MA SniperThis indicator automatically finds the most effective moving average to use in a price crossover strategy—so you can focus on trading, not testing. It continuously evaluates a wide range of moving average periods, ranks them based on real-time market performance, and selects the one delivering the highest quality signals. The result? A smarter, adaptive tool that shows you exactly when price crosses its optimal moving average—bullish signals in green, bearish in red.
What makes it unique is the way it thinks.
Under the hood, the script doesn’t just pick a random MA or let you choose one manually. Instead, it backtests a large panel of moving average lengths for the current asset and timeframe. It evaluates each one by calculating its **Profit Factor**—a key performance metric used by pros to measure the quality of a strategy. Then, it assigns each MA a score and ranks them in a clean, built-in table so you can see, at a glance, which ones are currently most effective.
From that list, it picks the top-performing MA and uses it to generate live crossover signals on your chart. That MA is plotted automatically, and the signals adapt in real-time. This isn’t a static setup—it’s a dynamic system that evolves as the market evolves.
Even better: the indicator detects the type of instrument you’re trading (forex, stocks, etc.) and adjusts its internal calculations accordingly, including how many bars per day to consider. That means it remains highly accurate whether you’re trading EURUSD, SPX500, or TSLA.
You also get a real-time dashboard (via the table) that acts as a transparent scorecard. Want to see how other MAs are doing? You can. Want to understand why a certain MA was selected? The data is right there.
This tool is for traders who love crossover strategies but want something smarter, faster, and more precise—without spending hours manually testing. Whether you're scalping or swing trading, it offers a data-driven edge that’s hard to ignore.
Give it a try—you’ll quickly see how powerful it can be when your MA does the thinking for you.
This tool is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Use responsibly.
Cerca negli script per "smart"
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
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Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
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How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
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Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
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💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
Automate Multi-Timeframe Period Separators - By KaVeHVersion 1.0
Overview
The Automate Multi-Timeframe Period Separators indicator automatically plots vertical separators on your chart to visually distinguish different time intervals. It helps traders quickly identify key session changes, daily transitions, and custom time references without manually drawing lines.
Unlike standard period separators, this script offers enhanced customization options, supports multiple timeframes, and adapts dynamically to different chart resolutions.
Key Features
✅ Multi-Timeframe Support – Works across all timeframes, from seconds to months.
✅ Customizable Time References – Choose between session start time or midnight (00:00) as the reference point.
✅ Time Zone Flexibility – Supports multiple exchange-based and user-defined time zones.
✅ Multiple Line Styles – Customize separator lines with solid, dashed, or dotted styles.
✅ Performance Optimized – Efficiently manages up to 500 separators without cluttering the chart.
How It Works
🔹 This script automatically detects session changes or day boundaries based on user preferences.
🔹 It dynamically adjusts separators based on the current chart timeframe to ensure clarity and relevance.
🔹 Users can modify separator colors, line styles, widths, and display preferences from the settings panel.
What Makes This Indicator Unique?
🔹 More Flexible than Built-in TradingView Separators – Allows custom time references, multiple time zones, and improved styling options.
🔹 Not a Simple Clone – Unlike existing open-source scripts, this indicator introduces dynamic MTF logic, optimized visibility conditions, and smarter separator management.
🔹 Continuously Updated – This is the first official release, and future updates will refine the logic further.
Timeframe Alignment:
M1 timeframe -> M15 separator
M3 timeframe -> M30 separator
M5 timeframe -> H1 separator
M15 timeframe -> H4 separator
H1 timeframe -> D1 separator
H4 timeframe -> W1 separator
How to Use
1️⃣ Add the indicator to your chart.
2️⃣ Configure your preferred time reference (Session Start / Midnight).
3️⃣ Choose a custom time zone if necessary.
4️⃣ Adjust separator styles, colors, and line width to fit your trading strategy.
5️⃣ Enjoy a clearer, more structured chart layout!
🔹 Important Note:
This is not a duplicate of any existing open-source indicator. It introduces unique logic for better time-based chart structuring, ensuring a clutter-free trading experience.
💡 If you have any suggestions or feature requests, feel free to share them!
🚀 Enhance Your Trading with Smarter Time Separators!
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics.
I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs.
The concept behind taking a contrarian approach:
Market Buy Order Bubbles appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts
⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA)
Market Sell Order Bubbles appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs
⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA
These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings.
1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed.
2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed.
3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed.
Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict.
Settings Overview
"Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle.
"Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar.
"Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds.
"Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA.
"Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0.
"Show POC" - Show/hide intrabar POCs displayed as "-".
"Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
Liquidation Levels - By LeviathanThis indicator generates liquidation levels of over-leveraged traders and utilizes a variety of different tools to analyze data such as Open Interest and Volume to provide an edge in your trading system and help you with valuable market insights.
The concept of this indicator is inspired by the platform Hyblock and their Liquidation Levels tool.
The script offers a lot of flexibility in settings, so please read these instructions and test out different parameters to see what works best for you. Here is a short overview of all inputs, one by one.
PRIMARY SOURCE OF DATA
This input allows you to choose the primary source of data that the script uses to calculate liquidation levels. I encourage you to test them all and see which works best for the assets and timeframes you trade. You can also regularly switch between to see confluences.
My personal favorite inputs (and also most accurate ones) are Open Interest, Open Interest + Volume (OI+VOL), and Open Interest + CVD (OI+CVD), as they utilize Open Interest in the calculations, which is the most important factor when it comes to analyzing position opening/closing and market activity in general. The other options that do not include Open Interest (Volume, CVD) were mainly added to provide the possibility to use the indicator on pairs where OI data is not available. Please note that this indicator is built on Tradingview and can only use data (e.g., Open Interest) provided by Tradingview, which is unfortunately quite limited. This is why I recommend using the script with OI-based data source inputs on Binance's perpetual futures pairs, as this is where OI data is available. The volume-based data source inputs can be used on spot pairs, forex, indices, and other markets, where Open Interest data is not provided.
To summarize the use of Primary Source of Data input:
1. Open Interest - use on Binance’s perpetual futures or anywhere else where OI data is available
2. OI + VOL - use on Binance’s perpetual futures or anywhere else where OI data is available
3. OI + CVD - use on Binance’s perpetual futures or anywhere else where OI data is available
4. CVD - use on any pair you wish
5. Volume - use on any pair you wish
DIRECTIONAL BIAS
If turned on, the Directional bias function uses volume and some other calculations to predict which side’s liquidation levels are more likely to be filled and only keep those levels on your chart.
- Directional Bias for Liquidation Levels
Turned ON: only one side’s liquidation levels are shown on the chart
Turned OFF: all liquidation levels are shown on the chart
- Directional Bias for Liquidation Level Bubbles
Turned ON: only one side’s liquidation level bubbles are shown on the chart
Turned OFF: all liquidation level bubbles are shown on the chart
I've separated directional bias options between Liquidation Levels and Liquidation Level Bubbles because sometimes it can be useful to have one of them ON and the other one OFF.
REDUCE SENSITIVITY
The Reduce Sensitivity option allows you to multiply the thresholds for "Smaller Size Liquidation," "Medium Size Liquidation," and "Large Size Liquidation" simultaneously. This is a useful feature as it enables you to easily filter larger positions and their liquidations without having to manually alter the standard deviation multipliers, which will be discussed in further detail later in the article.
The default value is 1, which means that it does nothing.
Increasing it above 1 will increase all thresholds and therefore generate fewer liquidation levels but with larger relative sizes.
Decreasing it below 1 will lower all thresholds and therefore generate more liquidation levels but with both smaller and larger relative sizes.
BASE
This input gives you the possibility to choose between four different bases, from which the liquidation levels will be generated.
CLOSE ⇒ Levels are plotted above and below the close of the candle
HALF ⇒ Levels are plotted above and below the middle of the candle ((high+low)/2)
VWAP ⇒ Levels are plotted above and below the volume-weighted average price
VWMA ⇒ Levels are plotted above and below the volume-weighted moving average
I suggest that you backtest them and see what works best for you.
LIQUIDATION LEVEL BUBBLES
If enabled, "Liquidation Level Bubbles" mark the beginning of a new liquidation level and indicate the relative size of liquidations that would occur if the price were to reach that level.
Liquidation Bubbles or Liquidation Levels in general appear when there is a large influx of new positions and logically, (significant) new positions lead to (significant) new liquidation levels. Liquidation Bubbles can be used to estimate the size and therefore significance of a given liquidation level. It could be argued that the price is more likely to be attracted to larger Liquidation Level Bubbles. While this is often true, it is not always the case as the strong momentum created by large positions can sustain for a prolonged period before reversing and filling the remaining levels Similarly to other features in this indicator, significant new positions are identified and filtered using standard deviation thresholds and their multipliers. New positions are considered significant when newly opened positions exceed the threshold for "Smaller Size Liquidation," leading to the creation of new liquidation levels and bubbles.
1. If new positions exceed the first standard deviation multiplier ("Smaller Size Liquidation Level"), but do not exceed “Medium Size Liquidation Level”, a smaller-sized bubble appears.
2. If new positions exceed the second standard deviation multiplier (”Medium Size Liquidation Level”), but do not exceed “Large Size Liquidation Level”, a medium-sized bubble appears.
3. If new positions surpass the third standard deviation multiplier (”Large Size Liquidation Level”), a large-sized bubble appears.
Significant opened positions are identified and filtered by size using three "thresholds" in the form of standard deviations, which can be modified in the indicator settings, in the section called "Standard Deviation Multipliers".
**Increasing** the standard deviation multipliers of Liquidation Level Bubbles effectively increases the threshold for a given bubble to occur, making the conditions for its appearance stricter.
⇒ Fewer Liquidation Levels - just larger positions are included
**Decreasing** the standard deviation multipliers of Liquidation Level Bubbles effectively decreases the threshold for a given bubble to occur, making the conditions for its appearance looser.
⇒ More Liquidation Levels - smaller positions are included
Keep in mind that this should always be the case:
*Smaller Size Liquidation Level < Medium Size Liquidation Level < Large Size Liquidation Level*
MARKET ORDER BUBBLES
"Market Order Bubbles" is my experimental concept used as a way to analyze large volumes and visualize the market activity at significant levels under certain conditions. It is based on my imitation of CVD which is also used in other parts of the script. The aim of this concept is to give you an idea about the real-time heavy market buying and selling, which could indicate eg. large liquidations, large entries/exits. in order to add confluence to your analysis. Please note that this concept is still in its early stages and may be confusing as it might have been poorly implemented. I recommend taking the time to thoroughly read through this section in order to fully understand it. On the other hand, early backtesting results appear very promising, as the win rate of countertrading buy and sell bubbles under certain conditions was fairly high (70%). I will continue working on this tool, so stay tuned for future updates.
**Market Buy Order Bubbles** appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- New short positions (sells) of “smarter” traders absorbing liquidated/closed shorts (buys)
⇒ Possible reversal to the downside - look for the liquidation levels of longs to get filled
**Market Sell Order Bubbles** appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- New long positions (buys) of “smarter” traders absorbing liquidated/closed longs (sells)
⇒ Possible reversal to the upside - look for the liquidation levels of shorts to get filled
significant volumes are identified and filtered using three “thresholds” in the form of standard deviations, which can be modified in indicator settings.
1. If buy/sell volume surpasses the first standard deviation (”**Smaller Size Market Orders**”), then the **smaller-sized bubble** appears.
2. If buy/sell volume surpasses the second standard deviation (”**Medium Size Market Orders**”), then the **medium-sized bubble** appears.
3. If buy/sell volume surpasses the third standard deviation (”**Large Size Market Orders**”), then the **large-sized bubble** appears.
**Increasing** the standard deviation multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
**Decreasing** the standard deviation multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Keep in mind that this should always be the case:
*Smaller Size Market Orders < Medium Size Market Orders < Large Size Market Orders*
COLOR CANDLES
The Color Candles function is a useful and interesting feature that will enhance your analysis with additional context. If enabled, the indicator will color the chart's candles based on different data. Currently, there are three options to choose from, with more to be added in future updates.
Color Candles: OI DELTA
This option will color the candles to reflect Open Interest Delta. If there is a net increase in open positions (positive Open Interest Delta), the candle will be colored green. If there is a net decrease in open positions (negative Open Interest Delta), the candle will be colored red. It is important to note that this option only functions on pairs for which Tradingview provides OI data
Color Candles: VOLUME
This option utilizes volume data to help you identify the trend and momentum, coloring the candles accordingly - upward impulses are colored green and downward impulses are colored red. This makes it easier to recognize trend reversals and adjust your directional bias accordingly.
Color Candles: STOCH
This option uses the Stochastic Oscillator and SMA to color the candles, helping you identify momentum as upward green moves transition to downward red moves and vice versa.
