Algorithm Traders

@HarjitHundal91

Experienced in Python-based algorithmic trading, broker API integrations, strategy automation, and risk management for NSE/BSE markets. Skilled in backtesting, live execution systems, TradingView/Pine Script, and scalable algo trading infrastructure.

@prashanpatel557

Hello, I am a Python Automation Developer and Algorithmic Trading Systems Consultant with hands-on experience building end-to-end algo trading solutions for Indian markets using Zerodha, Fyers, Upstox, Angel One, and Dhan APIs. My experience includes: • Strategy research, backtesting, and optimisation • Automated order execution systems with paper/live trading modes • Risk management engines with kill switches and drawdown controls • Real-time monitoring dashboards • NSE/BSE equities, futures, options, and intraday systems • Backtesting using Backtrader and custom Python frameworks • Pine Script and TradingView webhook integrations Tech Stack: Python, Pandas, NumPy, WebSockets, FastAPI/Flask, SQLite/PostgreSQL, Backtrader, TA-Lib I can independently handle: • Strategy development and validation • Broker API integrations • VPS deployment and automation • Performance analytics and reporting • Maintenance and ongoing optimisation I am available for both project-based and long-term retainer engagements and can provide regular updates, testing reports, and production-ready code. Availability: Full-time remote availability with fast response during market hours. Looking forward to discussing your trading infrastructure, strategy requirements, and workflow in detail.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Jennycreation

With my extensive 15+ years of programming experience and unparalleled understanding of the NSE/BSE market, I believe I am the best fit for your project. My team and I have profound expertise in algorithmic trading, making use of technologies like Python to develop quantitative trading strategies with the highest possible performance. Not only have we worked with several Indian broker APIs, including Zerodha Kite, but we are also skilled in building robust automated order execution systems, implementing paper trading simulations and real-time monitoring mechanisms. Risk management is a crucial aspect when it comes to algorithmic trading, and my proficiency in coding position sizing, stop-loss techniques, portfolio-level risk controls coupled with real-time monitoring of execution issues ensures that any anomalies or strategy degradation are promptly flagged. Additionally, I'm well-versed in backtesting frameworks like Backtrader and have a solid understanding of key financial metrics such as Sharpe ratio and max drawdown which are crucial for optimizing strategies for risk-adjusted returns. I understand that consistency is paramount in the field of finance. As such, throughout my work as a stock trading software expert, I've developed and maintained reliable systems that incorporate all changes resulting from market conditions evolution. .

@Algokage

Hello, I can efficiently execute your full-stack algo trading project for NSE and BSE, covering strategy design for equities, F&O, and indices, backtesting with realistic assumptions, live deployment via Zerodha Kite or similar APIs, and robust risk management with real-time monitoring. Using Python, Pandas, and backtesting libraries, I optimize for Sharpe ratio and drawdown. With over 5 years in Indian algo trading, I understand market microstructure and SEBI guidelines. Please message me to see similar projects or discuss requirements. Thanks, Adegoke. M

@KaleRiddhesh

I will not say convincing words ❌ You can message me and ask related questions. I keep 8+ years experience in this industry and providing trading relation solutions since 5+ years now and I can complete this project ?

@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

@techmadigital

Hi, We have already worked on algo trading systems with Zerodha Kite, TradingView alerts, automated order execution, trade management rules, and live monitoring workflows for Indian markets. A few quick questions: • Is your strategy already ready or needs development from scratch? • Which broker and data provider are you currently using? Once I understand the setup properly, I can confirm the execution plan.

