In the statistics of time series, and in particular the stock market technical analysis, a moving-average crossover occurs when, on plotting two moving averages each based on different degrees of smoothing, the traces of these moving averages cross. It does not predict future direction but shows trends. This indicator uses two (or more) moving averages, a slower moving average and a faster moving average. The faster moving average is a short term moving average. For end-of-day stock markets, for example, it may be 5-, 10- or 25-day period while the slower moving average is medium or long term moving average (e.g. 50-, 100- or 200-day period). A short term moving average is faster because it only considers prices over short period of time and is thus more reactive to daily price changes. On the other hand, a long term moving average is deemed slower as it encapsulates prices over a longer period and is more lethargic. However, it tends to smooth out price noises which are often reflected in short term moving averages. A moving average, as a line by itself, is often overlaid in price charts to indicate price trends. A crossover occurs when a faster moving average (i.e., a shorter period moving average) crosses a slower moving average (i.e. a longer period moving average). In other words, this is when the shorter period moving average line crosses a longer period moving average line. In stock investing, this meeting point is used either to enter (buy or sell) or exit (sell or buy) the market. The particular case where simple equally weighted moving-averages are used is sometimes called a simple moving-average (SMA) crossover. Such a crossover can be used to signal a change in trend and can be used to trigger a trade in a black box trading system. There are several types of moving average cross traders use in trading. Golden cross occurs when 50 days simple moving average crosses 200 days simple moving average from below. Death cross is an opposite situation, when 50 days simple moving average crosses 200 days simple moving average from above. Death cross is not a reliable indicator of future market declines. (Wikipedia).
I recently uploaded 200 videos that are much more concise with excellent graphics. Click the link in the upper right-hand corner of this video. It will take you to my youtube channel where videos are arranged in playlists. In this older video: Understanding standard deviation, variance
From playlist Older Statistics Videos and Other Math Videos
Stock Trading With Simple Moving Averages, Trend Reversals, and Crossovers
This stock trading video provides a basic introduction into simple moving averages. It explains how to calculate the SMA 5 and how to use it to determine if a stock is an uptrend or downtrend. It explains how to use simple moving averages as technical indicators to identify trend reversa
From playlist Stocks and Bonds
Statistics: Ch 4 Probability in Statistics (10 of 74) Random Walk: Average Displacement
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We learned from previous video each of the random walks is the average displacement is SQRT(n)=3.16, where n=number of tosses. Next
From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY
Average velocity vs. average speed
Average velocity vs. average speed
From playlist Sect 3.7, Applications of derivative, (rate of change)
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Time Series Talk : Moving Average and ACF
How to find the order of your Moving Average Model
From playlist Time Series Analysis
Live Bitcoin Trading Session +8% in 30 minutes
Update: https://www.youtube.com/watch?v=ab4wZewtMZM ...Trend investing appears to be the best option, however. More on this in a later video. This video is a 2x speed of a live ~30 minute Bitcoin trading session from earlier today. Trading was done with ~$250 ish starting in Bitcoin.
From playlist Bitcoin
Diffusion, Super-Diffusion and Non-Local Linear Response in Anomalous Transport by Anupam Kundu
DISCUSSION MEETING: STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS: Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE: 19 December 20
From playlist Statistical Physics of Complex Systems - 2022
Evolution Strategy - Part 5 - Crossover Operators
This video is about Evolution Strategy - Part 5 - Crossover Operators
From playlist Optimization
Spatio-temporal correlations across the melting of 2D Wigner molecules by Amit Ghosal
29 May 2017 to 02 June 2017 VENUE: Ramanujan Lecture Hall, ICTS Bangalore This program aims to bring together people working on classical and quantum systems with disorder and interactions. The extensive exploration, through experiments, simulations and model calculations, of growing cor
From playlist Correlation and Disorder in Classical and Quantum Systems
Python and Pandas for Sentiment Analysis and Investing 6 - Basics for a Strategy
Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containi
From playlist Python with Pandas and Sentiment Analysis for Investing
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
Bitcoin Algo and Automated Trading Update
This video is an update to the 8% in 30 minutes Bitcoin trading video. I have been getting a bunch of emails regarding that video and this should serve as an update for where things are now. SeaofBTC.com Sentdex.com Facebook.com/sentdex Twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJ
From playlist Bitcoin
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Measures of Variation
From playlist Statistics
Measuring Variation: Range and Standard Deviation
This lesson explains how to determine the range and standard deviation for a set of data. Site: http://mathispower4u.com
From playlist Statistics: Describing Data
Crossover to the stochastic Burgers equation from the WASEP with a slow bond by Patricia Gonçalves
PROGRAM URL : http://www.icts.res.in/program/NESP2015 DATES : Monday 26 Oct, 2015 - Friday 20 Nov, 2015 VENUE : Ramanujan Lecture Hall, ICTS Bangalore DESCRIPTION : This program will be organized as an advanced discussion workshop on some topical issues in nonequilibrium statstical phys
From playlist Non-equilibrium statistical physics
Direct Linear Variation (1 of 2: Introduction)
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From playlist Further Ratios and Rates
Local Drive (a pump or a battery) in Interacting Diffusive Systems by David Mukamel
DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December
From playlist Statistical Physics of Complex Systems - 2022