Intraday Nifty Trend Algo

@ashinnd84

Hi, Your project "Intraday Nifty Trend Algo" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: Algorithmic Trading, Backtesting, C Programming, C++ Programming, Financial Analysis, Python, Software Architecture, Trading. My bid is ₹31875, within your ₹12500-37500 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@vishal1145

Your trend-following logic will fail in choppy sideways markets if you don't filter out low-volatility periods before entering trades. Without a regime detection layer, you'll rack up losses during consolidation phases that eat into your trending profits. Quick questions - are you planning to run this on Zerodha Kite API or another broker's infrastructure? And what's your acceptable max drawdown threshold before the algo should flatten all positions? Here is the architectural approach: - BACKTESTING: Build vectorized backtest in Python using historical NSE data with realistic slippage assumptions and transaction costs baked into every signal. - RISK MANAGEMENT: Implement position sizing based on ATR so your stop-loss adapts to current volatility rather than using fixed-point stops that get hit prematurely. - ALGORITHMIC TRADING: Deliver production-ready code with API integration, order execution logic, and fail-safe mechanisms that halt trading if connectivity drops or margin limits are breached. I've built 4 algo trading systems for prop desks that processed 200+ trades daily without manual intervention. Let's schedule a 20-minute call to walk through your broker API setup and confirm execution requirements before I start coding.

@mahads31

I understand your need for a highly efficient algorithm to trade Nifty and Bank Nifty on an intraday basis. My extensive experience in building trading algorithms and systems, combined with my knowledge of C++ and Python, make me the best fit for this project. I've successfully translated complex strategies into clean, well-commented code to ensure easy integration into trading setups. Furthermore, I prioritize reliability and usable outputs, which aligns perfectly with your requirements. My back-testing reports are not only concise but also comprehensive, enabling you to have a clear picture of the strategy's performance over time. Additionally, as part of my delivery, I always provide detailed setup instructions to ensure smooth implementation on your end. Lastly, as a long-term technology partner with a focus on client satisfaction and growth, I go above and beyond simply executing the task at hand. By leveraging Cloud Infrastructure and deploying AI Automation where applicable, I help build solutions that are future-proof and scalable. Let's collaborate to turn your trend-following approach into a successful Nifty-trading strategy!

@prashanpatel557

Hello, I can develop the complete intraday Nifty & Bank Nifty trend-following algorithm with clean, modular code, proper entry/exit logic, risk management, and reproducible backtesting. I have strong experience with Python, Pine Script, Indian markets, broker APIs, strategy development, and backtesting. I can structure the system so the strategy logic remains easy to modify and deploy. Deliverables: • Complete ready-to-deploy source code • Nifty & Bank Nifty intraday trend-following logic • Entry, exit and risk-management implementation • Historical backtesting with performance metrics • Trade-by-trade/equity-curve analysis • Reproducible backtest configuration • Setup and deployment documentation Before development, I would review your exact strategy rules and data requirements to avoid assumptions. I can also implement the solution in Python if you need a backend-ready algorithm, or Pine Script if TradingView execution is preferred. Estimated timeline: 5–7 days, depending on strategy complexity and historical data availability. I can start by reviewing the documented rules and confirming the backtesting methodology before implementation.

@NEHABHAT92

As a seasoned professional with 9+ years of experience in web and mobile app development, I have honed my coding skills and become a specialist in Python - the language of choice when it comes to intricate algorithmic trading. This makes me the perfect fit for your project of implementing a robust back-testing algorithm for intraday Nifty trading using trend-following strategies. My proficiency in Python will allow me to seamlessly translate your strategy into clean, efficient, and well-commented code. Furthermore, to ensure the effectiveness of my implementation, I’ll run comprehensive back-tests using all representative historical sample available. I understand the importance of consistent performance metrics and guarantee that the signals on your machine will align faultlessly with the documented logic. In addition to my coding skills, I also want to highlight my commitment to excellent client service. I don't want to just productively complete this project but also provide all necessary setup instructions required for running the finished strategy on your end without any hurdles.I hope you consider these points when making your decision and look forward to potentially collaborating with you soon. Thank you.

@Jennycreation

Hello Sir, I have already worked on many cryptocurrency trading systems and automated trading platforms, and I can handle your project according to your requirements. I can also show you a demo of my previous work. I am a full-time freelancer with **17+ years of experience** in C# software development, trading automation, and financial API integration. My experience includes: * Binance and Bybit API integration * MT4 and MT5 trading automation * C# copy trading software * Arbitrage trading (Binance ↔ Bybit) * Automated Buy/Sell/Square Off * Portfolio and position management * Margin and risk management * Trading bots and strategy automation I have developed a **C# Copy Trading Software** that copies trades from a master account to multiple child accounts using the official Binance and Bybit APIs. I have also built automated trading platforms using **Zerodha Kite API, Alice Blue API, Angel One API, and Profitmart API**, including order execution, position management, and automated strategy execution with AmiBroker integration. I can start immediately and deliver a secure, scalable, and reliable trading solution. Please contact me in private chat so we can discuss your project in detail. I will be happy to show you live demos of my trading projects. Thanks & Regards

@prabhathk5

Hi Sir Hope you doing well! 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.

