Verified Course Index • 2026
The Wall Street Quants BootCamp is presented here with the supplied package inventory—not a guessed curriculum. Review the exact filenames, formats and total size before ordering through Courses On Budget.
The Wall Street Quants BootCamp is presented here with the supplied package inventory—not a guessed curriculum. Review the exact filenames, formats and total size before ordering through Courses On Budget.
What You Get With The Wall Street Quants BootCamp
The Wall Street Quants BootCamp course is a digital package organized around trading and investing. The supplied index contains 402 files in 147 folders, with a listed total size of 7.10 GB. Representative entries include SalesPage.txt; 1. Quant Overview Part 1.mp4; 2. Quant Overview Part 2.mp4. Every supplied file entry remains available in the complete curriculum accordion below.
402Indexed files
147Indexed folders
7.10 GBListed package size
Format breakdown
Video: 121, Documents: 7, Images: 14, Other: 260.
| Before you choose | This indexed product page | A vague course listing |
|---|---|---|
| Inventory visibility | All 402 supplied file entries are shown below | Often only a broad promise |
| Package facts | 7.10 GB total; formats summarized | May omit size or formats |
| Decision support | Exact filenames can be checked before purchase | Harder to verify scope |
Who This Course Package Is For
- Learners specifically comparing the The Wall Street Quants BootCamp package.
- Buyers who want to verify filenames and included formats before purchasing.
- Students building a structured library of trading courses available for less.
Important:
Course access is educational and does not guarantee trading or investment results. Markets involve risk. For independent investor education, consult FINRA Investing Basics.
Course access is educational and does not guarantee trading or investment results. Markets involve risk. For independent investor education, consult FINRA Investing Basics.
Complete The Wall Street Quants BootCamp Course Curriculum
Open each section to inspect the full supplied inventory. File names and sizes are reproduced from the source index; unnamed lessons remain unnamed rather than being rewritten with invented topics.
Root files (1 files)
📄 SalesPage.txt (267.00 B)
01.Quant Overview (3 files)
📁 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 (3 files)
📁 02.Coding Overview – Setup
📄 1. Overview.mp4 (203.70 MB)
📄 2. Setup.mp4 (87.06 MB)
📄 3. PythonSetup.docx (349.23 KB)
03.Python (32 files)
📁 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 (18 files)
📁 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 (15 files)
📁 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 (17 files)
📁 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 (14 files)
📁 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 (24 files)
📁 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 (3 files)
📁 09.Data
📄 .getxfer.37368.6377.mega (0.00 B)
📄 1.PriceData.ipynb (5.92 KB)
📄 2.PriceData.ts (50.00 MB)
10.Performance Evaluation (9 files)
📁 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 (8 files)
📁 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 (5 files)
📁 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 (10 files)
📁 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 (2 files)
📁 14.PythonWeights
📄 1.PythonWeights.ipynb (43.03 KB)
📄 1.PythonWeights.ts (41.20 MB)
15.Backtesting (10 files)
📁 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 files)
📁 16.PythonUnconBacktest
📄 1.PythonUnconBacktest.ts (48.50 MB)
17.Event Strategies (3 files)
📁 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 (6 files)
📁 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 (5 files)
📁 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 (8 files)
📁 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 (4 files)
📁 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 (2 files)
📁 22.Class Project
📄 1.Class Project.ts (26.48 MB)
📄 2.ClassProject.docx (19.25 KB)
23.Risk (4 files)
📁 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 (3 files)
📁 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 (9 files)
📁 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 — part 1 (62 files)
📁 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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📁 a1
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26.Trading Library — part 2 (63 files)
📁 a9
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📁 df
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📄 cda9a74098bcfd5f05bb6b491c55a36b8f41b7 (192.00 B)
📁 e1
📄 121a9c084c8d9b66aeff53507a18c04e4ae848 (397.00 B)
📁 e4
📄 63c6b2a833592c9fb55531e8207d73c9690515 (372.00 B)
📁 e6
📄 13da50d4831e5407669cbdf126a931497bddda (578.00 B)
📄 9de29bb2d1d6434b8b29ae775ad8c2e48c5391 (15.00 B)
📁 e8
📄 1d3b6db0cfa6f4b33d0d8117fa306880cf7956 (331.00 B)
📁 ea
📄 7634a2d8f8d75c8ae3c0082209545254b532cf (661.00 B)
📄 af720338347f3fa53128813245a9fae2954cc1 (110.00 B)
📁 f4
📄 ca8d87094d41dc636b1906610f5d06c96bf289 (127.00 B)
📁 f5
📄 1d3c1b1333db8d6136fcdea3f539fcca2a234f (1.59 KB)
📁 f8
📄 3f0856b435b2135c9851e5804bdf05d8013749 (97.00 B)
📁 fb
📄 bce3671b8afdd57916e45f821b34c19c7bee28 (157.00 B)
📁 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__
26.Trading Library — part 3 (54 files)
📄 __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 (3 files)
📁 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 files)
📁 28. Conclusion
📄 1.Conclusion.ts (27.49 MB)
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