Gedhusek TrendFibonacciThis indicator is a trend filter based on fibonacci retracement levels
How to read:
- There are three filled zones --> red, yellow and green
- If the price is inside of red zone, there is a downtrend on the market
- If the price is inside the yellow zone, there is a sideways trend on the market
- If the price is inside the green zone, there is a uptrend on the market
- Also, candles are going to have a corresponding color based on the current trend
Calculations of the indicator:
1. Calculate distance between maximal and minimal price over the last "x" bars (choose value for "x" in inputs menu under the "Analysis period")
2. Use this distance for calculating two retracement levels (choose retracement levels in inputs menu)
3. These two retracement levels create an area of what is going to be considered as sideways market
Example:
- Lets say we chose Analysis period of 100, Lower Fibonacci Level as 0.382 and Upper Fibonacci Level as 0.618
- Maximum price over the last 100 bars was of 120 and minimum price was 20. That leaves us with the difference of 100 points
- Now we calculate the fibonacci levels --> 100*0.382 = 38.2 and 100*0.618 = 61.8
- The next step is to add the levels to the lowest price point --> 20 + 38.2 = 58.2 and 20 + 61.8 = 81.8
- And now we have our zones. If the price is going to be below the lower fibonacci level (in this case 58.2), we consider it as a bearish trend. If the price is between those fibonacci levels (58.2 and 81.8), we consider it as a sideways trend. And if the price is above the upper fibonacci level (81.8), we consider it as a bullish trend.
Inputs:
- Analysis period --> number of bars within which the system is going to look for max and min price
- Lower Fibonacci Level --> Choose from options and must be lower or the same as "Upper Fibonacci Level"
- Upper Fibonacci Level --> Choose from options and must be higher or the same as "Lower Fibonacci Level"
- Show Filling --> whether you wish to fill the areas with color
- Change Candle Color --> whether you wish to change the color of candles based on current trend.
Cari dalam skrip untuk "zone"
Smart Money Concepts (SMC) [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category.
"Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action.
The indicator includes alerts for the presence of swing structures and many other relevant conditions.
Features
This indicator includes many features relevant to SMC, these are highlighted below:
Full internal & swing market structure labeling in real-time
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (bullish & bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones as a range
Options to style the indicator to more easily display these concepts
Settings
Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH).
Confluence Filter: Filter non-significant internal structure breakouts.
Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels).
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart.
Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart.
Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows.
Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart.
Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart.
Auto Threshold: Filter out non-significant fair value gaps.
Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection.
Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart.
Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels.
Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart
Usage
Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals.
In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart.
Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above.
As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels.
The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator.
Conclusion
This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
FiboDonchianDonchian channels were developed by Richard Donchian, the father of trend following. The two outer bands are plotted as the highest high and lowest low for a set period of time.
In the FiboDonchian, the channel is divided into 3 zones according to Fibonacci levels:
0-0.382 (Bullish Zone)
0.382-0.618 (Neutral Zone)
0.618-1(Bearish Zone)
These levels will usually act as support and resistance during trends, and will reverse depending on the direction of the trend (e.g. in an uptrend the .382 is above the .5 and during a downtrend it is below).
An option to color candles according to the trend is given, with the following logic:
-During uptrends, candles will turn bullish when a new high is made and will remain in this state as long as price closes in the upper zone. Below this zone price turns neutral until a new high or low is made.
-During downtrends, candles will turn bearish when a new low is made and will remain like this provided that price closes in the lower zone. Above this zone price turns neutral until a new low or high is made.
Enjoy!!
Volume fightThe Volume fight indicator looks for the predominance of bullish or bearish trading volume on the chart by dividing the trading volume in the bar into 2 parts - "bullish volume" and "bearish volume", and comparing the weighted average values by volume with each other at a given distance.
This indicator is suitable for any instrument (cryptocurrency, Forex, stocks) and is able to work on any TF.
The Volume fight indicator should be used as an auxiliary indicator that tells you who is currently prevailing in the market - " bulls "or"bears".
To configure the indicator, it is necessary to set the range of evaluation of the predominance of bullish or bearish volume (the number of bars, by default-24 bars for TF=1H). The smaller the TF, the higher the range value should be used to filter out false signals.
When there is a predominance of "bulls" on the chart, a green triangle appears (relevant at the close of the bar) and the histogram is highlighted in green, when "bears" appear on the chart, a red triangle appears (relevant at the close of the bar) and the histogram is highlighted in red.
In the indicator settings, there is smoothing to reduce false signals and highlight the flat zone by specifying a percentage, at least which should be the difference between the forces of the "bullish" and "bearish" volume. If the difference between the volume forces is less than the specified one (by default-15%), the zone is considered flat and is displayed in gray on the histogram.
If you set the percentage to zero, the flat zones will not be highlighted, but there will be much more false signals, since the indicator becomes very sensitive when the smoothing percentage decreases.
There is a function-to show the color background of the current trading zone. For" bullish "- green, for" bearish " - red.
In the settings, you can enable the display and use of each signal in the trading zone, not only the initial one, but also each after the flat zone. By default, only the signal of the beginning of the ascending/descending zone is used.
The indicator has alerts for "bullish" and "bearish" movements. Use alerts - "Once per bar close".
If you have any questions, you can write to me in private messages or by using the contacts in my signature.
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Индикатор Volume fight ищет на графике преобладание бычьего или медвежьего объёма торгов путём разделения торгового объёма в баре на 2 части - "бычий объём" и "медвежий объём", и сравнения средне-взвешенных значений по объёму между собой на заданной дистанции.
Данный индикатор подходит для любого инструмента (криптовалюта, Forex, акции) и способен работать на любом ТФ.
Индикатор Volume fight следует использовать как вспомогательный индикатор, который подсказывает Вам кто сейчас преобладает на рынке - "быки" или "медведи".
Для настройки индикатора необходимо выставить диапазон оценки преобладания бычьего или медвежьего объема (количество баров, по умолчанию - 24 бара для ТФ=1Ч). Чем меньше ТФ, тем выше следует использовать значение диапазона, чтобы отфильтровать ложные сигналы.
При возникновении преобладания на графике "быков" появляется зелёный треугольник (актуален по закрытию бара) и гистограмма подсвечивается зелёным цветом, при возникновении на графике "медведей" появляется красный треугольник (актуален по закрытию бара) и гистограмма подсвечивается красным цветом.
В настройках индикатора есть сглаживание для уменьшения ложных сигналов и выделения зоны флета с помощью указания процента, не менее которого, должна быть разница между силами "бычьего" и "медвежьего" объёма. Если разница между силами объёмов меньше заданного (по умолчанию - 15%), то зона считается флетовой и отображается на гистограмме серым цветом.