LEVERAGE RATIO
Leverage ratio is another experimental concept I have added to this script. If turned on, it provides a broad insight into whether the market is relatively over-leveraged or if the leverage is relatively low. The aim is to use it as a confluence in anticipating incoming volatility and possibly use it to understand other aspects of market activity. It is still in its early stages of development and needless to say, it only works on pairs where Open Interest data is provided by Tradingview.
Crosses above price = Leverage is relatively high
Crosses below price = Leverage is relatively low
MARKET INFO SCREENER, LEVEL LEGEND, HIDE FILLED LINES
The last three inputs of Basic Settings section:
”The Market Info Screener” feature will display a small panel on the right side of your chart that provides useful data about the market, including Open Interest, Volume, the aggressive side of traders, and the Leverage Ratio. More data coming in future updates.
"Level Legend" option will display a small legend on the right side of the chart, helping you or others viewing the chart to understand what the objects on the chart mean.
"Hide Filled Lines" option will hide liquidation levels that have already been filled, only displaying the active ones in order to reduce clutter on your chart.
APPEARANCE
The “Appearance” settings offer a variety of modifications for colors, styles, and visibility.
The "Line Style" input allows you to choose the style and width of the liquidation level lines. You can also select which levels to display, as well as the color of the liquidation level lines and bubbles. The "Max Number of Lines" input allows you to specify the number of level lines you want on a chart. If you feel that there is too much clutter, you can decrease this number, and old lines will be removed. Please note that Tradingview has a built-in limit of 500 lines on a given chart, so this value cannot be set above 500. The "Market Buy/Sell Bubble Style" input can be used to modify the color and style of the market order bubbles. Enabling the "Show Settings Screener" option will display a screener with a list of all your settings on the right side of the chart, making it easier to share your preferred settings with others."
STANDARD DEVIATION MULTIPLIERS
This is where you can set the standard deviation thresholds for Liquidation Levels and Market Order Bubbles. These values can be customized to your preference, as the default values may not be suitable for your needs or you may want to experiment with different values to see more or fewer liquidation levels or market order bubbles on your chart. Personally, I sometimes use this feature to increase the Large Size Market Orders or Large Size Liquidation Levels multipliers so that large-sized bubbles are only assigned to extremely large positions or volumes.
If you want to only analyze larger positions or volumes, you can increase the "Smaller Size" multipliers, which act as a minimum threshold.
If you also want to include even smaller positions or volumes in your analysis, you can decrease the values of the "Smaller Size" multipliers, which act as a minimum threshold
Please note that the "Reduce Sensitivity" option in Basic Settings affects the standard deviation multipliers of the liquidation levels. Changing the "Reduce Sensitivity" value will equally multiply all of them (the ratio between Smaller, Medium, and Large multiplier values will remain the same)
STANDARD DEVIATION LENGTH
"Standard Deviation Length" defines the length (number of bars) used in all calculations that utilize the standard deviation function in this script. Decreasing it will generate Liquidation Levels and Liquidation Bubbles based more on recent data. Increasing it will generate Liquidation Levels and Liquidation Bubbles based on more long-term data.
CVD LENGTH
"CVD Length" refers to the length used in calculating cumulative volumes. Decreasing it will generate Liquidation Levels, Market Order Bubbles, and apply Directional bias based more on recent data. Increasing it will generate those based on more long-term data."
LEVEL CALCULATION MODES
“Level Calculation Modes” enable you to switch between three modes of calculating the distance between the base and actual liquidation levels.
COPYRIGHT
"Copyright" option will add your username to the copyright section at the bottom of the chart, giving you credit for your analysis if you post it somewhere.
MacroCorrelation (Bitcoin Real Value)The best minds in the financial world think about how to determine the real value of an asset.
I constantly say that it is necessary to buy an asset only at the moment when its market price is below or equal to its fundamental value. Let's see what is the difference between these two concepts.
Fundamental value
Imagine that we decided to grow and sell, for example, strawberries. For this, we purchased the necessary equipment, tools, fertilizers, seeds, and more. Let's say that we needed $ 3000 for this purpose.
To facilitate the task, in our calculation we will not take into account all types of possible costs (electricity cost, workers' wages, necessary tax deductions, etc.).
If we had to take a loan to meet the initial needs, for example, at 10% per annum , then each borrowed $ 1000 in a year would cost us $ 1100. That is, $ 3000 would cost us $ 3300 per year.
Let's agree that our initial funds were completely enough to buy everything we needed, and we didn't need to take out a loan at a certain percentage. In this case, we exclude from the calculation the cost of the capital required to start your own business.
Suppose we managed to harvest 100 kg of strawberries. This means that the real value (fundamental value) of 1 kg of our strawberries is $ 30.
Market price
Things are a little different with the market price. The market price is determined by the volume of supply and demand for a particular product or service at a particular point in time.
By demand, we mean the intention to purchase a product or service (secured by the ability to pay a set price for it). A need that exceeds solvency is not a demand.
By offer, we mean the willingness to provide ownership (use) of the object of demand for a certain fee.
Simply put, the market price is the price at which the buyer is willing to buy (and the seller to sell) the volume of goods we need.
In our case, the price at which we sell 1 kg of our strawberries will depend on how much people really need our strawberries.
If we are the only sellers of strawberries in a certain territory and, at the same time, buyers really want to taste fresh strawberries, its market price can be as high as the last buyer is able to pay. If not, everything will depend on how high quality our product will be for its price. At the same time, the price constantly varies over a certain period of time ( seasonality and other factors). For example, if in winter we could sell 1 kg of our strawberries for $ 90, then in summer for $ 50. Strawberry prices range from $ 50 to $ 90.
Magic formula
We now understand what is the difference between fundamental value and market price. If the first is made up exclusively of a set of real metrics, the second is a variable factor that depends primarily on “human factors” (what is the maximum price the buyer is willing to pay, what is the minimum price the seller is willing to set at a particular moment in time).
You should try to buy an asset only at the moment when its market price is below or equal to its fundamental value.
However, how can you independently determine the fundamental value of an asset?
Unfortunately, there is no universal answer to this question, just as there is no universal “magic formula” in nature (my sincere respect, Joel Greenblatt) that could determine the fundamental value of any asset on the planet. The point is precisely in the criterion of universality. If we consider each asset (or at least the market) separately, we can well determine its fundamental value.
Even those things that seem free to us in everyday life (just their cost are negligible) have a fundamental value.
Three factors to assess the fundamental value of Bitcoin
Let's try to take a separate asset, for example Bitcoin , and do with it everything that we did earlier with our “strawberry business”.
When assessing the real (fundamental) value of Bitcoin , we will take into account 3 main factors.
1. The maximum possible and current supply in the Bitcoin market
The reward for mining a Bitcoin block is halved every 210,000 blocks. This fact is called halving (halving). When all blocks are mined, the total amount of existing bitcoins will be 21 million coins.
Accordingly, the maximum supply in the Bitcoin network will not exceed 21 million coins.
In reality, things are even better, since this volume also includes a certain amount of lost coins. By lost, we mean all those coins whose “private keys” the last owner no longer has access to. For example, at the time of the appearance of Bitcoin in 2009, its real value was doubtful and not obvious to most of its owners, many of whom did not pay due attention to understanding the safe storage of an asset, periodically losing access to hundreds and thousands of coins.
As a result, we understand that the total supply in the Bitcoin market will be significantly less than 21 million coins.
To evaluate the proposal, it is not enough to understand how much of the asset exists, because a certain amount of it, as we have already understood, can either be lost or be blocked for a long time. It is also important to take into account the criterion of “supply in time”. That is, the current total “liquidity” of the network.
2. Bitcoin network hashrate
The main indicator of the viability and stability of the Bitcoin network is the hash rate (computing power). Stable hashrate = network security.
3. The real value of the US dollar
When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar .
It is believed that assets such as stocks or cryptocurrencies are extremely volatile (the price can change over a wide range within a relatively short period of time). At the same time, to reduce volatility , experts advise using the so-called “currency baskets”.
A currency basket is a certain percentage of foreign currencies in which the investor's capital can be distributed. The ratio of currency units in the basket is used to reduce the potential risk of currency fluctuations.
The main problem is that, due to inflation , the purchasing power of the currencies themselves drops significantly over time.
With the $ 100 we earned in 1913, already in the 1920s we could have purchased 50% fewer goods and services than before. In the 1980s, it was 90% less, and in the 2010s it was already 98% less.
This fact must also be taken into account when assessing the real value of Bitcoin , since everything is relative, and in the Bitcoin / Dollar pair, we determine the value of Bitcoin , expressed in US dollars.
The real value of Bitcoin
After assessing the relationship of the factors described above and drawing up a mathematical formula, we can proceed to the analysis of the results. In order to cut off unnecessary noise when constructing the function, we will use the graph for 1 month.
Analyzing the resulting chart, first of all, the following is striking: the fundamental value of Bitcoin grows over time. This is due to the gradual expansion of the "user base" of the network, as well as the growth of its popularity among investors of completely different classes.
I propose to compare the graph obtained earlier with the graph of Internet users (in% of the number of adult US citizens ). Similar, don't they?
The more the number of Internet users, the higher its influence and economic potential. The more the number of users of the Bitcoin network, the higher its economic potential and fundamental value.
However, understanding the fundamental value alone is not enough. We, as investors, first of all need to understand when to buy any asset.
To do this, compare the chart of the market price of Bitcoin with the chart of its fundamental value obtained earlier.
Now that we have a complete picture of what is happening and understand both the fundamental value of the asset and its market price, the fact of the numerical prevalence of the price over the fundamental value for 116 out of 133 months becomes quite clear. Periods of Bitcoin being below its fundamental value are extremely rare and only take ~ 13% of the trading time.
For about 87% of all trading time, Bitcoin's market price is above its fundamental value. Those rare periods when traders are willing to sell bitcoin below its fundamental value are an incredible gift for a long-term investor.
Bull and Bear Markets
If you buy Bitcoin (like any other asset) below its fundamental value, this is an absolutely incredible idea in terms of potential profitability, who in their right mind would sell their assets below this mark ?!
It's all about the emotionality of people. Saying “I will not do stupid things when the time is right” is easier than actually maintaining composure. Especially when it comes to money. Your money. And sometimes even dreams.
The classical market theory usually divides the market into two main phases: A bull market is a period of time during which the price rises systematically (accordingly, the demands and expectations of traders gradually grow). A bear market is a period of time during which the price gradually falls (accordingly, traders' requests and expectations gradually fall).
There is also the concept of “correction”: A correction is a temporary change in the price of an asset, contrary to the main trend.
For the current day, there is not a single clear criterion that separates the concept of a bear / bull market from the concept of a correction. However, we can say with confidence that the market change (from bullish to bearish or from bearish to bullish ) is interconnected with the fundamental factors of the market. Corrections, on the other hand, have significantly less connection with fundamental indicators.
and are rather related to the “physiology of the market” (nothing can only rise in price every unit of time for a significantly long time, nothing can only fall in price every unit of time for a significantly long time).
In this case, the most rational would be to define a bear market as a delay in updating the absolute historical highs of the price with a preliminary touch of the fundamental value.
Buying below the fundamental value is always a smarter idea than buying above the fundamental value, since, in most cases, it is the touch of the fundamental value that globally separates a bear and a bull market.
Fun fact: If we were to buy Bitcoin every time it touched the fundamental value, the average buy price as of July 2021 would be $ 1,506.65, which is 87% less than the current fundamental value of Bitcoin .
Conclusions
1. The total amount of Bitcoins , as well as the speed of their production (mining) over time, are programmatically limited, which limits the volume of the maximum possible supply
2. Bitcoin is transported, which means that the volume of supply for the current minute will also depend on the actual volume of assets available for sale
3. The viability of the network is based on the amount of computer power supporting it (network hash rate)
4. When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar
5. Price ≠ fundamental value
6. Buying below the fundamental is always a smarter idea than buying above the fundamental.
7. Don't believe the headlines of financial news and the public words of financiers
8. Selling strawberries can make a fortune too
MarketReader[ENG] DARK THEMEMarket Reader is a very sophisticated indicator giving you:
-BUY and SELL Opportunities
-Key supports and resistances where the market will react
-Early detection of RANGE before the contact with the top or the bottom of the range, it will also give you the target of the top and the bottom of the range
-Pattern of smartmoney activities, giving you signal that smart money is moving at this level of price
You will also found my complete strategy on my Youtube Channel
Enjoy
Utilization requires subscription
BTC Event Contract Signal Indicator# BTC Event Contract Signal Indicator
**Version**: V1.0
**Last Updated**: December 21, 2024
**Author**: OxJohannWu
**Type**: Pine Script v6 Indicator (Overlay)
**Timeframes**: Optimized for 1-minute BTC data, supports all timeframes
## 📋 Overview
The BTC Event Contract Signal Indicator is a sophisticated technical analysis tool designed specifically for Bitcoin event contracts (binary options). This indicator provides real-time buy/sell signals with comprehensive contract tracking, performance statistics, and settlement monitoring - all displayed in Beijing time (UTC+8).
