Cypher Harmonic Pattern [TradingFinder] Cypher Pattern Detector🔵 Introduction
The Cypher Pattern is one of the most accurate and advanced harmonic patterns, introduced by Darren Oglesbee. The Cypher pattern, utilizing Fibonacci ratios and geometric price analysis, helps traders identify price reversal points with high precision. This pattern consists of five key points (X, A, B, C, and D), each playing an important role in determining entry and exit points in the financial markets.
The reversal point typically occurs in the XD region, with the Fibonacci ratio ranging between 0.768 and 0.886. This zone is referred to as the Potential Reversal Zone (PRZ), where traders anticipate price changes to occur.
The Cypher harmonic pattern is popular among professional traders due to its high accuracy in identifying market trends and reversal points. The pattern appears in two forms: bullish Cypher pattern and bearish Cypher pattern.
In the bullish Cypher pattern, after a price correction, the price moves upward, while in the bearish Cypher pattern, the price moves downward after a temporary increase. These patterns help traders use technical analysis to identify strong reversal points in the PRZ and execute more optimal trades.
Bullish Cypher Pattern :
Bearish Cypher Pattern :
🔵 How to Use
The Cypher pattern is one of the most complex and precise harmonic patterns, leveraging Fibonacci ratios to help traders identify price reversals. This pattern is comprised of five key points, each playing a critical role in determining entry and exit points.
The Cypher pattern appears in two main types :
Bullish Cypher pattern : This pattern appears as an M shape on the chart and indicates a trend reversal to the upside after a price correction. Traders can prepare for buying after identifying this pattern in technical analysis.
Bearish Cypher pattern : This pattern appears as a W shape and signals the start of a downtrend after a temporary price increase. Traders can use this pattern to enter short positions.
🟣 How to Identify the Cypher Pattern on a Chart
Identifying the Cypher pattern requires precision and the use of advanced technical analysis tools. The pattern consists of four main legs, each identified using Fibonacci ratios and geometric analysis.
To spot the Cypher pattern on a chart, first, identify the five key points : X, A, B, C, and D.
XA leg : The initial move from point X to A.
AB leg : The first correction after the XA move, where the price moves to point B.
BC leg : After the correction, the price moves upwards to point C.
CD leg : The final price move that reaches point D, where a price reversal is expected.
In a bullish Cypher pattern, point D indicates the start of a new uptrend, while in a bearish Cypher pattern, point D signals the beginning of a downtrend. Correctly identifying these points helps traders determine the best time to enter a trade.
🟣 How to Trade Using the Cypher Pattern
Once the Cypher pattern is identified on the chart, traders can use it to set entry and exit points. Point D is the key point for trade entry. In the bullish Cypher pattern, the trader can enter a long position after point D forms, while in the bearish Cypher pattern, point D serves as the ideal point for entering a short position.
🟣 Entering a Buy Trade with the Bullish Cypher Pattern
In a bullish Cypher pattern, traders wait for the price to reach point D, after which they can enter a buy position. At this point, the price is expected to start rising.
🟣 Entering a Sell Trade with the Bearish Cypher Pattern
In a bearish Cypher pattern, the trader enters a sell position at point D, expecting the price to move downward after reaching this point. For additional confirmation, traders can use technical indicators such as RSI or MACD.
🟣 Risk Management in Cypher Pattern Trades
Risk management is one of the most critical aspects of any trade, and this holds true for trading the Cypher pattern. Traders should always use stop-loss orders to prevent larger losses in case the pattern fails.
In the bullish Cypher pattern, the stop-loss is usually placed slightly below point D to exit the trade if the price continues to drop.
In the bearish Cypher pattern, the stop-loss is placed above point D to limit losses if the price rises unexpectedly.
🟣 Combining the Cypher Pattern with Other Technical Tools
The Cypher pattern is a powerful tool in technical analysis, but combining it with other methods such as price action and technical indicators can improve trading accuracy.
🟣 Combining with Price Action
Traders can use price action to confirm the Cypher pattern. Candlestick patterns like reversal candlesticks can provide additional confirmation for price reversals at point D.
🟣 Using Technical Indicators
Incorporating technical indicators such as RSI and MACD can also help traders receive stronger signals for entering trades based on the Cypher pattern. These indicators help identify overbought or oversold conditions, allowing traders to make more informed decisions.
🟣 Advantages and Disadvantages of the Cypher Pattern in Technical Analysis
Advantages :
High accuracy : The Cypher pattern, using Fibonacci ratios and geometric analysis, provides high precision in identifying reversal points.
Applicable in various markets : This pattern can be used in a wide range of financial markets, including forex, stocks, and cryptocurrencies.
Disadvantages :
Rarit y: The Cypher pattern appears less frequently on charts compared to other harmonic patterns.
Complexity : Accurately identifying this pattern requires significant experience, which may be challenging for novice traders.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Cypher harmonic pattern is one of the most powerful and accurate patterns used in technical analysis. Its high precision in identifying price reversal points, particularly within the Potential Reversal Zone (PRZ), has made it a popular tool among professional traders. The PRZ, located between the Fibonacci ratios of 0.768 and 0.886 in the XD region, offers traders a clear indication of where price reversals are likely to occur.
