What is a The Wall Street Quants BootCamp for Cheap?
Finally, a bootcamp for quant Finance
A bootcamp run by Wall Street quants to break you into top tier hedge funds, HFTs, investment banks and more.
Learn the Perfect Quant Skillset
No more guessing which major or courses you need. Follow a curriculum designed by Wall Street quants to give you the right skills. By the end, you’ll be able to research & code quant strategies like the hedge funds.
What You’ll Learn In The Wall Street Quants BootCamp
- Quant Overview
- Coding Overview – Setup
- Python
- Numpy
- Pandas Series
- Pandas DataFrames
- More Pandas
- More Pandas – Part 2
- Data
- Performance Evaluation
- Performance Evaluation – Part 2
- Weighting
- Weighting – Part 2
- PythonWeights
- Backtesting
- PythonUnconBacktest
- Event Strategies
- Value
- Momentum
- Reversal
- Execution
- Class Project
- Risk
- Quant Crypto Strategies
- Optimization
- Trading Library
- Quant Research Pitfalls
- Conclusion
The Wall Street Quants BootCamp Index:
📄 SalesPage.txt (267.00 B)
📁 01.Quant Overview
📄 1. Quant Overview Part 1.mp4 (247.12 MB)
📄 2. Quant Overview Part 2.mp4 (349.61 MB)
📄 3. Quant Overview Part 3.mp4 (253.79 MB)
📁 02.Coding Overview – Setup
📄 1. Overview.mp4 (203.70 MB)
📄 2. Setup.mp4 (87.06 MB)
📄 3. PythonSetup.docx (349.23 KB)
📁 03.Python
📄 1. Code Examples.txt (353.00 B)
📄 10.IFElse.mp4 (31.42 MB)
📄 11.Loops.mp4 (27.97 MB)
📄 12.SyntacticSugar.mp4 (26.54 MB)
📄 13.PythonQuiz.pdf (40.11 KB)
📄 14.Homework1 – Cópia.ipynb (4.69 KB)
📄 15.Homework1_Solutions – Cópia.ipynb (3.79 KB)
📄 3. Variables.mp4 (31.93 MB)
📄 4. Numbers.mp4 (20.12 MB)
📄 5.Strings.PNG (12.20 KB)
📄 5.Strings.mp4 (93.00 MB)
📄 6. Booleans.PNG (12.51 KB)
📄 6. Booleans.mp4 (38.70 MB)
📄 7.Lists.PNG (13.23 KB)
📄 7.Lists.mp4 (62.41 MB)
📄 8.Dicts.PNG (14.92 KB)
📄 8.Dicts.mp4 (46.22 MB)
📄 9.Functions.mp4 (64.86 MB)
📁 2. PythonJupyterCode
📄 Booleans.ipynb (1.95 KB)
📄 Dictionaries.ipynb (2.60 KB)
📄 Functions.ipynb (2.77 KB)
📄 IFElse.ipynb (2.13 KB)
📄 Lists.ipynb (3.51 KB)
📄 Loops.ipynb (2.21 KB)
📄 Numbers.ipynb (1.65 KB)
📄 Strings.ipynb (4.46 KB)
📄 SyntacticSugar.ipynb (1.81 KB)
📄 Variables.ipynb (1.91 KB)
📁 .ipynb_checkpoints
📄 Functions-checkpoint.ipynb (2.77 KB)
📄 Numbers-checkpoint.ipynb (1.65 KB)
📄 Strings-checkpoint.ipynb (4.46 KB)
📄 Variables-checkpoint.ipynb (1.91 KB)
📁 04.Numpy
📄 1. Code Examples – Cópia.txt (312.00 B)
📄 3. NumpyIntro.mp4 (25.43 MB)
📄 4. ArraysBasicOperations.PNG (12.97 KB)
📄 4. ArraysBasicOperations.mp4 (55.91 MB)
📄 5. ArrayIndexing.mp4 (41.43 MB)
📄 6. NumpyFunctions.PNG (14.49 KB)
📄 6. NumpyFunctions.mp4 (69.56 MB)
📄 7. NumpyLinalg.mp4 (18.37 MB)
📁 2. Code Examples – NumpyJupyterCode
📄 ArrayIndexing.ipynb (3.60 KB)
📄 ArraysBasicOperations.ipynb (4.29 KB)
