From 221c2507b8b789960aaa5d9c348913faf6e6ffcd Mon Sep 17 00:00:00 2001
From: Stefan Jansen <stefan@applied-ai.com>
Date: Tue, 29 Dec 2020 21:24:54 -0600
Subject: [PATCH] figures cleanup

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 .../Figure 1.1 - The ML4T workflow.png              | Bin
 ...gure 1.2 - The alpha factor research process.png | Bin
 ...raded value of the 50 most traded securities.png | Bin
 .../Figure 2.10 - Quandl oil price example.png      | Bin
 ... 2.11 - Trailing PE ratio from EDGAR filings.png | Bin
 .../Figure 2.12 - Storage benchmarks.png            | Bin
 ...market liquidity according to the order book.png | Bin
 .../Figure 2.3 - Tick bars.png                      | Bin
 .../Figure 2.4 - Time bars.png                      | Bin
 .../Figure 2.5 - Bokeh candlestick plot.png         | Bin
 .../Figure 2.6 - Volume bars.png                    | Bin
 .../Figure 2.7 - Dollar bars.png                    | Bin
 .../Figure 2.8 - Plotly candlestick plot.png        | Bin
 .../Figure 2.9 - Zipline data access.png            | Bin
 ...lternative data (Source Ernst & Young, 2017).png | Bin
 .../Figure 3.2 - OpenTable data summary.png         | Bin
 ...Alpha factor research and execution workflow.png | Bin
 ...eturn by quantile for a 5-day holding period.png | Bin
 ...of the period-wise return by factor quintile.png | Bin
 ...- Moving average of the IC for 5-day horizon.png | Bin
 .../Figure 4.13 - IC by year.png                    | Bin
 ...Figure 4.2 - Returns on various risk factors.png | Bin
 ... Correlation between the VIX and the S&P 500.png | Bin
 ... Bollinger Bands and relative strength index.png | Bin
 ...ure 4.5 - Kalman filter as a graphical model.png | Bin
 ...re 4.6 - Kalman filter versus moving average.png | Bin
 .../Figure 4.7 - Daubechies wavelets.png            | Bin
 ... Wavelet denoising with different thresholds.png | Bin
 ... 4.9 - Mean period return by factor quantile.png | Bin
 ...alues of breadth and information coefficient.png | Bin
 ... frontier and different optimized portfolios.png | Bin
 ...ance vs equal-weighted portfolio performance.png | Bin
 ...re 5.4 - Pyfolio cumulative performance plot.png | Bin
 ...ure 5.5 - Pyfolio performance statistic plot.png | Bin
 ...rious pyfolio plots of performance over time.png | Bin
 .../Figure 5.7 - Pyfolio event risk analysis.png    | Bin
 ...- Key steps of the machine learning workflow.png | Bin
 ...0 - Train, validation, and hold-out test set.png | Bin
 ...Figure 6.11 - Validation and learning curves.png | Bin
 .../Figure 6.2 - In-sample regression errors.png    | Bin
 ...- Confusion matrix and related error metrics.png | Bin
 ...Precision-Recall Curve, and F1 Scores charts.png | Bin
 ...irwise scatter plots of outcome and features.png | Bin
 ...sual example of overfitting with polynomials.png | Bin
 ...ictions for polynomials of different degrees.png | Bin
 ...- Learning curves and bias-variance tradeoff.png | Bin
 .../Figure 6.9 - Training and test set.png          | Bin
 .../Figure 7.1 - Gradient descent.png               | Bin
 ...Figure 7.10 - Lasso cross-validation results.png | Bin
 ...aily IC distribution and top 10 coefficients.png | Bin
 ...ean and median daily IC for the three models.png | Bin
 .../Figure 7.13 - Logit regression results.png      | Bin
 .../Figure 7.14 -Logistic regression.png            | Bin
 .../Figure 7.2 - OLS Regression Results summary.png | Bin
 .../Figure 7.3 - Regression hyperplane.png          | Bin
 ...e 7.4 - LinearFactorModel estimation summary.png | Bin
 ...idual distribution and autocorrelation plots.png | Bin
 ... - Daily and pooled IC for linear regression.png | Bin
 ... IC and RMSE for the linear regression model.png | Bin
 ... - Ridge regression cross-validation results.png | Bin
 ...distribution and most important coefficients.png | Bin
 .../Figure 8.1 - The ML4T workflow.png              | Bin
 ...ine backtest performance with model training.png | Bin
 .../Figure 8.2 - Vectorized backtest results.png    | Bin
 ...re 8.3 - The backtrader Cerebro architecture.png | Bin
 .../Figure 8.4 - backtrader results.png             | Bin
 .../Figure 8.5 - The Zipline architecture.png       | Bin
 ...signal backtest using Zipline's Pipeline API.png | Bin
 .../Figure 8.7 - Zipline backtest results.png       | Bin
 ...hart of Zipline backtest with model training.png | Bin
 ...Figure 8.9 - Model out-of-sample performance.png | Bin
 ...ition into trend, seasonality, and residuals.png | Bin
 ...industrial production and consumer sentiment.png | Bin
 .../Figure 9.11 - VAR(1) model results.png          | Bin
 ...9.12 - statsmodels VAR model diagnostic plot.png | Bin
 ... 9.13 - VAR model predictions versus actuals.png | Bin
 ...the significance of both cointegration tests.png | Bin