### Key Features
- **Smart Signal Generation**: Multi-layered technical analysis with adaptive filtering
- **Real-time Contract Tracking**: Monitor active contracts with automatic settlement detection
- **Performance Analytics**: Detailed win/loss statistics with daily breakdowns
- **Multi-timeframe Optimization**: Auto-adjusts parameters based on chart timeframe
- **Beijing Time Display**: All timestamps converted to Beijing timezone
- **Alert System**: TradingView alerts for all signal types
## 🎯 Trading Philosophy
This indicator combines correlation analysis, MACD momentum, and StochRSI oscillator signals to identify high-probability entry points for Bitcoin event contracts. The system prioritizes quality over quantity, using intelligent filtering to minimize false signals and maximize win rates.
## ⚙️ Parameter Configuration
### 📊 Technical Indicator Settings
- **Auto Timeframe Optimization**: Automatically selects optimal parameters based on current timeframe
- **MACD Settings**: Fast (8), Slow (21), Signal (5) - optimized for 1-minute BTC data
- **RSI Period**: 6 periods for responsive momentum detection
- **Stochastic Settings**: K smoothing (2), Period (6) for precise overbought/oversold levels
### 🔗 Correlation Analysis
- **Short-term Correlation**: 3-period correlation for immediate trend changes
- **Long-term Correlation**: 25-period correlation for broader market context
- **Correlation Slope**: Tracks momentum changes in price correlation
### 🎯 Smart Signal Optimization
Three intelligent modes to suit different trading styles:
#### Smart Balance Mode (Default)
- **Target Win Rate**: 80%+
- **Expected Signals**: 8-15 per day
- **Filtering**: 6-7 technical conditions
- **Best For**: Balanced trading with consistent profits
#### High Frequency Mode
- **Target Win Rate**: 75%+
- **Expected Signals**: 15-25 per day
- **Filtering**: 4 core technical conditions
- **Best For**: Active traders seeking more opportunities
#### Premium Quality Mode
- **Target Win Rate**: 85%+
- **Expected Signals**: 5-10 per day
- **Filtering**: 8 strict technical conditions
- **Best For**: Conservative traders prioritizing accuracy
### ⏰ Event Contract Settings
- **Contract Duration Options**: 10 Minutes, 30 Minutes, 1 Hour, 24 Hours
- **Single Contract Rule**: Only one active contract at a time
- **Auto Settlement**: Automatic win/loss detection at expiry
## 📈 Signal Generation Logic
### Core Technical Conditions
1. **Correlation Breakout**: Short-term correlation slope changes direction
2. **MACD Momentum**: MACD line above/below signal line with positive/negative slope
3. **StochRSI Position**: K-line slope changes indicating momentum shift
### Smart Filtering System
The indicator applies progressive filtering based on selected mode:
#### Basic Filters (All Modes)
- Volume above 1.4x average
- Correlation momentum confirmation
- MACD direction alignment
#### Advanced Filters (Smart Balance & Premium)
- Price action quality (body-to-wick ratio > 0.4)
- Momentum strength validation
- RSI safe zone (25-75 range)
- Optional trend filter with EMA confirmation
- Optional multi-timeframe confirmation
#### Premium Filters (Premium Quality Only)
- Enhanced volume threshold (1.8x average)
- Stricter correlation momentum (>1.0)
- Multi-timeframe EMA alignment
- Advanced momentum validation
### Signal Strength Classification
- **Normal Signals**: Basic technical alignment (small arrows)
- **Strong Signals**: Enhanced momentum + volume confirmation (large arrows)
## 🎨 Visual Display System
### Signal Arrows
- **🔼 Green Triangle Up**: Call signal (buy/long)
- **🔽 Red Triangle Down**: Put signal (sell/short)
- **💪 Enhanced Arrows**: Strong signals with special emoji indicators
### Settlement Results
- **🎉 WIN**: Profitable contracts (green)
- **💸 LOSS**: Losing contracts (red)
- **Automatic Display**: Shows results immediately upon contract expiry
### Information Labels
Each signal displays:
- Signal type (Call/Put, Normal/Strong)
- Selected mode and timeframe
- Contract duration
- Settlement results with win/loss indication
## 📊 Statistics Dashboard
### Real-time Performance Table
Located in the top-right corner, displaying:
#### Summary Statistics
- **Total Contracts**: Overall contract count
- **Overall Win Rate**: Percentage with color coding (Green: 80%+, Orange: 60-79%, Red: <60%)
- **Today's Performance**: Daily statistics with separate tracking
- **Win/Loss Breakdown**: Detailed count of profitable vs losing trades
#### Directional Analysis
- **Call Performance**: Success rate for bullish contracts
- **Put Performance**: Success rate for bearish contracts
- **Balanced Tracking**: Identifies directional bias in performance
#### System Status
- **Filter Mode**: Current smart filter status (Smart✓/Basic✗)
- **Contract Duration**: Selected timeframe
- **Beijing Time**: Real-time timestamp display
- **Current Price**: Live BTC/USDT price
- **Contract Status**: Active contract indicator (🔄 Active/✅ Ready)
## 💡 Usage Guidelines
### Optimal Setup
1. **Recommended Timeframe**: 1-minute for maximum signal frequency
2. **Symbol**: BTCUSDT or BTCUSD perpetual futures
3. **Mode Selection**: Start with "Smart Balance" for consistent performance
4. **Contract Duration**: Begin with 10-minute contracts for faster feedback
### Best Practices
- **Pre-market Analysis**: Check overall market conditions before trading
- **Risk Management**: Never risk more than 2-3% of capital per contract
- **Session Timing**: Best performance during high-volume trading sessions
- **Signal Confirmation**: Wait for arrow + label confirmation before entry
- **Performance Monitoring**: Regularly review win rate statistics
### Trading Sessions
- **Asian Session**: 00:00-08:00 Beijing Time (moderate volatility)
- **European Session**: 15:00-23:00 Beijing Time (high volatility)
- **US Session**: 21:00-05:00 Beijing Time (peak volatility)
## 🚨 Alert Configuration
### Available Alerts
1. **BTC Call Signal**: Basic bullish signal alerts
2. **BTC Put Signal**: Basic bearish signal alerts
3. **BTC Strong Call Signal**: High-quality bullish signals
4. **BTC Strong Put Signal**: High-quality bearish signals
### Alert Setup
```
Alert Condition: Select from dropdown
Frequency: Once Per Bar Close
Expiration: No expiration (for continuous monitoring)
Webhook: Optional for automated trading systems
```
### Alert Message Format
```
🚀 BTC Event Contract Call Signal
⏰ Time:
💰 Price: $
```
## 🔧 Advanced Configuration
### Parameter Optimization
- **Auto-Optimization Enabled**: Uses predefined optimized parameters
- **Manual Override**: Disable auto-optimization for custom parameter testing
- **Timeframe Adaptation**: Parameters automatically adjust for 1-min, 3-min, and higher timeframes
### Filter Customization
- **Volume Filter**: Adjustable multiplier (1.1-2.5x)
- **Trend Filter**: Optional EMA trend confirmation
- **Advanced Confirmation**: Multi-timeframe validation
- **Smart Filter**: Toggle for intelligent filtering system
## 📈 Performance Expectations
### Historical Backtesting Results
Based on extensive BTCUSDT 1-minute data testing:
#### Smart Balance Mode
- **Average Win Rate**: 78-82%
- **Daily Signals**: 10-15
- **Best Sessions**: European/US overlap
- **Recommended For**: Most traders
#### High Frequency Mode
- **Average Win Rate**: 73-77%
- **Daily Signals**: 18-25
- **Best Sessions**: High volatility periods
- **Recommended For**: Active scalpers
#### Premium Quality Mode
- **Average Win Rate**: 83-87%
- **Daily Signals**: 6-10
- **Best Sessions**: Trending market conditions
- **Recommended For**: Conservative traders
## ⚠️ Risk Warnings
### Important Disclaimers
- **High-Risk Trading**: Event contracts involve significant risk of loss
- **Market Volatility**: Cryptocurrency markets are highly volatile and unpredictable
- **No Guarantee**: Past performance does not guarantee future results
- **Capital Risk**: Only trade with funds you can afford to lose completely
### Risk Management Guidelines
- **Position Sizing**: Never risk more than 1-2% per trade
- **Daily Limits**: Set maximum daily loss limits
- **Emotional Control**: Avoid revenge trading after losses
- **Market Conditions**: Adjust exposure based on volatility
- **Continuous Monitoring**: Regularly assess indicator performance
## 🔄 Version History
### V1.0 (December 21, 2024)
- Initial English release
- Complete translation from Chinese version
- Optimized for international users
- Enhanced documentation with detailed explanations
- Maintained all original functionality and performance characteristics
## 🛠️ Technical Specifications
### Pine Script Details
- **Version**: Pine Script v6
- **Type**: Indicator with overlay=true
- **Max Objects**: 500 boxes, 500 labels
- **Memory Optimization**: Efficient array and map usage
- **Performance**: Optimized for real-time execution
### System Requirements
- **Platform**: TradingView Pro, Pro+, or Premium
- **Browser**: Modern browser with JavaScript enabled
- **Connection**: Stable internet for real-time data
- **Display**: Minimum 1080p resolution recommended
## 📞 Support & Updates
### Getting Help
- **Documentation**: Refer to this comprehensive guide
- **Common Issues**: Check parameter settings and timeframe compatibility
- **Performance**: Verify market conditions and volatility levels
### Update Policy
- **Regular Updates**: Continuous optimization based on market conditions
- **Version Tracking**: All changes documented with version numbers
- **Backward Compatibility**: Settings preserved across updates
---
**Disclaimer**: This indicator is for educational and analysis purposes only. Trading cryptocurrencies and event contracts involves substantial risk. Always conduct your own research and consider your risk tolerance before trading. The authors are not responsible for any trading losses incurred through the use of this indicator.
abusuhil zonewatch
**Detailed Description of the “abusuhil zonewatch” Indicator and How to Use It**
---
## 1. General Overview
The **“abusuhil zonewatch”** indicator on TradingView is a comprehensive tool that combines four main features:
1. **User-Defined Horizontal Price Lines (Price Lines)** – allows you to draw up to seven custom support/resistance levels and receive alerts when price breaks them.
2. **ZoneWatch Multi-Timeframe Table** – displays the status of several technical indicators across seven timeframes (from 1 minute to 1 day) for the current instrument, marking each as “✓” (positive) or “✗” (negative), plus a summary percentage of positive signals per timeframe.
3. **Dominance Watch Table** – applies the same set of indicators to a chosen “dominance symbol” (e.g., BTC.D, ETH.D, or ETH/BTC) across the same seven timeframes, again showing “✓/✗” and a summary percentage.
4. **Smart Alerts** – two types of alerts:
* **ZoneWatch Smart Technical Alert**: triggers when a predefined percentage of indicators are positive simultaneously in selected timeframes.
* **Any Line Break Alert**: triggers the moment price closes above any active horizontal price line.
Together, these features give you both a quick visual of where price is relative to your manually drawn levels and a multi-timeframe technical read on both the instrument itself and its market dominance, with built-in alert logic.
---
## 2. Horizontal Price Lines (Price Lines)
### 2.1. Available Settings
* **Seven Price Lines** (Line 1 through Line 7), each with:
1. **Enable/Disable Checkbox** “Enable Line X”
2. **Price Input** “Line X Price” (user enters the exact price level)
3. **Color Picker** “Line X Color”
### 2.2. How It Works
* When you enable a line and specify a price and color, the script draws a horizontal line on the chart that extends 500 bars to the left and 500 bars to the right.
* If the price closes above that line (a bullish crossover), a small triangle shape (▲) in the same color appears directly beneath the candle that closed above it.
### 2.3. Practical Benefit
* You can mark key support or resistance levels without manually drawing them each time.
* The triangle alert clearly shows the exact candle that broke your level, letting you enter a trade or adjust your stop-loss precisely when it happens.
---
## 3. ZoneWatch Multi-Timeframe Table
### 3.1. Table Settings
* **Table Position**: Default is Top Right (“top\_right”), but you can choose Top Left, Bottom Left, or Bottom Right.
* **Font Size**: Adjustable from 6 to 24 points for readability.
* **ADX Threshold**: Default is 25 (range 10–50). This threshold is used when evaluating the ADX indicator for strength of trend.
### 3.2. Indicators Included (User Can Show/Hide Each)
1. **RSI (Relative Strength Index)**: RSI(14) > 50
2. **MACD (Moving Average Convergence Divergence)**: MACD Line > Signal Line (from MACD(12,26,9))
3. **Volume**: Current Volume > SMA(Volume, 20)
4. **SMA50**: Close Price > SMA(Close, 50)
5. **SMA200**: Close Price > SMA(Close, 200)
6. **Stochastic RSI**: %K > %D (from stoch(close, high, low, 14) and its 3-period SMA)
7. **VWAP (Volume-Weighted Average Price)**: Close Price > VWAP
8. **ADX (Average Directional Index)**: ADX(14) > ADX Threshold
You can enable or disable any of these eight via checkboxes in the inputs.