📄 NumpyFunctions.ipynb (243.84 KB)
📄 NumpyIntro.ipynb (1.45 KB)
📄 NumpyLinalg.ipynb (78.13 KB)
📁 .ipynb_checkpoints
📄 ArrayIndexing-checkpoint.ipynb (3.47 KB)
📄 ArraysBasicOperations-checkpoint.ipynb (4.29 KB)
📄 NumpyFunctions-checkpoint.ipynb (243.36 KB)
📄 NumpyIntro-checkpoint.ipynb (1.45 KB)
📄 NumpyLinalg-checkpoint.ipynb (78.13 KB)
📁 05.Pandas Series
📄 2.Construction.mp4 (34.66 MB)
📄 3.RetrieveAndModify.PNG (14.69 KB)
📄 3.RetrieveAndModify.mp4 (45.41 MB)
📄 4.DataAnalysis.PNG (11.93 KB)
📄 4.DataAnalysis.mp4 (52.64 MB)
📄 5.Alignment.PNG (20.34 KB)
📄 5.Alignment.mp4 (40.50 MB)
📁 1.SeriesJupyterCode
📄 Alignment.ipynb (3.18 KB)
📄 Construction.ipynb (2.50 KB)
📄 DataAnalysis.ipynb (4.21 KB)
📄 RetrieveAndModify.ipynb (8.19 KB)
📁 .ipynb_checkpoints
📄 Alignment-checkpoint.ipynb (3.18 KB)
📄 Construction-checkpoint.ipynb (2.50 KB)
📄 DataAnalysis-checkpoint.ipynb (4.21 KB)
📄 RetrieveAndModify-checkpoint.ipynb (8.19 KB)
📁 06.Pandas DataFrames
📄 .getxfer.37368.6380.mega (0.00 B)
📄 .getxfer.37368.6381.mega (0.00 B)
📄 2.Construction.PNG (13.09 KB)
📄 2.Construction.mp4 (57.06 MB)
📄 3.RetrieveAndModify.PNG (13.92 KB)
📄 3.RetrieveAndModify.mp4 (92.26 MB)
📄 4.Data_Analysis.PNG (13.03 KB)
📄 4.Data_Analysis.mp4 (105.62 MB)
📄 5.Alignment.mp4 (37.39 MB)
📁 1.DataFrameCode
📄 Alignment.ipynb (3.65 KB)
📄 Construction.ipynb (77.72 KB)
📄 DataAnalysis.ipynb (129.74 KB)
📄 RetrieveAndModify.ipynb (5.82 KB)
📁 .ipynb_checkpoints
📄 Alignment-checkpoint.ipynb (3.65 KB)
📄 Construction-checkpoint.ipynb (276.38 KB)
📄 DataAnalysis-checkpoint.ipynb (276.38 KB)
📄 RetrieveAndModify-checkpoint.ipynb (14.53 KB)
📁 07.More Pandas
📄 2.MissingValues – Cópia.PNG (11.85 KB)
📄 2.MissingValues.mp4 (68.74 MB)
📄 3.ReindexingSorting.mp4 (66.46 MB)
📄 4.Plotting.mp4 (38.75 MB)
📄 5.Homework2.ipynb (4.85 KB)
📄 6.Homework2_Solutions.ipynb (59.99 KB)
📁 1.MorePandasCode
📄 CategoricalData.ipynb (1.78 KB)
📄 MissingValues.ipynb (6.14 KB)
📄 Plotting.ipynb (2.12 KB)
📄 ReadingWritingFiles.ipynb (2.57 KB)
📄 ReindexingSorting.ipynb (5.10 KB)
📁 .ipynb_checkpoints
📄 MissingValues-checkpoint.ipynb (72.00 B)
📄 ReadingWritingFiles-checkpoint.ipynb (2.57 KB)
📄 ReindexingSorting-checkpoint.ipynb (72.00 B)
📁 08.More Pandas – Part 2
📄 .getxfer.37368.6367.mega (0.00 B)
📄 2.CategoricalData.ts (9.38 MB)
📄 3.ReadingWritingFiles.PNG (13.90 KB)
📄 3.ReadingWritingFiles.ts (19.13 MB)
📄 4.MultiIndexing.ts (36.37 MB)
📄 5.TimeSeries.ts (36.05 MB)
📄 6.GroupbyPivotMerge.ts (34.63 MB)
📄 7.PandasMisc.ts (33.28 MB)
📁 1.MorePandas2Code
📄 .getxfer.37368.6368.mega (0.00 B)
📄 .getxfer.37368.6369.mega (0.00 B)
📄 .getxfer.37368.6370.mega (0.00 B)
📄 .getxfer.37368.6371.mega (0.00 B)
📄 GroupbyPivotMerge.ipynb (69.28 KB)
📄 MultiIndexing.ipynb (58.77 KB)
📄 PandasMisc.ipynb (3.85 KB)