 ...or two selected pairs over the sample period.png | Bin
 .../Figure 9.16 - Strategy performance metrics.png  | Bin
 ...s transformations and unit-root test results.png | Bin
 ...stics for transformed NASDAQ Composite index.png | Bin
 ...s for transformed industrial production data.png | Bin
 .../Figure 9.5 - SARMAX model results.png           | Bin
 .../Figure 9.6 - SARIMAX model diagnostics.png      | Bin
 ...gure 9.7 - Daily NASDAQ composite volatility.png | Bin
 .../Figure 9.8 - GARCH Model results.png            | Bin
 ...ivariate and multivariate time-series models.png | Bin
 ...1 - Comparison of MAs for AAPL closing price.png | Bin
 ...hed StochRSI series for the AAPL stock price.png | Bin
 ...A.11 - STOCH series for the AAPL stock price.png | Bin
 ....12 - ULTOSC series for the AAPL stock price.png | Bin
 ...A.13 - WILLR series for the AAPL stock price.png | Bin
 ...A.14 - ADOSC series for the AAPL stock price.png | Bin
 ...e A.15 - ATR series for the AAPL stock price.png | Bin
 ... A.16 - Alpha 001 histogram and scatter plot.png | Bin
 ... SHAP values for common and formulaic alphas.png | Bin
 ...18 - Rank correlation of performance metrics.png | Bin
 ... Top 25 features for each performance metric.png | Bin
 ...Bollinger Bands for AAPL close price in 2012.png | Bin
 ... - Alphalens performance metric for Alpha 54.png | Bin
 ...e A.3 - Normalized Bollinger Band indicators.png | Bin
 ...tion of normalized Bollinger Band indicators.png | Bin
 ...ure A.5 - Parabolic SAR for AAPL stock price.png | Bin
 ...e A.6 - PLUS_DMMINUS_DM for AAPL stock price.png | Bin
 ...re A.7 - ADX for the AAPL stock price series.png | Bin
 ...n Oscillator for the AAPL stock price series.png | Bin
 ... MACD series for the AAPL stock price series.png | Bin
 107 files changed, 0 insertions(+), 0 deletions(-)
 rename figures/{Chapter_1 => Chapter_01}/Figure 1.1 - The ML4T workflow.png (100%)
 rename figures/{Chapter_1 => Chapter_01}/Figure 1.2 - The alpha factor research process.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.1 - The share of traded value of the 50 most traded securities.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.10 - Quandl oil price example.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.11 - Trailing PE ratio from EDGAR filings.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.12 - Storage benchmarks.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.2 - AAPL market liquidity according to the order book.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.3 - Tick bars.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.4 - Time bars.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.5 - Bokeh candlestick plot.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.6 - Volume bars.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.7 - Dollar bars.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.8 - Plotly candlestick plot.png (100%)
 rename figures/{Chapter_2 => Chapter_02}/Figure 2.9 - Zipline data access.png (100%)
 rename figures/{Chapter_3 => Chapter_03}/Figure 3.1 - Usefulness and usage of alternative data (Source Ernst & Young, 2017).png (100%)
 rename figures/{Chapter_3 => Chapter_03}/Figure 3.2 - OpenTable data summary.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.1 - Alpha factor research and execution workflow.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.10 - Cumulative return by quantile for a 5-day holding period.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.11 - Distribution of the period-wise return by factor quintile.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.12 - Moving average of the IC for 5-day horizon.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.13 - IC by year.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.2 - Returns on various risk factors.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.3 - Correlation between the VIX and the S&P 500.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.4 - Bollinger Bands and relative strength index.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.5 - Kalman filter as a graphical model.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.6 - Kalman filter versus moving average.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.7 - Daubechies wavelets.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.8 - Wavelet denoising with different thresholds.png (100%)
