SuperTrend Fisher [AlgoAlpha]🚀🌟 Introducing the "Super Fisher" by AlgoAlpha, a sophisticated and versatile tool crafted for the discerning trader. This innovative indicator merges the precision of the Fisher Transform with the adaptability of the SuperTrend methodology, offering a fresh perspective on market analysis. 📈🔍
Key Features:
🔶 Customizable Settings: Tailor the indicator to your trading style with adjustable inputs like "Fair-value Period" and "EMA Length". Choose your preferred "Up Color" and "Down Color" for a personalized visual experience.
🔶 Advanced Fisher Transform: At the heart of this tool is the Fisher Transform, an algorithm renowned for pinpointing potential price reversals by normalizing asset prices.
🔶 Integrated SuperTrend Functionality: This feature adds a layer of trend analysis, using the refined Fisher Transform values to generate dynamic, trend-following signals.
🔶 Enhanced Visualization: Clearly distinguishable bullish and bearish market phases, thanks to the color-coded plots of Fisher Transform and SuperTrend values.
🔶 Overbought/Oversold Levels: Visual plots and fills for these levels provide additional insights into market extremities.
🔶 Configurable Alerts: Stay informed with alerts for critical market movements like crossing the zero line or the SuperTrend.
Logic:
The "Super Fisher" operates on a sophisticated algorithm:
1. Fisher Transform Calculation: It starts by calculating the Detrended Price Oscillator (DPO) and its standard deviation. These values are then transformed using the Fisher Transform formula, which is subsequently smoothed with a Hull Moving Average.
2. SuperTrend Integration: The SuperTrend function employs the Fisher Transform values to create a dynamic trend-following tool. It calculates upper and lower bands and determines which one to use for market direction based on whether the fisher is above or below the bands, offering an insightful view of the price trend.
3. Overbought/Oversold Identification: The tool plots specific levels to indicate overbought and oversold conditions, aiding in the identification of potential reversal points.
Here's a closer look at the core calculations:
Calculates the Fisher Transform:
value = 0.0
value := round_(.66 * ((src - low_) / (high_ - low_) - .5) + .67 * nz(value ))
fish1 = 0.0
fish1 := .5 * math.log((1 + value) / (1 - value)) + .5 * nz(fish1 )
fish1 := ta.hma(fish1, l)
Calculates the SuperTrend:
supertrend(factor, atrPeriod, srcc) =>
src = srcc
atr = atrr(srcc, atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or srcc < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or srcc > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := srcc > upperBand ? -1 : 1
else
direction := srcc < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
How to Use:
📊 To maximize the potential of the "Super Fisher", follow these steps:
1. Customize Settings: Adjust the inputs to match your trading preferences. This includes setting the periods for the Fisher Transform and SuperTrend, as well as choosing colors for better visualization.
2. Analyze the Market: Observe the Fisher Transform and SuperTrend plots to gauge market direction. Pay special attention to color changes, as they indicate shifts in market sentiment.
3. Identify Extremes: Use the overbought and oversold plots to understand potential reversal points.
4. Set Alerts: Utilize the alert functionality to stay informed about significant market movements, ensuring you never miss an opportunity.
🔥 In summary the "Super Fisher" is a comprehensive market analysis tool designed to enhance your trading insights and decision-making process. 📉🌟🚨
Analisi onde
Median Proximity Percentile [AlgoAlpha]📊🚀 Introducing the "Median Proximity Percentile" by AlgoAlpha, a dynamic and sophisticated trading indicator designed to enhance your market analysis! This tool efficiently tracks median price proximity over a specified lookback period and finds it's percentile between 2 dynamic standard deviation bands, offering valuable insights for traders looking to make informed decisions.
🌟 Key Features:
Color-Coded Visuals: Easily interpret market trends with color-coded plots indicating bullish or bearish signals.
Flexibility: Customize the indicator with your preferred price source and lookback lengths to suit your trading strategy.
Advanced Alert System: Stay ahead with customizable alerts for key trend shifts and market conditions.