However, to use this pattern successfully, traders must employ proper risk management and combine it with supplementary tools like technical indicators and price action. By understanding how to utilize the PRZ, traders can enhance the accuracy of their trade entries and exits.
Ultimately, the Cypher pattern, when used in conjunction with the PRZ, helps traders make more precise decisions in the financial markets, leading to more successful and well-informed trades.
Reversals
N Bar Reversal Detector [LuxAlgo]The N Bar Reversal Detector is designed to detect and highlight N-bar reversal patterns in user charts, where N represents the length of the candle sequence used to detect the patterns. The script incorporates various trend indicators to filter out detected signals and offers a range of customizable settings to fit different trading strategies.
🔶 USAGE
The N-bar reversal pattern extends the popular 3-bar reversal pattern. While the 3-bar reversal pattern involves identifying a sequence of three bars signaling a potential trend reversal, the N-bar reversal pattern builds on this concept by incorporating additional bars based on user settings. This provides a more comprehensive indication of potential trend reversals. The script automates the identification of these patterns and generates clear, visually distinct signals to highlight potential trend changes.
When a reversal chart pattern is confirmed and aligns with the price action, the pattern's boundaries are extended to create levels. The upper boundary serves as resistance, while the lower boundary acts as support.
The script allows users to filter patterns based on the trend direction identified by various trend indicators. Users can choose to view patterns that align with the detected trend or those that are contrary to it.
🔶 DETAILS
🔹 The N-bar Reversal Pattern
The N-bar reversal pattern is a technical analysis tool designed to signal potential trend reversals in the market. It consists of N consecutive bars, with the first N-1 bars used to identify the prevailing trend and the Nth bar confirming the reversal. Here’s a detailed look at the pattern:
Bullish Reversal : In a bullish reversal setup, the first bar is the highest among the first N-1 bars, indicating a prevailing downtrend. Most of the remaining bars in this sequence should be bearish (closing lower than where they opened), reinforcing the existing downward momentum. The Nth (most recent) bar confirms a bullish reversal if its high price is higher than the high of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be higher than the high of the first bar.
Bearish Reversal : In a bearish reversal setup, the first bar is the lowest among the first N-1 bars, indicating a prevailing uptrend. Most of the remaining bars in this sequence should be bullish (closing higher than where they opened), reinforcing the existing upward momentum. The Nth bar confirms a bearish reversal if its low price is lower than the low of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be lower than the low of the first bar.
🔹 Min Percentage of Required Candles
This parameter specifies the minimum percentage of candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) among the first N-1 candles in a pattern. For higher values of N, it becomes more challenging for all of the first N-1 candles to be consistently bullish or bearish. By setting a percentage value, P, users can adjust the requirement so that only a minimum of P percent of the first N-1 candles need to meet the bullish or bearish condition. This allows for greater flexibility in pattern recognition, accommodating variations in market conditions.
🔶 SETTINGS
Pattern Type: Users can choose the type of the N-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the last bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns.
Reversal Pattern Sequence Length: Specifies the number of candles (N) in the sequence used to identify a reversal pattern.
Min Percentage of Required Candles: Sets the minimum percentage of the first N-1 candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) to qualify as a valid reversal pattern.
Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones.
🔹 Trend Filtering
Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend.
🔹 Trend Indicator Settings
Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow moving averages.
Supertrend: Options to set the ATR length and factor for Supertrend.
Donchian Channels: Option to set the length for the channel calculation.
🔶 RELATED SCRIPTS
Reversal-Candlestick-Structure.
Reversal-Signals.
D-Shape Breakout Signals [LuxAlgo]The D-Shape Breakout Signals indicator uses a unique and novel technique to provide support/resistance curves, a trailing stop loss line, and visual breakout signals from semi-circular shapes.
🔶 USAGE
D-shape is a new concept where the distance between two Swing points is used to create a semi-circle/arc, where the width is expressed as a user-defined percentage of the radius. The resulting arc can be used as a potential support/resistance as well as a source of breakouts.
Users can adjust this percentage (width of the D-shape) in the settings ( "D-Width" ), which will influence breakouts and the Stop-Loss line.
🔹 Breakouts of D-Shape
The arc of this D-shape is used for detecting breakout signals between the price and the curve. Only one breakout per D-shape can occur.
A breakout is highlighted with a colored dot, signifying its location, with a green dot being used when the top part of the arc is exceeded, and red when the bottom part of the arc is surpassed.
When the price reaches the right side of the arc without breaking the arc top/bottom, a blue-colored dot is highlighted, signaling a "Neutral Breakout".
🔹 Trailing Stop-Loss Line
The script includes a Trailing Stop-Loss line (TSL), which is only updated when a breakout of the D-Shape occurs. The TSL will return the midline of the D-Shape subject to a breakout.
The TSL can be used as a stop-loss or entry-level but can also act as a potential support/resistance level or trend visualization.
🔶 DETAILS
A D-shape will initially be colored green when a Swing Low is followed by a Swing High, and red when a Swing Low is followed by a Swing High.
A breakout of the upper side of the D-shape will always update the color to green or to red when the breakout occurs in the lower part. A Neutral Breakout will result in a blue-colored D-shape. The transparency is lowered in the event of a breakout.
