Merge pull request #118 from deepak079/docs/change-notebook-links

Docs/change notebook links
hudson-and-thames · May 19, 2024 · 9f38ac7 · 9f38ac7
2 parents 9df60a8 + 2f3e79f
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diff --git a/docs/source/codependence/codependence_marti.rst b/docs/source/codependence/codependence_marti.rst
@@ -255,7 +255,7 @@ The following research notebook can be used to better understand the codependenc
 
 * `Codependence by Marti`_
 
-.. _`Codependence by Marti`: https://hudsonthames.org/notebooks/arblab/codependence_by_marti.html
+.. _`Codependence by Marti`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Codependence%20Module/Codependence%20by%20Marti/codependence_by_marti.ipynb
 
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diff --git a/docs/source/codependence/optimal_transport.rst b/docs/source/codependence/optimal_transport.rst
@@ -255,7 +255,7 @@ The following research notebook can be used to better understand the optimal cop
 
 * `Optimal Transport`_
 
-.. _`Optimal Transport`: https://hudsonthames.org/notebooks/arblab/optimal_transport.html
+.. _`Optimal Transport`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Codependence%20Module/Optimal%20Transport/optimal_transport.ipynb
 
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diff --git a/docs/source/cointegration_approach/cointegration_tests.rst b/docs/source/cointegration_approach/cointegration_tests.rst
@@ -257,7 +257,7 @@ Research Notebooks
 
 * `Mean Reversion`_
 
-.. _`Mean Reversion`: https://hudsonthames.org/notebooks/arblab/mean_reversion.html
+.. _`Mean Reversion`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/mean_reversion.ipynb
 
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diff --git a/docs/source/cointegration_approach/minimum_profit.rst b/docs/source/cointegration_approach/minimum_profit.rst
@@ -311,7 +311,7 @@ Research Notebooks
 
 * `Minimum Profit Optimization`_
 
-.. _`Minimum Profit Optimization`: https://hudsonthames.org/notebooks/arblab/minimum_profit_optimization.html
+.. _`Minimum Profit Optimization`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/minimum_profit_optimization.ipynb
 
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diff --git a/docs/source/cointegration_approach/minimum_profit_simulation.rst b/docs/source/cointegration_approach/minimum_profit_simulation.rst
@@ -132,7 +132,7 @@ Research Notebooks
 
 * `Minimum Profit Optimization`_
 
-.. _`Minimum Profit Optimization`: https://hudsonthames.org/notebooks/arblab/minimum_profit_optimization.html
+.. _`Minimum Profit Optimization`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/minimum_profit_optimization.ipynb
 
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diff --git a/docs/source/cointegration_approach/multivariate_cointegration.rst b/docs/source/cointegration_approach/multivariate_cointegration.rst
@@ -189,7 +189,7 @@ The following research notebook can be used to better understand the Multivariat
 
 * `Multivariate Cointegration Strategy`_
 
-.. _`Multivariate Cointegration Strategy`: https://hudsonthames.org/notebooks/arblab/multivariate_cointegration.html
+.. _`Multivariate Cointegration Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/multivariate_cointegration.ipynb
 
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diff --git a/docs/source/cointegration_approach/sparse_mr_portfolio.rst b/docs/source/cointegration_approach/sparse_mr_portfolio.rst
@@ -716,7 +716,7 @@ portfolio selection module.
 
 * `Sparse Mean-reverting Portfolio Selection`_
 
-.. _`Sparse Mean-reverting Portfolio Selection`: https://hudsonthames.org/notebooks/arblab/sparse_mean-reverting_portfolio_selection.html
+.. _`Sparse Mean-reverting Portfolio Selection`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/sparse_mean-reverting_portfolio_selection.ipynb
 
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diff --git a/docs/source/copula_approach/copula_brief_intro.rst b/docs/source/copula_approach/copula_brief_intro.rst
@@ -348,7 +348,7 @@ The following research notebook can be used to better understand the basic copul
 
 * `Basic Copula Strategy`_
 
-.. _`Basic Copula Strategy`: https://hudsonthames.org/notebooks/arblab/Copula_Strategy_Basic.html
+.. _`Basic Copula Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/Copula_Strategy_Basic.ipynb
 