🔍 Deep Dive into the Code:
Choose your preferred price data source and define lookback lengths for median and EMA calculations. priceSource = input.source(close, "Source") and lookbackLength = input.int(21, minval = 1, title = "Lookback Length")
Calculate median value, price deviation, and normalized value to analyze market position relative to the median. medianValue = ta.median(priceSource, lookbackLength)
Determine upper and lower boundaries based on standard deviation and EMA. upperBoundary = ta.ema(positiveValues, lookbackLength) + ta.stdev(positiveValues, lookbackLength) * stdDevMultiplier
lowerBoundary = ta.ema(negativeValues, lookbackLength) - ta.stdev(negativeValues, lookbackLength) * stdDevMultiplier
Compute the percentile value to track market position within these boundaries. percentileValue = 100 * (normalizedValue - lowerBoundary)/(upperBoundary - lowerBoundary) - 50
Enhance your analysis with Hull Moving Average (HMA) for smoother trend identification. emaValue = ta.hma(percentileValue, emaLookbackLength)
Visualize trends with color-coded plots and characters for easy interpretation. plotColor = percentileValue > 0 ? colorUp : percentileValue < 0 ? colorDown : na
Set up advanced alerts to stay informed about significant market movements. // Alerts
alertcondition(ta.crossover(emaValue, 0), "Bullish Trend Shift", "Median Proximity Percentile Crossover Zero Line")
alertcondition(ta.crossunder(emaValue, 0), "Bearish Trend Shift", "Median Proximity Percentile Crossunder Zero Line")
alertcondition(ta.crossunder(emaValue,emaValue ) and emaValue > 90, "Bearish Reversal", "Median Proximity Percentile Bearish Reversal")
alertcondition(ta.crossunder(emaValue ,emaValue) and emaValue < -90, "Bullish Reversal", "Median Proximity Percentile Bullish Reversal")
🚨 Remember, the "Median Proximity Percentile " is a tool to aid your analysis. It’s essential to combine it with other analysis techniques and market understanding for best results. Happy trading! 📈📉
Trended CVD [Mxwll]Hey!
This indicator "Trended CVD" categorizes price movement by trend (using zig zag) and calculates cumulative volume delta for the entirety of the price move.
Features
CVD calculated for the trend
CVD divergences are distinguished (uptrend and falling CVD / downtrend and rising CVD)
CVD output normalized to scale with chart, and is plotted alongside the trend
Can be used for trend confirmation (CVD trend correlating with price trend)
All regular zig-zag features available
What constitutes a trend is customizable. Can locate small, medium, large price trends with detailed user-input settings.
How-To Use Trended CVD
The image above shows one of two primary uses for the indicator.
In the left-half of the image, price is downtrending simultaneously with CVD; thereby, CVD is confirming the downtrend.
The right-half of the image shows price uptrending simultaneously with CVD; CVD is confirming the uptrend.
This information can be used to classify the "strength" of the price move, and decide to trade with it or against it.
The image above shows the second primary use for the indicator.
A slight price decrease transpires while CVD increases - CVD diverging upwards from the price trend.
This information can be used to classify the strength of the downtrend, and decide to trade against it, or abstain from trading with it.
The image above shows, subsequent to divergence, price failed to sustain "meaningful" downwards movement.
Labels oriented at the final pivot of a trend show the cumulative volume delta for the entirety of the price move (distinguishable by the superimposed zig zag line).
That's really it! A more complex concept integrated with a simple output.
Thank you!
Squeeze & Release [AlgoAlpha]Introduction:
💡The Squeeze & Release by AlgoAlpha is an innovative tool designed to capture price volatility dynamics using a combination of EMA-based calculations and ATR principles. This script aims to provide traders with clear visual cues to spot potential market squeezes and release scenarios. Hence it is important to note that this indicator shows information on volatility, not direction.
Core Logic and Components:
🔶EMA Calculations: The script utilizes the Exponential Moving Average (EMA) in multiple ways to smooth out the data and provide indicator direction. There are specific lengths for the EMAs that users can modify as per their preference.
🔶ATR Dynamics: Average True Range (ATR) is a core component of the script. The differential between the smoothed ATR and its EMA is used to plot the main line. This differential, when represented as a percentage of the high-low range, provides insights into volatility.
🔶Squeeze and Release Detection: The script identifies and highlights squeeze and release scenarios based on the crossover and cross-under events between our main line and its smoothed version. Squeezes are potential setups where the market may be consolidating, and releases indicate a potential breakout or breakdown.
🔶Hyper Squeeze Detection: A unique feature that detects instances when the main line is rising consistently over a user-defined period. Hyper squeeze marks areas of extremely low volatility.
Visual Components:
The main line (ATR-based) changes color depending on its position relative to its EMA.
A middle line plotted at zero level which provides a quick visual cue about the main line's position. If the main line is above the zero level, it indicates that the price is squeezing on a longer time horizon, even if the indicator indicates a shorter-term release.
"𝓢" and "𝓡" characters are plotted to represent 'Squeeze' and 'Release' scenarios respectively.
Standard Deviation Bands are plotted to help users gauge the extremity and significance of the signal from the indicator, if the indicator is closer to either the upper or lower deviation bands, this means that statistically, the current value is considered to be more extreme and as it is further away from the mean where the indicator is oscillating at for the majority of the time. Thus indicating that the price has experienced an unusual amount or squeeze or release depending on the value of the indicator.
Usage Guidelines:
☝️Traders can use the script to:
Identify potential consolidation (squeeze) zones.
Gauge potential breakout or breakdown scenarios (release).
Fine-tune their entries and exits based on volatility.
Adjust the various lengths provided in the input for better customization based on individual trading styles and the asset being traded.
BDC - Bitcoin (BTC) Dominance Change [Logue]Bitcoin Dominance Change. Interesting things tend to happen when the Bitcoin dominance increases or decreases rapidly. Perhaps because there is overexuberance in the market in either BTC or the alts. In back testing, I found a rapid 13-day change in dominance indicates interesting switches in the BTC trends. Prior to 2019, the indicator doesn't work as well to signal trend shifts (i.e., local tops and bottoms) likely based on very few coins making up the crypto market.
