搜索资源列表
K_MA.rar
- 股票交易预测 k线图绘制 5日均线，10日均线，20日均线，60日均线 计算,Stock forecast mapping k line 5 average, 10 average, 20 average, 60 days moving average calculation
RBF_BONUS_FORE
- 用径向神经网络对股票走势进行预测，效果不错-Using RBF to forecast stock
biyesheji
- 简单的bp算法 用c实现的 用于股票预测很实用-Bp simple algorithm using c to achieve the forecast for the stock is very practical
Stock-Forecaster-1
- Stock forecast program source code
Improved-Elman-share-price-forecast
- 以深 市 A股中的个股 中集集团(股票代号 ： 000039)fleJ 180天的实际收盘价的时间序列作为预测对象，提出基于改进的 Elman神经网络的个股价格预测模型，实验 结果取得较高的预测精度、较为稳定的预测效果和较快的收敛速度-CIMC Shenzhen A-share stocks (ticker symbol: 000 039) fleJ 180 days of the actual closing price time series as a predictor of
test1
- 股票预测，用于大家的股票预测，程序很精良，是大家的不错的一个选择。-Stock forecast, used for everyone s stock forecast, and the program is very excellent, is everyone s a good choice. Ha ha
data-mining-stock-forecast
- 数据挖掘之股票预测系列培训The data mining stock forecast series training-The data mining stock forecast series training
BP-neural-network-stock-prediction
- 本文是一片关于股票预测的论文，详细介绍了BP神经网络在股票预测中的应用。-This article is a stock forecast paper, detailing the application of BP neural network stock prediction.
stock-forecast
- 包含java版的股票预测以及matlab版的预测系统源码。包含的GUI界面-Contains the java version of the stock forecast as well as the predicted source matlab version. Contains the GUI interface
GARCH-model-forecast-
- 对NYSE股票日收盘价格，运用GARCH或者ARCH模型进行分析，并预测2012年5月1日到2012年5月9日的价格。将预测值与真实值对照，比较误差。-Closing stock price on the NYSE, using GARCH or ARCH models to analyze and predict the price May 1, 2012 to May 9, 2012 in. The predictive value and the true value control, m
stock-market-opening-price-forecast
- 神经网络上证股票开盘预测matlab程序 含有所需股票数据-The Shanghai stock market opening price forecast
8-indicators-forecast-weekly
- 8指标预测周线，主要对股票历史的8个指标，及即收盘价、开盘价、最高价、最低价等8个指标进行神经网络的学习，然后形成矩阵，对未来的走势进行预判断。-8 indicators forecast weekly, mainly on the stock history of 8 indicators, and the closing price, opening price, the highest price, the lowest price of 8 indicators of neural ne
【股市操练大全(习题集)】
- 股票预测，股票基础指南，股票习题，股票操盘(Stock forecast Stock base infomation best selected stock)
Forecast and Stock_timeSeries
- 利用灰色预测公司的利润；基于时间序列的股票价格预测(Profit from the grey Forecast Ltd; stock price prediction based on time series)
deecamp
- 利用LSTM进行股票预测，采用python编程(forecast the stock price with LSTM)
RL-Stock-master
- 使用强化学习完成股票预测。强化学习是机器学习的另一个分支，在决策的时候采取合适的行动 (Action) 使最后的奖励最大化。与监督学习预测未来的数值不同，强化学习根据输入的状态（如当日开盘价、收盘价等），输出系列动作（例如：买进、持有、卖出），使得最后的收益最大化，实现自动交易。(Using reinforcement learning to complete stock forecast)
predictStock-master
- AI人工智能技术股票预测python语音源代码，亲测可用(Source code of stock forecast of artificial intelligence technology)
stock-rnn-master
- 用深度学习算法进行股票价格预测，文件中含有数据集(Using deep learning algorithm to forecast stock price, the file contains data set)
预测
- 实验股票预测，输入前一天数据，自动预测后一天的成交价，输入：开盘价，最高价，最低价，收盘价，成交量(Experimentation stock forecast, input the data of the previous day, automatically forecast the trading price of the next day, input: opening price, maximum price, minimum price, closing price, volume)
stock_predict_with_LSTM-master
- 基于python的LSTM做股票预测源代码(Based on Python LSTM stock forecast source code)