### 3.3. Timeframes Covered
The table applies all chosen indicators to seven different timeframes, each via `request.security` calls:
* **1m** (1 minute)
* **5m** (5 minutes)
* **15m** (15 minutes)
* **30m** (30 minutes)
* **1h** (1 hour)
* **4h** (4 hours)
* **1D** (1 day)
### 3.4. Table Layout and Logic
* **Top Row (Column Headers)**: Lists the seven timeframes (1m, 5m, 15m, 30m, 1h, 4h, 1D).
* **Next Rows (Indicator Rows)**: Each row corresponds to one of the enabled indicators (e.g., RSI, MACD, Volume, etc.). For each timeframe column, it shows:
* “✓” if the indicator condition is positive (e.g., RSI > 50 in that timeframe).
* “✗” if the condition is negative.
* Background coloring:
* Green (semi-transparent) if “✓”
* Red (semi-transparent) if “✗”
* **Bottom Row (Summary)**: Calculates how many of the enabled indicators are positive (“✓”) in each column (timeframe), then converts to a percentage:
* Percentage = (Number of “✓” symbols ÷ Total Number of Enabled Indicators) × 100
* If the percentage ≥ 75%, the cell background is light green.
* If 50% ≤ percentage < 75%, the cell background is light orange.
* If percentage < 50%, the cell background is light red.
### 3.5. Practical Benefit of the ZoneWatch Table
1. **Instant Multi-Timeframe Snapshot**
* You don’t need to switch between seven separate charts to see whether RSI, MACD, Volume, etc., are positive or negative in each timeframe.
* The table consolidates everything into one compact view, saving time.
2. **Identify the Strongest Timeframe Quickly**
* If you see, for example, that the 1h column has 6 out of 8 indicators positive (75%), you know the 1h is currently showing strong bullish momentum.
* You can use that as your primary trading timeframe or to confirm a trade you plan to enter in a shorter timeframe.
3. **Quantified Trend Strength**
* The Summary percentage row gives you an at-a-glance score of how “in agreement” the indicators are.
* If Summary ≥ 75% on a timeframe, you might treat that timeframe as particularly strongly trending, and plan trades accordingly.
4. **Customize to Your Strategy**
* Disable indicators you don’t use (e.g., if you never trade based on VWAP, simply uncheck it).
* Adjust the ADX threshold based on how strong you want that filter to be.
---
## 4. ZoneWatch Alerts
### 4.1. Smart Technical Alert
* **Purpose**: To notify you the moment a specified percentage of indicators are positive simultaneously in chosen timeframes.
* **Configuration**:
* **Enable Alerts** checkbox toggles the feature on/off.
* For each monitored timeframe (15m, 1h, 4h), you specify a “Required %” (e.g., 80% for 15m, 70% for 1h, 60% for 4h).
* When the Summary percentage for **all** selected timeframes is at or above the designated “Required %,” the indicator triggers the “ZoneWatch Smart Technical Alert.”
* **Benefit**:
* Ensures you only get a pop-up/email/push notification when multiple indicators align across multiple timeframes, reducing “noise” from single-timeframe signals.
* Helpful for traders who want to be alerted the moment a multi-timeframe consensus forms, rather than checking each timeframe manually.
### 4.2. Any Line Break Alert
* **Purpose**: To notify you immediately when price closes above any active horizontal Price Line.
* **How It Works**:
* For each enabled line (Line 1–Line 7), the script checks `ta.crossover(close, priceX)` (meaning price closing above priceX).
* If a crossover occurs on a given bar, the “Any Line Break Alert” triggers.
* **Benefit**:
* You don’t have to watch the chart constantly. As soon as price closes above your chosen level, you get an alert and can act (enter a long, adjust a stop, etc.).
---
## 5. Dominance Watch Table
### 5.1. What Is “Dominance”?
* **Dominance (e.g., BTC.D, ETH.D)** measures the proportion of total cryptocurrency market capitalization represented by Bitcoin or Ethereum.
* If **BTC.D** (Bitcoin Dominance) rises, more capital is flowing into Bitcoin relative to Altcoins.
* If **BTC.D** falls, more capital is moving into Altcoins.
* **ETHBTC** is simply the ETH/BTC trading pair—when ETHBTC is strong, Ethereum is outperforming Bitcoin.
### 5.2. Table Settings for Dominance
* **Dominance Symbol**: You choose from a dropdown:
* `CRYPTOCAP:BTC.D` (Bitcoin Dominance)
* `CRYPTOCAP:ETH.D` (Ethereum Dominance)
* `ethbtc` (ETH vs. BTC)
* `CRYPTOCAP:TOTAL` (Total Crypto Market Dominance)
* `CRYPTOCAP:TOTAL2` (Dominance of certain Altcoin categories)
* **Font Size**: Adjustable 8–24.
* **Table Position**: Default Bottom Right, but you can move it to any corner.
* **ADX Threshold**: Set between 10 and 50 to define “strong trend” for dominance.
### 5.3. Indicators Applied to Dominance
Exactly the same eight indicators used in ZoneWatch are now applied to whichever dominance symbol you select, over the same seven timeframes:
1. **RSI(14) > 50** for dominance price.
2. **MACD(12,26,9): MACD Line > Signal Line**.
3. **Volume > SMA(Volume, 20)**.
4. **Close Price > SMA(Close, 50)**.
5. **Close Price > SMA(Close, 200)**.
6. **Stochastic RSI: %K > %D** (from `stoch` plus its 3-period SMA).
7. **Close Price > VWAP**.
8. **ADX(14) > Dominance ADX Threshold**.
Each is evaluated via `request.security(symbolDominance, timeframe, …)`.
### 5.4. Table Layout and Logic
* **Top-Left Cell**: Displays the chosen dominance symbol (e.g., `CRYPTOCAP:BTC.D`), so you immediately know which dominance metric the table refers to.
* **Top Row (Headers)**: The seven timeframes (1m, 5m, 15m, 30m, 1h, 4h, 1D).
* **Indicator Rows**: One row per indicator (RSI, MACD, Volume, SMA50, …, ADX).
* Each cell shows “✓” if that indicator is positive in that timeframe for the chosen dominance symbol, or “✗” if negative.
* Background: Light green if “✓,” light red if “✗.”
* **Bottom Row (“Result %”)**:
* Counts how many of the eight indicators show “✓” in that timeframe, then calculates a percentage out of eight:
* Result % = (Number of “✓” symbols ÷ 8) × 100
* If Result % ≥ 50%, the cell background is light green. Otherwise, it is light red.
### 5.5. Practical Benefit of the Dominance Watch Table
1. **Gauge Where Money Is Flowing**
* A high bullish Result % in BTC.D suggests capital is rotating into Bitcoin.
* A low BTC.D Result % suggests capital is moving into Altcoins.
* A high Result % in ETHBTC indicates Ethereum is outperforming Bitcoin at the moment.
2. **Confirm or Reject Trades**
* If you plan to buy an Altcoin, you might wait until BTC.D Result % is below 50%—meaning money is leaving Bitcoin for other cryptocurrencies.
* If you plan to buy Bitcoin, you’d like to see BTC.D Result % above 50% (signals aligning toward more Bitcoin dominance).
* To switch between BTC and ETH, use ETHBTC: if its Result % is above 50%, Ethereum strength is stronger than Bitcoin strength right now.
3. **Synergy with ZoneWatch**
* If ZoneWatch says BTC/USD is very bullish on 1h (for example, 70% of indicators positive), and BTC.D is also bullish (80% positive), that confirms broader Bitcoin strength—offering extra confidence in a Bitcoin trade.
* If ZoneWatch is bullish on an Altcoin pair but BTC.D is also strong, that may signal caution—money might flow back into Bitcoin before pumping Alts.
---
## 6. How to Use the Indicator in Practice
### 6.1. Choose Your Timeframes and Indicators
* Decide which timeframes are most relevant to your style (scalping—1m to 15m; swing—1h to 4h; position—1D).
* In **ZoneWatch settings**, enable only the indicators you actually use. For example, if you don’t trade based on VWAP, simply uncheck “Show VWAP.”
* Adjust the **ADX Threshold** to your preference: a higher threshold (e.g., 30) means you only count ADX as positive when trend strength is very strong; a lower threshold (e.g., 20) is more sensitive.
### 6.2. Draw and Monitor Price Lines
* Under “Price Lines,” enable the lines (1–7) that correspond to support/resistance levels you’ve identified on the chart. Enter their exact prices and pick distinct colors.
* When the price closes above a line (a bullish break), you’ll see a small ▲ marker beneath the candle. That is your cue to check the ZoneWatch and Dominance tables for confirmation before entering a trade.
### 6.3. Read the ZoneWatch Table for Multi-Timeframe Confirmation
* Look at the **Summary %** row to see which timeframes have the highest percentage of positive indicators.
* For instance:
* If **1h** is 75% (6 out of 8 indicators positive), that indicates a fairly strong bullish bias on the 1-hour chart.
* If **4h** is only 40%, that suggests the 4-hour timeframe isn’t confirming bullish momentum—proceed with caution on longer trades.
* Use this to choose the “main” timeframe for your trade or to confirm a pattern you see on the price chart.
### 6.4. Check the Dominance Watch Table for Liquidity Flow
* Select the dominance symbol you need: e.g., `CRYPTOCAP:BTC.D` if you’re deciding whether to trade Bitcoin or Altcoins.
* If **BTC.D Result % ≥ 60%** on the 4h or 1D timeframe, that signals that Bitcoin is currently commanding more market share, which is bullish for Bitcoin and potentially bearish for Altcoins.
* If **BTC.D Result % < 50%** while your ZoneWatch is bullish on an Altcoin pair, that means money is indeed flowing into Alts—reinforcing an Altcoin trade.
* For ETH vs. BTC decisions, use **ETHBTC**: if ETHBTC Result % ≥ 50%, Ethereum is stronger than Bitcoin right now.
### 6.5. Set Up Smart Alerts
1. **ZoneWatch Smart Technical Alert**:
* Enable it, then choose which timeframes you want to monitor (e.g., 15m and 1h).
* Set “Required % 15m = 80%,” “Required % 1h = 70%.”
* Once both 15m and 1h summary percentages meet or exceed those thresholds, you receive an on-screen alert or e-mail/push (depending on your TradingView alert settings).
2. **Any Line Break Alert**:
* As soon as price closes above any enabled line, you get a separate alert. No need to watch the chart continuously; you’ll be notified the instant a level breaks.
### 6.6. Entry, Stop-Loss, and Take-Profit Strategy
* **Entry**:
1. Price breaks your chosen horizontal line (look for ▲ marker).
2. ZoneWatch summary % for your target timeframe is above your desired threshold (e.g., ≥ 70%).
3. Dominance Watch is aligned (e.g., BTC.D ≥ 60% if buying Bitcoin, or BTC.D < 50% if buying Altcoins).
4. Then place your buy/sell order.
* **Stop-Loss**:
* Place just below (for longs) or above (for shorts) the last broken Price Line or a relevant moving average (e.g., SMA50) that is negative in ZoneWatch.
* **Take-Profit**:
* Monitor ZoneWatch: if summary % drops below a certain level (e.g., from 70% to 50%), that may signal waning momentum—consider taking profits.
* Also watch Dominance: if BTC.D surges while you hold an Altcoin, it may be time to exit or rotate to Bitcoin.
---
## 7. Key Takeaways and Benefits
1. **Integrated Price + Dominance Analysis**
* By combining user‐drawn support/resistance (Price Lines) with a multi-timeframe technical read and a dominance/market-share read, you get a full picture of both price action and where market liquidity is flowing—essential for high-probability trade setups.
2. **Quantified, Objective Signals**
* Instead of interpreting charts subjectively, ZoneWatch turns each indicator into a “✓/✗” binary, and the Summary % gives you a clear numerical score of how bullish or bearish each timeframe is.
* Dominance Watch does the same for market-share indicators—no guessing, just numbers.
3. **Time Savings & Simplicity**
* Rather than opening seven chart tabs and reviewing eight indicators on each, you get everything in two compact tables.
* You can immediately see whether, for example, the 1h is bullish or bearish across multiple metrics, plus whether Bitcoin or Ethereum dominance is going in your favor.
4. **Highly Customizable**
* Enable or disable any of the eight indicators.
* Adjust the ADX thresholds for either the instrument or the dominance symbol.
* Move and resize tables to fit your chart layout.
* Choose exactly which timeframes and percentage thresholds to use for smart alerts.
5. **Actionable Alerts**
* **Smart Technical Alerts** let you know the moment multiple indicators align across multiple timeframes.
* **Line Break Alerts** notify you instantly when price breaks your important levels.
6. **Multi-Strategy Compatibility**
* Scalpers can focus on 1m–15m signals.
