EMA Trading Algorithm Development

@sdqtrades

Drawing on my solid background in both financial markets and Python, I am ideally positioned to tackle your project with proficiency and produce the precise results you're after. The developer-client relationship, in my opinion, must involve open-minded collaboration, and I'm excited about working with you to enrich your EMA trading strategy in a fully automated setup. Notably, I have always adhered to clean, clear, optimized, and highly understandable coding principles while building trading bots or systems for clients across different platforms including Binance and Metatrader 4. This streamlined approach coupled with a deep understanding of EMA-driven algorithms will ensure that your strategy's core logic leverages the EMA crossover/price-interaction model effectively and efficiently; keeping the code easily modifiable without sacrificing speed or performance. In summary, my experience in designing automated systems structured around a wide array of technical indicators has primed me for precisely what you need accomplished. Deliberate forethought coupled with adaptable coding practices has always been my approach. I am renowned for delivering high-quality work in time-bound fashion - clearly explained in concise documentation which is what you would find valuable for launching your new algorithm. Let's get this job done!

@AbhyudayaCodes

Hi, Sir/Madam ! Warm Greetings !! We are a team of expert algo trading systems developers, having vast experience in algo trading field, mainly using Python. We have built the following types of algos: > NSE/MCX Markets > Algos trading F&O, Stocks, Spreads, Straddles, Cryptos & Commodities > Indicator/price movement based algos > Desktop/server based > Multi client systems > Systems with Stop loss, Trailing SL, Target Profit, Martingale, Qty Splitter, Multi Timeframe, Stock Screening, etc. > Have built custom timeframes and indicators > Brokers like Zerodha, Fyers, Angel One, IB, etc. > Chart patterns like Heikin Ashi, Renko, Marubozu, etc. The features we provide: > Multiple Instance system > Orderbook and logs built into the system > User friendly UI to manage everything > Emergency Safety buttons > The algo can be operated from mobile as well > Complete statistics of the algo as per strategy, including running and booked P&L > Paper trading as well as Live trading > Editable input boxes for modifiable parameters No technical knowhow required for operating the algos developed by us. We focus on delivering quality to our clients, keeping in mind safety, security, aesthetics, scalibility, etc. Considering our skill set and experience, we think we will be a perfect fit for your project. Looking forward to working with you ... Message me to discuss further

@tinuvj

Hi, I have 15+ years of experience in the software development. You can see my recent ALGO projects, reviews & demos here: ► https://www.freelancer.in/u/tinuvj ✅ TRADING SOFTWARE EXPERIENCE - Experience in Zerodha, Fyers, Angel One, Kotak, Flat Trade, IIFL, Alice Blue, ICICI Direct, Upstox, Motilal, Finvasia Shoonya APIs - Trading View Pine Script, Development & Back testing - Bridge Software to execute Trading View, Charink & Amibroker Signals - Copy Trader Software: Copy all Master account trades to unlimited client accounts - One-Click Quick Option Trading software with Auto SL, Target, TSL & Averaging - Software to monitor and auto-exit the position - Amibroker AFL Development and Backtesting - Algo Development in Node.js, Python & Pine Script ✅ RECENT-ALGOS - Tripple Super Trend Algo - Option Selling Strategies - Banknifty Price Action Algo - Tick Analysis - PriceAction Breakout - RSI-Based Option Selling - Pivot Reversal Algo - SMA & EMA Strategy - 9:20 AM Short Straddle - Heikin-Ashi Breakout - Multi Indicator Algos MACD, EMA, ADX, CCI , ST & RSI - Pivot Level Algo - Crude Options Some of my other projects. - Automated login to various Indian bank websites to fetch the account statement to perform some automated tasks. - Automated login and trade execution in various Indian stockbroker platforms - WhatsApp API & Chat Bot Using WhatsApp Web Automation Thanks & Regards Tinu Jose

@mahads31

With a proven track record in complex software development, I would be honored to assist you in your quest for an EMA Trading Algorithm for your Indian-equity strategy. My team at Solves Inn is adept at approaching projects with precision and flexibility, two qualities integral in an EMA design that you are seeking. We understand your need for a clean, fast, and adjustable code and can assure you that our experienced Python programmers can create you an algorithm that not only meets but exceeds your expectations. When it comes to the back-testing module, we have designed several robust systems that provide accurate historical win-rates, drawdowns, and reliable equity curves. We understand the importance of detail-oriented work in this field as even the smallest error can have drastic implications. As such, we diligently test every aspect of our work before we consider it ready for production. Another crucial aspect of the project is compatibility with popular Indian brokerage APIs and charting platforms. My team has extensive experience utilizing these systems and we can guarantee a smooth integration with whichever option you choose – whether it be Python with Zerodha Kite, REST or TradingView Pine Script – our adaptability knows no bounds.