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diff --git a/docs/source/copula_approach/cvine_copula_strategy.rst b/docs/source/copula_approach/cvine_copula_strategy.rst
@@ -368,7 +368,7 @@ The following research notebook can be used to better understand the C-Vine copu
 
 * `C-Vine Copula Strategy`_
 
-.. _`C-Vine Copula Strategy`: https://hudsonthames.org/notebooks/arblab/CVine_Copula_Strategy.html
+.. _`C-Vine Copula Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/CVine_Copula_Strategy.ipynb
 
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diff --git a/docs/source/copula_approach/partner_selection.rst b/docs/source/copula_approach/partner_selection.rst
@@ -366,7 +366,7 @@ The following research notebook can be used to better understand the partner sel
 
 * `Vine Copula Partner Selection Approaches`_
 
-.. _`Vine Copula Partner Selection Approaches`: https://hudsonthames.org/notebooks/arblab/Vine_copula_partner_selection.html
+.. _`Vine Copula Partner Selection Approaches`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/vine_copula_partner_selection.ipynb
 
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diff --git a/docs/source/copula_approach/vine_copula_intro.rst b/docs/source/copula_approach/vine_copula_intro.rst
@@ -425,7 +425,7 @@ The following research notebook can be used to better understand the vine copula
 
 * `C-Vine Copula Strategy`_
 
-.. _`C-Vine Copula Strategy`: https://hudsonthames.org/notebooks/arblab/CVine_Copula_Strategy.html
+.. _`C-Vine Copula Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/CVine_Copula_Strategy.ipynb
 
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diff --git a/docs/source/data/futures_rollover.rst b/docs/source/data/futures_rollover.rst
@@ -178,7 +178,7 @@ The following research notebook can be used to better understand the implementat
 
 * `Futures Rollover`_ - showcases the use of various rollers on specific contracts.
 
-.. _`Futures Rollover`: https://hudsonthames.org/notebooks/arblab/futures_rollover.html
+.. _`Futures Rollover`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/futures_rollover.ipynb
 
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diff --git a/docs/source/distance_approach/distance_approach.rst b/docs/source/distance_approach/distance_approach.rst
@@ -313,15 +313,15 @@ The following research notebook can be used to better understand the distance ap
 
 * `Basic Distance Approach`_
 
-.. _`Basic Distance Approach`: https://hudsonthames.org/notebooks/arblab/basic_distance_approach.html
+.. _`Basic Distance Approach`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Distance%20Approach/basic_distance_approach.ipynb
 
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     <a href="https://hudsonthames.org/notebooks_zip/arblab/basic_distance_approach.zip"><button style="margin: 20px; margin-top: 0px">Download Notebook</button></a>
 
 * `Basic Distance Approach Comparison`_
 
-.. _`Basic Distance Approach Comparison`: https://hudsonthames.org/notebooks/arblab/basic_distance_approach_comparison.html
+.. _`Basic Distance Approach Comparison`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Distance%20Approach/basic_distance_approach_comparsion.ipynb
 
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diff --git a/docs/source/distance_approach/pearson_approach.rst b/docs/source/distance_approach/pearson_approach.rst
@@ -229,7 +229,7 @@ The following research notebook can be used to better understand the Pearson app
 
 * `Pearson Distance Approach`_
 
-.. _`Pearson Distance Approach`: https://hudsonthames.org/notebooks/arblab/pearson_distance_approach.html
+.. _`Pearson Distance Approach`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Distance%20Approach/pearson_distance_approach.ipynb
 
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diff --git a/docs/source/hedge_ratios/hedge_ratios.rst b/docs/source/hedge_ratios/hedge_ratios.rst
@@ -257,7 +257,7 @@ The following research notebook can be used to better understand the hedge ratio
 
 * `Hedge Ratios`_
 
-.. _`Hedge Ratios`: https://hudsonthames.org/notebooks/arblab/hedge_ratios.html
+.. _`Hedge Ratios`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Hedge%20Ratios/hedge_ratios.ipynb
 
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diff --git a/docs/source/ml_approach/ml_based_pairs_selection.rst b/docs/source/ml_approach/ml_based_pairs_selection.rst
@@ -254,7 +254,7 @@ The following research notebook can be used to better understand the Pairs Selec
 
