Vasyl Ivanov | Order BlocksOrder Blocks Indicator for Long-Term Traders and Scalpers
This indicator is designed to identify order blocks (OBs) across multiple timeframes, offering flexible and adaptable detection mechanisms for both strong and weaker price movements.
Key Features:
Flexible OB Detection:
Detects order blocks with 3 candles during strong movements.
Detects order blocks with 4 candles during weaker movements.
Identifies the highest or lowest extremum between the 1st and 2nd candles to define the starting point of the OB, ensuring accuracy in ranging and trending markets.
In cases where the 2nd candle's extremum is the highest/lowest, the OB size adjusts accordingly.
Multi-Timeframe Analysis:
This indicator enables seamless multi-timeframe order block analysis, removing the need to manually switch between timeframes.
Timeframe mapping:
For intraday and lower timeframes:
< 5 min maps to 30 min
<= 15 min maps to 1 hour
<= 1 hour maps to 4 hours
All other intraday maps to 1 day
Daily charts and higher map to 1 week
This automatic adjustment lets you view both current and parent timeframe order blocks without hassle.
Customizable Backtest Analysis:
The indicator includes a "Show/Hide Overlapped Order Blocks" feature, allowing you to hide order blocks that have already been overlapped. This feature aids in backtesting and historical analysis by offering a cleaner view of how past price action interacted with detected blocks.
Color Differentiation by Timeframe:
Customize different colors for local and parent timeframes to easily differentiate order blocks from various timeframes at a glance.
Candle Wicks Customization:
The 'Use Candle Wicks' option allows you to include or exclude candle wicks in OB detection, giving you flexibility in how the blocks are drawn based on your trading style.
How It Works:
This indicator detects key price zones based on order block patterns, which are often followed by significant price moves. By analyzing these blocks across multiple timeframes, it helps traders identify potential reversal areas and support/resistance zones more effectively.
Use Cases:
Scalping: Scalpers can benefit from the rapid detection of short-term OBs to make quick decisions based on high-probability setups.
Long-Term Trading: Longer-term traders can use the multi-timeframe feature to spot higher timeframe OBs while trading lower timeframes, allowing for better alignment with major market movements.
Why It’s Unique:
Unlike other OB indicators, this one combines multi-timeframe detection with customizable OB sizing, extremum detection, and color-coding for clear differentiation between timeframes. Its backtest feature enhances historical analysis, providing a comprehensive toolkit for traders aiming to improve decision-making.
ค้นหาในสคริปต์สำหรับ "scalping"
Machine Learning Signal FilterIntroducing the "Machine Learning Signal Filter," an innovative trading indicator designed to leverage the power of machine learning to enhance trading strategies. This tool combines advanced data processing capabilities with user-friendly customization options, offering traders a sophisticated yet accessible means to optimize their market analysis and decision-making processes. Importantly, this indicator does not repaint, ensuring that signals remain consistent and reliable after they are generated.
Machine Learning Integration
The "Machine Learning Signal Filter" employs machine learning algorithms to analyze historical price data and identify patterns that may not be immediately apparent through traditional technical analysis. By utilizing techniques such as regression analysis and neural networks, the indicator continuously learns from new data, refining its predictive capabilities over time. This dynamic adaptability allows the indicator to adjust to changing market conditions, potentially improving the accuracy of trading signals.
Key Features and Benefits
Dynamic Signal Generation: The indicator uses machine learning to generate buy and sell signals based on complex data patterns. This approach enables it to adapt to evolving market trends, offering traders timely and relevant insights. Crucially, the indicator does not repaint, providing reliable signals that traders can trust.
Customizable Parameters: Users can fine-tune the indicator to suit their specific trading styles by adjusting settings such as the temporal synchronization and neural pulse rate. This flexibility ensures that the indicator can be tailored to different market environments.
Visual Clarity and Usability: The indicator provides clear visual cues on the chart, including color-coded signals and optional display of signal curves. Users can also customize the table's position and text size, enhancing readability and ease of use.
Comprehensive Performance Metrics: The indicator includes a detailed metrics table that displays key performance indicators such as return rates, trade counts, and win/loss ratios. This feature helps traders assess the effectiveness of their strategies and make data-driven decisions.
How It Works
The core of the "Machine Learning Signal Filter" is its ability to process and learn from large datasets. By applying machine learning models, the indicator identifies potential trading opportunities based on historical data patterns. It uses regression techniques to predict future price movements and neural networks to enhance pattern recognition. As new data is introduced, the indicator refines its algorithms, improving its accuracy and reliability over time.
Use Cases
Trend Following: Ideal for traders seeking to capitalize on market trends, the indicator helps identify the direction and strength of price movements.
Scalping: With its ability to provide quick signals, the indicator is suitable for scalpers aiming for rapid profits in volatile markets.
Risk Management: By offering insights into trade performance, the indicator aids in managing risk and optimizing trade setups.
In summary, the "Machine Learning Signal Filter" is a powerful tool that combines the analytical strength of machine learning with the practical needs of traders. Its ability to adapt and provide actionable insights makes it an invaluable asset for navigating the complexities of financial markets.
The "Machine Learning Signal Filter" is a tool designed to assist traders by providing insights based on historical data and machine learning techniques. It does not guarantee profitable trades and should be used as part of a comprehensive trading strategy. Users are encouraged to conduct their own research and consider their financial situation before making trading decisions. Trading involves significant risk, and it is possible to lose more than the initial investment. Always trade responsibly and be aware of the risks involved.
Uptrick: MultiTrend Squeeze System**Uptrick: MultiTrend Squeeze System Indicator: The Ultimate Trading Tool for Precision and Versatility 📈🔥**
### Introduction
The MultiTrend Squeeze System is a powerful, multi-faceted trading indicator designed to provide traders with precise buy and sell signals by combining the strengths of multiple technical analysis tools. This script isn't just an indicator; it's a comprehensive trading system that merges the power of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum to give you an unparalleled edge in the market. Whether you're a day trader looking for short-term opportunities or a swing trader aiming to catch longer-term trends, this indicator is tailored to meet your needs.
### Key Features and Unique Aspects
1. **SuperTrend with Dynamic Adjustments 📊**
- **Adaptive SuperTrend Calculation:** The SuperTrend is a popular trend-following indicator that adjusts dynamically based on market conditions. It uses the Average True Range (ATR) to calculate upper and lower bands, which shift according to market volatility. This script takes it further by combining it with the RSI and Volume filtering to provide more accurate signals.
- **Direction Sensitivity:** The SuperTrend here is not static. It adjusts based on the direction of the previous SuperTrend value, ensuring that the indicator remains relevant even in choppy markets.
2. **RSI Integration for Overbought/Oversold Conditions 💹**
- **RSI Calculation:** The Relative Strength Index (RSI) is incorporated to identify overbought and oversold conditions, adding an extra layer of precision. This helps in filtering out false signals and ensuring that trades are taken only in optimal conditions.
- **Customizable RSI Settings:** The RSI settings are fully customizable, allowing traders to adjust the RSI length and the overbought/oversold levels according to their trading style and market.
3. **Volume Filtering for Enhanced Signal Confirmation 📉**
- **Volume Multiplier:** This unique feature integrates volume analysis, ensuring that signals are only generated when there is sufficient market participation. The Volume Multiplier can be adjusted to filter out weak signals that occur during low-volume periods.
- **Optional Volume Filtering:** Traders have the flexibility to turn the volume filter on or off, depending on their preference or market conditions. This makes the indicator versatile, allowing it to be used across different asset classes and market conditions.
4. **Squeeze Momentum Indicator (SMI) for Market Pressure Analysis 💥**
- **Squeeze Detection:** The Squeeze Momentum Indicator detects periods of market compression and expansion. This script goes beyond the traditional Bollinger Bands and Keltner Channels by incorporating true range calculations, offering a more nuanced view of market momentum.
- **Customizable Squeeze Settings:** The lengths and multipliers for both Bollinger Bands and Keltner Channels are customizable, giving traders the flexibility to fine-tune the indicator based on their specific needs.
5. **Visual and Aesthetic Customization 🎨**
- **Color-Coding for Clarity:** The indicator is color-coded to make it easy to interpret signals. Bullish trends are marked with a vibrant green color, while bearish trends are highlighted in red. Neutral or unconfirmed signals are displayed in softer tones to reduce noise.
