My Drive DataThe Wall Street Quants BootCamp
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01.Quant Overview
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02.Coding Overview - Setup
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03.Python
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04.Numpy
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05.Pandas Series
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06.Pandas DataFrames
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07.More Pandas
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08.More Pandas - Part 2
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09.Data
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10.Performance Evaluation
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11.Performance Evaluation - Part 2
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12.Weighting
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13.Weighting - Part 2
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14.PythonWeights
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15.Backtesting
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16.PythonUnconBacktest
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17.Event Strategies
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18.Value
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19.Momentum
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20.Reversal
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21.Execution
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22.Class Project
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23.Risk
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24.Quant Crypto Strategies
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25.Optimization
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26.Trading Library
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27. Quant Research Pitfalls
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28. Conclusion
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My Drive DataThe Wall Street Quants BootCamp01.Quant Overview
1. Quant Overview Part 1.mp4
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69.4 MB
2. Quant Overview Part 2.mp4
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349.6 MB
3. Quant Overview Part 3.mp4
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253.8 MB
My Drive DataThe Wall Street Quants BootCamp02.Coding Overview - Setup
1. Overview.mp4
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203.7 MB
2. Setup.mp4
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87.1 MB
3. PythonSetup.docx
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349.2 KB
My Drive DataThe Wall Street Quants BootCamp03.Python
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2. PythonJupyterCode
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1. Code Examples.txt
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353 B
3. Variables.mp4
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31.9 MB
4. Numbers.mp4
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20.1 MB
5.Strings.PNG
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12.2 KB
5.Strings.mp4
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93 MB
6. Booleans.PNG
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12.5 KB
6. Booleans.mp4
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38.7 MB
7.Lists.PNG
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13.2 KB
7.Lists.mp4
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62.4 MB
8.Dicts.PNG
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14.9 KB
8.Dicts.mp4
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46.2 MB
9.Functions.mp4
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64.9 MB
10.IFElse.mp4
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31.4 MB
11.Loops.mp4
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28 MB
12.SyntacticSugar.mp4
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26.5 MB
13.PythonQuiz.pdf
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40.1 KB
14.Homework1 - Cópia.ipynb
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4.7 KB
15.Homework1_Solutions - Cópia.ipynb
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3.8 KB
My Drive DataThe Wall Street Quants BootCamp03.Python2. PythonJupyterCode
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.ipynb_checkpoints
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Booleans.ipynb
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2 KB
Dictionaries.ipynb
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2.6 KB
Functions.ipynb
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2.8 KB
IFElse.ipynb
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2.1 KB
Lists.ipynb
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3.5 KB
Loops.ipynb
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2.2 KB
Numbers.ipynb
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1.7 KB
Strings.ipynb
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4.5 KB
SyntacticSugar.ipynb
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1.8 KB
Variables.ipynb
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1.9 KB
My Drive DataThe Wall Street Quants BootCamp03.Python2. PythonJupyterCode.ipynb_checkpoints
Functions-checkpoint.ipynb
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2.8 KB
Numbers-checkpoint.ipynb
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1.7 KB
Strings-checkpoint.ipynb
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4.5 KB
Variables-checkpoint.ipynb
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1.9 KB
My Drive DataThe Wall Street Quants BootCamp04.Numpy
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2. Code Examples - NumpyJupyterCode
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1. Code Examples - Cópia.txt
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312 B
3. NumpyIntro.mp4
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25.4 MB
4. ArraysBasicOperations.PNG
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13 KB
4. ArraysBasicOperations.mp4
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55.9 MB
5. ArrayIndexing.mp4
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41.4 MB
6. NumpyFunctions.PNG
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14.5 KB
6. NumpyFunctions.mp4
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69.6 MB
7. NumpyLinalg.mp4
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18.4 MB
My Drive DataThe Wall Street Quants BootCamp04.Numpy2. Code Examples - NumpyJupyterCode
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.ipynb_checkpoints
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ArrayIndexing.ipynb
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3.6 KB
ArraysBasicOperations.ipynb
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4.3 KB
NumpyFunctions.ipynb
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243.8 KB
NumpyIntro.ipynb
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1.5 KB
NumpyLinalg.ipynb
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78.1 KB
My Drive DataThe Wall Street Quants BootCamp04.Numpy2. Code Examples - NumpyJupyterCode.ipynb_checkpoints
ArrayIndexing-checkpoint.ipynb
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3.5 KB
ArraysBasicOperations-checkpoint.ipynb
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4.3 KB
NumpyFunctions-checkpoint.ipynb