* Swing traders can rely on 1h–4h signals.
* Position traders and investors can watch the daily (1D) summary.
* All with the same single Pine v6 script.
---
### In Summary
The **“abusuhil zonewatch”** indicator is a one-stop solution for:
* **Drawing and monitoring key price levels** with instant alerts on breaks.
* **Gauging technical momentum** across seven timeframes for any TradingView symbol.
* **Tracking market dominance metrics** (BTC.D, ETH.D, ETH/BTC, etc.) in parallel, using the same technical indicators.
* **Receiving intelligent, multi-timeframe alerts** when your predefined criteria are met.
By consolidating all of these functions into one Pine v6 script, you save hours of manual charting and multi-tab analysis—delivering a clear, actionable read on both price action and market liquidity flows. Whether you are a day trader, swing trader, or long-term investor, this tool empowers you with objective, quantified signals on both the instrument and its broader market context.
---------------------------------------------------------------------------------------------------------------------
**وصف دقيق وتفصيلي لمؤشر “abusuhil zonewatch” وخدماته وكيفية الاستفادة منه**
---
## ١. لمحة عامة عن المؤشر
“abusuhil zonewatch” هو أداة تقنية متكاملة مخصّصة لمنصّة TradingView، تجمع بين:
1. **رسم خطوط سعرية أفقية يحدّدها المستخدم** (Price Lines).
2. **جدول متعدّد الأُطُر الزمنية (ZoneWatch Table)** لعرض حالة مجموعة من المؤشرات الفنية عبر سبعة أُطر زمنية (من الدقيقة إلى اليومي).
3. **جدول دوميننس موازٍ (Dominance Watch Table)** لتحليل هيمنة البيتكوين/الإيثيريوم (أو “ethbtc”) باستخدام نفس المؤشرات الفنية على نفس الأُطر الزمنية.
4. **تنبيهات ذكية** تُنبّه عند تحقق شروط فنية محدّدة:
* توافق الأغلب من المؤشرات (ZoneWatch Smart Technical Alert).
* كسر السعر لأيٍّ من الخطوط الأفقية (Any Line Break Alert).
بهذه الوظائف، يمكّن المؤشر المتداول أو الباحث من تتبُّع مستويات سعرية أساسية يختارها بنفسه، وفحص حالة الزخم والاتجاه الفني لأصل معين (سعره) مع ربط ذلك بتحليل هيمنة السوق (Dominance) في آنٍ واحد.
---
## ٢. رسم الخطوط الأفقية (Price Lines)
* **الإعدادات المتوفرة**
* سبع مستويات سعرية (Line 1 إلى Line 7).
* لكل مستوى:
1. تفعيل/تعطيل (Enable Line X).
2. رقم السعر المطلوب (Line X Price).
3. لون الخط (Line X Color).
* **آلية العمل**
* إذا فعَّل المستخدم مستوى سعر وخطّ لونَّه، يُرسم هذا الخط أفقيًا على الشارت ممتدًّا 500 شمعة إلى اليسار و500 شمعة إلى اليمين.
* في لحظة اختراق السعر (إغلاق شمعة صاعدًا) للخارج أعلى الخط، تظهر علامة (مثلث صغير) أسفل الشمعة بلون الخط نفسه، دلالة على كسر المقاومة (أو إذا كان المستوى أردناً، دلالة على اختراقه صعودًا).
* **الفائدة العملية**
* رسم مستويين أو ثلاثة أو أكثر لتمثيل مناطق دعم/مقاومة يهمّك مراقبتها دون الحاجة للرسم يدويًا كلّ مرة.
* الإشارة المرئية (مثلث) تسهل عليك تحديد اللحظة الدقيقة لكسر السعر للمستوى، مما يتيح سرعة في فتح صفقة أو تعديل أوامر وقف الخسارة.
---
## ٣. جدول ZoneWatch الفني (ZoneWatch Table)
### ٣.١. مكونات الجدول
* **الموقع الافتراضي:** في الزاوية اليمنى العليا (Top Right) من الشارت (قابل للتعديل بين أعلى يسار، أعلى يمين، أسفل يسار، أسفل يمين).
* **حجم الخط:** قابل للتعديل بين 6 و24 نقطة حسب تفضيل المستخدم.
* **عتبة ADX (ADX Threshold):** قيمة يمكن ضبطها (افتراضيًا 25) لاستخدامها في اختبار قوة الاتجاه.
### ٣.٢. المؤشرات الفنية المدرجة
يمكن للمستخدم إظهار أو إخفاء كلٍ مما يلي بحسب رغبته، عبر مربعات اختيار (Checkboxes):
1. **RSI (Relative Strength Index):** يُختبر إذا كان RSI (14) > 50.
2. **MACD (Moving Average Convergence Divergence):** يُختبر إذا كان خط MACD > خط الإشارة.
3. **حجم التداول (Volume):** يُختبر إذا كان الحجم الحالي > متوسط SMA20 للحجم.
4. **SMA50:** يُختبر إذا كان سعر الإغلاق > متوسط SMA50.
5. **SMA200:** يُختبر إذا كان سعر الإغلاق > متوسط SMA200.
6. **Stochastic RSI:** يُختبر إذا كان خط %K > خط %D (من حساب Stoch RSI (14)).
7. **VWAP:** يُختبر إذا كان سعر الإغلاق > قيمة VWAP.
8. **ADX (Average Directional Index):** يُختبر إذا كانت قراءة ADX (من DMI (14,14)) > العتبة المحدّدة.
### ٣.٣. الأُطُر الزمنية المشمولة
يتم تطبيق كل مؤشر على سبعة أُطر زمنية منفصلة باستخدام دالة `request.security`، وهي:
* 1m (دقيقة واحدة)
* 5m (خمس دقائق)
* 15m (خمسة عشر دقيقة)
* 30m (ثلاثون دقيقة)
* 1h (ساعة واحدة)
* 4h (أربع ساعات)
* 1D (يومي)
### ٣.٤. طريقة العرض في الجدول
* **الصف الأول**: يحتوي على عناوين الأعمدة، وهي الأُطُر الزمنية (1m، 5m، …، 1D).
* **الصفوف التالية**: كل صف يخص مؤشرًا واحدًا (على سبيل المثال: صف RSI، صف MACD، صف Volume، …).
* تظهر في كل خلية علامة “✓” إذا كانت نتيجة المؤشر إيجابية في هذا الإطار، أو “✗” إذا كانت سلبية.
* لون خلفية الخلية يكون أخضر شفّاف عند الإشارة الإيجابية، أو أحمر شفّاف عند الإشارة السلبية.
* **الصف الأخير (Summary)**:
* يجمع عدد المؤشرات المفعّلة التي أظهرت علامة “✓” في كل عمود (أي في كل إطار).
* يحسب النسبة المئوية:
$$
\text{نسبة} = \bigl(\frac{\text{عدد العلامات الإيجابية (✓)}}{\text{إجمالي المؤشرات المفعّلة}}\bigr) \times 100
$$
* يُلوّن خلفية الخلية:
* أخضر شفاف إذا كانت النسبة ≥ 75%.
* برتقالي شفاف إذا كانت النسبة بين 50% و75%.
* أحمر شفاف إذا كانت النسبة < 50%.
### ٣.٥. الفائدة العملية من جدول ZoneWatch
1. **رؤية فورية لحالة الزخم والاتجاه متعدد الأُطُر الزمنية**:
* بدلاً من فتح سبع نوافذ مختلفة لكل إطار زمني، تحصل على ملخص مركّز باتجاه كل إطار ومؤشرات الزخم.
2. **تمييز الإطارات التي تشهد توافقًا فنيًا قويًا**:
* إذا رأيت عمود 1h يحتوي على ثلاث مؤشرات صاعدة من أصل أربعة أو خمسة مفعّلة، فهذا يعكس زخمًا إيجابيًا متوسّط الأجل.
3. **التخطيط واتخاذ القرار السريع**:
* يمكنك ـ على سبيل المثال ـ تأجيل فتح صفقة جديدة حتى يتحقق ملخص ≥ 70% على إطار 4h، ما يمنحك دلالة قوية على صعود/هبوط مستمر.
4. **تقليل “ضجيج” البيانات**:
* بدلاً من متابعة أرقام مؤشرات منفصلة في كل إطار، تكتفي بقراءة الرموز “✓/✗” والنسب المئوية، ما يسرّع عملية التحليل.
---
## ٤. تنبيهات ZoneWatch (Alerts)
### ٤.١. ZoneWatch ‒ Smart Technical Alert
* **الهدف:** إرسال إشعار عندما تكون نسبة الملخص (Summary) في إطار زمني معيّن أو أكثر أكبر من عتبة تحدّدها.
* **ضبط الإعدادات**:
* يمكن اختيار مراقبة ثلاثة أُطر زمنية بشكلٍ منفرد (15m، 1h، 4h).
* لكل إطار، تحدّد “Required %” (على سبيل المثال: 80% في 15m، 70% في 1h، 60% في 4h).
* إذا بلغت النسبة المئوية الملخّصة في كل إطار نشط القيمة المطلوبة أو أكثر، يُرسل التنبيه.
* **كيفية الاستفادة**:
* يسمح لك برفع الحدّ الأدنى المطلوب من اتفاق المؤشرات لكي تتلقى إشعارًا.
* يقلّص تنبيهات “الضجيج” ويُركّز على اللحظات التي يتحقق فيها توافق فني كبير عبر أكثر من إطار.
* بمجرد وصول النسب إلى العتبات المحددة، يمكنك فتح صفقة أو تعديل مراكزك مع العلم بأن الزخم موجود ومتوافق على أكثر من إطار.
### ٤.٢. ZoneWatch ‒ Any Line Break Alert
* **الهدف:** إرسال إشعار فوري عندما يخترق السعر أيًّا من الخطوط الأفقية المفعّلة إلى الأعلى.
* **آلية العمل**:
* لكل خط مفعّل، يُربط اختراق السعر (Crossover) بإشارة تنبيه.
* عند إغلاق شمعة يصعود فيها السعر فوق مستوى الخط، يُرسل التنبيه.
* **كيفية الاستفادة**:
* يتيح لك مراقبة مستويات دعم/مقاومة مهمة دون النظر المستمر إلى الشارت.
* بمجرد كسر السعر للمستوى، تحصل على تنبيه فوري بوقوع كسر مقاومة أو اختراق دعم، فتكون مستعدًا لدخول الصفقة أو تعديل وقف الخسارة.
---
## ٥. جدول Dominance Watch (Dominance Watch Table)
### ٥.١. مقدّمة حول “الدوميننس”
* **الدوميننس (Dominance)**: هو مصطلح يشير إلى نسبة سيولة سوقٍ محدّد (مثل سيولة البيتكوين) ضمن السوق الكلي للعملات الرقمية.
* إذا ارتفع “BTC.D” (هيمنة البيتكوين)، فهذا يعني أنّ سيولة أكبر تتدفق إلى البيتكوين مقارنةً بالعملات الأخرى.
* إذا انخفض “BTC.D”، فهذا يعكس أن السيولة تتحرك أكثر إلى العملات البديلة (Altcoins).
* **“ethbtc”**: هو ثنائي يعبّر عن سعر الإيثيريوم مقابل البيتكوين؛ ازدياده يعني أن الإيثيريوم يكسب زخمًا نسبيًّا مقابل البيتكوين.
### ٥.٢. إعدادات جدول Dominance Watch
* **رمز الدوميننس (Dominance Symbol)**:
* قائمة منسدلة تضمّ:
* `CRYPTOCAP:BTC.D` (هيمنة البيتكوين)،
* `CRYPTOCAP:ETH.D` (هيمنة الإيثيريوم)،
* `ethbtc` (سعر ETH مقابل BTC)،
* `CRYPTOCAP:TOTAL` (هيمنة سوق العملات الرقمية الكليَّة)،
* `CRYPTOCAP:TOTAL2` (هيمنة سوق العملات الخاصة/محدّدة).
* **حجم الخط (Font Size)**: قابل للتعديل بين 8 و24 نقطة.
* **موقع الجدول (Table Position)**: مثلاً “bottom\_right” أو أي زاوية أخرى يختارها المستخدم.
* **عتبة ADX (Dominance ADX Threshold)**: بين 10 و50 لتحديد قوة اتجاه الهيمنة.
### ٥.٣. المؤشرات الفنية المُطبَّقة على الدوميننس
يُطبَّق نفس ثمانية المؤشرات المُستعملة في ZoneWatch، ولكن على “قيمة الدوميننس/سعر ethbtc” عبر سبعة أُطر زمنية:
1. **RSI (14) > 50**.
2. **MACD (12,26,9): خط MACD > خط الإشارة**.
3. **حجم التداول > SMA20 للحجم** (للسعر/الدوميننس نفسه).
4. **سعر الإغلاق > SMA50**.
5. **سعر الإغلاق > SMA200**.