📄 TimeSeries.ipynb (6.26 KB)
📁 .ipynb_checkpoints
📄 .getxfer.37368.6372.mega (0.00 B)
📄 .getxfer.37368.6373.mega (0.00 B)
📄 .getxfer.37368.6374.mega (0.00 B)
📄 .getxfer.37368.6375.mega (0.00 B)
📄 GroupbyPivotMerge-checkpoint.ipynb (18.70 KB)
📄 MultiIndexing-checkpoint.ipynb (72.00 B)
📄 PandasMisc-checkpoint.ipynb (1.04 KB)
📄 TimeSeries-checkpoint.ipynb (7.13 KB)
📁 09.Data
📄 .getxfer.37368.6377.mega (0.00 B)
📄 1.PriceData.ipynb (5.92 KB)
📄 2.PriceData.ts (50.00 MB)
📁 10.Performance Evaluation
📄 .getxfer.37368.6378.mega (0.00 B)
📄 .getxfer.37368.6379.mega (0.00 B)
📄 1.Sharpe Ratios.ts (99.22 MB)
📄 2.Sharpe Ratios.ts (100.87 MB)
📄 3.BetaIntro.ts (29.10 MB)
📄 4.AlphaIntro.ts (45.73 MB)
📄 5.ComputingAlpha.ts (67.30 MB)
📄 6.Homework3.ipynb (3.32 KB)
📄 7.Homework3 Solutions.ipynb (5.09 KB)
📁 11.Performance Evaluation – Part 2
📄 .getxfer.37368.6376.mega (0.00 B)
📄 1.RegressionDetails.ts (55.91 MB)
📄 2.Purification.ts (48.70 MB)
📄 3.WhyPurify.ts (77.07 MB)
📄 4.PythonRegression.ipynb (4.80 KB)
📄 4.PythonRegression.ts (36.31 MB)
📄 5.Drawdowns.ts (83.21 MB)
📄 6.PythonDrawdowns.ts (13.21 MB)
📁 12.Weighting
📄 1.Breath.ts (50.64 MB)
📄 2.Breath – cont.ts (64.78 MB)
📄 3.Correlation.ts (45.82 MB)
📄 5.Homework4.ipynb (1.87 KB)
📄 6.Homework4 Solutions.ipynb (15.90 KB)
📁 13.Weighting – Part 2
📄 1.Correlation – cont.ts (53.26 MB)
📄 10.Homework5 Solutions.ipynb (2.27 KB)
📄 2.VolWeights.ts (62.40 MB)
📄 3.VolWeights – cont.ts (66.54 MB)
📄 4.SRWeights.ts (26.10 MB)
📄 5.GeneralWeights.ts (72.87 MB)
📄 6.GeneralWeights – cont.ts (105.29 MB)
📄 7.PracticalWeights.ts (59.98 MB)
📄 8.PracticalWeights – cont.ts (62.31 MB)
📄 9.Homework5.ipynb (5.45 KB)
📁 14.PythonWeights
📄 1.PythonWeights.ipynb (43.03 KB)
📄 1.PythonWeights.ts (41.20 MB)
📁 15.Backtesting
📄 1.BasicPortfolioMath.ts (51.34 MB)
📄 10.Homework6 – Solutions.ipynb (3.33 KB)
📄 2.StrategyTypes.ts (42.43 MB)
📄 3.BacktestIntro.ts (41.21 MB)
📄 4.Portfolio Construction.ts (66.86 MB)
📄 5.Portfolio Construction – cont.ts (71.28 MB)
📄 6.TS Backtesting.ts (58.52 MB)
📄 7.TS Backtesting – cont.ts (34.94 MB)
📄 8.Portfolio Construction.ts (40.60 MB)
📄 9.Homework6.ipynb (2.04 KB)
📁 16.PythonUnconBacktest
📄 1.PythonUnconBacktest.ts (48.50 MB)
📁 17.Event Strategies
📄 1.Events 1.ts (86.86 MB)
📄 2.Events 2.ts (69.47 MB)
📄 3.Events 3.ts (69.92 MB)
📁 18.Value
📄 .getxfer.37368.6366.mega (0.00 B)
📄 1.Value 1.ts (54.05 MB)
📄 2.Value 2.ts (49.68 MB)
📄 3.Value 3.ts (83.40 MB)
📄 4.Value 4.ts (30.37 MB)
📄 5.Homework7.ipynb (7.33 KB)
📁 19.Momentum
📄 1.Time Horizon.ts (47.76 MB)
📄 2.New Info.ts (59.68 MB)
📄 3.Seasonality.ts (48.92 MB)
📄 4.Themes.ts (34.21 MB)
📄 5.Technical.ts (72.89 MB)
📁 20.Reversal
📄 1. Housekeeing.ts (5.58 MB)
📄 2.Overview.ts (127.59 MB)