- **Histogram Visualization:** The primary trend direction and strength are displayed as a histogram, making it easy to visualize the market's momentum at a glance. The height and color of the bars provide immediate feedback on the strength and direction of the trend.
6. **Alerts for Real-Time Trading 🚨**
- **Custom Alerts:** The script is equipped with custom alerts that notify traders when a buy or sell signal is generated. These alerts can be configured to send notifications through various channels, including email, SMS, or directly to the trading platform.
- **Immediate Reaction:** The alerts are triggered based on the confluence of SuperTrend, RSI, and Volume signals, ensuring that traders are notified only when the most robust trading opportunities arise.
7. **Comprehensive Input Customization ⚙️**
- **SuperTrend Settings:** Adjust the ATR length and factor to control the sensitivity of the SuperTrend. This allows you to adapt the indicator to different market conditions, whether you're trading a volatile cryptocurrency or a more stable stock.
- **RSI Settings:** Customize the RSI length and thresholds for overbought and oversold conditions, enabling you to tailor the indicator to your specific trading strategy.
- **Volume Settings:** The Volume Multiplier and the option to toggle the volume filter provide an additional layer of customization, allowing you to fine-tune the indicator based on market liquidity and participation.
- **Squeeze Momentum Settings:** The lengths and multipliers for Bollinger Bands and Keltner Channels can be adjusted to detect different levels of market compression, providing flexibility for both short-term and long-term traders.
### How It Works: A Deep Dive Into the Mechanics 🛠️
1. **SuperTrend Calculation:**
- The SuperTrend is calculated using the ATR, which measures market volatility. The indicator creates upper and lower bands around the price, adjusting these bands based on the current level of market volatility. The direction of the trend is determined by the position of the price relative to these bands.
- The script enhances the standard SuperTrend by ensuring that the bands do not flip-flop too quickly, reducing the chances of false signals in a choppy market. The direction is confirmed by checking the position of the close relative to the previous band, making the trend detection more reliable.
2. **RSI Integration:**
- The RSI is calculated over a customizable length and compared to user-defined overbought and oversold levels. When the RSI crosses below the oversold level, and the SuperTrend indicates a bullish trend, a buy signal is generated. Conversely, when the RSI crosses above the overbought level, and the SuperTrend indicates a bearish trend, a sell signal is triggered.
- The combination of RSI with SuperTrend ensures that trades are only taken when there is a strong confluence of signals, reducing the chances of entering trades during weak or indecisive market phases.
3. **Volume Filtering:**
- The script calculates the average volume over a 20-period simple moving average. The volume filter ensures that buy and sell signals are only valid when the current volume exceeds a multiple of this average, which can be adjusted by the user. This feature helps filter out weak signals that might occur during low-volume periods, such as just before a major news event or during after-hours trading.
- The volume filter is particularly useful in markets where volume spikes are common, as it ensures that signals are only generated when there is significant market interest in the direction of the trend.
4. **Squeeze Momentum:**
- The Squeeze Momentum Indicator (SMI) adds a layer of market pressure analysis. The script calculates Bollinger Bands and Keltner Channels, detecting when the market is in a "squeeze" — a period of low volatility that typically precedes a significant price move.
- When the Bollinger Bands are inside the Keltner Channels, the market is in a squeeze (compression phase). This is often a precursor to a breakout or breakdown. The script colors the histogram bars black during this phase, indicating a potential for a strong move. Once the squeeze is released, the bars are colored according to the direction of the SuperTrend, signaling a potential entry point.
5. **Integration and Signal Generation:**
- The script brings together the SuperTrend, RSI, Volume, and Squeeze Momentum to generate highly accurate buy and sell signals. A buy signal is triggered when the SuperTrend is bullish, the RSI indicates oversold conditions, and the volume filter confirms strong market participation. Similarly, a sell signal is generated when the SuperTrend is bearish, the RSI indicates overbought conditions, and the volume filter is met.
- The combination of these elements ensures that the signals are robust, reducing the likelihood of entering trades during weak or indecisive market conditions.
### Practical Applications: How to Use the MultiTrend Squeeze System 📅
1. **Day Trading:**
- For day traders, this indicator provides quick and reliable signals that can be used to enter and exit trades multiple times within a day. The volume filter ensures that you are trading during the most liquid times of the day, increasing the chances of successful trades. The Squeeze Momentum aspect helps you catch breakouts or breakdowns, which are common in intraday trading.
2. **Swing Trading:**
- Swing traders can use the MultiTrend Squeeze System to identify longer-term trends. By adjusting the ATR length and factor, you can make the SuperTrend more sensitive to catch longer-term moves. The RSI and Squeeze Momentum aspects help you time your entries and exits, ensuring that you get in early on a trend and exit before it reverses.
3. **Scalping:**
- For scalpers, the quick signals provided by this system, especially in combination with the volume filter, make it easier to take small profits repeatedly. The histogram bars give you a clear visual cue of the market's momentum, making it easier to scalp effectively.
4. **Position Trading:**
- Even position traders can benefit from this indicator by using it to confirm long-term trends. By adjusting the settings to less sensitive parameters, you can ensure that you are only entering trades when a strong trend is confirmed. The Squeeze Momentum indicator will help you stay in the trade during periods of consolidation, waiting for the next big move.
### Conclusion: Why the MultiTrend Squeeze System is a Game-Changer 🚀
The MultiTrend Squeeze System is not just another trading indicator; it’s a comprehensive trading strategy encapsulated within a single script. By combining the power
of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum, this indicator provides a robust and versatile tool that can be adapted to various trading styles and market conditions.
**Why is it Unique?**
- **Multi-Dimensional Analysis:** Unlike many other indicators that rely on a single data point or calculation, this script incorporates multiple layers of analysis, ensuring that signals are based on a confluence of factors, which increases their reliability.
- **Customizability:** The vast range of input settings allows traders to tailor the indicator to their specific needs, whether they are trading forex, stocks, cryptocurrencies, or commodities.
- **Visual Clarity:** The color-coded bars, labels, and signals make it easy to interpret the market conditions at a glance, reducing the time needed to make trading decisions.
Whether you are a novice trader or an experienced market participant, the MultiTrend Squeeze System offers a powerful toolset to enhance your trading strategy, reduce risk, and maximize your potential returns. With its combination of trend analysis, momentum detection, and volume filtering, this indicator is designed to help you trade with confidence and precision in any market condition.
Pivot Points ++The Pivot Points is a classical indicator that aims to assess the Location in which a market is trading and infer hints about its directional movement. Its concept idea has been evolving along the XX century, tracing back to traders like Jesse Livermore, Nicholas Darvis, William O’Neil and Mark Minervini.
This is a Leading Indicator which computes a series of key levels that might act as Support and Resistance over the selected time frame period.
This version of the Pivot Points delivers a convenient way to visualize its information. It’s been designed for it to be useful to a variety of trading styles: from the ones that use it to detect reversal points, to the ones that gauge the market at a single glance.
HOW TO READ THE PIVOT POINTS
Pivot Points set a series of price levels which remain constant through the time period (which could be: daily, weekly, monthly, yearly or multi-yearly).
At the beginning of a new time period, it calculates the main Pivot Point Level (PP), and depending on the type, it can compute up to 5 Support Levels (S1 to S5) and 5 Resistance Levels (R1 to R5).
Being such a universal indicator, there exist many ways of reading the Pivot Levels. Now, let’s see some common uses of the indicator.
Warning: Please don’t rely on a single indicator to make your trading decisions, but rather integrate it into a coherent system combining it with complementary signals.
Support and Resistance : This is a straightforward approach. Each Pivot Level may act as Support or Resistance. For instance the level S1 initially behaves as Support. As price gets closer, one may observe that the level is being respected and price bounces around the level. Or in case it would get broken, then it would automatically shift its role into a Resistance Level.
Mood Gauge : One can quickly gauge the mood of the market by seeing where price stands in relation to the Main Pivot Point Level (PP). Above the Pivot point is generally interpreted as bullish, whilst standing below implies a bearish tone.
Stop Loss and Profit Levels : When entering on a trade, one can use the Pivot Levels to set the Stop Loss behind it, or set the Take Profit in an area surrounding it.
Agreement with Fibonacci Retracements or Expansions : One can combine the power of these 2 leading indicators in search for Agreement areas where to find both a significant Pivot Level and a Relevant Fibonacci Level.