In the event of a D-shape breakout, the shape will be removed when the total number of visible D-Shapes exceeds the user set "Minimum Patterns" setting. Any D-shape whose boundaries have not been exceeded (and therefore still active) will remain visible.
🔹 Trailing Stop-Loss Line
Only when a breakout occurs will the midline of the D-shape closest to the closing price potentially become the new Trailing Stop value.
The script will only consider middle lines below the closing price on an upward breakout or middle lines above the closing price when it concerns a downward breakout.
In an uptrend, with an already available green TSL, the potential new Stop-Loss value must be higher than the previous TSL value; while in a downtrend, the new TSL value must be lower.
The Stop-Loss line won't be updated when a "Neutral Breakout" occurs.
🔶 SETTINGS
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 D-Patterns
Minimum Patterns: Minimum amount of visible D-Shape patterns.
D-Width: Width of the D-Shape as a percentage of the distance between both Swing Points.
Included Swings: Include "Swing High" (followed by a Swing Low), "Swing Low" (followed by a Swing High), or "Both"
Style Historical Patterns: Show the "Arc", "Midline" or "Both" of historical patterns.
🔹 Style
Label Size/Colors
Connecting Swing Level: Shows a line connecting the first Swing Point.
Color Fill: colorfill of Trailing Stop-Loss
Pivot Point Profile [LuxAlgo]The Pivot Point Profile indicator groups and displays data accumulated from previous pivot points, providing a comprehensive method for prioritizing and displaying areas of interest directly given by swing highs and lows.
Users have access to common settings present in other profile-type indicators.
🔶 USAGE
The Pivot Point Profile is particularly helpful in identifying highly active reversal zones that have been visited multiple times by price. Because of this, we could generally expect these areas to serve as future points of interest, often acting as support or resistance when re-visited.
The profile displays data associated with both Pivot Highs and Pivot Lows. Each row consists of pivot high and pivot low counts side-by-side, forming the total width of the row.
By analyzing the row as a whole, we can gain a better understanding of WHERE to look for interactions.
By analyzing the pivot counts independently, we can gain a better understanding of WHAT to expect when returning to these areas.
For example:
If a row in the profile contains entirely Pivot Lows, this could be seen as an indication to look for buyers to hold that level for a continuation upwards. A break of this level could be interpreted as a lack of interest from previous buyers at this level, indicating a further move down.
🔹 Concentrated Areas
Each row in the profile displays the current count of high pivots and low pivots within the selected lookback. The largest count for each pivot direction is identified as a "Concentrated Area (CA)", these CAs are highlighted over the chart with a line displaying the average of all pivots within that CA. The CA Average is the average of all pivot points (in the majority direction) within the given row.
These can hold more importance as potential support/resistance areas.
Note: The CA Threshold can be manually adjusted to highlight all rows based on a user-selected value.
🔶 DETAILS
🔹 Calculation
The idea behind the Pivot Point Profile is a new analysis method for pivot points, taking the idea of a volume profile and adapting it to display pivot points instead of volume. By using this data, in theory, we should be able to better prioritize zones to anticipate reversals, as well as identify key levels to watch for buyer & seller interactions to use as confirmations in direction.
The (vertical) width of each row is the product of the script's "Row Size", this is the number of rows that the profile will consist of. With a max of 250, the profile can be decently granular. That being said, A more granular profile will have fewer overlapping pivot points. By decreasing the row size (Using fewer rows in the profile) you will increase the tolerance for grouping pivot points. Potentially leading to a more comprehensive Profile. Inversely, By reducing the tolerance for grouping, you will better visualize only similar highs and lows but may have noisier data to sift through.
The Profile is calculated based on a "Lookback" parameter, using only the lookback amount of previous high and low pivots to calculate the profile. Configuring this parameter alongside "Pivot Length", will allow for great control over the frame of reference of the profile.
Note: This indicator is capable of utilizing the full chart history of pivot points, this can be done by enabling the "Use Full Chart History" setting, this will cause the script will calculate from everything it has access to on your current chart.
🔹 Display
The Pivot Point Profile display can be customized to fit a various range of chart styles and visual needs. The specific settings to adjust these can be located in the "Profile Display" Section of the User Inputs.
Profile Width: Sets the Left to Right Width of the Profile. This is the maximum width that the profile will occupy and will scale to fit within this width.
Profile Offset: Sets the distance of the Profile's Axis from the current chart candle. This moves the entire profile left and right to enable to user to set the distance between the profile and the current candle.
Direction: Changes the display direction of the profile, allowing for "Left", "Right", or "Center" display styles.
🔶 SETTINGS
🔹 Pivot Point Parameters
Pivot Type: Choose between "Fractal Pivots" or "SMC Structure" to use as the basis for pivots.
Length: Sets the length for the pivot calculations.
🔹 Profile Calculations Parameters
Lookback: Sets the number of pivots to calculate within, in increments of high and low pairs. (Setting this to 1 = 1 Pivot High & 1 Pivot Low)
Use Full Chart History: Disregards the set lookback and instead uses all available chart data to calculate from.
Row Size: Sets the total number of rows to calculate the profile with.
🔹 Profile Display
Profile Width: Sets the max left & right width (in bars) that the profile will occupy.
