Fundraising TRADING MARKETS – Programming in Python For Traders

Discussion in 'Video courses, trainings, educational material' started by Dron, 12 February 2024.

Stage:
collecting funds
Price:
22.00 USD
Participants':
2 of 2
Organizer:
Dron
50%
Settlement fee for participation:
12 USD
  • Participants of Joint purchase:
    1. quant_trader
    ,
    2. Jon S;
    Reserve list:
    1. (anonym)
    ,
    2. (anonym)
    ;
  1. Dron

    Dron Well-Known Member
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    #1 Dron, 12 February 2024
    Last edited: 23 March 2024
    TRADING MARKETS – Programming in Python For Traders

    Screenshot_70.jpg

    Do you already program in Python?
    Program in TradeStation?
    Do you program in Amibroker?
    Would like to learn to program?

    Python has become the hottest programming language on Wall Street and is now being used by the biggest and best quantitative trading firms in the world. We’re going to teach you the benefits of Python and how it can make you a more successful trader and allow you to build better trading strategies.

    Many of the top firms are now all requiring their traders and researchers to program in Python.
    The reason they’re doing this is they obviously believe Python is leading to greater trading profits.

    Here is What You Will Receive

    Class Outline

    Week One – You’ll gain the foundation in order to do your backtesting, research and signal generation.

    This foundation will lay the groundwork for you to scale into the upcoming weeks.

    Your homework will include learning how to do technical analysis calculations in Python including moving averages, RSI, and the other major technical indicators used by professionals.

    Week Two – You’re going to be backtesting in Python!

    You’ll be writing code in Python and testing strategies and signals to find market edges. For example, you’ll be writing code using a 2, 3, or 4 period RSI on various levels, such as RSI below 30, RSI below 20, etc.

    By the end of week 2, you’ll be able to test various market conditions (for example overbought and oversold conditions) and calculate the historical edges that exist in those conditions.

    Week Three – You’ll be writing full fledged trading strategies. This includes allocating capital to trades, adding risk management tools, and analyzing portfolio returns.

    At the end of Week 3, you will be able to run more advanced backtests of your trading ideas and strategies.

    Week Four – In Week 4 you’ll be analyzing your backtests. This includes analyzing your cumulative returns, analyzing your risk (drawdowns, volatility, etc.), analyzing correlations through time, and a deep dive into analyzing individual signals in order for you to see when and how to best optimize your trading strategies.

    Week Five – In Week 5 you’ll be writing more advanced backtests. This includes creating signal list generation and managing a portfolio of multiple securities. You’ll also learn advanced concepts on position sizing in order for you to optimize the edges you are finding in your strategies.

    By the end of this course you will have the ability to find your own market edges, build your backtest, and do a deep analysis of the test results.

     
  2. quant_trader

    quant_trader Active Member

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    @Jon S Sorry for delay, I just have paid. Now your turn.
     
  3. quant_trader

    quant_trader Active Member

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  4. quant_trader

    quant_trader Active Member

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    @Dron Should we not set a deadline for the remaining payment?
    This deal will not go through.
     
  5. Dron

    Dron Well-Known Member
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    there's one payment missing
     
  6. quant_trader

    quant_trader Active Member

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    I know that.
    Could you let him know that?

    Can't Addmin send him a message?
     
  7. GOODMEN

    GOODMEN Administrator
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    FUNDRAISING
     
    quant_trader likes this.
  8. quant_trader

    quant_trader Active Member

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