6. **Stochastic RSI: %K > %D**.
7. **سعر الإغلاق > VWAP**.
8. **ADX (DMI (14,14)) > العتبة المحددة**.
### ٥.٤. طريقة العرض في جدول Dominance Watch
* **الصف الأول**: يظهر في الخلية اليسرى العليا اسم رمز الدوميننس المختار (مثلاً `CRYPTOCAP:BTC.D`).
* **عناوين الأعمدة**: تبيّن الإطارات الزمنية (1m، 5m، 15m، 30m، 1h، 4h، 1D).
* **الصفوف التالية**: كل صف عبارة عن مؤشِّر (“RSI”، “MACD”، “Volume”، …).
* في كل خلية، تظهر “✓” إذا كانت نتيجة المؤشر إيجابية في ذلك الإطار (مثلاً: RSI > 50)، أو “✗” إذا كانت سلبية.
* لون خلفية الخلية: أخضر شفّاف للإيجابية، أحمر شفّاف للسلبية.
* **الصف الأخير (Result %)**:
* يجمع عدد “✓” من إجمالي 8 مؤشرات مُفعّلة، ثم يحسب النسبة المئوية.
$$
\text{نسبة DOM} = \bigl(\frac{\text{عدد العلامات الإيجابية}}{8}\bigr) \times 100
$$
* إذا كانت النسبة ≥ 50%، تُلوّن الخلفية أخضر شفاف؛ إذا أقلّ من 50%، تُلوَّن بالأحمر الشفاف.
### ٥.٥. الفائدة العملية من جدول Dominance Watch
1. **فهم اتجاه السيولة العام**:
* إذا كانت لوحة “BTC.D” اليومي فيها 6 أو 7 مؤشرات صاعدة (أي علامة “✓”)، فهذا دليل على زخم هيمنة البيتكوين وميول السوق للانتقال من العملات البديلة → البيتكوين.
* إذا كانت “ethbtc” 70% إيجابية على الإطار 1h، فهذا يعني أن قيمة الإيثيريوم تكسب زخمًا نسبيًّا أمام البيتكوين.
2. **دعم القرار**:
* عند شراء عملة بديلة (Altcoin)، يكون بعيدًا عن البيتكوين عمومًا؛ لذلك إذا انخفضت هيمنة البيتكوين (DOM أقلّ من 50–60%) وزادت إشارات “ethbtc”، قد تكون فرصة أفضل لدخول Altcoins.
* عند التفكير في شراء بيتكوين، فمن المفيد التأكد أن “BTC.D” إيجابي بمعظم مؤشرات RSI/ADX/… إلخ، للدلالة على مزيد من سيولة تدخل البيتكوين.
3. **التوقيت المشترك** مع ZoneWatch:
* استخدم “ملخص النسبة” في Dominance Watch لدعم أو رفض إشارة ZoneWatch.
* مثال عملي:
* إذا حضرنا إشارة ZoneWatch إيجابية 75% في إطار 1h للـ BTC/USD، ولكن Dominance Watch (BTC.D) سلبي بنسبة أقلّ من 40%، فقد يعكس هذا أن السيولة تتجه للـ Altcoins وليس للبيتكوين، وقد ننتظر تعديلًا أو نتوخّى الحذر.
---
## ٦. كيفية الاستفادة المتكاملة
1. **اختيار الإطار الزمني الرئيسي**
* قرّر ما إذا كنت متداولًا سريعًا (scalper) يركز على الإطارات 1m–15m، أو سوينغ تريدر يفضل 1h–4h، أو مستثمر يتابع الخلية اليومية (1D).
* فعّل أو أوقف مؤشرات ZoneWatch التي لا تتناسب مع استراتيجيتك (مثلاً، إذا كنت تعتمد فقط RSI و MACD و ADX في التداول اليومي، فأوقف “Volume” و“SMA200” إن لم تعدّها ضرورية).
2. **مراقبة Price Lines**
* حدد مستويات دعم/مقاومة حرجة تراها من تحليلك السابق على الشارت (مثل قمة تاريخية سابقة أو مستوى فيبوناتشي مهم).
* عندما يكسر السعر مستوى مفعّل صعودًا، سترى مثلثًا أخضر صغير أسفل الشمعة. هذا توقيت جيد لمراجعة قيمة المؤشرات في ZoneWatch وDominance Watch.
3. **قراءة ملخص ZoneWatch**
* اطلع على الصف الأخير (Summary) وقارن نسب “✓” بين الأعمدة.
* إذا كان عمود 4h عنده 70% من المؤشرات صاعدة (أي 5 من 7 أو 6 من 8)، فهذا يعني أن الإطار المتوسط الأمد يميل بقوة للاتجاه الصاعد، ويُعطيك ثقة أعلى في احتمال استمرار الصعود.
* بالمقابل، إذا كان ملخص 1h سلبيًا (أقل من 50% مؤشرات صاعدة)، قد يعني ذلك حدوث تصحيح جزئي قبل مواصلة الصعود.
4. **التأكد من Dominance Watch**
* إذا كنت تريد شراء بيتكوين، فتأكد من أن “BTC.D” يعرض نسبة ≥ 50–60% مشجّعًا على زيادة هيمنة البيتكوين.
* إذا كنت تفكر في Altcoins، افحص “BTC.D”: إذا ظهرت نسبة أقل من 50%، فهذا دليل على توزيع السيولة باتجاه Altcoins.
* إذا أردت التبديل من بيتكوين إلى إيثيريوم، يمكنك متابعة “ethbtc”: عندما يكون ملخص “ethbtc” على 4h ≥ 70%، يصبح انتقال السيولة إلى ETH محتملًا.
5. **ضبط التنبيهات الذكية**
* للاستخدام الأمثل لخاصية “Smart Technical Alert” في ZoneWatch، حدّد العتبات بناءً على مخاطرتك المقبولة.
* مثلاً:
* “Required %15m” = 75%،
* “Required %1h” = 65%،
* “Required %4h” = 60%.
* عندما تتحقق هذه النسب في الوقت نفسه، ستحصل على تنبيه، فتقوم بتفحُّص Dominance Watch بسرعة؛ إن كان الـ“BTC.D” أو “ethbtc” يدعم قرارك، تدخل الصفقة بثقة أعلى.
6. **قرارات الدخول والخروج**
* **دخول الصفقة (Long/Short):**
1. تأكّد من أن ملخص ZoneWatch في الإطار الذي تستهدفه أعلى من العتبة (على الأقل 60–70%).
2. تأكّد من أن Dominance Watch (التابع للرمز المناسب: BTC.D أو ethbtc) يظهر دعمًا سليماً (≥ 50–60% من المؤشرات إيجابية).
3. إذا كان السعر قد كسر مستوى مقاومة في Price Lines، فهذا يمثل تأكيدًا إضافيًا لفتح صفقة شراء.
* **وقف الخسارة (Stop Loss):**
* يُمكنك وضعه أسفل أحدث دعم في Price Lines، أو أسفل متوسط SMA50 أو SMA200 الذي يظهر سلبيًا في ZoneWatch.
* **جني الأرباح (Take Profit):**
* راقب لحظة انعكاس المؤشرات: إذا قلّت نسبة ملخص ZoneWatch (مثلاً من 80% إلى أقلّ من 50%)، فهذا مؤشر على انخفاض الزخم، يمكنك حينها جني الأرباح.
* إذا ارتفع DOM (مثل BTC.D) بشكل كبير، فقد يشير إلى عودة سيولة قوية للبيتكوين وضربة على عملات بديلة، لذا يمكنك الاستعداد لجني الأرباح أو الانتقال إلى BTC.
---
## ٧. نقاط مهمّة وملخّص الفوائد
* **تكامل بين السعر ودوميننس السوق**: يجمع المؤشر بين تحليل الشارت التقليدي (Price Lines وZoneWatch) وبين فهم توزيع السيولة عبر Dominance Watch، مما يوفّر رؤية شاملة ومتكاملة لاتجاهات السوق.
* **إشارات كمية موضوعية**: الاعتماد على “✓/✗” ونسب الـSummary يقلّل من الانحياز العاطفي، ويلزم المتداول باتّباع قواعد واضحة قبل الإقدام على الشراء أو البيع.
* **توفير الوقت وتبسيط التحليل**: بدلاً من فتح سبع نوافذ لكل إطار وإجراء اختبارات يدوية على ثمانية مؤشرات، تجد كل ذلك في جدول واحد، ويمكن للجدولين (ZoneWatch وDominance Watch) العمل المتوازي لتقديم نظرة شاملة في آن واحد.
* **مرونة عالية في الإعداد**:
* تستطيع تخصيص المؤشرات التي تهمّك فقط (مثلاً، إذا كنت لا تهتمّ بـSMA200 أو VWAP، كلّف بتعطيلها من الإعدادات).
* تستطيع تعديل حجم الخط وموقع الجدول ليتناسب مع دقة شاشتك ورغبتك.
* تضبط عتبات الـADX وعتبات النسبة في التنبيهات لمواءمة استراتيجياتك الشخصية.
* **إشعارات فورية لتسريع رد الفعل**:
* إشعار “Smart Technical” عندما تتوافق معظم المؤشرات عبر الأُطر الزمنية الحرجة.
* إشعار “Any Line Break” يساعدك على عدم فقدان لحظة اختراق مستويات الدعم/المقاومة الحرجة التي حددتها بيدك.
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### في الختام
**مؤشر “abusuhil zonewatch”** هو أداة متعددة الجوانب تجمع بين رسم مستويات سعرية يدوية وجداول فنية متعدّدة الأُطُر الزمنية لمعرفة اتجاه الزخم، بالإضافة إلى جداول “دوميننس” لمتابعة حركة سيولة السوق. يساعد هذا الدمج المتزامن متخذي القرارات على تقييم فرص الشراء أو البيع بدقة أعلى، وتقليل الأخطاء المترتبة على التحليل الانعكاسي الجزئي.
باستخدامه، يستطيع المتداول:
* تحديد مناطق السعر الحرجة ومراقبتها تلقائيًا.
* قياس حالة أو قوة المؤشرات الفنية عبر أكثر من إطار زمني بجلسة واحدة.
* ربط تحركات السعر بحالة سيولة السوق (الهيمنة) لاتخاذ قرارات أكثر وعيًا.
* تلقّي تنبيهات ذكية تلائم استراتيجيته الخاصة لفتح الصفقات أو تعديلها بسرعة.
**كل ما يحتاجه المتداول هو ضبط الإعدادات (Price Lines، قائمة المؤشرات المفضّلة، عتبات ADX/النسب، رمز الدوميننس) لمتابعة السوق بشكلٍ متكامل دون عناء فتح نوافذ متعدّدة أو إجراء الاختبارات يدويًا.**
MATIC Institutional Buy/Sell Zones📈 Purpose
To identify areas on the chart where institutional-level buying (accumulation) or selling (distribution) may be occurring — based on key technical and volume-based filters — and to help reduce false signals using smart logic.
✅ Smart Buy Signal (Accumulation Zone)
Triggered when:
RSI < 65 – Price is not overbought; leaves room to rise.
MACD line > Signal line – Momentum is positive.
Price is above both EMA 50 and BB midline – Price structure is bullish.
EMA 10 is below EMA 50 – Early stage of a trend shift.
Volume spike above 1.3x average – Sign of strong buyer interest.
📍 Visual Output:
Green background highlights zone.
Green “Smart Buy” label below bar.
❌ Smart Sell Signal (Distribution Zone)
Triggered when:
RSI > 55 – Price is mildly overbought, vulnerable to reversal.
MACD line < Signal line – Momentum turning bearish.
Price is below EMA 50 or BB midline – Weakening trend.
EMA 10 is above EMA 50 – Potential early shift downward.
Volume spike above 1.3x average – Distribution volume present.
📍 Visual Output:
Red background highlights zone.
Red “Smart Sell” label above bar.
🧠 Key Features
Designed for professional-level clarity.
Filters out most retail-level noise by requiring volume confirmation and trend confluence.
Combines momentum, structure, and volume into a multi-factor signal system.
🔔 Alerts
You can set TradingView alerts for:
When a Smart Buy or Smart Sell signal appears — ideal for non-screen time entry/exit alerts.
OA - SMESSmart Money Entry Signals (SMES)
The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants.
Core Concepts
Smart Money Flow calculation based on normalized price positioning
Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality
Overbought and Oversold regions defined with optional glow visualization
Entry and Exit signals based on dynamic crossovers
Highly customizable input parameters for precision control
Key Inputs
Smart Money Flow Period
Smoothing Period
Price Analysis Length
Fibonacci Lookback Length
Visual toggle options (zones, glow effects, signal display)
Usage
This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions.
Important Notes
This indicator does not repaint
Works on all timeframes and instruments
Best used as a confirmation tool with other technical frameworks
All calculations are based strictly on price data
Disclaimer
This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
DXY - JaviZzThe DXY indicator is a technical analysis tool used to compare the US Dollar Index (DXY) with other financial assets, such as the EUR/USD, in order to identify divergence signals. These divergences occur when the price movement of the DXY does not match the price movement of the other asset, which can be an indication of a possible trend change.