 * `ML based Pairs Selection`_
 
-.. _`ML based Pairs Selection`: https://hudsonthames.org/notebooks/arblab/ml_based_pairs_selection.html
+.. _`ML based Pairs Selection`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/ml_based_pairs_selection.ipynb
 
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diff --git a/docs/source/ml_approach/spread_modeling.rst b/docs/source/ml_approach/spread_modeling.rst
@@ -125,15 +125,15 @@ The following research notebooks can be used to better understand the components
 
 * `Crack Spread Modeling`_ - showcases the use of the filters and networks on the crack spread.
 
-.. _`Crack Spread Modeling`: https://hudsonthames.org/notebooks/arblab/crack_spread_modeling.html
+.. _`Crack Spread Modeling`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/crack_spread_modeling.ipynb
 
 .. raw:: html
 
     <a href="https://hudsonthames.org/notebooks_zip/arblab/crack_spread_modeling.zip"><button style="margin: 20px; margin-top: 0px">Download Notebook</button></a>
 
 * `Fair Value Modeling`_ - showcases the use of the TAR model on the crack spread.
 
-.. _`Fair Value Modeling`: https://hudsonthames.org/notebooks/arblab/fair_value_modeling.html
+.. _`Fair Value Modeling`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/fair_value_modeling.ipynb
 
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diff --git a/docs/source/ml_approach/threshold_ar.rst b/docs/source/ml_approach/threshold_ar.rst
@@ -131,7 +131,7 @@ The following research notebooks can be used to better understand the components
 
 * `Fair Value Modeling`_ - showcases the use of the TAR model on the crack spread.
 
-.. _`Fair Value Modeling`: https://hudsonthames.org/notebooks/arblab/fair_value_modeling.html
+.. _`Fair Value Modeling`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/fair_value_modeling.ipynb
 
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diff --git a/docs/source/optimal_mean_reversion/cir_model.rst b/docs/source/optimal_mean_reversion/cir_model.rst
@@ -374,7 +374,7 @@ The following research notebook can be used to better understand the concepts of
 
 * `Trading Under the Cox-Ingersoll-Ross Model`_
 
-.. _`Trading Under the Cox-Ingersoll-Ross Model`: https://hudsonthames.org/notebooks/arblab/cir_model.html
+.. _`Trading Under the Cox-Ingersoll-Ross Model`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Optimal%20Mean%20Reversion/cir_model.ipynb
 
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diff --git a/docs/source/optimal_mean_reversion/heat_potentials.rst b/docs/source/optimal_mean_reversion/heat_potentials.rst
@@ -230,7 +230,7 @@ The following research notebook can be used to better understand the concepts of
 
 * `Heat Potentials`_
 
-.. _`Heat Potentials`: https://hudsonthames.org/notebooks/arblab/heat_potentials.html
+.. _`Heat Potentials`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Optimal%20Mean%20Reversion/heat_potentials.ipynb
 
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diff --git a/docs/source/optimal_mean_reversion/ou_model.rst b/docs/source/optimal_mean_reversion/ou_model.rst
@@ -641,7 +641,7 @@ The following research notebook can be used to better understand the concepts of
 
 * `Trading Under the Ornstein-Uhlenbeck Model`_
 
-.. _`Trading Under the Ornstein-Uhlenbeck Model`: https://hudsonthames.org/notebooks/arblab/ou_model.html
+.. _`Trading Under the Ornstein-Uhlenbeck Model`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Optimal%20Mean%20Reversion/ou_model.ipynb
 
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diff --git a/docs/source/optimal_mean_reversion/xou_model.rst b/docs/source/optimal_mean_reversion/xou_model.rst
@@ -360,7 +360,7 @@ The following research notebook can be used to better understand the concepts of
 
 * `Trading Under the Exponential Ornstein-Uhlenbeck Model`_
 
-.. _`Trading Under the Exponential Ornstein-Uhlenbeck Model`: https://hudsonthames.org/notebooks/arblab/xou_model.html
+.. _`Trading Under the Exponential Ornstein-Uhlenbeck Model`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Optimal%20Mean%20Reversion/xou_model.ipynb
 