Profile Offset: Sets the distance of the profile axis from the last chart bar.
Direction: Sets the display direction
🔹 Concentrated Areas
Highlight CAs: Extends the rows left from concentrated areas.
CA Threshold: Manually set the threshold for determining concentrated areas, when disabled, only the largest rows will be displayed.
CA Averages: Toggles the concentrated area averages for each pivot direction.
Note: CA Averages can be displayed independently without CA Highlights being displayed, and vice versa.
Reversal Confirmations [QuantVue]The Reversal Confirmation Indicator is based on price action and looks to provide opportunities when price gets stretched.
The indicator works by finding the highest and lowest points over the user selected lookback period.
If price closes below the low of the highest bar or closes above the high of the lowest bar a possible reversion to the mean may occur and the indicator will plot a triangle and fire an alert.
This indicator works a reversion to the mean or to potentially time entries in trending markets.
Fully customizable settings:
🔹Lookback Period
🔹Colors
🔹Show / hide upper & lower channels
🔹Show / hide the mean
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
VWAP Divergence | Flux ChartsThe VWAP Divergence indicator aims to find divergences between price action and the VWAP indicator. It uses filters to filter out many of the false divergences and alert high quality, accurate signals.
Red dots above the candle represent bearish divergences, while green dots below the candle represent bullish divergences.
The main filter for divergences focuses on ATR and the price movement in the past candles up to the lookback period. Divergences are determined when a price movement over the lookback period is sharp enough to be greater/less than the ATR multiplier multiplied by the ATR.
Settings
Under "Divergence Settings", both the lookback period and ATR multiplier can be adjusted.
Due to the nature of the calculations, the ATR multiplier and the lookback period should be set lower on higher time frames. As price movements become more averaged, for example on the 15 minute chart, sharp price movements happen less frequently and are often contained in fewer candles as they happen on lower time frames. Less volatile stocks such as KO, CL, or BAC should also use lower ATR multipliers and lower lookback periods.
Under "Visual Settings", you can change the color of the VWAP line, show alternating VWAP colors, adjust divergence signal size, and show the VWAP line.
ReversalThe primary objective of this indicator is to discern candles that exhibit characteristics suggestive of potential market reversals through the application of candlestick analysis. Extensive observation across various assets and timeframes has revealed the existence of a recurrent reversal pattern. This pattern typically manifests as a sequence of one to three candles that abruptly diverge from the prevailing price action or trend, offering a distinctive signal indicating a potential reversal.
By leveraging the insights gained from this observation, the indicator aims to assist traders in identifying these noteworthy candle patterns that hold the potential to indicate significant market shifts.
The indicator operates as follows: initially, it identifies the lowest close (in the case of a bullish reversal) or the highest close (in the case of a bearish reversal) within a specified number of previous candles, as determined by user input (referred to as "Candle Lookback").
Next, the indicator examines whether the closing price surpasses the high of the previously identified lowest (bullish reversal) or highest (bearish reversal) closed candle within a designated number of candles, as specified by the user (referred to as "Confirm Within").
Reversal Points [CC]This original script was created based on a suggestion from @kerpiciwuasile. My original Reversal Points script was removed because I modeled it after an indicator by Demark, but this script will have no such issues. Reversal points are an exciting concept for me because it is such a useful tool when placing trades. This is my first attempt at a new overall layout for my script and I included a bunch of customization so let me know what you think.
My script works by finding lows that are surrounded by bars that have higher lows and highs that are surrounded by lower highs. I use this logic to find short term lows or highs and I use the same concept to find mid-term lows or highs but a mid-term high is a short term high surrounded by lower short term highs and a mid-term low is a short term low surrounded by higher short term lows. And of course this means that long term highs or lows use the same logic to find highs or lows that are surrounded by mid-term highs or lows. I would recommend to buy at the long term low points or sell at the long term high points.
Keep in mind of course that short term highs and lows are very common and reversal points will get rarer as you look for longer term reversal points. I would recommend to experiment and see which reversal points work best for you and of course, know that there is no magical formula to use for all stocks.
Also there are a few scenarios where you want to enable or disable the inside bar setting. You would want to ignore inside bars if the market is currently very volatile or if you are using this indicator on a crypto chart. This is not an exact science but more of a recommendation, so feel free to experiment with it.
Reversal points are crucial for traders as they signal a potential change in the market trend, providing opportunities for entry or exit.
In summary, this code snippet is a powerful tool for traders to detect and visualize reversal points on a trading chart, providing valuable insights into potential trend changes and facilitating more informed trading decisions.
Let me know if you would like me to publish other scripts or if you want me to do something custom for you!
Trampoline DotsTrampoline Dots (Price Divergence)
Higher Time Frame Price Divergence:
Trampoline Dots serve as a "quick bounce" tool. These little dots will trigger whenever the higher aggregation MACD is above / below zero and the price is below / above the 50 period simple moving average. When these criteria are met, the price is usually under pressure of strong divergence, more often than not price will sharply reverse into the trend direction usually within the next few bars.
