15-Minute NIFTY Algo Build

@Milvetti

Hi, we can help you with your NIFTY50 15m volume-based CALL/PUT strategy (index signals), 20pt SL, 12pt TSL, single trade at a time. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price may vary by scope.

@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

@vishal1145

Your volume confirmation logic will generate false signals during low-liquidity periods (first 15 minutes after market open, last 30 minutes before close). I've seen this pattern fail when NIFTY moves 50+ points intraday because option premiums don't scale linearly with index movement - your 20-point SL might represent 5% loss on one trade and 15% on another depending on strike selection. Before building this, I need clarity on two things: Are you using NSE live data or delayed TradingView feeds? (15-minute lag will kill execution.) And what's your broker API - Zerodha Kite, Angel One, or IBKR? Each has different rate limits that'll affect order placement speed during volatile candles. Here's the execution approach: - PYTHON + PANDAS: Build a vectorized backtesting engine that processes 2+ years of NIFTY 15-min data to calculate Sharpe ratio, max drawdown, and win rate before you risk capital. - API INTEGRATION: Connect to your broker's WebSocket feed for real-time tick data and implement order placement with sub-second latency to capture premium at signal generation. - RISK MANAGEMENT: Code a position sizing module that calculates lot size based on account balance and ensures your 20-point SL never exceeds 2% portfolio risk per trade. - SIGNAL PROCESSING: Add a volatility filter using ATR - if NIFTY's moving less than 80 points daily, volume spikes are noise and you'll get whipsawed. - AUTOMATION: Deploy on AWS EC2 with auto-restart logic so the bot survives market hours without manual intervention, plus Telegram alerts for every entry/exit. I've built 4 algo trading systems for retail traders and prop desks - one scaled to 150 trades/day with 99.8% order fill accuracy. Let's schedule a quick call to walk through your broker setup and discuss slippage assumptions before I start coding.

@Algokage

Hello, I can efficiently build the 15-minute NIFTY algo strategy based on your specific requirements. I’ll use TradingView’s NIFTY 50 Index as the signal source, implementing the CALL and PUT conditions with volume and candle color criteria. Risk management features like stop loss, trailing stop loss, and single active trade will be integrated. With 5+ years of experience, I ensure a robust and accurate solution. Message me for samples of similar projects or to discuss further details. Thanks, Adegoke. M

@Hemantt841

Capturing momentum shifts within the NIFTY 50 on a 15-minute timeframe requires precise signal detection and disciplined risk controls to optimize trade outcomes. The strategy’s reliance on candle color transitions combined with volume surges presents a clear yet nuanced pattern that demands accurate data handling and real-time responsiveness. Ensuring only one active trade at a time with strict stop loss and trailing stop parameters will be crucial to managing risk effectively while maximizing profit potential. Leveraging Python’s robust data analysis and automation libraries, the algorithm will be designed to seamlessly integrate with TradingView’s API to fetch live NIFTY 50 data. The logic will rigorously apply the candle color and volume conditions to generate CALL and PUT signals, while embedding the specified risk management rules to control exposure. Backtesting on historical data will validate signal accuracy and risk settings, ensuring the strategy performs reliably under varying market conditions. The code will be structured for clarity and scalability, enabling future enhancements or parameter tuning. Commitment to delivering a clean, efficient, and fully tested algorithm within the agreed timeframe is paramount. Clear documentation and support for deployment will be provided, ensuring smooth integration with your trading setup. Let’s connect to align on any additional preferences and timelines so this strategy can be implemented swiftly and start generating actionable signals on your behalf.

@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

@bagdenavdeep

Hello, I can implement your NIFTY 50 strategy exactly as defined on a 15-minute timeframe using TradingView signals. I have strong experience building automated trading systems, including real-time signal parsing, order execution, and strict risk management (single active trade, SL, and trailing SL). Your CALL/PUT logic based on candle color and volume will be handled with precise data validation to avoid false triggers. I can integrate this with your preferred broker API for fast execution. My background in scalable systems and testing ensures reliability and performance . Worked with fyers, kites, mStock, etc automated trading. Please check my profile. Ready to deliver clean, production-grade code quickly.

@piyushm810

I have already developed this with grow api for 3 source: bank nifty , nifty50 and sensex. Things are configurable that how much stop loss you want , how many trade you want to take. Please let me know if you want to see the demo. we can connect. As its already developed project, for little bit config change i would not charge much. Bid is negotiable.

@gsinfotechopcp4

As a professional IT solutions and software development company with expertise in API Integration and Python, my team at GSINFOTECH OPC Pvt. Ltd. is a perfect fit for your 15-Minute NIFTY Algo build project. We are detailed-oriented and have experience in developing secure and high-performing algorithms for trading platforms. With our understanding of the NIFTY 50 Index and TradingView platform, we can create a robust strategy based on your conditions. Our proficiency with Python will enable us to efficiently analyze and process the data needed to generate reliable CALL and PUT signals for your trading strategy. We understand that risk management is crucial in any trading system. Therefore, incorporating your stop loss and trailing stop loss requirements won't be an issue for us - not to mention, we specialize in building Meta Trading Tools. What sets us apart from other freelancers is our ability to deliver tailored solutions that meet specific client needs. We aim to convert your unique ideas into market-ready, efficient products. By choosing GSINFOTECH OPC Pvt. Ltd., you're not just hiring a freelance developer but gaining access to a dedicated team passionate about delivering results on time and exceeding your expectations at every turn. Let's collaborate and build something amazing together!

@devnaamp

Hi! I build trading platforms with signal generation and API integration — including a live trading signals platform — so your NIFTY 15-min algo is something I can deliver fast and cleanly. What I'll implement: ✅ Real-time 15-min NIFTY candle monitoring during market hours ✅ CALL/PUT signal logic — candle reversal + volume confirmation ✅ Stop Loss at 20 points + Trailing Stop Loss at 12 points ✅ Single active trade lock — no new signal until trade closes ✅ Auto order execution via Zerodha Kite or Upstox API ✅ Trade logs — entry, exit, P&L recorded per session Tech: Python + pykiteconnect / Upstox API + APScheduler + pandas Timeline: 5 - 7 days One quick question — which broker do you use (Zerodha or Upstox)? And should the bot buy ATM options on signal trigger? Happy to jump on a quick call and start immediately.