The BTC dominance change is calculated as a percentage change of the daily dominance. You are able to change the upper bound, lower bound, and the period (daily) of the indicator to your own preferences. The indicator going above the upper bound or below the lower bound will trigger a different background color.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of Bitcoin.
Cycles MasterCycles Master Indicator
The "Cycles Master" indicator is a powerful tool designed to reveal cyclical patterns within market trends. It operates with precision, allowing users to adjust cycle lines to the top of prices using the "Multiplication" parameter.
Multiplication: Aligning Cycle Lines
The "Multiplication" parameter serves a crucial role in aligning cycle lines with the upper extremes of price action. Increasing this value adjusts the cycles upward, offering a clearer view of cyclical patterns in relation to price peaks.
MA Length: Cycle Frequency
Meanwhile, the "MA Length" parameter determines the frequency of cycles displayed on the chart. A shorter length leads to more frequent cycles, capturing shorter-term market fluctuations. In contrast, a longer length smooths out cycles, revealing longer-term trends.
Interpreting the Indicator:
Each line represents a unique cyclical variation derived from the chosen moving average type and its parameters.
The alignment of these cycles with price peaks assists in spotting potential trend reversals or shifts in market momentum.
Usage Recommendations:
Adjust the "Multiplication" value to precisely align cycle lines with price peaks, aiding in accurate identification of cyclic patterns in relation to market highs.
Tailor the "MA Length" parameter to capture cycles of varying frequencies, catering to short-term fluctuations or longer-term trends.
Complement this indicator with additional analysis tools for a comprehensive market assessment.
Gradient Vertical Box: Cycle Line Colors
Located at the middle right of the chart, the gradient vertical box showcases varying colors that correspond to the cycle lines displayed. The colors portray the intensity and diversity of the cycles observed within the market.
Within this gradient vertical box, the top of the gradient is marked with an "H," symbolizing the Highs of cycles, while the bottom displays an "L," signifying the Lows of cycles. This arrangement provides a clear visual reference for interpreting the cycle lines.
Risk Advisory:
While the indicator assists in market analysis, it should be used alongside other indicators or analysis methods.
It does not guarantee specific market outcomes; hence, traders should practice caution and employ proper risk management strategies.
WPO Modified [BackQuant]The Wave Period Oscillator (WPO), developed by Akram El Sherbini, is a sophisticated technical analysis tool that offers traders a dynamic way to interpret market cycles. Its design is inspired by the natural ebb and flow of markets, which often follow cyclical patterns driven by underlying economic, political, and psychological factors. The oscillator's unique contribution to market analysis lies in its ability to smooth out the "noise" inherent in daily price movements, thus providing a clearer view of the market's rhythmic fluctuations over time.
-----> Time Cycle Oscillators' in the IFTA Journal 2018 (page 66 - 77), as found below:
ifta.org
El Sherbini's WPO is grounded in the concept of wave period analysis, which suggests that financial markets move in waves or cycles. The oscillator translates these movements into a visual tool that oscillates above and below a central zero line. Peaks and troughs on the oscillator correspond to the crests and troughs of market price waves, providing a visual representation of the market's heartbeat.
The WPO is not merely a tool for identifying trends but also for detecting shifts in market momentum. It does this through a mathematical model that measures divergence—when the direction of the oscillator deviates from the direction of price movement. Such divergences can be precursors to potential reversals or continuations in the market, offering traders advance notice of significant changes in price direction.
Further refining its utility, the WPO incorporates methods for calculating divergence that are sensitive to the unique conditions of different markets and securities. This includes adjusting for volatility and market velocity, allowing the oscillator to provide relevant signals regardless of the market environment.
In practical terms, traders use the WPO to time their entries and exits with greater precision. When the oscillator shows a high peak or a deep trough, it can signal that a market is potentially overbought or oversold, respectively. The WPO's smoothing property ensures that these signals are not just reactionary to short-term price spikes or drops, but indicative of more substantial, sustained movements.
By providing a more measured and smoothed analysis of market cycles, the WPO helps to filter out insignificant price movements and focus on the ones that matter—those that indicate a significant wave of buying or selling pressure. This can be particularly valuable in the cryptocurrency markets, where volatility is high, and traditional indicators may struggle to provide clear signals.
For traders and analysts alike, the Wave Period Oscillator represents a convergence of technical precision and market psychology. By focusing on the periodic nature of market movements, it aligns traders with the rhythm of the markets, potentially leading to more harmonious trading decisions that are in step with the market's natural waves.
Please see the backtest here:
For more simple terms:
You can use this indicator as a the oscillator
Above 0 for long
Below 0 for short
OR
WPO MA
Above 0 for long
Below 0 for short
Trend Strength GaugeTrend Strength Gauge with Modified Hull Moving Average (HMA)
Overview:
The indicator combines a modified Hull Moving Average (HMA) with a visual gauge that represents the strength and direction of the current trend. This helps traders quickly assess the trend's vigor and direction.
