Data for Algo Traders

🚀 Backtest Any Crypto Futures Strategy with AI—No Coding Required! In this new lesson from my Delta Exchange Complete API Course, you’ll learn how to use AI to backtest futures strategies—without writing a single line of code. ✅ Test your trading ideas ✅ Analyse historical performance ✅ Save hours of manual work ✅ No programming experience needed Want to build and test smarter futures strategies? Subscribe to the complete course today! https://learn.datafortraders.in/learn/Algorithm-trading-Courses/AI-Trading-Lab

🎥 New Video Added to the Delta Exchange API Course! https://learn.datafortraders.in/learn/home/Algorithm-trading-Courses/Python-For-Algorithmic-trading/section/810100/lesson/5275816 In this video, we build a custom options dashboard using Claude AI + Delta Exchange API — a useful feature that isn’t directly available on the platform. A practical example of using AI + API + Python to build your own trading tools. 🚀 Next one : Backtesting

🚀 New Course Added: AI Trading Lab “परिवर्तन प्रकृति का नियम है।” 😄 The whole coding world is shifting toward Vibe Coding. In AI Trading Lab, I’ll keep adding practical content where AI + Trading + Coding come together - using AI to build, debug, analyze, automate, and experiment faster. जैसी जनता की डिमांड होगी, वैसा ही होगा। 😄 https://learn.datafortraders.in/learn/Algorithm-trading-Courses

🚀 What Should We Build Next with the Delta Exchange API? In my membership courses, we’ve now covered almost every major Delta Exchange API call and learned how each one works. With the foundations complete, it’s time to connect the dots. Next, I’ll use Claude Code to build a rule-based strategy, create a paper-trading system, and test it under live-market conditions for 1–2 weeks. I’ll track its trades, risk, behaviour, and honest results. Which strategy should I implement? Share the market, timeframe, entry, exit, and risk rules in the comments. Your idea could become our next hands-on course project!

My algo runs on the cloud. I manage my trades from Telegram. ☁️🤖 Here’s a quick look at my setup in the live market, how my code and Telegram bot work together to help me manage trades. Not a signals group. A custom system built around my workflow. Have a trading strategy you want to turn into a working system? DM me “ALGO” and let’s discuss your project. 🛠️ More on YouTube: @datafortraders — link in bio. System demo only, not investment advice. #algotrading #tradingautomation #telegrambot #pythontrading #datafortraders https://www.instagram.com/reel/Dc3NcFtoe19/?igsi=MTV6dW56cDhhMGF4cg==

📊 Candles show where the price moved—but Order Flow can reveal the buying and selling activity behind that move. Want to understand Buy/Sell Volume, Delta and Imbalances ? I’ve explained it in under 60 seconds. 🎥 Watch the complete video on Instagram: https://www.instagram.com/p/DcyC-_7oRyd/

Survivorship bias in backtesting : Its happens when we test a strategy only on stocks that are still trading today. This leaves out companies that performed badly, went bankrupt, or were removed from the stock exchange. Because those failed stocks are missing, the backtest may show better profits and lower risk than an investor would really have experienced. It is like judging a race by looking only at the runners who reached the finish line. A backtest should also include stocks that disappeared during the test period. Otherwise, we are studying only the survivors, and the results can give us false confidence. For visual explanation follow us on instagram : https://www.instagram.com/datafortrader/