHLC data and outputs CAGR, max drawdown, and win ratio metrics. All code includes error handling, automatic reconnection logic, and paper trading validation. You'll get source code, a quick-start setup script, and a usage guide. I can have a working prototype with Kite integration and backtesting ready within 5 days.

@MohamedAshraf812

Hi there, I am a Software Engineer with strong experience in Python and real-time data processing. I can build your automated momentum trading bot for the NSE/BSE using the Zerodha Kite Connect API. My Execution Plan: 1. Core Execution Engine: I will develop a robust Python script that handles live WebSocket data from Zerodha, executing orders instantly when price/volume momentum bursts are detected. 2. Dynamic Configuration: I will build an external JSON/YAML config file allowing you to tweak look-back periods, thresholds, and position sizing without altering the core logic. 3. CLI Dashboard & Error Handling: The system will feature a clean command-line interface tracking open P&L and active positions, with built-in auto-reconnect handling for API drops. 4. Backtesting Module: I will implement a historical testing script for minute-level data to generate your required metrics (CAGR, maximum drawdown, and win ratio). Deliverables: Complete Python source code. External configuration file. Backtesting script and setup documentation. I am ready to review your exact entry/exit mathematical logic and start setting up the API connection. Best regards, Mohamed Ashraf

@shariqueshaikh18

With a name like Sharique and a portfolio like mine, I'm confident that I'm the right candidate to build your automated momentum-based trading bot for Indian equities. My expertise lies in developing high-performance trading systems and software that can function independently without the need for constant human monitoring. Specifically, in the trading domain, I have proven capabilities in building MQL4/MQL5 Expert Advisors with robust risk management techniques, adaptable multi-timeframe logic, and well-formatted backtest reports – skills that align perfectly with your project requirements. In addition to this, my skillset extends to creating full-stack software and Python-based trading tools integrated with exchange APIs. This means you'll not only receive a thoroughly tested and documented codebase for your trading bot but also comprehensive support for troubleshooting and setup. Moreover, being the founder of SS Services, a globally connected remote network, I understand the significance of effective communication and respect for time zones. My work will be delivered promptly, ensuring that it not only meets but exceeds your expectations

@pardhipawan

Hello, Respected dignity We are specialized in building Algorithmic Trading Software and have strong hands-on experience in developing automated trading systems, strategy execution engines, broker/API integrations, and risk management modules. (Angel one / MT5 and other brokers) We understand that trading software requires precision, speed, and reliability and We build systems that are stable, well-tested, and production-ready. If you'd like, We can also show you a live demo of systems We've already developed. You can review the performance and structure before making a decision. We are confident thar we can deliver exactly what you're looking for with clear communication and complete professionalism. Let's connect and discuss your requirements. Best regards, Pawan

@hlomlan

I understand the need for a fully-automated momentum-based trading bot tailored for Indian equities. My approach involves developing a Python-based system that seamlessly integrates with Zerodha Kite and allows for easy parameter adjustments through an external config file. By leveraging real-time NSE/BSE data, the bot will detect profitable opportunities based on strong price and volume movements, execute trades, and manage positions effectively. To ensure reliability, the system will include robust error handling, real-time data processing, and a user-friendly dashboard for monitoring positions and performance metrics. I offer a commitment to clear communication, timely delivery, and a focus on quality to meet your expectations. Let's discuss your vision and preferred timeline in a free consultation to determine the best approach for your momentum stock bot project. What specific features are a priority for you in this automation tool?

@samuela023

I’m a professional forex trader and strategist with proven experience in mentorship, automated EA bot development, and reliable account management. I offer: ✅ *One-on-one mentorship* to help you understand market trends and strategies ✅ *Custom or ready-made EA bots* optimized for consistency and risk management ✅ *Account management* with performance-based results and clear reporting I’m committed to helping you grow your capital responsibly and efficiently. Let’s discuss your goals and how I can tailor my service to fit your needs. Looking forward to working with you. *Best regards,* *Samuelfxm*

@chengalappan42

Hi there, I read through your requirements for the Spring Boot microservices project with Kafka integration, and this is directly in my wheelhouse — I've spent the last 4+ years building exactly this kind of system in production.

@DavidNt10

Tengo formación en Trading Algorítmico y Portafolio Cuantitativo (Universidad del Rosario) y experiencia con Python aplicado a estrategias de momentum y gestión de riesgo. Puedo construir la lógica de detección de impulsos de precio/volumen, gestión de stops y salidas por pérdida de momentum, con parámetros ajustables sin tocar el código. No tengo experiencia previa directa con la API de Zerodha/Upstox, pero su documentación es clara y puedo integrarla sin problema — mi punto fuerte es la lógica de la estrategia y el backtesting, que es donde más se falla en estos bots. Te entrego primero una versión probada en backtesting/paper trading antes de operar en vivo