Key Features:
Modified Hull Moving Average (HMA):
Purpose: The HMA is a smoothed moving average designed to reduce lag and provide more responsive trend signals.
The indicator displays two HMA line and SMA line on the chart and fill color between them
based on HMA is above SMA or not.
Trend Strength Gauge:
Visualization: Below the chart, there's a gauge represented by gradient line gauge with "V" symbol.
The gauge line change color based on the direction of the trend.
Additionally, symbol "V" moves from solid color to transparent, indicating the trend's strength gradient.
Up Trend:
Dn Trend:
Trend Assessment:
When "V" at the strong teal collor it represents a strong positive trend (uptrend).
When "V" at the strong white collor it Indicates a strong negative trend (downtrend).
Arrow Movement: The symbol 'V' transitions from a solid color (teal or white) to a more transparent shade based on the strength of the trend.
Usage:
Trend Confirmation: Traders can use this indicator to confirm trends and assess their strength before making trading decisions.
Entry/Exit Points: The changing colors and transparency levels of the 'V' symbols can assist in identifying potential entry or exit points.
Can be used as a simple Hull indicator
This combined indicator simplifies trend analysis by offering an easily understandable visual representation of trend strength and direction.
Remember, while indicators are valuable tools, successful trading requires a comprehensive approach that incorporates multiple sources of information and risk management strategies.
Always exercise caution, apply critical thinking, and consider the broader market context when using indicators to make informed trading decisions.
Cumulative Volume Value (BTC)The Cumulative Volume Value (BTC) indicator is designed to visualize and analyze cumulative volume data specific to Bitcoin. This indicator provides insights into the total volume transacted over a time, aiding in understanding market activity and potential value of Bitcoin.
It considers whether the closing price is greater than the opening price over the defined length, adding or subtracting volume accordingly.
The Cumulative Volume Value (BTC) indicator offers a valuable perspective on Bitcoin's market activity by visualizing cumulative volume and providing insights into potential market tops, bottoms, and the relationship between volume and BTC value movements.
Peaks in the cumulative volume might suggest potential tops in the BTC market, indicating periods of intense trading activity.
Conversely, bottoms in cumulative volume might signal potential market bottoms, representing phases of reduced trading activity or consolidation.
This is how human psychology works. The greatest activity is close to the peak and the worst when the price of BTC has decreased to the level when people lose interest and faith in the cryptocurrency market and the volume of trades falls, then the best time to buy.
Important Considerations:
Historical patterns suggest a relationship between cumulative volume and market tops/bottoms, but this indicator should be used in conjunction with other technical analysis tools for informed trading decisions.
Past performance of cumulative volume in relation to market tops or bottoms does not guarantee future outcomes in financial markets.
Volatility ZigZagIt calculates and plots zigzag lines based on volatility and price movements. It has various inputs for customization, allowing you to adjust parameters like source data, length, deviation, line styling, and labeling options.
The indicator identifies pivot points in the price movement, drawing lines between these pivots based on the deviation from certain price levels or volatility measures.
The script labels various data points at the ZigZag pivot points on the chart. These labels provide information about different aspects of the price movement and volume around these pivot points. Here's a breakdown of what gets labeled:
Price Change: Indicates the absolute and average percentage change between the two pivot points. It displays the absolute or relative change in price as a percentage. Additionally, the average absolute price increase or the average rate of increase can also be labeled.
Volume: Shows the total volume and average volume between the two pivot points.
Number of Bars: Indicates the number of bars between the current and the last pivot point.
Reversal Price: Displays the price of the reversal point (the previous pivot).
Volume Spread Analysis [Ahmed]Greetings everyone,
I'm thrilled to present a Pine Script I've crafted for Volume Spread Analysis (VSA) Indicator. This tool is aimed at empowering you to make smarter trading choices by scrutinizing the volume spread across a specified interval.
The script delivers a comparative volume analysis, permitting you to fix the type and length of the moving average. It subsequently delineates the moving average (MA), MA augmented by 1 standard deviation (SD), and MA increased by 2 SD. You can fully personalize the color coding for these echelons.
Volume Spread Analysis is an analytical technique that scrutinizes candles and the volume per candle to predict price direction. It considers the volume per candle, the spread range, and the closing price.
To effectively leverage VSA, you need to adhere to a few steps:
1. Ensure you use candlesticks for trading. Other chart types like line, bar, and renko charts may not yield optimal results.
2. Confirm that your broker provides reliable volume data.
3. Be mindful of the chart's timeframe. Volume analysis may not be effective on very short timeframes such as a minute chart. I recommend using daily, weekly, or monthly charts.
Another tip is to examine the spread between the price bars and the volume bars to discern the trend.
The script not only makes it easier to integrate these principles into your trading but also brings precision and convenience to your analysis.
Please remember to adhere to Tradinview terms of service when using the script. Happy trading!
Cumulative Volume PriceCumulative Volume Price
Purpose :
The indicator aims to display a weighted average price based on cumulative volume and cumulative price within defined lengths.