Если выставить процент равным нулю, то зоны флета выделяться не будут, но будет гораздо больше ложных сигналов, так как индикатор становится очень чувствительным при снижении процента сглаживания.
Есть функция - показывать цветовой фон текущей торговой зоны. Для "бычьего" - зелёный, для "медвежьего" - красный.
В настройках можно включить отображение и использование каждого сигнал в торговой зоне, не только начального, но и каждого после зоны флета. По умолчанию - только сигнал начала восходящей/нисходящей зоны.
Индикатор имеет оповещения для "бычьего" и "медвежьего" движения. Используйте оповещения - "на закрытии бара".
По любым вопросам Вы можете написать мне в личные сообщения или по контактам в моей подписи.
Nico's SPX Dynamic ChannelsTest of dynamic channels and some statistics made by hand.
This indicator was done specifically for the S&P500 index.
As you can see, below the 125 EMA there's a lot more volatility than in the upside. I've made some kind of a dynamic linear regression of the lows and the highs.
I've chosen the MA that best fits the SPX, and then calculated in Excel the percental mean and SDs of most important peaks and valleys that I've chosen in comparison to the 125 MA. This lead to the green, orange and red zones. BUT, I've calculated the peaks and valleys separately, as I assumed that a bear market and crashes have way more volatility than bull markets. That's why the difference between the upper and the lower channels.
The neutral blue zone is composed by an upper EMA of the highs and lower EMA of the lows. No MA in this script uses the close price as a source.
This MA makes sense because it represents a semester of trading, for this particular asset.
Backtest results
It's also interesting to try it here too, as it has a little bit more of data:
SPCFD:SPX
As it's not a trading system, I have no batting average nor ratios for this.
Still, the measures of the peaks and valleys are very accurate and repeat themselves over and over again. The results were:
3rd resistance: 12.88%
2nd resistance: 10.12%
1st resistance: 7.36%
1st support: -6.42%
2nd support: -14.8%
3rd support: -23.18%
All referred to the mean, which is the 125 EMA zone.
After the 1950's works like magic, but not before. You will see that it doesn't work in the great depression and it's crash.
How to use this indicator
Green = First grade support/resistance .
Orange = Second grade support/resistance . Caution.
Red = Third grade support/resistance . High chances of mean reversal.
Blue zone = This is the neutral zone, where the prices are not cheap nor expensive.
Often in a trending market, the price will have the blue zone as it's main support and when trending the price will stick to the green MA.
When the price touches the orange MA, the most probable is that it will return to the green MA.
If the price touches the red zone, there's a high chance that this is a big turning point and it will reverse to the mean (green or blue zone).
Imagine you've bought each time the price touched the red support, check that and you'll start liking this indicator. I think it is a great entry point for investors. The red resistance is good too, but of course it works for a short period of time.
I've backtested this indicator since the beginning of the dataset and it works like magic, but ONLY for the SPX index (spot price).
Leave a comment or some coins if you like it!!!
(I've posted it before like an analysis, not as a script, my bad)
80/20 Rule IndicatorIf you have not heard of the 80/20 rule then you are probably living under a rock =).
I took this idea and applied it to total loss percentage from the last known high. As it turns out, after about 80 percent losses on an asset it almost 'always' recovers. Perhaps the theory on this being that 20 percent will just hold on for dear life and never sell =).
For assets that are more established they tend to hit the midline around 40% as good buy zones, like APPL for example, but even APPL (Apple Inc.) in it's infant years hit 80 percent at times and they were always good buy zones. You can see something similar with BTC (Bitcoin) as well.
With the possibility of an upcoming crash in the years ahead you can use this indicator for the asset you are exploring to know with confidence you are buying at a good price zone.
This indicator is obviously meant for long term trading (daily chart or higher). You can use this to look for patterns for how long all-time high's last as well as an idea of when to sell out as well. This gives you a really good overall picture of the asset and it's current position in the price action and where it might be headed.
Logios Traders Pro v1## 📈 Logios Traders Pro v1 – EMA Crossover + Signal Candle Extensions
**Logios Traders Pro v1** is a powerful and clean EMA crossover-based tool designed for traders who want precise entry zones, trend clarity, and support/resistance validation — all in one lightweight overlay.
### 🔍 Features:
* **Customizable Fast and Slow EMAs**
Set your preferred EMA lengths to generate Buy/Sell signals based on crossovers.
* **Signal Candle High/Low Extensions**
Each Buy/Sell signal marks the high and low of the signal candle and projects them forward as horizontal levels. These act as **dynamic support/resistance zones**, and extend until broken by price.
* **Trend EMA (e.g., EMA 50)**
An optional third EMA is displayed by default to help filter trades with the broader trend. Its length is also fully customizable.
* **Smart Visuals**
* Signal markers (`Buy` / `Sell`) with clean labels.
* Background coloring and EMA plots are optional and customizable.
* Alert-ready for both buy and sell conditions.
### ✅ Best Used For:
* Trend-following or reversal setups.
* Retest entries off signal candle zones.
* Entry confirmation aligned with trend direction (using the 50 EMA).
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### ⚙️ Inputs:
* Fast EMA Length (default: 5)
* Slow EMA Length (default: 9)
* Trend EMA Length (default: 50)
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Whether you're a scalper, intraday trader, or swing trader, **Logios Traders Pro v1** gives you high-precision insight into the market’s structure and key entry zones.
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Supply/Demand Market Structure (SMA Multi-Timeframe)Supply/Demand Based Market Structure
Structure + Order Blocks from Synthetic SMA Candles
Overview:
The SMA Supply/Demand Market Structure indicator combines market structure analysis with supply/demand logic, powered by SMA-based synthetic candles . Instead of relying on raw candle data, this tool generates smoothed higher-timeframe candles using simple moving averages to identify more stable zones and cleaner structure shifts.
It detects bullish and bearish breaks of structure (BoS) , highlights swing points like HH, HL, LH, LL , and plots institutional-style supply and demand zones formed from aggressive rallies or drops. The result is a precise and noise-filtered view of market intent, perfect for trend-following or smart money strategies.
How It Works:
- Synthetic candles are created using SMA of OHLC values on your selected timeframe (HTF).
- A bullish break occurs when price closes above the high of the last bearish synthetic candle.
- A bearish break occurs when price closes below the low of the last bullish synthetic candle.
