WallStrBear | Beating the Market with Stats 🚢

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

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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

Join my newsletter to learn how you can use systems to develop winning trading strategies

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@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 🚢 @wallstrbear]

@Kinfo @zhangji37 great video. if I may ask, how did you backtest location fees for shorting? does polygon provides historical fees?

[Toby @TobyWalleruk]

If you run Meta ads.

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@TobyWalleruk UGC

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@_ryanlee email

[Ryan Lee @ryanleeshow]

I'm giving away my full day "1 Email a Day" workshop recordings FREE (it's how I earn $10 per subscriber per month).

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[Shea Campbell @scalewithshay]

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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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@builtbysegdae Model

[Sebastian Rózga @sebrozga]

You can print $1,000s from Twitter on autopilot.

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@KindOfProductiv @JordanDParker_ it really is. I'm impressed

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@JordanDParker_ @PathToIkigai this app could be paid

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@JordanDParker_ @PathToIkigai it's like you're using a new app

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

@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.

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

Pretty much my process to develop trading systems.

[PyQuant News 🐍 @pyquantnews]

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 🚢 @wallstrbear]

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:

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

That's it!

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[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

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

[WallStrBear | Beating the Market with Stats 🚢 @wallstrbear]

4/ Annualized Volatility

Vol = Standard Deviation * √252