@Algokage

Hello, I hope you're doing well. I am an experienced algorithmic trading developer with over 4 years of expertise in building and deploying trend-following strategies for indices like Nifty and Bank Nifty. I understand you need a complete, ready-to-deploy algorithm with clean, well-commented code, robust back-testing, and clear setup instructions. I can deliver a solution that translates your trend-following logic into a functional strategy, ensuring the code executes flawlessly, signals align with the documented rules, and back-test results are reproducible on your setup. I always provide clean, well-documented code and thorough back-test reports. Send me a message, and we can discuss your specific requirements further. Thanks, Adegoke M.

@FreeLancers360

As an experienced Full Stack Developer, I am well-equipped to handle your Intraday Nifty Trend Algo project from start to finish. Having worked extensively on web applications, custom software development, and AI-powered solutions, my skills translate directly to your needs. With a primary focus on providing clean code and seamless user experiences, I am confident in delivering the exact product you seek. Beyond just writing code, I specialize in strategic thinking and problem-solving - crucial skills for translating your trading strategy into a highly functional algorithm. In addition to Python expertise for coding purposes, I boast proficiency in C and C++, which contribute to my strong software architecture foundations - skills that will ensure not only correct execution but also an efficient and secure final product. Furthermore, my commitment stretches beyond mere delivery. I understand that a job of this nature demands ongoing support and maintenance as the trading environment evolves over time. This is why,I am ready to offer long-term maintainability alongside my comprehensive initial offering including clear setup instructions, reliable backtesting, and clean comments throughout the code. Transparency and open communication are keystones of my working style. By choosing me for this project, you are not simply hiring a pair of coding hands; you’re selecting a dedicated team member who will coll.

@TechizeBuilder

Dear Client, I read "Intraday Nifty Trend Algo" carefully and understand you want a job portal that connects employers and candidates effectively. My hands-on experience with C Programming, Python aligns directly with what you need. I've built recruitment platforms with job posting, resume upload and search, filters, applications tracking and employer dashboards — fast search is what makes these portals win, and mine are fast. A few quick questions to get us started: 1. Will employers post jobs directly, or will admins manage listings? 2. How will it earn — featured jobs, resume database access, subscriptions? 3. Which region/industry are you targeting first? Thanks & Regards, Deepak

@ziedb4

Hi, I can build this. Important note upfront based on direct experience: pure trend-following signals often don't hold up under rigorous backtesting with real tick/historical data — I've seen this firsthand on other instruments where a clean-looking trend signal produced a profit factor below 1.0 once tested properly. So my approach will prioritize honest validation over a backtest that just looks good on paper. My process: Implement the full entry/exit/risk-management logic in Python (pandas/backtrader or similar) for clean, auditable code. Backtest on a representative historical sample of Nifty/Bank Nifty intraday data — reporting PF, drawdown, and win rate transparently, including if the edge is weak or the strategy underperforms buy-and-hold, rather than only showing favorable windows. Deliver clear setup instructions so you can run it independently, plus the source code and backtest report as specified. Since acceptance depends on the backtest reproducing my stated metrics on your machine, I'll make sure the logic is deterministic and fully documented — no hidden parameters or lookback windows that behave differently outside my environment. If the strategy as pure trend-following doesn't show a real edge in testing, I'll tell you that directly rather than deliver something that looks good but won't hold up live — that's the standard I hold my own work to.

@Hrolgar

Nifty and Bank Nifty 1-minute bars from most vendors timestamp the open of the candle, not the close, so a backtest that fills orders on the same bar it signals on is quietly trading on data that didn't exist yet. That single bug is why so many trend systems look great in a report and lose money live, and it's the first thing I check before writing a line of strategy logic. I'd build this as a vectorized Python backtest over pandas and numpy rather than a Pine Script strategy, so every fill, stop, and target is a line you can read and audit, not a black box running on TradingView's own execution assumptions. Entries and exits execute strictly on the next bar after signal, slippage and brokerage get modeled explicitly, and position sizing ties to your stated risk per trade rather than a fixed lot count. The report covers equity curve, drawdown, win rate, and a per-trade log against several years of historical data, and the setup docs walk through reproducing those exact numbers on your own machine with the same data source, so nothing shifts when you rerun it. M1: strategy spec coded, historical data pulled and cleaned, 10500 INR, 1 day. M2: vectorized backtest engine and risk management, full run across history, 14000 INR, 2 days. M3: backtest report, metrics validation, local setup docs, 7375 INR, 1 day. Send over your preferred data source and risk per trade and I'll have a tighter build plan back tomorrow.