 rename figures/{Chapter_4 => Chapter_04}/Figure 4.9 - Mean period return by factor quantile.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.1 - Information ratios for different values of breadth and information coefficient.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.2 - The efficient frontier and different optimized portfolios.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.3 - Mean-variance vs equal-weighted portfolio performance.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.4 - Pyfolio cumulative performance plot.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.5 - Pyfolio performance statistic plot.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.6 - Various pyfolio plots of performance over time.png (100%)
 rename figures/{Chapter_5 => Chapter_05}/Figure 5.7 - Pyfolio event risk analysis.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.1 - Key steps of the machine learning workflow.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.10 - Train, validation, and hold-out test set.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.11 - Validation and learning curves.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.2 - In-sample regression errors.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.3 - Confusion matrix and related error metrics.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.4 - Receiver-Operating Characteristics, Precision-Recall Curve, and F1 Scores charts.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.5 - Pairwise scatter plots of outcome and features.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.6 - A visual example of overfitting with polynomials.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.7 - Errors and out-of-sample predictions for polynomials of different degrees.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.8 - Learning curves and bias-variance tradeoff.png (100%)
 rename figures/{Chapter_6 => Chapter_06}/Figure 6.9 - Training and test set.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.1 - Gradient descent.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.10 - Lasso cross-validation results.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.11 - Lasso daily IC distribution and top 10 coefficients.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.12 - Mean and median daily IC for the three models.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.13 - Logit regression results.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.14 -Logistic regression.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.2 - OLS Regression Results summary.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.3 - Regression hyperplane.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.4 - LinearFactorModel estimation summary.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.5 - Residual distribution and autocorrelation plots.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.6 - Daily and pooled IC for linear regression.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.7 - 21-day rolling average for the daily IC and RMSE for the linear regression model.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.8 - Ridge regression cross-validation results.png (100%)
 rename figures/{Chapter_7 => Chapter_07}/Figure 7.9 - Daily IC distribution and most important coefficients.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.1 - The ML4T workflow.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.10 - Zipline backtest performance with model training.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.2 - Vectorized backtest results.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.3 - The backtrader Cerebro architecture.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.4 - backtrader results.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.5 - The Zipline architecture.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.6 - ML signal backtest using Zipline's Pipeline API.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.7 - Zipline backtest results.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.8 - Flowchart of Zipline backtest with model training.png (100%)
 rename figures/{Chapter_8 => Chapter_08}/Figure 8.9 - Model out-of-sample performance.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.1 - Time-series decomposition into trend, seasonality, and residuals.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.10 - Transformed time series industrial production and consumer sentiment.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.11 - VAR(1) model results.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.12 - statsmodels VAR model diagnostic plot.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.13 - VAR model predictions versus actuals.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.14 - The distribution of heuristics, broken down by the significance of both cointegration tests.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.15 - Price series for two selected pairs over the sample period.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.16 - Strategy performance metrics.