@khaliduom103

‎Hi I am experienced data analyst of all types of raw data.I will provide my previous project output in the chat box.I have expertise in python for all types of data analysis. ‎

@Shrutibimpl

Hello, I will develop your fully automated Indian-equity trading algorithm using Python and integrate it with your chosen Indian brokerage API, such as Zerodha Kite. I will program the core logic around the Exponential Moving Average crossover and price-interaction model, ensuring that parameters like EMA length, timeframes, and point buffers are easily adjustable through a configuration file. I will build a built-in backtesting module using pandas and NumPy to evaluate historical win-rates, drawdowns, and equity curves on your target Indian equities and indices. Finally, I will construct a secure API execution layer to handle automated order routing for both live and paper-trading modes, accompanied by clear setup documentation. 1) Do you prefer a completely automated Python script running on a VPS, or a semi-automated alert system using TradingView Pine Script webhooks? 2) Do you have active Zerodha Kite developer credentials ready, or should I guide you on setting up the API access? 3) Which specific Indian equities or indices do you plan to run the initial historical backtests against? Thanks, Bharat

@prashanpatel557

Hello, I have experience developing Python-based algorithmic trading systems, EMA strategies, Zerodha Kite integrations, TradingView Pine Script, and backtesting frameworks for Indian markets. I can build a modular EMA trading system with: • Configurable EMA length, timeframe, and entry/exit buffers • Clean signal engine with risk-based position sizing • Backtesting module with win rate, drawdown, equity curve, and trade analytics • Paper trading and live trading modes • Broker integration (Zerodha Kite or other Indian brokers) or Pine Script version for TradingView • Well-structured, commented code with configuration files for easy customisation • Logging, exception handling, and deployment documentation The architecture will separate strategy, execution, risk management, and reporting, making future enhancements straightforward without modifying the core logic. I can also validate the strategy against your sample trades to ensure the implementation matches your EMA rules before live deployment. Please share your EMA entry/exit rules and preferred broker/platform so I can provide the most suitable implementation. Best Regards, Prashant

@MqlcoderHub

Hi there Your EMA strategy deserves clean, reliable automation. I can build a fully parameterized bot with accurate backtesting, Zerodha/Pine integration, and clear documentation so it's easy to tweak and deploy. Happy to match your sample results and walk through a live demo.

@TechWagger2026

As a seasoned developer with an unwavering passion for solving complex coding challenges, I'm thrilled to bring my more-than-a-decade-long experience to your EMA Trading Algorithm Development project. Throughout my career, I have successfully developed highly technical and performance-oriented systems using Python, such as the one you require. In addition to my sturdy background in C Programming and Python, I possess extensive knowledge in software architecture that should prove valuable to creating a scalable algorithm structure that can be easily adapted by modifying predefined parameters. I understand the importance of a clean, fast, and adaptable code base-attributes that are essential for effective trading strategies. Lastly, while I don't have 'repositorial' examples to showcase in this specific domain of EMA trading development, I am confident that my skill set and expansive experience in web and app development across multiple industries sharpened me to adapt rapidly to new areas. Thus, I will reproduce sample results provided by you during back-testing on Indian equities/indices, ensuring your complete satisfaction. Let's create an automated trading prowess!

@Algokage

Hello, I can efficiently develop your EMA trading algorithm with a focus on clean, fast, and tweakable code. I’ll structure the algorithm to allow easy parameter adjustments for EMA length, timeframe, and buffer points, ensuring seamless integration with Indian brokerage APIs like Zerodha Kite or TradingView Pine Script for live execution. A back-testing module will be included to analyze historical performance on Indian equities and indices, and I’ll provide concise documentation for deployment in live and paper-trading modes. With 5+ years of experience in technical trading bots, I’ll ensure the script executes EMA-based entries/exits accurately. Send a message to see samples of similar projects or discuss further. Thanks, Adegoke. M

@loxtic

Hi, how are you doing? I have considerable experience building EMA-based trading bots and have deployed several projects around Python integrations with Zerodha Kite and REST-based setups for live trading and backtesting. I can structure the EMA rule so parameters are easily tweaked, add a clear back-testing module with performance metrics, and package the deliverable for live execution on Indian brokers or charting platforms. I can share a brief example or repo link 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 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

@kanwaljeetk56

Hi. I have expertise writing strategies for backtest and for Algo trading and can show you live demo.