@alluankit01

Hi, I can build your intraday Nifty and Bank Nifty trend-following algorithm with clean source code, risk-management rules, backtesting, and setup documentation. My approach will be to first review your exact entry, exit, timeframe, position sizing, stop-loss, target, trailing logic, and max-loss rules. Then I’ll implement the strategy in Python, Pine Script, or your preferred platform and validate signals through historical backtesting. I’m comfortable with Python, Pine Script, algo trading logic, Nifty/Bank Nifty strategies, trend-following systems, backtesting, risk controls, signal validation, and clear code documentation. Deliverables: * Complete strategy source code * Entry and exit logic * Risk-management rules * Stop-loss/target handling * Backtest implementation * Performance summary report * Setup/run instructions * Well-commented code * Signal verification support I’ll focus on clean execution, reproducible backtest results, and making sure the signals match the documented logic. I will not promise guaranteed profits, but I will ensure the algorithm follows your rules accurately and runs without errors. Best regards Ankit

@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

@naeem1114

When Nifty opens with a sudden gap, the trend signal can fire before the market stabilizes, leading to false entries. I'll add a pre-filter that checks the first 5-minute candle volatility and only activates the trend logic after a confirmed direction. The code will be modular so you can drop it into your existing Python trading framework without changes. A common pitfall is assuming that past intraday patterns hold across holidays, which can skew back-test results. I’ll use vectorized pandas calculations and a lightweight C++ extension for speed, delivering clean, commented Python scripts. You’ll be able to run the strategy on your machine right away, and I’m ready to start immediately.

@MKCHAND

Hi, see my portfolio first. I am the master of trading bots automation. First of all see my work then provide your valuable project to me. I can easily create your desired trading system automation. Let’s discuss further on chat.

@thiagofoz87

I can deliver a complete intraday trend-following trading algorithm for Nifty and Bank Nifty with production-ready code, reproducible back-tests, and deployment guidance. The key part of this project is not only generating signals, but implementing the strategy in a way that is deterministic, testable, and easy to maintain. I would structure the solution with clearly separated modules for signal generation, position sizing, stop-loss/trailing logic, session filters, and execution rules so the behavior is transparent and reproducible during validation. For the back-testing layer, I can provide historical performance metrics such as win rate, drawdown, profit factor, expectancy, and equity curve analysis over representative market periods. The implementation will include parameter configuration and logging so you can validate trades and reproduce the same results locally. I can build this in Python or Pine Script depending on your execution environment and preferred workflow. If Python is selected, the delivery can include a structured project layout, dependency file, and instructions for running the strategy and tests on your machine. The final delivery will include: - Fully commented source code - Entry/exit and risk-management implementation - Back-test report with metrics - Setup and execution instructions - Validation support to ensure reproducibility Estimated delivery: 5 days for a complete first version with testing and documentation.

@Cruz1217

The biggest hidden risk in a pure trend‑following Nifty algo is slippage during rapid price spikes. I'll code the strategy in Python, using pandas for fast data handling and numpy for vectorized entry‑exit calculations. A thin wrapper will push signals to your broker API so you can plug the script directly into your setup. A common mistake is testing on end‑of‑day candles, which hides intraday noise and leads to over‑optimistic results. You’ll receive fully commented code, a concise back‑test report, and clear instructions to run it on your machine.

@Gurpreetsing343

Drawing on my extensive experience in software development, particularly in C++ and Python, I am confident that I can design an algorithm that precisely aligns with your expectations for your Intraday Nifty Trend Algo project. I have a proven ability to analyze complex financial scenarios and develop powerful, reliable solutions accordingly - something I am certain your project will benefit from. In terms of back-testing and data interpretation, my skills and expertise further strengten my suitability for this job. My company, GSINFOTECHH OPC Pvt. Ltd., spécialises in delivering secure, scalable, and high-performance digital solutions for startups and enterprises – ensuring our clients like you immensely gain from our broad-based proficiency. To comply with your requirements, I will furnish clear setup instructions to ensure easy integration into your trading system. Finally, when it comes to execution, accuracy is paramount - a commitment I guarantee. Not only will the code execute without errors, but the signals will also flawlessly align with the documented logic and metrics. And if you require any tweaks moving forward, expect dedicated support from my team as well as flexibility in pricing to meet your changing needs. Let's dissolve the complexities of trading algorithms together by turning receiving these into concise code format you can readily apply in your trading endeavours.