- Upon break confirmation:
- A demand zone is drawn using the last bearish candle.
- A supply zone is drawn using the last bullish candle.
- Each zone is extended forward for a user-defined number of bars and optionally deleted upon mitigation.
- Zigzag-based internal structure connects valid swing points and classifies them as HH, HL, LH, LL , including Liquidity Sweeps (LS) .
- BoS levels are highlighted with lines that automatically reset when new structure forms.
Key Features:
- Synthetic SMA Candles : Smooth and reliable structure from average-based HTF candles
- Break Modes : Choose between raw HTF closes or SMA closes for break logic
- Custom Timeframe Selection : Analyze structure across any HTF you choose
- Dynamic Supply/Demand Zones : Auto-plot boxes from valid rallies/drops
- Mitigation Detection : Optionally fade or delete zones when price trades through
- Zigzag Structure Mapping : Automatically connect structural highs/lows
- BoS Detection : Real-time breakout of swing points with visual confirmation
- Smart Labels : Marks HH, HL, LH, LL, and LS directly on the chart
- Multi-timeframe Alert System : Notify for all structural changes, BoS, and new zones
How to Use:
- Set your desired HTF and SMA Length for synthetic candle smoothing.
- Use SMA=1 for raw candles
- Select a Break Mode :
- Raw Close : Uses standard HTF close values
- SMA Close : Uses smoothed closes from SMA
- Watch for bullish or bearish breaks — zones are plotted when price confirms breakout structure.
- Use demand zones as long entry areas and supply zones as short setups on retests.
- Rely on internal shifts and zigzag swings to monitor structure continuity.
- Enable alerts for swing formations, BoS, and liquidity sweeps to trade hands-free.
Recommended Strategies:
- Smart Money & ICT Models : Use synthetic demand/supply + BoS for mitigation or continuation plays
- Swing Trading : Align with higher timeframe structure and use zones for entry triggers
- Trend Trading : Confirm structure alignment and wait for pullbacks into zones
- Reversal Entries : Trade structure breaks when zones fail and a BoS confirms the shift
Customization Options:
- Timeframe input for custom HTF control
- SMA Length to adjust candle smoothing
- Zone Style : Control zone color, transparency, and duration
- Structure Display : Toggle swing labels and zigzag visuals
- Alert Mode : Choose between LTF, MTF, or HTF alerts
Summary:
SMA Supply/Demand Market Structure provides a clean, flexible view of price structure and institutional intent by fusing market structure with SMA-based synthetic candles. It’s ideal for anyone seeking reduced noise, visually guided entries, and rule-based trading based on structural shifts and real-time demand/supply dynamics.
YAS GROUPFOR ALL YAS GROUP MEMBERS
🔥 مؤشر متكامل يجمع بين عدة تقنيات احترافية لتحديد أفضل مناطق الدخول والخروج بدقة عالية:
✅ مناطق الـ Order Blocks القوية (15m, 1H, 4H)
✅ نسب الفيبوناتشي داخل الـ OB لتأكيد نقاط الانعكاس
✅ إشارات شراء وبيع دقيقة مع إمكانية تفعيل فلتر RSI و EMA/SMA
✅ خطوط دعم ومقاومة ديناميكية مبنية على آخر Pivot Highs & Lows
✅ مناسب للسكالبينج، التداول اليومي، وحتى الصفقات المتوسطة والطويلة
🎯 يمكنك التحكم في شروط الفلاتر وتخصيص الفريمات التي تهمك بسهولة من الإعدادات.
💡 هدف المؤشر: مساعدة المتداول في اتخاذ قرارات مدروسة ومبنية على مناطق سيولة وتجمع أوامر حقيقية، وليس فقط إشارات عشوائية.
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⚠️ ملاحظة:
- لا يعتبر هذا المؤشر نصيحة مالية مباشرة.
- يفضل استخدامه مع إدارة رأس المال ومراعاة الأخبار والتحليل الأساسي.
🔔 لا تنسَ تفعيل التنبيهات للإشارات المهمة!
🔥 A complete all-in-one indicator combining multiple professional techniques to accurately detect the best entry and exit zones:
✅ Strong Order Blocks zones (15m, 1H, 4H)
✅ Fibonacci levels inside OBs to confirm reversal points
✅ Highly precise Buy/Sell signals with optional RSI and EMA/SMA filters
✅ Dynamic Support & Resistance lines based on latest pivot highs & lows
✅ Perfect for scalping, day trading, and swing trading
🎯 Easily customize filters and timeframes directly from the settings.
💡 Goal: Help traders make more confident, well-informed decisions based on real liquidity and order flow zones rather than random signals.
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⚠️ Disclaimer:
- This indicator is not financial advice.
- Always combine it with proper risk management, fundamental analysis, and market context.
🔔 Don’t forget to set alerts to stay on top of key signals!
مع تحيات محمد الابرزي وقروب ابو سلطان
Volume Weighted Regression ChannelThis indicator constructs a volume-weighted linear regression channel over a custom time range.
It’s conceptually similar to a Volume Profile, but instead of projecting horizontal value zones, it builds a tilted trend channel that reflects both price direction and volume concentration.
🧠 Core Features:
Volume-weighted points: Each candle contributes to the regression line proportionally to its volume — heavier candles shift the channel toward high-activity price zones.
Linear regression line: Shows the trend direction within the selected time interval.
±σ boundaries: Outer bands represent the standard deviation of price (also volume-weighted), highlighting statistical dispersion.
Fully customizable: Adjustable line styles, widths, and channel width (sigma multiplier).
Time window control: Select any start and end time to define the regression interval.
📊 Why use this instead of Volume Profile?
While Volume Profile shows horizontal distributions of traded volume, this indicator is ideal when:
You want to understand how volume clusters affect trend direction, not just price levels.
You're analyzing time-dependent flow rather than static price zones.
You're looking for a dynamic volume-adjusted channel that moves with the market's structure.
It’s especially useful in identifying volume-supported trends, hidden pullback zones, and statistical extremes.
⚙️ Notes:
Works on any timeframe and instrument.
Does not repaint.
Does not require volume profile data feeds — uses standard volume and hl2.
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot
📊 Overview
The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction.
