I teach you how to use stats to find an edge in the market. Sharing insights on trading strategies, backtest and stats. Algo trader with +47 strategies running
Trading Systems don't guarantee results
They make great results more likely when you learn how to properly backtest
And learning how to backtest is just one piece of the trading puzzle
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Naval, Buffet & Musk use mental models daily to solve problems and make better decisions.
I've created a Notion doc breaking down 30+ mental models that’ll help you do the same.
Simply RT + comment "Model" and I'll send you the Library🤝✅
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@IcarusTrader@buildalpha@dyjh@Covel @PythonWithRune @quantpedia@lb_ASC Build Alpha is solid.
I don't get a penny to promote it but since I bought the platform I do spread the word because it's good.
I improved the robustness of most my trading strategies using it.
If you want to sharpen your trading game for 2023, then learn from:
@dyjh → Algo Trading
@Covel → Trend following
@PythonWithRune → Python
@quantpedia → Trading ideas
@lb_ASC → Algorithmic Short-Selling
@buildalpha → Algo Trading Strategies
A framework for algorithmic trading:
1. Hypothesis formation: Generate ideas, collect data, analyze
2. Experiment setup: Backtest, test the backtest, iterate
3. Measure results: Risk and performance metrics
4. Execution: Paper trade, tandem trade, automate
Do it with Python.
Most of my trading systems use volatility factor to exploit an edge.
But not every measure of volatility plays the same game.
Here are 4 practical measures of volatility that I use:
That's it!
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