Algoritma Perdagangan Untuk Indeks Nifty dan Bank Nifty

@anirudhat

Untuk strategi intraday trend-following pada Nifty dan Bank Nifty, kuncinya bukan hanya sinyal masuk, tapi manajemen risiko yang ketat dan hasil backtest yang benar-benar bisa Anda reproduksi di komputer sendiri. Saya akan bangun di Python dengan logika trend-following yang jelas (misalnya EMA/breakout dengan filter tren dan konfirmasi), aturan masuk-keluar yang terdokumentasi, plus stop-loss, target, dan batas risiko per hari yang bisa Anda atur lewat file konfigurasi. Backtest saya jalankan pada data historis intraday yang representatif, dengan memperhitungkan biaya dan slippage supaya metriknya (win rate, profit factor, max drawdown) realistis, bukan angka indah yang menyesatkan. Semua saya serahkan sebagai kode sumber rapi dan berkomentar, laporan backtest, dan panduan langkah demi langkah agar hasilnya sama persis saat Anda jalankan sendiri. Saya bisa mulai segera.

@engruhulajom

Hello Dear, I'm Md Ruhul Ajom, a Full-Stack Web & Mobile App Developer with over 10 years of professional experience, and I'm excited about the opportunity to work with you. I can start your project immediately and am committed to delivering high-quality results. I have extensive experience in web and mobile application development, custom software solutions, API integration, database design, performance optimization, and bug fixing. My expertise includes React, Vue.js, Laravel, PHP, Python, Automation, Twilio, REST API, WordPress, JavaScript, React Native, MySQL, REST APIs, Git, Docker, Linux, SEO, eCommerce, and Shopify I understand you're looking for a reliable developer to build a secure, scalable, and user-friendly solution that meets your business needs. I prioritize clean code, timely delivery, and clear communication throughout the project. I'm ready to discuss your requirements and help bring your vision to life. Best regards, Md Ruhul Ajom

@mikes126

Hi there, let's have short meeting if you wanna discuss the Nifty & Bank Nifty trading algo. I can build a clean, ready-to-run intraday trend-following system with clear entry/exit rules, strict risk management, and proper position sizing. I can use Python or C/C++ based on your preference. I’ll also provide: * Complete commented source code * Historical backtest with key metrics * Reproducible backtest setup * Simple step-by-step installation and usage guide * Documented strategy logic so signals match the code I’ll keep the code modular so it’s easy to test, modify, and run on your machine. I can also make sure the backtest avoids common issues like look-ahead bias and unrealistic execution assumptions. Budget: $450 Timeline: 7 days

@roell3

Hello The hardest part is usually aligning data quality, evaluation, and production monitoring with real-world latency and compliance constraints. Integration with existing systems and clear ground truth often drive most of the early risk. What does the current stack look like for ingestion and deployment? Are there SLAs or compliance boundaries I should plan around? Is the work batch-only or does it require real-time inference? Looking forward to learning more about the architecture.

@venplura

Hi there! Quick question - are you looking to connect this algo directly to a live broker API, or do you mainly need a backtesting system that you can manually execute trades from? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. kind regards, Corné