One of the biggest challenges retail quant traders face is in the automation/execution. Its easy to perform backtest and other quantitative analysis and there are many softwares that allow this. Quantconnect solves this problem easily. With many famous brokers integrated to Quantconnect, going live is so easy with just a few clicks. Quantconnect is used by many systematic hedge funds as it servers as an algorithmic cloud based trading engine and hence forth you don’t need to pay for any cloud or create an engine which are both expensive and time consuming.

If you have no understanding of Python, please go through our full tutorial on Algorithmic Trading in Python 2023 Link below.
   • Algorithmic Trading Python 2023 - FUL...  

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Chapters
00:00 Intro
00:24 Advantage of Quantconnect
01:40 Cloud
02:15 Live Trading Capabilities
02:52 Supported Brokers
04:30 Basic Intro Codes
06:45 Initialize, OnData and other Built in Functions
07:45 Running a Code & Results Window
10:00 SetHoldings vs MarketOrder
11:15 Debug ,Average Price, Logs
14:15 CHALLENGE 1
15:40 Adding Indicators
17:00 Plotting
20:00 Warming Up Indicators using SetWarmUp
21:00 Entry and Exit Conditions
24:50 Good Log Practices
29:00 CHALLENGE 2
30:15 RSI indicator
34:05 Filled price, OnorderEvent, OrderID, OrderFee
40:40: CHALLENGE 3
41:40 Stop Loss Type 1 and 2
48:29 Take Profit
49:38 Realistic Official Backtest
51:50 CHALLENGE 4
53:55 Codes for the Video
54:08 Coding Services Fivver or Upwork
54:20 Trader Consolidator or Custom Bar
01:04:48 Strategies with Custom Bar
01:15:00 CHALLENGE 5
01:15:45 Dynamic Universe or Portfolio Backtesting
01:19:00 Filtering types of Stocks
01:25:00 Example Strategy for Portfolio
01:28:50 Course Strategies Performance
01:32:00 Make a strategy go Live
01:33:58 Leverage
01:36:50 Optimization(No example)
01:38:30 Monte Carlo Simulation For Course Strategy
01:41:20 Fees & commission
01:43:00 CHALLENGE 6


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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.