Features of the DXY Divergence Indicator:
- Allows you to select TVC or Capitol sources.
- Direct and in-line comparison: You can directly compare the movements of the DXY with the EUR/USD in a convenient, practical, and visual way on a single chart.
- It is an extremely accurate indicator, capable of clearly and effectively identifying local highs and lows.
- Since it is inverted and follows the same direction as the EUR/USD, it is very easy to detect divergences.
Ideal for traders who use smartphones or tablets and are looking to take advantage of the differences in the behavior of these two assets and make informed trading decisions anytime, anywhere.
Enhanced TEMA with Decimal PeriodsImagine you have a special type of moving average line called a TEMA (Triple
Moving Average). A TEMA is designed to be even quicker to react to price changes than a regular EMA (Exponential Moving Average), helping traders spot trends faster.
What this script does:
Super-Precise TEMA Length:
Normally, when you set the "length" or "period" for a moving average, you use whole numbers (like 10 days, 20 days).
This script lets you be more precise and use decimal numbers for the TEMA's length (like 26.0 days, or even 26.7 days). This allows for very fine-tuning.
How it gets the "Decimal" EMA part (if you choose to use it):
If you want a TEMA with a length of, say, 26.7:
The script first needs to calculate EMAs with a length of 26.7.
To do this, it cleverly calculates two regular EMAs: one with a length of 26 and another with a length of 27 (the whole numbers just below and above 26.7).
Then, it blends these two EMAs. Since 26.7 is closer to 27, it takes more from the "27-period EMA" and a bit less from the "26-period EMA." This mix gives you an EMA that acts like it has a 26.7 period.
Building the TEMA:
A TEMA isn't just one EMA. It's made by taking an EMA of an EMA, and then an EMA of that. It's like smoothing the line multiple times, but in a special mathematical way to make it faster.
So, this script:
-Calculates the first "decimal EMA" (e.g., for 26.7).
-Calculates another "decimal EMA" of that first EMA line (again, using 26.7).
-Calculates a third "decimal EMA" of the second EMA line (still using 26.7).
Finally, it combines these three EMAs using a special TEMA formula to get the final, quick-reacting TEMA line.
Option to Switch Off Decimals:
There's a setting ("Use Decimal Periods"). If you turn this off, the script will just use regular whole-number EMAs to build the TEMA (it will round down your decimal input, so 26.7 would become 26).
Plotting:
The final "Enhanced TEMA" line is drawn on your price chart.
In Simple Terms:
This script gives you a TEMA (a fast-moving average) that you can set up with very precise decimal lengths (like 26.7 instead of just 26 or 27).
It does this "decimal magic" by smartly blending two regular EMAs. You can also choose to use it like a normal TEMA with whole numbers if you prefer. The goal is to give traders a very responsive trend-following line that can be fine-tuned to a high degree of precision.
Supertrend - SSL Strategy with Toggle [AlPashaTrader]📈 Overview of the Supertrend - SSL Strategy with Toggle Indicator
This strategy combines two powerful technical tools—Supertrend and SSL Channel—to deliver precise and reliable trading signals, designed for traders who value confirmation and risk management. 🎯
⚙️ How This Indicator Was Created
The strategy was meticulously crafted to harness the complementary strengths of:
Supertrend Indicator: A trend-following tool based on Average True Range (ATR) and a multiplier factor, it detects bullish or bearish trends by calculating dynamic support and resistance levels. 📊
SSL Channel: A channel indicator built using two Simple Moving Averages (SMA) of the highs and lows over a set period. It cleverly determines trend direction by comparing price action relative to these moving averages. 🔄
These two indicators are merged into one cohesive strategy with an optional toggle feature allowing the trader to choose whether to require confirmation from both indicators before taking a position or to act on signals from either. 🎚️
The script includes user-friendly controls for:
Defining a custom trading date range 📅, useful for backtesting or restricting trading to specific market conditions.
Setting the ATR length and multiplier for Supertrend sensitivity ⚙️.
Adjusting the SSL channel period for responsiveness to price changes ⏱️.
Choosing whether to require dual confirmation (both Supertrend and SSL signals) for more conservative trading or a single indicator trigger for a more aggressive approach 🛡️ vs ⚔️.
🔍 How This Indicator Works
Signal Generation:
Supertrend analyzes market volatility and trend direction, signaling a potential buy when the trend turns bullish 📈 and a sell when bearish 📉.
SSL Channel tracks price relative to its high and low moving averages to identify uptrends and downtrends. A crossover of the SSL Up and SSL Down lines generates buy or sell signals 🔔.
Confirmation Logic:
When confirmation is enabled, the strategy waits for agreement between both indicators before entering a trade ✅, reducing false signals.
When confirmation is disabled, it trades based on signals from either indicator ⚡, allowing more frequent entries but potentially higher risk.
Entry and Exit Rules:
Entry occurs when the indicator(s) signal a new trend direction 🚀 for long, or decline for short.
Exit happens when opposing signals appear 🛑, closing existing positions to lock in profits or cut losses.
Visual Aids:
The SSL Channel lines are plotted directly on the chart with distinct colors to intuitively show trend shifts 🎨.
The system respects the specified date range ⏳, ensuring trades only occur within user-defined periods.
🎯 How to Use This Strategy Effectively
Set Your Preferences: Adjust ATR length, factor, and SSL period to your style. More sensitive? Decrease lengths. Smoother? Increase them ⚙️.
Choose Confirmation Mode: Use the toggle depending on your risk appetite:
Confirmation ON ✅: For conservative traders wanting high-probability setups.
Confirmation OFF ⚡: For aggressive traders who want more signals.
Apply Date Filters: Focus your trading or backtesting on specific periods 📅.
Monitor Entry/Exit Signals: Watch crossovers and Supertrend changes closely 👀.
Risk Management: The strategy uses position sizing as a percentage of equity (default 15%) 💰. Adjust accordingly.
Combine with Other Tools: Enhance results by combining this with volume, price action, or fundamentals 🔧.
📝 Summary
This Supertrend - SSL Strategy with Toggle is a dynamic and flexible trading tool blending volatility-based trend detection with moving-average channel insights. It empowers traders to customize confirmation strictness, control trading periods, and efficiently capture trending opportunities while managing risk smartly.
By integrating proven indicators in a user-friendly, visually intuitive package, this strategy stands as a sophisticated tool suitable for various markets and trading styles. 🚀📊
Power Block Consolidation with Volume @MaxMaserati 2.0Power Block Consolidation with Volume @MaxMaserati 2.0
Overview
Price action hinges on consolidation, the foundation of market moves. The "Power Block Consolidation with Volume @MaxMaserati 2.0" (MMPB) indicator uses a proprietary, ingenious system to identify high-probability consolidation zones—termed "power blocks"—where smart money drives accumulation or distribution. By leveraging a unique limitorphe closing candle system, to plots volume to signal price direction: significant volume at the high price indicates bullish continuation, while volume at the low price suggests bearish momentum. This tool empowers traders to exploit bullish and bearish trends with precision.
Key Features
Consolidation Detection: Pinpoints power blocks using a secret system, marking zones of smart money activity.
Volume Analysis: A proprietary limitrophe closing candle system splits volume into buying (high price) and selling (low price), revealing accumulation (buying pressure) or distribution (selling pressure).
Trend Visualization:
Bullish Trends: Green boxes and lines highlight consolidation zones with high volume at the high price, signaling upward continuation.
Bearish Trends: Red boxes and lines mark zones with high volume at the low price, indicating downward momentum.
NB: The volume matter more than the color of the box.
Example
High volume up at the box vs low volume at the low we expect an up move
Even we had a bearish Body close below the box price reconfirmed the up move
Price make the bullish upside move
Price retest the box and reject it strongly
Breakout and Retest: Captures breakouts from power blocks, with price often retesting the zone before resuming the trend.
Volume Labels: Displays buying (green) and selling (red) volume on lines for clear pressure analysis.
Breakout Alerts: Triggers alerts for bullish ("BuBC") and bearish ("BeBC") breakouts, with optional visual markers (triangles).
Strategy
MMPB is designed to capture smart money behavior in consolidation zones, where markets prepare for significant moves. Key principles:
Volume-Driven Direction: High volume at the high price within a power block signals strong bullish continuation; high volume at the low price indicates bearish potential.
Accumulation/Distribution: Buying volume reflects accumulation, priming bullish trends; selling volume signals distribution, fueling bearish trends.
Breakout and Retest: Price often breaks out from power blocks and retests the zone, offering low-risk entry points.
Consolidation as Precursor: Markets require consolidation to build momentum, making power blocks critical for trend prediction.
Traders can:
Enter on breakouts with strong volume confirmation.
Target retests of power blocks for high-probability setups.
Use volume labels to assess trend strength.
Use Cases
Trend Trading: Ride bullish or bearish trends post-breakout from high-volume power blocks.
Swing Trading: Use power blocks as dynamic support/resistance for entries and exits.
Smart Money Analysis: Identify accumulation (bullish) or distribution (bearish) zones.
Risk Management: Place stops at power block edges during retests.
Conclusion
The MMPB indicator, powered by a proprietary system, transforms consolidation analysis by identifying power blocks where smart money operates. Its limitrophe closing candle system highlights volume-driven trends, enabling traders to capitalize on bullish and bearish moves with confidence. Ideal for trend and swing traders, MMPB shines in markets where consolidation precedes significant trends, offering clear signals for breakouts and retests.
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Volume Intelligence Suite (VIS) v2📊 Volume Intelligence Suite – Smart Volume, Smart Trading
The Volume Intelligence Suite is a powerful, all-in-one TradingView indicator designed to give traders deeper insight into market activity by visualizing volume behavior with price action context. Whether you're a scalper, day trader, or swing trader, this tool helps uncover hidden momentum, institutional activity, and potential reversals with precision.
🔍 Key Features:
Dynamic Volume Zones – Highlights high and low volume areas to spot accumulation/distribution ranges.
Volume Spikes Detector – Automatically marks abnormal volume bars signaling potential breakout or trap setups.
Smart Delta Highlighting – Compares bullish vs bearish volume in real time to reveal buyer/seller strength shifts.
Session-Based Volume Profiling – Breaks volume into key trading sessions (e.g., London, New York) for clearer context.
Volume Heatmap Overlay – Optional heatmap to show intensity and velocity of volume flow per candle.
Custom Alerts – Built-in alerts for volume surges, divergences, and exhaustion signals.
Optimized for Kill Zone Analysis – Pairs perfectly with ICT-style session strategies and Waqar Asim’s trading methods.
🧠 Why Use Volume Intelligence?
Most traders overlook the story behind each candle. Volume Intelligence Suite helps you "see the why behind the move" — exposing key areas of interest where smart money may be active. Instead of reacting late, this tool puts you in position to anticipate.
Use it to:
Validate breakouts
Detect fakeouts and liquidity grabs
Confirm bias during kill zones
Analyze volume divergence with price swings
⚙️ Fully Customizable:
From volume thresholds to visual styles and session timings, everything is user-adjustable to fit your market, timeframe, and strategy.
✅ Best For:
ICT/Smart Money Concepts (SMC) traders
Breakout & reversal traders
Kill zone session scalpers
Institutional footprint followers
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
ICT Macro Zone Boxes w/ Individual H/L Tracking v3.1ICT Macro Zones (Grey Box Version
This indicator dynamically highlights key intraday time-based macro sessions using a clean, minimalistic grey box overlay, helping traders align with institutional trading cycles. Inspired by ICT (Inner Circle Trader) concepts, it tracks real-time highs and lows for each session and optionally extends the zone box after the session ends — making it a precision tool for intraday setups, order flow analysis, and macro-level liquidity sweeps.
### 🔍 **What It Does**
- Plots **six predefined macro sessions** used in Smart Money Concepts:
- AM Macro (09:50–10:10)
- London Close (10:50–11:10)
- Lunch Macro (11:30–13:30)
- PM Macro (14:50–15:10)
- London SB (03:00–04:00)
- PM SB (15:00–16:00)
- Each zone:
- **Tracks high and low dynamically** throughout the session.
- **Draws a consistent grey shaded box** to visualize price boundaries.
- **Displays a label** at the first bar of the session (optional).
- **Optionally extends** the box to the right after the session closes.
### 🧠 **How It Works**
- Uses Pine Script arrays to define each session’s time window, label, and color.
- Detects session entry using `time()` within a New York timezone context.
- High/Low values are updated per bar inside the session window.
- Once a session ends, the box is optionally closed and fixed in place.
- All visual zones use a standardized grey tone for clarity and consistency across charts.
### 🛠️ **Settings**
- **Shade Zone High→Low:** Enable/disable the grey macro box.
- **Extend Box After Session:** Keep the zone visible after it ends.
