Search results
Results from the WOW.Com Content Network
Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.
Monte Carlo simulated stock price time series and random number generator (allows for choice of distribution), Steven Whitney; Discussion papers and documents. Monte Carlo Simulation, Prof. Don M. Chance, Louisiana State University; Pricing complex options using a simple Monte Carlo Simulation, Peter Fink (reprint at quantnotes.com)
Latency is the time lag in delivery of real-time data, i.e. the lower the latency, the faster the data transmission speed. Processing of large amounts of data with minimal delay is low latency. The delivery of data has increased in speed dramatically since 2010, with "low" latency delivery meaning delivery under 1 millisecond.
Probabilistic reasoning has been used for a wide variety of tasks such as predicting stock prices, recommending movies, diagnosing computers, detecting cyber intrusions and image detection. [4] However, until recently (partially due to limited computing power), probabilistic programming was limited in scope, and most inference algorithms had to ...
Order flow analysis allows traders to see what type of orders are being placed at a certain time in the market, e.g. the amount of Buy and Sell orders at a given price point. [3] Traders can use Order Flow analysis to see the subsequent impact on the price of the market by these orders and therefore make predictions on the future price and ...
Financial market simulators allow users to generate a portfolio based on real stock entries and help them train with virtual currency.Most of the currently active financial simulators use a delayed data feed of between 15 and 20 minutes to ensure that users cannot use their data to trade actively on a competing system.
[33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44] TensorFlow provides a stable Python Application Program Interface , [45] as well as APIs without backwards compatibility guarantee for Javascript, [46] C++, [47] and Java.
In many cases, the repositories of time-series data will utilize compression algorithms to manage the data efficiently. [ 3 ] [ 4 ] Although it is possible to store time-series data in many different database types, the design of these systems with time as a key index is distinctly different from relational databases which reduce discrete ...