WallStrBear | Beating the Market with Stats 🚢 @wallstrbear
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 bit.ly/3CWCRbT Join my FREE newsletter: Joined December 2021-
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@zhangji37 great video. if I may ask, how did you backtest location fees for shorting? does polygon provides historical fees?
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@Kinfo @zhangji37 great video. if I may ask, how did you backtest location fees for shorting? does polygon provides historical fees?
WallStrBear | Beating the Market with Stats 🚢 retweeted
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WallStrBear | Beating the Market with Stats 🚢 retweeted
I'm giving away my full day "1 Email a Day" workshop recordings FREE (it's how I earn $10 per subscriber per month). Workshop included everything from my formula for endless content, 3 day email launches, sexy subject lines, turning and turning email into recurring revenue. Filmed live from a coffee shop. Seriously. Want me to DM it you for FREE? Like, RT and comment "email" and I'll DM you the course (must be following)
WallStrBear | Beating the Market with Stats 🚢 retweeted
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🤝✅ (Must be following so I can DM)
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WallStrBear | Beating the Market with Stats 🚢 retweeted
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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
Pretty much my process to develop trading systems.
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.
WallStrBear | Beating the Market with Stats 🚢 retweeted
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! If you like Tweets about Trading Systems, you might enjoy my free newsletter: The Trading Stats Report Join 500+ subscribers. getrevue.co/profile/wallst…
4/ Annualized Volatility Vol = Standard Deviation * √252
1/ Change in Price Easy to calculate, the change in price over a number of days works well with other indicators: Vol = Close t - Close t-n days
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