No.
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Futures Technical Terms
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Definition and Explanation
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1 | Mark | Milestone price is used to calculate positions. |
2 | Funding / Countdown | Funding / Countdown are periodic payments to or from traders depending on their trade direction. Funding rates calculation consists of the interest rate and the premium. |
3 | Chart | Refers to a graphical representation of the price movement of a particular cryptocurrency over a specific time period. |
4 | Depth | Refers to the depth of the market or order book. The depth represents the cumulative number of buy and sell orders at different price levels for a specific cryptocurrency futures contract. |
5 | 24h Change | Refers to the price change of a futures contract over the past 24 hours. It indicates the percentage difference between the current price and the price of the contract 24 hours ago. |
6 | 24h Volume | Total trading volume in the previous 24 hours, calculated in USDT (now - 23:00). |
7 | 24h High | Maximum price within 24h starting from 00:00 UTC |
8 | 24h Low | Minimum price within 24h starting from 00:00 UTC |
9 | Cross | It is a type of the cursor that displays on your screen. |
10 | Cursors | Use the Cursor tool in the trading chart to move to the part of the chart you want to check. |
11 | Dot | It is a type of the cursor that displays on your screen. |
12 | Arrow | It is a type of the cursor that displays on your screen. |
13 | Eraser | It is a type of the cursor that displays on your screen. |
14 | Trend Line | A technical analysis tool used to identify and visualize the direction and strength of a price trend for a specific futures contract. It is represented as a straight line drawn on a price chart, connecting consecutive higher lows (in an uptrend) or lower highs (in a downtrend). |
15 | Infor Line | An info line refers to a line or indicator displayed on a price chart that provides specific information about a particular data point or technical analysis tool. It is used to enhance the analysis and interpretation of price movements and patterns. The info line displays various types of information, such as prices, date, volume. |
16 | Trend Angle | Refers to the slope or inclination of a trend line drawn on a price chart. It represents the angle at which the price is trending over a given period. |
17 | Horizontal Line | A straight line drawn horizontally across a price chart. It extends parallel to the x-axis (time axis) and does not slope up or down. Traders often use horizontal lines to mark significant price levels such as support and resistance levels, key Fibonacci retracement levels, or important psychological levels. These lines help identify areas where the price has historically struggled to move above (resistance) or below (support), which can guide trading decisions. |
18 | Horizontal Ray | A horizontal ray is a technical analysis tool used to draw a horizontal line that extends infinitely to the right on a price chart. It is also referred to as a horizontal trendline or a horizontal line segment. By drawing a horizontal line at a specific price level, traders can visually highlight areas where the price has historically encountered obstacles or reversals. |
19 | Vertical Line | A straight line drawn vertically on a price chart. It extends parallel to the y-axis (price axis) and does not slope to the left or right. Traders may use vertical lines to mark specific events or time points of interest, such as the release of important news or economic data, the execution of a trade, or the beginning or end of a trading session. Vertical lines help provide a visual reference for specific time periods or events that can impact market behavior. |
20 | Cross Line | A cross line consists of two intersecting lines on a price chart. It is also known as a crosshair or a cursor line. It allows traders to hover or click on a specific point on the chart, causing the cross line to appear and intersect with the vertical and horizontal axes of the chart. |
21 | Arrow | Typically refers to a graphical symbol or indicator that is used on price charts to denote specific trading signals or patterns. |
22 | Ray | Refers to a technical analysis tool known as a trendline ray or simply a ray. It is a line drawn on a price chart to visually represent a trend line that extends indefinitely into the future. |
23 | Extended Line | Typically refers to a line drawn on a price chart that extends beyond the current price range to project potential future price levels or areas of interest. |
24 | Parallel Channel | Refers to a technical analysis pattern that is formed on a price chart by drawing two parallel trendlines that encompass price movement within a defined range. The channel consists of an upper trendline, which acts as resistance, and a lower trendline, which acts as support. |
25 | Disjoint Channel | A disjoint channel is a technical analysis tool used to identify and visualize a price channel on a price chart. It is also referred to as a parallel channel or a price channel. Disjoint channel consists of two parallel trendlines drawn on the chart, with the upper trendline representing resistance and the lower trendline representing support. The key characteristic of a disjoint channel is that the trendlines do not touch or intersect with the price action between them, hence the term "disjoint." The disjoint channel is created by selecting two swing highs and two swing lows that form the upper and lower trendlines, respectively. These swing highs and lows should have relatively equal distances between them to form parallel lines. |
26 | Flat Top/Bottom | "Flat top" refers to a price pattern where the upper portion of the pattern forms a horizontal or near-horizontal line. It indicates a price level at which selling pressure is consistently encountered, preventing the price from rising further. "Flat bottom" refers to a price pattern where the lower portion of the pattern forms a horizontal or near-horizontal line. It indicates a price level at which buying interest is consistently encountered, preventing the price from declining further. |
27 | Pitchfork | Technical analysis tool known as Andrew's Pitchfork, it consists of three parallel trendlines, which are drawn on a price chart based on significant pivot points. |
28 | Schiff Pitchfork | A variation of the traditional Andrew's Pitchfork, which is a technical analysis tool used to identify potential support and resistance levels and price channels within a trending market. |
29 | Modified Schiff Pitchfork | A variation of the traditional Schiff Pitchfork. The modified Schiff Pitchfork introduces additional adjustments to the positioning of the median line to better align with the price action. |
30 | Inside Pitchfork | A variation of the traditional Schiff Pitchfork. Inside Pitchfork is constructed using two pivot highs and one pivot low. It also has three parallel trend lines. Inside Pitchfork does not have a dedicated center line. Instead, the focus is on the interaction of price with the outer trend lines. The Inside Pitchfork is more commonly used to identify potential breakouts or breakdowns from consolidation patterns. |
31 | Pitchfan | Refers to the Gann Fan or Gann Angles, a technical analysis tool used to identify potential support and resistance levels, as well as price and time relationships in the market. Traders utilize the Gann Fan to project future price levels and assess market trends. |
32 | Gann Box | A technical analysis tool named after its creator, W.D. Gann. The Gann Box is used to analyze and predict price movements based on geometric principles and mathematical calculations. It consists of a series of diagonal lines drawn on a price chart, typically forming a square or rectangle shape. |
33 | Gann Square | Refers to a technical analysis tool developed by W.D. Gann, a renowned trader and analyst. The Gann Square, also known as the "Square of Nine," is a geometric chart that incorporates both price and time to identify potential support and resistance levels. |
34 | Gann Square Fixed | Refers to a variation or modification of the original Gann Square tool developed by W.D. Gann. The Gann Square Fixed incorporates fixed price intervals within the square grid, whereas the original Gann Square uses dynamic price intervals based on the market's price range. |
35 | Gann Fan | Refers to a technical analysis tool developed by W.D. Gann, a renowned trader and analyst. The Gann Fan is used to identify potential support and resistance levels, as well as to analyze price trends and market movements. |
36 | Fib Retracement | Refers to a technical analysis tool based on Fibonacci ratios. Fibonacci retracement levels are used to identify potential support and resistance levels in a price chart. |
37 | Trend-Based Fib Extension | Refers to a technical analysis tool that utilizes Fibonacci ratios to project potential price targets or extensions in the direction of the prevailing trend. |
38 | Fib Speed Resistance Fan | Is a technical analysis tool that combines Fibonacci ratios and fan lines to identify potential levels of support and resistance in a price movements. |
39 | Fib Time Zone | Is a technical analysis tool based on Fibonacci ratios that helps traders identify potential time-based support and resistance levels in a price movements. |
40 | Trend - Based Fib Time | Refers to a technical analysis tool that combines Fibonacci ratios with the concept of trend analysis to identify potential time-based support and resistance levels in a price movements. |
41 | Fib Circles | Refers to a technical analysis tool that utilizes Fibonacci ratios to draw circles on a price chart. These circles are used to identify potential support and resistance levels, as well as to determine future price targets and areas of interest. |
42 | Fib Spiral | Refers to a technical analysis tool that utilizes Fibonacci ratios to create a spiral pattern on a price chart. |
43 | Fib Speed Resistance Arcs | Refers to a technical analysis tool that utilizes Fibonacci ratios to draw curved lines, or arcs, on a price chart. These arcs are used to identify potential levels of support and resistance, as well as price targets, based on the Fibonacci sequence and its ratios. |
44 | Fib Wedge | Technical chart pattern that combines the principles of Fibonacci retracements with a wedge-shaped price formation. |
45 | Fib Channel | Refers to a technical analysis tool that combines the concepts of Fibonacci retracements and parallel trendlines to identify potential support and resistance levels. |
46 | Brush | A "brush" refers to a tool that allows traders to interactively select and highlight specific areas or data points on a price chart. It is often used for detailed analysis or to focus on particular segments of the chart. When the brush tool is activated, traders can click and drag their cursor over a section of the chart to create a selection or highlight that area. The selected portion can be a specific time range or a range of price levels. |
47 | Highlighter | A "highlighter" refers to a tool that allows traders to visually emphasize or mark specific data points, areas, or patterns on a price chart. It is used to draw attention to important information or to highlight areas of interest. The highlighter tool typically provides options to select different colors, line thickness, and transparency settings for the highlighted elements. It allows traders to customize the appearance of the highlights to suit their preferences or specific analytical needs. |
48 | Path | Refers to the historical or projected price movement of a futures contract. It represents the trajectory or direction that the price has taken or is expected to take over a certain period of time. |
49 | Rectangle | Refers to a chart pattern that occurs the price of a futures contract within a range-bound or sideways movement. The pattern resembles a rectangle or a box on the price chart. |
50 | Rotated Rectangle | Refers to a chart pattern that resembles a rectangle that is tilted or rotated at an angle on the price chart. It is also known as a "diamond" pattern or a "diamond-shaped consolidation." It is considered a continuation pattern, suggesting that the price is temporarily consolidating within a narrowing range before resuming its previous trend. The pattern indicates a period of indecision in the market, with buyers and sellers in equilibrium. |
51 | Ellipse | Refers to a technical analysis tool used to identify potential support and resistance levels on a price chart. An ellipse is an oval-shaped drawing tool that can be applied to a chart to encompass a specific area of interest. |
52 | Triangle | Refers to a specific chart pattern called a "triangle pattern" or "symmetrical triangle." It is a technical analysis pattern formed by drawing trendlines that converge towards each other, creating a triangular shape on the price chart. The triangle pattern suggests a period of consolidation and indecision in the market, where the price moves within narrowing price ranges. Traders often interpret the breakout of the triangle pattern as a potential signal for a significant price movement in the future. |
53 | Polyline | A "polyline" refers to a line or series of connected line segments that are used to represent a specific data series on a price chart. It is a technical analysis tool used to visualize and analyze the movement of a particular data set over time. A polyline is created by connecting multiple data points with straight line segments. Each data point represents a specific value or observation at a particular point in time. The segments between the data points form a continuous line, allowing traders to visually track the movement and trends of the data series. |
54 | Curve | Refers to the price curve or the shape of the price movement over time. It represents the graphical representation of the prices of a specific futures contract plotted against time. The curve can provide insights into the overall trend, volatility, and market sentiment surrounding the future contract. |
55 | Arc | Refers to an "arc pattern" or "arc formation" on a price chart. An arc pattern is a curved or semi-circular shape formed by the price movement of an asset over a specific period of time. It is a technical analysis pattern that traders and analysts use to identify potential support and resistance levels, trend reversals, or the completion of a price cycle. |
56 | Text | Typically refers to textual information or messages related to trading activities. It can include various types of written or displayed content that provides relevant details, instructions, or explanations. Here are a few examples of how "text" is used: Trade Notifications, News and Analysis, Trading Platform Interface; overall, refers to the written or displayed information that traders rely on to make informed decisions, stay updated on market events, and navigate trading platforms effectively. |
57 | Anchored Text | Anchored text refers to a feature or tool that allows traders to add text labels or annotations to specific points or areas on a price chart. These text labels are anchored to a particular location on the chart, providing additional information or context for that specific point or area. Anchored text is typically used to mark and describe significant events, price levels, or patterns on the chart, providing insights or reminders for future reference. It helps traders keep track of important information and visually communicate their analysis or observations. |
58 | Note | Refers to a written comment or message that traders or analysts use to record observations, insights, or reminders related to their trading activities. Here are some examples: trade notes, market analysis notes, meeting or webinars notes, etc. |
59 | Anchored Note | An "anchored note" refers to a feature or tool that allows traders to add textual annotations or notes to specific points or areas on a price chart. These notes are anchored or attached to a particular location on the chart, providing additional information, comments, or insights related to that specific point or area. Anchored notes are commonly used to document observations, record trading strategies, or highlight important information for future reference. |
60 | Signpost | Is often used metaphorically to refer to a significant event, level, or indicator that serves as a guide or signal for traders. It represents a notable milestone or point of reference that traders consider when making trading decisions. |
61 | Callout | Refers to a graphical or visual element used to draw attention to a specific point or area on a chart or trading platform. It is often represented by a text box or an arrow with accompanying text. |
62 | Balloon | More specifically a text balloon. It allows user to make a smaller, more targeted notation than a text box. The "point" on the balloon also allows the notation to be placed much more specifically than a text box. |
63 | Price Label | Refers to the numerical value displayed on a price chart that represents the current or historical price of a futures contract. Price labels are typically positioned alongside the price axis of a chart and provide traders with the specific price levels at various points in time. Price labels are essential for tracking price movements, identifying support and resistance levels, and analyzing market trends. They allow traders to interpret price patterns, make informed trading decisions, and set price targets or stop-loss levels. |
