PpSignal Weis Volume & Volume in Bar V2.20This is an Advanced Weis Wave indicator which is based on Richard D. Wyckoff theory. It works in all time periods, range bar and tick bar charts and it can be applied to any market. The new Autowaves feature eliminates changing the parameters when switching time frames.
This indicator is adding the volumes of the corresponding price waves and draws a cumulative histogram. Each price wave is moving in a specific direction up or down until it reverses. In order for the indicator wave to reverse in the opposite direction, the price should exceed the number of points (pips*10) set in the indicator parameters. Therefore, the last wave repaints but the theory behind this trading method is forecasting where the market will go by reading mainly the previous waves.
The volume of the wave together with pip distance that the price has covered and the number of bars are displayed at the end of this wave. Speed Index is a new function noting the speed of the wave and can be displayed on the chart (the smaller this number is the faster the wave is and the larger this number is the slower the wave is)
Furthermore, an Alert (popup, email, push, sound) can be setup if the cumulative volume of the current wave exceeds a certain number specified in the parameters. An Alert can also be setup if Speed Index exceeds a specific value and/or is below a specific value.
Buy when the Weiss is aqua and sell when the Weiss is orange
Cerca negli script per "wave"
Weis pip zigzag jayyWhat you see here is the Weis pip zigzag wave plotted directly on the price chart. This script is the companion to the Weis pip wave ( ) which is plotted in the lower panel of the displayed chart and can be used as an alternate way of plotting the same results. The Weis pip zigzag wave shows how far in terms of price a Weis wave has traveled through the duration of a Weis wave. The Weis pip zigzag wave is used in combination with the Weis cumulative volume wave. The two waves must be set to the same "wave size".
To use this script you must set the wave size. Using the traditional Weis method simply enter the desired wave size in the box "Select Weis Wave Size" In this example, it is set to 5. Each wave for each security and each timeframe requires its own wave size. Although not the traditional method a more automatic way to set wave size would be to use ATR. This is not the true Weis method but it does give you similar waves and, importantly, without the hassle described above. Once the Weis wave size is set then the pip wave will be shown.
I have put a pip zigzag of a 5 point Weis wave on the bar chart - that is a different script. I have added it to allow your eye to see what a Weis wave looks like. You will notice that the wave is not in straight lines connecting wave tops to bottoms this is a function of the limitations of Pinescript version 1. This script would need to be in version 4 to allow straight lines. There are too many calculations within this script to allow conversion to Pinescript version 4 or even Version 3. I am in the process of rewriting this script to reduce the number of calculations and streamline the algorithm.
The numbers plotted on the chart are calculated to be relative numbers. The script is limited to showing only three numbers vertically. Only the highest three values of a number are shown. For example, if the highest recent pip value is 12,345 only the first 3 numerals would be displayed ie 123. But suppose there is a recent value of 691. It would not be helpful to display 691 if the other wave size is shown as 123. To give the appropriate relative value the script will show a value of 7 instead of 691. This informs you of the relative magnitude of the values. This is done automatically within the script. There is likely no need to manually override the automatically calculated value. I will create a video that demonstrates the manual override method.
What is a Weis wave? David Weis has been recognized as a Wyckoff method analyst he has written two books one of which, Trades About to Happen, describes the evolution of the now popular Weis wave. The method employed by Weis is to identify waves of price action and to compare the strength of the waves on characteristics of wave strength. Chief among the characteristics of strength is the cumulative volume of the wave. There are other markers that Weis uses as well for example how the actual price difference between the start of the Weis wave from start to finish. Weis also uses time, particularly when using a Renko chart. Weis specifically uses candle or bar closes to define all wave action ie a line chart.
David Weis did a futures io video which is a popular source of information about his method.
This is the identical script with the identical settings but without the offending links. If you want to see the pip Weis method in practice then search Weis pip wave. If you want to see Weis chart in pdf then message me and I will give a link or the Weis pdf. Why would you want to see the Weis chart for May 27, 2020? Merely to confirm the veracity of my algorithm. You could compare my Weis chart here () from the same period to the David Weis chart from May 27. Both waves are for the ES!1 4 hour chart and both for a wave size of 5.
qEMA 3 LineMy scenario consists of 3 ema lines which are ema 34, ema89, ema 144.
3 ema lines are important in elliott waves:
- A complete elliott wave of 144 waves
- An eliott wave has 89 waves
- In wave with wave, in wave 89 again wave 34 waves
I used to find the waves in elliott, know where the cycle elliott will end up (when the price hit ema144)
[Tradevietstock] Market Cycle Detector_Quantum Flux Best technical indicator to detect market cycles - Quantum Flux
Hello folks, it's Tradevietstock again! Today, I will introduce you to Quantum Flux Indicator, which can help you identify market cycle and find your best entry/exit effectively.
i. Overview
1. What is Market Cycle Detector_Quantum Flux?
The Quantum Flux Indicator is developed specifically to analyze and detect market cycles across a variety of asset classes. Whether you trade stocks, crypto, forex, or commodities, this indicator provides a consistent framework to track trends and time your positions.
2. Supported Markets:
Stock Market
Crypto Market
Commodities
Forex
You can apply the same cycle-based strategy across all these markets using QFI.
Depending on the platform you're using, here’s how you can start using Quantum Flux:
TradingView Users:
Once your invite is approved, the indicator will be added to your TradingView account. You can access it directly through the Indicators tab.
MT5 / Amibroker Users:
After your payment is completed, we will send you the QFI script. You can then import it manually into your MT5 or Amibroker trading platform.
ii. Setting Up the Indicator
1. Choose Your Setup
There are two ways to configure the Quantum Flux - The best indicator to detect market cycles
Default Setup (Recommended)
This includes both the Quantum Aroon and some of the Premium MACD signals. This full setup is ideal for traders who want a complete view of the market cycle with detailed signals. You just need to turn off the Premium MACD_Components as the image below
MACD-Only Setup
In this mode, the Quantum Aroon module is disabled. The indicator will rely solely on the Premium MACD Setting to generate signals. While this option is available, we recommend using the full setup for the most accurate performance.
2. Recognize the Market Cycle Phases
According to Tradevietstock’s theory , every trading asset typically moves through four distinct phases in a complete cycle:
Bearish Phase - Bear Market
First Bullish Wave - The Recovery
Strong Correction Phase
Final Bullish Wave
Quantum Flux generates visual and data-driven signals to help you time your trades accurately.
Green Dots: MACD crossover → Potential buy signal
Red Dots: MACD crossunder → Potential sell signal
Quantum Aroon Crossover: Confirms bullish trend or Buy Signals
Quantum Aroon Crossunder: Confirms bearish trend or Exit Signals
Green background: Extreme Bullish Phase
Red background: Extreme Bearish Phase
The Extreme Bullish/Bearish Phase is a unique feature of our system that enhances trading signals by capturing moments when the market moves aggressively—either in a strong uptrend or downtrend. This phase often represents the peak of Greed in bullish markets and Fear in bearish ones, offering a way to gauge market sentiment visually. The intensity of the background color helps interpret this: a bolder green indicates a more extreme bull market, while a deeper red signals an extreme bear market.
It's important to note that the Extreme Bullish/Bearish Phases are not direct entry or exit signals. Instead, they serve as enhancement signals that help traders make more informed decisions. These phases provide insight into whether it's wise to wait for additional confirmation before entering a trade, or to hold existing positions longer until clearer exit signals—like red dots or crosses—appear. By identifying the market's most intense emotional points, these signals help traders better align with momentum rather than react prematurely.
=> In summary, the Extreme Bullish/Bearish Phase provides valuable insight into market sentiment by highlighting emotional extremes, helping traders navigate aggressive trends with greater confidence. However, like all features in the indicator, its purpose is to complement, not replace, the core entry and exit signals—which are still based on crosses and dots. As always, green indicates bullish conditions, and red indicates bearish, but sentiment alone doesn't drive the trades—signals do.
3. The logic of the indicator and its trading strategy
Many traders are familiar with Wyckoff's theory, which, while foundational, can feel outdated and inefficient for real-life trading in today's fast-paced markets. It takes time to apply and may not be the most practical approach. That’s why many turn to day trading, but without the right tools and strategy, it can lead to account blow-ups.
The traditional market cycle consists of four stages: accumulation, markup, distribution, and markdown. While this is accurate, it's not always sufficient for modern trading. We need something more practical.
According to Tradevietstock's theory, the market cycle can be broken into four stages: a bear market, recovery, correction wave, and a bull market (the strongest uptrend). This new approach offers a shorter and more efficient timeline compared to Wyckoff's or other older cycle theories, making it a safer and more practical alternative to intraday trading.
To trade with market cycles, you need to remember these four stages:
Bearish Phase - Bear Market
First Bullish Wave - The Recovery
Strong Correction Phase
Final Bullish Wave
The logic for BUY/SELL (Entry/Exit) signals is built on a combination of crossover and crossunder events from the Quantum Aroon and Premium MACD indicators. Our Quantum Aroon is an enhanced version that applies a custom zero-lag smoothing function, making its trend signals more responsive and accurate than the traditional Aroon. It also includes a signal line for crossover alerts, along with visual enhancements like color-coded backgrounds, arrows, and gradient fills to highlight different market phases. Integrated with normalized MACD and RSI, it helps confirm signals and identify overbought or oversold conditions. Most importantly, it's aligned with Tradevietstock’s 4-phase market cycle—Bear Market, Recovery, Correction, and Bull Market—making it especially practical for real-world trading.
The Premium MACD differs from the standard version by introducing several key improvements. It normalizes the MACD line, signal line, and histogram for consistent interpretation across assets and timeframes, improving visual clarity. It also supports multi-timeframe analysis, allowing users to choose between the current chart resolution or a custom timeframe. The indicator includes color-coded histogram bars to show momentum changes and uses large dynamic circles to highlight crossover points.
=> These enhancements improve signal accuracy and make trend reversals easier to spot. Paired with the Quantum Aroon, it serves as a powerful confirmation tool within the Tradevietstock cycle framework.
4. Get to practice
In the example of NVDA, you can observe all four phases in action. For medium- to long-term traders, Phase 2 and Phase 4 usually present the strongest buying opportunities. Phase 1 and Phase 3 are accumulation phases — where prices are lower and preparations are made for the next bullish leg.
We can examine the following example to better understand Phase 1: The Bear Market . This phase only begins after a prior uptrend in the stock price . It’s crucial to remember that Phase 1 is not the start of the overall trend—it marks the reversal following a bullish run.
For instance, take the LMT stock: after a 50% rise, Quantum Flux displays a green background, indicating an 'Extreme Bullish Phase.' Once this bullish phase concludes, it sets the stage for a valid Phase 1—the beginning of the Bear Market.
The stock price declines sharply, triggering Quantum Flux to display a red background as the Aroon line crosses below the signal line.
Phase 1 concludes when we observe multiple crossover signals—most notably when the Aroon line crosses above the Signal line—and the red background, which signifies the Extreme Bearish Phase, disappears. Let's take a look at the image below:
Let’s move on to Phase 2: The Recovery. This phase follows the Bear Market—Phase 1. After a significant decline in the stock price, a recovery or pullback is expected.
Our signals for this phase include green dots and crosses, along with the confirmation signals that mark the end of Phase 1. This combination provides valid Buy signals and presents opportunities for mid-term investment strategies.
Phase 3 is a correction wave after the recovery . We also incorporate the cross and dot signals during this phase. In Phase 2, the strategy involves preparing to sell or take profits once the recovery phase matures. Whenever red dots or red crosses appear, they serve as indicators to consider taking profits, signaling the potential end of the upward move.
In Phase 3, known as the correction wave, the key objective is to take profits before the price begins to decline. This phase represents a temporary pullback following the recovery. Importantly, the end of Phase 3 often presents a strong buying opportunity—just before the onset of Phase 4, which is the strongest bullish wave. Whenever green dots and crosses appear at this stage, they serve as clear Buy signals, allowing us to position early for the upcoming bullish momentum.
Phase 4 is the strongest bullish wave—one that investors definitely don’t want to miss. Having entered at the end of Phase 3, the goal in Phase 4 is to maximize gains by targeting the highest highs.
During this phase, we closely monitor our exit signals, which include the appearance of red dots and red crosses, as well as the disappearance of the Extreme Bullish Phase indicator (green background). These signals help us lock in profits at the peak of the bullish momentum.
iii. Brief Conclusion on the Signals
End of Phase 1:
As Phase 1 nears completion, green dots start to appear. These serve as early entry signals, offering an opportunity to buy at lower prices before the trend reversal begins.
Phase 2 – Recovery:
Momentum begins to build during this phase. As it approaches its peak, red dots and Aroon line crossunders emerge—signaling that it's time to exit or reduce exposure in anticipation of a correction.
Phase 3 – Correction:
The indicator typically shows a red background, reflecting a bearish environment. This is a waiting phase—traders should remain cautious and avoid entering until green signals reappear.
Phase 4 – Strong Bullish Wave:
With the return of bullish signals (green dots, crosses, and green background), Phase 4 begins. After entering, the position is held to ride the strong momentum. Profit-taking signals include the appearance of red dots, red crosses, and the disappearance of the green background.
iv. Optimal Use by Market Type
Here’s how we suggest using QFI depending on what you trade:
Stocks: Best used on the Daily or Weekly chart for swing trades.
Cryptocurrency: Works well on BTC, ETH, or major altcoins using Daily and Weekly charts. Great for catching larger trend reversals.
CFDs and Forex: QFI is built for higher timeframes (H4, D1, W1), where it produces cleaner and more reliable signals.
Best Ways to Use It
🟢 Stocks
Works well on Weekly and Daily charts for swing entries
🟡 Crypto
Works best on Weekly and Daily charts
Good for trend-catching on BTC, ETH, or altcoins
🔴 CFDs
Designed with precision in mind — works on bigger timeframes, like H4, D1, and W1
The Quantum Flux Indicator is a flexible and powerful tool for anyone looking to navigate the full market cycle — from bottom to top and back again. With its ability to highlight key phases and generate timely signals, it becomes easier to plan your entries, hold through trends, and exit with confidence.
If you're serious about understanding market structure and improving your timing, Quantum Flux, the best Indicator to detect market cycles, can become a central part of your strategy — no matter what market you're in.
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy
Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes.
🌊 Finding the Perfect Wave (Entry)
Our journey begins with two simple signs that tell us a great trading opportunity is forming:
- Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!"
- RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward.
When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave.
⚓ Safely Riding the Wave (Risk Management)
While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are:
- Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses.
- Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point.
🌟 Multiple Rides, Bigger Adventures
This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big.
🗺️ Easy to Follow Settings
Here are the basic settings we use:
- Fast EMA**: 16
- Slow EMA**: 30
- RSI Length**: 9
- RSI Threshold**: 50
- ATR Length**: 21
- ATR Stop-Loss Multiplier**: 8
- ATR Take-Profit Multiplier**: 11
These settings are flexible—you can adjust them to better suit different markets or your personal trading style.
🎉 Riding the Waves of Success
This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses.
Happy trading, and may you find many profitable waves to ride! 🌊✨
Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
Sentient FLDOverview of the FLD
The Future Line of Demarcation (FLD) was first proposed by JM Hurst in the 1970s as a cycle analysis tool. It is a smoothed median price plotted on a time-based chart, and displaced into the future (to the right on the chart). The amount of displacement is determined by performing a cycle analysis, the line then plotted to extend beyond the right hand edge of the chart by half a cycle wavelength.
Interactions between price and the FLD
As price action unfolds, price interacts with the FLD line, either by crossing over the line, or by finding support or resistance at the line.
Targets
When price crosses an FLD a target for the price move is generated. The target consists of a price level and also expected time.
When price reaches that target it is an indication that the cycle influencing price to move up or down has completed that action and is about to turn around.
If price fails to reach a target by the expected time, it indicates bullish or bearish pressure from longer cycles, and a change in mood of the market.
Sequence of interactions
Price interacts with the FLD in a regular sequence of 8 interactions which are labelled using the letters A - H, in alphabetical order. This sequence of interactions occurs between price and a cycle called the Signal cycle. The full sequence plays out over a single wave of a longer cycle, called the Sequence cycle. The interactions are:
A category interaction is where price crosses above the FLD as it rises out of a trough of the Sequence cycle.
B & C category interactions often occur together as a pair, where price comes back to the FLD line and finds support at the level of the FLD as the first trough of the Signal cycle forms.
D category interaction is where price crosses below the FLD as it falls towards the second trough of the Signal cycle.
E category interaction is where price crosses above the FLD again as it rises out of the second trough of the Signal cycle.
F category interaction is where price crosses below the FLD as it falls towards the next trough of the Sequence cycle.