Volume or Volatility Squeezes : Some traders focus on the Pivot Levels in combination with Volume or Volatility readings, in order to anticipate turning points or continuation legs.
WHY WOULD YOU BE INTERESTED IN THIS INDICATOR?
Pivot Points ++ has been designed to address the needs of dedicated traders. Let’s review its main features.
Display up to 9 sets of Pivot Points simultaneously
Long term view: As an analyst and as a trader, being able to display many sets of Pivot Points simultaneously is of great advantage when assessing long term views on the market.
Pivot Levels clearly Identified: Each set of Pivot Points get clearly identified with a prefaced letter indicating its time frame, i.e. Yearly Pivot Point appears as YPP and Monthly Pivot Resistance 1 appears as MR1 .
Minimalistic coloring: The Main Pivot Levels are highlighted in color to stand out, yet the intention of the indicator is to be as minimalistic and keep the chart as clean as possible.
Display Pivots as a Panel
Panel View: Display the Pivot Points’ information in the way that better suits your charting style. In addition to displaying the lines over the price chart, the indicator allows displaying the data on a Panel. The Panel view can be used together with the Line view, or it can be used in isolation.
Fully customizable: Its location, size and its design parameters can be customized through the Settings tab.
Common sense formatting: It displays a column for each of the selected time frames, and a row for each of the selected Pivot Levels. When a Pivot Level displays in colors, it means that price is currently trading above (green) or below (red) that level. Moreover, when the current price is trading just near the Pivot Level, the color shifts to Dark Red when it’s acting as a Resistance, and Dark Green when it acts as Support.
Keep your Chart Clean!
Disciplined traders keep their charts clean. One needs proper focus to trade in the zone.
Please check how the chart on the left looks compared to the one on the right. Both display exactly the same Pivot Points.
The chart on the left contributes to a more minimalistic display of information, as for when a trader wishes to quickly check where the price is trading in relation to the Pivot Points. Moreover, the chart on the right has the advantage to display clearly the Reversals and Price Reactions in relation to the Pivot Points. The decision is yours.
Show only Pivots Relevant to the Current Time Frame
The sets of Pivot Points belonging to time frames Below or Near the current Time Frame get hidden to prevent overcrowding the chart with lines. Nevertheless, this feature can be disabled through the Settings tab.
These are the preset Time Frames:
Intraday/Scalping: Those operating on time frames below 1H will be able to see the whole range of Pivot Levels.
1H: Traders operating on 1-Hour Charts display Pivots from Weekly and above. Daily Pivot Points get hidden.
4H: On 4-Hour Charts, Monthly Pivots and above get displayed. Weekly Pivot Points get hidden.
D: On Daily Charts, Quarterly Pivots and above get displayed. Monthly Pivot Points get hidden.
W: On Weekly Charts, Yearly Pivots and above get displayed. Quarterly Pivot Points get hidden.
M: On Monthly Charts, Tri-Yearly Pivots and above get displayed. Yearly and Bi-Yearly Pivot Points get hidden.
3M and 12M: Above Monthly Charts, only Decennial Pivots get displayed. All the rest get hidden.
Good Looking right off the box
It looks good: The indicator will look just fine on most of the charts. It displays well on dark themed charts and on light themed charts. No need to mess up with the coloring of the indicator for it to display properly.
Fully customizable: Nevertheless, you can easily override the defaults and customize the Colors and Line Styles for each Pivot Level.
Displays True on Heikin Ashi Charts
That’s good news for scalpers, because Pivot Points get computed correctly even when being displayed over Heiken Ashi charts.
SETTINGS
Now let’s dive into the settings of this indicator.
Display : It allows to enable/disable the display of the following:
Lines and Panel : Switch on/off the general view of the Lines over the chart or the Panel.
Pivot, R1 to R5, S1 to S5 : Select which Pivot Levels will be displayed.
Labels and Price : It applies only to Lines. Allows to select which information to display near the Pivot Level, and whether to place it right or left of the line.
Auto Hide Pivots from Near Time Frames : By default it hides the sets of Pivot Points from time frames near the current one. Disabling this one allows to display all the Pivot Points from higher time frames, regardless whether they are near.
Move Pivots to the Right : This selection moves all the current Pivot Points to the Right Hand Side of the Chart, in order to keep the main area of the chart clean of lines. This setting allows customizing the how far to the right from the last candle (Offset) and how wide to draw the levels (Width).
Pivots : It sets up the conditions for each of the 9 sets of Pivot Levels. It includes the following:
General checkmark : Allows displaying or hiding that set of Pivots.
Time Frame : Select the time frame for which the Pivot Point will be computed.
Type : Select the type of Pivot Point: Traditional, Fibonacci, Woodie, Classic, DM or Camarilla.
Lines : Enable/Disable the display of this Pivot as Lines over the chart.
Panel : Enable/Disable the display of this Pivot in the Panel.
Panel Display : It allows customizing the position of the Panel. It includes the following:
Vertical Position : Top, Middle or Bottom of the chart.
Horizontal Position : Left, Center or Right of the chart.
Size of the Panel : Auto, Huge, Large, Normal, Small or Tiny.
Parameters : It applies only to the Line View. It includes the following:
Pivots Back : By default the indicator only shows the current Pivot Levels, but it can display up to 10 past instances of each pivot.
Support and Resistance Price Reference : It allows to specify which price should it take into account to define a Pivot Level acting as Support or Resistance.
Support and Resistance % Area : It defines the size of the zone around each Pivot Level in which it acts as Support or Resistance.
Theming Panel : It applies only to the Panel View. It allows customizing every color used in the Panel.
Theming Pivot #1 to #9 : It applies only to the Line View. It includes the following:
Thickness : Customize the line thickness for all the lines within that set of Pivot Points.
Style : Customize the line style for all the lines within that set of Pivot Points. It can be drawn as a Solid, Dotted or Dashed line.
Colors : Customize the color for each Pivot Level.
VIPER DOPING - A Volume Profile to estimate trend probabilityDESCRIPTION :
VIPER DOPING uses volume analysis to help trader to understand trading keys below:
Support and Resistance
Profit and Loss
Estimate candle direction
Trend
Biggest Buy and Sell on level prices
HOW TO USE:
The volume bar will have buy and sell colors, by default the buy color is blue and the sell is red. The size of bar is important matter, the biggest bar size means that price level has strong volume or transaction and the smallest bar size indicates the lowest transaction or volume. How to read it?
The bar above the candle is the resistance
The bar below the candle is the support
If you want long the market, find the biggest or bigger support, which is below the candle
If you want short the market, find the biggest or bigger resistance which is above the candle
Trading style and the maximum range (total candle), default is 60. This setup to analyze volumes in specific candle range. Please check the following recommendation based on trading style:
Scalping: 30 - 60 candles, recommendation timeframe: 5m - 1h
Day Trading: 50 - 120 candles, recommendation timeframe: 30m - 4h
Swing Trading: 100- 240 candles, recommendation timeframe: 1h- 3D
The white box is to visualize trading area by total candle. Every line has the meaning:
The left line is the start candle
The right line is the end candle
The top line is the highest price of volume profile
The bottom line is the lowest price of volume profile
The fibonacci line will help you to confirm and compare of supports and resistances with the volume profile lines.
The TABLE CELLS
it contains information to help trader to understand the recent situation of market and to take strategy of trading:
Total Candle : the maximum candles are used to analyze the volume from previous active candle
Biggest Sell : the horizontal price area which has the largest of sell volume of the last total candle
Biggest Buy : the horizontal price area which has the largest of buy volume of the last total candle
Buy Rate : the ratio of buy and sell volume of the last total candle
Support: the closest price to be the support from the active candle, auto changed if support to be invalid
Resistance : the closest price to be the resistance from the active candle, auto changed if support to be invalid
PnL : the percentage profit if you trade using the support and resistance prices and it can be used for Risk Management. Wisely the risk is 50% of the profit, example if the profit 1% the your risk should be 0.5% from entry.
Estimate : to analize the next direction of candle or target, it will be changed automatically by volume condition.
CONFIGURATION:
Table Position : You can change the table position to top or bottom, to left, right or center
Calculation : You can include the active candle in volume calculation or you can choose the behind active candle. If you use active candle, there could be possible repainting.
