Advanced Algorithmic Trading(原书加代码)2017年最新版,包含所有源码。
代码片段和文件信息
属性 大小 日期 时间 名称
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目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-markov-chain-monte-carlo
文件 1675 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-markov-chain-monte-carloayes-binomial-mcmc.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-serial-correlation
文件 571 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-serial-correlationserial_cor.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-hidden-markov-models
文件 2936 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-hidden-markov-modelshmm.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-models
文件 2142 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-modelsarima_models.R
文件 1543 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-modelsgarch_models.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-state-space-models-kalman-filter
文件 3044 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-state-space-models-kalman-filterkalman_filter_dynamic_hedge_ratio.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-binomial-proportion
文件 604 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-binomial-proportioneta_plot.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-intro-to-bayesian-methods
文件 1835 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-intro-to-bayesian-methodseta_binomial.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategies
文件 718 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesstrategic_weight_etf_portfolio_backtest.py
文件 718 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesequal_weight_etf_portfolio_backtest.py
文件 3182 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesmonthly_rebalance_run.py
文件 540 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesequities_bonds_60_40_etf_portfolio_backtest.py
文件 14657322 2017-07-11 12:41 aat-ebook-full-source-code-20170711aat-ebook-20170711.pdf
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-model
文件 484 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelexponential_plot.py
文件 495 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelstudent_t_plot.py
文件 2751 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelpymc3_bayes_stochastic_vol.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-models
文件 2541 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsma_models.R
文件 2227 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsar_models.R
文件 2431 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsarma_models.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-machine-learning-natural-language-processing
............此处省略42个文件信息
# beta_plot.py
import numpy as np
from scipy.stats import beta
import matplotlib.pyplot as plt
import seaborn as sns
if __name__ == “__main__“:
sns.set_palette(“deep“ desat=.6)
sns.set_context(rc={“figure.figsize“: (8 4)})
x = np.linspace(0 1 100)
params = [
(0.5 0.5)
(1 1)
(4 3)
(2 5)
(6 6)
]
for p in params:
y = beta.pdf(x p[0] p[1])
plt.plot(x y label=“$\alpha=%s$ $\beta=%s$“ % p)
plt.xlabel(“$\theta$ Fairness“)
plt.ylabel(“Density“)
plt.legend(title=“Parameters“)
plt.show()
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-markov-chain-monte-carlo
文件 1675 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-markov-chain-monte-carloayes-binomial-mcmc.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-serial-correlation
文件 571 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-serial-correlationserial_cor.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-hidden-markov-models
文件 2936 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-hidden-markov-modelshmm.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-models
文件 2142 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-modelsarima_models.R
文件 1543 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arima-garch-modelsgarch_models.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-state-space-models-kalman-filter
文件 3044 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-state-space-models-kalman-filterkalman_filter_dynamic_hedge_ratio.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-binomial-proportion
文件 604 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-binomial-proportioneta_plot.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-intro-to-bayesian-methods
文件 1835 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-intro-to-bayesian-methodseta_binomial.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategies
文件 718 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesstrategic_weight_etf_portfolio_backtest.py
文件 718 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesequal_weight_etf_portfolio_backtest.py
文件 3182 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesmonthly_rebalance_run.py
文件 540 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-trading-strategies-introductory-portfolio-strategiesequities_bonds_60_40_etf_portfolio_backtest.py
文件 14657322 2017-07-11 12:41 aat-ebook-full-source-code-20170711aat-ebook-20170711.pdf
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-model
文件 484 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelexponential_plot.py
文件 495 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelstudent_t_plot.py
文件 2751 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-bayesian-statistics-stochastic-volatility-modelpymc3_bayes_stochastic_vol.py
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-models
文件 2541 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsma_models.R
文件 2227 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsar_models.R
文件 2431 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-time-series-analysis-arma-modelsarma_models.R
目录 0 2017-07-11 12:41 aat-ebook-full-source-code-20170711chapter-machine-learning-natural-language-processing
............此处省略42个文件信息
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