G & H category interactions often occur together as a pair, where price comes back to the FLD line and finds resistance at the level of the FLD before a final move down into the next Sequence cycle trough.
Trading Opportunities
This sequence of interactions provides the trader with trading opportunities:
A and E category interactions involve price crossing over the FLD line, for a long trading opportunity.
D and F category interactions involve price crossing below the FLD line, for a short trading opportunity.
B and C category interactions occur where price finds support at the FLD, another long trading opportunity.
G and H category interactions occur where price finds resistance at the FLD, another short trading opportunity.
3 FLD Lines Plotted
The Sentient FLD indicator plots three FLD lines, for three primary cycles on your time-based charts:
The Signal cycle (pink color, can be changed in the settings), which is used to generate trading signals on the basis of the sequence of interactions between price and the FLD
The Mid cycle (orange color, can be changed in the settings), which is used for confirmation of the signals from the signal cycle FLD.
The Sequence cycle (green color, can be changed in the settings) which is the cycle over which the entire A - H sequence of interactions plays out.
Cycle Analysis
In addition to plotting the three FLD lines, the Sentient FLD indicator performs a cycle phasing analysis and identifies the positions of the troughs of five cycles on your chart (The Signal, Mid & Sequence cycles and two longer cycles for determining the underlying trend).
The results of this analysis are plotted by using diamond symbols to mark the timing of past troughs of the cycles, and circles to mark the timing of the next expected troughs, with lines extending to each side to represent the range of time in which the trough is expected to form. These are called circles-and-whiskers. The diamonds are stacked vertically because the troughs are synchronized in time. The circles-and-whiskers therefore are also stacked, creating a nest-of-lows which is a high probability period for a trough to form.
Identifying the Interactions
The Sentient FLD also identifies the interactions between price and each one of the three FLDs plotted on your chart, and those interactions are labelled so that you can keep track of the unfolding A - H sequence.
Next Expected Interaction
Because the Sentient FLD is able to identify the sequence of interactions, it is also able to identify the next expected interaction between price and the FLD. This enables you to anticipate levels of support or resistance, or acceleration levels where price is expected to cross through the FLD.
Cycle Table
A cycle table is displayed on the chart (position can be changed in settings). The cycle table comprises 6 columns:
The Cycle Name (CYCLE): the name of the cycle which is its nominal wavelength in words.
The Nominal Wavelength (NM): The nominal wavelength of the cycle measured in bars.
The Current Wavelength (CR): The current recent wavelength of the cycle measured in bars.
The Variation (VAR): The variation between the nominal wavelength and current wavelength as a percentage (%).
The relevant Sequence Cycle (SEQ): The cycle over which the sequence of interactions with this FLD plays out.
The Mode (MODE): Whether the cycle is currently Bearish, Neutral or Bullish.
Benefits of using the Sentient FLD
The cycle analysis shown with diamonds and circles marking the troughs, and next expected troughs of the cycles enable you to anticipate the timing of market turns (troughs and peaks in the price), because of the fact that cycles, by definition, repeat with some regularity.
The results of the cycle analysis are also displayed on your chart in a table, and enable you to understand at a glance what the current mode of each cycle is, whether bullish, bearish or neutral.
The identification of the sequence of interactions between price and the FLD enables you to anticipate the next interaction, and thereby expect either a price cross of the FLD or dynamic levels of support and resistance at the levels of the FLD lines, only visible to the FLD trader.
When the next expected interaction between price and the FLD is an acceleration point (price is expected to cross over the FLD), that level can be used as a signal for entry into a trade.
Similarly when the next expected interaction between price and the FLD is either support or resistance, that level can be used as a signal for entry into a trade when price reacts as expected, finding support or resistance.
The targets that are generated as a result of price crossing the FLD represent cycle exhaustion levels and times, and can be used as take profit exits, or as levels after which stops should be tightened.
The indicator optionally also calculates targets for longer timeframes, and displays them on your chart providing useful context for the influence of longer cycles without needing to change timeframe.
Example
In this image you can see an example of the different aspects of the indicator working on a 5 minute chart (details below):
This is what the indicator shows:
The 3 FLD lines are for the 100 minute (pink), 3 hour (orange) and 6 hour (green) cycles (refer to the cycle table for the cycle names).
Previous targets can be seen, shown as pointed labels, with the same colors.
The cycle table at the bottom left of the chart is colour coded, and indicates that the cycles are all currently running a bit long, by about 14%.
Note also the grey-colored 6 hour target generated by the 15 x minute timeframe at 12:20. When targets are close together their accuracy is enhanced.
At the foot of the chart we can see a collection of circles-and-whiskers in a nest-of-lows, indicating that a 12 hour cycle trough has been due to form in the past hour.
The past interactions between price and the signal cycle are labelled and we can see the sequence of E (with some +E post-interaction taps), F and then G-H.
The next interaction between price and the signal is the A category interaction - a long trading opportunity as price bounces out of the 12 hour cycle trough.
Notice the green upward pointing triangles on the FLD lines, indicating that they are expected to provide acceleration points, where price will cross over the FLD and move towards a target above the FLD.
The cycle table shows that the cycles of 6 hours and longer are all expected to be bullish (with the 12 hour cycle neutral to bullish).
On the basis that we are expecting a 12 hour trough to form, and the 6 hour cycle targets have been reached, and the next interaction with the signal cycle is an A category acceleration point, we can plan to enter into a long trade.
Two hours later
This screenshot shows the situation almost 2 hours later:
Notes:
The expected 12 hour cycle trough has been confirmed in the cycle analysis, and now displayed as a stack of diamonds at 12:25
Price did cross over the signal cycle FLD (the 100 minute cycle, pink FLD line) as expected. That price cross is labelled as an A category interaction at 13:00.
A 100 minute target was generated. That target was almost, but not quite reached in terms of price, indicating that the move out of the 12 hour cycle trough is not quite as bullish as would be expected (remember the 12 hour cycle is expected to be neutral-bullish). The time element of the target proved accurate however with a peak forming at the expected time. Stops could have been tightened at that time.
Notice that price then came back to the signal FLD (100 minute) line at the time that the next 100 minute cycle trough was expected (see the pink circle-and-whiskers between 13:40 and 14:25, with the circle at 14:05.
Price found support (as was expected) when it touched the signal FLD at 13:55 and 14:00, and that interaction has been labelled as a B-C category interaction pair.
We also have a 3 hour target above us at about 6,005. That could be a good target for the move.
Another 2 hours later
This screenshot shows the situation another 2 hours later:
Notes:
We can see that the 100 minute cycle trough has been confirmed at 13:45
The nest-of-lows marking the time the 3 hour cycle trough was expected is between 15:00 and 15:45, with a probable trough in price at 15:00
The sequence of interactions is labelled: A at 13:00; B-C at 14:00; another B-C (double B-C interactions are common) at 14:30; E at 15:10; +E (a post E tap) at 16:20
Price has just reached a cluster of targets at 6005 - 6006. The 3 hour target we noted before, as well as a 6 hour target and a 12 hour target from the 15 x minute timeframe.
Notice how after those targets were achieved, price has exhausted its upward move, and has turned down.
The next expected interaction with the signal cycle FLD is an F category interaction. The downward pointing red triangles on the line indicate that the interaction is expected to be a price cross down, as price moves down into the next 6 hour cycle trough.
Other Details
The Sentient FLD indicator works on all time-based charts from 10 seconds up to monthly.
The indicator works on all actively traded instruments, including forex, stocks, indices, commodities, metals and crypto.
Momentum Concepts [AlgoAlpha]🚀 Introducing the Momentum Concepts™ , a robust multi-layered momentum analysis tool developed by AlgoAlpha . This All-in-One indicator offers a comprehensive approach to understanding market momentum, empowering traders with hyper customizable features to tailor their analysis to their specific trading strategies.
Designed with efficiency and compactness in mind, the script shows momentum regimes on three time horizons: The short-term ( Fast Oscillator ), medium-term ( Scalper's Momentum ) and long-term ( Momentum Impulse Oscillator and Hidden Liquidity Flow ). Additionally, the script also includes reversal signals for traders who prefer to trade contrarian/mean-reversion strategies. By utilizing a blend of advanced algorithms and customizable parameters, Momentum Concepts™ provides traders with a vast array of trading strategies ranging from high frequency scalping to timing better entries on long-term swing and investing positions.
Let's delve into the key features and functionalities of this versatile indicator:
🎯Key Features (summary):
Customizable Fast Oscillator: Tailor the fast oscillator to your preferences with adjustable settings for type, source, trend identification(signal processing) method, length, and more.
Divergence Detection: Identify potential trend reversals with ease using built-in divergence detection for both bullish and bearish signals.
Momentum Impulse Oscillator: Gain deeper insights into trending/ranging markets and underlying market bias with a dedicated oscillator, featuring adjustable trend impulse thresholds.
Scalper's Momentum: Utilize a specialized momentum indicator designed for scalping strategies, featuring agility in signal detection with noise reduction and customizable smoothing parameters.
Hidden Liquidity Flow Analysis: Assess hidden liquidity flows within the market, highlighting excess liquidity and potential squeeze situations.
Trend Confluence Indicator: Evaluate the overall momentum direction with dynamically colored zones, aggregating signals from Momentum Concepts™ components for a holistic view.
User-Friendly Interface: The indicator is presented in a clear and intuitive manner, making it accessible for traders of all experience levels.
All-Rounded Alerts: The indicator comes with a comprehensive alerts extension in a separate script, allowing you to stay informed of important market movements even when away from your trading platform.
🎯Key Features (in-depth):
The Fast Oscillator within Momentum Concepts™ comprises four components designed to provide insights into short-term momentum dynamics:
🔱Price Volume Swings :
This confirmation component uses our proprietary Price Volume Algorithm to analyze price action and volume to identify buying and selling pressure, aiding traders in spotting short-term swings for potential trading opportunities.
⚜️Price Volume Waves :
This leading component also uses our proprietary Price Volume Algorithm but differs from the Price Volume Swings by capturing dominant wave patterns instead. This indicator breaks down price and volume data into a wave-like plot which enables leading insights into market momentum due to the relatively predicable nature of sine-like waves. Leading components such as this and the Alpha Wave are best used with other confirmation components within the Momentum Concepts™ .
🌊Alpha Wave :
The Alpha Wave is a leading non-volume alternative to the Price Volume Waves . It reflects market momentum by analyzing price action only instead of using volume data, resulting in a normalized wave-like plot similar to that of the Price Volume Waves , offering a leading perspective on potential market momentum shifts. Leading components such as this and the Price Volume Waves are best used with other confirmation components within the Momentum Concepts™ .
🐲Dragon RSI :
The Dragon RSI is a confirmation component that determines market momentum by analyzing the directional movement of the Relative Strength Index (RSI). By doing so, users are able to visually identify the current short term trend of the market as well as identify overbought and oversold conditions.
Reversal Signals :
All the Fast Oscillator components come with reversal signals that are based on the respective components being either oversold or overbought.
Divergences :
All the Fast Oscillator components come with bullish and bearish divergences. Divergences within the Fast Oscillator components of Momentum Concepts ™ offer crucial signals for trend shifts. 🔱 Price Volume Swings and ⚜️ Price Volume Waves detect weakening buying or selling pressure, signalling potential reversals or continuations. 🌊 Alpha Wave and 🐲 Dragon RSI identify divergences between momentum and price, aiding traders in anticipating market movements. Leveraging these divergences enhances analysis, aiding traders in formulating meaningful analysis.
Customizable Signal Processing Methods :
All the Fast Oscillator components come with customizable signal processing methods to identify trends on the Fast Oscillator , they include (but not limited to) methods such as Heiken Ashi, and a vast selection of Moving Averages.
Diminishing Momentum Warning :
All the Fast Oscillator components come with a diminishing momentum warning that represents a reducing momentum on the Fast Oscillator . This can act as a take profit signal or as a precautionary warning that the price is about to change direction soon even though the Fast Oscillator has not detected it yet.
Dynamically Colored Reversal Zones :
Last but not least, the dynamic coloring of the reversal zones for Fast Oscillator can be customised based on either the reversal probability of the Fast Oscillator or based on the overall trend confluence of all the components within the Momentum Concepts™ indicator.
The Momentum Impulse Oscillator in Momentum Concepts™ offers crucial insights into long-term momentum trends, aiding traders in identifying the underlying momentum regime and differentiating between trending and consolidating markets.
Underlying Momentum Bias
By default, the Momentum Impulse Oscillator is set to show the longer term trend of price action, this can be used to set the directional bias for the markets and prevent users from trading against the trend.
Trending/Ranging Detection
The Momentum Impulse Oscillator comes with the option to enable trending thresholds, when the Momentum Impulse Oscillator is beyond these thresholds, it indicates a trending market, when Momentum Impulse Oscillator is within the thresholds, it indicates a consolidating/ranging market.
The Scalper's Momentum within Momentum Concepts™ furnishes traders with nuanced signals ideal for short to medium-term trading strategies. It efficiently displays both the medium-term momentum and any emerging divergences towards the opposing direction.
Medium-Term Momentum
The Scalper's Momentum is designed to fill the analysis gap between the Fast Oscillator and the Momentum Impulse Oscillator . Showing momentum insights over the medium-term.
Momentum Convergence-Divergence
The Scalper's Momentum is also capable of showing momentum convergences and divergences, which can be used as take-profit and/or confirmation signals to other components within Momentum Concepts™ .
The Hidden Liquidity Flow component of Momentum Concepts™ is designed to uncover underlying liquidity dynamics. This feature enables traders to anticipate potential price movements based on changes in liquidity flow, enhancing their ability to make informed trading decisions.
Underlying Liquidity Dynamics
The Hidden Liquidity Flow shows the underlying liquidity flow of the market, a positive liquidity flow indicates that liquidity is entering the market and increasing the probability of bullish price action, the opposite is true for negative liquidity flows.
Excess Liquidity Flow
The Hidden Liquidity Flow also indicates when there is an abnormal amount of liquidity flowing through the market, this can indicate the potential for volatility and explosive price action.
🎯Usage Examples:
Now that we have gone through the components and features of Momentum Concepts™ in detail, we'll walk you through the usage examples and strategies that you can utilise to navigate the markets.
Scalping
Using the Scalper's Momentum and the Fast Oscillator as an example, users can first use the Scalper's Momentum as a directional bias and the Fast Oscillator as a means of timing a more precise entry. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals or the Scalper's Momentum flipping signals.
Buying the Dip/Shorting the Pump
Using the Momentum Impulse Oscillator and the Fast Oscillator as an example, users will need to first determine the underlying trend with the Momentum Impulse Oscillator , after which they can use the Fast Oscillator for entry signals into the trend. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals
Reversal Trading
Using the Momentum Impulse Oscillator on a timeframe roughly 3-4 times greater than the chart's timeframe and the Fast Oscillator as an example, users will need to first ensure that the Momentum Impulse Oscillator signals a ranging market on a higher timeframe, divergence signals from the Fast Oscillator can then be used as entries. Take profits can be based on either the Diminishing Momentum Warnings or the Fast Oscillator flipping signals or the Fast Oscillator reaching the zero line.
(These are just examples for reference, the Momentum Concepts™ offers significantly more possibilities for customisation and fine tuning of your trading strategy.)
🎯Conclusion:
In conclusion, Momentum Concepts™ stands as a versatile and powerful tool for traders seeking to decode the intricacies of market momentum across multiple time horizons. With its comprehensive suite of customizable features, including the Fast Oscillator , Scalper's Momentum , Momentum Impulse Oscillator , and Hidden Liquidity Flow , traders can gain deep insights into market dynamics and make well-informed trading decisions. Whether executing high-frequency scalping strategies or timing entries for longer-term positions, Momentum Concepts™ equips traders with the tools they need to navigate diverse market conditions with confidence. By harnessing the power of momentum analysis, this indicator empowers traders to stay ahead of the curve and capitalize on emerging opportunities in the ever-evolving financial markets.
Multi-Timeframe Recursive Zigzag [Trendoscope®]🎲 Welcome to the Advanced World of Zigzag Analysis
Embark on a journey through the most comprehensive and feature-rich Zigzag implementation you’ll ever encounter. Our Multi-Timeframe Recursive Zigzag Indicator is not just another tool; it's a groundbreaking advancement in technical analysis.
🎯 Key Features
Multi Time-Frame Support - One of the rare open-source Zigzag indicators with robust multi-timeframe capabilities, this feature sets our tool apart, enabling a broader and more dynamic market analysis.
Innovative Recursive Zigzag Algorithm - At its core is our unique Recursive Zigzag Algorithm, a pioneering development that powers multiple Zigzag levels, offering an intricate view of market movements. This proprietary algorithm is the backbone of our advanced pattern recognition indicators.
