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Algorithmic Trading Models — Cumulative Sums Filter
Author(s): Dhruva Krishnamurthy In the sixth article of this series, we will continue to summarise a collection of commonly used technical analysis trading models that… Continue reading on Towards AI » Published via Towards AI …
Finding Time-shift Between Two Timeseries for Maximum Correlation
Author(s): Rahul Bhadani Just a few lines of code to find a maximum correlation between two timeseries by retrieving appropriate time-shift Continue reading on Towards AI » Published via Towards AI …
Electricity production forecasting using ARIMA model in Python
Author(s): Jayashree domala Data Visualization Electricity Production Forecasting Using Arima Model in Python A guide to the step-by-step implementation of ARIMA models using Python. Photo by Matthew Henry (Unsplash) ARIMA which is the short form for ‘Auto-Regressive Integrated Moving Average’ is used on time …
Procedural OCHL Stock Generator
Author(s): Michelangiolo Mazzeschi Procedurally generating synthetic stock data for simulation purposes. Full code available at my repo. Continue reading on Towards AI » Published via Towards AI …
ANTM Stocks Visualization with Plotly and Mplfinance
Author(s): Ronny Fahrudin How to building candlestick in python? Continue reading on Towards AI » Published via Towards AI …
Algorithmic Trading Models — Cyclical Methods
Author(s): Dhruva Krishnamurthy In the fourth article of this series, we will continue to summarise a collection of commonly used technical analysis trading models that… Continue reading on Towards AI » Published via Towards AI …
Scatter Plot and Line Chart Dashboard in Plotly with Python
Author(s): Amit Chauhan Visualization with Plotly Continue reading on Towards AI » Published via Towards AI …
Movie Proximity in the N-Dimensional Space, Using PCA for Data Visualization
Author(s): Michelangiolo Mazzeschi Compressing 21 dimensions of numerical data into 3, then graphing the results in 3D Continue reading on Towards AI » Published via Towards AI …
Tweet Topic Modeling Part 4: Visualizing Topic Modeling Results with Plotly
Author(s): John Bica Multi-part series showing how to scrape, preprocess, and apply & visualize short text topic modeling for any collection of tweets Continue reading on Towards AI » Published via Towards AI …
Tweet Topic Modeling Part 3: Using Short Text Topic Modeling on Tweets
Author(s): John Bica Multi-part series showing how to scrape, preprocess, and apply & visualize short text topic modeling for any collection of tweets Continue reading on Towards AI » Published via Towards AI …
Predicting the Future With AI
Author(s): Leonardo Savasta Time Series Analysis of Ethereum daily prices using the ARIMA Model Continue reading on Towards AI » Published via Towards AI …
Exploring dataset with Data Visualization: Wine Classification using PCA
Author(s): Michelangiolo Mazzeschi Can I tell how good is my data and how good can my model be just looking at the data? Full code available at my repo. Continue reading on Towards AI » Published via Towards AI …
Algorithmic Trading Models — Oscillators
Author(s): Dhruva Krishnamurthy In the third article of this series, we will continue to summarise a collection of commonly used technical analysis trading models that… Continue reading on Towards AI » Published via Towards AI …
Yeetum Weekly Quant Report
Author(s): Michelangiolo Mazzeschi The latest news from a quantitative finance perspective on cryptocurrencies Continue reading on Towards AI » Published via Towards AI …
Interactive COVID-19 Dashboard With Chatbot and Prediction Capabilities
Author(s): Daksh Trehan Data Visualization A Practical Way to show-off Machine Learning skills and help the globe around. COVID-19 can be marked as the preeminent highlight of the decade, and the vague information spread can be regarded as a matter of concern. Due …
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