The Use of The Trampoline Dots:
This indicator can serve multiple ways. Obviously the main use case is the price divergence. These "dots" will not give you any precise & exact entry. But rather a zone of possible incoming reversal. There is no timing to it. All these dots will do is warn you about potential sharp reversal in the upcoming bars. It can be used by itself alone for sure, but the best way to utilize the dots is to use them in combination of other trend or momentum studies. The best signals are the ones that are within the larger time frame trend. Another great thing is that the visuals are really straight-forward and simple. It is either green dot or a red dot. Nothing more, nothing less. Also since the indicator is pretty small, it can be easily layered onto other studies as well which can create an additional confirmation for different patterns or setups.
Which Time Frame Are Reliable?
This indicator works on any time frame. But the most "stable" one is the daily & hourly time frame. My personal favorite is the hourly since these divergences can produce amazing entries in the daily trends (which are usually hidden on the daily chart). In the most aggresive trends, I like to see the green dots triggering around the 8 EMA and 13 EMA. Daily chart can show the daily and weekly (big divergences) that can take multiple days & weeks to resolve.
Hope it helps.
CFB-Adaptive Trend Cipher Candles [Loxx]CFB-Adaptive Trend Cipher Candles is a candle coloring indicator that shows both trend and trend exhaustion using Composite Fractal Behavior price trend analysis. To do this, we first calculate the dynamic period outputs from the CFB algorithm and then we injection those period inputs into a correlation function that correlates price input price to the candle index. The closer the correlation is to 1, the lighter the green color until the color turns yellow, sometimes, indicating upward price exhaustion. The closer the correlation is to -1, the lighter the red color until it reaches Fuchsia color indicating downward price exhaustion. Green means uptrend, red means downtrend, yellow means reversal from uptrend to downtrend, fuchsia means reversal from downtrend to uptrend.
What is Composite Fractal Behavior ( CFB )?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
Included
Loxx's Expanded Source Types
Related indicators:
Adaptive Trend Cipher loxx]
Dynamic Zones Polychromatic Momentum Candles
RSI Precision Trend Candles
Kase Peak Oscillator w/ Divergences [Loxx]Kase Peak Oscillator is unique among first derivative or "rate-of-change" indicators in that it statistically evaluates over fifty trend lengths and automatically adapts to both cycle length and volatility. In addition, it replaces the crude linear mathematics of old with logarithmic and exponential models that better reflect the true nature of the market. Kase Peak Oscillator is unique in that it can be applied across multiple time frames and different commodities.
As a hybrid indicator, the Peak Oscillator also generates a trend signal via the crossing of the histogram through the zero line. In addition, the red/green histogram line indicates when the oscillator has reached an extreme condition. When the oscillator reaches this peak and then turns, it means that most of the time the market will turn either at the present extreme, or (more likely) at the following extreme.
This is both a reversal and breakout/breakdown indicator. Crosses above/below zero line can be used for breakouts/breakdowns, while the thick green/red bars can be used to detect reversals
The indicator consists of three indicators:
The PeakOscillator itself is rendered as a gray histogram.
Max is a red/green solid line within the histogram signifying a market extreme.
Yellow line is max peak value of two (by default, you can change this with the deviations input settings) standard deviations of the Peak Oscillator value
White line is the min peak value of two (by default, you can change this with the deviations input settings) standard deviations of the PeakOscillator value
The PeakOscillator is used two ways:
Divergence: Kase Peak Oscillator may be used to generate traditional divergence signals. The difference between it and traditional divergence indicators lies in its accuracy.
PeakOut: The second use is to look for a Peak Out. A Peak Out occurs when the histogram breaks beyond the PeakOut line and then pulls back. A Peak Out through the maximum line will be displayed magenta. A Peak Out, which only extends through the Peak Min line is called a local Peak Out, and is less significant than a normal Peak Out signal. These local Peak Outs are to be relied upon more heavily during sideways or corrective markets. Peak Outs may be based on either the maximum line or the minimum line. Maximum Peak Outs, however, are rarer and thus more significant than minimum Peak Outs. The magnitude of the price move may be greater following the maximum Peak Out, but the likelihood of the break in trend is essentially the same. Thus, our research indicates that we should react equally to a Peak Out in a trendy market and a Peak Min in a choppy or corrective market.
Included:
Bar coloring
Alerts
T3 PPO [Loxx]T3 PPO is a percentage price oscillator indicator using T3 moving average. This indicator is used to spot reversals. Dark red is upward price exhaustion, dark green is downward price exhaustion.
What is Percentage Price Oscillator (PPO)?
The percentage price oscillator (PPO) is a technical momentum indicator that shows the relationship between two moving averages in percentage terms. The moving averages are a 26-period and 12-period exponential moving average (EMA).
The PPO is used to compare asset performance and volatility, spot divergence that could lead to price reversals, generate trade signals, and help confirm trend direction.
What is the T3 moving average?
Better Moving Averages Tim Tillson
November 1, 1998
Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has privately traded options and equities for 15 years.
Introduction
"Digital filtering includes the process of smoothing, predicting, differentiating, integrating, separation of signals, and removal of noise from a signal. Thus many people who do such things are actually using digital filters without realizing that they are; being unacquainted with the theory, they neither understand what they have done nor the possibilities of what they might have done."