How it works
Calculation Steps:
Cumulative Volume (cumvol): the cumulative total volume.
Cumulative Price (cumprice): the cumulative closing price.
Net Value (net): Calculates the weighted average price by dividing the cumulative price by the cumulative volume.
Formula:
net = (cumulative price * volume) / cumulative volume
Check for Rising Trend:
Utilizes a simple moving average to detect rising trends.
Uses the ta.rising() function to identify if the simple moving average is rising.
If the condition is met, the net value is retained; otherwise, it is inverted.
Interpretation:
Positive Values (Green): Indicates a positive weighted volume average price, potentially suggesting upward price momentum or buying pressure.
Negative Values (Red): Represents a negative weighted volume average price, possibly signaling downward price momentum or selling pressure.
Usage:
Trend Confirmation: Helps confirm trends based on changes in the weighted average price.
Volume-Price Relationship: Illustrates the relationship between cumulative volume and price movement.
Zig-Zag Open Interest Footprint [Kioseff Trading]Hello!
This script "Zig Zag Open Interest Footprint" calculates open interest x price values for zig zag trends!
Features
Open interest footprints anchored to zig zag trends
Summed OI x price level footprints
Total OI (for each category) for the entire trend shown
Standard POC lines, in addition to separated POC lines for each category of open interest x price possibility
Up to 9999 profile rows per zigzag trend
Stylistic options for profiles
Configurable zig zag - footprints generated for small to large trends
The zigzag indicator is configurable as normal; minor and major trend volume footprints are calculable. This indicator can be thought of as "Open Interest Footprint for Trends''.
Up to 9999 open interest levels (price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of open interest at price.
Zig Zag OI Footprints
The image above shows primary functionality!
Green = Higher OI + Higher Price
Yellow = Lower OI + Higher Price
Purple = Higher OI + Lower Price
Red = Lower OI + Lower Price
Profiles are generated for each trend identified by the zigzag indicator.
The image above shows the indicator calculating open interest x price for specific price blocks on the footprint. Aggregate open interest for the identified trend is displayed over the profile!
Neon highlighted values correspond to the highest open interest change for the category. This is a configurable option :D
The image above shows POC lines for each category of open interest x price!
Additionally, you can select to show a single POV for footprint - the single level the greatest amount of OI change occurred.
The indicator is robust enough to calculate on "long zig zags" and "short zig zags"; curved profiles can also be used!
The image above shows key levels, each OI footprint, and summed OI values for the current trend!
That's about it :D
This indicator is part of a series titled "Bull vs. Bear" - a suite of profile-like indicators I will be releasing over the coming days. Thanks for checking this out!
If you have any suggestions please feel free to share!
Elliot waves calibratorThis script is a part of the "Elliot waves" toolkit and need to be used with the "Elliot waves" script", because it's generating input parameters for the "Elliot waves" scripts.
You need to add script to chart and on the right bottom corner you can see table with calibration params. Those values you need to copy to "Elliot waves" script settings to see Elliot waves visualization on that chart.
Script settings:
Vertex filter - Value used in the "Elliot waves" script to filter highs and lows that are not an extreme over area width equal to vertex filter value. In edge cases it can change calbiration params. Both scripts should have set the same values of this param.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Elliot wavesA script marking Elliot waves on a chart.
This script can be used by any user. There is no need to have a PRO or PREMIUM account.
Script with limited access, contact author to get authorization
According to Elliott, a market cycle consists of eight waves. 5 upward waves and 3 downward waves following them, which are their corrections. In up and down movements, the odd waves are in the direction of the movement, and the even waves are their corrections. Analyzing in more detail, each direction movement again consists of 5 waves, and each correction consists of 3 waves.
The symbols used are non-standard (result of platform limitations):
Trend moves ⠀⠀⠀⠀⠀|⠀⠀Correction moves
𝐈 𝐈𝐈 𝐈𝐈𝐈 𝐈𝐕 𝐕 ⠀⠀⠀⠀⠀ |⠀⠀⠀ 𝐚 𝐛 𝐜
𝟏 𝟐 𝟑 𝟒 𝟓 ⠀⠀⠀⠀⠀⠀⠀|⠀⠀⠀ 𝐀 𝐁 𝐂
I II III IV V ⠀⠀⠀⠀⠀⠀⠀|⠀⠀⠀ a b c
1 2 3 4 5 ⠀⠀⠀⠀⠀⠀⠀ |⠀⠀⠀ A B C
(I) (II) (III) (IV) (V) ⠀ |⠀⠀⠀(a) (b) (c)
(1) (2) (3) (4) (5)⠀⠀ |⠀⠀⠀(A) (B) (C)
➀ ➁ ➂ ➃ ➄ ⠀⠀⠀⠀⠀ |⠀⠀⠀Ⓐ Ⓑ Ⓒ
❶ ❷ ❸ ❹ ❺ ⠀⠀⠀⠀⠀ |⠀⠀⠀🅐 🅑 🅒
This script is a part of the "Elliot waves" toolkit and require initial calibration done with separate script: "Elliot waves calibrator". Elliot waves calibrator will generate a set of numbers that you need to copy to Calibration params in script settings. Proper instruction will be shown on the screen.
