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"95% of all traders fail" is the most commonly used trading related statistic around the internet. But no research paper exists that proves this number right. Research even suggests that the actual figure is much, much higher. In the following article we'll show you 24 very surprising statistics economic scientists discovered by analyzing actual broker data and the performance of traders. Some explain very well why most traders lose money.
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The ATR indicator also known as the average true range indicator is one of the best tools a day trader can use to set their stop loss and take profit levels for every trade. The average true range or ATR, shows at that specific point what the price can range up and down to. Using the average true range to set your stop loss is a good idea but in this video I will show you a better way
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The ATR indicator also known as the average true range indicator is one of the best tools a day trader can use to set their stop loss and take profit levels for every trade. The average true range or ATR, shows at that specific point what the price can range up and down to. Using the average true range to set your stop loss is a good idea but in this video I will show you a better way
#TradeLearning #MyFavorite #Trading
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The most common problem with any day trader is having the proper trading psychology. Trading psychology, meaning that a day trader can stay in control of their mind and not trade emotionally. In this video I’m going to give you five rules you must follow in order to maintain a healthy trading psychology.
5 rules
Gambling mentality | Strategies - Rule below 20 moving average - convergence, divergency | 3 things to get in a trade |
1 hour
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The number one rule in day trading is, the trend is your friend. this rule should be followed whenever you are entering any trade. whether it's forex, indices, cryptocurrencies, or commodities. in this video I will show you exactly how to draw trend lines and how to tell if a trend has been broken creating the trend in the opposite direction. this is by far one of the most useful skills to learn in day trading.
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A proper divergence trading strategy is based on your knowledge of 4 different types of divergences. In this divergence trading strategy video I will teach you how to identify the following: Normal Bullish divergence Normal Bearish divergence Hidden Bullish Divergence And a Hidden Bearish divergence. #divergence #forex #daytrading #rsidivergence
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An RSI Divergence trading strategy will help you find the best possible entry for your trade when used correctly. RSI Divergence or Relative Strength index Divergence shws traders a loss of momentum and suggests the price will go the opposite direction. When looking for an RSI Divergence it is important to no that depending on the momentum of the price action it may continue in that direction before fully reversing.
#TradeLesson #Indicators
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The most commonly asked question for traders is what time is the best to trade. with my strategy any trader can trade during any time period. I will show you exactly how to trade trending markets no matter which time zone you're in and no matter which session you are trading. the best time to trade is the time that suits you best.
six days, 15 min chart -
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This script shows you where a candle is either bullish or bearish engulfing the previous candle.
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these are the most common mistakes that I see day traders make. I have made them myself. and I want to tell you what they are so that you don't make the same mistakes. 0:00 Top 10 mistakes chapters 1:24 Mistake #1 You entered too late 2:54 Mistake #2 RSI Divergence 3:41 Mistake #3 trading without a stop loss 4:48 Mistake #4 Too much money 5:54 Mistake #5 Too many indicators 6:48 Mistake #6 Don't change a strategy 7:56 Mistake #7 You wont get rich quick 9:02 Mistake #8 Not demoing 10:01 Mistake #9 Strategy Jumping 11:00 Mistake #10 Don't quit
The potential for a large amount of profits in a short time period makes day trading an appealing profession (and sometimes even hobby) for many individuals. While the concept may sound simple, in reality it takes careful research, thoughtful strategy, and often a few months of experience to truly succeed as a day trader. It’s easy to get caught up in the excitement of making quick moves on the market, which means it’s also easy to make mistakes that cost you big—literally. Familiarize yourself with the most common day trading missteps, so you can avoid making them and maximize your trading dollars. Day trading is not gambling, which means you can’t stake your money on chance. Day trading is about making quick, calculated moves that will minimize your risk of and loss maximize your potential for profit. That’s why rule number one for succeeding in the industry is to come up with a plan and stick to it. Take the time to educate yourself on trading strategy and research market patterns, and use that information to develop a plan. When you commit to a plan, your emotions are less likely to take over and lead you astray in the heat of a trade. While experienced day traders can sometimes make this mistake in a moment of fearlessness, risking more than you can afford on one position is a mishap more common to new traders. Particularly when you’re just starting out, you want to stick to trading smaller positions (think 100 shares or less). Day traders should concentrate on fixed and reliable returns. If you spend your time chasing the hottest stocks hoping to come out with a win, you’re more likely to panic sell or buy and end up losing. Desperately holding onto losing positions is a very common day trading mistake that is, more often than not, based in emotion. Unfortunately, it’s also a mistake that can quickly destroy your enterprise.