64 | Price Note | A "price note" refers to a textual annotation or comment added to a specific price level or data point on a price chart. Price notes are used to provide additional information or insights related to that particular price level or data point. Price notes are commonly used to document observations, record trading strategies, or highlight important information for future reference. |
65 | Arrow Marker | Typically refers to a graphical symbol or indicator in the form of an arrow that is used on price charts or trading platforms to highlight specific price movements, patterns, or trading signals. Arrow markers provide a visual representation of important price movements or trading signals, allowing traders to quickly identify and interpret key market events. |
66 | Arrow Mark Left | The "Arrow Mark Left" indicates a left-pointing arrow that is placed at a particular location on the chart to highlight a specific event or signal. |
67 | Arrow Mark Right | The "Arrow Mark Right" indicates a right-pointing arrow that is placed at a particular location on the chart to highlight a specific event or signal. |
68 | Arrow Mark Up | The "Arrow Mark Up" indicates a up-pointing arrow that is placed at a particular location on the chart to highlight a specific event or signal. |
69 | Arrow Mark Down | The "Arrow Mark Down" indicates a down-pointing arrow that is placed at a particular location on the chart to highlight a specific event or signal. |
70 | Flag Mark | "Flag Mark" typically refers to a graphical symbol or marker that is used to indicate a specific pattern or signal on a price chart. It is represented by a small flag-shaped icon or graphic that is placed at a particular location on the chart. In technical analysis, flag patterns are considered to be a continuation pattern, often found within a trending market. A flag mark is used to highlight the presence of such a pattern. It consists of a consolidation phase, where price movements exhibit a parallel channel or a small retracement, followed by a continuation of the previous trend. |
71 | Pattern | A "pattern" refers to a recognizable and repeated formation or arrangement of price movements on a price chart. Patterns can provide valuable insights into the potential future direction of a price and are commonly used in technical analysis to make trading decisions. |
72 | XABCD Pattern | The XABCD pattern, also known as the Harmonic Pattern XABCD follows a specific structure with four key points labeled as X, A, B, and C, which represent significant price levels. Here's a breakdown of the pattern: 1. X Point: This is the starting point of the pattern and represents the initial significant low or high point on the price chart. 2. A Point: After the X point, the price undergoes a corrective move, forming a retracement. The A point marks the end of this retracement and represents a significant swing high or low. 3. B Point: From the A point, the price resumes its move in the direction of the initial trend. The B point marks the end of this move and serves as a retracement level within the larger pattern. 4. C Point: After the retracement from the B point, the price starts another move in the direction of the initial trend. The C point marks the end of this move and is expected to be a retracement level within the larger pattern. 5. D Point: The D point is the final point of the pattern and represents a potential reversal or continuation zone. It is formed by a retracement of the XC leg. The XABCD pattern helps traders identify potential entry points for trades, either to take advantage of a reversal in the price direction or to join the ongoing trend. |
73 | Cypher Pattern | The Cypher pattern is a specific harmonic price pattern observed in technical analysis, particularly in harmonic trading. It is used to identify potential reversal or continuation trading opportunities. The Cypher pattern helps traders identify potential entry points for trades, either to take advantage of a reversal in the price direction or to join the ongoing trend. |
74 | ABCD Pattern | The ABCD pattern follows a specific structure with four key points labeled as A, B, C, and D, which represent significant price levels. Here's a breakdown of the pattern: 1. A Point: This is the starting point of the pattern and represents an extreme price move. It can be a significant high or low point on the price chart. 2. B Point: From the A point, the price undergoes a corrective move, forming a retracement. The B point marks the end of this retracement and represents a significant swing high or low. 3. C Point: After the retracement from B, the price resumes its move in the direction of the initial trend. The C point marks the end of this move and serves as a retracement level within the larger pattern. 4. D Point: The D point is the final point of the pattern and represents a potential reversal or continuation zone. It is formed by a retracement of the CD leg. The ABCD pattern helps traders identify potential entry points for trades, either to take advantage of a reversal in the price direction or to join the ongoing trend. |
75 | Triangle Pattern | A triangle pattern is a technical analysis pattern that is formed when the price of a futures contract consolidates within a narrowing range, creating a triangular shape on the price chart. It is considered a continuation pattern, indicating that the price is likely to continue its previous trend after the consolidation period. |
76 | Three Drives Pattern | The Three Drives pattern is a reversal pattern that consists of three distinct price swings and is used to identify potential trend reversals. The Three Drives pattern follows a specific structure with three drives labeled as Drive 1, Drive 2, and Drive 3. Here's a breakdown of the pattern: 1. Drive 1: This is the initial price move in the direction of the prevailing trend. It represents the first leg of the pattern. 1.1. Correction: After Drive 1, the price undergoes a corrective move, usually in the form of a retracement or consolidation. The correction should be less extensive than Drive 1 but still significant enough to be noticeable. 2. Drive 2: Following the correction, the price resumes its move in the direction of the initial trend. Drive 2 is typically of similar magnitude and duration as Drive 1. 2.1. Correction: After Drive 2, another correction occurs. This correction should be smaller in magnitude and duration compared to the previous correction. 3. Drive 3: Finally, the price makes the third and final move in the direction of the prevailing trend. Drive 3 is usually smaller in magnitude than Drive 1 and Drive 2 but should still show some momentum. The Three Drives pattern is considered complete when Drive 3 reaches a level that is equal or close to the range of Drive 1. This level is often referred to as the target or completion zone. It suggests that the trend may be exhausted, and a reversal in the opposite direction is likely. Traders who identify a Three Drives pattern may look for additional confirmation signals, such as candlestick patterns, momentum indicators, or trendline breaks, to validate the potential reversal before entering a trade. |
77 | Head and Shoulders | The Head and Shoulders pattern typically occurs after an extended uptrend and consists of three main components: a left shoulder, a head, and a right shoulder. Here's a breakdown of the pattern: 1. Left Shoulder: The left shoulder is formed when the price reaches a peak during an uptrend and subsequently pulls back. It represents the first sign of potential weakness in the upward movement. 2. Head: After the left shoulder, the price makes a higher peak, known as the head, indicating a continuation of the upward trend. However, the subsequent decline from the head is usually more significant than the pullback from the left shoulder. 3. Right Shoulder: Following the decline from the head, the price makes another peak that is lower than the head but usually higher than the left shoulder. This forms the right shoulder of the pattern. The neckline is a significant element of the Head and Shoulders pattern. It connects the low points between the left shoulder, head, and right shoulder. The neckline acts as a support level and is considered a crucial area to watch for a potential trend reversal. It's important to note that Head and Shoulders patterns can occur in both bullish and bearish trends, indicating potential reversals in either direction. Traders should also look for additional confirmation signals, such as divergences, candlestick patterns, or other technical indicators, to validate the pattern before making trading decisions. |
78 | Elliott Impulse Wave (12345) | the Elliott Impulse Wave, also known as the "12345 wave," is a fundamental component of the Elliott Wave Theory. Developed by Ralph Nelson Elliott, this theory suggests that price movements in financial markets follow a repetitive wave pattern, reflecting the psychology of market participants. The Elliott Impulse Wave is a five-wave pattern that represents the direction of the dominant trend. It consists of three motive waves (1, 3, and 5) and two corrective waves (2 and 4). Here's a breakdown of the pattern: 1. Wave 1: The first wave is an upward or downward move that initiates the trend. In an uptrend, Wave 1 is the initial upward movement, while in a downtrend, it represents the initial downward movement. Wave 1 is typically characterized by a relatively strong price move and increased trading volume. 2. Wave 2: Following Wave 1, Wave 2 is a corrective wave that retraces a portion of the price movement. It is a counter-trend move against the primary trend. Wave 2 often retraces between 38.2% to 78.6% of Wave 1. 3. Wave 3: Wave 3 is considered the strongest and most extended wave within the impulse wave. It is usually the longest and most powerful price move in the direction of the primary trend. Wave 3 typically shows a significant increase in trading volume and often surpasses the high (in an uptrend) or low (in a downtrend) of Wave 1. 4. Wave 4: Following the strong move of Wave 3, Wave 4 represents a corrective wave that retraces a portion of the Wave 3 move. It is a relatively smaller retracement compared to Wave 2 and often stays above (in an uptrend) or below (in a downtrend) the high or low of Wave 1. 5. Wave 5: The final wave of the impulse wave is Wave 5. It is a move in the direction of the primary trend and is typically characterized by diminishing trading volume compared to Wave 3. Wave 5 often falls short of reaching the high (in an uptrend) or low (in a downtrend) of Wave 3. The Elliott Impulse Wave (12345) pattern is commonly used by traders and analysts to identify the overall trend direction and potential trading opportunities. |
79 | Elliott Triangle Wave (ABCDE) | The Elliott Triangle Wave consists of five waves labeled as A, B, C, D, and E, and is typically formed within a contracting price range. Here's a breakdown of the pattern: 1. Wave A: The first wave of the triangle represents the initial move within the consolidation phase. It can be an upward or downward move and is followed by a correction. 2. Wave B: After Wave A, Wave B is a counter-trend move that corrects a portion of the Wave A move. It retraces a portion of Wave A's range but does not exceed its starting point. 3. Wave C: Wave C is the next wave within the triangle pattern. It is often the longest wave and can move either in the direction of the previous trend or in the opposite direction. Wave C's range should not overlap with the range of Wave A. 4. Wave D: Following Wave C, Wave D is another corrective wave that retraces a portion of the Wave C move. It typically stays within the range of Wave B but does not exceed the range of Wave C. 5. Wave E: The final wave of the Elliott Triangle Wave is Wave E. It represents the last move within the consolidation phase and can be a short and choppy move. Wave E's range should not exceed the range of Wave C, and it often ends close to the starting point of Wave A. The Elliott Triangle Wave indicates a period of contraction and decreasing volatility in the market. Traders often interpret this pattern as a sign of indecision and expect a significant price breakout or trend continuation once the triangle is completed. |
80 | Elliott Triple Combo Wave (WXYXZ) | The Elliott Triple Combo Wave is a corrective pattern that suggests a pause or consolidation in the market before the trend resumes. Here's a breakdown of the pattern: 1. Wave W: The first wave of the pattern, labeled as W, is a corrective wave that moves against the direction of the previous trend. It can be a zigzag, flat, or triangle pattern. 2. Wave X: After Wave W, Wave X is a corrective wave that retraces a portion of the Wave W move. It can be a zigzag, flat, triangle, or combination pattern. 3. Wave Y: Wave Y is the next wave within the Elliott Triple Combo pattern. It is another corrective wave that moves against the direction of Wave X. It can be a zigzag, flat, triangle, or combination pattern. 4. Wave X: Following Wave Y, Wave X reappears as another corrective wave. It is similar to the earlier Wave X, retracing a portion of the Wave Y move. Wave X in this second instance typically stays within the range of Wave Y but does not exceed it. 5. Wave Z: The final wave of the Elliott Triple Combo pattern is Wave Z. It represents the last move within the correction phase and can be a sharp, fast, and relatively short move. Wave Z often reaches the termination point of Wave W, but it does not overlap with it. The Elliott Triple Combo Wave indicates a complex correction that is composed of various sub-patterns. It suggests a period of consolidation, uncertainty, or indecision in the market. Traders and analysts use this pattern to anticipate the completion of the correction and the subsequent resumption of the main trend. |
81 | Elliott Correction Wave (ABC) | The Elliott Correction Wave consists of three waves labeled as A, B, and C and is typically observed as a counter-trend move within an ongoing trend. Here's a breakdown of the pattern: 1. Wave A: The first wave of the correction pattern is labeled as A. It represents the initial move against the prevailing trend. In an uptrend, Wave A is a downward move, while in a downtrend, it is an upward move. 2. Wave B: Following Wave A, Wave B is a corrective wave that retraces a portion of the Wave A move. It is a counter-trend move that corrects the initial impulse. Wave B can take various forms, such as a zigzag, flat, triangle, or complex pattern. 3. Wave C: Wave C is the final wave of the Elliott Correction Wave pattern. It represents the last move of the correction and typically moves in the direction opposite to Wave A. In an uptrend, Wave C is an upward move, while in a downtrend, it is a downward move. Wave C is often a strong and impulsive move, similar to Wave A, but in the opposite direction. It typically extends beyond the end of Wave A. The Elliott Correction Wave pattern suggests that after a strong move in the prevailing trend (impulse wave), the market undergoes a corrective phase before the main trend resumes. The ABC wave pattern can be seen as a temporary pause or a retracement within the larger trend. Traders and analysts use the Elliott Correction Wave pattern to identify potential entry points or areas of support/resistance for trading opportunities. |
82 | Elliott Double Combo Wave (WXY) | The Elliott Double Combo Wave is typically observed as a more intricate and time-consuming correction within the overall price movement of an asset. Here's a breakdown of the pattern: 1. Wave W: The first wave of the double combo pattern is labeled as W. It represents the initial corrective move against the prevailing trend. Wave W can take various corrective forms, such as zigzag, flat, triangle, or complex patterns. It is typically a significant and complex move that retraces a portion of the previous impulse wave. 2. Wave X: Following Wave W, Wave X is another corrective wave that retraces a portion of the Wave W move. It can also take various corrective forms, similar to Wave W. Wave X is typically a shorter and less complex move compared to Wave W. It retraces a portion of the range of Wave W but does not exceed it. 3. Wave Y: Wave Y is the final wave of the Elliott Double Combo Wave pattern. It represents the last move of the correction and typically moves in the direction opposite to Wave W. Wave Y is often an impulsive move, similar to Wave W, but in the opposite direction. It can extend beyond the end of Wave W. The Elliott Double Combo Wave pattern suggests a more complex and prolonged correction within the context of the overall trend. It represents a period of consolidation, uncertainty, or indecision in the market. The pattern can serve as a transition phase before the primary trend resumes. Traders and analysts use the Elliott Double Combo Wave pattern to identify potential trading opportunities and anticipate the completion of the correction. |
83 | Cyclic Lines | Cyclic lines refer to lines or indicators that help identify cyclical patterns or cycles in the price movement of an asset. Cycles are recurring patterns that occur over a specific period and can provide insights into potential future price movements. The purpose of using cyclic lines is to identify and anticipate potential turning points or reversals in the price movement. Traders and analysts use these lines to identify the duration and amplitude of cycles, and they may adjust their trading strategies based on these cyclical patterns. |