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diff --git a/docs/source/other_approaches/kalman_filter.rst b/docs/source/other_approaches/kalman_filter.rst
@@ -216,7 +216,7 @@ The following research notebook can be used to better understand the Kalman Filt
 
 * `Kalman Filter`_
 
-.. _`Kalman Filter`: https://hudsonthames.org/notebooks/arblab/kalman_filter.html
+.. _`Kalman Filter`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Other%20Approaches/kalman_filter.ipynb
 
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diff --git a/docs/source/other_approaches/pca_approach.rst b/docs/source/other_approaches/pca_approach.rst
@@ -345,7 +345,7 @@ The following research notebook can be used to better understand the PCA approac
 
 * `PCA Approach`_
 
-.. _`PCA Approach`: https://hudsonthames.org/notebooks/arblab/pca_approach.html
+.. _`PCA Approach`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Other%20Approaches/pca_approach.ipynb
 
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diff --git a/docs/source/spread_selection/cointegration_spread_selection.rst b/docs/source/spread_selection/cointegration_spread_selection.rst
@@ -130,7 +130,7 @@ The following research notebook can be used to better understand the Cointegrati
 
 * `ML based Pairs Selection`_
 
-.. _`ML based Pairs Selection`: https://hudsonthames.org/notebooks/arblab/ml_based_pairs_selection.html
+.. _`ML based Pairs Selection`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/ML%20Approach/ml_based_pairs_selection.ipynb
 
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diff --git a/docs/source/stochastic_control_approach/ou_model_jurek.rst b/docs/source/stochastic_control_approach/ou_model_jurek.rst
@@ -517,7 +517,7 @@ The following research notebook can be used to better understand the approach de
 
 * `Dynamic Portfolio Selection in Arbitrage`_
 
-.. _`Dynamic Portfolio Selection in Arbitrage`: https://hudsonthames.org/notebooks/arblab/OU_Model_Jurek.html
+.. _`Dynamic Portfolio Selection in Arbitrage`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Stochastic%20Control%20Approach/OU_Model_Jurek.ipynb
 
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diff --git a/docs/source/stochastic_control_approach/ou_model_mudchanatongsuk.rst b/docs/source/stochastic_control_approach/ou_model_mudchanatongsuk.rst
@@ -226,7 +226,7 @@ The following research notebook can be used to better understand the approach de
 
 * `Optimal Pairs Trading A Stochastic Control Approach`_
 
-.. _`Optimal Pairs Trading A Stochastic Control Approach`: https://hudsonthames.org/notebooks/arblab/OU_Model_Mudchanatongsuk.html
+.. _`Optimal Pairs Trading A Stochastic Control Approach`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Stochastic%20Control%20Approach/OU_Model_Mudchanatongsuk.ipynb
 
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diff --git a/docs/source/time_series_approach/h_strategy.rst b/docs/source/time_series_approach/h_strategy.rst
@@ -375,7 +375,7 @@ The following research notebook can be used to better understand the method desc
 
 * `H-Strategy`_
 
-.. _`H-Strategy`: https://hudsonthames.org/notebooks/arblab/H_strategy.html
+.. _`H-Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Time%20Series%20Approach/H_strategy.ipynb
 
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diff --git a/docs/source/time_series_approach/ou_optimal_threshold_bertram.rst b/docs/source/time_series_approach/ou_optimal_threshold_bertram.rst
@@ -265,7 +265,7 @@ The following research notebook can be used to better understand the method desc
 
 * `OU Model Optimal Trading Thresholds Bertram`_
 
-.. _`OU Model Optimal Trading Thresholds Bertram`: https://hudsonthames.org/notebooks/arblab/ou_model_optimal_threshold_Bertram.html
+.. _`OU Model Optimal Trading Thresholds Bertram`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Time%20Series%20Approach/ou_model_optimal_threshold_Bertram.ipynb
 
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diff --git a/docs/source/time_series_approach/ou_optimal_threshold_zeng.rst b/docs/source/time_series_approach/ou_optimal_threshold_zeng.rst
@@ -340,7 +340,7 @@ The following research notebook can be used to better understand the method desc
 