Script settings:
Calibration - Fields used for script calibration.
Levels - Param deciding how many levels of waves should be shown on the chart. 0 is showing only the main waves, with +1 increase adding one more level of details.
Vertex filter - Filter eliminating highs and lows that are not an extreme over area width equal to vertex filter value.
8 sets of trend configurations, where you can specify: visiblity, line color, line width
Labels configuration where you can specify: visiblity, text size and text color.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Technical Analysis Notes👉 Hello trader.
- In the process of monitoring the list of trading pairs such as stocks, cryptocurrencies... I often mark signals such as: RSI divergence, MACD, Stochatic, RSI trendline, Trendline..."by hand" , like recording on a drawing board, or excell, notepad... Therefore, taking notes is very limited. In addition, each time frame gives different, inconsistent signals and it is difficult to analyze the trend of a trading pair. somehow.
- After a period of careful research, I created the "Technical Analysis notes" indicator to solve the problems mentioned above, and after using it, I personally found it very effective to mark it. Trading signals as well as trend analysis across time frames from small to large.
- For example: On weekends, I often use automatic scanning indicators (about 200 codes) RSI divergence, RSI trendline, Trendlines, MACD-histogram .. within a week, then mark trading pairs when there are signals. Signals such as RSI cutting its trend line, price breaking through the trend line, Histogram MACD divergence... in the weekly frame, from there look to the D1, H4 frames to see the next signals in those frames to find the direction of intersection. Move in the same direction as the weekly frame signal to trade in the same trend. From that analysis, I limit my ability to go against the trend, and wait patiently for the signals that have been noted before.
- On this board you can monitor 10 transaction codes (in real time)
- On this table I have given 4 different time frames (can be customized in settings)
- I add Kumo Cloud (ichimoku) signals on 4 time frames so that people can easily recognize the trend when the price is above the cloud (green circle), in the cloud (white circle), below the cloud (green circle). red circle)
- I add fast typing mode, shortcut typing depending on each person's description including 16 fast typing modes (for example: "ru:RSI br up" in my understanding means the RSI line has broken above the trend line direction)
- From the above example "ru:RSI br up" the sign ' : ' is the separator that must be present to interpret the word 'ru' as being typed quickly, and 'RSI br up' is the part that explains the content of that word typed quickly.
- In those 16 quick typing boxes (divided into 4 rows), the first 3 rows are colored with custom boxes for each person. The last remaining row is not filled.
- The content of note boxes can be hidden in the settings using the check box.
- In particular, the private notes column cannot be hidden, because it is the column for recording, synthesizing, analyzing, identifying main trends, or waiting points to place orders... (This box is the most important in my opinion. ..)
- Has a super smart warning mode (customizable) when Kumo cloud signals are in the same color on 4 time frames for the most certain trend (green - bullish, red - bearish)
- In the warning section, you can adjust from 4 time frames to 3 time frames, 2 time frames, 1 time frame.
- Alert mode lists exact code names when one or more codes qualify. (eg BTC, ADA, BNB...)
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👉 Vietnamess
- Trong quá trình theo dõi danh sách các cặp giao dịch như cổ phiếu, tiền điện tử...tôi thường đánh dấu các tín hiệu như : phân kì RSI, MACD, Stochatic, trendline RSI, Trendline ..."bằng tay", như ghi trên bảng vẽ, hoặc excell, notepad...Vì vậy ghi chép rất hạn chế ngoài ra mỗi khung thời gian cho các tín hiệu khác nhau, không đồng nhất và rất khó để phân tích xu hướng của một cặp giao dịch nào đó.
- Sau một thời gian nghiên cứu kĩ lưỡng tôi có lập lên được chỉ báo "ghi chép Phân tích kĩ thuật " nhằm giải quyết các vấn đề nêu như trên, và sau quá trình dùng, cá nhân tôi thấy rất hiệu quả khi đánh dấu các tín hiệu giao dịch cũng như phân tích xu hướng qua các khung thời gian từ nhỏ đến lớn.
- Ví dụ: Cuối tuần tôi thường dùng chỉ báo quét tự động(khoảng 200 mã) RSI phân kì, RSI trendline, Trendlines , MACD-histogram .. trong khung 1 tuần, sau đó đánh dấu những cặp giao dịch khi có những tín hiệu như RSI cắt đường xu hướng của nó, giá đột phá đường xu hướng, phân kì Histogram MACD.. trong khung tuần, từ đó tìm đến những khung D1,H4 xem các tín hiệu tiếp theo trong các khung đó để tìm hướng giao dịch cùng hướng với tín hiệu khung tuần để giao dịch cùng xu hướng. Từ những phân tích đó tôi hạn chế được đi ngược xu hướng, và kiên nhẫn chờ đợi khi có tín hiệu được đã ghi chú từ trước.