⚡ What Makes This Script Original
This implementation solves several technical challenges that existing pivot indicators face:
🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations
🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session
💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization
🧮 CDP Calculation Formula
The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C):
CDP = (H + L + C) ÷ 3 (Central Decision Point)
AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance)
NH = 2×CDP – L (Near High - Moderate Resistance)
AL = 2×CDP – 2×H + L (Anchor Low - Strong Support)
NL = 2×CDP – H (Near Low - Moderate Support)
✨ Key Features
🎨 Visual Elements
📈 Five Distinct Price Levels: Each with customizable colors and line styles
🏷️ Smart Label System: Shows exact price values for each level
📋 Optional Value Table: Displays all levels in an organized table format
🎯 Clean Chart Display: Minimal visual clutter while maximizing information
⚙️ Technical Advantages
🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts
🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts
✅ Data Validation: Built-in checks ensure reliable calculations
🚀 Performance Optimized: Efficient code structure for fast loading
💼 Trading Applications
🔄 Reversal Zones: AH and AL often act as strong turning points
💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation
🛡️ Risk Management: Use levels for stop-loss and take-profit placement
🏗️ Market Structure: Understand daily ranges and potential price targets
📚 How to Use
🚀 Basic Setup
Add the indicator to your chart (works on any timeframe)
Customize colors for easy identification of support/resistance zones
Enable the value table for quick reference of exact price levels
📈 Trading Strategy Examples
🟢 Long Bias: Look for bounces at NL or AL levels
🔴 Short Bias: Watch for rejections at NH or AH levels
💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels
↔️ Range Trading: Use CDP as the central reference point for range-bound markets
🎯 Advanced Strategy Combinations
RSI Integration for Enhanced Signals: 📊
📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries
📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities
🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential
⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes
⚙️ Configuration Options
🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors
👁️ Display Preferences: Toggle individual levels, labels, and value table
📍 Table Position: Place the value table anywhere on your chart
🔔 Alert System: Get notifications when price crosses key levels
🔧 Technical Implementation Details
🎯 Data Reliability
The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day.
🔄 Multi-Timeframe Logic
⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines
📅 Daily Charts: Show current day's levels based on yesterday's OHLC
🔍 Consistency Check: All timeframes reference the same source data
🤔 Why CDP vs Standard Pivots?
Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors.
💡 Best Practices
💧 Use on liquid markets for most reliable results
📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis
📊 Combine with volume analysis for confirmation
🔍 Consider multiple timeframe analysis (daily levels on hourly charts)
📝 Test thoroughly in paper trading before live implementation
💪 Example Market Applications
NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels
$NYSE:SPY SPY - Index trading with CDP range analysis
NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels
⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
Technical Strength Index (TSI)📘 TSI with Dynamic Bands – Technical Strength Index
The TSI with Dynamic Bands is a multi-factor indicator designed to measure the statistical strength and structure of a trend. It combines several quantitative metrics into a single, normalized score between 0 and 1, allowing traders to assess the technical quality of market moves and detect overbought/oversold conditions with adaptive precision.
🧠 Core Components
This indicator draws from the StatMetrics library, blending:
📈 Trend Persistence: via the Hurst exponent, indicating whether price action is mean-reverting or trending.
📉 Risk-Adjusted Volatility: via the inverted , rewarding smoother, less erratic price movement.
🚀 Momentum Strength: using a combination of directional momentum and Z-score–normalized returns.
These components are normalized and averaged into the TSI line.
🎯 Features
TSI Line: Composite score of trend quality (0 = weak/noise, 1 = strong/structured).
Dynamic Bands: Mean ± 1 standard deviation envelopes provide adaptive context.
Overbought/Oversold Detection: Based on a rolling quantile (e.g. 90th/10th percentile of TSI history).
Signal Strength Bar (optional): Measures how statistically extreme the current TSI value is, helping validate confidence in trade setups.
Dynamic Color Cues: Background and bar gradients help visually identify statistically significant zones.
📈 How to Use
Look for overbought (red background) or oversold (green background) conditions as potential reversal zones.
Confirm trend strength with the optional signal strength bar — stronger values suggest higher signal confidence.
Use the TSI line and context bands to filter out noisy ranges and focus on structured price moves.
⚙️ Inputs
Lookback Period: Controls the smoothing and window size for statistical calculations.
Overbought/Oversold Quantiles: Adjust the thresholds for signal zones.
Plot Signal Strength: Enable or disable the signal confidence bar.
Overlay Signal Strength: Show signal strength in the same panel (compact) or not (cleaner TSI-only view).
🛠 Example Use Cases
Mean reversion traders identifying reversal zones with statistical backing
Momentum/Trend traders confirming structure before entries
Quantitative dashboards or multi-asset screening tools
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
This AI is not a financial advisor; please consult your financial advisor for personalized advice.
StochFusion – Multi D-LineStochFusion – Multi D-Line
An advanced fusion of four Stochastic %D lines into one powerful oscillator.
What it does:
Combines four user-weighted Stochastic %D lines—from fastest (9,3) to slowest (60,10)—into a single “Fusion” line that captures both short-term and long-term momentum in one view.
How to use:
Adjust the four weights (0–10) to emphasize the speed of each %D component.
Watch the Fusion line crossing key zones:
– Above 80 → overbought condition, potential short entry.
– Below 20 → oversold condition, potential long entry.
– Around 50 → neutral/midline, watch for trend shifts.
Applications:
Entry/exit filter: Only take trades when the Fusion line confirms zone exits.
Trend confirmation: Analyze slope and cross of the midline for momentum strength.
Multi-timeframe alignment: Use on different chart resolutions to find confluence.
Tips & Tricks:
Default weights give more influence to slower %D—good for trend-focused strategies.
Equal weights provide a balanced oscillator that mimics an ensemble average.
Experiment: Increase the fastest weight to capture early reversal signals.
Developed by: TradeQUO — inspired by DayTraderRadio John
“The best momentum indicator is the one you adapt to your own trading rhythm.”
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry
A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics
What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets.
The Theoretical Foundation
Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through:
Hurst Exponent Calculation: H = log(R/S) / log(n/2)
Where:
R = Range of cumulative deviations
S = Standard deviation
n = Period length
This measures market memory:
H > 0.5: Trending (persistent) behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting (anti-persistent) behavior
Fractal Dimension: D = 2 - H
This quantifies market complexity, where higher dimensions indicate more chaotic behavior.
Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences:
Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor
Where:
φ = 0.618 (golden ratio)
Fn = Fibonacci number (8, 13, 21, 34, 55)
Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5
This creates oscillating spirals that contract and expand with market energy.
The Volatility Cascade System
Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands:
Cascade Level Calculation: Level(i) = ATR(20) × φ^i
Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels.
