股票智能预测系统（Python代码，可以自主选择预测模型，被预测的为每天的收盘价格，代码有详细注释），很容易替换为其它时序数据集，其它模型也很容易被加进去，已经留了增加其它模型的位置

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股票智能预测系统（Python代码，可以自主选择预测模型，被预测的为每天的收盘价格，代码有详细注释），很容易替换为其它时序数据集，其它模型也很容易被加进去，已经留了增加其它模型的位置

2023-06-02 23:34| 来源: 网络整理| 查看: 265

创作代码用时：10个小时。（运行视频：股票智能预测系统（Python代码，可以自主选择预测模型，很容易替换为其它数据集或增加模型）_哔哩哔哩_bilibili）

1.数据集（开始时间：2015-05-27点，截止时间：2020-05-22 ）

美股苹果公司股票

dateclosehighlowopenvolume2015-05-27 00:00:00+00:00132.045132.26130.05130.34458332462015-05-28 00:00:00+00:00131.78131.95131.1131.86307333092015-05-29 00:00:00+00:00130.28131.45129.9131.23508844522015-06-01 00:00:00+00:00130.535131.39130.05131.2321127972015-06-02 00:00:00+00:00129.96130.655129.32129.86336676272015-06-03 00:00:00+00:00130.12130.94129.9130.66309835422015-06-04 00:00:00+00:00129.36130.58128.91129.58384501182015-06-05 00:00:00+00:00128.65129.69128.36129.5356268002015-06-08 00:00:00+00:00127.8129.21126.83128.9526747862015-06-09 00:00:00+00:00127.42128.08125.62126.7560754202015-06-10 00:00:00+00:00128.88129.34127.85127.92390872502015-06-11 00:00:00+00:00128.59130.18128.475129.18353908872015-06-12 00:00:00+00:00127.17128.33127.11128.185368862462015-06-15 00:00:00+00:00126.92127.24125.71126.1439889462015-06-16 00:00:00+00:00127.6127.85126.37127.03314941312015-06-17 00:00:00+00:00127.3127.88126.74127.72329180712015-06-18 00:00:00+00:00127.88128.31127.22127.23354072202015-06-19 00:00:00+00:00126.6127.82126.4127.71547168872015-06-22 00:00:00+00:00127.61128.06127.08127.49340393452015-06-23 00:00:00+00:00127.03127.61126.8792127.48302688632015-06-24 00:00:00+00:00128.11129.8127.12127.21552808552015-06-25 00:00:00+00:00127.5129.2127.5128.86319381002015-06-26 00:00:00+00:00126.75127.99126.51127.67440668412015-06-29 00:00:00+00:00124.53126.47124.48125.46491614272015-06-30 00:00:00+00:00125.425126.12124.86125.5744370682

截止时间：

2020-05-01 00:00:00+00:00289.07299285.85286.25601541752020-05-04 00:00:00+00:00293.16293.69286.3172289.17333919862020-05-05 00:00:00+00:00297.56301294.46295.06369377952020-05-06 00:00:00+00:00300.63303.24298.87300.46355834382020-05-07 00:00:00+00:00303.74305.17301.97303.22288037642020-05-08 00:00:00+00:00310.13310.35304.29305.64335119852020-05-11 00:00:00+00:00315.01317.05307.24308.1364865612020-05-12 00:00:00+00:00311.41319.688310.91317.83405752632020-05-13 00:00:00+00:00307.65315.95303.21312.15501556392020-05-14 00:00:00+00:00309.54309.79301.53304.51397322692020-05-15 00:00:00+00:00307.71307.9300.21300.35415870942020-05-18 00:00:00+00:00314.96316.5310.3241313.17338431252020-05-19 00:00:00+00:00313.14318.52313.01315.03254323852020-05-20 00:00:00+00:00319.23319.52316.2316.68278762152020-05-21 00:00:00+00:00316.85320.89315.87318.66256722112020-05-22 00:00:00+00:00318.89319.23315.35315.7720450754

2.特征输入为前五天的收盘价格，标签是第六天的收盘价格（很容易替换输入特征为五个或多个的其它数据集）

模型有RNN、LSTM和CNN-LSTM模型，三个均被调整到各自最优结构,其它模型也很容易被加进去，已经留了增加其它模型的位置

3.效果

RNN模型

LSTM模型

CNN-LSTM模型

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