Sub-Waves and Micro-Waves Analysis - Dive deeper into market trends with our Sub-Waves and Micro-Waves feature. Sub-Waves reveal the interconnectedness of various Zigzag levels, while Micro-Waves offer insight into the fundamental waves at the base level.
Enhanced Indicator Tracking - Integrate and track your custom indicators or oscillators with the zigzag, capturing their values at each Zigzag level, complete with retracement ratios. This offers a comprehensive view of market dynamics.
Curved Zigzag Visualization - Experience a new way of visualizing market movements with our Curved Zigzag Display, employing Pine Script’s polyline feature for a more intuitive and visually appealing representation.
Built-in Customizable Alerts - Stay ahead with built-in alerts that can be customized via user input settings.
🎯 Practical Applications
Our Zigzag Indicator is designed with an understanding of its inherent nature - the last unconfirmed pivot that consistently repaints. This characteristic, while by design, directs its usage more towards pattern recognition rather than direct identification of market tops and bottoms. Here's how you can leverage the Zigzag Indicator:
Harmonic Patterns - Ideal for those familiar with harmonic patterns, this tool simplifies the manual spotting of complex XABCD, ABC, and ABCD patterns on charts.
Chart Patterns - Effortlessly identify patterns like Double/Triple Taps, Head and Shoulders, Inverse Head and Shoulders, and Cup and Handle patterns with enhanced clarity. Navigate through challenging patterns such as Triangles, Wedges, Flags, and Price Channels, where the Zigzag Indicator adds a layer of precision to your breakout strategy.
Elliott Wave Components - The indicator's detailed pivot highlighting aids in identifying key Elliott Wave components, enhancing your wave analysis and decision-making process.
🎲 Deep Dive into Indicator Features
Join us as we explore the intricate features of our indicator in more detail.
🎯 Multi-Timeframe Capability
Our indicator comes equipped with an input option for selecting the desired resolution. This unique feature allows users to view higher timeframe Zigzag patterns directly on their lower timeframe charts.
🎯 Recursive Multi Level Zigzag
Our advanced recursive approach creates multi-level Zigzags from lower-level data. For instance, the level 0 Zigzag forms the base, calculated from specified length and depth parameters, while level 1 Zigzag is derived using level 0 as its foundation, and so forth.
The indicator not only displays multiple Zigzag levels but also offers settings to emphasize specific levels for more detailed analysis.
🎯 Sub-Components and Micro-Components of Zigzag Wave
Sub-components within a Zigzag wave consist of the previous level's Zigzag pivots. Meanwhile, the micro-components are composed of the base level (Level 0) Zigzag pivots encapsulated within the wave.
🎯 Curved Zigzag
Experience a new perspective with our curved Zigzag display. This innovative feature utilizes the polyline curved option to automatically generate sinusoidal waves based on multiple points.
🎯 Indicator Tracking
Default indicators such as RSI, MFI, and OBV are included, alongside the ability to track one external indicator at each Zigzag pivot.
🎯 Customizable Alerts
Our indicator employs the `alert()` function for alert creation. While this means the absence of a customization text box in the alert settings, we've included a custom text area for users to create their own alert templates.
Template placeholders include:
{alertType} - type of alert. Either Confirmed Pivot Update or Last Pivot Update. Depends on the alert type selected in the inputs.
When Last Pivot Update type is selected, the alerts are triggered whenever there is a new Zigzag Pivot. This may also be a repaint of last unconfirmed pivot.
When Confirmed Pivot Update type is selected, the alerts are triggered only when a pivot becomes a confirmed pivot.
{level} - Zigzag level on which the alert is triggered.
{pivot} - Details of the last pivot or confirmed pivot including price, ratio, indicator values and ratios, subcomponent and micro-component pivots.
🎲 User Settings Overview
🎯 Zigzag and Generic Settings
This involves some generic zigzag calculation settings such as length, depth, and timeframe. And few display options such as theme, Highlight Level and Curved Zigzag. By default, zigzag calculation is done based on the latest real time bar. An option is provided to disable this and use only confirmed bars for the calculation.
Indicator Settings
Allows users to track one or more oscillators or volume indicators. Option to add any indicator via external input is provided.
🎯 Alert Settings
Has input fields required to select and customize alerts.
Oscillator Toolkit (Expo)█ Overview
The Oscillators Toolkit stands at the forefront of technical trading tools, offering a comprehensive suite of sophisticated, adaptive, and unique oscillators. This toolkit has been thoughtfully designed to cater to all trading styles, ensuring versatility and utility for every trader. The toolkit features our flagship oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and Bellcurves. Furthermore, it offers many great features such as trend recognition, market impulses, and trend changes; all consolidated into a single, easy-to-use indicator.
Access to these high-quality oscillators and tools can elevate your trading strategy, providing you with insightful market analysis and potential trading opportunities. In addition, these tools help traders and investors to identify and interpret various market trends, momentum, and volatility patterns more efficiently.
The Oscillator toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features:
█ Oscillators
WaveTrend Momentum
The WaveTrend Momentum oscillator is a significant component of the toolkit. It factors in both the direction and the momentum of market trends. The waves within this system are both quick and responsive, operating independently to offer the most pertinent insights at the most opportune moments. Their rapid response time ensures that traders receive timely information, which is essential in the fast-paced, dynamic world of trading.
Example of how to use the WaveTrend Momentum Oscialltor
The WaveTrend Momentum is proficient at identifying trend reversals and pullbacks, allowing traders to enter or exit trades at optimal moments.
Leading RSI
The Leading Relative Strength Index (RSI) is a type of momentum oscillator that is commonly used in technical analysis to predict price movements. As the name suggests, it is an advanced form of the traditional Relative Strength Index (RSI), and it provides traders with more timely signals for market entries and exits.
The Leading RSI works on similar principles but is designed to provide signals ahead of the traditional RSI. This is achieved through more advanced mathematical modeling and calculations, which aim to identify shifts in market momentum before they happen. It takes into account not only the current price action but also considers historical data in a way that can foresee changes in trend directions.
Example of how to use the Leading RSI
The Leading RSI is an enhanced version of the traditional Relative Strength Index, offering more timely indications of divergences and overbought or oversold market conditions.
Momentum Oscillator
This oscillator measures the amount that a security's price has changed over a given time span. It is an excellent tool for understanding the strength of a trend and its potential endurance. When the momentum oscillator rises, it suggests that the price is moving upwards and vice versa.
The Momentum Oscillator is an advanced technical analysis tool that helps traders identify the rate of change or the momentum of the market. It is typically used to determine the strength or speed at which the price of an asset increases or decreases for a set of returns. This oscillator is considered 'fast-moving' and 'sensitive' because it responds quickly to changes in price momentum. The fast-moving nature of this oscillator helps traders to get early signals for potential market entry or exit points.
The Momentum Oscillator analyzes the current price compared to the previous price and adds two additional layers of analysis: 'Buy & Sell moves' and 'Extremes.'
Buy & Sell Moves: This layer of the oscillator helps identify the buying and selling pressure in the market. This can provide traders with valuable information about the possible direction of future price moves. When there is high buying pressure (demand), the price tends to rise, and when there is high selling pressure (supply), the price tends to fall.
Extremes: This layer helps to identify extreme overbought or oversold conditions. When the oscillator enters the overbought territory, it could indicate that the price is at a high and could potentially reverse. Conversely, if the oscillator enters the oversold territory, it could suggest that the price is at a low and could potentially rebound.
Example of how to use the Momentum Oscillator
The Momentum Oscillator is a sensitive and fast-moving oscillator that adapts quickly to price changes while keeping track of the long-term momentum, making it easier to spot buying or selling opportunities in trends.
Bellcurves
The Bellcurves indicator is a powerful tool for traders that uses statistical analysis to help identify potential market reversals and key support and resistance levels by leveraging the principles of statistical analysis to measure market impulses. The concept behind this tool is the normal distribution, also known as the bell curve, which is a fundamental statistical concept signifying that data tends to cluster around the average or mean value. The "impulses" in the market context refer to significant price movements driven by a high volume of trading activity. These are typically sharp and swift moves either upwards (bullish impulse) or downwards (bearish impulse). These impulses often signify a strong sentiment in the market and can result at the beginning of a new trend or the continuation of an existing one.
In effect, the Bellcurve indicator is designed to filter out minor price fluctuations or 'noise,' allowing traders to focus solely on significant market impulses. This makes it easier for traders to identify key market movements.
Example of how to use the Bellcurve
The Bellcurves uses the principles of statistical analysis to identify significant market impulses and potential market reversals.
█ Why is this Oscillator Toolkit Needed?
The Oscillator Toolkit is a vital asset for traders for several reasons:
Insight into Market Trends: The Oscillator Toolkit provides valuable insight into current market trends. This includes understanding whether the market is bullish (rising) or bearish (falling), as well as identifying potential future price movements.
Identification of Overbought or Oversold Conditions: Oscillators like those in the toolkit can help traders identify when an asset is overbought (potentially overvalued) or oversold (potentially undervalued). This can signal potential market reversals.
Confirmation of Price Patterns: The oscillators in the toolkit can confirm price patterns and trends. For example, if a price pattern suggests a bullish trend, an oscillator can help confirm this by showing rising momentum.
Versatility Across Markets and Timeframes: The Oscillator Toolkit is designed to work across a variety of markets, including stocks, forex, commodities, and cryptocurrencies. It's also effective across different timeframes, from short-term day trading to longer-term investment strategies.
Timely Trade Signals: By providing real-time insights into market conditions and price momentum, the Oscillator Toolkit offers timely signals for trade entries and exits.
Enhancing Trading Strategy: Every trader has a unique approach to the market. The Oscillator Toolkit, with its suite of different oscillators, provides a robust set of tools that can be customized to enhance any trading strategy, whether it's a trend following, swing trading, scalping, or any other approach.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ How are the Oscillators calculated? - Overview
The Toolkit combines many of our existing premium indicators and new technical analysis algorithms to analyze the market. This overview covers how the main features are calculated.
WaveTrend Momentum
The WaveTrend Momentum oscillator operates at its core by comparing the current price to previous prices. If the current price is higher than the previous price, the oscillator value will rise, indicating an uptrend. Conversely, if the current price is lower than the previous price, the oscillator value will fall, indicating a downtrend. To make it unique and useful normalized weighting functions are added.
Leading RSI
The Leading RSI is based on the traditional Relative Strength Index, with an added exploration function that takes into account historical price movements.
Momentum Oscillator
The Momentum oscillator measures how quickly the price is changing, on average, over a certain period, relative to the variability of the price over that same period. It gives higher values when the price is changing rapidly in one direction and lower values when the price is fluctuating or changing more slowly. In addition, other functions, such as market extremes and buying/selling pressure, are factored in.
Bellcurves
The Bellcurves assume that some common historical price data is normally distributed, and once these patterns or moves are found the in the price data, a Bellcurve is formed.
█ In conclusion , the Oscillator Toolkit is an advanced, versatile, and indispensable asset for traders across various markets and timeframes. This innovative collection includes different oscillators, including the WaveTrend Momentum, Leading RSI, Momentum Oscillator, and the Bellcurves Indicator, each serving a unique function in providing valuable insights into the market's behavior.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Market ReaderIntroducing a leading proprietary tool that integrates four distinct indicators, each redefined to eliminate noise and provide the most accurate signals. This tool is designed to leverage momentum for effective trading strategy development and decision-making.
Momentum Waves:
These waves highlight the short-term momentum in the market, offering insight into immediate market behavior. The strongest signals are observed from divergences between price and momentum waves and the 'Anchor-Trigger' strategy. The latter is characterized by a large momentum wave followed by progressively smaller waves, often signaling a potential shift in price trends.
Money Flow:
Authored by myself, this tailored indicator reflects the long-term trend by tracking whether money is flowing into or out of the asset. Observing the direction of the money flow and watching for crossovers can provide compelling signals for the initiation or culmination of a trend.
Dual RSI:
This tool incorporates two custom-adjusted RSIs to gauge the strength of the trend. When both RSIs align, it typically indicates a robust trend. When they diverge significantly, it suggests a weaker trend likely to revert to its mean soon.
Histogram:
histogram to identify 'momentum clips', bullish momentum with positive values and bearish momentum with negative values.
When all indicators align in one direction, the market price is highly likely to move in that direction. This makes the tool a leading indicator in predicting price movements.
Market Manipulation Detection:
This tool also incorporates an innovative algorithm that identifies sudden, significant changes in trading volume coinciding with price movements, indicating potential market manipulation. This feature helps traders exercise caution in volatile market conditions.
Oversold Crossover with Volume Confirmation (Yellow X and Downward Triangle):
These symbols are indicators of a potential top or bottom, but they are not standalone signals. They are most effective when used with divergence in the momentum waves as additional confirmation.
Blood Diamond: This is another significant feature in the tool. Blood Diamonds are major reversal signals that appear at market tops or bottoms, and they signal that a reversal in trend is likely.
Traders should avoid relying solely on one signal. Decisions should be based on a combination of several signals. Furthermore, different time frames should be examined for a broader market perspective. High time frames can identify the general trend, while lower time frames can offer precise entry points for trades.
While this tool provides various indications and insights, users are encouraged to use it as part of a broader, diversified trading strategy. Due to the unique combination of features and the proprietary nature of the algorithm, the source code is not publicly available.
This tool does not claim to guarantee profits but aims to provide traders with unique insights that can enhance their trading strategies.
GT 5.1 Strategy═════════════════════════════════════════════════════════════════════════
█ OVERVIEW
People often look an indicator in their technical analysis to enter a position. We may also need to look at the signals of one or more indicators to verify the signals given by some indicators. In this context, I developed a strategy to test whether it really works by choosing some of the indicators that capture trend changes with the same characteristics. Also, since the subject is to catch the trend change, I thought it would be right to include an indicator using the heikin ashi logic. By averaging and smoothing the market noise, Heiken Ashi makes it easier to detect the direction of the trend helps to see possible reversal points on the chart. However, it should be noted that Heiken Ashi is a lagging indicator.
I picked 5 different indicators (but their purpose are similar) and combined them to produce buy and sell signals based on your choice(not repaint). First of all let's get some information about our indicators. So you will understand me why i picked these indicators and what is the meaning of their signals.
1 — Coral Trend Indicator by LazyBear
Coral Trend Indicator is a linear combination of moving averages, all obtained by a triple or higher order exponential smoothing. The indicator comes with a trend indication which is based on the normalized slope of the plot. the usage of this indicator is simple. When the color of the line is green that means the market is in uptrend. But when the color is red that means the market is in downtrend.
As you see the original indicator it is simple to find is it in uptrend or downtrend.
So i added a code to find when the color of the line change. When it turns green to red my script giving sell signals, when it turns red to green it gives buy signals.
I hide the candles to show you more clearly what is happening when you choose only Coral Strategy. But sometimes it is not enough only using itself. Even if green dots turn to red it continues in uptrend. So we need a to look another indicator to approve our signal.
2 — SSL channel by ErwinBeckers
Known as the SSL , the Semaphore Signal Level channel is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. This indicator creates a band by calculating the high and low values according to the determined period. Simply if you decide 10 as period, it calculates a 10-period moving average on the latest 10 highs. Calculate a 10-period moving average on the latest 10 lows. If the price falls below the low band, the downtrend begins, if the price closes above the high band, the uptrend begins. Lets look the original form of indicator and learn how it using.
If the red line is below and the green band is above, it means that we are in uptrend, and if it is on the opposite side, it means that we are in downtrend. Therefore, it would be logical to enter a position where the trend has changed. So i added a code to find when the crossover has occured.
As you see in my strategy, it gives you signals when the trend has changed. But sometimes it is not enough only using this indicator itself. So lets look 2 indicator together in one chart.
Look circle SSL is saying it is in downtrend but Coral is saying it has entered in uptrend. if we just look to coral signal it can misleads us. So it can be better to look another indicator for validating our signals.
3 — Heikin Ashi RSI Oscillator by JayRogers
The Heikin-Ashi technique is used by technical traders to identify a given trend more easily. Heikin-Ashi has a smoother look because it is essentially taking an average of the movement. There is a tendency with Heikin-Ashi for the candles to stay red during a downtrend and green during an uptrend, whereas normal candlesticks alternate color even if the price is moving dominantly in one direction. This indicator actually recalculates the RSI indicator with the logic of heikin ashi. Due to smoothing, the bars are formed with a slight lag, reflecting the trend rather than the exact price movement. So lets look the original version to understand more clearly. If red bars turn to green bars it means uptrend may begin, if green bars turn to red it means downtrend may begin.
As you see HARSI giving lots of signal some of them is really good but some of them are not very well. Because it gives so much signals Now i will change time period and lets look same chart again.