Implementation Architecture
Core Components:
Fractal Analysis Engine
Calculates Hurst exponent over user-defined periods
Derives fractal dimension for complexity measurement
Identifies market regime (trending/ranging/chaotic)
Fibonacci Vortex Generator
Creates 5 independent spiral oscillators
Each spiral follows a Fibonacci period
Volume amplification creates dynamic response
Cascade Band System
Up to 8 volatility levels
Golden ratio expansion between levels
Dynamic coloring based on fractal state
Confluence Detection
Identifies convergence of vortex and cascade levels
Highlights high-probability reversal zones
Real-time confluence strength calculation
Signal Generation Logic
The MFCV generates two primary signal types:
Fractal Signals: Generated when:
Hurst > 0.65 (strong trend) AND volatility expanding
Hurst < 0.35 (mean reversion) AND RSI < 35
Trend strength > 0.4 AND vortex alignment
Cascade Signals: Triggered by:
RSI > 60 AND price > SMA(50) AND bearish vortex
RSI < 40 AND price < SMA(50) AND bullish vortex
Volatility expansion AND trend strength > 0.3
Both signals implement a 15-bar cooldown to prevent overtrading.
Advanced Input System
Mandelbrot Parameters:
Cascade Levels (3-8):
Controls number of volatility bands
Crypto: 5-7 (high volatility)
Indices: 4-5 (moderate volatility)
Forex: 3-4 (low volatility)
Hurst Period (20-200):
Lookback for fractal calculation
Scalping: 20-50
Day Trading: 50-100
Swing Trading: 100-150
Position Trading: 150-200
Cascade Ratio (1.0-3.0):
Band width multiplier
1.618: Golden ratio (default)
Higher values for trending markets
Lower values for ranging markets
Fractal Memory (21-233):
Fibonacci retracement lookback
Uses Fibonacci numbers for harmonic alignment
Fibonacci Vortex Settings:
Spiral Periods:
Comma-separated Fibonacci sequence
Fast: "5,8,13,21,34" (scalping)
Standard: "8,13,21,34,55" (balanced)
Extended: "13,21,34,55,89" (swing)
Rotation Speed (0.1-2.0):
Controls spiral oscillation frequency
0.618: Golden ratio (balanced)
Higher = more signals, more noise
Lower = smoother, fewer signals
Volume Amplification:
Enables dynamic spiral expansion
Essential for stocks and crypto
Disable for forex (no central volume)
Visual System Architecture
Cascade Bands:
Multi-level volatility envelopes
Gradient coloring from primary to secondary theme
Transparency increases with distance from price
Fill between bands shows fractal structure
Vortex Spirals:
5 Fibonacci-period oscillators
Blue above price (bullish pressure)
Red below price (bearish pressure)
Multiple display styles: Lines, Circles, Dots, Cross
Dynamic Fibonacci Levels:
Auto-updating retracement levels
Smart update logic prevents disruption near levels
Distance-based transparency (closer = more visible)
Updates every 50 bars or on volatility spikes
Confluence Zones:
Highlighted boxes where indicators converge
Stronger confluence = stronger support/resistance
Key areas for reversal trades
Professional Dashboard System
Main Fractal Dashboard: Displays real-time:
Hurst Exponent with market state
Fractal Dimension with complexity level
Volatility Cascade status
Vortex rotation impact
Market regime classification
Signal strength percentage
Active indicator levels
Vortex Metrics Panel: Shows:
Individual spiral deviations
Convergence/divergence metrics
Real-time vortex positioning
Fibonacci period performance
Fractal Metrics Display: Tracks:
Dimension D value
Market complexity rating
Self-similarity strength
Trend quality assessment
Theory Guide Panel: Educational reference showing:
Mandelbrot principles
Fibonacci vortex concepts
Dynamic trading suggestions
Trading Applications
Trend Following:
High Hurst (>0.65) indicates strong trends
Follow cascade band direction
Use vortex spirals for entry timing
Exit when Hurst drops below 0.5
Mean Reversion:
Low Hurst (<0.35) signals reversal potential
Trade toward vortex spiral convergence
Use Fibonacci levels as targets
Tighten stops in chaotic regimes
Breakout Trading:
Monitor cascade band compression
Watch for vortex spiral alignment
Volatility expansion confirms breakouts
Use confluence zones for targets
Risk Management:
Position size based on fractal dimension
Wider stops in high complexity markets
Tighter stops when Hurst is extreme
Scale out at Fibonacci levels
Market-Specific Optimization
Cryptocurrency:
Cascade Levels: 5-7
Hurst Period: 50-100
Rotation Speed: 0.786-1.2
Enable volume amplification
Stock Indices:
Cascade Levels: 4-5
Hurst Period: 80-120
Rotation Speed: 0.5-0.786
Moderate cascade ratio
Forex:
Cascade Levels: 3-4
Hurst Period: 100-150
Rotation Speed: 0.382-0.618
Disable volume amplification
Commodities:
Cascade Levels: 4-6
Hurst Period: 60-100
Rotation Speed: 0.5-1.0
Seasonal adjustment consideration
Innovation and Originality
The MFCV represents several breakthrough innovations:
First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory
Unique synthesis of chaos theory and sacred geometry
Novel application of Hurst exponent to spiral dynamics
Dynamic Volatility Cascade System
Golden ratio-based band expansion
Multi-timeframe fractal analysis
Self-adjusting to market conditions
Volume-Amplified Vortex Spirals
Revolutionary spiral calculation method
Dynamic response to market participation
Multiple Fibonacci period integration
Intelligent Signal Generation
Cooldown system prevents overtrading
Multi-factor confirmation required
Regime-aware signal filtering
Professional Analytics Dashboard
Institutional-grade metrics display
Real-time fractal analysis
Educational integration
Development Journey
Creating the MFCV involved overcoming numerous challenges:
Mathematical Complexity: Implementing Hurst exponent calculations efficiently
Visual Clarity: Displaying multiple indicators without cluttering
Performance Optimization: Managing array operations and calculations
Signal Quality: Balancing sensitivity with reliability
User Experience: Making complex theory accessible
The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability.
Best Practices and Guidelines
Start Simple: Use default settings initially
Match Timeframe: Adjust parameters to your trading style
Confirm Signals: Never trade MFCV signals in isolation
Respect Regimes: Adapt strategy to market state
Manage Risk: Use fractal dimension for position sizing
Color Themes
Six professional themes included:
Fractal: Balanced blue/purple palette
Golden: Warm Fibonacci-inspired colors
Plasma: Vibrant modern aesthetics
Cosmic: Dark mode optimized
Matrix: Classic green terminal
Fire: Heat map visualization
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results.