This quote from R. W. Hamming applies to the vast majority of indicators in technical analysis . Moving averages, be they simple, weighted, or exponential, are lowpass filters; low frequency components in the signal pass through with little attenuation, while high frequencies are severely reduced.
"Oscillator" type indicators (such as MACD , Momentum, Relative Strength Index ) are another type of digital filter called a differentiator.
Tushar Chande has observed that many popular oscillators are highly correlated, which is sensible because they are trying to measure the rate of change of the underlying time series, i.e., are trying to be the first and second derivatives we all learned about in Calculus.
We use moving averages (lowpass filters) in technical analysis to remove the random noise from a time series, to discern the underlying trend or to determine prices at which we will take action. A perfect moving average would have two attributes:
It would be smooth, not sensitive to random noise in the underlying time series. Another way of saying this is that its derivative would not spuriously alternate between positive and negative values.
It would not lag behind the time series it is computed from. Lag, of course, produces late buy or sell signals that kill profits.
The only way one can compute a perfect moving average is to have knowledge of the future, and if we had that, we would buy one lottery ticket a week rather than trade!
Having said this, we can still improve on the conventional simple, weighted, or exponential moving averages. Here's how:
Two Interesting Moving Averages
We will examine two benchmark moving averages based on Linear Regression analysis.
In both cases, a Linear Regression line of length n is fitted to price data.
I call the first moving average ILRS, which stands for Integral of Linear Regression Slope. One simply integrates the slope of a linear regression line as it is successively fitted in a moving window of length n across the data, with the constant of integration being a simple moving average of the first n points. Put another way, the derivative of ILRS is the linear regression slope. Note that ILRS is not the same as a SMA ( simple moving average ) of length n, which is actually the midpoint of the linear regression line as it moves across the data.
We can measure the lag of moving averages with respect to a linear trend by computing how they behave when the input is a line with unit slope. Both SMA (n) and ILRS(n) have lag of n/2, but ILRS is much smoother than SMA .
Our second benchmark moving average is well known, called EPMA or End Point Moving Average. It is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length. The price we pay for this is that it is much noisier (less smooth) than ILRS, and it also has the annoying property that it overshoots the data when linear trends are present.
However, EPMA has a lag of 0 with respect to linear input! This makes sense because a linear regression line will fit linear input perfectly, and the endpoint of the LR line will be on the input line.
These two moving averages frame the tradeoffs that we are facing. On one extreme we have ILRS, which is very smooth and has considerable phase lag. EPMA has 0 phase lag, but is too noisy and overshoots. We would like to construct a better moving average which is as smooth as ILRS, but runs closer to where EPMA lies, without the overshoot.
A easy way to attempt this is to split the difference, i.e. use (ILRS(n)+EPMA(n))/2. This will give us a moving average (call it IE /2) which runs in between the two, has phase lag of n/4 but still inherits considerable noise from EPMA. IE /2 is inspirational, however. Can we build something that is comparable, but smoother? Figure 1 shows ILRS, EPMA, and IE /2.
Filter Techniques
Any thoughtful student of filter theory (or resolute experimenter) will have noticed that you can improve the smoothness of a filter by running it through itself multiple times, at the cost of increasing phase lag.
There is a complementary technique (called twicing by J.W. Tukey) which can be used to improve phase lag. If L stands for the operation of running data through a low pass filter, then twicing can be described by:
L' = L(time series) + L(time series - L(time series))
That is, we add a moving average of the difference between the input and the moving average to the moving average. This is algebraically equivalent to:
2L-L(L)
This is the Double Exponential Moving Average or DEMA , popularized by Patrick Mulloy in TASAC (January/February 1994).
In our taxonomy, DEMA has some phase lag (although it exponentially approaches 0) and is somewhat noisy, comparable to IE /2 indicator.
We will use these two techniques to construct our better moving average, after we explore the first one a little more closely.
Fixing Overshoot
An n-day EMA has smoothing constant alpha=2/(n+1) and a lag of (n-1)/2.
Thus EMA (3) has lag 1, and EMA (11) has lag 5. Figure 2 shows that, if I am willing to incur 5 days of lag, I get a smoother moving average if I run EMA (3) through itself 5 times than if I just take EMA (11) once.
This suggests that if EPMA and DEMA have 0 or low lag, why not run fast versions (eg DEMA (3)) through themselves many times to achieve a smooth result? The problem is that multiple runs though these filters increase their tendency to overshoot the data, giving an unusable result. This is because the amplitude response of DEMA and EPMA is greater than 1 at certain frequencies, giving a gain of much greater than 1 at these frequencies when run though themselves multiple times. Figure 3 shows DEMA (7) and EPMA(7) run through themselves 3 times. DEMA^3 has serious overshoot, and EPMA^3 is terrible.