Now results are better because of heikin ashi's logic. it is not suitable for day traders, it gives more accurate result when using the time period is longer. But it can be useful to use this indicator in short time periods using with other indicators. So you may catch the trend changes more accurately.
4 — MACD DEMA by ToFFF
This indicator uses a double EMA and MACD algorithm to analyze the direction of the trend. Though it might seem a tough task to manage the trades with the help of MACD DEMA once you know how the proper way to interpret the signal lines, it will be an easy task.
This indicator also smoothens the signal lines with the time series algorithm which eventually makes the higher time frame important. So, expecting better results in the lower time frame can result in big losses as the data reading from the MACD DEMA will not be accurate. In order to understand the function of this indicator, you have to know the functions of the EMA also.
The exponential moving average tends to give more priority to the recent price changes. So, expecting better results when the volatility is very high is a very risky approach to trade the market. Moreover, the MACD has some lagging issues compared to the EMA, so it is super important to use a trading method that focuses on the higher time frame only. What does MACD 12 26 Close 9 mean? When the DEMA-9 crosses above the MACD(12,26), this is considered a bearish signal. It means the trend in the stock – its magnitude and/or momentum – is starting to shift course. When the MACD(12,26) crosses above the DEMA-9, this is considered a bullish signal. Lets see this indicator on Chart.
When the blue line crossover red line it is good time to buy. As you see from the chart i put arrows where the crossover are appeared.
When the red line crossover blue line it is good time to sell or exit from position.
5 — WaveTrend Oscillator by LazyBear
This is a technical indicator that creates high and low bands between two values. It then creates a trend indicator that draws waves with highs and lows within these boundaries. WaveTrend is a widely used indicator for finding direction of an asset.
Calculation period: number of candles used to calculate WaveTrend, defaults to 10. Averaging period: number of candles used to average WaveTrend, defaults to 21.
As you see in chart when the lines crossover occured my strategy gives buy or sell signals.
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█ HOW TO USE
I hope you understand how the indicators I mentioned above work and what they are used for. Now, I will explain in detail how to use the strategy I have created.
When you enter the settings section, you will see 5 types of indicators. If you want to use the signals of the indicators, simply tick the box next to the indicators. Also, under each option there is an area where you can set the "lookback". This setting is a field that will make the signals overlap when you select more than one option. If you are going to trade with only one option, you should make sure that this field is 0. Otherwise, it may continue to generate as many signals as you choose.
Lets see in chart for easy understanding.
As you see chart, if i chose only HARSI with lookback 0 (HARSI and CORAL should be 1 minumum because of algorithm-we looking 1 bar before, others 0 because we are looking crossovers), it will give signals only when harsı bar's color changed. But when i changed Lookback as 7 it will be like this in chart.
Now i will choose 2 indicator with settings of their lookback 0.
As you see it will give signals when both of them occurs same time. But HARSI is an indicator giving very early signal so we can enter position 5-6 bars after the first bar color change. So i will change HARSI Lookback settings as 7. Lets look what happens when we use lookback option.
So it wil be useful to change lookback settings to find best signals in each time period and in each symbol. But it shouldnt be too high. Because you can be late to catch trend's starting.
this is an image of MACD and WAVE trend used and lookback option are both 6.
Now lets see an example with 3 options are chosen with lookback option 11-1-5
Now lets talk about indicators settings. After strategy options you will see each indicators settings, you can change their settings as you desired. So each indicators signal will be changed according to your adjustment.
I left strategy options with default settings. You can change it manually as if you want.
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█ LIMITATIONS: Don't rely on non-standard charts results. For example Heikin Ashi is a technical analysis method used with the traditional candlestick chart.Heikin Ashi vs. Candlestick Chart: The decisive visual difference between Heikin Ashi and the traditional chart is that Heikin Ashi flattens the traditional candlestick chart using a modified formula.
The primary advantage of Heikin Ashi is that it makes the chart more reader-friendly and helps users identify and analyze trends .
Because Heikin Ashi provides averaged price information rather than real-time price and reacts slowly to volatility — not suitable for scalpers and high-frequency traders. I added HARSI indicator as a supportive signal because it is useful with using CORAL and SSL channel indicators. If you change your candle types to Heikin Ashi , your profit will change in good way but dont rely on it.
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█ THANKS:
Special thanks to authors of the scripts that i used.
@LazyBear and @ErwinBeckers and @JayRogers and @ToFFF
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█ DISCLAIMER
Any trade decisions you make are entirely your own responsibility.
Fibonacci + Support/Resistant + Trendline (Price action)This is opening source code version: Fibonacci + Support/Resistant + Trendline (One of Advanced Price action Analysis).
How it works:
It find entry Long/Short by combining: Fibonacci + Support/Resistant + Trendline
1. Find Impulse wave:
To findind Impulse wave, It uses Pivot High/Low to find Impulse wave. In case find entry Long, If having Pivot High higher Pivot High before, it will draw an Impulse wave.
2. Find entry at Fibonacci levels:
Draw Fibonacci fibonacci retracement from Pivot Low to Pivot High. A Fibonacci retracement forecast is created by taking two extreme points on a chart and dividing the vertical distance by important Fibonacci ratios. 0% is considered to be the start of the retracement, while 100% is a complete reversal to the original price before the move. Horizontal lines are drawn in the chart for these price levels to provide support and resistance levels. Common levels are 23.6%, 38.2%, 50%, and 61.8%
3. Find entry at Support/Resistant Zone:
Support/Resistant Zone drawed from Pivot High before, which price just breaken and return to retest.
4. Find entry at Trendline:
Trendline drawed from Pivot High/Low before, which price just breaken and return to retest.
How do use it:
+ You can customize the thickness of the lines.
+ You can set up an alert when the price touchs important areas.
Comprehensive Market AnalyzerVERSION 2.0:
Notice to users: To better reflect its extensive features, this indicator has been renamed from "Tsūrubokkusu (Toolbox) 🧰" to "Comprehensive Market Analyzer". Thank you for your understanding and adaptation to this change.
Purpose and Usage:
The Comprehensive Market Analyzer is designed to provide traders with a holistic view of market conditions by integrating various technical indicators into a single,
cohesive tool. Each indicator has been carefully selected and improved to work together, offering enhanced customization and advanced market insights.
This combination allows for more comprehensive market analysis, improved decision-making, and efficient trading strategies.
📘 Machine Learning Integration
Purpose : Utilizes machine learning algorithms to analyze past market data and provides predictive insights based on historical data.
Usage : Activate machine learning features, set lookback windows, influence weighting, and start bar for improved trend predictions.
Activate Machine Learning :
Description : Enables advanced machine learning features that analyze past market data.
Details : This feature allows the algorithm to use historical data to forecast market movements, providing traders with enhanced predictive insights on historical data.
Kernel Lookback Window :
Description : Sets the number of previous bars that the algorithm will analyze.
Details : A higher number provides a broader view of market trends, while a lower number makes the model more sensitive to recent changes.
Kernel Influence Weighting :
Description : Adjusts the emphasis on recent versus older data.
Details : Increasing this value gives more importance to recent data, potentially making predictions more responsive to new trends.
Kernel Calculation Start Bar :
Description : Specifies the bar number from which to start the machine learning calculations.
Details : Avoids early data which may contain excessive noise and less reliable market signals.
Kernel Functions :
Gaussian Kernel :
Description : Uses a Gaussian distribution to weight historical data, focusing on more recent data points for trend analysis.
Details : Calculates weights based on the Gaussian distribution, emphasizing data points closer to the present.
Laplacian Kernel :
Description : Applies Laplacian distribution, emphasizing data points closer to the current time more heavily.
Details : Uses the Laplacian function to provide a different perspective on data weighting.
RBF Kernel :
Description : Utilizes a Radial Basis Function for smoothing and analyzing data, providing a different approach to trend prediction.
Details : Applies the RBF function to smooth data and enhance the accuracy of trend predictions.
Wavelet Kernel :
Description : Applies wavelet transform for analyzing frequency components, helping to detect patterns in the price movements.
Details : Uses wavelet-based calculations to focus on specific frequency components within the data, aiding in pattern recognition.
📘 Enhanced Ichimoku Kinkō Hyō Integration
Purpose : Provides a comprehensive overview of market trends and momentum using the Ichimoku Kinkō Hyō indicator.
Usage : Display various components of the Ichimoku Kinkō Hyō, customize their appearance, provides additional calculations for trend analysis.
Display Ichimoku Kinkō Hyō :
Description : Toggle to show or hide the Ichimoku Kinkō hyō indicator.
Details : This indicator helps traders see support and resistance levels, trend direction, and potential future movements.
Activate Heikin-Ashi Source :
Description : Switches between regular price data and Heikin-Ashi candles for analysis.
Details : Heikin-Ashi candles smooth price data, making trends easier to spot.
Display Tenkan-Sen Line :
Description : Shows the Tenkan-Sen line, a key short-term trend indicator.
Color Customization : Set the color of the Tenkan-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Tenkan-Sen line.
Maximum Length : Determine the longest period for calculating the Tenkan-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Tenkan-Sen based on market conditions.
Display Kijun-Sen Line :
Description : Shows the Kijun-Sen line, a key medium-term trend indicator.
Color Customization : Set the color of the Kijun-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Kijun-Sen line.
Maximum Length : Determine the longest period for calculating the Kijun-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Kijun-Sen based on market conditions.
Kijun-Sen Divider Tool : Adjust the sensitivity of the Kijun-Sen calculation.
Display Chikou Span :
Description : Shows the Chikou Span, which lags behind the current price to help confirm trends.
Bear Phase Color : Set the color for bearish periods.
Bull Phase Color : Set the color for bullish periods.
Consolidation Color : Set the color for consolidation periods.
Minimum Length : Determine the shortest lag period for the Chikou Span.
Maximum Length : Determine the longest lag period for the Chikou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Chikou Span based on market conditions.
Display Senkou Span A and B :
Description : Shows the Senkou Span A and B, which form the Ichimoku Cloud indicating future support and resistance levels.
Bear Color : Set the color for bearish clouds.
Bull Color : Set the color for bullish clouds.
Neutral Color : Set the color for neutral periods.
Minimum Length : Determine the shortest period for calculating the Senkou Span.
Maximum Length : Determine the longest period for calculating the Senkou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Senkou Span based on market conditions.
Projection Offset : Set how far ahead the Senkou Span is projected.
Kumo Cloud Settings :
Enable Kumo Cloud Fill : Toggle to fill the space between Senkou Span A and B with color.
Cloud Fill Transparency : Adjust the transparency of the cloud fill.
Apply WMA Smoothing :
Description : Smooths the indicator lines using a Weighted Moving Average to clarify trends.
Bar Coloring Based on Ichimoku Signals :
Description : Colors the bars based on Ichimoku signals to provide a quick visual indication of market sentiment.
Bearish Signal Bar Color : Set the color for bars during bearish signals.
Bullish Signal Bar Color : Set the color for bars during bullish signals.
Consolidation Signal Bar Color : Set the color for bars during consolidation periods.
Neutral Bar Color : Set the color for bars during neutral conditions.
Enhanced Calculations :
Heikin Ashi Values : Smooths price movements to make trends more visible.
Alternative Source Calculation : Uses a different method for calculating the indicator based on user settings.
Volume Calculations : Enhanced functions for calculating volume based on different candlestick patterns.
Dynamic Length Adjustment : Automatically adjusts the length of Ichimoku components based on market volatility.
Gaussian Kernel Calculations : Uses advanced calculations for smoother and more accurate trend analysis.
Chikou Span Adaptation : Improved calculation for the Chikou Span using dynamic lengths and advanced methods.
Visual Enhancements : Adds color gradients to the Senkou Span and dynamic coloring for the Chikou Span to improve trend visibility.
Plotting Ichimoku Components :
Tenkan-Sen : Plots the Tenkan-Sen line with dynamic adjustments.
Kijun-Sen : Plots the Kijun-Sen line with dynamic adjustments.
Senkou Span A and B : Plots these lines with dynamic projections and advanced smoothing.
Chikou Span : Plots the Chikou Span with dynamic offsets and coloring.
📘 Enhanced Candlestick Patterns Integration
Purpose : Identifies and displays various candlestick patterns to help traders spot key market movements and potential reversals.
Usage : Toggle the display of patterns, select specific pattern types, and customize pattern labels for improved visual analysis.
Display Patterns :
Description : Toggle to enable or disable the display of all candlestick patterns.
Details : When enabled, all selected candlestick patterns will be displayed on the chart, aiding traders in identifying key market movements and potential reversals.
Select Pattern Type :
Description : Select the type of candlestick patterns to detect.
Details : Options include Bullish (indicating potential upward trends), Bearish (indicating potential downward trends), or Both.
Trend Filter Method :
Description : Select the method to filter trends.
Details : Options include True Range (based on price range), Fractals, Volume, Combined, or None (no filtering).
Pattern Label Colors :
Bullish Pattern Color : Choose the color for labeling Bullish patterns, indicating potential upward trends.
Bearish Pattern Color : Choose the color for labeling Bearish patterns, indicating potential downward trends.
Indecision Pattern Color : Choose the color for labeling Indecision patterns, indicating no clear trend direction.
Base Line and Patterns Display Options :
Show Base Line in Place of Labels : Toggle to display a base line instead of labels for detected patterns. This helps visualize the general trend.
Show Counterattack Lines : Toggle to display Counterattack Lines patterns, indicating potential reversal points.
Show Dark Cloud Cover : Toggle to display Dark Cloud Cover patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Engulfing Patterns : Toggle to display Engulfing patterns. Bullish Engulfing patterns suggest a potential upward reversal, while Bearish Engulfing patterns suggest a potential downward reversal.
Show Hammer Patterns : Toggle to display Hammer patterns, a bullish pattern indicating a potential reversal from a downtrend to an uptrend.
Show Hanging Man Patterns : Toggle to display Hanging Man patterns, a bearish pattern indicating a potential reversal from an uptrend to a downtrend.
Show Harami Patterns : Toggle to display Harami patterns. Bullish Harami patterns suggest a potential upward reversal, while Bearish Harami patterns suggest a potential downward reversal.
Show In-Neck Patterns : Toggle to display In-Neck patterns, indicating a potential continuation of the current trend.
Show On-Neck Patterns : Toggle to display On-Neck patterns, indicating a potential continuation of the current trend.
Show Piercing Patterns : Toggle to display Piercing patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Three Black Crows : Toggle to display Three Black Crows patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Thrusting Patterns : Toggle to display Thrusting patterns, a bearish pattern suggesting a potential continuation of the downtrend.
Show Upside Gap Two Crows : Toggle to display Upside Gap Two Crows patterns, a bearish pattern suggesting a potential downward reversal after an upward gap.
Show Evening Star : Toggle to display Evening Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Inverted Hammer : Toggle to display Inverted Hammer patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Morning Star : Toggle to display Morning Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Shooting Star : Toggle to display Shooting Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Doji Patterns : Toggle to display Doji patterns, indicating market indecision and potential reversals.
Show Dragonfly Doji : Toggle to display Dragonfly Doji patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Evening Doji Star : Toggle to display Evening Doji Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Gravestone Doji : Toggle to display Gravestone Doji patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Long-Legged Doji : Toggle to display Long-Legged Doji patterns, indicating high market indecision and potential reversals.
Show Morning Doji Star : Toggle to display Morning Doji Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Rising Three Methods : Toggle to display Rising Three Methods patterns, a bullish pattern suggesting a continuation of the uptrend.
Show Falling Three Methods : Toggle to display Falling Three Methods patterns, a bearish pattern suggesting a continuation of the downtrend.
Show Tasuki Patterns : Toggle to display Tasuki patterns, indicating potential trend continuation after a gap.
Show Marubozo : Toggle to display Marubozo patterns, indicating strong trend continuation, either bullish or bearish.
Show Long Lower Shadow : Toggle to display Long Lower Shadow patterns, indicating strong buying pressure and potential upward movement.
Show Long Upper Shadow : Toggle to display Long Upper Shadow patterns, indicating strong selling pressure and potential downward movement.
Show Three Inside Up/Down : Toggle to display Three Inside Up/Down patterns, indicating potential bullish or bearish reversals.
Show Kicker Pattern : Toggle to display Kicker patterns, indicating significant potential reversals.
Show Tweezer Tops/Bottoms : Toggle to display Tweezer Tops/Bottoms patterns, indicating potential reversals at the tops or bottoms.
Show Mat Hold Pattern : Toggle to display Mat Hold patterns, a bullish pattern suggesting a continuation of the uptrend.
Candle Body/Shadow Comparison Options :
Candle Body/Shadow Comparison : Choose the criteria to compare candle sizes: Shadows (larger shadows), Body (larger body), Both (larger shadows and body), Either (larger shadows or body), or None (no comparison).