The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose.
Acknowledgments
Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance.
"The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot
Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV.
— Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Average RSI (Daily + Weekly)📈 Average RSI (Relative Strength Index) – Beginner’s Guide
What it is:
The Average RSI is a technical indicator that combines multiple RSI values—such as daily and weekly RSI—into a single, smoothed line. This helps traders get a clearer picture of a stock’s momentum over both short- and medium-term timeframes.
Why it matters:
The RSI tells you whether a stock is potentially overbought (priced too high and due for a pullback) or oversold (priced too low and due for a bounce). Traditional RSI uses a scale from 0 to 100, with key levels at 70 (overbought) and 30 (oversold).
By averaging RSI across different timeframes, you reduce noise and get a better signal for trends and reversals.
How traders use it:
✅ Buy zone: When the average RSI dips below 40, it could signal a good entry point.
⚠️ Neutral zone: Between 40 and 60 means the trend isn’t strong—wait for more confirmation.
🚫 Sell zone: Above 60–70 may indicate the asset is overbought or due for a pullback.
Helpful for:
Spotting better entry/exit points
Filtering out false signals
Staying in trend-following trades longer
ADX+ Oscillator📈 ADX+ Oscillator — Enhanced Trend Strength Indicator
🔹 Description:
A modified oscillator based on the ADX (Average Directional Index), providing both visual and digital interpretation of trend strength and direction. A powerful tool for filtering sideways markets and identifying strong impulses across any timeframe.
🔹 Features:
• ADX line to assess trend strength
• DI+ and DI− lines to determine trend direction
• Colored background zones:
• Gray: ranging market (ADX < 20)
• Orange: transition zone (20 ≤ ADX < 25)
• Green: strong trend (ADX ≥ 25)
• Digital value labels for ADX / DI+ / DI− on the latest candle
• Signal arrows when DI+ crosses DI− and vice versa
🔹 Why use it:
• Signal filtering: avoid trades in flat markets (ADX < 20)
• Trend confirmation: enter only when ADX is rising above 25
• Directional guidance via DI+ and DI− behavior
🔹 Best for:
• Scalping (1m, 5m)
• Intraday trading (15m, 1h)
• Swing trading (4h and above)
• Breakout and pullback strategies
Hurst Exponent Oscillator [PhenLabs]📊 Hurst Exponent Oscillator -
Version: PineScript™ v5
📌 Description
The Hurst Exponent Oscillator (HEO) by PhenLabs is a powerful tool developed for traders who want to distinguish between trending, mean-reverting, and random market behaviors with clarity and precision. By estimating the Hurst Exponent—a statistical measure of long-term memory in financial time series—this indicator helps users make sense of underlying market dynamics that are often not visible through traditional moving averages or oscillators.
Traders can quickly know if the market is likely to continue its current direction (trending), revert to the mean, or behave randomly, allowing for more strategic timing of entries and exits. With customizable smoothing and clear visual cues, the HEO enhances decision-making in a wide range of trading environments.
🚀 Points of Innovation
Integrates advanced Hurst Exponent calculation via Rescaled Range (R/S) analysis, providing unique market character insights.
Offers real-time visual cues for trending, mean-reverting, or random price action zones.
User-controllable EMA smoothing reduces noise for clearer interpretation.
Dynamic coloring and fill for immediate visual categorization of market regime.
Configurable visual thresholds for critical Hurst levels (e.g., 0.4, 0.5, 0.6).
Fully customizable appearance settings to fit different charting preferences.
🔧 Core Components
Log Returns Calculation: Computes log returns of the selected price source to feed into the Hurst calculation, ensuring robust and scale-independent analysis.
Rescaled Range (R/S) Analysis: Assesses the dispersion and cumulative deviation over a rolling window, forming the core statistical basis for the Hurst exponent estimate.
Smoothing Engine: Applies Exponential Moving Average (EMA) smoothing to the raw Hurst value for enhanced clarity.
Dynamic Rolling Windows: Utilizes arrays to maintain efficient, real-time calculations over user-defined lengths.
Adaptive Color Logic: Assigns different highlight and fill colors based on the current Hurst value zone.
🔥 Key Features
Visually differentiates between trending, mean-reverting, and random market modes.
User-adjustable lookback and smoothing periods for tailored sensitivity.
Distinct fill and line styles for each regime to avoid ambiguity.
On-chart reference lines for strong trending and mean-reverting thresholds.
Works with any price series (close, open, HL2, etc.) for versatile application.
🎨 Visualization
Hurst Exponent Curve: Primary plotted line (smoothed if EMA is used) reflects the ongoing estimate of the Hurst exponent.
Colored Zone Filling: The area between the Hurst line and the 0.5 reference line is filled, with color and opacity dynamically indicating the current market regime.
Reference Lines: Dash/dot lines mark standard Hurst thresholds (0.4, 0.5, 0.6) to contextualize the current regime.
All visual elements can be customized for thickness, color intensity, and opacity for user preference.
📖 Usage Guidelines
Data Settings
Hurst Calculation Length
Default: 100
Range: 10-300
Description: Number of bars used in Hurst calculation; higher values mean longer-term analysis, lower values for quicker reaction.
Data Source
Default: close
Description: Select which data series to analyze (e.g., Close, Open, HL2).
Smoothing Length (EMA)
Default: 5
Range: 1-50
Description: Length for smoothing the Hurst value; higher settings yield smoother but less responsive results.
Style Settings
Trending Color (Hurst > 0.5)
Default: Blue tone
Description: Color used when trending regime is detected.
Mean-Reverting Color (Hurst < 0.5)
Default: Orange tone
Description: Color used when mean-reverting regime is detected.
Neutral/Random Color
Default: Soft blue
Description: Color when market behavior is indeterminate or shifting.
Fill Opacity
Default: 70-80
Range: 0-100
Description: Transparency of area fills—higher opacity for stronger visual effect.
Line Width
Default: 2
Range: 1-5
Description: Thickness of the main indicator curve.
✅ Best Use Cases
Identifying if a market is regime-shifting from trending to mean-reverting (or vice versa).
Filtering signals in automated or systematic trading strategies.
Spotting periods of randomness where trading signals should be deprioritized.
Enhancing mean-reversion or trend-following models with regime-awareness.
⚠️ Limitations
Not predictive: Reflects current and recent market state, not future direction.
Sensitive to input parameters—overfitting may occur if settings are changed too frequently.
Smoothing can introduce lag in regime recognition.
May not work optimally in markets with structural breaks or extreme volatility.