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243.4 KB
NumpyIntro-checkpoint.ipynb
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1.5 KB
NumpyLinalg-checkpoint.ipynb
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78.1 KB
My Drive DataThe Wall Street Quants BootCamp05.Pandas Series
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1.SeriesJupyterCode
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2.Construction.mp4
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34.7 MB
3.RetrieveAndModify.PNG
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14.7 KB
3.RetrieveAndModify.mp4
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45.4 MB
4.DataAnalysis.PNG
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11.9 KB
4.DataAnalysis.mp4
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52.6 MB
5.Alignment.PNG
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20.3 KB
5.Alignment.mp4
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40.5 MB
My Drive DataThe Wall Street Quants BootCamp05.Pandas Series1.SeriesJupyterCode
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.ipynb_checkpoints
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Alignment.ipynb
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3.2 KB
Construction.ipynb
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2.5 KB
DataAnalysis.ipynb
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4.2 KB
RetrieveAndModify.ipynb
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8.2 KB
My Drive DataThe Wall Street Quants BootCamp05.Pandas Series1.SeriesJupyterCode.ipynb_checkpoints
Alignment-checkpoint.ipynb
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3.2 KB
Construction-checkpoint.ipynb
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2.5 KB
DataAnalysis-checkpoint.ipynb
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4.2 KB
RetrieveAndModify-checkpoint.ipynb
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8.2 KB
My Drive DataThe Wall Street Quants BootCamp06.Pandas DataFrames
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1.DataFrameCode
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2.Construction.PNG
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13.1 KB
2.Construction.mp4
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57.1 MB
3.RetrieveAndModify.PNG
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13.9 KB
3.RetrieveAndModify.mp4
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92.3 MB
4.Data_Analysis.PNG
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13 KB
4.Data_Analysis.mp4
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105.6 MB
5.Alignment.mp4
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37.4 MB
My Drive DataThe Wall Street Quants BootCamp06.Pandas DataFrames1.DataFrameCode
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.ipynb_checkpoints
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Alignment.ipynb
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3.7 KB
Construction.ipynb
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77.7 KB
DataAnalysis.ipynb
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129.7 KB
RetrieveAndModify.ipynb
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5.8 KB
My Drive DataThe Wall Street Quants BootCamp06.Pandas DataFrames1.DataFrameCode.ipynb_checkpoints
Alignment-checkpoint.ipynb
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3.7 KB
Construction-checkpoint.ipynb
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276.4 KB
DataAnalysis-checkpoint.ipynb
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276.4 KB
RetrieveAndModify-checkpoint.ipynb
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14.5 KB
My Drive DataThe Wall Street Quants BootCamp07.More Pandas
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1.MorePandasCode
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2.MissingValues - Cópia.PNG
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11.9 KB
2.MissingValues.mp4
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68.7 MB
3.ReindexingSorting.mp4
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66.5 MB
4.Plotting.mp4
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38.7 MB
5.Homework2.ipynb
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4.9 KB
6.Homework2_Solutions.ipynb
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60 KB
My Drive DataThe Wall Street Quants BootCamp07.More Pandas1.MorePandasCode
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.ipynb_checkpoints
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CategoricalData.ipynb
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1.8 KB
MissingValues.ipynb
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6.1 KB
Plotting.ipynb
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2.1 KB
ReadingWritingFiles.ipynb
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2.6 KB
ReindexingSorting.ipynb
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5.1 KB
My Drive DataThe Wall Street Quants BootCamp07.More Pandas1.MorePandasCode.ipynb_checkpoints
MissingValues-checkpoint.ipynb
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72 B
ReadingWritingFiles-checkpoint.ipynb
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2.6 KB
ReindexingSorting-checkpoint.ipynb
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72 B
My Drive DataThe Wall Street Quants BootCamp08.More Pandas - Part 2
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1.MorePandas2Code
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2.CategoricalData.ts
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9.4 MB
3.ReadingWritingFiles.PNG
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13.9 KB
3.ReadingWritingFiles.ts
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19.1 MB
4.MultiIndexing.ts
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36.4 MB
5.TimeSeries.ts
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36.1 MB
6.GroupbyPivotMerge.ts
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34.6 MB
7.PandasMisc.ts
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33.3 MB
My Drive DataThe Wall Street Quants BootCamp08.More Pandas - Part 21.MorePandas2Code
Name
Owner
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.ipynb_checkpoints
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GroupbyPivotMerge.ipynb
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69.3 KB
MultiIndexing.ipynb
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58.8 KB
PandasMisc.ipynb
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3.8 KB
TimeSeries.ipynb
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6.3 KB
My Drive DataThe Wall Street Quants BootCamp08.More Pandas - Part 21.MorePandas2Code.ipynb_checkpoints
GroupbyPivotMerge-checkpoint.ipynb
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18.7 KB
MultiIndexing-checkpoint.ipynb
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72 B
PandasMisc-checkpoint.ipynb
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1 KB
TimeSeries-checkpoint.ipynb
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7.1 KB
My Drive DataThe Wall Street Quants BootCamp09.Data
1.PriceData.ipynb
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5.9 KB
2.PriceData.ts
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50 MB
My Drive DataThe Wall Street Quants BootCamp10.Performance Evaluation
1.Sharpe Ratios.ts
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99.2 MB