Look-back Period for Candle Comparison : Specify the number of periods to look back when comparing the current candle size to determine if it is significant.
Period for Body Length Average : Specify the period for calculating the average body length of candles to help identify significant patterns.
Period for Candle Length Average : Specify the period for calculating the average length of candles to help identify significant patterns.
Specific Pattern Thresholds :
Doji Body Percentage Threshold : Set the percentage threshold for identifying Doji patterns based on the candle body size compared to its range.
Upper Shadow Percentage Limit : Set the maximum allowed upper shadow percentage of the candle’s range for identifying specific Doji patterns.
Lower Shadow Percentage Limit : Set the maximum allowed lower shadow percentage of the candle’s range for identifying specific Doji patterns.
Price Deviation Tolerance : Specify the price deviation tolerance for pattern recognition, which helps in identifying patterns within a certain price range.
Thrusting Neck Percentage : Set the percentage threshold for identifying Thrusting Neck patterns, indicating a potential continuation of the current trend.
Base Line Settings :
Base Line EMA Length : Specify the length of the EMA for the Base Line, helping to visualize the general trend.
Enhanced Calculations :
Wavelet Transform : If machine learning is enabled, calculates the wavelet transform for smoother and more accurate pattern detection.
Candle Body and Shadows Calculation : Detailed calculations for candle body and shadow lengths to improve pattern detection.
Average Calculations : Calculate averages for body and candle sizes to help identify significant patterns.
Fractals Calculation : Identify fractal highs and lows to aid in trend detection.
Trend Filters : Apply user-selected trend filters based on True Range, Fractals, Volume, or a combination.
Pattern Detection and Labeling : Detects and labels various candlestick patterns, including Doji, Engulfing, Hammer, and more, with options for displaying labels or base lines.
Alerts and Notifications : Set alerts for detected patterns and base line colors to notify traders of significant market events.
Plotting Candlestick Patterns :
Pattern Detection : Automatically detects and labels various candlestick patterns based on user settings.
Label Customization : Customize the labels for different patterns, including color and text.
Base Line Plotting : Option to plot a base line instead of labels for detected patterns, enhancing trend visualization.
Alerts for Patterns : Set alerts for detected patterns to keep traders informed of significant market changes.
📘 Enhanced Fibonacci Retracement Integration
Purpose : Provides a tool for identifying potential support and resistance levels using Fibonacci retracement.
Usage : Toggle the display of Fibonacci levels, adjust the lookback period, and customize the appearance of Fibonacci levels for better market analysis.
Auto Mode :
Description : Toggle to enable or disable automatic detection of price points.
Details : When enabled, the highest and lowest price points within a specified period will be automatically detected to set Fibonacci levels. Disable to manually set the top and bottom prices.
Period :
Description : Set the lookback period for detecting price points.
Details : Defines the number of bars to look back when detecting the highest and lowest prices in Auto Mode, used for calculating Fibonacci levels.
Manual Top :
Description : Manually set the top price level.
Details : Adjust this setting to reflect the peak price of interest when Auto Mode is disabled.
Manual Bottom :
Description : Manually set the bottom price level.
Details : Adjust this setting to reflect the low price of interest when Auto Mode is disabled.
Display Fibonacci :
Description : Toggle to show or hide Fibonacci retracement levels.
Details : When enabled, the calculated Fibonacci levels will be displayed on the chart, overlaying the price data.
Baseline Levels :
Description : Select Fibonacci levels to highlight as baselines.
Details : Choose specific levels to be visually distinct, emphasizing their significance in the analysis.
Fibonacci Levels Colors :
Upper Levels Color : Set the color for Fibonacci levels above the baseline, indicating potential resistance levels.
Lower Levels Color : Set the color for Fibonacci levels below the baseline, indicating potential support levels.
Baseline Levels Color : Set the color for highlighted baseline Fibonacci levels, making them stand out from other levels.
Display Individual Fibonacci Levels :
Show Level : Toggle to enable or disable the display of specific Fibonacci levels.
Level Value : Set the multiplier used to calculate each specific Fibonacci level relative to the price range.
Reverse Levels :
Description : Toggle to switch the calculation direction of Fibonacci levels.
Details : When enabled, levels are calculated in reverse, useful for analyzing downtrends.
Line Extension :
Description : Choose how Fibonacci level lines are extended on the chart.
Details : Options include extending lines to the left, right, or both, affecting their visual presentation.
Text Size :
Description : Adjust the font size of the labels for Fibonacci levels.
Details : Options range from large to tiny, allowing for readability adjustments according to user preference.
Line Style :
Description : Select the line style for Fibonacci levels.
Details : Options include solid, dotted, and dashed, providing visual distinction.
Line Width :
Description : Set the thickness of the Fibonacci level lines.
Details : A higher value makes the lines more prominent on the chart.
Baseline Line Style :
Description : Choose the line style specifically for the baseline levels.
Details : This can differ from other Fibonacci levels to emphasize their importance.
Baseline Line Width :
Description : Adjust the thickness of the baseline level lines.
Details : Can be set differently from other levels for visual emphasis.
Enhanced Calculations :
Automatic and Manual Top/Bottom Setup : Detect or manually set the highest and lowest price points.
Price Range Calculation : Determine the range between the highest and lowest prices.
Fibonacci Level Values : Calculate the values for each Fibonacci level.
Visual and Label Configuration : Configure visual aspects and labels for each level.
Plotting and Labeling :
Level Plotting :
Description : Plot each Fibonacci level on the chart.
Details : Draw lines representing each calculated level.
Label Customization :
Description : Customize the labels for Fibonacci levels.
Details : Include text, colors, and positioning for clarity.
📘 Supports and Resistances Integration
Purpose : Identifies key support and resistance levels to aid in market analysis.
Usage : Toggle the display of support and resistance lines, customize their appearance, and use Bollinger Bands for additional insights.
Display Supports and Resistances :
Description : Toggle to enable or disable the display of support and resistance lines.
Details : When enabled, support and resistance lines will be shown on the chart, providing key levels for market analysis.
Swing Period :
Description : Set the retrospective period for identifying swing points.
Details : A longer period captures more significant trends but may reduce sensitivity. The default value is 10.
Support Line Color :
Description : Set the color for support lines.
Details : Choose a color that enhances chart readability. Default is green.
Resistance Line Color :
Description : Set the color for resistance lines.
Details : Choose a color that makes resistance lines easily distinguishable. Default is red.
Trend-Based Line Color :
Description : Toggle to enable dynamic coloring based on trend direction.
Details : When enabled, the color of the lines will change according to the trend, aiding visual analysis.
Line Thickness :
Description : Adjust the thickness of the support and resistance lines.
Details : Choose a thickness value between 1 and 5 for better visibility.
Line Style :
Description : Select the style of the lines.
Details : Options include Solid, Dotted, or Dashed lines for visual distinction.
Number of Lines to Display :
Description : Set the maximum number of support/resistance lines to display.
Details : Adjust the number of lines to avoid clutter or to show more levels.
Display Bollinger Bands :
Description : Toggle to show or hide Bollinger Bands on the chart.
Details : Bollinger Bands provide a visual representation of volatility and potential price ranges.
Bollinger Bands Integration :
Description : Enable the integration of Bollinger Bands for S/R calculation.
Details : This feature adjusts the placement of S/R lines based on the market volatility captured by the Bollinger Bands.
Bollinger Bands Color Settings :
Description : Set colors for different Bollinger Band conditions.
Details :
Green: Prices above the median but below the upper band (potential overbought area).
Dark green: Prices above the upper band (strong upward momentum).
Light red: Prices below the median but above the lower band (potential oversold area).
Dark red: Prices below the lower band (strong downward momentum).
Fill Opacity Adjustment :
Description : Adjust the fill opacity between Bollinger Bands.
Details : Set the opacity level to balance visibility with other chart elements.
BB Sensitivity Level :
Description : Adjust the sensitivity for determining S/R levels near Bollinger Bands.
Details : A higher value increases the consideration of levels near the bands.
Band Width Multiplier :
Description : Control the width of the Bollinger Bands.
Details : Adjust the multiplier to expand or contract the bands based on market volatility.
Uniform BB Coloring :
Description : Apply a consistent color to Bollinger Bands.
Details : Simplify visual interpretation with a uniform color.
Plotting and Alerts :
Plotting Bollinger Bands :
Description : Plot the Bollinger Bands on the chart.
Details : The bands are colored based on the conditions set for market volatility and price ranges.
Alerts and Notifications :
Description : Set alerts for support/resistance breaks and Bollinger Band breakouts.
Details : Notify traders of significant market events related to these levels.
📘 Enhanced Trend Lines Integration
Purpose : Identifies and plots trend lines based on market structure to help traders understand market direction and potential buy/sell points.
Usage : Toggle the display of trend lines, customize their appearance, and use enhanced calculations for trend analysis.
Display Trend Lines :
Description : Enable or disable the display of trend lines on the chart.
Details : These trend lines are calculated based on market structure, specifically through the detection of Breaks of Structure (BOS). If enabled, the trend lines will help in identifying the market overall trend and potential buy and sell points.
Trend Line Colors :
Upper Line Color : Set the color for the upper trend lines to enhance visual distinction.
Lower Line Color : Set the color for the lower trend lines, aiding in easy identification of support levels.
Pivot Labels :
Show Pivots Labels : Control the display of pivot labels on the chart.
Pivot Label Size : Select the size of the pivot labels displayed on the chart. Options include Tiny, Small, Normal, Large, and Huge.
Trend Line Calculations :
Pivot Depth : Adjust the depth for pivot calculation based on the selected timeframe to capture significant price movements.
Pivot Deviation : Set the deviation for pivot calculation to identify key turning points.
Pivot Backstep : Define the backstep for pivot calculation to ensure accurate detection of pivot points.
Enhanced Calculations :
Market Structure Detection : Utilize advanced algorithms to identify key market structures, improving trend line accuracy.
Adaptive Parameters : Automatically adjust pivot depth, deviation, and backstep based on the selected timeframe for better relevance.
Zigzag Calculation : Implement zigzag patterns to dynamically adjust trend lines, ensuring they reflect current market conditions.
Slope and Intercept Calculation : Compute the slope and intercept for trend lines to enhance precision in trend detection.
Dynamic Updates : Continuously update trend lines as new data becomes available, ensuring real-time accuracy.
Alerts and Notifications : Set alerts for new high and low pivots, as well as for when the price crosses upper or lower trend lines, keeping traders informed of significant market changes.
Plotting Trend Lines :
Trend Line Plotting : Automatically draw trend lines based on detected BOS, helping traders visualize the market trend.
Diagonal Support/Resistance Lines : Plot diagonal lines to indicate support and resistance levels, enhancing the understanding of market dynamics.
Pivot Label Customization : Customize pivot labels for clear identification of high and low points in the trend.
Alerts for Trend Lines : Set alerts for when price crosses trend lines, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Linear Regression Integration
Purpose : Uses linear regression to analyze price movements and identify trends.
Usage : Display the linear regression projection line, customize its appearance, and use enhanced calculations for better trend analysis.
Display Projection Line :
Description : Toggle to display or hide the linear regression projection line on the chart.
Details : This line represents the best fit line that predicts future prices based on historical data.
Data Source :
Description : Select the data source for the linear regression projection.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the linear regression projection line.
Trend-Based Line Color :
Enable Trend-Based Line Color : Toggle to automatically color the projection line based on the trend direction. When enabled, the line will be red for a downward trend and green for an upward trend, providing a visual indication of market direction.
Uptrend Line Color : Select the color for the projection line when the trend is upward. This color will be used when "Enable Trend-Based Line Color" is active.
Downtrend Line Color : Select the color for the projection line when the trend is downward. This color will be used when "Enable Trend-Based Line Color" is active.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Linear Regression Components :
Projection Line Plotting : Automatically draw the linear regression projection line based on historical data and the selected data source.
Label Customization : Customize the label for the projection line, including color and text, for clear identification on the chart.
Alerts for Projection Line : Set alerts for when the price crosses the projection line, ensuring timely notifications of potential trading opportunities.
📘 POC Analysis Integration
Purpose : Identifies the Point of Control (POC) to highlight price levels with the highest trading volume.
Usage : Toggle the display of the POC, customize its appearance, and use enhanced calculations for better market analysis.
Display POC :
Description : Toggle to display or hide the Point of Control (POC) on the chart.
Details : The POC is the price level at which the highest volume of trading occurred, indicating a focal point of market activity.
Data Source :
Description : Select the price source for POC analysis.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the POC.
POC Line Colors :
Color Above POC : Set the line color when the closing price is above the POC.
Color Below POC : Set the line color when the closing price is below the POC.
Width Multiplier :
Description : Adjust the width around the price for POC analysis.
Details : A higher value broadens the calculation range.
POC Calculation and Visualization :
Price Level Initialization : Calculate the initial spacing between price levels based on the first candlestick and user settings.
Volume Data Accumulation : Accumulate volume data at specified price levels for each candlestick to determine the POC.
Dynamic Array Expansion : Expand price levels array to accommodate new price data outside the current range.
POC Determination : Determine and visualize the POC at the last candlestick if enabled by the user.
Alerts and Notifications : Set alerts for when the price crosses the POC, notifying traders of significant market events.
Plotting POC Components :
POC Line Plotting : Automatically draw the POC line based on historical data and the selected data source.
Label Customization : Customize the label for the POC line, including color and text, for clear identification on the chart.
Alerts for POC : Set alerts for when the price crosses the POC, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Divergences Integration
Purpose : Detects and displays divergences between price movements and indicators to identify potential reversal points.
Usage : Toggle the display of divergences, select data sources, customize divergence colors, and use enhanced calculations for better trend analysis.
Display Divergences :
Description : Toggle to display or hide the detected divergences on the chart.
Details : Divergences occur when the price movement of an asset and a related indicator (e.g., volume or momentum) move in opposite directions. They are used to identify potential reversal points in the market. Regular divergences signal possible reversals, while hidden divergences can indicate continuation.
Data Source :
Description : Defines the timeframe from which to fetch data for analysis.
Details : Typically lower than the chart current timeframe for multi-timeframe analysis.
Divergence Colors :
Bearish Divergence Color : Sets the color for bearish divergence lines. Bearish divergences typically suggest potential downward price movement.
Bullish Divergence Color : Sets the color for bullish divergence lines. Bullish divergences typically indicate potential upward price movement.
Pivot Bars :
Left Bars : Number of bars to the left of the pivot point to consider. Helps in identifying the pivot high or low by looking back these many bars.
Right Bars : Number of bars to the right of the pivot point to consider. Assists in confirming a pivot point by ensuring no higher high or lower low is present within this range.
Display Hidden Divergences :
Description : When enabled, this setting reveals hidden divergences on the chart.
Details : Hidden divergences are a subtler form of divergence that often signal continuation rather than reversal. A hidden bullish divergence occurs when price makes a higher low while the indicator makes a lower low, suggesting the continuation of an uptrend. Conversely, a hidden bearish divergence occurs when price makes a lower high while the indicator makes a higher high, indicating the continuation of a downtrend. These divergences are particularly useful for identifying the strength of the current trend.
Dynamic Line Width Based on Divergence Count :
Description : When enabled, adjusts the width of the divergence line dynamically based on the count of divergences detected.
Details : This provides visual emphasis on stronger signals.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Divergence Components :
Divergence Line Plotting : Automatically draw divergence lines based on historical data and the selected data source.
Label Customization : Customize the label for the divergence lines, including color and text, for clear identification on the chart.
Alerts for Divergences : Set alerts for when a divergence is detected, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Average True Range Integration
Purpose : Measures market volatility using the Average True Range (ATR) to assist in identifying potential buy and sell points.
Usage : Set the ATR period, minimum tick filter, upper and lower coefficients, and customize ATR colors for better market analysis.
Show Labels :
Description : Enable or disable the display of labels for the Average True Range (ATR) indicator.
Details : This option controls whether the ATR signals (buy and sell) are shown on the chart with respective labels.
ATR Period :
Description : Sets the period for calculating the Average True Range (ATR).
Details : The ATR measures market volatility by calculating the average range of price movement over a specified period. A shorter period makes the ATR more sensitive to recent price movements, while a longer period smooths out short-term volatility.
Minimum Tick Filter :
Description : Sets the minimum tick filter for buy and sell signals.
Details : This filter ensures that the price movement is significant enough to be considered a valid signal. For example, a value of 20 means that the price must move at least 20 ticks from the open to the close to generate a signal.
Upper Coefficient :
Description : Sets the upper coefficient for band calculation.
Details : This value adjusts the sensitivity of the upper band used to detect high points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
Lower Coefficient :
Description : Sets the lower coefficient for band calculation.