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Everyone wants to know what the exact process is when making a trade. in this video I break down step by step from a completely blank chart how I analyze the price action how I determine which time frame I'm going to use to enter my position. entering any trade while day trading is very complicated and needs a deep understanding of all of the fundamentals of technical analysis. this video clearly demonstrates from start to finish how I enter a trade and watch it play out until the end.
Indicators:
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OVERVIEW
This indicator was inspired by Arty. I've taken what he teaches and have applied the tools that he uses into one useful indicator.
█ COMPONENTS
Here is a brief overview of the indicator:
Smoothed Moving Averages
Arty uses three main smoothed moving averages and on occasion a fourth. All of the moving averages are customizable by color, length, and timeframe.
1 — 21 SMMA - this is the white moving average closest to price and is the first part of our small cloud.
2 — 50 SMMA - this is the green moving average and is the second part of or small cloud.
3 — 100 SMMA - this is the optional moving average and is only used occasionally in Arty's teachings.
4 — 200 SMMA - this is our final moving average and is part of our larger cloud. It also have a dynamic color feature that will show, on a micro level, who is currently in control of the market short term.
Moving Average Clouds
You have a few options when it comes to the moving average clouds.
1 — Small cloud solid color - this is a simple cloud to help visualize the current trend.
2 — Small dynamic - this cloud helps you see who is currently in control of the market and helps you make timely trade entry and exit decisions based on other confluences.
3 — Large solid cloud - this cloud spans from the 200 moving average all the way to price action. This is to help quickly gauge market direction.
Candlestick Patterns
Currently there are two candlestick patterns that are monitored and set alerts for. Alerts can be set for bullish or bearish as well as an alert when these patterns are combined.
1 — "Big Ass Candles" aka Engulfing Candles - You can select bullish , bearish , both, or hide them.
2 — 3 Line Strike - This is a reversal pattern that you can again select bullish , bearish , both, or hide them.
Trade Management
This is a tool to help with setting your stop loss, break even, and target levels. Currently you can set these based on the current ATR. In next update, you will also have the option to use pips/points.
Backtesting
This allows you to plot your trading sessions on the chart so while backtesting, you are only testing the sessions that you actually trade. It makes no sense to backtest a trading session that you do not regularly trade.
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Finally a 5 Minute scalping strategy that works! This video highlights one of the best 5 Minute scalping strategies that can be used in day trading. Whether you are trading forex, crypto or indices, this Scalping strategy will work incredibly well. This 5 minute Scalping Strategy also works on any time frame and can turn into long term position holding.
#TMAOverlay
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In this video I will show you the best scalping indicator VERSION 2.0 on trading view. this scalping indicator has been custom made for maximum profitability. and when paired with the knowledge of market structure and price action the results are absolutely amazing
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This strategy uses the RSI indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the RSI and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
#DailyIndicators
Choose HMA. VMMA, RMA, TMA, Tilson, SMA, EMA, WMA, 5min K-diagram
around 10:00 AM, the color change to green starts the purchase at different time.
Best choice should be HMA.
What is the Weighted Moving Average (WMA)? The weighted moving average (WMA) is a technical indicator that traders use to generate trade direction and make a buy or sell decision. It assigns greater weighting to recent data points and less weighting on past data points.
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The Volume Weighted Moving Average (VWMA) indicator measures the mean of closing prices over a given period while considering volume data. It can be used to determine the average price of a traded security over a specific period and offer trading signals.
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The average directional index (ADX) is a technical analysis indicator used by some traders to determine the strength of a trend.
The trend can be either up or down, and this is shown by two accompanying indicators, the negative directional indicator (-DI) and the positive directional indicator (+DI). Therefore, the ADX commonly includes three separate lines. These are used to help assess whether a trade should be taken long or short, or if a trade should be taken at all.1
I should buy back after trailing stop loss, $2.55/ share, 4000 shares on my TFSA account. Just check WaveTrend Oscillator [WT].
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WaveTrend Oscillator is a port of a famous TS/MT indicator.