84 | Time Cycles | Time cycles refer to a concept in technical analysis that involves the analysis and identification of recurring patterns or cycles in the timing of price movements. It is based on the idea that price action tends to repeat itself over specific time intervals. Time cycles can be observed on different timeframes, ranging from intraday to long-term charts. Traders and analysts use various tools and techniques to identify these cycles and incorporate them into their trading strategies. |
85 | Sine Line | A sine line refers to a technical indicator that represents the sine wave function plotted on a price chart. The sine wave is a mathematical function that oscillates between positive and negative values in a regular pattern resembling a wave. The sine line is derived by applying the sine function to historical price data, typically using a specific period or cycle length. The resulting line represents the value of the sine wave at each point in time on the chart. Traders and analysts use the sine line to identify cyclical patterns or cycles in the price movement of an asset. It helps visualize the regular oscillations or waves that may occur in the market. The sine line can be applied to different timeframes, ranging from short-term intraday trading to longer-term trend analysis. |
86 | Prediction and Measurement Tools | Prediction and measurement tools are technical analysis tools used to forecast future price movements and measure potential price targets or levels of support and resistance. These tools help traders and analysts make predictions about the future direction and magnitude of price changes. |
87 | Long Position | A long position is taken when a trader believes that the price of a Futures contract will increase in the future. The trader buys the Futures contract at the current price with the intention of selling it later at a higher price. By going long, the trader aims to profit from the price appreciation of the Futures contract. |
88 | Short Position | A short position is taken when a trader believes that the price of a Futures contract will decrease in the future. Instead of buying the contract, the trader borrows it from a broker or exchange and immediately sells it on the market at the current price. The trader aims to buy back the contract at a lower price in the future, returning it to the lender and profiting from the price decline. |
89 | Forecast | A forecast refers to a prediction or estimation of future price movements or market trends based on the analysis of historical price data, technical indicators, and other relevant factors. Traders and analysts use various methods and tools to generate forecasts, aiming to anticipate potential price direction, magnitude, and timing. |
90 | Date Range | A date range refers to a specified period of time within which the price data is displayed on a chart. It represents the timeframe or duration for which historical price information is plotted, allowing traders and analysts to analyze the price action and patterns within that particular time interval. The date range can be customized based on the specific needs and preferences of the trader. It can range from short-term intervals, such as minutes or hours, to longer-term intervals, such as days, weeks, months, or even years. By adjusting the date range on a chart, traders can zoom in or zoom out to view different levels of detail in the price movement. |
91 | Price Range | A price range refers to the span between the highest and lowest prices within a specific period of time. It represents the range within which the price fluctuated during that timeframe and is often visualized on a chart as a vertical or horizontal line or as a shaded area. Price ranges are an essential aspect of technical analysis and provide valuable information to traders and analysts. |
92 | Date and Price Range | A date and price range refers to a specific period of time and the corresponding price range within that timeframe. It represents the duration for which historical price data of a Futures contract is displayed on a chart, along with the range of prices that occurred during that time interval. The date and price range provide a comprehensive view of the price action within a specific timeframe, allowing traders and analysts to analyze and interpret the behavior of the contract during that period. It helps identify trends, support and resistance levels, and potential trading opportunities. |
93 | Bars Pattern | A bars pattern refers to a specific pattern or arrangement of bars on a price chart. Bars are vertical lines or "candles" that represent the price movement of a Futures contract within a given timeframe. Each bar contains information about the opening, closing, high, and low prices for that period. A bars pattern is formed when a series of bars on the chart exhibits a recognizable and repeatable pattern that traders can interpret to make trading decisions. These patterns can be based on the shape, size, or arrangement of the bars and are often associated with specific price behavior or market conditions. |
94 | Ghost Feed | The Ghost Feed tool can be used to map out a fractal. Select the tool and then estimate the pattern with each click. Use Ghost Feed to visualize any pattern you see and test its merit. |
95 | Projection | A projection refers to an estimated or predicted price level or target that traders and analysts anticipate a Futures contract to reach in the future. Projections are used to identify potential price targets and can be helpful in determining entry and exit points for trades, setting profit targets, or managing risk. Traders may use projections to anticipate price movements and make informed trading decisions. |
96 | Icons | You can choose an icon you want and put it into somewhere of the chart to mark this point to be significant. |
97 | Measure | A simple tool to measure the distance between bars. You can click on the start point and then pull it until the end point to see necessary data. |
98 | Zoom In | Refers to the action of increasing the level of magnification or focus on a specific area or timeframe of a price chart. It allows traders to closely examine the price movements and details within a selected period for better analysis and decision-making. By zooming in, traders can gain a more detailed view of the market dynamics and potential trading opportunities. |
99 | Weak Magnet | Describes a price level or zone that has a relatively lower attracting or pulling effect on the market price compared to a stronger magnet level. |
100 | Strong Magnet | Refers to a price level or zone that has a significant attracting or pulling effect on the market price. It is a level that tends to exert a strong influence on price behavior, causing the price to gravitate towards it. |
101 | Stay in Drawing Mode | The action of remaining in the drawing or annotation mode within a trading platform's charting tools. When a trader selects the drawing mode, they can use various tools and features to draw or annotate on the price chart. This allows them to mark specific levels, draw trendlines, add text or shapes, and perform technical analysis directly on the chart. By choosing to stay in drawing mode, traders can continue to make changes, add or modify annotations, or further analyze the chart without exiting the drawing mode. |
102 | Hide all drawings | The action of concealing or removing all the drawings, annotations, or graphical elements that have been added to a price chart using the platform's drawing tools. When traders use various drawing tools to mark levels, draw trendlines, add shapes or text, or perform technical analysis on the chart, the option to "hide all drawings" allows them to temporarily or permanently remove these visual elements from the chart. |
103 | Hide drawings | The action of concealing or temporarily removing specific drawings, annotations, or graphical elements that have been added to a price chart using the platform's drawing tools. When traders use various drawing tools to mark levels, draw trendlines, add shapes or text, or perform technical analysis on the chart, they may have the option to selectively hide certain drawings. This allows traders to declutter their chart and focus on specific areas of interest without completely removing all the drawings. |
104 | Hide indicators | Hide the basic instructions for technical analysis that help determine the trend. |
105 | Hide drawings and indicators | The action of concealing or temporarily removing both drawings (annotations, graphical elements) and indicators from a price chart. By choosing to hide drawings and indicators, traders can declutter their chart and focus on the raw price action without the visual distractions of added annotations or indicators. |
106 | Remove Drawings | The action of permanently deleting or erasing all the drawings, annotations, or graphical elements that have been added to a price chart using the platform's drawing tools. This feature is used when traders no longer need or want to keep any of the added drawings and want to restore the chart to its original state. |
107 | Remove Indicators | Remove the basic instructions for technical analysis that help determine the trend. |
108 | Remove Drawings and Indicators | The action of permanently deleting or erasing both the drawings (annotations, graphical elements) and indicators from a price chart. By choosing to remove drawings and indicators, traders can completely eliminate these visual elements from the chart, restoring it to its original state without any additional annotations or indicators. |
109 | Indicators | Basic instructions for technical analysis that help determine the trend. |
110 | Accumulation/Distribution | 1. Accumulation: refers to a phase in the market where buyers are gradually accumulating or buying an asset, resulting in an increase in demand. 2. Distribution: refers to a phase in the market where sellers are actively selling or distributing an asset, leading to an increase in supply. |
111 | Accumulative Swing Index | A technical indicator used to analyze price trends and predict potential reversals. It was developed by J. Welles Wilder Jr. |
112 | Advance/Decline | 1. Advance: refers to an upward movement or increase in the price of a Futures contract. It indicates that the market participants are buying the asset, resulting in a rise in its value. 2. Decline: refers to a downward movement or decrease in the price of a Futures contract. It indicates that the market participants are selling the asset, leading to a decrease in its value. |
113 | Arnaud Legoux Moving Average | Is a technical indicator used to analyze price trends and generate trading signals. It was developed by Arnaud Legoux and Dimitris Kouzis Loukas. Traders often use the Arnaud Legoux Moving Average to generate trading signals, such as identifying trend direction, spotting potential entry or exit points, and confirming the strength of a trend. |
114 | Aroon | A technical indicator used to identify the strength and direction of a trend, as well as potential trend reversals. It is named after the Sanskrit word for "dawn" or "early light." Traders often use the Aroon indicator to identify the start and end of trends, as well as potential trend reversals. |
115 | Average Directional Index | A technical indicator used to measure the strength and direction of a trend. It is commonly used to identify whether a market is trending or ranging and to gauge the strength of the trend. Traders use the Average Directional Index to identify trending markets and determine whether to enter or exit trades. |
116 | Average Price | The average price refers to a calculated value that represents the average price at which a Futures contract has traded over a specified period. It is commonly used as a reference point to assess the overall price trend, support and resistance levels, and potential entry or exit points for trading. |
117 | Average True Range | The ATR is calculated using price data and provides information about the average price range or volatility experienced by an asset over a specified period of time. It is particularly useful for traders who want to assess potential price movement and set appropriate stop-loss and take-profit levels. The ATR is expressed in the same unit as the price of the asset, providing a measure of volatility that can be compared across different assets. |
118 | Awesome Oscillator | The Awesome Oscillator (AO) is calculated by taking the difference between two Simple Moving Averages (SMAs) of different periods applied to the price of an asset. The default periods used are usually 34 and 5, but traders can adjust them according to their preferences. The formula for calculating the Awesome Oscillator is as follows: AO = SMA(5-periods) - SMA(34-periods) |
119 | Balance of Power | The Balance of Power indicator calculates the relationship between the price of an asset and the volume traded. It is based on the premise that changes in the balance between buying and selling pressure can provide insights into potential trend reversals or the continuation of a trend. The resulting value of the Balance of Power can range from -1 to +1. |
120 | Bollinger Bands | The distance between the upper and lower bands is influenced by the asset's volatility. When the volatility increases, the bands expand, and when the volatility decreases, the bands contract. This dynamic feature of Bollinger Bands makes them useful for assessing periods of high or low volatility. |
121 | Bollinger Bands %B | Bollinger Bands %B measures the location of the asset's price within the Bollinger Bands, expressed as a percentage. It helps traders assess the relative strength or weakness of the price and identify potential overbought or oversold conditions. The resulting %B value will oscillate between 0 and 100. Different interpretations are commonly associated with specific %B values. |
122 | Bollinger Bands Width | Bollinger Bands Width is derived from the Bollinger Bands indicator, which consists of a middle band (usually a simple moving average) and two outer bands that represent a specified number of standard deviations from the middle band. The Bollinger Bands Width specifically measures the width between the upper and lower bands of the Bollinger Bands indicator. It provides traders with insights into the volatility and potential price expansion or contraction in a Futures contract. Here's how the Bollinger Bands Width is calculated: 1. Calculate the Bollinger Bands: First, the middle band is calculated, usually as a simple moving average of the Futures contract's price over a specified period. The upper band is derived by adding a specified number of standard deviations to the middle band, and the lower band is obtained by subtracting the same number of standard deviations from the middle band. 2. Calculate the Bollinger Bands Width: The Bollinger Bands Width is calculated by dividing the difference between the upper and lower bands by the middle band. Width = (Upper Band - Lower Band) / Middle Band The resulting Bollinger Bands Width value represents a percentage or decimal value that indicates the relative width of the Bollinger Bands. It provides traders with a measure of the current volatility or price expansion/contraction compared to the average volatility. |
123 | Chaikin Money Flow | The Chaikin Money Flow (CMF) indicator combines price and volume data to assess the buying and selling pressure in the market. It provides traders with insights into the strength and direction of the money flow, helping them identify potential trend reversals, divergences, and confirmation of price movements. The calculation of the Chaikin Money Flow indicator involves the following steps: 1. Calculate Money Flow Multiplier (MF): It is derived by multiplying the typical price (average of high, low, and close) by the volume for the given period. MF = [(Close - Low) - (High - Close)] / (High - Low) * Volume. 2. Calculate Money Flow Volume (MFV): It is obtained by multiplying the Money Flow Multiplier by the volume for the given period. MFV = MF * Volume. 3. Accumulate/Decumulate the Money Flow Volume: CMF adds the Money Flow Volume for the current period to a running total of the Money Flow Volume. 4. Calculate the Chaikin Money Flow: CMF is derived by dividing the Accumulation/Distribution Line (ADL) by the sum of volume for the given period. CMF = (Sum of MFV for n periods) / (Sum of Volume for n periods). The resulting CMF value can range from -1 to +1. Traders often look for divergences between the CMF and price, as well as crossovers of the zero line, to identify potential trend reversals or confirmation signals. |
124 | Chaikin Oscillator | The Chaikin Oscillator measures the difference between two moving averages of the Chaikin ADL. It helps traders identify potential changes in momentum and trend strength by comparing the buying and selling pressure within a given Futures contract. Here's how the Chaikin Oscillator is calculated: 1. Calculate the Chaikin ADL: The Chaikin ADL is calculated by summing the Money Flow Volume (MFV) for each period. The MFV is derived by multiplying the Money Flow Multiplier (MF) with the volume for the given period. The MF is calculated by comparing the typical price (average of high, low, and close) with the high-low range. The ADL value is accumulated over time. 2. Calculate the first moving average (MA1): MA1 is calculated by applying a specified period (such as 3, 10, or 20) to the Chaikin ADL values. 3. Calculate the second moving average (MA2): MA2 is calculated by applying a longer period (such as 10, 20, or 50) to the Chaikin ADL values. 4. Calculate the Chaikin Oscillator: The Chaikin Oscillator is derived by subtracting the longer-term moving average (MA2) from the shorter-term moving average (MA1). Oscillator = MA1 - MA2. The resulting Chaikin Oscillator value oscillates around the zero line. |