Details : This value adjusts the sensitivity of the lower band used to detect low points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
ATR Colors :
Bullish Color : Sets the color for the bullish signal, helping to visually distinguish bullish trends.
Bearish Color : Sets the color for the bearish signal, helping to visually distinguish bearish trends.
Enhanced Calculations :
Dynamic Coefficient Calculation : Calculates dynamic coefficients based on market volatility, adjusting the sensitivity of ATR bands accordingly.
Band Calculation : Computes high and low bands using dynamic coefficients to detect significant price movements.
High/Low Point Detection : Identifies potential high and low points based on ATR band calculations and price thresholds.
Real-Time Updates : Continuously updates ATR calculations and signals as new data becomes available, ensuring accuracy in real-time.
Plotting ATR Components :
Signal Plotting : Plots bullish and bearish ATR signals on the chart based on calculated conditions.
Label Customization : Customize the labels for ATR signals, including color and text, for clear identification on the chart.
Alerts for Signals : Set alerts for detected bullish and bearish signals, ensuring timely notifications of potential trading opportunities.
📘 Enhanced ATR Visualization Parameters
Purpose : Provides a visual representation of market volatility using the ATR Strength Meter.
Usage : Toggle the display of the ATR Strength Meter, set thresholds, and customize its appearance for better market analysis.
Display ATR Strength Meter :
Description : Toggle to display or hide the ATR Strength Meter, a visual representation of market volatility.
Details : The meter is based on the Average True Range (ATR) and helps identify volatility trends.
High ATR Threshold :
Description : Set the threshold for high volatility.
Details : ATR values above this threshold indicate increased market volatility.
Low ATR Threshold :
Description : Set the threshold for low volatility.
Details : ATR values below this threshold indicate decreased market volatility.
Progression Bar Position :
Description : Select the position of the ATR Strength Meter on the chart.
Details : Options are "Top" or "Bottom", affecting where the volatility meter is displayed relative to price action.
Progress Bar Length :
Description : Set the horizontal length of the ATR Strength progression bar.
Details : Adjust to increase or decrease the bar's width, accommodating different chart sizes and user preferences.
Enhanced Calculations :
ATR Strength Calculation : Calculate the ATR strength to measure market volatility.
Dynamic Coefficients : Use dynamic coefficients based on volatility for more accurate calculations.
Progress Bar Calculation : Determine the position and color of the progression bar based on ATR strength.
Label Positioning : Dynamically position labels for minimum and maximum values to avoid overlap.
Plotting ATR Strength Meter :
Progression Bar Plotting : Plot the progression bar to represent the ATR strength.
Label Customization : Customize labels for the ATR strength, minimum, and maximum values.
📘 Enhanced Relative Strength Index Integration
(A special thanks to RumpyPumpyDumpy for allowing the private reuse of his script.)
Purpose : Measures market momentum using the Relative Strength Index (RSI) and Stochastic RSI to assist in identifying potential buy and sell points.
Usage : Set the RSI and StochRSI parameters, toggle the display of the RSI Meter, and customize its appearance for better market analysis.
RSI Calculation Parameters :
RSI Length : Defines the length of the RSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
RSI Overbought Level : Sets the overbought level for RSI.
Details : Values above this level indicate overbought conditions.
RSI Oversold Level : Sets the oversold level for RSI.
Details : Values below this level indicate oversold conditions.
StochRSI Length : Defines the length of the StochRSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
StochRSI %K Length : Defines the length of the %K line of the StochRSI.
StochRSI %D Length : Defines the length of the %D line (SMA of %K) of the StochRSI.
RSI Visualization Parameters :
Display RSI Meter : Toggle the display of the RSI Meter on the chart.
RSI Meter Size : Adjust the size of the RSI Meter displayed on the chart.
Details : Measured as the diameter of the meter. Increase the value for larger display size, enhancing visibility and making it easier to read the RSI trend at a glance.
Horizontal Offset : Move the RSI Meter horizontally across the chart.
Details : Positive values shift the meter to the left, allowing for placement adjustments relative to the chart's current view or specific visual preferences.
RSI Meter Components :
Sectors and Ticks : Draw sector arcs and tick marks around the RSI Meter to represent different RSI levels and thresholds.
Needle : Draw the needle on the RSI Meter to indicate the current RSI value.
Sector Labels : Label each sector of the RSI Meter to indicate market conditions like "Strong Buy," "Buy," "Neutral," "Sell," and "Strong Sell."
Title Label : Draw the title label for the RSI Meter displaying the RSI value and its period.
Enhanced Calculations :
RSI Calculation : Calculate the RSI using the built-in function with the specified length and source.
StochRSI Calculation : Calculate StochRSI values using the specified lengths for RSI, %K, and %D.
Dynamic Line Management : Efficiently manage and update dynamically created line objects to prevent potential memory leaks.
Optimized Sector and Needle Drawing : Enhanced the drawing functions for sectors, needles, and ticks to improve visual clarity and performance.
Plotting RSI Meter :
Sector Plotting : Draw the sectors on the RSI Meter using specified colors and widths to represent different RSI levels and thresholds.
Needle Plotting : Plot the needle on the RSI Meter based on the calculated RSI value to visually indicate the current RSI level.
Tick Plotting : Plot tick marks around the RSI Meter to denote key RSI levels and thresholds for better readability.
Label Plotting : Draw sector labels and a title label on the RSI Meter to provide context and information about the RSI levels and their corresponding market conditions.
📘 Market Sentiment Integration
Purpose : Analyzes market sentiment using various indicators to provide an overall sentiment score.
Usage : Enable or disable individual sentiment indicators, set account type, and customize sentiment calculations for better market analysis.
Volatility Index (IV) :
Description : Enable or disable the use of the Volatility Index in sentiment calculation.
Details : When enabled, the Volatility Index (IV) provides insight into market sentiment by measuring market volatility. The selected Volatility Index varies based on your TradingView account type.
Account Type :
Description : Select your TradingView account type.
Details : Free accounts use SPX, while Premium accounts use VIX.
Put/Call Ratio (PCR) :
Description : Enable or disable the use of the Put/Call ratio in sentiment calculation.
Details : The Put/Call ratio is a sentiment indicator that measures the volume of put options traded relative to call options, indicating market sentiment towards bearish or bullish expectations.
Fear and Greed Index :
Description : Enable or disable the use of the Fear and Greed Index in sentiment calculation.
Details : The Fear and Greed Index gauges the prevailing emotions in the market, indicating whether investors are inclined towards fear (bearish sentiment) or greed (bullish sentiment).
Momentum Indicators :
Description : Enable or disable the use of momentum indicators like MACD and RoC in sentiment calculation.
Details : Momentum indicators help identify the strength and direction of price movements, assisting in sentiment analysis.
Adaptive Periods for Shorter Timeframes :
Description : Toggle this option to use shorter periods for sentiment indicators when analyzing lower timeframes.
Details : Enabling this option allows for more responsive and sensitive analysis when working with shorter timeframes.
Calculation Details :
Normalization Function : Normalize the values of the indicators over a 252-period range.
Set Periods Function : Set periods based on user preference for faster or slower periods, adjusting the analysis sensitivity.
IV Calculation : Calculate the IV value based on the selected Volatility Index (SPX for Free accounts, VIX for Premium accounts).
Put/Call Ratio Calculation : Calculate the Put/Call ratio using volume data, where put volume is proportional to the trading range, and call volume is proportional to the price change.
RoC Calculation : Calculate the Rate of Change (RoC) as a momentum indicator, measuring the percentage change in closing prices over a specified period.
Dynamic Thresholds : Define dynamic thresholds based on historical data, calculating mean and standard deviation to determine upper and lower thresholds for IV, PCR, and RoC.
📘 Enhanced Market Trend Dashboard Integration
Purpose : Provides a summary of key market indicators and signals in a single dashboard for quick and easy reference.
Usage : Customize the dashboard settings to display relevant market information, including Ichimoku components, Linear Regression, Support/Resistance levels, MACD, RSI, and Market Sentiment.
Market Trend Dashboard Parameters :
Display Market Trend Dashboard : Toggle to show or hide the market trend dashboard, providing a summary of key indicators and signals.
Panel Position : Select the position of the dashboard on the chart for optimal viewing.
Panel Text Size : Choose the text size for the information displayed in the dashboard, ensuring readability.
Panel Background Color : Set the background color of the market trend dashboard, enhancing contrast with the chart.
Ichimoku Dashboard Parameters :
Display Ichimoku Dashboard : Toggle to show or hide the Ichimoku section in the dashboard.
Display Tenkan-Sen Price Cross : Indicate when the price crosses the Tenkan-Sen line, signaling potential trade opportunities.
Display Kijun-Sen Price Cross : Indicate when the price crosses the Kijun-Sen line, often considered a stronger signal than Tenkan-Sen crosses.
Display Chikou Span Price Cross : Indicate Chikou Span price crosses, providing insight into potential trend reversals.
Display Kumo Breakout : Indicate Kumo (cloud) breakouts, which can signify major trend shifts.
Display Kumo Twist : Indicate Kumo twists, suggesting changing market dynamics and potential reversals.
Linear Regression Projection Dashboard Parameters :
Display LR Projection Dashboard : Toggle to show or hide the Linear Regression Projection section in the dashboard.
Display Linear Regression Period : Indicate the period used for Linear Regression Projection analysis.
Display Pearson R Details : Show the Pearson R value in the dashboard, indicating the strength and direction of the correlation in the Linear Regression Projection.
Supports and Resistances Dashboard Parameters :
Display S/R Dashboard : Toggle to show or hide the Support and Resistance section in the dashboard.
Display S/R Break Prices : Show the latest break prices of support and resistance levels in the dashboard.
MACD Dashboard Parameters :
Display MACD Dashboard : Toggle to show or hide the MACD section in the dashboard.
RSI Dashboard Parameters :
Display RSI Dashboard : Toggle to show or hide the Relative Strength Index section in the dashboard.
Display RSI Details : Show the RSI value and status in the dashboard.
Display StochRSI Details : Show the StochRSI %K, %D values and status in the dashboard.
Market Sentiment Dashboard Parameters :
Display Market Sentiment Dashboard : Enable or disable the display of the Market Sentiment Dashboard, which summarizes key market sentiment indicators like Implied Volatility, Put/Call Ratio, and Fear and Greed Index.
Display Implied Volatility Details : Show or hide the Implied Volatility details in the Market Sentiment Dashboard.
Display Put/Call Ratio Details : Show or hide the Put/Call Ratio details in the Market Sentiment Dashboard.
Display Fear and Greed Index Details : Show or hide the Fear and Greed Index details in the Market Sentiment Dashboard.
Enhanced Calculations :
Ichimoku Cloud Trend Calculation : Calculates trend based on the relationship between Ichimoku Cloud components, identifying bullish or bearish trends.
Support and Resistance Break Detection : Detects breaks in support and resistance levels and updates the dashboard accordingly.
Linear Regression Projection Calculation : Calculates Linear Regression Projection and Pearson R value for trend analysis.
MACD Signal Calculation : Determines MACD status based on histogram values.
RSI and StochRSI Calculation : Calculates RSI and StochRSI values and updates their statuses in the dashboard.
Market Sentiment Score Calculation : Calculates overall market sentiment score based on individual sentiment indicators.
Dynamic Alert Management : Manages alerts for various dashboard signals to prevent repeated alerts.
Real-Time Data Integration : Continuously updates the dashboard with real-time data for accurate and current trend analysis.
Plotting Market Trend Dashboard Components :
Ichimoku Components Plotting : Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Kumo cloud with dynamic adjustments.
Support and Resistance Levels Plotting : Plots support and resistance levels and updates them dynamically based on market data.
Linear Regression Projection Plotting : Plots the Linear Regression Projection line and labels with trend-based colors.
MACD and RSI Plotting : Plots MACD and RSI signals on the dashboard, including status updates.
Market Sentiment Indicators Plotting : Plots Market Sentiment indicators like IV, PCR, and Fear and Greed Index with dynamic updates.
Alert Notifications Plotting : Plots alert notifications for significant market changes based on dashboard signals.
Summary
This comprehensive market analyzer integrates multiple technical indicators, including machine learning, Ichimoku Kinkō Hyō, candlestick patterns, Fibonacci retracement, support and resistance levels, trend lines, linear regression, POC analysis, divergences, ATR, RSI, and market sentiment. Each section includes detailed descriptions and usage instructions to help traders understand how to effectively utilize the indicator in their trading strategies.
[ADOL_]SIGNAL BASIC
Title: SIGNAL BASIC (ADOL Signal Basic)
★ indicator description)
MW: Large Wave upper line
SW: Large Wave bottom line
fast long: same as abs, fast long signal
slow long: same as signal v1.0, stability-based delayed long signal
slow short: same as signal v1.0, delayed short signal based on stability
slow branch point: same as signal v1.0, long short transition point
Signal line, top line, bottom line: change the optimal value
Whipsaw Indicator: Reference 128 (adjusted to 5 minutes = 32, 15 minutes = 128, 1 hour bar = 32)
Oversold, Overbought: Background display of oversold and overbought in the current section
Support line: Support line based on inflection
Large Wave: Used as support / resistance
※ Signal Plus additional function:
fast short, super long, super short, resistance wire, small wave, internal adjustment function
However, the basic logic of the core long shot is the same.
★ Basic Signal Rule Guide)
time)
-"Signal recommendation time frame: 5-15 minute bar = single hit, 1 hour bar (or more) = swing"
-"After confirming the signal closing price, it is possible to enter, before closing, but in an aggressive position"
wave)
-"General rule (slow signal standard): Long-minute-short-minute-long-minute-short // Long, branch point (minute), short appear regularly
-"Special rule: Cross appearance of long shots without divergence = swept or strong trend."
enter)
-"Long/Short'Basic Use': Enter after checking basic signal.
In the overbought/oversold section, the entry of the opposite position signal is approached as a rebalancing strategy.
Stop loss)
-Sonjeolga moves against the flow of the candle and catches it at the starting end of the wave."
clearing)
-"Branch point'basic use': Use as a liquidation (recommended) spot when a branch point appears after entering long/short positions.
Application 1)
A fork indicates the possibility that the direction of the trend can change.
Therefore, the location of the fork can be near the (short-term) high/low."
Application 2)
★ Part of the trading method) Trend line synthesis strategy
-Necessary basic skills: Practice drawing a trend line, the trend and wave of reading the trend
1. Draw up and down trend lines.
2. Signals that occur before/after the trend line act strongly.
example)
Request for permission: Write Google form
타이틀 : SIGNAL BASIC (아돌 시그널 베이직)
★ 지표 설명)
MW : 큰형 상단선
SW : 큰형 하단선
fast 롱 : abs와 동일, 빠른 롱시그널
slow롱 : 시그널v1.0과 동일, 안정성 기반의 지연된 롱시그널
slow숏 : 시그널v1.0과 동일, 안정성 기반의 지연된 숏시그널
slow분기점 : 시그널v1.0과 동일, 롱숏의 전환 분기점
시그널선, 상단선, 하단선 : 최적값 변경
휩쏘인디케이터 : 기본값128 (5분봉 = 384, 15분봉 = 128, 1시간봉 = 32로 조절)
과매도, 과매수 : 현구간 과매도, 과매수 배경표기
지지선 : 캔들변곡 기반의 지지선
큰형 웨이브 : 지지/저항으로 활용
※ 시그널 플러스 대비 제한된 기능 :
fast숏, 슈퍼롱, 슈퍼숏, 저항선, 작은형 웨이브, 세팅조절 기능
그러나 핵심적인 롱숏의 기본로직은 동일
★ 기본 시그널 규칙 가이드)
시간)
- "시그널 추천 타임프레임 : 5-15분봉 = 단타, 1시간봉(이상) = 스윙"
- "시그널 종가확인후 진입, 종가전 진입 가능하지만 공격적 포지션"
파동)
- "일반규칙(slow시그널 기준) : 롱-분-숏-분-롱-분-숏 // 롱,분기점(분),숏이 규칙적으로 등장
- "특수규칙 : 분기점없이 롱숏의 교차출현 = 휩쏘나 강한추세를 뜻합니다."
진입)
- "롱/숏 '기본활용' : 기본적인 시그널 확인후 진입합니다.
과매수/과매도 구간에서 반대포지션 시그널의 진입은 리벨런싱 전략으로 접근합니다.
손절)
- 손절가는 캔들의 흐름을 거슬러 눌림목, 파동의 시작끝점에 잡습니다."
청산)
- "분기점 '기본활용' : 롱/숏 포지션 진입 후 분기점 출현시 청산(추천)자리로 활용.
응용1)
분기점은 추세방향이 바뀔 수 있는 가능성을 의미합니다.