When the oscillator is above the overbought band (red lines) and crosses down the signal (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band (green lines), it is a good BUY signal.
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As almost anyone who runs a website knows, Google Analytics provides insight into who site visitors are and what they do when they come to a website. Marketers use Google Analytics to understand the effects of marketing campaigns and how a site's user experience impacts factors such as conversion and retention.
The hundreds of metrics and dimensions available in Google Analytics may seem daunting. We've zeroed in on 14 essential metrics for marketers, how to find them in the Google Analytics dashboard and via the API, and how marketers can use them to make data-driven business decisions.
The Google Analytics dashboard is organized in four sections:
Google Analytics separates data into dimensions and metrics. Dimensions are categorical attributes, such as the city where a user is located or the browser they use, while metrics are the quantitative measurements, such as number of sessions or pages per session. According to Google, "Not every metric can be combined with every dimension. Each dimension and metric has a scope: user-level, session-level, or hit-level. In most cases, it only makes sense to combine dimensions and metrics that share the same scope." For a list of valid dimension-metric pairs, use the Dimensions and Metrics Reference.
Typically dashboards allow segmentation by one or more dimensions as a means to filter down sets of metrics. These data points can also be accessed using the Google Analytics Core Reporting API with the syntax ga:identifier. Through the API you can query the metrics and dimensions or use a third-party ETL tool such as Stitch for integration into a data warehouse for more comprehensive analytics.
When analyzing Google Analytics data, there are 14 metrics that all marketers should include and understand:
1. Number of users and sessions
The users metric provides the number of unique individuals visiting a website over a given time period, and sessions are the number of times that users are actively engaged with the site. For instance, if you have 100 users and 200 sessions, it's reasonable to infer that each user visited the site two times on average during the specified time period.
You can access user and session data in the Audience > Overview. You can then select Sessions or Users in the dropdown directly above the primary graph:
If you're accessing the metrics through the API, use ga:users and ga:sessions.
These metrics provide a quick and coarse-grain analysis of marketing efforts. When you plot the data over time, you can determine how your campaigns drive traffic and how many times users engage with the site.
2. Average session duration
Average session duration is the average amount of time that a user spends on the website in a single session. You can find this in Audience > Overview, then click on the dropdown above the first graph, or if you're accessing the metric through the API, use ga:avgSessionDuration. This metric is a good high-level proxy for user engagement.
3. Average pages per session
Average pages per session is the number of pages a user views, on average, in a single session on your site. You can find this in the dropdown in the Overview section under Audience, or if you're accessing the metric through the API, use ga:pageviewsPerSession. The number of pages with which a user interacts is another good proxy for user engagement. It's wise to look at both this metric and average session duration, however, as the structure of user funnels or the amount of content (e.g. long text blocks) can affect the ratio of session duration versus page views.
4. Ratio of new to returning visitors
In Audience > Overview, you can also compare two metrics by clicking the link that says "Select a metric" to the right of the primary dropdown:
If you're accessing the metric through the API, use ga:users and ga:newUsers.
By comparing the ratio of new users to returning users, you can determine how well your campaigns drive new or existing user traffic. Both are important metrics, as returning users can indicate an increase in lifetime value (LTV), while an increase in new users can indicate growth.
5. Bounce Rate
Bounce rate is the percentage of users who visit only one page on a website before leaving. You can find this metric in the dropdown in the Overview section under Audience, or if you're accessing the metric through the API, use ga:bounceRate. A high bounce rate may indicate a technical problem, content that fails to sufficiently address a user need, a page with no internal links or calls to action (CTA), or poor user targeting in marketing campaigns.
If your bounce rate is high, you should segment your site visitors to see if you can determine the underlying issue. For example, at the bottom of the Overview page, you can select Browser to determine if the site performs better or worse for visitors using different browsers:
6. Organic vs. paid sessions
Organic search traffic is traffic from users who came from a non-paid search engine results page (SERP). Paid Search is traffic from users who clicked on an advertisement on a SERP. You can find this data in the All Traffic section under Channels:
If you're accessing the metrics through the API, use ga:acquisitionTrafficChannel.
The Organic Search metric indicates the effectiveness of your SEO strategies, while Paid Search indicates the effectiveness of your ad campaigns. Both metrics are important, but organic traffic is essential to the long-term sustainability of your site.