125 | Chaikin Volatility | A technical indicator that measures the volatility of a Futures contract. It was developed by Marc Chaikin and is commonly used to assess the market's price movement and potential trading opportunities. |
126 | Chande Kroll Stop | A technical indicator used to determine potential stop-loss levels for trading positions. It is named after its creators, Tushar Chande and Stanley Kroll. The Chande Kroll Stop indicator helps traders identify dynamic stop levels that adjust according to market conditions. |
127 | Chande Momentum Oscillator | A technical indicator used to measure the momentum or strength of price movements. It was developed by Tushar Chande and is based on the concept of the Relative Strength Index (RSI). The Chande Momentum Oscillator calculates the difference between the sum of positive price changes and the sum of negative price changes over a specified period. It then normalizes the result by dividing it by the sum of all price changes. |
128 | Chop Zone | A market condition or trading range where the price is characterized by erratic and choppy movements without a clear trend or direction. It is also known as a sideways or consolidating market. |
129 | Choppiness Index | A technical indicator used to measure the market's trendiness or choppiness. It is designed to assess the degree of trend presence or the lack thereof in a particular market. Traders use the Choppiness Index to determine the market's overall condition and make trading decisions accordingly. |
130 | Commodity Channel Index | Is a popular technical indicator used to identify overbought and oversold conditions in the market. Developed by Donald Lambert, the CCI measures the current price level relative to its average over a specified period. |
131 | Connors RSI | It is a modification of the Relative Strength Index (RSI) developed by Larry Connors and Cesar Alvarez. The Connors RSI combines three different elements: the RSI, the UpDown Length, and the Rate of Change (ROC). The calculation of Connors RSI involves the following steps: 1. Calculate the RSI: The RSI is a momentum oscillator that measures the speed and change of price movements. It is calculated based on the average gain and average loss over a specific period. 2.Calculate the UpDown Length: The UpDown Length is the sum of the magnitude of price changes in both up and down directions. It measures the volatility of the price movement. It is calculated by summing the absolute value of the price change for each period. 3. Calculate the Rate of Change (ROC): The ROC is a momentum indicator that measures the percentage change in price over a specified time period. It indicates the speed of price movement. The ROC is calculated as the percentage difference between the current price and the price n periods ago. 4. Combine the three elements: Once you have calculated the RSI, UpDown Length, and ROC, you combine them to calculate the Connors RSI. The formula for Connors RSI is: Connors RSI = (RSI + UpDown Length - ROC) / 3. The resulting value of Connors RSI ranges from 0 to 100. Traders use Connors RSI as a tool to identify potential entry and exit points in the futures market. |
132 | Coppock Curve | The Coppock Curve calculates the long-term rate of change for a Futures contract's price by considering two periods: a longer-term period of upward momentum and a shorter-term period of downward momentum. The goal is to identify points where the price bottoms out and begins a new uptrend. Here's how the Coppock Curve is calculated: 1. Calculate the Rate of Change (ROC): The ROC is calculated by comparing the Futures contract's current price with its price from a specified number of periods ago. The ROC value represents the percentage change in price over that period. 2. Calculate the Weighted Moving Average (WMA): The WMA is derived by calculating a weighted average of the ROC values over a longer-term period. The weights are typically higher for more recent periods, reflecting the significance of recent price movements. 3. Calculate the Coppock Curve: The Coppock Curve is obtained by summing the WMA values over the longer-term period and smoothing the result with a shorter-term period moving average. The resulting Coppock Curve oscillates above and below the zero line. Traders often combine the Coppock Curve with other technical indicators or chart patterns to confirm signals and make more informed trading decisions. |
133 | Correlation - Log | Correlation - Log refers to a statistical measure that assesses the relationship between two or more Futures contracts using logarithmic returns. It helps traders understand how closely or inversely the price movements of different contracts are related to each other. When "Correlation - Log" is used, it means that the logarithmic returns of the Futures contracts are used to calculate the correlation coefficient. Logarithmic returns are calculated as the natural logarithm of the ratio of the closing prices between two periods. This transformation is often preferred as it helps normalize the data and reduces the impact of extreme price movements. |
134 | Correlation Coefficient | The correlation coefficient is a statistical measure that quantifies the relationship between two or more Futures contracts. It provides insights into how closely the price movements of the Futures contracts are related to each other. The correlation coefficient is a numerical value that ranges from -1 to +1. Traders and investors use correlation analysis to understand the interdependencies between different Futures contracts and diversify their portfolios accordingly. |
135 | Detrended Price Oscillator | The Detrended Price Oscillator (DPO) is a technical indicator used to identify cyclic price patterns and potential overbought or oversold conditions in a Futures contract's price. The Detrended Price Oscillator calculates the difference between a selected period's simple moving average (SMA) and the corresponding price data shifted back by half of the selected period. The resulting values are plotted as a line on a separate oscillator chart. Here's how the Detrended Price Oscillator is calculated: 1. Select a period: Determine the number of periods to use for the Detrended Price Oscillator calculation. This can be customized based on the trader's preference and the specific Futures contract being analyzed. 2. Calculate the Detrended Price: Calculate the difference between the selected period's SMA and the price data shifted back by half of the selected period. This detrends the price data, removing the moving average component. 3. Plot the Detrended Price Oscillator: The calculated detrended price values are plotted as a line on a separate oscillator chart, typically centered around the zero line. The Detrended Price Oscillator helps traders identify short-term price cycles and potential turning points. By removing the trend component, it aims to highlight the underlying cyclic patterns that may not be as apparent on the price chart alone. Traders typically use the Detrended Price Oscillator to generate trading signals based on overbought and oversold conditions. |
136 | Directional Movement | Directional Movement refers to a technical analysis indicator that helps identify the direction and strength of a Futures contract's price trend. It is based on the concept of positive and negative directional movement and is commonly used in conjunction with other indicators to generate trading signals. The Directional Movement indicator consists of three lines: the Positive Directional Indicator (+DI), the Negative Directional Indicator (-DI), and the Average Directional Index (ADX). The Directional Movement indicator is typically used to generate trading signals based on crossovers and divergence between the +DI and -DI lines. Traders use the Directional Movement indicator to identify potential entry and exit points, confirm trend reversals, and assess the strength of the current trend. |
137 | Donchian Channels | Donchian Channels are a technical analysis tool used to identify potential support and resistance levels and to gauge the volatility of a Futures contract's price. They were developed by Richard Donchian and are named after him. Donchian Channels consist of three lines: 1. Upper Channel Line: This line represents the highest high price over a specified period, typically a user-defined number of periods or days. It forms the upper boundary of the channel and acts as a resistance level. 2. Lower Channel Line: This line represents the lowest low price over the same specified period. It forms the lower boundary of the channel and acts as a support level. 3. Middle Channel Line: This line is simply the midpoint between the upper and lower channel lines. It can serve as an additional reference point for price analysis. The width between the upper and lower channel lines indicates the volatility of the Futures contract's price. Donchian Channels provide traders with a visual representation of price levels and volatility. |
138 | Double EMA | Double EMA (Exponential Moving Average) is a technical analysis indicator that is derived from the exponential moving average. It is used to identify trends, smooth out price data, and generate trading signals. The Double EMA is calculated by applying the exponential moving average calculation twice. Here's the step-by-step process to calculate the Double EMA: 1. Calculate the first EMA: Choose a specific period (e.g., 9, 20, or 50) and calculate the exponential moving average for that period using the closing prices of the Futures contract. The formula for calculating the EMA involves giving more weight to recent prices. 2. Calculate the second EMA: Repeat the EMA calculation using the EMA values from the previous step as the input data. Again, use the same period as in the first step. 3. Plot the Double EMA: Plot the values of the second EMA on the chart. These values represent the Double EMA line. The Double EMA is commonly used by traders to identify the direction of the trend and generate trading signals. |
139 | Ease Of Movement | Ease of Movement is a technical analysis indicator that measures the relationship between a Futures contract's price change and its volume. It helps traders assess the strength and sustainability of price movements by considering the buying and selling pressure behind those movements. The Ease of Movement indicator is based on two main components: the distance the price moves and the volume traded during that movement. It is calculated using the following steps: 1. Calculate the Box Ratio: The box ratio is determined by comparing the difference between the high and low prices of a given period (e.g., daily) to the difference between the current period's volume and the average volume over a specified period. The formula for the box ratio is: Box Ratio = ((High - Low) + ((High - Low) / 2)) / ((Volume / Average Volume) * 100,000). 2. Calculate the Midpoint: The midpoint is the average of the high and low prices of a given period. It is calculated as: Midpoint = (High + Low) / 2. 3. Calculate the Distance: The distance is the difference between the current period's midpoint and the previous period's midpoint. 4. Calculate the Ease of Movement: The ease of movement is calculated by dividing the distance by the box ratio. The formula is: Ease of Movement = Distance / Box Ratio. The resulting values are plotted as a line on the chart, typically with a zero line as a reference point. Positive values indicate upward price movements with relatively low volume, suggesting ease of movement, while negative values indicate downward price movements with relatively low volume. Traders use the Ease of Movement indicator to identify potential trend reversals, confirm existing trends, and assess the strength and sustainability of price movements. |
140 | Elder's Force Index | lder's Force Index is a technical analysis indicator that combines price movement and trading volume to assess the strength of a Futures contract's price trend. It was developed by Dr. Alexander Elder and is used to identify the buying and selling pressure behind price movements. Elder's Force Index is calculated using the following steps: 1. Calculate the Force: The force is determined by multiplying the difference between the current period's closing price and the previous period's closing price by the current period's trading volume. The formula is: Force = (Close - Previous Close) x Volume. 2. Plot the Force Index: The Force Index is calculated by applying a moving average to the force values over a specified period. Commonly, a 13-day exponential moving average (EMA) is used. The formula for the Force Index is: Force Index = EMA(Force, 13). The resulting Force Index values are plotted on a chart as a line that oscillates above and below a zero line. Traders use Elder's Force Index to identify potential trend reversals, confirm existing trends, and assess the strength of price movements. |
141 | EMA Cross | EMA Cross refers to the occurrence of a crossover between two Exponential Moving Averages (EMAs) on a price chart. The EMA Cross is a popular technical analysis technique used by traders to identify potential trend reversals and generate trading signals. Traders often use EMA crossovers as entry or exit signals for their trades. |
142 | Envelopes | Envelopes is a technical analysis indicator that is used to identify potential overbought and oversold levels of a Futures contract's price. It consists of two lines or bands plotted above and below the Futures contract's price chart, forming an "envelope" around the price. The Envelopes indicator typically utilizes a moving average as the centerline, and two separate lines are plotted above and below the moving average. These lines are usually a fixed percentage or a specific number of standard deviations away from the moving average. Traders use Envelopes to identify potential price reversals and trading opportunities. |
143 | Fisher Transform | The Fisher Transform is a technical analysis indicator that is used to identify potential trend reversals and generate trading signals. It was developed by J.F. Ehlers and is designed to transform the probability distribution of prices into a Gaussian normal distribution, making it easier to identify turning points in the price data. The Fisher Transform indicator is calculated using the following steps: 1. Calculate the RSI (Relative Strength Index) Value: The first step is to calculate the RSI value based on the price data. The RSI is a momentum oscillator that measures the speed and change of price movements. 2. Normalize the RSI: The RSI value is then transformed to be bounded between -1 and +1 using the following formula: RSI_normalized = (RSI - 50) / (RSI + 50). 3. Apply the Fisher Transform: The Fisher Transform is applied to the normalized RSI value using the following formula: Fisher = 0.5 * ln((1 + RSI_normalized) / (1 - RSI_normalized)). The resulting Fisher Transform values oscillate above and below a zero line, providing an indication of potential trend reversals. The indicator is often plotted as a histogram or a line on a separate chart below the price chart. Traders use the Fisher Transform in various ways to generate trading signals. |
144 | Guppy Multiple Moving Average | The Guppy Multiple Moving Average (GMMA) is a technical analysis indicator developed by Daryl Guppy. It is designed to identify the presence of a trending market and provide signals for potential buy and sell opportunities. The GMMA indicator consists of two sets of moving averages, referred to as the "short-term" group and the "long-term" group. Each group comprises multiple exponential moving averages (EMAs) with different time periods. The short-term group is typically used to capture short-term trends, while the long-term group is used to identify long-term trends. The GMMA indicator is typically plotted as a series of lines on a price chart. The short-term EMAs are often displayed as thinner lines, while the long-term EMAs are displayed as thicker lines. Traders use the GMMA indicator in various ways to generate trading signals. |
145 | Historical Volatility | Historical volatility refers to the measure of the price fluctuations or variability of a Futures contract over a specified period of time. It provides insights into the past price movements and helps traders assess the level of risk associated with a particular Futures contract. Historical volatility is calculated using statistical formulas, such as standard deviation or average true range, applied to historical price data. The most common approach is to calculate the standard deviation of price returns over a specific period. Traders and investors use historical volatility in several ways. |
146 | Hull Moving Average | The Hull Moving Average (HMA) is a popular technical analysis indicator that aims to reduce lag and provide a smoother moving average line compared to traditional moving averages. The HMA was developed by Alan Hull and is designed to address the issue of lag in typical moving averages. The Hull Moving Average is calculated using the following steps: 1. Calculate the Weighted Moving Average (WMA): The first step is to calculate a WMA of a specified period. The WMA gives more weight to recent prices and less weight to older prices. 2. Calculate the period of the Hull Moving Average: The period of the HMA is derived by taking the square root of the specified period. For example, if the specified period is 20, the period of the HMA would be the square root of 20, which is approximately 4.47. 3. Calculate the WMA of the square root period: Next, calculate the WMA of the square root period obtained in the previous step. This WMA is applied to the WMA calculated in step 1. The resulting Hull Moving Average is a smoother and more responsive moving average line compared to traditional moving averages. It aims to minimize lag and provide timely signals for identifying trends and potential entry or exit points. Traders use the Hull Moving Average in various ways. |