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.2 - Time-series transformations and unit-root test results.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.3 - Descriptive statistics for transformed NASDAQ Composite index.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.4 - Descri ptive statistics for transformed industrial production data.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.5 - SARMAX model results.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.6 - SARIMAX model diagnostics.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.7 - Daily NASDAQ composite volatility.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.8 - GARCH Model results.png (100%)
 rename figures/{Chapter_9 => Chapter_09}/Figure 9.9 - Interactions in univariate and multivariate time-series models.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.1 - Comparison of MAs for AAPL closing price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.10 - Smoothed and unsmoothed StochRSI series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.11 - STOCH series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.12 - ULTOSC series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.13 - WILLR series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.14 - ADOSC series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.15 - ATR series for the AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.16 - Alpha 001 histogram and scatter plot.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.17 - SHAP values for common and formulaic alphas.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.18 - Rank correlation of performance metrics.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.19 - Top 25 features for each performance metric.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.2 - Bollinger Bands for AAPL close price in 2012.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.20 - Alphalens performance metric for Alpha 54.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.3 - Normalized Bollinger Band indicators.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.4 - Distribution of normalized Bollinger Band indicators.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.5 - Parabolic SAR for AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.6 - PLUS_DMMINUS_DM for AAPL stock price.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.7 - ADX for the AAPL stock price series.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.8 - Aroon Oscillator for the AAPL stock price series.png (100%)
 rename figures/{Appendix => Chapter_24 - Appendix}/Figure A.9 - The three MACD series for the AAPL stock price series.png (100%)

diff --git a/figures/Chapter_1/Figure 1.1 - The ML4T workflow.png b/figures/Chapter_01/Figure 1.1 - The ML4T workflow.png
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rename from figures/Chapter_1/Figure 1.1 - The ML4T workflow.png
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diff --git a/figures/Chapter_1/Figure 1.2 - The alpha factor research process.png b/figures/Chapter_01/Figure 1.2 - The alpha factor research process.png
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diff --git a/figures/Chapter_2/Figure 2.1 - The share of traded value of the 50 most traded securities.png b/figures/Chapter_02/Figure 2.1 - The share of traded value of the 50 most traded securities.png
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rename to figures/Chapter_02/Figure 2.1 - The share of traded value of the 50 most traded securities.png
diff --git a/figures/Chapter_2/Figure 2.10 - Quandl oil price example.png b/figures/Chapter_02/Figure 2.10 - Quandl oil price example.png
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diff --git a/figures/Chapter_2/Figure 2.11 - Trailing PE ratio from EDGAR filings.png b/figures/Chapter_02/Figure 2.11 - Trailing PE ratio from EDGAR filings.png
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diff --git a/figures/Chapter_2/Figure 2.12 - Storage benchmarks.png b/figures/Chapter_02/Figure 2.12 - Storage benchmarks.png
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diff --git a/figures/Chapter_2/Figure 2.2 - AAPL market liquidity according to the order book.png b/figures/Chapter_02/Figure 2.2 - AAPL market liquidity according to the order book.png
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diff --git a/figures/Chapter_2/Figure 2.3 - Tick bars.png b/figures/Chapter_02/Figure 2.3 - Tick bars.png
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diff --git a/figures/Chapter_2/Figure 2.4 - Time bars.png b/figures/Chapter_02/Figure 2.4 - Time bars.png