- **Show Entry Label:** Display a label at the start of each session.
### 🎯 **Why This Script is Unique**
Unlike basic session markers or colored backgrounds, this tool:
- Focuses on **macro moments of liquidity and reversal**, not just open/close times.
- Uses **per-session logic** to individually track price behavior inside key time windows.
- Supports **real-time high/low tracking and clean zone drawing**, ideal for Smart Money and ICT-style strategies.
Perfect — based on your list, here's a **bundle-style description** that not only explains the function of each script but also shows how they **work together** in a Smart Money/ICT workflow. This kind of cross-script explanation is exactly what TradingView wants to see to justify closed-source mashups or interdependent tools.
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📚 ICT SMC Toolkit — Script Integration Guide
This set of advanced Smart Money Concept (SMC) tools is designed for traders who follow ICT-based methodologies, combining liquidity theory, time-based precision, and engineered confluences for high-probability trades. Each indicator is optimized to work both independently and synergistically, forming a comprehensive trading framework.
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First FVG Custom Time Range
**Purpose:**
Plots the **first Fair Value Gap (FVG)** that appears within a defined session (e.g., NY Kill Zone, Custom range). Includes optional retest alerts.
**Best Used With:**
- Use with **ICT Macro Zones (Grey Box Version)** to isolate FVGs during high-probability times like AM Macro or PM SB.
- Combine with **Liquidity Levels** to assess whether FVGs form near swing points or liquidity voids.
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ICT SMC Liquidity Grabs and OB s
**Purpose:**
Detects **liquidity grabs** (stop hunts above/below swing highs/lows) and **bullish/bearish order blocks**. Includes optional Fibonacci OTE levels for sniper entries.
**Best Used With:**
- Use with **ICT Turtle Soup (Reversal)** for confirmation after a liquidity grab.
- Combine with **Macro Zones** to catch order blocks forming inside timed macro windows.
- Match with **Smart Swing Levels** to confirm structure breaks before entry.
ICT SMC Liquidity Levels (Smart Swing Lows)
**Purpose:**
Automatically marks swing highs/lows based on user-defined lookbacks. Tracks whether those levels have been breached or respected.
**Best Used With:**
- Combine with **Turtle Soup** to detect if a swing level was swept, then reversed.
- Use with **Liquidity Grabs** to confirm a grab occurred at a meaningful structural point.
- Align with **Macro Zones** to understand when liquidity events occur within macro session timing.
ICT Turtle Soup (Liquidity Reversal)
**Purpose:**
Implements the classic ICT Turtle Soup model. Looks for swing failure and quick reversals after a liquidity sweep — ideal for catching traps.
Best Used With:
- Confirm with **Liquidity Grabs + OBs** to identify institutional activity at the reversal point.
- Use **Liquidity Levels** to ensure the reversal is happening at valid previous swing highs/lows.
- Amplify probability when pattern appears during **Macro Zones** or near the **First FVG**.
ICT Turtle Soup Ultimate V2
**Purpose:**
An enhanced, multi-layer version of the Turtle Soup setup that includes built-in liquidity checks, OTE levels, structure validation, and customizable visual output.
**Best Used With:**
- Use as an **entry signal generator** when other indicators (e.g., OBs, liquidity grabs) are aligned.
- Pair with **Macro Zones** for high-precision timing.
- Combine with **First FVG** to anticipate price rebalancing before explosive moves.
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## 🧠 Workflow Example:
1. **Start with Macro Zones** to focus only on institutional trading windows.
2. Look for **Liquidity Grabs or Swing Sweeps** around key highs/lows.
3. Check for a **Turtle Soup Reversal** or **Order Block Reaction** near that level.
4. Confirm confluence with a **Fair Value Gap**.
5. Execute using the **OTE level** from the Liquidity Grabs + OB script.
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Let me know which script you want to publish first — I’ll tailor its **individual TradingView description** and flag its ideal **“Best Used With” partners** to help users see the value in your ecosystem.
Prime Trend ReactorIntroduction
Prime Trend Reactor is an advanced crypto trend-following strategy designed to deliver precision entries and exits based on a multi-factor trend consensus system.
It combines price action, adaptive moving averages, momentum oscillators, volume analysis, volatility signals, and higher timeframe trend confirmation into a non-repainting, fully systematic approach.
This strategy is original: it builds a unique trend detection matrix by blending multiple forms of price-derived signals through weighted scoring, rather than simply stacking indicators.
It is not a mashup of public indicators — it is engineered from the ground up using custom formulas and strict non-repainting design.
It is optimized for 1-hour crypto charts but can be used across any asset or timeframe.
⚙️ Core Components
Prime Trend Reactor integrates the following custom components:
1. Moving Averages System
Fast EMA (8), Medium EMA (21), Slow EMA (50), Trend EMA (200).
Detects short-term, medium-term, and long-term trend structures.
EMA alignment is scored as part of the trend consensus system.
2. Momentum Oscillators
RSI (Relative Strength Index) with Smoothing.
RMI (Relative Momentum Index) custom-calculated.
Confirms price momentum behavior aligned with trend.
3. Volume Analysis
CMF (Chaikin Money Flow) for accumulation/distribution pressure.
OBV (On Balance Volume) EMA Cross for volume flow confirmation.
4. Volatility and Price Structure
Vortex Indicator (VI+ and VI-) for trend strength and directional bias.
Mean-Extreme Price Engine blends closing price with extremes (high/low) based on user-defined ratio.
5. Structure Breakout Detection
Detects structure breaks based on highest high/lowest low pivots.
Adds weight to trend strength on fresh breakouts.
6. Higher Timeframe Confirmation (HTF)
Uses higher timeframe EMAs and close to confirm macro-trend direction.
Smartly pulls HTF data with barmerge.lookahead_off to avoid repainting.
🔥 Entry and Exit Logic
Long Entry: Triggered when multi-factor trend consensus turns strongly bullish.
Short Entry: Triggered when consensus flips strongly bearish.
Take Profits (TP1/TP2):
TP1: Partial 50% profit at small target.
TP2: Full 100% close at larger target.
Exit on Trend Reversal:
If trend consensus reverses before hitting TP2, the strategy exits early to protect capital.
TP Hits and Trend Reversals fire real-time webhook-compatible alerts.
🧩 Trend Consensus Matrix (Original Concept)
Instead of relying on a single indicator, Prime Trend Reactor calculates a weighted score using:
EMA Alignment
Momentum Oscillators (RSI + RMI)
Volume Analysis
Volatility (Vortex)
Higher Timeframe Bias
Each component adds a weighted contribution to the final trend strength score.
Only when the weighted score exceeds a user-defined threshold does the system allow entries.
This multi-dimensional scoring system is original and engineered specifically to avoid noisy or lagging traditional signals.
📈 Visualization and Dashboard
Custom EMA Clouds dynamically fill between Fast/Medium EMAs.
Colored Candles show real-time trend direction.
Dynamic Dashboard displays:
Current Position (Long/Short/Flat)
Entry Price
TP1 and TP2 Hit Status
Bars Since Entry
Win Rate (%)
Profit Factor
Current Trend Signal
Consensus Score (%)
🛡️ Non-Repainting Design
All trend calculations are based on current and confirmed past data.
HTF confirmations use barmerge.lookahead_off.
No same-bar entries and exits — enforced logic prevents overlap.
No lookahead bias.
Strict variable handling ensures confirmed-only trend state transitions.
✅ 100% TradingView-approved non-repainting behavior.
📣 Alerts and Webhooks
This strategy includes full TradingView webhook support:
Long/Short Entries
TP1 Hit (Partial Exit)
TP2 Hit (Full Exit)
Exit on Trend Reversal
All alerts use constant-string JSON formatting compliant with TradingView multi-exchange bots:
📜 TradingView Mandatory Disclaimer
This strategy is a tool to assist in market analysis. It does not guarantee profitability. Trading financial markets involves risk. You are solely responsible for your trading decisions. Past performance does not guarantee future results.
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Scalp Strategy by Trade Journey📘 Trading Strategy: "Delta Flow Scalper"
Author: @Trad_journey
Type: Scalping / Intraday
Timeframes:
- Context: 1H
- Entry Points: 15m
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🎯 Core Idea
We use a powerful tool — the Delta-RSI Oscillator (D-RSI), which calculates the derivative of RSI using polynomial regression. This oscillator doesn't just show the strength of price movement but reveals how that strength changes over time.
By combining this with order flow analysis on the 1H timeframe, we can spot reversals and momentum bursts within a prevailing trend, where the D-RSI is most accurate.
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🔍 Strategy Logic
1. Context (1H)
Before entering a trade on the 15m chart, we determine:
- The trend on 1H using candle structure, levels, EMAs, volume, VSA, and other methods.
- Example: If 1H shows a series of higher highs/lows and rising volume — it indicates an uptrend.
2. Entry Signals (15m)
Entry is based on the D-RSI, configured with manually optimized settings:
- RSI Length: 14
- Polynomial Order: 2
- Window Length: 14
- Signal EMA: 7
- RMSE Filtering: Enabled, e.g., with a 10% threshold
Entry Conditions (any of the following):
- Zero-Crossing: Oscillator crosses above zero (long) or below zero (short)
- Signal Line Cross: D-RSI crosses the signal EMA
- Direction Change: Oscillator was below zero and starts rising (long), or vice versa
3. Trade Filter
To improve accuracy:
- Polynomial Approximation Error Filter (RMSE) is used — this eliminates noisy signals.
- Ideally, confirm entries with a candlestick pattern or key level as well.
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📈 Example of Entry Logic
1. On 1H: Clear uptrend, candles with long lower wicks, volume increasing
2. On 15m: D-RSI was below zero, sharply started rising and crossed the signal line from below
3. RMSE < 10% → signal confirmed
4. Enter long, place stop below local low + spread
5. Exit:
- On opposite D-RSI signal
- Or at a take profit (e.g., 1.5R or a key level)
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⚙️ Settings
()
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📊 Why It Works
- D-RSI captures momentum shifts and trend acceleration — these often occur before price changes.
- RMSE filtering removes false signals during chop or weak movement.
- Using a higher timeframe gives directional context — entries are made in the trend's direction, drastically increasing win probability.
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🔔 Recommendations
- Don’t use without higher timeframe context — countertrend signals can be unprofitable.
- Best entries are after small pullbacks within a trend.
- You can add an ATR/volatility filter — to avoid signals in tight ranges.
---
✅ Conclusion
Delta Flow Scalper is a plug-and-play strategy for traders looking for precise intraday entries within larger moves. It's great for those wanting to reduce noise and trade smartly with momentum.
Try it on demo, tweak it to fit your style — and go for it!
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + Order Blocks + Fibonacci OTE Levels
A High-Probability Entry Engine for Smart Money Concept Traders
This script combines three powerful Smart Money Concepts (SMC) into a single tool: Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
It’s designed to simplify SMC trading by highlighting confluence zones where price is likely to reverse or continue — with clear visual zones, entry arrows, and take profit projections.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies when price sweeps above/below the highest high or lowest low within a user-defined lookback period and closes back inside.
Plots orange labels on the chart to signal potential liquidity events (LG-H / LG-L).
Plots Order Blocks After Liquidity Grabs
After a liquidity grab, the script looks for displacement candles (strong bullish or bearish moves) and draws highlighted OB zones extending several bars to the right.
These zones represent potential institutional footprints for price reversals.
Draws Fibonacci OTE Levels (Optimal Trade Entry)
Uses recent swing high and low pivots to automatically calculate OTE zones (default: 62% and 75% retracement levels).
Draws these retracement zones for both bullish and bearish setups.
Marks Valid OTE Entry Zones
Buy/Sell zones only trigger when:
A liquidity grab occurs,
Price enters the OTE zone,
And a strong confirming candle is present.
Plots green/red arrows for valid buy/sell OTE entries.
Auto-Draws Take Profit Zones
TP1 = Previous swing high/low
TP2 = Risk-based R-multiplied extension (e.g., 1.5R — customizable)
Alerts
Triggers alerts when valid buy or sell OTE setups are detected.
⚙️ Customization Features:
Toggle each feature: Liquidity Grabs, Order Blocks, Fibonacci OTE levels
Set Fibonacci retracement percentages (e.g., 0.62 / 0.75)
Adjust lookback window for liquidity detection
Customize the take-profit multiplier (R-based)
Full control over visuals: colors, labels, and lines
💡 How to Use:
Use this script to scan for high-confluence trade setups based on Smart Money principles.
Combine with session timing (e.g., New York open), major swing structure, or Kill Zone windows for maximum edge.
Look for arrows inside OB zones or OTE levels following liquidity sweeps for cleaner entries.
🔗 Works Best With:
✅ First FVG — Opening Range Fair Value Gap Detector: Identify early inefficiencies to set the narrative for the day.
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
Together, these tools build a complete Smart Money ecosystem for entry precision, risk management, and price behavior forecasting.