 * `OU Model Optimal Trading Thresholds Zeng`_
 
-.. _`OU Model Optimal Trading Thresholds Zeng`: https://hudsonthames.org/notebooks/arblab/ou_model_optimal_threshold_Zeng.html
+.. _`OU Model Optimal Trading Thresholds Zeng`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Time%20Series%20Approach/ou_model_optimal_threshold_Zeng.ipynb
 
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diff --git a/docs/source/time_series_approach/quantile_time_series_strategy.rst b/docs/source/time_series_approach/quantile_time_series_strategy.rst
@@ -238,7 +238,7 @@ The following research notebook can be used to better understand the time series
 
 * `Quantile Time Series Strategy`_
 
-.. _`Quantile Time Series Strategy`: https://hudsonthames.org/notebooks/arblab/quantile_time_series.html
+.. _`Quantile Time Series Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Time%20Series%20Approach/quantile_time_series.ipynb
 
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diff --git a/docs/source/time_series_approach/regime_switching_arbitrage_rule.rst b/docs/source/time_series_approach/regime_switching_arbitrage_rule.rst
@@ -333,7 +333,7 @@ The following research notebook can be used to better understand the strategy de
 
 * `Statistical Arbitrage Strategy Based on the Markov Regime-Switching Model`_
 
-.. _`Statistical Arbitrage Strategy Based on the Markov Regime-Switching Model`: https://hudsonthames.org/notebooks/arblab/regime_switching_arbitrage_rule.html
+.. _`Statistical Arbitrage Strategy Based on the Markov Regime-Switching Model`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Time%20Series%20Approach/regime_switching_arbitrage_rule.ipynb
 
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diff --git a/docs/source/trading/basic_copula.rst b/docs/source/trading/basic_copula.rst
@@ -188,7 +188,7 @@ The following research notebook can be used to better understand the copula stra
 
 * `Basic Copula Strategy`_
 
-.. _`Basic Copula Strategy`: https://hudsonthames.org/notebooks/arblab/Copula_Strategy_Basic.html
+.. _`Basic Copula Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/Copula_Strategy_Basic.ipynb
 
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diff --git a/docs/source/trading/minimum_profit.rst b/docs/source/trading/minimum_profit.rst
@@ -115,7 +115,7 @@ The following research notebook can be used to better understand the Strategy de
 
 * `Minimum Profit Optimization`_
 
-.. _`Minimum Profit Optimization`: https://hudsonthames.org/notebooks/arblab/minimum_profit_optimization.html
+.. _`Minimum Profit Optimization`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/minimum_profit_optimization.ipynb
 
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diff --git a/docs/source/trading/mispricing_index_strategy.rst b/docs/source/trading/mispricing_index_strategy.rst
@@ -337,7 +337,7 @@ The following research notebook can be used to better understand the copula stra
 
 * `Mispricing Index Copula Strategy`_
 
-.. _`Mispricing Index Copula Strategy`: https://hudsonthames.org/notebooks/arblab/Copula_Strategy_Mispricing_Index.html
+.. _`Mispricing Index Copula Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Copula%20Approach/Copula_Strategy_Mispricing_Index.ipynb
 
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diff --git a/docs/source/trading/multi_coint.rst b/docs/source/trading/multi_coint.rst
@@ -118,7 +118,7 @@ The following research notebook can be used to better understand the Strategy de
 
 * `Multivariate Cointegration Strategy`_
 
-.. _`Multivariate Cointegration Strategy`: https://hudsonthames.org/notebooks/arblab/multivariate_cointegration.html
+.. _`Multivariate Cointegration Strategy`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/multivariate_cointegration.ipynb
 
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diff --git a/docs/source/trading/z_score.rst b/docs/source/trading/z_score.rst
@@ -124,7 +124,7 @@ The following research notebook can be used to better understand trading strateg
 
 * `Mean Reversion`_
 
-.. _`Mean Reversion`: https://hudsonthames.org/notebooks/arblab/mean_reversion.html
+.. _`Mean Reversion`: https://github.com/hudson-and-thames/arbitrage_research/blob/master/Cointegration%20Approach/mean_reversion.ipynb
 
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