147 | Ichimoku Cloud | The Ichimoku Cloud, also known as Ichimoku Kinko Hyo, is a comprehensive technical analysis indicator that provides valuable insights into market trends, support and resistance levels, and potential trading opportunities. It was developed by Japanese journalist Goichi Hosoda in the late 1960s. The Ichimoku Cloud consists of several components, which are calculated based on past price data. These components are displayed on the price chart as a cloud-like structure, often in shaded areas, to provide a visual representation of the market dynamics. Traders use the Ichimoku Cloud in various ways. |
148 | Keltner Channels | Keltner Channels are a technical analysis indicator used to identify potential price breakouts, overbought or oversold conditions, and trend reversals. They were developed by Chester W. Keltner and are based on the concept of volatility and moving averages. Keltner Channels consist of three lines plotted on the price chart: 1. Upper Band: The upper band is calculated by adding a multiple of the Average True Range (ATR) to a simple moving average (SMA). The ATR measures the average price range of a cryptocurrency over a specified period, while the SMA provides a smoothed average of prices. The multiple used for the ATR determines the width of the channel. 2. Lower Band: The lower band is calculated by subtracting the same multiple of the ATR from the SMA. It represents the lower boundary of the channel. 3. Middle Line: The middle line is the SMA itself. It represents the average price and acts as a reference point for the upper and lower bands. The width of the Keltner Channels is dynamic and adjusts to changes in volatility. When the price is more volatile, the bands widen, and during periods of lower volatility, the bands narrow. Traders use Keltner Channels in various ways. |
149 | Klinger Oscillator | The Klinger Oscillator is a technical analysis indicator that combines volume and price to identify potential trend reversals and confirm the strength of a trend. It was developed by Stephen J. Klinger and aims to provide insights into the flow of money in the market. The Klinger Oscillator is calculated using the following steps: 1. Accumulation Distribution Line (ADL): The ADL is calculated by considering the relationship between the close price and the trading range (high and low) of each period. It measures the cumulative flow of money into or out of a Futures contract. 2. Volume Force (VF): The VF is calculated by multiplying the ADL by the volume for each period. It provides a measure of the force behind price movements based on the volume traded. 3. Signal Line: The signal line is a moving average (typically a 13-period EMA) applied to the VF. It smooths out the VF values and helps identify the overall direction of the oscillator. 4. Klinger Oscillator: The Klinger Oscillator is calculated as the difference between the VF and the signal line. It reflects the divergence or convergence between the volume force and its smoothed average. The Klinger Oscillator can generate positive or negative values. Traders use the Klinger Oscillator in various ways. |
150 | Know Sure Thing | Know Sure Thing (KST) is a technical analysis indicator that combines multiple moving averages to identify potential trend reversals and confirm the strength of a trend. It was developed by Martin Pring and aims to provide insights into the momentum of a Futures contract's price movement. The KST indicator consists of four different moving averages and is calculated using the following steps: 1. Rate of Change (ROC): The ROC is calculated as the percentage change in price over a specified period. It measures the momentum or speed of price movements. 2. Weighted Moving Averages (WMAs): Four WMAs with different lengths are applied to the ROC values. The WMA lengths are customizable based on the trader's preferences and the time frame being analyzed. 3. Smoothing: The four WMAs are then smoothed using exponential moving averages (EMAs). The smoothing process helps reduce noise and provide a clearer view of the underlying trend. 4. Signal Line: The KST indicator includes a signal line, typically a 9-period EMA, which is applied to the final smoothed values. It acts as a reference line to identify crossovers and potential trading signals. The KST indicator generates a single line on the chart, oscillating above or below zero. Traders use the KST indicator in various ways. |
151 | Least Squares Moving Average | The Least Squares Moving Average (LSMA) is a technical analysis indicator that aims to provide a smoothed average of price data while reducing lag. It calculates the moving average using a linear regression formula based on the least squares method. The LSMA indicator is calculated using the following steps: 1. Determine the desired period: Traders specify the number of periods over which they want to calculate the LSMA. For example, if a 10-period LSMA is desired, the calculation will be based on the most recent 10 price data points. 2. Perform linear regression: The LSMA uses a linear regression formula to find the line of best fit for the selected data points. The formula calculates the slope and intercept of the line that minimizes the sum of squared differences between the line and the actual price values. 3. Calculate the LSMA values: Using the slope and intercept from the linear regression, the LSMA values are calculated for each period in the selected range. The LSMA represents the average value of the price based on the linear regression line. The LSMA indicator appears as a line on the price chart, reflecting the smoothed average of the selected price data. It aims to reduce lag compared to traditional moving averages by incorporating the linear regression calculations. Traders use the LSMA indicator in various ways. |
152 | Linear Regression Curve | The Linear Regression Curve is a technical analysis tool that uses linear regression analysis to plot a line that best fits a series of price data points. It helps identify the overall trend direction and potential support and resistance levels. The Linear Regression Curve is calculated using the following steps: 1. Determine the desired period: Traders specify the number of periods over which they want to calculate the Linear Regression Curve. For example, if a 10-period Linear Regression Curve is desired, the calculation will be based on the most recent 10 price data points. 2. Perform linear regression: The Linear Regression Curve uses a linear regression formula to find the line of best fit for the selected data points. The formula calculates the slope and intercept of the line that minimizes the sum of squared differences between the line and the actual price values. 3. Calculate the Linear Regression Curve values: Using the slope and intercept from the linear regression, the values for the Linear Regression Curve are calculated for each period in the selected range. The curve represents the line that best fits the price data points based on the linear regression analysis. The Linear Regression Curve is plotted on the price chart, typically as a line that runs through the center of the price data. It helps visualize the overall trend and can act as a guide for potential support and resistance levels. Traders use the Linear Regression Curve in various ways. |
153 | Linear Regression Slope | Linear Regression Slope is a technical analysis indicator that measures the rate of change or slope of a linear regression line fitted to a series of price data points. It helps identify the strength and direction of the trend. The Linear Regression Slope is calculated using the following steps: 1. Determine the desired period: Traders specify the number of periods over which they want to calculate the Linear Regression Slope. For example, if a 10-period Linear Regression Slope is desired, the calculation will be based on the most recent 10 price data points. 2. Perform linear regression: The Linear Regression Slope uses a linear regression formula to fit a straight line to the selected data points. The formula calculates the slope of the line, which represents the rate of change of the price over the specified period. 3. Calculate the Linear Regression Slope value: The slope of the linear regression line is calculated and expressed as a numerical value. The Linear Regression Slope is often displayed as a line on a separate indicator panel below the price chart, oscillating above and below a zero line. Traders use the indicator in various ways. |
154 | MA Cross | MA Cross refers to the crossing of two moving averages, specifically the intersection of a shorter-term moving average and a longer-term moving average. It is a commonly used technical analysis technique to identify potential trend changes and generate trading signals. The MA Cross is calculated by plotting two moving averages on a price chart, with each moving average representing the average price over a specific time period: Shorter-term and Longer-term. When the shorter-term moving average crosses above the longer-term moving average, it is considered a bullish signal. |
155 | MA with EMA Cross | MA with EMA (Exponential Moving Average) Cross refers to the crossing of two moving averages, where one is a simple moving average (SMA) and the other is an exponential moving average (EMA). This technique combines the characteristics of both moving averages to identify potential trend changes and generate trading signals. The MA with EMA Cross is calculated by plotting both the SMA and EMA on a price chart. The SMA calculates the average price over a specific time period by equally weighting all the data points in the period. The EMA, on the other hand, gives more weight to recent price data, making it more responsive to changes in price. |
156 | MACD | MACD (Moving Average Convergence Divergence) is a widely used technical indicator that helps traders identify potential trend reversals, generate trading signals, and gauge the strength of a trend. MACD is calculated using the difference between two exponential moving averages (EMA) of different periods. |
157 | Majority Rule | Majority Rule is a principle or concept used by traders to make trading decisions based on the prevailing sentiment or direction of the market. It suggests that when the majority of market participants or indicators agree on a particular direction, it increases the probability that the market will move in that direction. The Majority Rule principle is based on the idea that collective market behavior tends to influence price movements. Traders analyze various indicators, such as moving averages, oscillators, volume, and other technical tools, to assess the overall sentiment and determine the prevailing direction of the market. |
158 | Mass Index | The Mass Index is a technical indicator developed by Donald Dorsey. It is used to identify potential trend reversals by measuring the volatility and range expansion of prices. The Mass Index focuses on the narrowing and widening of the price range to spot potential trend reversals. The Mass Index is calculated using the following steps: 1. Calculate the single-day range, which is the difference between the high and low prices for each day. 2. Calculate the exponential moving average (EMA) of the single-day range over a specific period, typically 9 days. 3. Calculate the double smoothed EMA of the EMA calculated in step 2. This is done by applying the EMA formula to the EMA values from step 2, typically using a period of 9. The resulting value is the Mass Index, which is represented as a line on the chart. The Mass Index typically oscillates between a range of 0 and 25. |
159 | McGinley Dynamic | The McGinley Dynamic is a technical indicator developed by John McGinley. It is a moving average-based indicator designed to provide a smoother and more responsive line compared to traditional moving averages. The McGinley Dynamic adjusts its speed based on market conditions, aiming to minimize lag and provide accurate trend following signals. The McGinley Dynamic is calculated using the following steps: 1. Determine the initial Dynamic Line value: It is typically set to the closing price of the first data point. 2. Calculate the Dynamic Multiplier: The multiplier is a constant value, usually chosen as a fraction of the desired period for the moving average. For example, if a 20-day moving average is desired, the multiplier may be set at 1/20. 3. Calculate the Dynamic Line value for subsequent data points: For each new data point, the Dynamic Line is calculated by multiplying the Dynamic Multiplier by the difference between the current price and the previous Dynamic Line value. This difference is then added to the previous Dynamic Line value to obtain the new value. The resulting values form the McGinley Dynamic line, which is plotted on the chart. Traders use the McGinley Dynamic in various ways. |
160 | Median Price | Median Price is a technical indicator that represents the average of the high and low prices for a given period. It is a simple calculation that provides a single value to represent the midpoint between the highest and lowest price levels within a specific timeframe. The Median Price is calculated using the following formula: Median Price = (High + Low) / 2. The resulting value represents the average price level between the highest and lowest prices for the given period. It is often represented as a line on the price chart. Traders and analysts use the Median Price in various ways. |
161 | Momentum | Momentum is a technical indicator that measures the speed and strength of price movements. It quantifies the rate at which prices are changing, allowing traders to identify the strength or weakness of a trend. Momentum indicators help traders identify potential entry and exit points based on the concept that strong price movements are likely to continue in the same direction. |
162 | Money Flow Index | The Money Flow Index (MFI) is a technical indicator that measures the strength and direction of money flow into and out of a particular Futures contract. It combines price and volume data to assess the buying and selling pressure in the market and helps traders identify potential trend reversals or continuations. The Money Flow Index is calculated using the following steps: 1. Calculate the typical price: The typical price is the average of the high, low, and closing prices for a specific period. 2. Calculate the raw money flow: The raw money flow is the typical price multiplied by the volume for each period. It indicates the amount of money flowing in or out of the Futures contract. 3. Determine the money flow ratio: The money flow ratio compares the positive money flow (money flow on up periods) to the negative money flow (money flow on down periods). It is calculated by dividing the sum of positive money flow by the sum of negative money flow for a specific number of periods. 4. Calculate the money flow index: The money flow index is derived from the money flow ratio and is expressed as a value between 0 and 100. It is calculated using the following formula: MFI = 100 - (100 / (1 + money flow ratio)). The resulting value represents the MFI, which is plotted as a line on the chart. |
163 | Moving Average | A moving average is a widely used technical indicator that smooths out price data and helps identify the direction and strength of a trend. It calculates the average price over a specified period and plots it as a line on the price chart. There are different types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), and Weighted Moving Average (WMA). The most commonly used moving averages are the SMA and EMA. |
164 | Moving Average Adaptive | Moving Average Adaptive (MA Adaptive) is a type of moving average that adjusts its sensitivity based on market conditions. Unlike traditional moving averages that use a fixed number of periods, MA Adaptive dynamically adapts to changes in price volatility to provide more accurate and responsive signals. The MA Adaptive indicator incorporates a volatility component, such as Average True Range (ATR), to adjust the calculation of the moving average. Here's a general overview of how MA Adaptive works: 1. Calculate the volatility measure: A common approach is to use the ATR indicator to measure volatility. ATR calculates the average range between price highs and lows over a specific period. 2. Adjust the period: The period of the MA Adaptive is modified based on the calculated volatility. 3. Calculate the adaptive moving average: The adaptive moving average is computed using the adjusted period and the selected smoothing method (e.g., Simple Moving Average, Exponential Moving Average). The calculation is similar to traditional moving averages but with the dynamic period based on volatility. MA Adaptive can be used in various ways. |