💡 What Makes This Unique
Employs advanced statistical market analysis (Hurst exponent) rarely found in standard toolkits.
Offers immediate regime visualization through smart dynamic coloring and zone fills.
🔬 How It Works
Rolling Log Return Calculation:
Each new price creates a log return, forming the basis for robust, non-linear analysis. This ensures all price differences are treated proportionally.
Rescaled Range Analysis:
A rolling window maintains cumulative deviations and computes the statistical “range” (max-min of deviations). This is compared against the standard deviation to estimate “memory”.
Exponent Calculation & Smoothing:
The raw Hurst value is translated from the log of the rescaled range ratio, and then optionally smoothed via EMA to dampen noise and false signals.
Regime Detection Logic:
The smoothed value is checked against 0.5. Values above = trending; below = mean-reverting; near 0.5 = random. These control plot/fill color and zone display.
💡 Note:
Use longer calculation lengths for major market character study, and shorter ones for tactical, short-term adaptation. Smoothing balances noise vs. lag—find a best fit for your trading style. Always combine regime awareness with broader technical/fundamental context for best results.
Al Brooks Second Entry**\ Al Brooks Second Entry Indicator\ **
This custom indicator helps identify second-entry setups based on Al Brooks' price action principles. The script marks key levels in trending markets, indicating potential long and short entries. It displays the first and second entry signals (H1, H2, L1, L2) as well as relevant pullback zones for added clarity.
\ Features:\
\
\ \ First Entry Signals\ : H1 (Long) and L1 (Short) are marked when a trend begins to form.
\ \ Second Entry Signals\ : H2 (Long) and L2 (Short) are plotted once the market pulls back and continues in the direction of the trend.
\ \ EMA Filter\ : An Exponential Moving Average (EMA) is included to filter trades in the direction of the trend (longs above EMA, shorts below EMA).
\ \ Pullback Zones\ : Highlighted areas to assist in identifying optimal zones for entry.
\ \ Adjustable Label Sizes\ : Customize the appearance of the entry labels (tiny or small).
\
\ Inputs:\
\
\ \ Show First/Second Entry\ : Control whether the first (H1, L1) and second (H2, L2) entry signals are displayed.
\ \ EMA Length\ : Set the length of the EMA to use for trend direction.
\ \ Label Size\ : Choose between tiny and small label sizes for clear chart visibility.
\ \ Pullback Zones\ : Toggle the highlighting of pullback zones.
\
\ How it Works:\
\
\ The indicator detects a trend direction using price action (new highs/lows, inside/outside bars).
\ Once a trend is identified, it waits for a pullback and marks the first and second entry points (H1, H2, L1, L2).
\ The indicator also plots the EMA to help confirm the overall market bias.
\ Pullback zones are drawn to help spot potential areas of support or resistance.
\
This script is ideal for traders looking to trade retracements in trending markets, providing clear entry signals and a visual representation of market structure.
Volumetric Pivot Echo🔮 Volumetric Pivot Echo (VPE)
Future Price Projection Zones with Confidence Scoring
📘 Overview
The Volumetric Pivot Echo (VPE) is a next-generation leading indicator that identifies high-volume reversal points and echoes their price + time behavior into the future — giving you a visual forecast box that includes a confidence score, price range, and duration estimate.
It’s designed for swing and options traders who want forward guidance based on real structure, not just reactive signals.
⚙️ How It Works
Pivot Detection – Finds pivot highs/lows based on configurable bar structure.
Volume Confirmation – Only confirms pivots backed by strong volume (e.g., 1.5× average).
Echo Logic – Measures the price move and time it took to reach the pivot.
ATR Scaling – Adjusts projections based on current market volatility.
Confidence Score – Rates each projection (0–100%) based on structure match, volatility, and direction alignment.
📦 What Appears on Chart
Projection Box:
A forward-drawn rectangle from the current bar to the estimated future zone. The box's size and duration mirror the last valid momentum leg.
Box Label Text:
🔹 Range (projected move size)
⏱️ Duration (bars expected)
✅ Confidence %
VPH/VPL Markers:
Pivot highs and lows confirmed by volume, marked with “VPH” or “VPL”.
🎯 How to Trade with It
Use the box as a target zone for directional trades.
If price enters a box with >85% confidence, consider it a high-quality path projection.
Use with support/resistance confluence or entry systems.
Works especially well for swing trading, breakout setups, or options targeting.
🛠️ Recommended Settings
Box Transparency: Set Projection Up/Down Color to 90 (10% visible).
Text Color: Set to white for readability.
Volume Multiplier: Default 1.5x, increase in choppy markets.
Projection Duration: Start with 1.0x echo multiplier and fine-tune.
⏳ Timeframes & Accuracy
Timeframe Confidence Zones Most Reliable
15m – 1h Use 70–85% confidence scores
1h – 4h Sweet spot for balanced signals
1D – 1W Strongest historical echo tracking (>85% ideal)
✅ Key Features
Forward-looking, non-repainting logic
Clear visual projections — no guesswork
Confidence scoring built-in
ATR-adjusted — adapts to volatility
Works on any asset (stocks, crypto, FX)
🧠 Why It’s Unique
This is not a lagging oscillator or classic trend-following tool.
It’s a leading structure projection model — combining pivot behavior, volume intensity, and market volatility to sketch forward “echo zones” based on the past.
Equal High/Low (EQH/EQL) [AlgoAlpha]OVERVIEW
This script detects and visualizes Equal High (EQH) and Equal Low (EQL) zones—key liquidity areas where price has previously stalled or reversed. These levels often attract institutional interest due to the liquidity buildup around them. The indicator is built to highlight such zones using dynamic thresholding, overbought/oversold RSI filtering, and adaptive mitigation logic to manage zone relevance over time.
CONCEPTS
Equal Highs/Lows are price points where the market has repeatedly failed to break past a certain high or low, hinting at areas where stop orders and pending interest may be concentrated. These areas are often prime targets for liquidity grabs or reversals. By combining this with RSI filtering, the script avoids false signals during neutral conditions and instead focuses on zones where market pressure is more directional.
FEATURES
Detection Logic: The script identifies EQH and EQL zones by comparing the similarity between recent highs or lows with a dynamic volatility threshold. The `tolerance` input allows users to control how strict this comparison is.
RSI Filtering: If enabled, it only creates zones when RSI is significantly overbought or oversold (based on the `state_thresh` input). This helps ensure zones form only in meaningful market conditions.
Zone Display: Bullish (EQL) zones are shown in grey, while bearish (EQH) zones are in blue. Two horizontal lines mark the zone using wick and body extremes, and a filled area visualizes the zone between them.