2.Sharpe Ratios.ts
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100.9 MB
3.BetaIntro.ts
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29.1 MB
4.AlphaIntro.ts
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45.7 MB
5.ComputingAlpha.ts
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67.3 MB
6.Homework3.ipynb
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3.3 KB
7.Homework3 Solutions.ipynb
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5.1 KB
My Drive DataThe Wall Street Quants BootCamp11.Performance Evaluation - Part 2
1.RegressionDetails.ts
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55.9 MB
2.Purification.ts
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48.7 MB
3.WhyPurify.ts
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77.1 MB
4.PythonRegression.ipynb
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4.8 KB
4.PythonRegression.ts
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36.3 MB
5.Drawdowns.ts
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83.2 MB
6.PythonDrawdowns.ts
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13.2 MB
My Drive DataThe Wall Street Quants BootCamp12.Weighting
1.Breath.ts
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50.6 MB
2.Breath - cont.ts
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64.8 MB
3.Correlation.ts
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45.8 MB
5.Homework4.ipynb
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1.9 KB
6.Homework4 Solutions.ipynb
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15.9 KB
My Drive DataThe Wall Street Quants BootCamp13.Weighting - Part 2
1.Correlation - cont.ts
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53.3 MB
2.VolWeights.ts
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62.4 MB
3.VolWeights - cont.ts
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66.5 MB
4.SRWeights.ts
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26.1 MB
5.GeneralWeights.ts
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72.9 MB
6.GeneralWeights - cont.ts
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105.3 MB
7.PracticalWeights.ts
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60 MB
8.PracticalWeights - cont.ts
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62.3 MB
9.Homework5.ipynb
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5.4 KB
10.Homework5 Solutions.ipynb
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2.3 KB
My Drive DataThe Wall Street Quants BootCamp14.PythonWeights
1.PythonWeights.ipynb
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43 KB
1.PythonWeights.ts
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41.2 MB
My Drive DataThe Wall Street Quants BootCamp15.Backtesting
1.BasicPortfolioMath.ts
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51.3 MB
2.StrategyTypes.ts
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42.4 MB
3.BacktestIntro.ts
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41.2 MB
4.Portfolio Construction.ts
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66.9 MB
5.Portfolio Construction - cont.ts
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71.3 MB
6.TS Backtesting.ts
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58.5 MB
7.TS Backtesting - cont.ts
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34.9 MB
8.Portfolio Construction.ts
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40.6 MB
9.Homework6.ipynb
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2 KB
10.Homework6 - Solutions.ipynb
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3.3 KB
My Drive DataThe Wall Street Quants BootCamp16.PythonUnconBacktest
1.PythonUnconBacktest.ts
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48.5 MB
My Drive DataThe Wall Street Quants BootCamp17.Event Strategies
1.Events 1.ts
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86.9 MB
2.Events 2.ts
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69.5 MB
3.Events 3.ts
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69.9 MB
My Drive DataThe Wall Street Quants BootCamp18.Value
1.Value 1.ts
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54 MB
2.Value 2.ts
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49.7 MB
3.Value 3.ts
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83.4 MB
4.Value 4.ts
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30.4 MB
5.Homework7.ipynb
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7.3 KB
My Drive DataThe Wall Street Quants BootCamp19.Momentum
1.Time Horizon.ts
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47.8 MB
2.New Info.ts
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59.7 MB
3.Seasonality.ts
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48.9 MB
4.Themes.ts
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34.2 MB
5.Technical.ts
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72.9 MB
My Drive DataThe Wall Street Quants BootCamp20.Reversal
1. Housekeeing.ts
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5.6 MB
2.Overview.ts
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127.6 MB
3.Time Horizon.ts
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45.8 MB
4.Informed Trading.ts
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45.9 MB
5.Correlation.ts
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63.7 MB
6.Macro.ts
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44.8 MB
7.Homework8.ipynb
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3.1 KB
8.Homework8 Solutions.ipynb
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12.4 KB
My Drive DataThe Wall Street Quants BootCamp21.Execution
1. Tcosts.ts
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52.5 MB
2. Turnover.ts
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28.8 MB
3. PythonTurnover.ts
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21.1 MB
4. Trading.ts
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113.2 MB
My Drive DataThe Wall Street Quants BootCamp22.Class Project
1.Class Project.ts
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26.5 MB
2.ClassProject.docx
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19.3 KB
My Drive DataThe Wall Street Quants BootCamp23.Risk
1.Risk Factors.ts
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34 MB
2.BarraFF.ts
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31.3 MB
3.RiskAnalysis.ts
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61.5 MB
4.Python Risk.ts
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41.7 MB
My Drive DataThe Wall Street Quants BootCamp24.Quant Crypto Strategies
1.Quant Crypto 1.ts
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61.7 MB
2.Quant Crypto 2.ts
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94.3 MB
3.Quant Crypto 3.ts
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62.1 MB
My Drive DataThe Wall Street Quants BootCamp25.Optimization
1.Linear Algebra Primer.ts
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94.2 MB
2.Set Up.ts
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116.5 MB
3.Constraints.ts
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48.5 MB
4.Convex Opt 1.ts
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79.7 MB
5.Convex Opt 2.ts
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65.5 MB
6.Convex Opt in Finance 1.ts
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80.6 MB
7.Convex Opt in Finance 2.ts