In addition to comparing organic versus paid searches for the purpose of analyzing marketing campaigns, you should use the organic search engine result page traffic to determine how well your content performs relative to other organic content on a SERP, particularly on Google.
7. Google Ads
You can access detailed metrics about your Google Ads campaigns by linking your Google Ads account to your Google Analytics account. Doing this can help you analyze customer activity on your website after an ad click or impression. The Search Queries section is useful when you need granular data — such as click-through and conversion rates — for every search query that resulted in a site session:
If you're accessing the metrics through the API, use ga:adMatchedQuery.
8. Search Console – Queries
The Search Console section provides detailed analytics on organic searches. Here, you can analyze the queries that have good positions but poor click-through rates, or landing pages that have relatively high click-through rates but poor positioning.
9. Newsletter opens
By setting up email tracking into your Google Analytics account, you can analyze the success of email campaigns, and break down the traffic by other characteristics, such as browser and demographics. You can find this data in the Behavior section, under Events and Overview. Then scroll to the bottom where the events are located and select the name of your newsletter click event. At the bottom of this page, you can then select "Secondary dimension" to break the results down by other metrics:
By breaking down newsletter open events by device, for instance, you can determine whether the email campaign is getting better or worse click-through on mobile devices versus desktop and tablets.
10. Average time on page
You can examine the amount of time that users spend on a page to better understand how good the user experience is and how well your marketing campaigns are targeting relevant customers. To view your historical average time on page, go to the Behavior section, click Overview, and select "Avg. Time on Page" from the dropdown above the primary graph:
If you're accessing the metric through the API, use ga:avgTimeOnPage.
Average time on page is an indicator of engagement. A high average time on page and/or low bounce rate indicates customers are interested in your content and in exploring your website. You can look at this metric for individual pages for additional context on what content performs better or worse.
11. Top queries in search
Google Analytics allows you to inspect site search data from your website to track queries and customer information by looking at the terms entered in the search bar. You can find this metric in the Behavior section by clicking on Site Search. After you begin sending site search data, you can track your users' search queries; this is an indicator of what content they expect to find on your website, as well as which terms lead to high engagement as defined by metrics such as time after search or exit rates.
12. Top 10 landing pages
The Landing Pages metric can help you to determine which pages receive the most traffic, which can help you evaluate user experience, content quality, and marketing campaign efficacy. You can find it in the Behavior section under Landing Pages.
13. AdSense revenue
You can track advertising metrics by linking your AdSense account with Google Analytics. After the accounts are connected, the data will start showing up in the Behavior section under Publisher. This section provides metrics such as impressions, clicks, and revenue, which may indicate how well you monetize your pages and help you determine how to optimize them. If you're accessing this through the API, use metrics such as ga:adsenseRevenue and ga:adsenseAdsViewed.
14. Goal conversion rate
Goals are specific interactions with the website that define a target objective. Typical goals could include a purchase or a user registration, but a goal also may be defined as a user who visits a certain number of pages, or when a user downloads a piece of content. By tracking conversion rates over time, you can determine how well marketing efforts lead to goal conversions, and use other user metrics to understand what factors affect their successes or failures. You'll find goal conversion rate in Conversions > Goals > Overview; then click on the dropdown above the graphs:
Google Analytics provides valuable information on users and their behaviors, but it has limitations, particularly for large organizations that have strict access control and permissioning systems. Google Analytics does not provide much control over multiuser access, and it may be inappropriate to share the dashboards with a large number of analysts. Furthermore, not all dimensions and metrics can be queried together.
To get a fuller view of your organization's website performance, you may wish to integrate Google Analytics data with metrics from other platforms. Many organizations use additional third-party analytics apps such as Heap, Snowplow, and Mixpanel, and you can make valuable discoveries by integrating this data for analysis.
In order to integrate data from disparate sources, most businesses need a cloud data warehouse where they can use an ETL solution to extract data from Google Analytics and other apps, and replicate, process and analyze the data.
Analyzing marketing and website data begins with determining which metrics are important to your business, then using an ETL tool to bring them into a single repository on which you can run your analysis.
Stitch makes it easy to replicate data from more than 100 sources, including Google Analytics, into a cloud data warehouse, from which you can perform the in-depth analysis that you need. Sign up for a free trial of Stitch and start analyzing your website data in minutes.