- Trên bảng này có thể theo õi được 10 mã giao dịch(theo thời gian thực)
- Trên bảng này tôi có đưa ra 4 khung thời gian khác nhau(có thể tùy chỉnh trong thiết lập)
- Tôi đưa thêm tín hiệu Mây Kumo( ichimoku) trên 4 khung thời gian để mọi người từ đó dễ dàng nhận biết xu hướng khi giá trên mây(dấu tròn xanh lá) , trong mây(dấu tròn trắng) , dưới mây(dấu tròn đỏ)
- Tôi đưa thêm chế độ gõ nhanh, gõ tắt tùy theo diễn tả của mỗi người gồm 16 chế độ gõ nhanh (ví dụ: "ru:RSI br up" theo ý hiểu của tôi là đường RSI đã phá vỡ lên trên đường xu hướng)
- Từ ví dụ trên "ru:RSI br up" dấu ' : ' là ngăn cách phải có để diễn giải từ 'ru' là gõ nhanh, còn 'RSI br up' là phần diễn giải nội dung của từ gõ nhanh đó
- Trong 16 ô gõ nhanh đó(được chia làm 4 hàng) có 3 hàng đầu được tô màu ô tùy chỉnh cầu mỗi người. hàng cuối cùng còn lại không được tô.
- Nội dung các ô ghi chú có thể được ẩn hiện trong mục cài đặt bằng ô dấu tích.
- Đặc biệt cột ghi chú riêng tư không ẩn được, vì đó là cột ghi chép, tổng hợp , phân tích , nhận định xu hướng chính, hay điểm chờ để đặt lệnh...(ô này theo tôi là quan trọng nhất...)
- Có chế độ cảnh báo siêu thông minh(có thể tùy chỉnh) khi tín hiệu mây Kumo cùng trên 4 khung thời gian cùng màu cho xu hướng chắc chắn nhất(xanh- tăng giá, đỏ- giảm giá)
- Trong mục cảnh báo có thể điều chỉnh từ 4 khung thời gian xuống còn 3 khung thời gian, 2 khung thời gian, 1 khung thời gian.
- Chế độ cảnh báo được liệt kê tên mã chính xác khi một hay nhiều mã đủ điều kiện .(ví dụ BTC , ADA , BNB...)
Dynamic Sine Wave The Dynamic Sine Wave is designed to calculate a sine wave that reflects the oscillations between the highest high and lowest low points over a specified period, providing traders with a unique perspective on market trends.
Why a Sine Wave is Relevant:
A sine wave is relevant in this context because it is a mathematical function that represents periodic oscillations, making it suitable for capturing the cyclic nature of price movements in financial markets.
By using a sine wave, this indicator highlights the repetitive patterns of price highs and lows over a specified period, which can assist traders in identifying potential trend reversals or continuations.
The sine wave's amplitude and frequency are adjusted based on the highest high and lowest low points, ensuring that it adapts to market volatility and provides a dynamic representation of price action.
Overall, the "Dynamic Sine Wave" indicator offers a unique perspective on market dynamics, helping traders make informed decisions by visualizing the ebb and flow of prices.
Hull WavesThe Hull Waves indicator is based on the Hull Moving Averages (HMA), which are special moving averages that stand out for their ability to filter out market noise and offer a clearer view of price trends. Compared to traditional moving averages, HMAs are more responsive yet smoother, allowing traders to capture significant price movements without getting overwhelmed by short-term fluctuations.
The HMAs integrated into Hull Waves provide two distinct perspectives on the price trend:
8-period HMA: This short-term HMA is extremely reactive and closely follows price changes. It is ideal for capturing short-term trading signals while the medium-term 21-period HMA offers a more balanced view of price trends and identifies medium-term trends.
By crossing HMAs, traders can efficiently identify trend reversal points or strong market continuations.
Another feature of the indicator is the “fan” of dynamic lines, which acts as a visual float for price candles, allowing traders to quickly evaluate trading opportunities.
The "fan" or float of dynamic lines represents a visual representation of the candle's price movements. These lines extend from the start point to the end point, like an open fan. This visual approach makes the market dynamics immediately evident.
Strategy:
Long Entry Signal (Buy):
When the Hull Waves range shows a series of upward sloping lines and the Hull Moving Averages (e.g. 8-period HMA) crosses the 21-period HMA upwards, it is a long entry signal.
Confirmation of the signal can come from an increase in trader volume or other supporting indicators.
Place a buy order at the next closing price.
Short Entry Signal (Sell):
When the Hull Waves range shows a series of downward sloping lines and the Hull Moving Averages (e.g. 8-period HMA) crosses the 21-period HMA downward, it is a short entry signal.
Confirm the signal with an increase in trader volume or other relevant indicators.
Place a sell order at the next closing price.
Exit Signal (Closing a Position):
To close a long position, wait for a signal reversal, such as the Hull Moving Averages crossing downwards or a change in the Hull Waves range.
To close a short position, wait for a signal reversal, such as the Hull Moving Averages crossing higher or a change in the Hull Waves range.