따라서, 분기점 위치는 (단기)고점/저점 부근이 될 수 있습니다."
응용2)
★ 매매법 일부) 추세선 합성 전략
- 필요한 기본기 : 추세선 긋기 작도 연습, 추세읽기의 추세와 파동
1. 상승,하락 추세선을 그리십시오.
2. 추세선 전/후에 발생하는 시그널은 강력하게 작용합니다.
예시)
예시2)
예시3)
권한요청 : 구글폼 작성
[blackcat] L2 Ehlers Even Better SinwaveLevel: 2
Background
John F. Ehlers introduced Even Better sinwave Indicator in his "Cycle Analytics for Traders" chapter 12 on 2013.
Function
The original Sinewave Indicator was created by seeking the dominant cycle phase angle that had the best correlation between the price data and a theoretical dominant cycle sine wave. The Even Better Sinewave Indicator skips all the cycle measurements completely and relies on a strong normalization of the waveform at the output of a modified roofing filter. The modified roofing filter uses a single-pole high-pass filter to deliberately retain the longer-period trend components. The single-pole high-pass filter basically levels the amplitude of all the cycle components that would otherwise be larger with longer wavelengths due to Spectral Dilation. Therefore, when the waveform is normalized to the power in the waveform over a short period of time, the longer wavelength contributions tend to be an indication to stay in a trade when the market is in a trend.
The Even Better Sinewave Indicator works extraordinarily well when the market is in a trend mode. This means that the spectacular failures of most swing wave indicators are mitigated when the expected price turning point does not occur.
Although Dr. Ehlers admitted he had not studied it extensively, it appears that the Even Better Sinewave Indicator works well on futures intraday data. It takes a position in the correct direction and tends to stay with the good trades without excessive whipsawing.
Key Signal
Wave --> Even Better sinwave Indicator fast line
Trigger --> Even Better sinwave Indicator slow line
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 55th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
ApexBull Momentum OscillatorOfficial ApexBull Momentum Oscillator
Description:
An oscillator that gauges long term momentum to keep you in the trades. It utilizes moving averages and other momentum gauging indicators and price action to ensure that you stay in your trades.
Elliott Wavers found this to be extremely useful to identify waves. This oscillator will not only help you identify waves better as it will highly accurately predict when it begins and ends but will simply keep you in trades so you dont take profits too soon. Can be used to gauge waves on any time frame and works best in combination with our ApexBull Trend Trading Indicator (Conservative and Aggressive versions).
If you would like to try out my indicator please send me a direct message here.
MPI - Medic's Pulse Indicator v6MPI - Medic's Pulse Indicator has been formed over years and thousands of trades. Its completely customized for me, MedicWill. I have analyzed my best trading as well as the worst trades and compiled a system to keep my head clear and not get distracted by market swings. This started as v1 with my good friend OhHeyMatty working on his Bart indicator. I then customized the base and wrote the accompanying scripts which all work in conjunction. I believe the patterns and safety built in can help any traders psychologically to not get caught in market manipulation. But as anything else, I fear misuse will just reinforce bad ideas. Be careful.
As a 20 year paramedic I feel I have found the pulse of the market so I built the MPI around keeping me clear headed and in touch with the markets. Everything is termed in medical terminology because that's the world I come from. When I look at a trade-able chart and a patients EKG, I see many similarities and patterns. I believe the system will work on anything that is trad-able, but I have only personally tested on BTC/USD pairs and optimized for 2 hr setting. Do not confused being optimized for 2 hour as the only use-able time frame. All time frames under and over 2hr are important, but the 2hr is the official signaler if other time frames agree. Seeing the patterns and using them together is the key.
I did not know how to code, I did not know script. I know how to find the best of people (and indicators) and put them together to create something very powerful. I tweaked it for my needs and make it optimized for myself. Ive been doing that my whole life.
This lead me to trying to find coders who could write what Im doing, Ive yet to find a coder that can do it, especially on Pine which I guess is shit ;).
There is no hesitation releasing the indicator as I know without the Medic Pulse Strategy, you will be creating your own way. The tools are here, and they are free. Figure it out, I did. If not, come talk to me. Show me how you figured out the MPI pulse and please come share your success with me. Its what I'm here for and would make me very happy to see the success spread.
I have no interest in selling indicators. I'm here to help the community. I've dedicated my life to helping others and this is just another extension of my commitment. As a paramedic, my scope of help is restricted to the people that get in my ambulance. Here I have the ability to spread help on much bigger scale.
My hesitation is in releasing a powerful tool without explaining how to use it. This is the secret sauce. So although my scripts will be free, its based on the years of trading and using the MPI showed me if used correctly can be very amazing, but just as anything else in life, if not used properly the results will not be as expected.
I have never back tested it besides just manually because Ive yet to find a coder that can put into code what I am doing and looking at.
So I just did it myself. Its my very first indicator and I am so excited to see what the future brings. What I have noticed is there is a difference between traders and coders. Trading is more of an art form than a science. I've been painting this art my whole life and never realized it. Hanging out with OhHeyMatty helped me understand the mechanic behind what I was seeing.
My assumption will be the first mistake traders will make is not referencing multiple times frames and getting stuck in a view they they WANT to see. I urge caution about letting your bias influence your views.
The MPI works best when you are not in a trade, and dont care which way the market goes. As professionals we do not care which way the market moves, we just know exactly what we will do no matter what it does.
This is KEY. The MPI does not target exits because the MPI reads the market, it does not dictate the market. You can use the same common targets, MA's etc, that everyone uses. If unsure, use those as everyone targets them. Over time your trust in the MPI will grow.
The beauty of the MPI is it will not take you out of a winning trade and NEVER caps gains. You position sizing and management will be key to your success. This is a big key. We ride the waves for as long as they let us, but we know when to jump off and catch the next wave.
We are wavenostic.
I like the idea of releasing the script for people and letting them create their own vision with it. I have no doubt there is someone out there that will see things differently and even might find a better way to use the MPI than I have found. This is very exciting.
If you find any benefits from the MPI and create your trading using it, please contact me and let me know!
Im so curious, and I know with all the powerful minds in this space, there is plenty of room for growth.
I dont need to talk about my gains or percentages. Working amazing for me does NOT mean it will or you.
But remember, that does NOT mean you CANT do way better than me. Its up to you. Do it.
Indicators designed to work together:
Medic's Pulse Indicator - Indicator v6 (MPI-v6)
Medic's Pulse Indicator - Pulse v6 (MPI-v6)
Medic's Pulse Indicator - RS (MPI-RS)
Medic's Pulse Indicator - WaveTrend (MPI-WaveTrend)
A very special and heart felt thanks goes out to my good friend and part of the fam, OhHeyMatty.
Matty shares my love for others and desire to spread as much good as possible. We know one of the ways we are strongest is helping people interpret markets. So please enjoy and best wishes!
And a heartfelt thanks goes to rapper and inspiration, Nipsey Hustle.
if you think that is just rap, I encourage you to listen to the words. Nipsey will always be someone special that inspires me on the deepest level. Same with 2Pac, Biggie and all the true OG's. Listen to the words before you tell me its just rap. You might be surprised, to the level of being overwhelmed with inspiration. Or you might just think its some thugs singing about money. The choice is yours.
Everything is what you make it. You decide. The world is what you make it. Make is amazing. Cheers!
TASC 2025.06 Cybernetic Oscillator█ OVERVIEW
This script implements the Cybernetic Oscillator introduced by John F. Ehlers in his article "The Cybernetic Oscillator For More Flexibility, Making A Better Oscillator" from the June 2025 edition of the TASC Traders' Tips . It cascades two-pole highpass and lowpass filters, then scales the result by its root mean square (RMS) to create a flexible normalized oscillator that responds to a customizable frequency range for different trading styles.
█ CONCEPTS
Oscillators are indicators widely used by technical traders. These indicators swing above and below a center value, emphasizing cyclic movements within a frequency range. In his article, Ehlers explains that all oscillators share a common characteristic: their calculations involve computing differences . The reliance on differences is what causes these indicators to oscillate about a central point.
The difference between two data points in a series acts as a highpass filter — it allows high frequencies (short wavelengths) to pass through while significantly attenuating low frequencies (long wavelengths). Ehlers demonstrates that a simple difference calculation attenuates lower-frequency cycles at a rate of 6 dB per octave. However, the difference also significantly amplifies cycles near the shortest observable wavelength, making the result appear noisier than the original series. To mitigate the effects of noise in a differenced series, oscillators typically smooth the series with a lowpass filter, such as a moving average.
Ehlers highlights an underlying issue with smoothing differenced data to create oscillators. He postulates that market data statistically follows a pink spectrum , where the amplitudes of cyclic components in the data are approximately directly proportional to the underlying periods. Specifically, he suggests that cyclic amplitude increases by 6 dB per octave of wavelength.
Because some conventional oscillators, such as RSI, use differencing calculations that attenuate cycles by only 6 dB per octave, and market cycles increase in amplitude by 6 dB per octave, such calculations do not have a tangible net effect on larger wavelengths in the analyzed data. The influence of larger wavelengths can be especially problematic when using these oscillators for mean reversion or swing signals. For instance, an expected reversion to the mean might be erroneous because oscillator's mean might significantly deviate from its center over time.
To address the issues with conventional oscillator responses, Ehlers created a new indicator dubbed the Cybernetic Oscillator. It uses a simple combination of highpass and lowpass filters to emphasize a specific range of frequencies in the market data, then normalizes the result based on RMS. The process is as follows:
Apply a two-pole highpass filter to the data. This filter's critical period defines the longest wavelength in the oscillator's passband.
Apply a two-pole SuperSmoother (lowpass filter) to the highpass-filtered data. This filter's critical period defines the shortest wavelength in the passband.
Scale the resulting waveform by its RMS. If the filtered waveform follows a normal distribution, the scaled result represents amplitude in standard deviations.
The oscillator's two-pole filters attenuate cycles outside the desired frequency range by 12 dB per octave. This rate outweighs the apparent rate of amplitude increase for successively longer market cycles (6 dB per octave). Therefore, the Cybernetic Oscillator provides a more robust isolation of cyclic content than conventional oscillators. Best of all, traders can set the periods of the highpass and lowpass filters separately, enabling fine-tuning of the frequency range for different trading styles.
█ USAGE
The "Highpass period" input in the "Settings/Inputs" tab specifies the longest wavelength in the oscillator's passband, and the "Lowpass period" input defines the shortest wavelength. The oscillator becomes more responsive to rapid movements with a smaller lowpass period. Conversely, it becomes more sensitive to trends with a larger highpass period. Ehlers recommends setting the smallest period to a value above 8 to avoid aliasing. The highpass period must not be smaller than the lowpass period. Otherwise, it causes a runtime error.
The "RMS length" input determines the number of bars in the RMS calculation that the indicator uses to normalize the filtered result.
This indicator also features two distinct display styles, which users can toggle with the "Display style" input. With the "Trend" style enabled, the indicator plots the oscillator with one of two colors based on whether its value is above or below zero. With the "Threshold" style enabled, it plots the oscillator as a gray line and highlights overbought and oversold areas based on the user-specified threshold.
Below, we show two instances of the script with different settings on an equities chart. The first uses the "Threshold" style with default settings to pass cycles between 20 and 30 bars for mean reversion signals. The second uses a larger highpass period of 250 bars and the "Trend" style to visualize trends based on cycles spanning less than one year:
Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2–3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices.
Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strength—bright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingView’s Alerts panel, select:
“GD Buy Signal” for standard entries.
“RSI Div + MACD Cross Buy” for reversals.
“VB Buy Signal” for breakout plays.
Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals.
Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%).
Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
SCE GANN PredictionsThis is a script designed to give an insight on price direction from being above or below a GANN Value.
What Are GANN Waves?
The SCE GANN Predictions indicator is inspired by the work of W.D. Gann, a renowned trader who believed that price movements follow geometric and mathematical patterns. GANN waves use past price behavior—specifically momentum or "velocity"—to forecast where prices might head next.
How Does the Indicator Work?
Calculating Velocity
The script starts by measuring the "velocity" of price movement over a user-defined lookback period (denoted as n). This velocity is the average difference between the close and open prices over n bars. Think of it as the market’s speed in a given direction.
Predicting the Future Price
Using this velocity, the indicator estimates a future price after a specific time horizon—calculated as n + n*2 bars into the future (e.g., if n = 15, it predicts 45 bars ahead). It scales the velocity by a ratio (Gr) to determine the "end price." This is the raw GANN prediction.
Optimizing the Ratio (Gr)
The key to a good prediction is finding the right Gr. The script tests a range of Gr values (from Gr_min to Gr_max, stepping by Gr_step) and evaluates each one by calculating the sum of squared errors (SSE) between the predicted prices and the actual historical close prices. The Gr with the lowest SSE is deemed "optimal" and used for the final prediction.
Smoothing with an SMA
The raw GANN prediction is then smoothed using a simple moving average (SMA) over the lookback period (n). This SMA is plotted on your chart, serving as a dynamic trend line. The plot’s color changes based on the current price: teal if the close is above the SMA (bullish), and red if below (bearish).
Visuals
This example shows how the value explains price strength and changes color. When the price is above the line, and it’s green, we’re showing an up trend. The opposite is when the price is below the line, and it’s red, showing a down trend.
We can see that there may be moments where price drops under the value for just that one bar.
In scenarios with sideways price action, even though the price crosses, there is no follow through. This is a shortcoming of the overall concept.
Customizable Inputs
Timeframe: Choose the timeframe for analysis (default is 2 minutes).
Show GANN Wave: Toggle the GANN SMA plot on or off (default is true).
Lookback Period (Gn): Set the number of bars for velocity and SMA calculations (default is 15).
Min Ratio (Gr_min): The lower bound for the Gr optimization (default is 0.05).
Max Ratio (Gr_max): The upper bound for Gr (default is 0.2).
Step for Gr (Gr_step): The increment for testing Gr values (default is 0.01).
How to Use SCE GANN Predictions
Trend Direction
The colored SMA provides a quick visual cue. Teal suggests an uptrend, while red hints at a downtrend. Use this to align your trades with the broader momentum.
Crossover Signals
Watch for the close price crossing the GANN SMA. A move above could signal a buy opportunity, while a drop below might indicate a sell. Combine this with other indicators for confirmation.
Fine-Tuning
Experiment with the lookback period (Gn) and Gr range to optimize for your market. Shorter lookbacks might suit fast-moving assets, while longer ones could work for slower trends.
Like any technical tool, SCE GANN Predictions isn’t a crystal ball. It’s based on historical data and mathematical assumptions, so it won’t always be spot-on.
Quick scan for cycles🙏🏻
The followup for
As I told before, ML based algorading is all about detecting any kind of non-randomness & exploiting it (cuz allegedly u cant trade randomness), and cycles are legit patterns that can be leveraged
But bro would u really apply Fourier / Wavelets / 'whatever else heavy' on every update of thousands of datasets, esp in real time on HFT / nearly HFT data? That's why this metric. It works much faster & eats hell of a less electicity, will do initial rough filtering of time series that might contain any kind of cyclic behaviour. And then, only on these filtered datasets u gonna put Periodograms / Autocorrelograms and see what's going there for real. Better to do it 10x times less a day on 10x less datasets, right?
I ended up with 2 methods / formulas, I called em 'type 0' and 'type 1':
- type 0: takes sum of abs deviations from drift line, scales it by max abs deviation from the same drift line;
- type 1: takes sum of abs deviations from drift line, scales it by range of non-abs deviations from the same drift line.
Finnaly I've chosen type 0 , both logically (sum of abs dev divided by max abs dev makes more sense) and experimentally. About that actually, here are both formulas put on sine waves with uniform noise:
^^ generated sine wave with uniform noise
^^ both formulas on that wave
^^ both formulas on real data
As you can see type 0 is less affected by noise and shows higher values on synthetic data, but I decided to put type 1 inside as well, in case my analysis was not complete and on real data type 1 can actually be better since it has a lil higher info gain / info content (still not sure). But I can assure u that out of all other ways I've designed & tested for quite a time I tell you, these 2 are really the only ones who got there.
Now about dem thresholds and how to use it.
Both type 0 and type 1 can be modelled with Beta distribution, and based on it and on some obvious & tho non mainstream statistical modelling techniques, I got these thresholds, so these are not optimized overfitted values, but natural ones. Each type has 3 thresholds (from lowest to highest):
- typical value (turned off by default). aka basis ;
- typical deviation from typical value, aka deviation ;
- maximum modelled deviation from typical value (idk whow to call it properly for now, this is my own R&D), aka extension .
So when the metric is above one of these thresholds (which one is up to you, you'll read about it in a sec), it means that there might be a strong enough periodic signal inside the data, and the data got to be put through proper spectral analysis tools to confirm / deny it.