📄 3.Time Horizon.ts (45.81 MB)
📄 4.Informed Trading.ts (45.87 MB)
📄 5.Correlation.ts (63.68 MB)
📄 6.Macro.ts (44.81 MB)
📄 7.Homework8.ipynb (3.14 KB)
📄 8.Homework8 Solutions.ipynb (12.44 KB)
📁 21.Execution
📄 1. Tcosts.ts (52.50 MB)
📄 2. Turnover.ts (28.75 MB)
📄 3. PythonTurnover.ts (21.14 MB)
📄 4. Trading.ts (113.24 MB)
📁 22.Class Project
📄 1.Class Project.ts (26.48 MB)
📄 2.ClassProject.docx (19.25 KB)
📁 23.Risk
📄 1.Risk Factors.ts (34.02 MB)
📄 2.BarraFF.ts (31.25 MB)
📄 3.RiskAnalysis.ts (61.54 MB)
📄 4.Python Risk.ts (41.75 MB)
📁 24.Quant Crypto Strategies
📄 1.Quant Crypto 1.ts (61.69 MB)
📄 2.Quant Crypto 2.ts (94.30 MB)
📄 3.Quant Crypto 3.ts (62.06 MB)
📁 25.Optimization
📄 1.Linear Algebra Primer.ts (94.17 MB)
📄 2.Set Up.ts (116.54 MB)
📄 3.Constraints.ts (48.53 MB)
📄 4.Convex Opt 1.ts (79.74 MB)
📄 5.Convex Opt 2.ts (65.46 MB)
📄 6.Convex Opt in Finance 1.ts (80.57 MB)
📄 7.Convex Opt in Finance 2.ts (66.21 MB)
📄 8.Python Opt 1.ts (47.10 MB)
📄 9.Python Opt 2.ts (22.70 MB)
📁 26.Trading Library
📁 1.The Code (and Documentation)
📄 START.txt (438.00 B)
📄 TWSQDocs.html (73.94 KB)
📁 twsq
📄 LICENSE (342.00 B)
📄 README.md (34.00 B)
📄 setup.py (767.00 B)
📁 .git
📄 COMMIT_EDITMSG (13.00 B)
📄 HEAD (21.00 B)
📄 config (309.00 B)
📄 description (73.00 B)
📄 index (6.41 KB)
📁 hooks
📄 applypatch-msg.sample (478.00 B)
📄 commit-msg.sample (896.00 B)
📄 fsmonitor-watchman.sample (3.25 KB)
📄 post-update.sample (189.00 B)
📄 pre-applypatch.sample (424.00 B)
📄 pre-commit.sample (1.60 KB)
📄 pre-merge-commit.sample (416.00 B)
📄 pre-push.sample (1.32 KB)
📄 pre-rebase.sample (4.78 KB)
📄 pre-receive.sample (544.00 B)
📄 prepare-commit-msg.sample (1.46 KB)
📄 update.sample (3.53 KB)
📁 info
📄 exclude (240.00 B)
📁 logs
📄 HEAD (590.00 B)
📁 refs
📁 heads
📄 main (386.00 B)
📁 remotes
📁 origin
📄 main (166.00 B)
📁 objects
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📁 ff
📄 42c8be841a5836bbd135fb77a482e643ca6051 (2.79 KB)
📁 info
📁 pack
📁 refs
📁 heads
📄 main (41.00 B)
📁 remotes
📁 origin
📄 main (41.00 B)
📁 tags
📁 twsq
📄 __init__.py (0.00 B)
📄 paths.py (579.00 B)
📁 __pycache__
📄 __init__.cpython-38.pyc (148.00 B)
📄 paths.cpython-38.pyc (813.00 B)
📁 alpha
📄 __init__.py (23.00 B)
📄 base.py (15.63 KB)
📁 __pycache__
📄 __init__.cpython-38.pyc (179.00 B)
📄 base.cpython-38.pyc (17.48 KB)
📄 grid.cpython-38.pyc (2.77 KB)
📄 test.cpython-38.pyc (1.10 KB)
📁 analytics
📄 analytics.py (110.00 B)
📁 api
📄 BinanceAPI.py (248.00 B)
📄 KrakenAPI.py (7.67 KB)
📄 __init__.py (156.00 B)
📄 connections.py (1.06 KB)
📄 python_apis.py (1.46 KB)
📁 __pycache__
📄 BinanceAPI.cpython-38.pyc (577.00 B)
📄 KrakenAPI.cpython-38.pyc (7.81 KB)
📄 __init__.cpython-38.pyc (320.00 B)
📄 api.cpython-38.pyc (796.00 B)
📄 connections.cpython-38.pyc (1.08 KB)
📄 credentials.cpython-38.pyc (584.00 B)