165 | Moving Average Channel | A Moving Average Channel is a technical indicator that consists of two parallel lines plotted above and below a moving average. It is used to visualize the trading range or volatility around the moving average and can provide insights into potential support and resistance levels. Here's how the Moving Average Channel is constructed: 1. Select a moving average: The Moving Average Channel starts with choosing a specific moving average, such as a Simple Moving Average (SMA) or an Exponential Moving Average (EMA). The moving average is calculated based on the closing prices over a specified period. 2. Determine the channel width: The width of the channel is determined by adding or subtracting a certain number of standard deviations from the moving average. The standard deviation is a statistical measure that quantifies the dispersion of prices around the moving average. The channel width can be adjusted based on the desired level of volatility or sensitivity. 3. Plot the upper and lower channel lines: The upper channel line is created by adding the channel width (typically a multiple of the standard deviation) to the moving average. The lower channel line is obtained by subtracting the channel width from the moving average. These lines are plotted on the price chart, forming a channel around the moving average. The Moving Average Channel can be used in several ways. |
166 | Moving Average Double | A Moving Average Double is a technical analysis tool that involves the use of two moving averages to identify trends and generate trading signals. It combines the benefits of two moving averages with different periods to provide a more comprehensive view of price movements. Here's how Moving Average Double is typically used: 1. Select two moving averages: Choose two different moving averages, such as a shorter-term moving average (e.g., 50-day) and a longer-term moving average (e.g., 200-day). 2. Plot the moving averages on the price chart: Plot both moving averages on the price chart to visualize their interaction with the price data. The shorter-term moving average will typically exhibit more frequent and sharper changes, while the longer-term moving average will be smoother and slower to react. 3. Signal generation: The Moving Average Double can generate trading signals based on the relationship between the two moving averages: Moving Average Crossover and Moving Average Divergence. |
167 | Moving Average Exponential | Moving Average Exponential (EMA) is a type of moving average that assigns more weight to recent price data, making it more responsive to current price movements compared to other types of moving averages. It is a commonly used technical indicator to identify trends, support and resistance levels, and generate trading signals. Here's how Moving Average Exponential is calculated and used: 1. Select a time period: Choose a specific time period for the EMA calculation. Common periods include 9, 12, 20, 50, or 200, depending on the trader's preference and trading strategy. 2. Calculate the initial EMA: To calculate the initial EMA, you need the closing price of the first period in the selected time frame. This acts as the starting point for subsequent EMA calculations. 3. Calculate the EMA for subsequent periods: To calculate the EMA for the following periods, you need to consider two factors: the previous EMA value and the current closing price. The formula for calculating the EMA is typically based on a smoothing factor that determines the weight given to the current price data relative to the previous EMA value. The most common smoothing factor is the exponential smoothing constant, which is often represented by the symbol "α." The formula for calculating the EMA is as follows: EMA = (Closing Price - Previous EMA) × α + Previous EMA. The value of α depends on the selected time period. 4. Plotting the EMA: Once the EMA values are calculated, they are plotted on the price chart. Traders commonly use multiple EMAs with different time periods to observe their interaction and generate trading signals. Moving Average Exponential is used in various ways. |
168 | Moving Average Hamming | The Hamming, or weighted, moving average applies weighting factors to price data based on a function borrowed from spectral analysis. This function, known as Hamming, responds to the cyclical tendencies of data better than conventional moving averages by reducing the effect of erratic prices. |
169 | Moving Average Multiple | The Guppy Multiple Moving Average (GMMA) is a technical indicator that identifies changing trends, breakouts, and trading opportunities in the price of an asset by combining two groups of moving averages (MA) with different time periods. |
170 | Moving Average Triple | A Moving Average Triple is a trading strategy that involves the use of three moving averages with different time periods. The strategy aims to identify trends and generate trading signals based on the crossovers and interactions of these moving averages. The three moving averages used in the Moving Average Triple strategy typically include a short-term moving average, a medium-term moving average, and a long-term moving average. The specific time periods for these moving averages can vary based on the trader's preference and the time frame of analysis. |
171 | Moving Average Weighted | Moving Average Weighted (MA Weighted) is a type of moving average calculation that assigns different weights to each data point in the calculation. Unlike a simple moving average (SMA), where all data points are equally weighted, a weighted moving average gives more significance to recent data points. The calculation of a weighted moving average involves multiplying each data point by a specific weight and then summing up these weighted values. |
172 | Net Volume | Net Volume refers to the cumulative total of buying and selling volume over a specific period. It represents the difference between the total volume of buying and the total volume of selling during that period. Net Volume is calculated by subtracting the selling volume from the buying volume. |
173 | On Balance Volume | On Balance Volume (OBV) is an indicator used to measure the cumulative buying and selling pressure behind a particular Futures contract. It helps traders analyze the relationship between volume and price movements to identify potential trends and reversals. The On Balance Volume is calculated by adding the volume of each trading period to a running total if the price closes higher than the previous period's close, and subtracting the volume if the price closes lower than the previous period's close. If the closing price remains unchanged, the volume is not added or subtracted from the running total. The OBV indicator is typically displayed as a line chart that moves up and down along with the price chart. It can be used to generate trading signals and provide insights into market trends. |
174 | Parabolic SAR | The Parabolic SAR (Stop and Reverse) is a technical indicator used to identify potential trend reversals and provide entry and exit signals. It helps traders determine the direction of a Futures contract's price movement and offers trailing stop-loss levels. The Parabolic SAR is represented by a series of dots that appear above or below the price chart. The dots switch positions relative to the price, indicating potential trend changes. |
175 | Pivot Points Standard | Pivot Points Standard is a popular technical analysis tool used to determine potential support and resistance levels for a given Futures contract. Pivot Points are calculated based on the previous day's price action and are useful for identifying key levels where the price may reverse or encounter significant buying or selling pressure. The Pivot Points Standard formula involves calculating several levels, including the Pivot Point (PP), as well as support and resistance levels. |
176 | Price Channel | A price channel is a technical analysis tool that helps identify the boundaries within which the price of a Futures contract is moving. It consists of two parallel lines drawn on a price chart, with the upper line representing the resistance level and the lower line representing the support level. Here are the key points to understand about price channels: 1. Support and Resistance: The upper line of the price channel represents the resistance level, which indicates a price level at which selling pressure may increase. 2. Trend Confirmation: Price channels can provide insights into the prevailing trend in the market. Traders use these trend confirmations to make decisions aligned with the overall market direction. 3. Breakouts: Price channels can also signal potential breakout opportunities. Traders often look for confirmation signals, such as increased volume or other technical indicators, to validate breakouts. 4. Channel Width and Duration: The width of the price channel represents the price volatility within the specified period. The duration of the price channel indicates the length of time the price has been moving within the boundaries. Traders can assess the significance of the price channel based on its width and duration. 5. Price Targets: Price channels can also be used to estimate potential price targets. Traders measure the height of the channel (the distance between the support and resistance lines) and project it from the breakout point to determine potential price targets in the direction of the breakout. It's important to note that price channels are not foolproof and can experience false breakouts or breakdowns. Therefore, it is advisable to use price channels in conjunction with other technical analysis tools and indicators to increase the accuracy of trading decisions. |
177 | Price Oscillator | A price oscillator is a technical analysis tool that measures the momentum or oscillations in the price of a Futures contract over a given period. It helps traders identify overbought and oversold conditions, as well as potential trend reversals. |
178 | Price Volume Trend | The Price Volume Trend (PVT) is a technical analysis indicator that combines price and volume data to measure the strength and direction of a Futures contract's price trend. It helps traders identify the buying and selling pressure behind price movements and assess the overall market sentiment. |
179 | Rate Of Change | The Rate of Change (ROC) is a technical analysis indicator that measures the percentage change in price over a specified period. It helps traders assess the speed and magnitude of price movements, identify potential trend reversals, and generate trading signals. |
180 | Ratio | The term "ratio" refers to a comparison of two values or variables. It involves dividing one quantity by another to derive a relative measure or relationship between the two. In the context of Futures trading, ratios can be used to analyze and assess different aspects of price movements, market trends, and trading strategies. |
181 | Relative Strength Index | The Relative Strength Index (RSI) is a popular technical analysis indicator that measures the speed and change of price movements. It helps traders identify overbought and oversold conditions in a Futures contract's price, assess potential trend reversals, and generate trading signals. |
182 | Relative Vigor Index | The Relative Vigor Index (RVI) is a technical analysis indicator that measures the strength of a trend by comparing the closing price to the trading range. It helps traders identify the confirmation of a trend and generate trading signals. |
183 | Relative Volatility Index | Relative Volatility Index (RVI) Indicator is a momentum oscillator, which measures both the speed as well as the rise or fall of price movements of a Futures contract. Relative Volatility Index (RVI) Indicator is one of the top Technical Analysis Indicator. |
184 | SMI Ergodic Indicator/Oscillator | The SMI Ergodic Indicator, also known as the Stochastic Momentum Index (SMI) Ergodic Indicator or Oscillator, is a technical analysis tool used in charting of Futures trading. It combines elements of the Stochastic Oscillator and the Moving Average in order to identify potential trend reversals and generate trading signals. |
185 | Smoothed Moving Average | Smoothed Moving Average (SMA) is a technical indicator commonly used in charting of Futures trading. It is a variation of the Moving Average (MA) that aims to reduce noise and provide a smoother representation of price trends over a specified period. The Smoothed Moving Average is calculated by applying a specific smoothing formula to the closing prices of the Futures contract. |
186 | Spread | The term "spread" refers to the difference between the long price (the price at which buyers are willing to buy a Futures contract) and the short price (the price at which sellers are willing to sell a cryptocurrency) for a particular trading pair. It represents the cost or the spread of the transaction when buying or selling a Futures contract. |
187 | Standard Deviation | The standard deviation is a statistical measure that quantifies the amount of variability or dispersion in the price movements of the contract over a specified period. It provides insights into the volatility or risk associated with the price data. To calculate the standard deviation, you typically need a series of historical price data points for the futures contract. The standard deviation formula involves the following steps: 1. Compute the average or mean price of the futures contract over the specified period. 2. Calculate the difference between each individual price data point and the mean. 3. Square each of these differences. 4. Sum up all the squared differences. 5. Divide the sum by the total number of data points. 6. Take the square root of the result obtained in step 5. The resulting value is the standard deviation. It represents the average amount by which the prices deviate from the mean. |
188 | Standard Error | The standard error is a statistical measure that estimates the precision of a calculated statistic, such as the mean or average of a series of price data points. It is often used to assess the reliability or accuracy of the statistic. To calculate the standard error, you typically need a sample of historical price data points for the futures contract. The standard error formula involves the following steps: 1. Calculate the standard deviation of the price data points. 2. Divide the standard deviation by the square root of the sample size. 3. The resulting value is the standard error. It represents the standard deviation of the sample mean or average. In charting, the standard error is often used in conjunction with other statistical measures, such as confidence intervals, to provide a range within which the true population mean or average is likely to fall. It helps to quantify the uncertainty or margin of error associated with the estimated mean. Traders and analysts may use the standard error to gauge the reliability of any calculated statistics, such as moving averages or trendlines, derived from the price data. |
189 | Standard Error Bands | Standard error bands are a statistical tool used to visualize potential price ranges around a calculated statistic, such as the mean or average of a series of price data points. These bands provide a measure of volatility or uncertainty around the estimated value. Standard error bands are created by plotting lines or bands above and below the calculated statistic, typically based on a multiple of the standard error. The most commonly used multiples are ±1 standard error, ±2 standard errors, or ±3 standard errors. |
190 | Stochastic | The term "stochastic" refers to the Stochastic Oscillator, which is a popular technical indicator used to identify overbought and oversold conditions in the market. The Stochastic Oscillator measures the relative position of the current closing price of a futures contract within its price range over a specified period. The Stochastic Oscillator consists of two lines, %K and %D, and is typically displayed as a line chart or a histogram. Here's how it is calculated: 1. Determine the highest high and lowest low prices over a specified period. 2. Calculate the "raw" value of %K by finding the percentage of the current closing price's position within the price range. The formula for %K is: %K = [(Current Close - Lowest Low) / (Highest High - Lowest Low)] * 100. 3. Smooth out the %K line by applying a moving average (typically a 3-period simple moving average) to create the %D line. 4. Plot the %K and %D lines on the chart. The Stochastic Oscillator oscillates between 0 and 100. |
191 | Stochastic RSI | The Stochastic RSI is a technical indicator that combines the concepts of the Stochastic Oscillator and the Relative Strength Index (RSI). It is used to assess overbought and oversold conditions in the market and generate potential buy or sell signals. The Stochastic RSI measures the relative position of the RSI within its own range over a specified period. It helps traders identify when the RSI is reaching extreme levels, indicating potential reversals or changes in price direction. |