The volume profile configuration is about appearance configuration, to setup the thickness, colors, position.
The fibonacci configuration is about appearance configuration, to setup the thickness, extend lines, label styles.
Price action: Trendline Break StrategyThis strategy use trendline to entry. Trendline be drawed from Pivots High/Low.
Entry Long: When price break up trendline.
Entry Short: When price break down trendline.
Risk:Reward setup is 1:1.
You can backtest with whichever pair and whichever timeframe.
I backtested:
- If scalping: should use timeframe 5m, set up SL, TP is 2%.
- If swing trade: should use timeframe 1H, set up SL 2%, TP is 3%.
Should use with other indicator to increase winrate.
Volume Zone Oscillator (VZO)My interpretation of Walid Khalil's Volume Zone Oscillator (VZO) as published in the 2009 International Federation of Technical Analysis Journal.
This VZO indicator is also the same as Danielle Shay's popular Simpler Trading TurboVZO indicator.
ABOUT:
The oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
HOW TO USE THE INDICATOR:
The default period is 14 but can be adjusted after backtesting.
The VZO points to a positive trend when it rises above and maintains the 5% level, and a negative trend when it falls below the 5% level and fails to turn higher. Oscillations between the 5% and 40% levels mark a bullish trend zone, while oscillations between -40% and 5% mark a bearish trend zone. Meanwhile, readings above 40% signal an overbought condition, while readings above 60% signal an extremely overbought condition. Alternatively, readings below -40% indicate an oversold condition, which becomes extremely oversold below -60%.
Kahlil recommends confirming VZO signals with a 14-period average directional index (ADX), with values greater than 18 pointing to a trending market - search Tradingview's built-in indicators for the Directional Movement Index (DMI).
INTRADAY SCALPING:
Whilst the VZO is already smoothed with an exponential moving average, the indicator settings include an additional 'smoothing' function to remove any excess 'noise' in the plots for intraday use.
[ADOL_]Trend BreakENG)
Trend Break trend break+
It automatically draws a trend line and generates signals based on elaborate standards.
It is a secretary who plays an excellent role as an auxiliary tool in the sale and sale.
Trend lines are an important tool in determining the direction of trading.
These indicators are automatic trend line construction and trading signal generation indicators.
The background informs the trend section. The key function is the notation of signals.
principle)
It reflects the concept of HH and LL.
What is HH? Abbreviation of Higher High, which means to increase the high point.
What is LL? It stands for Lower Low, which means to lower the low point.
The trend line is created by the basic construction method that connects the highs and the highs, and the lows and the lows.
The basic signal is prepared by generating a signal from the 3 previous candles of the breakthrough of the trend line.
Basic signal; L for long, S for short
When the flow continues in one direction by reflecting the candle flow in ascending and descending order
Create a filtered signal.
Filtering signal; Filtering signals are marked with ★.
The background is the output through direction matching filtering of the double weighted moving average.
Green Background: Uptrend Progress
Red background: downtrend progress
Gray background: neutral zone (rebound, retracement, crossing)
Principle example)
This is an example of a signal with no filtering applied.
This is an example of a filtered signal.
option)
Line color, line shape, whether or not to include a tail when drawing a trend, line thickness
You can choose options such as.
Time frame)
Applicable to all time frames.
Scalping: 1 minute bar, 3 minute bar
Single hit: 3 minutes, 15 minutes, 1 hour
Swing: 1 hour salary, 4 hour salary, daily salary
Applicable market)
Applicable to all markets.
Examples of market application)
NASDAQ
Korean stocks (ex: Samsung Electronics)
alert)
You can use the alert function.
-Background alert for trend direction
-Alert to break through downtrend line and alert to break through uptrend line
-Filtering applied alert to break through the downtrend line
-Filtering applied alert to break through the uptrend line
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
Trading method)
1. The trend line refers to the concept of support/resistance touch. Through the concept of touch
You can set a standard once more to see if the signal output is adequate.
One touch of support/resistance line: On the first touch, see long at the support line and short at the resistance line.
Touch the support/resistance line 2: Check the position once more in the step of building (consolidating) the support/resistance line. Long at the support level and short at the resistance level.
3 touches of the ground/resistance line: This is the section with high possibility in both directions.
Support/resistance line 4 (or higher) touch: Use as a breakthrough reference line. When breaking through, hit short at the support line and long at the resistance line.
If the support/resistance line breaks through to the closing price, support becomes resistance and resistance becomes support."
2. Entry Criteria/Stop Loss Criteria
-Entry criteria; Follow the signal.
-Stop loss criteria;
Using Fixed Stop Loss: Set the 1% fixed stop loss interval from signal generation (% is set individually).
Use of Candle Stop: When the low or high point of the signal generating rod collapses, set the stop loss.
Use of flow stop loss: Set the stop loss by considering the flow of the wave.
3. Note
All trading decisions you make are your sole responsibility.
If the indicators were helpful, please support us. Help in developing the following metrics.
4. How to use
Tap Add Indicator to Favorites. Click on the indicator at the top of the chart screen and look at the left tab
Indicators have been added. Press to use. Anyone can use it.
KOR)
Trend Break 추세돌파+
추세선을 자동으로 작도해주며, 정교화된 기준으로 시그널을
발생시켜 매매에 보조도구로써 훌륭한 역할을 수행해내는 비서입니다.
추세선은 매매의 방향성을 결정하는데 중요한 도구입니다.
해당 지표는 자동 추세선 작도와 매매 시그널 발생 지표입니다.
배경은 추세구간을 알려줍니다. 핵심기능은 시그널의 표기입니다.
원리)
HH와 LL의 개념을 반영합니다.
HH란 ? Higher High의 약자로 고점을 높인다는 의미입니다.
LL란? Lower Low의 약자로 저점을 낮춘다는 의미입니다.
추세선은 고점과 고점, 저점과 저점을 잇는 기본 작도 방법으로 만들어집니다.
추세선 돌파의 3개 이전 캔들부터 신호발생으로 준비를 기본 시그널을 만듭니다.
기본 시그널 ; 롱의 경우 L 표기, 숏의 경우 S표기
오름차순과 내림차순의 캔들 흐름을 반영하여, 한 방향으로 흐름이 지속될때
필터링된 시그널을 만듭니다.
필터링 시그널 ; 필터링 시그널은 ★ 표기가 붙습니다.
배경은 이중 가중이동 평균의 방향일치 필터링을 통한 출력입니다.
초록색 배경 : 상승추세 진행
빨간색 배경 : 하락추세 진행
회색 배경 : 중립구역(반등, 되돌림, 교차)
원리 예시)
필터링이 적용되지 않은 시그널의 예시입니다.
필터링이 적용된 시그널의 예시입니다.
옵션)
선색상, 선모양, 추세선작도시 꼬리포함여부, 선굵기
등의 옵션을 선택할 수 있습니다.
타임프레임)
모든 시간프레임에 적용 가능합니다.
스캘핑 : 1분봉, 3분봉
단타 : 3분봉, 15분봉, 1시간봉
스윙 : 1시간봉, 4시간봉, 일봉
적용시장)
모든 시장에 적용 가능합니다.
시장 적용의 예시)
나스닥
한국주식(예 : 삼성전자)
알람)
얼러트 기능을 사용할 수 있습니다.
- 추세방향성에 대한 배경의 얼러트
- 하락추세선 돌파 얼러트, 상승추세선 돌파 얼러트
- 필터링을 적용한 하락추세선 돌파 얼러트
- 필터링을 적용한 상승추세선 돌파 얼러트
매매방법)
1. 추세선은 지지/저항의 터치 개념을 참고합니다. 터치의 개념을 통해
시그널 출력이 적절한지 한번 더 기준을 잡을 수 있습니다.
지지/저항선 1터치 : 첫번째 터치에는 지지선에서 롱을, 저항선에서 숏을 봅니다.
지지/저항선 2터치 : 지지/저항선 구축(다지기)의 단계로 한번 더 자리를 확인합니다. 지지선에서 롱을, 저항선에서 숏을 봅니다.
지/저항선의 3터치 : 양방향의 가능성이 높은 구간입니다.
지지/저항선4(이상)터치 : 돌파기준선으로 사용합니다. 돌파할 때, 지지선에서 숏을, 저항선에서 롱을 칩니다.
