The project employs an automated time series forecasting approach using the autots library. This involves leveraging several machine learning algorithms internally to make predictions about future values based on historical data.

Flutter cryptocurrency application for showing some markets status and crypto prices with linear and candlestick chart with ability of time period filtering.

Go server for an embedded React app with trading view charts

Virtual stock exchange bot to use virtual currency in the real world market

A single day (Dec 4th, 2020) Candlestick chart, using d3 and React for AAPL based on NASDAQ ticker events for that day.

Simple BTC/EUR real time chart using data from Binance REST API and Kraken WebSocket API and Highcharts for visualization.

To display stock data in candlestick form

an interactive candle-stick chart for technical analysis of a financial asset using Plotly

description of okAiBot

React and D3 based japanese candlestick chart component

Using PyCaret to Predict Apple Stock Prices

Platform for NYSE & NASDAQ stocks to display RSI, P/E, P/B, EPS, CAP and candlestick chart with fibonacci + 6 latest news. This also calculates sector averages for RSI, P/E and P/B for displaying BUY | HOLD | SELL images on tables.

This was a school project where we worked together to create a program that displayed and analyzed candlestick stock patterns.

This app uses a market data API to fetch stock price histroy data on open, close, high and low points for a given stock and plots the data in a candle chart.

This program shows how to create an interactive candlestick chart in python using Plotly.

Get market data (candles) from Binance exchange

Quarto projeto em python focado em criação de visualizações e gráficos usando as bibliotecas do python seaborn e matplolib. Foram usados datasets relacionados aos dados do site de filmes IMDB

Python codes to access various blockchain APIs and programatically trade cryptocurriences.

Create and deploy a candlestick chart

Ứng dụng cho phép người dung chọn mẫu hình mà mình muốn phân tích trong số các mẫu hình đồ thị nến Nhật Bản, quét và nhận dạng các mẫu hình đó xuất hiện trong tất cả chỉ số giá cổ phiếu của các công ty S&P500 trong thời gian ngày thứ N-1 và đưa ra kết quả dự đoán xu hướng trong ngày hiện tại (N).