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项目使用Flutter进行开发，同时支持Andriod与iOS。支持财经新闻阅读、实时大盘指数、实时沪深行情、k线查看、登录、网页查看、侧边栏、系統分享、微信分享等功能

Java 0.65% Objective-C 0.69% Dart 96.65% Ruby 2.01%

flutter_stocks's Introduction

Flutter_Stocks

博客地址：https://blog.csdn.net/u010123643/article/details/83583263

重大修改

因为原有新闻数据为爬取华尔街见闻全球资讯，由于爬虫失效，腾讯新闻也有限制，现更改为网易新闻数据

子不语股票

"子不语股票" 支持财经新闻阅读、实时大盘指数、实时沪深行情、k线查看、分享、登录、网页查看、侧边栏等功能

项目

项目使用Flutter进行开发，同时支持Andriod与iOS.

截图

主界面

新闻、指数、沪深股票详情

我的

启动页、登录、侧边栏

底部按钮主题切换

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flutter_stocks's Issues

new

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

If tou want, Please read the readme , and in case of any problem you can contact me ,
If you are convinced try to install it with the documentation.
https://github.com/Leci37/LecTrade/tree/develop I appreciate the feedback

是否可以支持根据技术指标选股呢，比如20日均线金叉60日均线等
是否有开发PC版本的计划呢