지지/저항선이 종가로 뚫리면 지지는 저항이 되고, 저항은 지지가 됩니다."
2. 진입기준/손절기준
- 진입기준; 시그널을 따릅니다.
- 손절기준;
고정손절가 이용 : 시그널 발생으로부터 1% 고정 손절가 구간을 설정합니다.(%는 개별로 설정)
캔들손절가 이용 : 시그널 발생봉의 저점이나 고점이 무너지면 손절을 설정합니다.
흐름손절가 이용 : 파동의 흐름을 고려하여 손절을 설정합니다.
3. 참고
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
지표가 도움이 되었다면 응원 부탁드립니다. 다음 지표 개발에 도움이 됩니다.
4. 사용방법
즐겨찾기에 인디케이터 넣기를 누릅니다. 차트화면 상단에 지표를 눌러서 왼쪽탭에 보면
지표가 추가되어 있습니다. 눌러서 사용합니다. 누구나 사용할 수 있습니다.
[astropark] Volume AnalyzerDear Followers,
today another awesome Analysis Tool, that you can use for day scalping: Volume Analyzer !
This indicator
works on every market, pair and timeframe
lets you see analysis of a different timeframes using the resolution parameter
has an optional trend colored background (I suggest to disable it if you use a different resolution)
integrates a tape profit strategy based on RSI (you can config it and enable/disable it)
lets you setup alarms on bull/bear signal as well as on TP RSI-based signals
I prefer to use this indicator in my day trading on low timeframes , like 5m - 15m - 1h, as you can have access to a more detailed volume information, but it works on high timeframes too as you can see in examples at the bottom of the description.
I truly think that Volume says a lot about future price action, as stated in my Cumulative Volume Delta (CVD) indicator, which you can find here below:
In this indicator, I'm much more interested in the bullish or bearish effect of volume generated by traders and following price action.
Be sure to understand that at current status this is not a complete automated strategy, but an analysis tool which aims to give you a positive bias, a profitable hedge in your trading journey.
As I always say, all tools are great if you use them correctly: this is not the "Holy Grail", so always use proper money and risk management strategies.
This indicator quite often calls bottoms and tops , most of the times it announces a coming reversals , sometimes it fails too of course.
Check this screenshot to have a clear idea of what I'm talking about:
You are supposed to discard signals of the same type that comes later and at a worse price (related to the trend) or you can use to re-fill your still-open position, using it as a re-entry.
You are supposed to act at first signals and average up/down if price goes against you when a new bear/bull signal appears at a better price.
Here it is another element you must consider: price action can deny a reversal stated by volume analysis .
In these cases, you must apply a stop loss in your trade and reverse your position. Don't average up/down your entry.
The reason in this screenshot below:
As you can see, the local downtrend was broken, as it was a simple pullback, previous bull trend was restored and price went up a lot!
The indicator here detected bears rejecting the run-up as much violently as they could, but that was a pullback, nothing more than that: main bull trend was still intact.
Another important advice: don't be greedy, always remember to take profits ! Avoid turning a winning trade into a losing one, which is a common mistake traders do.
That's why I decided to include an RSI based Take Profit algorithm inside:
when background is colored by green (and you can't see any bull signal), then you are in over bought region: start taking profits on you buy/long position or close it or set a trailing stop or a stop loss in profit!
when background is colored by red (and you can't see any bear signal), then you are in over sold region: start taking profits on you sell/short position or close it or set a trailing stop or a stop loss in profit!
when price is in a big overbought or oversold region, then you can see a "ob" label or a "os" label respectively
if you are in a bullish trend (you can see it from the trend colored green background as last signal was a "bull" one), "ob" becomes a clear "tp" - Take Profit advice
if you are in a bearish trend (you can see it from the trend colored red background as last signal was a "bear" one), "os" becomes a clear "tp" - Take Profit advice
Here some examples how you can use the signals produced by the indicator in order to be a successful trader.
I circled with pink signals you as supposed to take, then with a "$" pink backgrounded region where you are supposed to take profits, I finally put an X on failing signals, where you would theoretically have been stopped-out.
GBPUSD, 15m
ETHUSD, 1h
TSLA, 5m
BTCUSD, 15m
XAGUSD, 1h
EURUSD, 15m
SPX500, 1h
ETHUSD, 1D
ETHBTC, 6h
This is a premium indicator , so send me a private message in order to get access to this script.
Bandpass Filter v2Attempts to detect trends based on detrended cycles, instead of momentum or price action!
If you enable bar painting, then uptrends will be painted in lime green, then dark green to signify the cycle is ending.
Downtrends will be painted in bright red, then maroon to signify the cycle is ending.
Reducing fast limit will allow the indicator to respond much faster to cycle changes, but may cause more weak signals.
Increasing slow limit will "hold on to" cycles for a longer time & allow trends to extend through small periods of consolidation.
Tweak these settings to your style of trading!
Good settings for scalping:
14, 35
Good settings for intraday:
30, 60
40, 80
Good settings for swing trades:
20, 200 (gets into trade earlier)
50, 120
Ultimately, you'll have to decide the best limits for each security.
Cheers,
DasanC
Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
________________________________________
## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
________________________________________
## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
________________________________________
## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
________________________________________
## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
________________________________________
## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
________________________________________
## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
________________________________________
## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
________________________________________
## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
________________________________________
## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
________________________________________
## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
________________________________________
## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
Sniper BreakoutThis indicator is based on 3 indicator :=
1) Forex Market Session 2) Ema 200 3) Volume
This indicator is for Forex market ..in Forex market (ex- Eur/Usd ) price often (67%) do rotation in every session means example :let suppose a trade take trade in asian session and have 30 pips stop loss 67 % chance price will come back to entry price after London session or New York session so trade have less chance to make trade without hitting stop loss
in this indicator we are using Forex market session indicator to get session range start to end ..this indicator will only search opportunity in London And New York Session range and that can be customize from input section . user can select time zone and time of session from input section indicator and color of session .
next indicator using 200 length Exponential Moving Average for trend identification .if close price is above 200 Ema means trend is upside moving & if close price is below 200 Ema means price is moving downside .user can change length and source of Ema from input section .
Third and most important part is volume indicator when a session start (Example-London session it keep Look back 6 previous candle and compare volume imbalance between look back candle .look back candle can be customize from input section default look back candle input is (6).
next we are using trade range time to only show trade on certain time because often market convert into trading range so given specific input time it only take trade when volume and price is rising or falling .time range can be selected from input section .
Trade Entry Buy Signal -if price is either London or New York session and price is above 200 Ema and volume not in imbalance last number of candle it give Feb (first entry buy ) we keep save high price of every candle after Feb (label ) signal .if any candle break above Feb label it show a confirm buy signal ..Below in example as we can see
Example Image Buy Signal -
in this above example step -1 we searching imbalance of volume and price as we can see imbalance of volume and price on green candle .next we look price is above 200 ema .next step(2) we got Feb (first entry buy ) signal this is not a confirm buy signal .we save high of candle next candle high close above previous candle high we got confirm buy signal .
Trade Entry Sell Signal - if price is either London or New York session and price is below 200 Ema and volume not in imbalance last number of candle it give Feb (first entry Sell ) we keep save low price of every candle after Fes (label ) signal .if any candle break below Fes label it show a confirm sell signal ..Below in example as we can see
step-1 starting of london session we start getting imbalance between price and volume .price is getting rejected but volume is rising on green candle we got fes (first entry sell signal ).next we save low of fes candle but price close above that low of candle we dont get confirm sell entry next price break below low of previous candle so open a new sell signal ..
Example 3 - No Confirm buy/sell Signal
In this above Image example we did not get any confirm signal...we got first entry buy signal but price did not close high of candle in london session .so that day chance price can go any side ..
Example 4 -Feb signal and later confirm buy entry
in this above example we got imbalance of volume and feb(first entry buy signal) but we dont get any confirm buy signal price is just going high then previous candle ..later we see price crossover high of previous candle we got confirm buy signal
Use Of Indicator - This indicator helps traders identify potential trade setups by signaling the first entry points and confirming them later. It's particularly useful for avoiding getting caught in price rotations and aligning trades with significant volume and price movements. Traders should analyze price action and news before confirming a trade.
RSI Divergence Strategywhat is "RSI Divergence Strategy"?
it is a RSI strategy based this indicator:
what it does?
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss.
how it does it?