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diff --git a/figures/Chapter_2/Figure 2.5 - Bokeh candlestick plot.png b/figures/Chapter_02/Figure 2.5 - Bokeh candlestick plot.png
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diff --git a/figures/Chapter_2/Figure 2.6 - Volume bars.png b/figures/Chapter_02/Figure 2.6 - Volume bars.png
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diff --git a/figures/Chapter_2/Figure 2.7 - Dollar bars.png b/figures/Chapter_02/Figure 2.7 - Dollar bars.png
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diff --git a/figures/Chapter_2/Figure 2.8 - Plotly candlestick plot.png b/figures/Chapter_02/Figure 2.8 - Plotly candlestick plot.png
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diff --git a/figures/Chapter_2/Figure 2.9 - Zipline data access.png b/figures/Chapter_02/Figure 2.9 - Zipline data access.png
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diff --git a/figures/Chapter_3/Figure 3.1 - Usefulness and usage of alternative data (Source Ernst & Young, 2017).png b/figures/Chapter_03/Figure 3.1 - Usefulness and usage of alternative data (Source Ernst & Young, 2017).png
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rename from figures/Chapter_3/Figure 3.1 - Usefulness and usage of alternative data (Source Ernst & Young, 2017).png
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diff --git a/figures/Chapter_3/Figure 3.2 - OpenTable data summary.png b/figures/Chapter_03/Figure 3.2 - OpenTable data summary.png
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diff --git a/figures/Chapter_4/Figure 4.1 - Alpha factor research and execution workflow.png b/figures/Chapter_04/Figure 4.1 - Alpha factor research and execution workflow.png
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diff --git a/figures/Chapter_4/Figure 4.10 - Cumulative return by quantile for a 5-day holding period.png b/figures/Chapter_04/Figure 4.10 - Cumulative return by quantile for a 5-day holding period.png
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diff --git a/figures/Chapter_4/Figure 4.11 - Distribution of the period-wise return by factor quintile.png b/figures/Chapter_04/Figure 4.11 - Distribution of the period-wise return by factor quintile.png
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diff --git a/figures/Chapter_4/Figure 4.12 - Moving average of the IC for 5-day horizon.png b/figures/Chapter_04/Figure 4.12 - Moving average of the IC for 5-day horizon.png
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diff --git a/figures/Chapter_4/Figure 4.13 - IC by year.png b/figures/Chapter_04/Figure 4.13 - IC by year.png
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diff --git a/figures/Chapter_4/Figure 4.2 - Returns on various risk factors.png b/figures/Chapter_04/Figure 4.2 - Returns on various risk factors.png
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diff --git a/figures/Chapter_4/Figure 4.3 - Correlation between the VIX and the S&P 500.png b/figures/Chapter_04/Figure 4.3 - Correlation between the VIX and the S&P 500.png
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diff --git a/figures/Chapter_4/Figure 4.4 - Bollinger Bands and relative strength index.png b/figures/Chapter_04/Figure 4.4 - Bollinger Bands and relative strength index.png
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diff --git a/figures/Chapter_4/Figure 4.5 - Kalman filter as a graphical model.png b/figures/Chapter_04/Figure 4.5 - Kalman filter as a graphical model.png
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diff --git a/figures/Chapter_4/Figure 4.6 - Kalman filter versus moving average.png b/figures/Chapter_04/Figure 4.6 - Kalman filter versus moving average.png
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diff --git a/figures/Chapter_4/Figure 4.7 - Daubechies wavelets.png b/figures/Chapter_04/Figure 4.7 - Daubechies wavelets.png
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diff --git a/figures/Chapter_4/Figure 4.8 - Wavelet denoising with different thresholds.png b/figures/Chapter_04/Figure 4.8 - Wavelet denoising with different thresholds.png
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rename from figures/Appendix/Figure A.6 - PLUS_DMMINUS_DM for AAPL stock price.png
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diff --git a/figures/Appendix/Figure A.8 - Aroon Oscillator for the AAPL stock price series.png b/figures/Chapter_24 - Appendix/Figure A.8 - Aroon Oscillator for the AAPL stock price series.png
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rename from figures/Appendix/Figure A.8 - Aroon Oscillator for the AAPL stock price series.png
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rename from figures/Appendix/Figure A.9 - The three MACD series for the AAPL stock price series.png
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