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WallStrBear | Beating the Market with Stats 🚢
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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
Join my FREE newsletter: Katılım Aralık 2021
194 Takip Edilen650 Takipçiler

@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?
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New episode of Undiscovered Traders is LIVE 🎙️
@zhangji37 quit Google, built a fully automated strategy, and made +450k in 18 months.
Watch here 👉youtu.be/FhEq6dKNYqY
#trading #stocks #automatedtrading #kinfo #ArtificialIntelligence

YouTube

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@NicholasVerge @blackhatwizardd 4Creators
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WallStrBear | Beating the Market with Stats 🚢 retweetledi

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)

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@KindOfProductiv @JordanDParker_ it really is. I'm impressed
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@JordanDParker_ @PathToIkigai this app could be paid
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@JordanDParker_ @PathToIkigai it's like you're using a new app
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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.
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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
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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.
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WallStrBear | Beating the Market with Stats 🚢 retweetledi

That's it!
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