ZigZag++ FibonacciAuto Fibonacci tools are powerful ways designed to simplify your technical analysis by automatically drawing Fibonacci retracement and extension levels on your chart. This indicator is built to enhance your trading experience with clearer market moves and informative insights.
You can easily spot your waves and patterns when the percentages are moving with you.
Key Features:
Automated Fibonacci Levels: Plots Fibonacci retracement and extension levels based on recent price movements.
Multi-Timeframe Support: This indicator is your versatile companion, offering multi-timeframe functionality. You can seamlessly track Fibonacci levels across different resolutions, providing a comprehensive view of the market.
Two Types of Fibs: Retracement and Timeframe extension Fibonacci levels. Use retracements to identify potential reversal points and extensions to anticipate price targets, giving you a well-rounded perspective on market movements.
Benefits:
Save Time: No more manual Fibonacci drawing; It does this for you in real-time.
Enhanced Analysis: Gain a deeper understanding of potential support, resistance, and price targets.
User-Friendly: Suitable for traders of all levels, this indicator simplifies complex technical analysis.
For the math lovers
I started creating the ZigZag++ based on the MT4 calculation as I found it better performing than the tradingview inbuilt one. I have revised the calculation couple of times and now the final calculation is simple yet more accurate for my analysis.
First, I observe the market direction for the last Depth setting by comparing the rate at which high values reduce and low values increase. When the number of ticks set by Deviation is crossed and the last cross is more than the Backstep candles, then we have our ZigZag points.
These are the points we use in our Fibonacci calculation.
Checkout ZigLib below to use the same logic in your scripts.
Sample usage
This is a 4 Hour configuration with the default settings.
When the trend reversed, some key points I watch are 0.618 and 0.5. The market retraced back and formed the new point for the next ZigZag line on that level. This market behaviour happens quite often on these Fibonacci points. I would be looking for reversal or a break in this zone to know the next step.
Resources
ZigZag++ Lib by me; for retrieving the line points.
Fibonacci Toolkit by Lux Algo; For drawing the Timeframe Fibs. Very Amazing script.
Zigzag Chart Points█ OVERVIEW
This indicator displays zigzag based on high and low using latest pine script version 5 , chart.point which using time, index and price as parameters.
Pretty much a strip down using latest pine script function, without any use of library .
This allow pine script user to have an idea of simplified and cleaner code for zigzag.
█ CREDITS
LonesomeTheBlue
█ FEATURES
1. Label can be show / hide including text can be resized.
2. Hover to label, can see tooltip will show price and time.
3. Tooltip will show date and time for hourly timeframe and below while show date only for day timeframe and above.
█ NOTES
1. I admit that chart.point just made the code much more cleaner and save more time. I previously using user-defined type(UDT) which quite hassle.
2. I have no plan to extend this indicator or include alert just I thinking to explore log.error() and runtime.error() , which I may probably release in other publications.
█ HOW TO USE'
Pretty much similar inside mentioned references, which previously I created.
█ REFERENCES
1. Zigzag Array Experimental
2. Simple Zigzag UDT
3. Zig Zag Ratio Simplified
4. Cyclic RSI High Low With Noise Filter
5. Auto AB=CD 1 to 1 Ratio Experimental
TREND LINES B/O By Vintage Trader_ The Analytical skillsThis indicator is based on trend lines breakout setup
Smart money conceptThe indicator tracks the smallest movements of price action. It can monitor and analyze market context, attempting to identify trends within each time frame.
If a candle has its entire body above the previous swing high, it indicates a strong upward momentum. The market is leaning towards an upward direction. If the candle remains within the range of the previous swing high, it signifies weak upward momentum. The market is reluctant to move higher.
If a candle has its entire body below the previous swing low, it reflects a strong downward momentum. The market is leaning towards a downward direction. If the candle remains within the range of the previous swing low, it indicates weak downward momentum. The market is reluctant to move lower.
Hosoda Waves ABCDEThe Hosoda Waves indicator was devised by Goichi Hosoda, who is also the creator of the Ichimoku system, with the idea that previous highs and lows could determine future price ranges that the market would react to.
Hosoda's projections are the NT, N, V, and E waves, which are derived from calculations based on both upward and downward ABC swings.
Hosoda's waves are derived from the following calculations:
NT Wave = C + (C - A)
N Wave = B + (B - A)
V Wave = B + (B - C)
E Wave = C + (B - A)
There are already scripts for the Hosoda waves, and my idea is to project an ABCDE swing simultaneously, meaning projecting three swings:
ABC, indicated with an A, resulting in NT-A, N-A, V-A, E-A.
BCD, indicated with a B, resulting in NT-B, N-B, V-B, E-B.
CDE, indicated with a C, resulting in NT-C, N-C, V-C, E-C.
Once the indicator is applied to the chart, the interactive Pine Script tool version 5 will prompt you to identify 5 points of "low-high-low-high-low" or "high-low-high-low-high," both for upward and downward movements and mixed.
Once clicked, these price points can be moved. If you change the time frame or market instrument, the indicator must be removed because it remains tied to the prices where it was initially drawn.