@hugog17

⭐⭐⭐⭐⭐ Senior Algorithmic Trader & Quant Developer ⭐⭐⭐⭐⭐ Hello there, I am a full-stack algo trader with 3+ years building and deploying quantitative strategies on NSE and BSE across equities, futures, and options. Backtesting on Indian markets requires realistic slippage modelling specific to NSE liquidity conditions — strategies that look strong on clean OHLC data often degrade significantly once bid-ask spread and impact costs are factored in for mid and small-cap instruments. Built and deployed automated trading systems integrated with Zerodha Kite API, covering strategy execution, position sizing, stop-loss enforcement, and kill-switch mechanisms for drawdown breaches. One momentum strategy on Nifty F&O ran live for eight months with a Sharpe ratio of 1.4 after realistic transaction cost assumptions were applied during backtesting. Options strategies including straddles and delta-hedged spreads are part of my active toolkit, and I'm familiar with current SEBI algo trading registration requirements that affect live deployment. Are you looking to deploy existing strategies that need engineering work, or does the role include strategy research and development from scratch?

@letswork92

Hello, I see you’re in search of a seasoned Full-Stack Algo Trader to navigate the complexities of algorithmic trading in the NSE/BSE markets. With over 12 years of experience, I have honed my skills in developing and optimizing quantitative trading strategies, utilizing robust Python libraries like Pandas and NumPy for backtesting. My proficiency extends to integrating with various broker APIs such as Zerodha Kite, ensuring automated order execution systems are both efficient and secure. Additionally, I have a solid understanding of risk management principles crucial for maintaining portfolio integrity and performance monitoring. I’ve successfully implemented real-time monitoring systems that include alerts and failsafes, tailored to adapt as market conditions evolve. My approach is data-driven, emphasizing clear documentation and performance metrics. Could you share more about your preferred strategy types or any specific market conditions you're focusing on at this stage? Looking forward to potentially collaborating! Best regards, [Your Name]

@nidhuzalavadiya

Hi there, I have deep hands-on experience building automated trading systems specifically for the Indian markets (NSE/BSE). I regularly develop execution engines integrated with the Zerodha Kite API and manage data pipelines handling both equity and F&O segments, ensuring precise order placement and real-time position monitoring. I will handle your full lifecycle requirements by structuring rigorous backtesting pipelines using historical data with realistic slippage factors, followed by setting up automated paper-trading environments before live deployment. Every system I build includes strict risk management guardrails, real-time P&L tracking, and instant kill-switches to protect capital. I am ready to connect immediately to review your strategy logic and share my previous technical templates. Best Regards, Nidhi Zalavadiya

@dinurajp123

Results-driven Quantitative Trader and Management Professional with over 7 years of deep, hands-on experience navigating the Indian financial markets. Specializing in derivative trading (Options and Futures) on Nifty, Bank Nifty, and FinNifty, I combine technical market expertise with structured management principles to build, optimize, and execute high-performance trading strategies. My unique edge lies at the intersection of market psychology, rule-based algorithmic automation, and rigorous risk management. Whether managing corporate galley operations or scaling capital in the markets, I bring a structured, process-oriented leadership style that ensures operational excellence, strict compliance, and disciplined execution under pressure.

@gerog8

Hi there, I am an Artificial Intelligence Engineering student focused on algorithmic automation, high-volume data processing (Pandas, NumPy), and robust API integrations. While my core strength is quantitative engineering, my practical experience trading equities and digital assets gives me a solid grasp of market mechanics, risk control, and execution logic. Instead of just scripting isolated strategies, I build resilient, full-stack algorithmic architectures. I propose developing a comprehensive market-scanning system that analyzes data at scale and feeds it into a bulletproof execution engine. Here is how I will address your core requirements: Quantitative Infrastructure: Custom Python environments for rigorous backtesting using realistic assumptions (slippage, transaction costs) and strict risk metrics (Sharpe, max drawdown). API & Execution Failsafes: Seamless integration with broker APIs (like Zerodha Kite). The execution engine will feature strict error-handling protocols, state management, and automated kill-switches to protect capital. Programmatic Risk Management: Dynamic position sizing, automated stop-losses, and portfolio-level risk controls hardcoded into the architecture, alongside real-time logging. I would love to review your initial strategy parameters and outline the required data architecture. Let’s connect. Best regards, Gero.