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66.2 MB
8.Python Opt 1.ts
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47.1 MB
9.Python Opt 2.ts
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22.7 MB
My Drive DataThe Wall Street Quants BootCamp26.Trading Library
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1.The Code (and Documentation)
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2.Python Classes
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3.Library - Intro
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4.Easy Price Data
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5.Strategy Construction
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6.Backtesting
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7.Live Trading 1 (Settings, Launching, Exchange API)
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8.Live Trading 2 (Exiting, Output, Pos Tracking)
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9.Live Trading 3 (Telegram Logging)
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)
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twsq
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START.txt
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438 B
TWSQDocs.html
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73.9 KB
My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsq
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.git
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twsq
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LICENSE
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342 B
README.md
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34 B
setup.py
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767 B
My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsq.git
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hooks
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info
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logs
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objects
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refs
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COMMIT_EDITMSG
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13 B
HEAD
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21 B
config
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309 B
description
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73 B
index
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6.4 KB
My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsq.githooks
applypatch-msg.sample
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478 B
commit-msg.sample
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896 B
fsmonitor-watchman.sample
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3.2 KB
post-update.sample
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pre-applypatch.sample
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424 B
pre-commit.sample
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1.6 KB
pre-merge-commit.sample
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416 B
pre-push.sample
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1.3 KB
pre-rebase.sample
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4.8 KB
pre-receive.sample
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__init__.cpython-38.pyc
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api.cpython-38.pyc
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connections.cpython-38.pyc
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credentials.cpython-38.pyc
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python_apis.cpython-38.pyc
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqdata
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binance_prices.py
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kraken_prices.py
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqdata__pycache__
__init__.cpython-38.pyc
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base_prices.cpython-38.pyc
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binance_prices.cpython-38.pyc
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kraken_prices.cpython-38.pyc
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqexec
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backtest.py
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bot.py
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broker.py
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kraken.py
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order.py
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runner.py
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wrapper.py
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqexec__pycache__
__init__.cpython-38.pyc
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backtest.cpython-38.pyc
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backtesting.cpython-38.pyc
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bot.cpython-38.pyc
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broker.cpython-38.pyc
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broker_ccxt.cpython-38.pyc
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kraken.cpython-38.pyc
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order.cpython-38.pyc
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runner.cpython-38.pyc
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wrapper.cpython-38.pyc
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqutils
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ts_utils.py
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utils.py
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library1.The Code (and Documentation)twsqtwsqutils__pycache__
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pretty.cpython-38.pyc
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utils.cpython-38.pyc
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library2.Python Classes
1.PythonClasses.ipynb
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1.Python Classes.ts
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library3.Library - Intro
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library4.Easy Price Data
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library5.Strategy Construction
1.Strategy Construction.ts
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library6.Backtesting
1.Backtesting.ts
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library7.Live Trading 1 (Settings, Launching, Exchange API)
1.Live Trading 1 (Settings, Launching, Exchange API).ts
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library8.Live Trading 2 (Exiting, Output, Pos Tracking)
1.Live Trading 2 (Exiting, Output, Pos Tracking).ts
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My Drive DataThe Wall Street Quants BootCamp26.Trading Library9.Live Trading 3 (Telegram Logging)
1.Live Trading 3 (Telegram Logging).ts
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My Drive DataThe Wall Street Quants BootCamp27. Quant Research Pitfalls
1. Overfitting 1.ts
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2. Overfitting 2.ts
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3. Overindexing on Modeling.ts
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My Drive DataThe Wall Street Quants BootCamp28. Conclusion
1.Conclusion.ts
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