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value.
How to use it?
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use.
RSI length is length of RSİ
source is source of RSİ
RSİ Divergence lenght is length of line on the RSI
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group.
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.
Scalper RibbonThis Scalper Ribbon is a combination of 6 different oscillators with a sprinkle of secret sauce . It’s smoothed out so it’s easy to read, but is quick enough to catch reversals early and helps you spot divergences. It will turn green or red according to the bullish or bearish nature of the ticker you are viewing without all of the noise that most oscillators give you.
It combines price action, momentum, rsi and a few other oscillators together to give an overall trend strength line that is smoothed out and coupled with a moving average to make it less noisy. Use it as an identifier of the underlying trend so you can make better decisions on scalp trades as well as swing trades on longer timeframes. Wait for the ribbon to break out/down from the middle blue range to avoid chop and get in when price is actually moving.
***HOW TO USE***
Find tops and bottoms of the market by looking for reversals in the ribbon when it is either very high or very low. The white line is the midline and the ribbon is overall bullish when above the midline and overall bearish when below the midline. There are also two blue lines just above and below the midline that is a buffer area I like to call the neutral range. When the ribbon is in the neutral range, expect indecision in the market and look for the ribbon to break out or down from that range for continuation of a trend. The farther away from the neutral range the ribbon is, the stronger the trend is. Take a look at how it performs across multiple timeframes and tickers and get a feel for it before using it in your strategy. It will help you spot reversals early and show you hidden divergences in price action before the reversals happen.
***CUSTOMIZATION***
You can adjust the length of the oscillators and the moving average ribbon to be faster or slower to suit your preferences. The lower the number used, the faster it will detect changes, but the more noise it will have. The higher the number used, the slower it will detect changes, but there will be less noise and easier to follow.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This Scalper Ribbon indicator can be used on all timeframes.
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands.
Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping.
You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees.
It additionally helps taking trading decisions or not with very small trades (Scalping).
You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff.
Fee Overview in the current market for the indicator input field:
BingX with 10% fee reduction code = 0,045 %
BingX: Normal = 0,050 %
Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 %
Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 %
Have fun Trading, Happy Profits!
Greetings
ToniTrading
ProfitsMaxx MoneyScalp ProfitsMaxx Money Scalp is a next-generation scalping indicator built for traders who want precision, speed, and consistency in fast-moving markets. It combines advanced price action analytics, momentum tracking, and volatility filters to identify high-probability entry and exit points with exceptional accuracy. Whether you trade crypto, forex, or indices, ProfitsMaxx Money Scalp adapts seamlessly to different market conditions — from strong trends to choppy consolidations — ensuring you never miss an opportunity. Designed for lower timeframes like M1 to M15, it delivers real-time scalp signals, helping traders execute with confidence and control. With its clean visuals, minimal noise, and reliable alerts, ProfitsMaxx Money Scalp transforms complex market data into clear trading insights. Trade smarter, react faster, and maximize your profits with ProfitsMaxx — your edge in the world of scalping.
Visit this website to get access: www.profitsmaxx.com
Nexus v10Nexus v10 - Confluence-Driven Trading Indicator
The Nexus v10 is a sleek, modern, and versatile trading indicator that delivers precise buy and sell signals by synthesizing a confluence of technical factors, including Heikin Ashi candles, RSI, ADX, and EMA crossovers. The name "Nexus" captures its core strength—connecting and synthesizing multiple signals into a cohesive trading decision point. The term evokes a central hub or convergence, reflecting the script’s confluence-based approach, dynamic adaptability, and real-time precision for scalping. Designed for traders seeking clarity and efficiency, it’s a powerful tool for navigating dynamic markets.
Key Features:
Confluence-Based Signals: Combines weighted signals from Heikin Ashi, RSI, ADX, and EMA crossovers to generate high-probability buy/sell signals.
Neutral Status Logic: Limits consecutive signals to two per direction, requiring a "Neutral" status before the second signal to ensure disciplined trading.
Clean Visualization: Displays only the two most recent buy/sell signals, keeping the chart uncluttered and focused on current opportunities.
Dynamic Adaptability: Offers customizable RSI thresholds, EMA lengths, MTF settings, and dynamic overbought/oversold levels to fit any market or style.
Candle Coloring & Inside Bars: Highlights overbought/oversold conditions and inside bars with customizable colors for enhanced context.
Real-Time Debug Table: Provides live insights into signal status, RSI, MTF trends, and ADX for informed decision-making.
How It Works:
Nexus v10 integrates multiple technical factors, including MTF analysis (default: 3m, 15m, 240m, D), RSI, ADX, and EMA crossovers, to produce signals when confluence criteria are met. Signals appear as circles on the chart, with a maximum of two visible signals per direction (buy or sell). A second signal in the same direction requires a neutral status, ensuring precision. Ideal for scalping, swing, and trend trading across stocks, forex, futures, and more.
Usage Tips:
Customize settings like RSI thresholds and MTF periods to align with your trading strategy.
Use the debug table to monitor confluence factors and signal status in real-time.
Pair with sound risk management and personal analysis for optimal results.
Note:
Always backtest thoroughly in your trading environment to validate performance. Let the Nexus v10 guide your next trade with precision and clarity!
Nexus v10Nexus v10 - Confluence-Driven Trading Indicator
The Nexus v10 is a sleek, modern, and versatile trading indicator that delivers precise buy and sell signals by synthesizing a confluence of technical factors, including Heikin Ashi candles, RSI, ADX, and EMA crossovers. The name "Nexus" captures its core strength—connecting and synthesizing multiple signals into a cohesive trading decision point. The term evokes a central hub or convergence, reflecting the script’s confluence-based approach, dynamic adaptability, and real-time precision for scalping. Designed for traders seeking clarity and efficiency, it’s a powerful tool for navigating dynamic markets.
Key Features:
Confluence-Based Signals: Combines weighted signals from Heikin Ashi, RSI, ADX, and EMA crossovers to generate high-probability buy/sell signals.
Neutral Status Logic: Limits consecutive signals to two per direction, requiring a "Neutral" status before the second signal to ensure disciplined trading.
Clean Visualization: Displays only the two most recent buy/sell signals, keeping the chart uncluttered and focused on current opportunities.
Dynamic Adaptability: Offers customizable RSI thresholds, EMA lengths, MTF settings, and dynamic overbought/oversold levels to fit any market or style.
Candle Coloring & Inside Bars: Highlights overbought/oversold conditions and inside bars with customizable colors for enhanced context.
Real-Time Debug Table: Provides live insights into signal status, RSI, MTF trends, and ADX for informed decision-making.
How It Works:
Nexus v10 integrates multiple technical factors, including MTF analysis (default: 3m, 15m, 240m, D), RSI, ADX, and EMA crossovers, to produce signals when confluence criteria are met. Signals appear as circles on the chart, with a maximum of two visible signals per direction (buy or sell). A second signal in the same direction requires a neutral status, ensuring precision. Ideal for scalping, swing, and trend trading across stocks, forex, futures, and more.
Usage Tips:
Customize settings like RSI thresholds and MTF periods to align with your trading strategy.
Use the debug table to monitor confluence factors and signal status in real-time.
Pair with sound risk management and personal analysis for optimal results.
Note:
Always backtest thoroughly in your trading environment to validate performance. Let the Nexus v10 guide your next trade with precision and clarity!
Inflection PointInflection Point - The Adaptive Confluence Reversal Engine
This is not just another peak and valley indicator; it is a complete and total reimagining of how market turning points are detected, qualified, and acted upon. Born from the foundational concepts explored in systems like my earlier creation, DAFE - Turning Point, Inflection Point is a ground-up engineering feat designed for the modern trader. It moves beyond static rules and simple pattern recognition into the realm of dynamic, multi-factor confluence analysis and adaptive machine learning.
Where other indicators provide a guess, Inflection Point provides a probability. It meticulously analyzes the market's deepest currents—momentum, exhaustion, and reversal velocity—and fuses them into a single, unified "Confluence Score." This is not a simple combination of indicators; it is an intelligent, weighted system where each component works in concert, creating an analytical engine that is orders of magnitude more sophisticated and reliable than any standard reversal tool.
Furthermore, Inflection Point learns. Through its advanced Adaptive Learning Engine, it constantly monitors its own performance, adjusting its confidence and selectivity in real-time based on its recent success rate. This allows it to adapt its behavior to any security, on any timeframe, with remarkable success.
