QuantConnect

👉 Join Quant Trading Cohort → https://tim-sergeev.kit.com/cohort 🔗 Join AI Trading Circle → https://tiny.cc/ai-trading-circle AI trading | Claude Code | QuantConnect | live trading | monitoring | algorithmic trading Deploying a strategy is the easy part. Knowing whether it is still doing what you built it to do, weeks later, is the part nobody shows you. This is my actual monitoring routine for live QuantConnect strategies using Claude Code. I go through what I look at each day, how I compare live behaviour against what the backtest told me to expect, the signs that tell me something has drifted, and what I do when it has. This is not the setup, I covered that separately, and it is not just checking that something is switched on. It is everything after that. If you have strategies running right now and you are quietly unsure whether they are performing the way they should be, this is what that looks like in practice. This content is for educational purposes only and is not financial advice. Trading and investing involve risk and your capital is at risk. 0:00 Monitoring Automated Trading Performance 1:05 Building a Custom Telegram Integration 3:28 Analyzing Real-Time Performance Metrics 7:39 Managing Positions and Recent Trade History 8:43 Emergency Liquidation and Strategy Control #AITrading #ClaudeCode #QuantConnect #LiveTrading #AlgorithmicTrading #TradingAutomation

Today, we’ll do a full tutorial on using QuantConnect with Python. We’ll go through how to build and backtest trading strategies, run proper portfolio-level backtests, and understand how QuantConnect makes it easier to move from research to execution. It is one of the best platforms for serious algo traders because it combines coding, data, backtesting, broker integration, and live trading in one place. If you wish to download the codes, please optin in the link below. https://www.quantprogram.com/QC_Tutorial_Signup Chapters 00:00 Advantage of Quantconnect 03:00 Sign up and opening the lab 03:45 Default Template, Python Programming 04:45 Working in the Lab, Backtest, Live 05:30 Quantconnect Classes, Initialize, Ondata, Backtest 07:30 Results page 08:40 setmarketorder 09:30 Adding Indicators, Charts 13:35 set_warm up, is_warming_up , is_ready 18:12 Challenge 19:00 Debug, on_order_event 23:00 Strategy with indicators 25:49 Errors 30:00 Good Log practices 39:47 Challenge 41:20 RSI Indicator, Namings, Indicator Debugs 53:10 Stop Loss , Take profit, Slippage 01:07:32 Order Cancelled situation 01:10:25 First Realistic Strategy Backtest 01:13:50 Challenge 01:15:42 TradeBarConsolidator 01:25:00 Challenge 01:25:40 Dynamic Portfolio Universe, Adding and Removing from the Universe 01:30:10 Portfolio Backtest 01:33:25 Commissions & Leverage 01:35:20 Portfolio Backtest with Fundamental Data and Position Sizing Our Course's https://www.quantprogram.com/store Algorithmic Trading Python for Beginners - FULL TUTORIAL: https://youtu.be/GDMkkmkJigw Jim Simons Trading Secrets 1.1 MARKOV Process: https://youtu.be/gA0egjZcRB0 QuantConnect Full Tutorial 2024 - Worlds Best AlgoTrading Engine: https://youtu.be/Ets0xGCjQ14 Full Beginner Tutorial for Tradingview Pinecript: https://youtu.be/G4ErIBbUZOc RSI Strategy Backtested Pinescript: https://youtu.be/w1ETamJ8DcE Backtesting Pullback Strategy Pinecript: https://youtu.be/F_yGjiB0bro Stan Weinstein Strategy Pinecript code: https://youtu.be/Wodr4rCWzPw Create Stop Loss Take Profit Code: https://youtu.be/yP7qWD0JElo Creating Trailing stop Loss in Tradingview Pinescript: https://youtu.be/ZWyVF0fmGMs RSI divergence V4 Pinescript code: https://youtu.be/zCfMv_FxvME Donchian Breakout Pinescript Code: https://youtu.be/7fBlpT0YHpc Inside day Strategy Pinescript Code: https://youtu.be/_-QIv0KYnSM Bullish Engulfing Strategy Pinescript Code: https://youtu.be/JMEI9zbacbA Disclaimer: The contents provided in the channel are purely educational. We do not provide any financial or investment advice. There is a very high degree of risk involved in trading. Past results are not indicative of future returns. quantprogram.com and all individuals affiliated with this site assume no responsibilities for your trading and investment results. The contents, videos, columns, articles and all other features are for educational purposes only and should not be construed as investment advice.