192 | SuperTrend | SuperTrend is a popular technical indicator used to identify the direction of the trend and potential entry or exit points. It provides a visual representation of the prevailing market trend by plotting a line or bands on the price chart. The SuperTrend indicator is based on the concept of Average True Range (ATR) and involves two main components: 1. Calculation of Average True Range (ATR): ATR measures the volatility of the price over a specified period. It considers the range between the high and low prices, factoring in gaps and price movements. The ATR value helps determine the distance or width of the SuperTrend line or bands. 2. Calculation of SuperTrend values: Once the ATR is calculated, the SuperTrend indicator generates the trend values by adding or subtracting a multiple of the ATR from the average price. The steps to calculate the SuperTrend values are as follows: 1. Choose a period, such as 10 or 14, to calculate the ATR and SuperTrend values. 2. Calculate the ATR for the chosen period. 3. Determine a multiplier, such as 2 or 3, to multiply with the ATR. 4. Calculate the Upper Band: Average Price + (Multiplier * ATR) 5. Calculate the Lower Band: Average Price - (Multiplier * ATR) 6. Plot the Upper and Lower Bands on the price chart. The SuperTrend line or bands are color-coded to indicate the direction of the trend. Traders may also use different variations of SuperTrend, such as dual SuperTrend or modified SuperTrend, which involve additional calculations or adjustments. |
193 | Trend Strength Index | A momentum oscillator designed to detect, confirm or visualize the strength of a trend. It does this by indicating potential trends and trend changes through crossovers while fluctuating between positive and negative territory. |
194 | Triple EMA | Triple Exponential Moving Average (Triple EMA) is a technical indicator that calculates a moving average of the price data. It is similar to a traditional Exponential Moving Average (EMA) but adds an additional level of smoothing. The Triple EMA is calculated using the following steps: 1. Choose a period, such as 10 or 20, for the Triple EMA calculation. 2. Calculate the initial EMA using the chosen period. 3. Calculate the second EMA using the same period on the result from step 2. 4. Calculate the third EMA using the same period on the result from step 3. 5. The Triple EMA value is derived from the most recent value of the third EMA. 6. The Triple EMA places more weight on recent price data and provides a smoother line compared to a simple or exponential moving average. This can help filter out short-term fluctuations and noise in the price data, providing a clearer indication of the overall trend. Traders and analysts use the Triple EMA in charting to identify trends and potential entry or exit points. |
195 | TRIX | TRIX (Triple Exponential Moving Average) is a technical indicator used to identify trends and potential reversals in the price data. It is based on a triple exponential smoothing of the underlying price series. The TRIX indicator is calculated in the following steps: 1. Choose a period, such as 14 or 20, for the TRIX calculation. 2. Calculate the first exponential moving average (EMA) of the price data using the chosen period. 3. Calculate the second EMA of the first EMA obtained in step 2. 4. Calculate the third EMA of the second EMA obtained in step 3. 5. Calculate the TRIX line by finding the percentage change between the third EMA values of consecutive periods. TRIX = [(Current EMA3 - Previous EMA3) / Previous EMA3] * 100 Optionally, a signal line, called the signal line EMA, can be calculated by applying another EMA to the TRIX line. Plot the TRIX line and the signal line (if used) on the chart. |
196 | True Strength Indicator | The True Strength Indicator (TSI) is a technical indicator that combines price momentum and smoothing techniques to identify potential trend reversals and generate trading signals. The TSI aims to provide a smoother and more accurate representation of the underlying price momentum. The True Strength Indicator is calculated in the following steps: 1. Calculate the price change for each period by subtracting the previous closing price from the current closing price. 2. Calculate the absolute price change by taking the absolute value of the price change calculated in step 1. 3. Smooth the absolute price change using a moving average, typically a simple moving average (SMA), over a specified period. 4. Smooth the smoothed absolute price change from step 3 using another moving average, usually an EMA (Exponential Moving Average), over a different specified period. 5. Calculate the TSI by dividing the second smoothed absolute price change from step 4 by the first smoothed absolute price change from step 3 and multiplying the result by 100. |
197 | Typical Price | The Typical Price Indicator is a technical indicator that provides a single representative value for each period based on the typical price of the asset. It is used to smooth out price fluctuations and provide a clearer view of the underlying trend. The Typical Price is calculated as the average of the high, low, and closing prices for each period. It is derived using the following formula: Typical Price = (High + Low + Close) / 3 Here's how the Typical Price Indicator is typically used in charting: 1. Gather the high, low, and closing prices for each period (e.g., daily, hourly, etc.) of the futures contract. 2. Calculate the Typical Price using the formula mentioned above for each period. 3. Plot the Typical Price values on the chart. By using the Typical Price Indicator, traders and analysts aim to reduce the impact of extreme price spikes or outliers, which can distort the overall trend. |
198 | Ultimate Oscillator | The Ultimate Oscillator is a technical indicator commonly used in charting and trading of futures contracts. It was developed by Larry Williams and is designed to measure the buying or selling pressure in the market by combining three different timeframes. The Ultimate Oscillator calculates its values based on three different periods, typically 7, 14, and 28: 1. Calculate the True Range (TR): The True Range measures the price volatility by finding the greatest of the following three values: the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close. 2. Calculate the Average True Range (ATR): The Average True Range is the average of the True Range values over the specified periods. It smooths out the volatility measurement. 3. Calculate the Buying Pressure (BP) for each period: BP is calculated by subtracting the current period's low from the smaller of the current period's high or the previous period's close. 4. Calculate the True Range Sum (TRS) for each period: TRS is the sum of the True Range values over the specified periods. 5. Calculate the Buying Pressure Sum (BPS) for each period: BPS is the sum of the Buying Pressure values over the specified periods. 6. Calculate the Raw Ultimate Oscillator (UO): The Raw Ultimate Oscillator is calculated by dividing the Buying Pressure Sum (BPS) by the True Range Sum (TRS) and multiplying the result by 100 for scaling purposes. 7. Smooth the Ultimate Oscillator (UO): The Raw Ultimate Oscillator is smoothed by applying a weighted average of the current and previous values. The weights are determined based on the chosen periods. The resulting Ultimate Oscillator values range from 0 to 100. Traders use this indicator to identify overbought and oversold levels, potential trend reversals, and divergences. |
199 | Volatility Close-to-Close | Volatility Close-to-Close is a measure of price volatility calculated based on the difference between consecutive closing prices over a specified period. It is used to assess the magnitude of price movements and fluctuations in the market. To calculate the Volatility Close-to-Close, the following steps are typically taken: 1. Choose a period, such as 10 days or 20 days, for the calculation. 2. Determine the price difference between each closing price and the previous day's closing price. 3. Square each price difference to eliminate negative values and emphasize larger price movements. 4. Calculate the average of the squared price differences over the chosen period. 5. Take the square root of the average to obtain the Volatility Close-to-Close value. The Volatility Close-to-Close value represents the average magnitude of price changes from one day's close to the next within the specified period. Traders and analysts use Volatility Close-to-Close to assess the level of market risk, identify periods of increased or decreased volatility, and potentially adjust their trading strategies accordingly. |
200 | Volatility Index | The Volatility Index (VIX) is a popular indicator that measures market volatility and investor sentiment. It is often referred to as the "fear gauge" as it provides insights into the expected level of market uncertainty and potential price fluctuations. The Volatility Index is typically calculated based on the implied volatility of options on a specific index, such as the S&P 500. It uses option prices to gauge market participants' expectations of future volatility over a specified period, usually the next 30 days. The calculation of the Volatility Index involves several steps, including the pricing of options and the construction of a volatility index formula. |
201 | Volatility O-H-L-C | Volatility O-H-L-C (Open-High-Low-Close) is a measure of price volatility calculated based on the range between the highest and lowest prices (high and low) of each period. It provides insights into the magnitude of price movements within a given timeframe. To calculate Volatility O-H-L-C, the following steps are typically taken: 1. Choose a period, such as a day, week, or month, for the calculation. 2. Determine the difference between the highest and lowest prices (high and low) for each period. 3. Calculate the average range by summing the differences for all periods and dividing by the total number of periods. The resulting value represents the average price range for the specified period and serves as a measure of volatility. |
202 | Volatility Zero Trend Close-to-Close | The "Close-to-Close Volatility" indicator is a measure of volatility based on the closing prices of a financial instrument, such as a futures contract, over a specific time period. It is commonly used in technical analysis to assess the magnitude of price fluctuations. The calculation of the Close-to-Close Volatility indicator typically involves the following steps: 1. Select a time frame: Determine the period over which you want to measure volatility, such as a day, week, or month. 2. Gather closing prices: Collect the closing prices of the futures contract for each period in the chosen time frame. 3. Calculate price changes: Calculate the price changes from one closing price to the next. This is typically done by taking the difference between the current closing price and the previous closing price. 4. Compute the average: Take the average of the price changes calculated in step 3 to determine the average price change over the selected time frame. 5. Measure volatility: Volatility is commonly measured as the standard deviation of the price changes. This quantifies the dispersion or spread of the price fluctuations around the average price change. By using the Close-to-Close Volatility indicator, traders and analysts can gain insights into the level of price volatility in the futures contract. |
203 | Volume | Volume is a measurement used to capture the number of individual units of an asset that are being traded in a market. |
204 | Volume Oscillator | The Volume Oscillator is a technical indicator that measures the relationship between two moving averages of trading volume. It is used to identify significant changes in volume trends and potential trading opportunities. The Volume Oscillator is calculated using the following steps: 1. Choose two periods for the moving averages. Commonly used periods are 10 and 20. 2. Calculate the first moving average of the trading volume over the shorter period. 3. Calculate the second moving average of the trading volume over the longer period. 4. Calculate the Volume Oscillator by subtracting the longer-period moving average from the shorter-period moving average. 5. The resulting Volume Oscillator oscillates around a zero line. Traders and analysts use the Volume Oscillator to identify potential buy and sell signals based on volume trends. |
205 | Volume Profile Visible Range | Volume Profile Visible Range (VPVR) is a technical indicator that displays the volume traded at different price levels within a specified time period. It provides a graphical representation of volume distribution to identify significant price levels and potential areas of support and resistance. The Volume Profile Visible Range is typically represented as a histogram or a series of horizontal bars on the price chart. Each bar represents the volume traded at a specific price level during the selected time period. The length or height of each bar indicates the volume traded at that price level. The Visible Range refers to the specific price range displayed on the chart. Traders can adjust the range to focus on a particular period of interest, such as a single trading session or a longer-term period. |
206 | Vortex Indicator | The Vortex Indicator is a technical analysis tool that aims to identify the presence and strength of trends in the market. It combines both positive and negative directional movements to generate signals related to trend confirmation, trend reversals, and potential price breakouts. The Vortex Indicator is calculated based on two components: the Positive Vortex Movement (+VM) and the Negative Vortex Movement (-VM). The indicator considers the true range and the relationship between the current and previous price levels. Here are the steps to calculate the Vortex Indicator: 1. Determine the true range (TR) for each period, which is the greatest of the following: a. The current high minus the current low. b. The absolute value of the current high minus the previous close. c. The absolute value of the current low minus the previous close. 2. Calculate the positive vortex movement (+VM) for each period by taking the absolute value of the current high minus the previous low. 3. Calculate the negative vortex movement (-VM) for each period by taking the absolute value of the current low minus the previous high. 4. Sum the positive vortex movements over the desired period to calculate +VM sum. 5. Sum the negative vortex movements over the desired period to calculate -VM sum. 6. Calculate the True Range Average (TRAVG) by taking the average true range over the desired period. 7. Calculate the positive vortex indicator (+VI) by dividing +VM sum by TRAVG. 8. Calculate the negative vortex indicator (-VI) by dividing -VM sum by TRAVG. |
207 | VWAP | VWAP stands for Volume Weighted Average Price. It is a technical indicator that calculates the average price of a security based on both price and trading volume. VWAP is commonly used by traders and investors to assess the average price at which a stock or futures contract has traded throughout a given period. The VWAP indicator is calculated by multiplying the price of each trade by its corresponding volume and then summing up these values for a specific period. The sum is divided by the total volume traded during that period to obtain the VWAP value. The formula for calculating VWAP is as follows: VWAP = (Σ(Price * Volume)) / Total Volume Here's how the VWAP indicator is typically used in charting: 1. Select a time frame, such as a day or an intraday period. 2. Calculate the VWAP value for each period by applying the formula mentioned above. 3. Plot the VWAP values on the chart. The VWAP indicator is often depicted as a line on the price chart. Traders use VWAP as a benchmark to determine whether the current price is above or below the average price of the period. |
208 | VWMA | VWMA stands for Volume Weighted Moving Average. It is a technical indicator that calculates the moving average of prices based on the volume traded at each price level. The VWMA combines both price and volume data to provide a smoother average compared to traditional moving averages. The VWMA is calculated by multiplying the price of each trade by its corresponding volume, summing up these values over a specified period, and dividing by the total volume traded during that period. The formula for calculating VWMA is as follows: VWMA = (Σ(Price * Volume)) / Total Volume Here's how the VWMA indicator is typically used in charting: 1. Select a time frame and a period for the moving average calculation, such as a 10-day VWMA. 2. Calculate the VWMA value for each period by applying the formula mentioned above. 3. Plot the VWMA values on the price chart. The VWMA indicator is often displayed as a line overlaying the price chart. Traders use VWMA to identify trends, support and resistance levels, and potential entry or exit points. |
209 | Williams %R | Williams %R, also known as Williams Percent Range or %R, is a popular technical indicator used to measure the momentum and overbought/oversold conditions of a security. It was developed by Larry Williams and is commonly used by traders to identify potential reversal points in the market. Williams %R is calculated using the following steps: 1. Determine the highest high (HH) and the lowest low (LL) over a specified period, typically 14 periods. 2. Calculate the current closing price (CP) and subtract the LL from the HH. 3. Divide the difference between CP and LL by the difference between HH and LL. 4. Multiply the result by -100 to obtain the Williams %R value. The formula for Williams %R is as follows: %R = ((HH - CP) / (HH - LL)) * -100 The resulting value of Williams %R oscillates between -100 and 0. Williams %R is typically displayed as a line chart below the price chart. Traders use this indicator to identify potential entry and exit points. |
210 | Williams Alligator | The Williams Alligator is a technical analysis tool developed by trader Bill Williams. It is a combination of multiple moving averages that aims to identify the presence and direction of trends in the market. The Alligator consists of three moving averages, each representing a different time frame, and is often used to help traders identify potential entry and exit points. |