The solution to the overshoot problem is to recall what we are doing with twicing:
DEMA (n) = EMA (n) + EMA (time series - EMA (n))
The second term is adding, in effect, a smooth version of the derivative to the EMA to achieve DEMA . The derivative term determines how hot the moving average's response to linear trends will be. We need to simply turn down the volume to achieve our basic building block:
EMA (n) + EMA (time series - EMA (n))*.7;
This is algebraically the same as:
EMA (n)*1.7-EMA( EMA (n))*.7;
I have chosen .7 as my volume factor, but the general formula (which I call "Generalized Dema") is:
GD (n,v) = EMA (n)*(1+v)-EMA( EMA (n))*v,
Where v ranges between 0 and 1. When v=0, GD is just an EMA , and when v=1, GD is DEMA . In between, GD is a cooler DEMA . By using a value for v less than 1 (I like .7), we cure the multiple DEMA overshoot problem, at the cost of accepting some additional phase delay. Now we can run GD through itself multiple times to define a new, smoother moving average T3 that does not overshoot the data:
T3(n) = GD ( GD ( GD (n)))
In filter theory parlance, T3 is a six-pole non-linear Kalman filter. Kalman filters are ones which use the error (in this case (time series - EMA (n)) to correct themselves. In Technical Analysis , these are called Adaptive Moving Averages; they track the time series more aggressively when it is making large moves.
Jurik-Filtered, Adaptive Laguerre PPO [Loxx]Jurik-Filtered, Adaptive Laguerre PPO is an indicator used to find reversals. Smoothing with a Jurik Filter reduces noise and better identifies reversal points.
What is Laguerre Filter?
The Adaptive Laguerre is based on the Laguerre filter, described by John Ehlers in his paper “Time Warp – Without Space Travel”. It applies a variable gamma factor, based on how well the filter is tracking previous price movement. As with other adaptive moving averages, the Adaptive Laguerre tracks trending markets closely but will see less changes in range-bound markets.
The Adaptive Laguerre filter allows for an adjustment of the simple Laguerre filter. When price moves away from the filter, it becomes faster. When price moves sideward, the filter gets slower. Accordingly, this indicator belongs to the same class of moving average as the Kaufman Adaptive Moving Average (KAMA). It similar to the Volatility Index Dynamic Average (VIDYA) developed by Tushar Chande. The Adaptive Laguerre filter is smoother than the VIDYA and will adjust slower to price action after consolidations.
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included:
-Toggle on/off bar coloring
MTF ATR Levels by makuchakuKnowing how big a range one is operating in (from a higher time frame perspective) is very important to understand where the reversals could potentially come from.
This indicator uses the closing price of previous HTF candle and plots its ATR range - and several levels on top of it.
+/- 75%
+/- 100%
+/- 150%
+/- 200%
+/- 300%
ATR Volume DivergenceThe indicator measures ATR relative to VOLUME of each candle, marks the candles where there is more volume than in the previous one, but a lower ATR - signifying a compression in price movement - resistance. It also marks the candle where there is a greater ATR than in the previous candle, but lower volume - signifying an expansion in price movement - vacuum.
P.S. Bring indicator to FRONT to see the colored candles clearly
%R Trend Exhaustion [upslidedown]I love Williams %R! This indicator mixes two %R periods... a standard %R with a longer period %R. The longer period of 112 has interesting results for trend following strategies in the crypto market through backtesting.
Alone these are fairly ordinary but together they provide a very interesting trend exhaustion/reversal system while filtering out some noise. I have highlighted key areas of interest with filled boxes. An "area of interest" is when there is confluence between the short and long period %R values along with being overbought or oversold. Once there is a break in the overbought or oversold trend, an arrow will print.
This is one of my odder ideas that appears to have some merit and detects interesting tops or bottoms (or confirms a trend reversal) so I'm publicly publishing for the community to find. If you find this useful please reach out and let me know how you use it as it's fairly unique... and thus different than anything I've ever seen or used.
RSI CCI Correlating Oscillator (RCCO) by empowerTRCCO is pronounced "ree-koh" or "rico".
The RCCO is simply the plot of the values of both the RSI and CCI added together.
The RCCO makes some adjustments though, so that both the RSI and the CCI will fit correctly on the same scale - and so that these adjustments for scale allow reversals to be detected at crossings.
When the CCI crosses from underneath to up above the RSI, this is usually a bullish reversal. Alternatively, when the CCI crosses from above to back under the RSI, that usually signals a bearish trend. Look for the widest swings you can find to ensure good momentum. The larger the volume, the clearer and more decisive the trends. Low volume will lead to ranging and lazy momentum. High volume will create clear and forceful trends. The lowest negative RCCO in a timeframe, and then add some high volume... and you have yourself a good setup for a successful trade.
Because the RSI and CCI are adjusted, you may not recognize their values from having used the respective indicators on their own. The RSI and CCI values are less important. What matters with this indicator are the crossings and the RCCO value. The RCCO value should be negative, preferably, a deeply negative value. Look at the historical chart for the target per your selected timeframe and decide what values work for you.
I hope you enjoy the RCCO and that it can help you become a little más RICO!
Ehlers Convolution Indicator [CC]The Convolution Indicator was created by John Ehlers (Cycle Analytics For Traders pgs 170-174) and this is version of an indicator to find potential reversal points. The idea behind this indicator is to use a variation of his AutoCorrelation Indicator that transforms the data using digital signal processing and as you can see it looks very similar to his BandPass Filter . The idea is that when this indicator peaks then it has reached a potential reversal point and so the stock may continue in the current direction but most of the time this indicator correctly points out the reversal points. I have included normal buy and sell signals but generally speaking you would want to buy when the indicator is around 0.05 to 0.10 and moving up and sell when it reaches its peak and is starting to move down.