Theoretical Foundation - Confluence Core
Inflection Point's predictive power does not come from a single, magical formula. It comes from the intelligent synthesis of three critical market phenomena, weighted and scored in real-time to generate a single, high-conviction probability rating.
1. Factor One: Pre-Reversal Momentum State (RSI Analysis)
Instead of reacting to a simple RSI cross, Inflection Point proactively scans for the build-up of momentum that precedes a reversal.
• Formulaic Concept: It measures the highest RSI value over a lookback period for peaks and the lowest RSI for valleys. A signal is only considered valid if significant momentum has been established before the turn, indicating a stretched market condition ripe for reversal.
• Asymmetric Sophistication: The engine uses different, optimized thresholds for bull and bear momentum, recognizing that markets often fall faster than they rise.
2. Factor Two: Volatility Exhaustion (Bollinger Band Analysis)
A true reversal often occurs when price makes a final, exhaustive push into unsustainable territory.
• Formulaic Concept: The engine detects when price has significantly pierced the outer Bollinger Bands. This is not just a touch, but a statistical deviation from the mean that signals volatility exhaustion, where the energy for the current move is likely depleted.
3. Factor Three: Reversal Strength (Rate of Change Analysis)
The character of a reversal matters. A sharp, decisive turn is more significant than a slow, meandering one.
• Formulaic Concept: Using a short-term Rate of Change (ROC), the engine measures the velocity of the reversal itself. A higher ROC score adds significant weight to the final probability, confirming that the new direction has conviction.
4. The Final Calculation: The Adaptive Learning Engine
This is the system's "brain." It maintains a history of its past signals and calculates its real-time win rate. This hitRate is then used to generate an adaptiveMultiplier.
• Self-Correction: In "Quality Control" mode, a high win rate makes the indicator more selective, demanding a higher probability score to issue a signal, thereby protecting streaks. A lower win rate makes it slightly less selective to ensure it continues learning from new market conditions.
• The result is a system that is not static, but a living, breathing tool that adapts its personality to the unique rhythm of any chart.
Why Inflection Point is a Paradigm Shift
Inflection Point is fundamentally different from other reversal indicators for three key reasons:
Confluence Over Isolation: Standard indicators look at one thing (e.g., RSI > 70). Inflection Point simultaneously analyzes momentum, volatility, and velocity, understanding that true reversals are a product of multiple converging factors. It answers not just "if," but "why" a reversal is likely.
Probabilistic Over Binary: Other tools give you a simple "yes" or "no." Inflection Point provides a probability score from 0-100, allowing you to gauge the conviction of every potential signal. This empowers you to differentiate between a weak setup and an A+ opportunity.
Adaptive Over Static: Every other indicator uses the same rules forever. Inflection Point's Adaptive Engine means it is constantly refining its own logic based on what is actually working in the current market, on the specific asset you are trading. It is tailored to the now.
The Inputs Menu - Your Command Center
Every setting is a lever of control, allowing you to tune the engine to your precise trading style and market focus.
🧠 Neural Core Engine
Analysis Depth: This is the primary lookback for the Bollinger Band and other core calculations. A shorter depth makes the indicator faster and more sensitive, ideal for scalping. A longer depth makes it slower and more stable, ideal for swing trading.
Minimum Probability %: This is your master signal filter. It sets the minimum Confluence Score required to plot a signal. Higher values (85-95) will give you only the highest-conviction A+ setups. Lower values (70-80) will show more potential opportunities.
🤖 Adaptive Neural Learning
Enable Adaptive Learning Engine: Toggles the entire learning system. Disabling it will make the indicator's logic static.
Peak/Valley Success Threshold (ATR): This defines what constitutes a "successful" trade for the learning engine. A value of 1.5 means price must move 1.5x the ATR in your favor for the signal to be marked as a win. Adjust this to match your personal take-profit strategy.
Adaptive Mode: This dictates how the engine uses its hitRate. "Quality Control" is recommended for its intelligent filtering. "Aggressive" will always boost signal scores, useful for finding more setups in a known, trending environment.
Asymmetric Balance: Allows you to apply a "boost" to either peak (short) or valley (long) signals. If you find the market you're trading has stronger long reversals, you can increase the "Valley Signal Boost" to catch them more effectively.
🛡️ Elite Filters
Market Noise Filter: An exceptional tool for avoiding choppy markets. It counts the number of directional changes in the last 5 bars. If the market is whipping back and forth too much, it will block the signal. Lower the "Max Direction Changes" to be extremely selective.
Volume Filter: Requires signal confirmation from a significant volume spike. The "Volume Multiplier" dictates how large this spike must be (e.g., 1.2 = 20% above average volume). This is invaluable for filtering out low-conviction moves in stocks and crypto.
The Dashboard - Your Analytical Co-Pilot
The dashboard is not just a set of numbers; it is a holistic overview of the market's health and the engine's current state.
Unified AI Score: This section provides the most critical, at-a-glance information. "Total Score" is the current probability reading, while "Quality" gives you a human-readable interpretation. "Win Rate" shows the real-time performance of the Adaptive Engine.
Order Flow (OFPI): This measures the "weight" of money behind recent price moves by analyzing price change relative to volume. A high positive OFPI suggests strong buying pressure, while a high negative value suggests strong selling pressure. It gives you a peek into the market's underlying flow.
Component Analysis: This allows you to see the individual "Peak" and "Valley" confidence scores before they are filtered, giving you insight into building momentum before a signal forms.
Market Structure: This panel assesses the broader environment. "HTF Trend" tells you the direction of the larger trend (based on EMAs), while "Vol Regime" tells you if the market is in a high, medium, or low volatility state. Use this to align your signals with the broader market context.
Filter & Engine Statistics: Available on the "Large" dashboard, this provides deep insight into how many signals are being blocked by your filters and the current status of the Adaptive Engine's multiplier.
The Visual Interface - A Symphony of Data
Every visual element on the chart is designed for instant interpretation and insight.
Signal Markers: Simple, clean triangles mark the exact bar of a valid signal. A box is drawn around the high/low of the signal bar to highlight the precise point of inflection.
Dynamic Support/Resistance Zones: These are the glowing lines on your chart. They are not static lines; they are dynamic levels that represent the current battlefield between buyers and sellers.
Cyber Cyan (Valley Blue): This is the current Support Zone. This is the price level the market is currently trying to defend.
Neural Pink (Peak Red): This is the current Resistance Zone. This is the price level the market is currently trying to break through.
Grey (Next Level): This line is a projection, based on the current momentum and the size of the S/R range, of where the next major level of conflict will likely be. It acts as a potential price target.
Development & Philosophy
Inflection Point was not assembled; it was engineered. It represents hundreds of hours of research into market dynamics, statistical analysis, and machine learning principles. The goal was to create a tool that moves beyond the limitations of traditional technical analysis, which often fails in modern, algorithm-driven markets. By building a system based on multi-factor confluence and self-adaptive logic, Inflection Point provides a quantifiable, statistical edge that is simply unattainable with simpler tools. This is the result of a relentless pursuit of a better, more intelligent way to trade.
Universal Applicability
The principles of momentum, exhaustion, and velocity are universal to all freely traded markets. Because of its adaptive core and robust filtering options, Inflection Point has proven to be exceptionally effective on any security (stocks, crypto, forex, indices, futures) and on any timeframe (from 1-minute scalping charts to daily swing trading charts).
" Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected. "
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics
Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves.
This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities.
🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS
VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos.
1. The VoVix Score: Measuring Volatility Thrust
The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration.
Mathematical Formula:
VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε)
Where:
ATR(fast) is the Average True Range over a short period, representing current, immediate volatility.
ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility.
StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility.
ε (epsilon) is a very small number to prevent division by zero.
Market Implementation:
Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding.
Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting.
Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market.
2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility
The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself.
Mathematical Formula:
DEV = StDev(VoVix Score, lookback_period)
Market Implementation:
This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional.
3. The DEVMA Crossover: Identifying Regime Shifts
This is the primary signal generator. We take two moving averages of the DEV value.
Mathematical Formula:
fastDEVMA = SMA(DEV, fast_period)
slowDEVMA = SMA(DEV, slow_period)
The Core Signal:
The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility.
Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime.
Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation.
⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE
Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style.
🌀 VoVix DEVMA Configuration
🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts.
⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts.
🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared.
How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles.
🧠 Adaptive Intelligence
🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate.
⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long.
⚡ Intelligent Execution
📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing.
🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism.
🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise.
💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio).
🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run.
🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility.
⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets.
⏰ Session Management
These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open).
🎨 Visual Effects & Dashboard
These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you.
📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER
The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance.
🎯 VOVIX ANALYSIS
Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line.
Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend.
Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force.
PERFORMANCE
Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart.
EXECUTION
Trade Qty: Shows your configured position size per trade.
Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings.
POSITION
Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade.
🧠 ADAPTIVE STATUS
Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart.
🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY
The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state.
The Core Lines:
FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling.
SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling.
🌊 Morphism Flow (Flowing Lines with Circles):
What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength.
Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force.
📐 Homotopy Paths (Layered Transparent Boxes):
What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value.
Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment.
🧠 Consciousness Field (The Grid):
What it represents: This grid provides a historical lookback at the DEV range.
Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state.
📏 Functorial Levels (Projected Horizontal Lines):
What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future.
Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level.
🌊 Flow Boxes (Spaced Out Boxes):
What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction.
Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color.
Background Color:
This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second.
📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS
The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change.
Test Parameters & Conditions
To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario.
Instrument: CME E-mini Nasdaq 100 Futures (NQ1!)
Timeframe: 5-Minute Chart
Backtesting Range: March 24, 2024, to July 09, 2024
Initial Capital: $100,000
Commission: $0.62 per contract (A realistic cost for futures trading).
Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution).
Trade Size: 1 contract per trade.
Performance Overview (Historical Data)
The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation.
Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained.
Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations.
Risk & Trade Characteristics
Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior.
Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated.
Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss.
Conclusion and Final Disclaimer
This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk.
🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY
The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself.
The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation.
⚠️ RISK DISCLAIMER AND BEST PRACTICES
VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures
"The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis."
— George Soros
— Dskyz, Trade with insight. Trade with anticipation.
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE)
A Three-Pillar Framework for Decoding Institutional Activity
🎓 THEORETICAL FOUNDATION
The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture.
This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum.
⚡ THE THREE-PILLAR ARCHITECTURE
1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT')
Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? "
Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market.
Formulaic Concept:
Coherence = f(Dominance, Synchronization)
Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers.
Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action.
The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions.
2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION')
Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? "
Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes."
Algorithmic Process:
Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events.
Node Creation: A raw node is created at the mean price of the identified candle.
Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level.
Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics.
3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING')
Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? "
Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles.
Algorithmic Process:
Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle).
Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle."
Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak).
Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum.
🔧 COMPREHENSIVE INPUT SYSTEM
Pillar I: Market Coherence Engine
Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine.
Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise.
Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions.
Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns.
Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation.
Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals.
Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves.
Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals.
Pillar II: Harmonic Liquidity Matrix
Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints.
Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels.
Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent.
Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike.
High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes.
Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest.
Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes.
High (0.6-0.8): Creates wider, more consolidated zones of liquidity.
Low (0.2-0.3): Creates more numerous, precise, and distinct levels.
Pillar III: Cyclical Resonance Matrix
Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance.
Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping.
Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading.
Institutional Signal Architecture
Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence.
Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency.
Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default.
Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals.
Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts.
🎨 ADVANCED VISUAL SYSTEM
The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed.
Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes.
Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels.
Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance.
🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment.
Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context.
Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent.
💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average.
Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry.
🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process."
Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim.
⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm.
Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy.
📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD)
The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status.
Header: Displays the script title and version.
Coherence Engine Section:
State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition.
Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing.
Liquidity Matrix Section:
Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked.
Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest.
Cycle Matrix Section:
Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy.
Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation.
Signal Status Section:
A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color.
🎯 SIGNAL GENERATION LOGIC
Aetherium's signal logic is built on the principle of strict, non-negotiable confluence.
Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market.
Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node.
For a Buy Signal: Price must be rejecting the Node from below (testing it as support).
For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance).
Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction.
Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike.
Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move.
🚀 ADVANCED TRADING STRATEGIES
The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal.
The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion.
Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target.
⚖️ RESPONSIBLE USAGE AND LIMITATIONS
Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future.
Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties.
Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change.
Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal.
Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics.
🔮 CONCLUSION
The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations.
It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm.
"In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung
— Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
Adjustable Vertical LinesThe script provides an indicator which will plot lines - 15 min, 30 min and 60 min. You can customize the time intervals and go to as low as one minute, but I found the 15-minute and 30-minute intervals works best for me when trying to find setups, and the lower time-frame intervals, is just pointless to use if you're not scalping on the seconds timeframe.
You can customize inputs for the line style. Line thickness, colour, etc.
I've seen this work using the OBR theory and applying it to the one-minute candle then looking for other confluences like order blocks, or breakers, FVGs, BOS/CHoC for further confirmation for scalping. It's important to backtest though and see for yourself.
Thanks for the boost.
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine
The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI.
💡 What Makes It Unique?
While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity.
This dual-RSI approach allows for:
- Divergence detection between directional bias and price magnitude.
- Smoother trend confirmation in choppy markets.
- Cleaner visual cues using dynamic glow and background logic.
📐 How Standard RSI Actually Works (Not What You Think)
RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood:
1.) For each bar, it calculates the change from the previous close.
2.) It separates those changes into gains (upward moves) and losses (downward moves).
3.) Then it computes a smoothed average of those gains and losses (usually using an RMA).
4.) It calculates the Relative Strength (RS) as:
RS = AvgGain / AvgLoss
5.) Finally, it plugs that into the RSI formula:
RSI = 100 - (100 / (1 + RS))
⚖️ What Does the 50 Line Mean?
- The RSI scale runs from 0 to 100, but 50 is the true neutral zone:
- RSI > 50 means average gains outweigh average losses over the period.
- RSI < 50 means losses dominate.
- RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias.
- This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI.
🔧 Inputs and Customization
- Everything is fully modular and customizable:
🧠 Core Settings
- RSI Length: Used for both the standard RSI and Candle Count RSI.
📉 Standard RSI
- Classic RSI calculation based on price changes.
- Optional WMA smoothing to reduce noise.
- Glow effect toggle with custom intensity.
🕯 Candle Count RSI
- Computes RSI using only the count of up/down candles.
- Optional smoothing for stability.
- Amplifies streaks (e.g., multiple consecutive bullish candles increase strength).
- Glow effect toggle with adjustable strength.
🎇 Glow Visuals
- Background glow (subpane and/or main chart).
- Fades based on RSI distance from the 50 midpoint.
- Independent color settings for bull and bear bias.
🧬 Divergence Zones
- Detects when Candle RSI and Standard RSI diverge.
- Highlights:
- Bullish Divergence: Candle RSI > 50, Standard RSI < threshold.
- Bearish Divergence: Candle RSI < 50, Standard RSI > threshold.
- Background fill optionally shown in subpane and/or main chart.
📊 Directional Histogram
- MACD-style histogram showing the difference between the two RSI lines.
- Color-coded based on directional agreement:
- Both rising → green.
- Both falling → red.
- Conflict → yellow.
🧠 Under the Hood — How It Works
🔹 Standard RSI
- Classic ta.rsi() applied to close prices, optionally WMA-smoothed.
🔹 Candle Count RSI (CCR)
- Counts how many candles closed up/down over the period.
- Computes a magnitude-free RSI from these counts.
- Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs.
- Optionally smoothed with WMA to create a clean signal line.
- This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes.
🔹 Divergence Logic
- When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution.
🔹 Glow Logic
- Glow zones are controlled by a master toggle and drawn with dynamic transparency:
- Further from 50 = stronger conviction = darker glow.
- Shows up in subpane and/or main chart depending on user preference.
📷 Suggested Use Case / Visual Setup
- Use in conjunction with your primary price action system.
- Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals.
- Use glow bias zones on the main chart to get subconscious directional cues during fast scalping.
- Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions.
🛠️ Tip for Traders
- This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down.
⚠️ WARNING
- Not for use with Heikin Ashi, Renko, etc.).
🧠 Summary
Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity.
—
🛠️ Built by: Sherlock_MacGyver
Feel free to share feedback or reach out if you'd like to collaborate on custom features.