211 | Williams Fractal | Williams Fractal is a technical analysis tool developed by trader Bill Williams. It is used to identify potential reversal points in the market by highlighting significant price patterns. Fractals are mathematical structures that exhibit self-similarity, and Williams Fractal applies this concept to price movements. A Williams Fractal consists of a series of five bars or candlesticks, with the middle bar being the highest or lowest in the sequence. The pattern signifies a potential reversal point, suggesting that the market is transitioning from a trending phase to a consolidation phase or vice versa. |
212 | Zig Zag | Zig Zag is a technical analysis tool that helps identify and visualize significant price reversals and trends in a chart. It filters out minor price movements and focuses on the most substantial price changes, smoothing out the chart and providing a clearer representation of the overall price action. The Zig Zag indicator works by connecting significant highs and lows in the price data, ignoring smaller price fluctuations within a specified deviation or percentage threshold. It helps traders identify the primary price movements, such as trends, swings, and support/resistance levels, while filtering out the noise. |
213 | Intervals | "Intervals" refers to a time frame commonly used to analyze price movements and trends. It represents a specific period on the chart, where each candlestick or bar represents the price action that occurred within that time. |
214 | Candlestick | "Candlestick" refer to the visual representation of price movements on a price chart. Candlestick charts are widely used in technical analysis to display the open, high, low, and closing prices of a financial instrument over a specific time period. Each individual candle on the chart represents the price action that occurred during that particular time frame, whether it is a minute, an hour, a day, or any other chosen time interval. The shape and color of the candle provide valuable information about the price dynamics and the battle between buyers and sellers. |
215 | Fullscreen Mode | The term "full screen mode" typically refers to a display setting or feature that allows the trading platform or charting software to expand and occupy the entire screen of a computer or device. |
216 | Take a Snapshot | Taking a snapshot of a futures contract refers to capturing a specific moment or state of the futures contract's price or other relevant information. It involves saving or recording the current market data, including the price, volume, indicators, and any other relevant details, for future reference or analysis. |
217 | Setting | The term "setting" typically refers to the configuration or customization options available to traders on their trading platforms or software. These settings allow traders to personalize various aspects of their trading experience to suit their preferences and requirements. |
218 | Order Form | The "order form" refers to the interface or form provided by a trading platform that allows traders to place orders for buying or selling futures contracts. The order form serves as a tool for traders to specify their desired trade parameters and submit their trading instructions to the market. |
219 | Isolated | The term "isolated" typically refers to a position or margining method known as "isolated margin." Isolated margin is a feature provided by some futures trading platforms that allows traders to allocate a specific amount of margin to a particular position independent of their overall account balance. |
220 | Cross | The term "cross" typically refers to a specific type of trade execution or position closure. It is commonly used in the context of spread trading or offsetting positions. |
221 | AVAIL | User's available balance. |
222 | Price | The term "price" in the context of futures contracts refers to the current or agreed-upon value at which a specific futures contract can be bought or sold. It represents the monetary amount or rate at which the underlying asset or commodity is transacted in the futures market. In futures trading, prices are quoted for each contract and are determined by the market forces of supply and demand. The price of a futures contract can fluctuate throughout the trading day as market conditions change and participants buy or sell the contracts. |
223 | Last | The latest matched price in the system. |
224 | Amount | The term "amount" refers to the quantity or size of the contract being traded. It represents the specific number of units or contracts involved in a transaction. |
225 | Take Profit / Stop Loss | "Take Profit" and "Stop Loss" are two common order types used by traders to manage their positions and define exit points for their trades. These order types help traders automatically close their positions at predetermined price levels, mitigating potential losses or securing profits. 1. Take Profit (TP): A Take Profit order is placed by a trader to automatically close a futures position when the market reaches a specified favorable price level. It is used to lock in profits by ensuring that the position is closed when the desired profit target is reached. For example, if a trader enters a long futures position at a certain price and sets a Take Profit order at a higher price, the position will be automatically closed when the market price reaches or exceeds the specified Take Profit level. 2. Stop Loss (SL): A Stop Loss order is placed by a trader to automatically close a futures position when the market reaches a specified adverse price level. It is used to limit potential losses by defining a price level at which the position will be automatically closed to prevent further losses. For instance, if a trader enters a long futures position at a certain price and sets a Stop Loss order at a lower price, the position will be automatically closed if the market price reaches or falls below the specified Stop Loss level. |
226 | Buy / Long | "Buy" or "Long" refers to a trading position where a trader acquires a futures contract with the expectation that its price will rise in the future. It is a bullish position where the trader anticipates profiting from an increase in the value of the underlying asset or commodity. |
227 | Sell / Short | "Sell" or "Short" refers to a trading position where a trader sells a futures contract with the expectation that its price will decline in the future. It is a bearish position where the trader anticipates profiting from a decrease in the value of the underlying asset or commodity. |
228 | Cost (Buy) | Estimated amount of collateral required to open a BUY position. |
229 | Cost (Sell) | Estimated amount of collateral required to open a SELL position. In the case where the Limit price is lower than the Last Price, the Estimated Cost Sell will be calculated based on the Last Price. |
230 | Margin Ratio | The "Margin Ratio" in futures contracts refers to the ratio between the required margin and the total value of the futures contract. It represents the percentage of the contract's total value that traders must provide as collateral to enter into and maintain their positions. |
231 | Margin Maintenance | "Margin Maintenance" in futures contracts refers to the minimum level of margin that traders must maintain in their trading accounts to keep their positions open. It represents the ongoing requirement to have sufficient funds in the account to support the potential losses and risks associated with the futures positions. |
232 | Margin Balance | Estimated remaining margin amount of the positions. |
233 | Assets | "Assets" refer to the underlying commodities, financial instruments, or other tangible or intangible items on which the futures contracts are based. These assets can vary depending on the specific futures contract being traded. |
234 | Balance | "Balance" typically refers to the financial position of a trader's account related to their futures trading activities. It represents the net value of funds in the account after accounting for profits, losses, deposits, withdrawals, and other transactions. |
235 | Unrealized PnL | Unrealized PnL (Profit and Loss) in the context of futures contracts refers to the paper or not-yet-realized gains or losses on open positions. It represents the potential profit or loss that a trader would incur if they were to close their positions at the current market prices. |
236 | Single Asset Mode | A mode that allows users to trade using a single underlying asset. This means that in Single Asset Mode, users can only trade with a specific fixed type of asset on the exchange. |
237 | Market Tradings | Amount of the executed orders. |
238 | Positions | A position represents a trader's ownership or obligation to buy or sell a specific quantity of an underlying asset or commodity at a predetermined price on a future date. There are two main types of positions in futures contracts: 1. Long Position: A long position is taken when a trader buys a futures contract with the expectation that the price of the underlying asset will rise. By going long, the trader is essentially taking ownership of the contract and is obligated to take delivery or cash settle the contract at the specified expiration date. 2. Short Position: A short position is taken when a trader sells a futures contract with the anticipation that the price of the underlying asset will decline. By going short, the trader is effectively selling a contract that they do not currently own. The trader will eventually need to buy back the contract to close the position before the expiration date. Traders can hold multiple positions simultaneously in different futures contracts, each representing a different underlying asset or commodity. The number and composition of positions depend on a trader's strategy, market outlook, and individual trading decisions. |
239 | Open Orders | Amount of the pending orders. |
240 | Position History | Amount of positions in the history. |
241 | Order History | Total borrowed amount per order. |
242 | Pair | The term "pair" typically refers to a trading strategy that involves simultaneously taking positions in two related futures contracts. These contracts are often based on different but related assets or commodities. |
243 | Entry Price | The current price of the open position, calculated based on the formula using the matched prices of the orders comprising the position. |
244 | Mark Price | Mark Price, also known as Fair Value or Settlement Price, is a term used in financial markets, particularly in derivative trading, to denote the reference price at which positions are marked to market or settled. In the context of futures contracts or options, the Mark Price represents the calculated or determined value of the underlying asset at a specific point in time. It is used to determine the profit or loss of open positions and to assess margin requirements. |
245 | Liq. Price | The term "liquid price" refers to the price at which a futures contract can be readily bought or sold in the market with minimal impact on its price. It represents the prevailing market price at a given point in time. |
246 | Margin Ratio | Margin Ratio, also known as Margin Requirement or Margin Percentage, is a financial term that refers to the ratio or percentage of the initial margin or collateral required to enter into a leveraged position, such as a margin trade or futures contract. It represents the amount of equity or capital that a trader or investor must contribute relative to the total value of the position. |
247 | Margin | Margin consists of "Initial margin" & "deposited money" while "Initial margin" represents the percentage of a position’s value that must be deposited by the investor before opening a position. The initial margin is directly related to the leverage applied to a position. |
248 | PNL (ROE%) | PNL stands for "Profit and Loss," which represents the financial gain or loss resulting from a trading activity, investment, or business operation. PNL is often used in the context of evaluating the performance of a trader, investment portfolio, or business. ROE% stands for "Return on Equity," which is a financial ratio that measures the profitability and efficiency of a company in generating returns for its shareholders. It is expressed as a percentage and is calculated by dividing net income by shareholders' equity. While PNL focuses on the actual monetary gain or loss, ROE% provides insight into the profitability relative to the amount of equity invested in a company. It is commonly used as a measure of financial performance and is an important metric for investors and stakeholders to assess the profitability and efficiency of a company. |
249 | Close All Positions | "Close All Positions" refers to an action taken by a trader or investor to simultaneously close all open positions in their portfolio. It involves selling or buying back all existing positions in various financial instruments such as stocks, bonds, currencies, or derivatives. |
250 | Time | "Time" refers to the duration or period until the expiration date of the contract. |
251 | All statuses | Generally refer to the different states or conditions that an order or trade can have. Here are some common statuses that you may encounter: 1. Open: An order that has been placed and is active, waiting to be matched with a counterparty. 2. Filled: An order that has been successfully matched with a counterparty and executed. 3. Partially Filled: An order that has been partially executed, where only a portion of the requested quantity has been filled. 4. Cancelled: An order that has been canceled by the trader before it could be filled or executed. 5. Expired: An order that has reached its expiration time without being filled or executed. 6. Rejected: An order that has been rejected by the exchange for various reasons, such as insufficient funds, invalid price, or other trading rule violations. 7. Suspended: An order or trading activity that has been temporarily halted or suspended by the exchange due to certain market conditions or regulatory reasons. 8. Pending: An order that has been received by the exchange but is waiting for further processing or approval. |
252 | Filled | The term "Filled" refers to the status of a trade or order that has been successfully executed and completed. When a futures contract order is matched with a counterparty at the desired price, it is considered filled. |
253 | Order Type | "Order type" refers to the specific instructions provided by a trader when placing an order to buy or sell a futures contract. |
254 | Side | The term "side" refers to the buying or selling direction of a trade. When placing an order for a futures contract, traders specify the side or direction in which they want to enter the market. There are two sides or directions in futures trading: 1. Buy/Long Side: The buy or long side refers to the act of purchasing a futures contract with the expectation that its price will rise in the future. Traders who go long or take the buy side aim to profit from an upward price movement in the underlying asset. They anticipate buying the contract at a lower price and selling it later at a higher price. 2. Sell/Short Side: The sell or short side involves selling a futures contract with the expectation that its price will decline in the future. Traders who go short or take the sell side aim to profit from a downward price movement in the underlying asset. They sell the contract at a higher price and aim to buy it back later at a lower price, thus profiting from the price decrease. |
255 | Average Price | Refers to a type of financial derivative contract that allows participants to buy or sell a commodity or financial instrument at an average price over a specified period of time. |
256 | Executed | the term "executed" refers to the successful completion of a trade or order. When a futures contract trade or order is executed, it means that the transaction has been processed, and the buyer and seller have agreed upon the terms of the contract. |
257 | Order ID | An Order ID refers to a unique identifier assigned to a specific order placed by a trader or investor in the futures market. When trading futures contracts, market participants submit orders to buy or sell a particular contract at a specified price and quantity. Each order is assigned a unique Order ID, which helps in tracking and identifying the order within the trading system or platform. |
258 | Total Fees | Total transaction fee per order. |
259 | Add | Adding collateral to a position. |
260 | Remove | Withdrawing available collateral from a position. |
261 | Leverage | Leverage refers to using borrowed capital to make trades. Leverage trading can amplify your buying or selling power, allowing you to trade larger amounts. So even if your initial capital is small, you can use it as collateral to make leverage trades. |
262 | Order Book | In an order book, all the outstanding buy orders and sell orders for a particular asset are displayed, typically organized by price and time. The buy orders represent the maximum price at which buyers are willing to purchase the asset, while the sell orders represent the minimum price at which sellers are willing to sell the asset. Each order in the book typically includes the price, quantity, and time stamp. When a new order is placed, it is matched against existing orders based on the price and time priority. If the price of a buy order matches or exceeds the price of a sell order, a trade occurs, and the orders are filled. |
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