Let me know if you have any other scripts you would like to see me publish!
ArcTan Oscillator [LuxAlgo]The following indicator is a normalized oscillator making use of the arc tangent sigmoid function (ArcTan), this allows to "squarify" the output result, thus visually filtering out certain variations originally in the oscillator. The magnitude of this effect can be controlled by the user. The indicator contains a gradient that shows the possibility of a reversal, with red colors indicating that a reversal might occur.
Settings
Length : Period of the oscillator
Pre-Gain : Changes the amplitude of the oscillator before passing through the ArcTan function, this allows to amplify/reduce the "squarification" effect introduced by this function. In order to make it easier for the user, the setting is in a (-10,10) range, with negative values reducing the amplitude and positive one increasing it.
Src : Source input of the indicator
Usage
The oscillator can be used to determine the direction of the trend by looking at its sign, if the oscillator is positive, market is up-trending, else down-trending, based on this usage the user might not be interested to look at every variations produced by the oscillator, this is where the hyperbolic tangent function and pre-gain setting can be useful, by using an high value of pre-gain the user will be able to only focus on the sign of the oscillator.
Here pre-gain is set to 5, we can see that the oscillator is now easier to visualize. However, the use of sigmoid functions remove useful information for a trader that needs to find divergences, this is where using a negative value of the pre-gain setting will result useful.
Here pre-gain is set to -5.
The indicator makes use of a gradient to show potential reversals, this gradient is determined by the correlation between the oscillator and the price (this is a way to measure potential divergences). If the color is closer to red it means that a potential reversal might occur, it is possible to say in which direction price might go by looking at the sign of the oscillator, so if the gradient is red and the oscillator is negative price might rise. The gradient is not affected by the pre-gain setting.
Auto Analysis Short-term Reversals ExplorationAuto Analysis Short-term Reversals Exploration
Based on a study by Larry Lovrencic
Closing Price Reversals Automatic Analysis
Hook Reversals Automatic Analysis
Island Reversals Automatic Analysis
Key Reversals Automatic Analysis
Open/Close Reversals Automatic Analysis
Pivot Point Reversals Automatic Analysis
ETS MA Deviation ExtremesWhile trading, I noticed that emphasis is often placed on how far price has moved from the moving average (whichever a trader prefers). In these cases I also found that Bollinger Bands only sometimes played a factor in determining whether price had moved "too far" from the moving average to potentially result in a sharp move back to the average.
Because I wanted something more objective than a "gut feeling" that price has moved away from the average enough to make it move back, I decided to see what I could do to determine the standard deviation of how price action moved away from the average , in order to determine when it could potentially have a "rubber band effect" to jump back to the "norm". The result of that is the ETS MA Deviation Extremes indicator, and I hope that it will help you in your trading.
The indicator also has bar coloring included, which can be turned off, which gives a good on-chart visual to warn you that the price action might reverse. This has often helped me to be a bit more cautious before just jumping into a trade that might be on the brink of reversing and taking my position out, and it actually turned out to be a good indicator for a reversal trade strategy.
The histogram bars give an indication of how far the price has moved away from the average, and I look for a potential reversal as soon as the histograms move back inside the deviation lines after having been outside it. The bar coloration actually depend on more than one set of deviation lines, but putting all of that on the chart just makes it confusing, so I removed the ones that I felt were not essential to make it clearer.
I hope it helps you in your trading and makes it easier for you to trade successfully!
VPTbollfib & Camarilla (Danarilla)I do not own the original indicators. This is just a combination of the two because of their nature to work in a similar way.
Camarilla Pivots run on the basis of intraday range trading. Usually after daily open you look the fade whatever move happened before. by shorting R3/H3 levels or longing R3/L3. Targeting the other side of the range. This is the infamous PivotBoss level calculations and you would want to activate camarilla and turn off the normal pivots. They use the previous days volatility to plot the next days levels.
But what about some confirmation?
Well RafaelIzoni (who made it open source for improvement) threw together this VPTbollfib. It is volume price trend crossing down a fib line using bollinger bands as price envelope. The beauty of this is that It will signal usually counter to current price action based on selling into uptrends or vise versa. Meaning you get signals to counter price. Which is what you might be looking for on range day trade scalps for camarilla. A wick reversal or engulfing + volume based signal is a very happy pairing together. And those signals are usually suitable for the target of the range you are day trading. Hourly time frame works quite well for both. And camarilla should also be on daily settings.
Special Thanks to Nanda (who published the pivotboss indicator AND) Helped to merge the scripts together.
This indicator alone is an entire trade system. Camarilla already is. If you know the rules. it can be used for entries, exits, risk management to trade the range on TREND, COUNTER TREND, and BREAKOUT plays. The bollinger band fibs add confirmation to the trends levels. And the VPT adds a secondary confirmation to take a camarilla trade.
Try it out. I think you will find both the levels on camarilla and the VPT signals quite suprising.
Bollinger Bands Deviation - yo_adriiiiaanBollinger Band Deviations
In theory price trades within 2 standard deviations 95% of the time. This is an attempt to capture that 5% that deviates from the bands.
Useful for taking profit or signaling a reversal.