📄 python_apis.cpython-38.pyc (1.14 KB)
📁 data
📄 __init__.py (81.00 B)
📄 base_prices.py (7.55 KB)
📄 binance_prices.py (830.00 B)
📄 kraken_prices.py (3.17 KB)
📁 __pycache__
📄 __init__.cpython-38.pyc (241.00 B)
📄 base_prices.cpython-38.pyc (6.91 KB)
📄 binance_prices.cpython-38.pyc (1.33 KB)
📄 kraken_prices.cpython-38.pyc (3.54 KB)
📁 exec
📄 .getxfer.37368.6346.mega (0.00 B)
📄 __init__.py (123.00 B)
📄 backtest.py (3.03 KB)
📄 bot.py (1.80 KB)
📄 broker.py (7.76 KB)
📄 kraken.py (3.18 KB)
📄 order.py (1.37 KB)
📄 runner.py (3.65 KB)
📄 wrapper.py (241.00 B)
📁 __pycache__
📄 .getxfer.37368.6347.mega (0.00 B)
📄 .getxfer.37368.6349.mega (0.00 B)
📄 .getxfer.37368.6350.mega (0.00 B)
📄 .getxfer.37368.6352.mega (0.00 B)
📄 .getxfer.37368.6356.mega (0.00 B)
📄 __init__.cpython-38.pyc (304.00 B)
📄 backtest.cpython-38.pyc (3.03 KB)
📄 backtesting.cpython-38.pyc (570.00 B)
📄 bot.cpython-38.pyc (2.37 KB)
📄 broker.cpython-38.pyc (7.02 KB)
📄 broker_ccxt.cpython-38.pyc (545.00 B)
📄 kraken.cpython-38.pyc (3.94 KB)
📄 order.cpython-38.pyc (1.57 KB)
📄 runner.cpython-38.pyc (3.65 KB)
📄 wrapper.cpython-38.pyc (410.00 B)
📁 utils
📄 .getxfer.37368.6357.mega (0.00 B)
📄 .getxfer.37368.6358.mega (0.00 B)
📄 .getxfer.37368.6359.mega (0.00 B)
📄 __init__.py (51.00 B)
📄 ts_utils.py (2.12 KB)
📄 utils.py (2.62 KB)
📁 __pycache__
📄 .getxfer.37368.6360.mega (0.00 B)
📄 .getxfer.37368.6361.mega (0.00 B)
📄 .getxfer.37368.6362.mega (0.00 B)
📄 .getxfer.37368.6363.mega (0.00 B)
📄 .getxfer.37368.6364.mega (0.00 B)
📄 __init__.cpython-38.pyc (193.00 B)
📄 pretty.cpython-38.pyc (892.00 B)
📄 set_logging.cpython-38.pyc (826.00 B)
📄 ts_utils.cpython-38.pyc (2.75 KB)
📄 utils.cpython-38.pyc (2.77 KB)
📁 2.Python Classes
📄 .getxfer.37368.6365.mega (0.00 B)
📄 1.Python Classes.ts (53.43 MB)
📄 1.PythonClasses.ipynb (7.85 KB)
📁 3.Library – Intro
📄 1.Library – Intro.ts (43.00 MB)
📁 4.Easy Price Data
📄 1.Easy Price Data.ts (8.39 MB)
📁 5.Strategy Construction
📄 1.Strategy Construction.ts (57.86 MB)
📁 6.Backtesting
📄 1.Backtesting.ts (39.57 MB)
📁 7.Live Trading 1 (Settings, Launching, Exchange API)
📄 1.Live Trading 1 (Settings, Launching, Exchange API).ts (42.40 MB)
📁 8.Live Trading 2 (Exiting, Output, Pos Tracking)
📄 1.Live Trading 2 (Exiting, Output, Pos Tracking).ts (13.00 MB)
📁 9.Live Trading 3 (Telegram Logging)
📄 1.Live Trading 3 (Telegram Logging).ts (15.76 MB)
📁 27. Quant Research Pitfalls
📄 1. Overfitting 1.ts (86.24 MB)
📄 2. Overfitting 2.ts (79.21 MB)
📄 3. Overindexing on Modeling.ts (32.75 MB)
📁 28. Conclusion
📄 1.Conclusion.ts (27.49 MB)
💬 Feel free to REACH OUT to our CHAT support for personalized assistance and detailed information tailored to your needs. We’re here to help!
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