If you look at the pictures above again, you'll see gray signal, that's uniform noise. Take a look at it and see where does it sit comparing to the thresholds. Now you just undertand that picking up a threshold is all about the amount of false positives you care to withstand.
If you take basis as threshold, you'll get tons of false positives (that's why it's even turned off by default), but you'll almost never miss a true positive. If you take deviation as threshold, it's gonna be kinda balanced approach. If you take extension as threshold, you gonna miss some cycles, and gonna get only the strongest ones.
More true positives -> more false positives, less false positives -> less true positives, can't go around that mane
Just to be clear again, I am not completely sure yet, but I def lean towards type 0 as metric, and deviation as threshold.
Live Long and Prosper
P.S.: That was actually the main R&D of the last month, that script I've released earlier came out as derivative.
P.S.: These 2 are the first R&Ds made completely in " art-space", St. Petersburg. Come and see me, say wassup🤘🏻
All Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws and sends alerts for all of the harmonic patterns in my public library as they occur. The patterns included are as follows:
• Bearish 5-0
• Bullish 5-0
• Bearish ABCD
• Bullish ABCD
• Bearish Alternate Bat
• Bullish Alternate Bat
• Bearish Bat
• Bullish Bat
• Bearish Butterfly
• Bullish Butterfly
• Bearish Cassiopeia A
• Bullish Cassiopeia A
• Bearish Cassiopeia B
• Bullish Cassiopeia B
• Bearish Cassiopeia C
• Bullish Cassiopeia C
• Bearish Crab
• Bullish Crab
• Bearish Deep Crab
• Bullish Deep Crab
• Bearish Cypher
• Bullish Cypher
• Bearish Gartley
• Bullish Gartley
• Bearish Shark
• Bullish Shark
• Bearish Three-Drive
• Bullish Three-Drive
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Measurement Tolerances
Tolerance refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. I have applied this concept in my pattern detection logic and have set default tolerances where applicable, as perfect patterns are, needless to say, very rare.
Chart Patterns
Generally speaking price charts are nothing more than a series of swing highs and swing lows. When demand outweighs supply over a period of time prices swing higher and when supply outweighs demand over a period of time prices swing lower. These swing highs and swing lows can form patterns that offer insight into the prevailing supply and demand dynamics at play at the relevant moment in time.
‘Let us assume… that you the reader, are not a member of that mysterious inner circle known to the boardrooms as “the insiders”… But it is fairly certain that there are not nearly so many “insiders” as amateur trader supposes and… It is even more certain that insiders can be wrong… Any success they have, however, can be accomplished only by buying and selling… hey can do neither without altering the delicate poise of supply and demand that governs prices. Whatever they do is sooner or later reflected on the charts where you… can detect it. Or detect, at least, the way in which the supply-demand equation is being affected… So, you do not need to be an insider to ride with them frequently… prices move in trends. Some of those trends are straight, some are curved; some are brief and some are long and continued… produced in a series of action and reaction waves of great uniformity. Sooner or later, these trends change direction; they may reverse (as from up to down), or they may be interrupted by some sort of sideways movement and then, after a time, proceed again in their former direction… when a price trend is in the process of reversal… a characteristic area or pattern takes shape on the chart, which becomes recognisable as a reversal formation… Needless to say, the first and most important task of the technical chart analyst is to learn to know the important reversal formations and to judge what they may signify in terms of trading opportunities’ (Edwards & Magee, 1948).
This is as true today as it was when Edwards and Magee were writing in the first half of the last Century, study your patterns and make judgements for yourself about what their implications truly are on the markets and timeframes you are interested in trading.
Over the years, traders have come to discover a multitude of chart and candlestick patterns that are supposed to pertain information on future price movements. However, it is never so clear cut in practice and patterns that where once considered to be reversal patterns are now considered to be continuation patterns and vice versa. Bullish patterns can have bearish implications and bearish patterns can have bullish implications. As such, I would highly encourage you to do your own backtesting.
There is no denying that chart patterns exist, but their implications will vary from market to market and timeframe to timeframe. So it is down to you as an individual to study them and make decisions about how they may be used in a strategic sense.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements. The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
█ INPUTS
• Change pattern and label colours
• Show or hide patterns individually
• Adjust pattern tolerances
• Set or remove alerts for individual patterns
█ NOTES
You can test the patterns with your own strategies manually by applying the indicator to your chart while in bar replay mode and playing through the history. You could also automate this process with PineScript by using the conditions from my swing and pattern libraries as entry conditions in the strategy tester or your own custom made strategy screener.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ SOURCES
Edwards, R., & Magee, J. (1948) Technical Analysis of Stock Trends (10th edn). Reprint, Boca Raton, Florida: Taylor and Francis Group, CRC Press: 2013.
Empirical Kaspa Power Law Full Model v3.1🔶 First we need to understand what Power Laws are.
Power laws are mathematical relationships where one quantity varies as a power of another. They are prevalent in both natural and social systems, describing phenomena such as earthquake magnitudes, word frequencies, and wealth distributions. In a power-law relationship, a change in one quantity results in a proportional change in another, typically following a consistent and predictable mathematical pattern.
🔶 Why Do Power Laws work for Bitcoin and Kaspa?
Power laws work for Bitcoin and Kaspa due to the underlying principles of network dynamics and growth patterns that these cryptocurrencies exhibit. Here's how:
1. Network Growth and User Adoption:
Both Bitcoin and Kaspa grow as more users join their networks. The value of these networks often increases in a manner consistent with Metcalfe’s Law, which states that the value of a network is proportional to the square of its number of users. This relationship is a form of a power law, where network effects lead to exponential growth as more users participate.
2. Mining and Hash Rate:
The mining difficulty and hash rate in cryptocurrencies like Bitcoin and Kaspa adjust based on network activity. As more miners join, the difficulty increases to maintain a stable rate of block production. This self-adjusting mechanism creates feedback loops that can be described by power laws, ensuring the stability and security of the network over time.
3. Price Behavior:
Astrophysicist Giovanni Santostasi discovered that Bitcoin’s price follows a power-law distribution over time. This means that despite short-term volatility, Bitcoin’s long-term price behavior is predictable and adheres to specific mathematical patterns. Santostasi's model provides a framework for understanding Bitcoin’s price movements and forecasting future trends. He also discovered that Kaspa might be following a power-law aswell but it might be to early to tell because Kaspa hasn't been around for too long(2years).
4. Resource Allocation and System Stability:
As the price of Bitcoin or Kaspa increases, more resources are allocated to mining, leading to more sophisticated mining operations. This iterative process of investment and technological advancement follows a power-law pattern, driving the growth and stability of the network.
In summary, the application of power laws to Bitcoin and Kaspa offers a structured framework for understanding their price movements, network growth, and overall stability. These principles provide valuable predictive tools for long-term forecasting, helping to explain the dynamic behavior of these cryptocurrencies.
🔶 What does it look like on a chart?
Here is the Kaspa power law plotted on the KaspaUSD chart. Notice that the y-axis is in logarithmic scale. Unfortunately, TradingView does not allow the x-axis to be in logarithmic scale, which would otherwise make the power law appear as a straight line.
🔶 All the features of the Empirical Kaspa Power Law Full Model
This indicator includes a variety of scripts and tools, meticulously designed and developed to navigate the Kaspa market effectively.
🔹 Power Law & Deviation bands
The decision to use the lower two bands, marking an area between -40% to -50% below the power law, is based on historical analysis. Historically, this range has proven to be a great buying opportunity. In the case of Bitcoin, the bottom typically lies around -60% from the power law. However, for Kaspa, the bottom appears to be less distant from the power law. This discrepancy can be attributed to the differing supply dynamics of the two. Bitcoin undergoes a halving event approximately every four years, significantly reducing the rate at which new coins are introduced into circulation. This cyclical halving can lead to larger price fluctuations and a greater deviation from the power law. In contrast, Kaspa employs a more gradual reduction in its emission rate, with a 5% decrease each month. This consistent and incremental reduction helps Kaspa's price follow the power law more closely, resulting in less pronounced deviations. Consequently, the bottom for Kaspa tends to be closer to the power law, typically around -40% to -50%, rather than the -60% observed with Bitcoin.
The top two deviation bands are fitted to a few bubble data points, which are honestly not very reliable compared to the bottom bands that are based on a larger number of data points. When examining Bitcoin, we see that the bottoms are quite predictable due to the availability of thousands of data points, making it easier to identify patterns and trends.
However, predicting the tops is significantly more challenging because we lack a substantial amount of data for the peaks. This limited data makes it difficult to draw reliable conclusions about the upper deviation bands. As a result, while the bottom bands offer a robust framework for analysis, the top bands should be approached with caution due to their lesser reliability.
🔹 Alternating Sine wave
In observing the price behavior of Kaspa, an intriguing pattern emerges: it tends to follow a roughly four-month cycle. This cycle appears to alternate between smaller and larger waves. To capture this pattern, the sine wave in our indicator is designed to follow the power law, with both the top and bottom of the wave adjusting according to it.
Here's a simple explanation of how this works:
1. Four-Month Cycle: Empirically, Kaspa’s price seems to oscillate over approximately 120 days. This cycle includes periods of growth and decline, repeating every four months. Within these cycles, we observe alternating phases one smaller and one larger in amplitude.
2. Power Law Influence: The sine wave component of our indicator is not arbitrary; it follows a power law that predicts the general price trend of Kaspa. The power law essentially provides a baseline that reflects the longer-term price trajectory.
3. Diminishing Returns and Smoothing: To model diminishing returns, we adjust the amplitude of the sine wave over time, making it smaller as the cycle progresses. This helps to capture the natural tendency for price movements to become less volatile over longer periods. Additionally, the bottom of the sine wave adheres to the power law, ensuring it remains consistent with the overall trend.
🔹 Sine wave Cycle Start & End
Color transitions play a crucial role in visualizing different phases of the four-month cycle.
Based on empirical data, Kaspa experiences approximately 60 days of downward price action following each cycle peak, a period we refer to as the bear phase. This phase is followed by the bull phase, which also lasts around 60 days. To indicate the cycle peak, we have added a colored warning on the sine wave.
Cycle Start (Purple): The sine wave starts with a purple color, marking the beginning of a new cycle. This bull phase often represents a potential bottom or accumulation zone where prices are lower and stable, offering a strategic point for entering the market.
Cycle Top (Red): As the cycle progresses, the sine wave transitions through colors until it reaches red. This red phase indicates the top of the cycle, where the price is likely peaking. It's a critical area for investors to consider dollar-cost averaging (DCA) out of Kaspa, as it signifies a period of potential overvaluation and heightened risk.
These color transitions provide a visual guide to the market's cyclical nature, helping investors identify optimal entry and exit points. By following the sine wave's color changes, you can better time your investments, entering at the start of the cycle and considering exits as the cycle tops out.
🔹 Colored Deviation from the Power Law Bubbles
In trading, having a clear visual signal can significantly enhance decision-making, especially when dealing with complex models like power laws. This inspired the creation of the "deviation bubbles" in my indicator, which provides an intuitive, color-coded visual queue to help me, and other traders, better grasp market deviations and make timely trading decisions.
Here's a breakdown of how the deviation bubbles work:
1. Power Law Reference: The core of the indicator calculates a theoretical price level (the power law price) for Kaspa.
2. Deviation Calculation: For each day, the indicator computes the percentage deviation of the actual closing price from this power law price. This tells how much the market price diverges from the theoretically expected level.
3. Color-Coding Based on Deviation:
The deviation is categorized into various ranges (e.g., ≥ 100%, 90-100%, 80-90%, etc.).
Each range is assigned a distinct color, from red for extreme positive deviations to blue for extreme negative deviations.
This gradient helps in quickly identifying significant market deviations.
By integrating these bubbles into the chart, the indicator offers a simple yet powerful visual tool, aiding in recognizing critical market conditions without the need to delve into complex calculations manually. This approach not only enhances the ease of trading but also helps in overcoming the hesitation often faced when pulling the trigger on trades.
🔹 Projected Power Law Bands
Extends the current power law bands into the future using the same formula that defines the current power law.
Visual Representation: Dotted lines on the chart indicate the projected power law price and deviation bands.
Limitations: TradingView restricts how far these projections can extend, typically up to a reasonable future period.
These projected bands help anticipate future price movements, aiding in more informed trading decisions.
🔹 Projected Sine Wave
This projection continues to calculate the phase and amplitude, adjusting for diminishing returns and cycle transitions. It also estimates the future power law price, ensuring the projection reflects potential market dynamics.
Visual Representation: The projected sine wave is shown with dotted blue lines, providing a clear visual of the expected trend, aiding traders in their decision-making process.
Limitations: Again, TradingView restricts how far these projections can extend, typically up to a reasonable future period.
🔶 Why are all these different scripts made into one indicator?
As a trader and crypto analyst, I needed specific tools and customizations that no other indicator offered. Being a visual person, I rely heavily on visual triggers such as colors and patterns to make trading decisions. Initially, I developed this indicator for my personal use to enhance my market analysis with these visual cues. However, after sharing my insights, other traders expressed interest in using it. In response, I expanded the functionality and added various options to cater to a broader range of users.
This comprehensive indicator integrates multiple features into one tool, providing a powerful and flexible solution for analyzing market trends and making informed trading decisions. The use of colors and visual elements helps in quickly identifying key signals and market phases. The customizable options allow you to fine-tune the indicator to suit your specific needs, making it a versatile tool for both novice and experienced traders.
🔶 Usage & Settings:
This indicator is best used on the Daily chart for KASUSD - crypto because it uses a power law formula based on days.
🔹 Using the Indicator for 4-Month Cycles:
For traders interested in playing the 4-month cycles, this indicator provides a straightforward strategy. When the bubbles turn purple or the sine wave shows the purple start color, it signals a good time to dollar-cost average (DCA) into the market. Conversely, when the bubbles turn red or the cycle top is near, indicated by a red color, it’s time to DCA out of the Kaspa market. This visual approach helps traders make timely decisions based on color-coded signals, simplifying the trading process.
Historically, it was nearly impossible to accurately time all the 4-month cycle tops because they alternate each time. Without the combination of multiple scripts in this indicator, identifying these cyclical patterns and their respective peaks was extremely challenging. This integrated tool now provides a clear and reliable method for detecting these critical points, enhancing trading effectiveness.
🔹 Combining the visual queues for market extremes
The chart above illustrates the alignment of visual cues indicating market extremes. Notably, these visual cues—marked by red and purple boxes—historically pinpoint areas of extreme value or opportunities. When red aligns with red and purple aligns with purple, these zones have consistently indicated significant market extremes.
Understanding and recognizing these patterns provides a strategic advantage. By identifying these visual triggers, traders can plan and execute informed trades with greater confidence whenever similar scenarios unfold in the future.
Kaspa is perhaps one of the most cyclical and predictable cryptocurrencies in the market. Given its consistent behavior, traders might wonder why they would trade anything else. As long as there are no signs indicating a change in Kaspa's cyclical nature, there is no reason to make significant alterations to our predictions. This makes Kaspa an attractive option for traders seeking reliable and repeatable trading opportunities.
🔹 Settings & customization:
As a visually-oriented trader, it is essential to customize the appearance of indicators to effectively navigate the Kaspa market. The Indicator offers extensive customization options, allowing users to modify the colors of various elements to suit their preferences. For example, users can adjust the colors of the deviation bubbles, deviation bands, sine wave, and power law to enhance visual clarity and focus on specific data points. This level of personalization not only enhances the overall user experience but also ensures that the visual representation aligns with unique trading strategies, making it easier to interpret complex market data.
Additionally, users can change the power law inputs and other parameters as shown in the image. For instance, the Power Law Intercept and Power Law Slope can be manually adjusted, allowing traders to update these values. This flexibility is crucial as the future power law for Kaspa may evolve/change.
🔶 Limitations
Like any technical analysis tool, the Empirical Kaspa Power Law Full Model indicator has limitations. It's based on historical data, which may not always accurately predict future market movements.
🔶 Credits
I want to thank Dr. Giovanni Santostasi · Professor of physics and Mathematics.
He was one of the first who applied the concept of the power law to Bitcoin's price movements, which has been instrumental in providing insights into the long-term growth and potential future value of Bitcoin. Giovanni also offers coding classes on his Discord, which I attended. He personally taught me how to code specific things in Pine Editor and Python, sparking my interest in developing my own indicator.
Additionally, I would like to extend my gratitude to the following individuals for their invaluable contributions in terms of ideas, theories, formulas, testing, and guidance:
Forgowork, PlanC, Miko Genno, Chancellor, SavingFace, Kaspapero, JJ Venema.
