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Chapter 2 NASDAQ ITCH Data
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3
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868
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January 19, 2024
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07_backtesting_with_zipline.ipynb missing train key in predictions.h5
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0
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121
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January 17, 2024
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P and Q are not keys of itch.h5
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2
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223
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January 16, 2024
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Introduction and Weekly Meeting Arrangement
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39
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2461
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January 11, 2024
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Zipline of cryptocurrency data: run_algorithm
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0
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178
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January 8, 2024
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Utilizing Millions Of Trading Data To Develop Algorithm
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0
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172
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January 5, 2024
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|
Fama-Macbeth Model - Insignificant P-Value
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0
|
114
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January 2, 2024
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Zipline installation issue on jupyter
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0
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208
|
January 2, 2024
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Variable feature length
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0
|
124
|
December 16, 2023
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Chapter 2 - Recommended Anaconda Environment (Win11)
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0
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148
|
December 12, 2023
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Cryptocurrency Trading with ML
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6
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963
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December 8, 2023
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Becoming a Crypto Quant
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5
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281
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December 7, 2023
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Algorithmic trading on DEX and cryptocurrency markets
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1
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729
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December 4, 2023
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Chapter 2 02_market_and_fundamental_data
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1
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214
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November 15, 2023
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Error when using zipline
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5
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532
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November 6, 2023
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Requesting Assistance Understanding Zipline Code Block
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0
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162
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November 5, 2023
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ValueError: 'date' is both an index level and a column label, which is ambiguous
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3
|
3800
|
November 4, 2023
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|
How are Dividends handled?
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0
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192
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November 1, 2023
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Dependencies needed to install zipline in editable mode
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1
|
219
|
October 31, 2023
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|
Algo Performance 10% Capital Kept Uninvested
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0
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196
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October 30, 2023
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Difficulty downloading and processing data
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0
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254
|
October 27, 2023
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Inconsistency in chapter about 101 formulaic alphas; data issues
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0
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280
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October 27, 2023
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Cannot create data.h5 for 03_101_formulaic_alphas.ipynb
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0
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176
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October 24, 2023
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Wrong value received in the parameter for `start` although I passed valid date
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0
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232
|
October 23, 2023
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|
Book 3rd edition
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1
|
568
|
October 16, 2023
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ValueError: Parameter `start` received with timezone defined as 'UTC' although a Date must be timezone naive
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0
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185
|
October 11, 2023
|
|
What happen to the Collaboration Group
|
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0
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229
|
October 10, 2023
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|
Lean (Quant Connect) vs. Zipline-reloaded
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8
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4686
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September 27, 2023
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How can I ingest 1-minute E-mini S&P custom data?
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0
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234
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September 21, 2023
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How to us ML for trading - Beginner
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0
|
266
|
September 18, 2023
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