@shoaibkhan754400

Hi, I can help with this. I have built many EMA-based trading systems for Indian markets using Python, TradingView, and broker APIs such as Zerodha Kite. The code will be modular, easy to modify, and suitable for both backtesting and live execution. The strategy will support configurable EMA length, timeframe, buffer, risk management, and other parameters without changing the core code. I can also include detailed backtesting with metrics such as win rate, drawdown, equity curve, and trade logs so you can validate the strategy before going live. I have two questions: 1. Which broker do you plan to use for live trading—Zerodha Kite, Kotak Neo, Angel One, or another API? 2. Do you already have the complete EMA entry and exit rules documented, or would you like me to help structure them into a precise algorithm? About my background: I have 5 years of experience in MT4/MT5, TradingView, cTrader, NinjaTrader, ATAS, SierraChart, MultiCharts, Thinkorswim, Protrader, Quantower, and custom Python/Java automation for proprietary trading firms. I have successfully delivered 1000+ projects—EAs, bots, indicators, dashboards, and custom utilities with precision. What sets me apart is my commitment to long-term support. I don’t just deliver and disappear—if anything comes up after delivery, I will resolve it promptly. I believe in building strong professional relationships and ensuring full satisfaction, not temporary transactions.

@tradeamplify1

Hi, Your project aligns perfectly with our expertise in algorithmic trading, Python automation, and Indian broker API integrations. ✔ Develop a configurable EMA-based trading algorithm with customizable parameters for EMA length, timeframe, buffer, position sizing, entries, and exits—without requiring code modifications. ✔ Integrate the strategy with popular Indian brokerage APIs (such as Zerodha Kite) or a broker-agnostic architecture to support both paper trading and live execution. ✔ Build a comprehensive backtesting module with historical performance metrics, including win rate, drawdown, equity curve, and detailed trade reports for NSE/BSE stocks and indices. ✔ Deliver clean, well-structured, and well-documented source code along with deployment instructions and guidance for live and paper trading environments. ✔ Ensure the strategy executes exactly as specified, validates against your sample backtest results, and performs reliably during the live demo. We have successfully developed several algorithmic trading systems, broker API integrations, backtesting engines, and automated trading solutions. Kindly go through my portfolio to review our relevant projects and experience. Looking forward to discussing your project. Best Regards, Durgesh Pandey

@ziedb4

Hi, EMA crossover/price-interaction algorithms with parameterized inputs and backtesting are exactly the kind of clean technical build I deliver regularly. My approach: Core algorithm: the full EMA-based entry/exit/position-sizing logic built around configurable parameters—length, timeframe, buffer pips/points—exposed as variables, not hardcoded, so you can tweak without touching the code. Backtesting module: historical win-rate, drawdown, and equity curve visualization on Indian equities and indices, validated against your sample results before delivery. Deployment language: Python with Zerodha Kite Connect API is my recommendation—it gives you live execution, paper-trading mode, and direct access to NSE/BSE data without needing a broker-agnostic abstraction layer. I can also deliver as Pine Script if you'd rather keep it on TradingView; let me know your preference. Documentation: concise explanation of variables, file structure, and step-by-step deployment instructions for both live and paper-trading modes. Acceptance: I'll validate the EMA entries/exits match your specification exactly, confirm backtest results align with your sample data, and run a live demo session on NSE/BSE symbols error-free.

@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!

@webexpertvicky13

Hello, I have 9+ years of development experience and have built automated trading systems, API integrations, and Python-based automation tools. I can develop a clean, modular EMA-based trading bot that is easy to maintain, optimize, and deploy. The strategy will be fully parameterized, allowing you to modify EMA length, timeframe, entry/exit buffers, stop-loss, and position sizing without changing the core code. I'll also include a backtesting module that reports win rate, drawdown, trade history, and equity curve using historical NSE/BSE data. I recommend **Python** with a modular architecture, making it compatible with **Zerodha Kite Connect** and adaptable to other broker APIs via REST. If preferred, I can also provide a TradingView Pine Script version for signal generation. The code will support both paper trading and live execution with proper logging and error handling. The project includes well-documented source code, deployment instructions, file structure documentation, and a live demo to verify the strategy matches your specifications. My focus is on clean architecture, accurate execution, and reliable performance, ensuring the bot is easy to extend for future strategies. I look forward to discussing your EMA rules and building a robust automated trading solution.

@mussaibb7

I'll develop a tailored EMA trading algorithm that automates your Indian-equity strategy with a high degree of precision. My approach prioritizes a thoughtful feature strategy, rigorous evaluation discipline, and reproducible training to ensure a robust model. I've successfully deployed multi-client ML inference APIs with sub-200ms latency and production-grade cloud delivery, showcasing my ability to handle complex systems and production environments. This experience directly applies to the delivery risk in this job. To tackle this project, I'll begin by designing a systematic feature engineering approach that leverages my expertise in statistics and financial markets. This will be followed by a validation strategy, model tuning, and backtesting to ensure the algorithm's performance meets your expectations. Before commencing, I'd like to clarify the deployment target, API boundaries, and whether this is a greenfield or an existing service to ensure a seamless integration. Is the bigger issue feature engineering, model selection, or the submission pipeline right now?