Best Small Shares For Intraday – Day traders need constant feedback on short-term price action to make buying and selling decisions at lightning speed. For this purpose, intraday bars wrapped in multiple moving averages allow for quick analysis that highlights current risks (as well as the most profitable entries and exits). These averages also act as macro filters, informing the observant trader when it is best to stay away and wait for more favorable conditions.
Choosing the right moving averages adds confidence to all technically based day trading strategies, while bad or incorrectly set ups undermine otherwise profitable approaches. In most cases, the same settings will work on all short-term time frames, allowing the trader to make the necessary adjustments based on chart length alone.
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Because of this uniformity, an identical set of moving averages will work for scalping techniques – just like buying in the morning and selling in the afternoon. A trader reacts to different holding periods using the length of the chart itself, with scalpers focusing on the 1-minute charts, while traditional day traders examine the 5-minute and 15-minute charts. This process even extends to overnight holdings, allowing swing traders to use these averages on a 60-minute chart.
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The combination of 5-, 8- and 13-bar Simple Moving Averages (SMA) is perfect for day trading strategies. These are Fibonacci setups that have stood the test of time, but interpretation skills are needed to use the setups correctly. It’s a visual process—examining the relative relationships between moving averages and price—as well as moving average slopes that reflect subtle shifts in short-term momentum.
Increases in observed momentum offer buying opportunities for day traders, while decreases signal early exits. A decline that triggers a bearish rolling average across multiple timeframes offers short selling opportunities, with profitable sales covered when the moving average begins to rise. This process also identifies sideways markets and tells the day trader to stay away when intraday trends are weak and opportunities are limited.
Apple Inc. (AAPL) has built a basic pattern above $105 (A) on the 5-minute chart and will break out in a short-term rally during the lunch hour (B). The 5-, 8-, and 13-bar SMAs are pointing higher, while the distance between the moving averages is increasing, signaling increasing rally momentum. The price is moving into a bullish alignment at the top of the moving averages, ahead of a 1.40 point swing offering good daily trading gains.
The rally stops after 12:00 and the price drops back to the 8-bar SMA (C), while the 5-bar SMA pulls back and finds support at the same level (D), before the rally’s final move. Aggressive day traders can take profits when the price breaks through the 5-bar SMA or wait for the moving averages to level out and roll over (E), which they did in the mid-afternoon. Both price levels offer bargains.
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Apple shares consolidated near $109 (A) at the end of the session and fell (B) the following morning. The 5-, 8-, and 13-bar SMAs point to a lower level, while the distance between the moving averages is increasing, signaling increasing selling momentum. The price is moving into a bearish alignment at the bottom of the moving averages ahead of a three-point swing that offers good profits from short sales.
The sell-off stops mid-morning, lifting the price to the 13-bar SMA (C), while the 5-bar SMA rebounds until it hits resistance at the same level (D), before the final sell-off move. Aggressive day traders can take profits by short selling while the price rises above the 5-bar SMA, or wait for the moving averages to level out and turn higher (E), which they did in the mid-afternoon. Both price levels offer bargain short sales.
Cross-relationships between price and moving averages also signal periods of adverse opportunity costs when speculative capital should be retained. Trendless markets and periods of high volatility will force the 5-, 8- and 13-bar SMAs into large whipsaws, with horizontal orientation and frequent crossovers recommending careful traders to sit on their hands.
Trading ranges widen in volatile markets and narrow in non-trending markets. In both cases, the moving averages will show similar characteristics that advise caution in day trading positions. These defensive attributes should be kept in mind and used as a primary filter for short-term strategies as they have an excessive impact on the profit and loss statement.
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The apple weaves and weaves its way through the afternoon session in a choppy and erratic pattern, with price swinging back and forth within 1 point. The 5-, 8-, and 13-bar SMAs show similar whipsaws, with several crossovers but little alignment between the moving averages. These high levels of noise warn the observant day trader to raise bets and move to another security.
Simple moving averages of 5, 8 and 13 bars offer perfect entries for day traders looking for an advantage in trading the market from both the long and short sides. Moving averages also work well as filters to tell quick market players when the risk is too high for intraday entries.
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For example, the bars on the 60-minute chart are printed at 9:30, 10:30, 11:30, and so on until the end of the regular NYSE or NASDAQ session. Time is the only consideration in this calculation, meaning that volume and trading activity have no effect. Therefore, using the same time interval, there will always be the same number of bars per trading day.
Data-based chart intervals allow traders to view price action from different data intervals instead of time intervals. Bar charts with bars, volumes, and ranges are examples of data-based chart intervals. These charts will print a bar at the end of the specified data interval, regardless of how much time has passed:
Let’s take a closer look at these data-driven chart intervals and how we can use them to our advantage.
Tick charts are beneficial because they allow traders to gather information about market activity. Since tick charts are based on a certain number of transactions per bar, we can see when the market is most active or when it is slow and barely moving. For example, one bar is printed after every 144 transactions (trades that occur) on a 144-slice chart.
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These transactions include both small orders and large block orders. Each transaction is counted only once, regardless of size. During periods of high market activity, more bars are printed. Conversely, fewer bars are printed during periods of low market activity. Tick charts provide a logical way to measure market volatility.
Unlike timed intraday charts based on a set number of minutes (such as 5, 10, 30 or 60 minutes), tick chart intervals can be based on any number of transactions. Interval tick charts are often derived from Fibonacci numbers, where each number is the sum of the two previous numbers. Popular intervals based on this series include 144, 233, and 610 ticks.
Volume charts are based solely on the number of shares or volume traded. These columns can provide even better insight into market action as they represent the actual numbers being traded. Similar to tick charts, we can examine how fast the market is moving by noting how many (and how fast) bars are printed.
For example, one bar is printed for every 1,000 shares traded on a chart with 1,000 volumes, regardless of trade size. In other words, one lane can contain several smaller transactions or one larger transaction. In any case, a new column will start printing once 1,000 shares have been traded.
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It should be noted that the volume intervals are related to the trading symbol and the markets being analyzed. The volume interval will cover stocks when used on stocks or exchange traded funds (ETFs), contracts when used on futures/commodity markets and lot sizes when used with forex.
Volume intervals are often tailored to the characteristics of an individual symbol, as securities that trade in higher volume require a larger interval to provide relevant chart analysis. Common intervals for volume charts include larger numbers (such as 500, 1,000, 2,000) as well as larger Fibonacci intervals (such as 987, 1, 597, 2, 584, etc.).
Range bar charts are based on price changes and allow traders to analyze market volatility. For example, a range bar chart with 10 bars will print one bar every time there are 10 times the price movement. So in this example, if a new bar is opened at 585.0, that bar will remain active until the price reaches 586.0 (10 ticks up)