Zone Management: Zones automatically extend with price until they’re invalidated. You can choose whether a zone is removed based on wick or body sweeps and whether it requires one or two candle confirmations. Zones also expire after a customizable number of bars.
Alerts: Four alert conditions are built in—when a new EQH/EQL is formed and when one is mitigated—making it easy to integrate into alert-based workflows.
USAGE
Equal highs/lows can be used as liquidity markers, either as entry points or as take-profit targets.
This tool is ideal for liquidity-based strategies and helps traders map out possible reversal or sweep zones that often precede aggressive moves.
Long-Term VWAP Mean Reversion SDCACore Idea:
This indicator is designed to support Strategic Dollar Cost Averaging (SDCA) for Bitcoin using a cumulative VWAP-based mean reversion model. It helps long-term investors identify high-conviction buy zones and overbought conditions using statistical deviation from the cumulative VWAP. This indicator evaluates how much price is stretched from the true market average price, weighted by cumulative volume over time.
Core Concepts and Formulas:
Cumulative VWAP (Volume Weighted Average Price):
VWAP cumulative = ∑(Price×Volume) / ∑Volume
A long-term anchor that reflects the average dollar cost of all market participants across all candles. This version does not reset daily, unlike intraday VWAP.
VWAP Deviation % :
Deviation% = Price - VWAP cumulative / VWAP cumulative x 100
Shows how far current price has diverged from the long-term fair value.
Z-Score of VWAP Deviation:
Z= (Price−VWAP)−μ / σ (lookback period: default 200)
SDCA Multiplier Mapping:
*Keep in mind in my Z-Score system, -2 represents the overbought level (white horizontal line) and +2 represents oversold (cyan horizontal line) conditions. So the scores on the Y axis and Z-score in the table are reversed.
| Z-Score Range | SDCA Multiplier |
---------------------------------------------
| ≤ -2 | 0.25×
| -1 to +1 | 1.0×
| > +2 | 2.0×
The pink line plots this multiplier. It’s meant to control buy weight at each time step.
How to Use This for SDCA:
-Buy normally when the multiplier is 1.0× (Z-score between -1 and +1)
-Accelerate buying when Z-score is deeply negative (price far below VWAP)
-Slow or pause buying when Z-score is high (price far above VWAP)
-Use the stats panel to track current Z-score, VWAP level, deviation %, and multiplier
-Watch the red/blue backgrounds as visual confirmation of oversold/overbought zones
Inputs:
Z-Score Lookback Length:
Default: 200 but can be adjusted.
Visuals:
Z-Score Line (cyan): shows current standardized deviation from VWAP
Multiplier Line (bright pink): your SDCA intensity signal
Background Zones: cyan = oversold, white = overbought
Horizontal Lines: +2 and -2 standard deviation thresholds
Stats Panel (bottom right): live values for Z-score, multiplier, price, VWAP, and the deviation formula
Suited For:
-Long-term Bitcoin investors
-SDCA Systems
-Mean reversion systems
-Macro-level buy/sell planning
Pmax + T3Pmax + T3 is a versatile hybrid trend-momentum indicator that overlays two complementary systems on your price chart:
1. Pmax (EMA & ATR “Risk” Zones)
Calculates two exponential moving averages (Fast EMA & Slow EMA) and plots them to gauge trend direction.
Highlights “risk zones” behind price as a colored background:
Green when Fast EMA > Slow EMA (up-trend)
Red when Fast EMA < Slow EMA (down-trend)
Yellow when EMAs are close (“flat” zone), helping you avoid choppy markets.
You can toggle risk-zone highlighting on/off, plus choose to ignore signals in the yellow (neutral) zone.
2. T3 (Triple-Smoothed EMA Momentum)
Applies three sequential EMA smoothing (the classic “T3” algorithm) to your chosen source (usually close).
Fills the area between successive T3 curves with up/down colors for a clear visual of momentum shifts.
Optional neon-glow styling (outer, mid, inner glows) in customizable widths and transparencies for a striking “cyber” look.
You can highlight T3 movements only when the line is rising (green) or falling (red), or disable movement coloring.
Wyckoff Accumulation Distribution Wyckoff Accumulation & Distribution Indicator (RSI-Based)
This Pine Script is a technical analysis indicator built around the Wyckoff Method, designed to detect accumulation and distribution phases using RSI (Relative Strength Index) and pivot points. It automatically marks key structural turning points on the chart and highlights relevant zones with colored boxes.
What Does It Do?
Draws accumulation and distribution boxes based on RSI behavior.
Automatically detects Wyckoff structural signals:
SC (Selling Climax)
AR (Automatic Rally)
ST (Secondary Test)
BC (Buying Climax)
DAR (Automatic Reaction)
DST (Secondary Test - Distribution)
Identifies trend transitions by detecting sideways RSI movement.
Attempts to detect spring and UTAD-like deviations based on RSI reversals.
Uses RSI extremes in conjunction with pivot points to generate Wyckoff signals.
How Does It Work?
RSI Zone: It identifies sideways markets when RSI stays within ±20 of the 50 level (this range is configurable).
Pivot Points: It detects pivot highs/lows that sync with RSI values (pivotLen is adjustable).
Trend Box Drawing:
When RSI exits the sideways zone, the script draws a gray box between the highest high and lowest low within that range.
If RSI breaks upward, the box becomes green (Accumulation); if downward, it becomes red (Distribution).
Wyckoff Structural Points:
SC/BC: Detected when a pivot occurs with RSI below/above a threshold.
AR/DAR: The next opposite pivot after SC or BC.
ST/DST: The next same-direction pivot after AR or DAR.
How to Use It
Works best on 4H or daily charts for more reliable signals. Shorter timeframes may generate noise.
Primarily used for interpreting RSI structures through the lens of Wyckoff methodology.
Box colors help quickly identify market phase:
Green box: Likely Accumulation
Red box: Likely Distribution
Triangular markers show key signals:
SC, AR, ST: Accumulation points
BC, DAR, DST: Distribution points
Use these signals alongside price action to manually interpret Wyckoff phases.
image.binance.vision
image.binance.vision
What Is the Wyckoff Method?
The Wyckoff Method, developed in the 1930s by Richard Wyckoff, is a market analysis approach that focuses on supply and demand dynamics behind price movements.
Wyckoff’s 5 Phases:
Accumulation: Smart money gradually buying at low prices.
Markup: Price begins trending upwards.
Distribution: Smart money selling to retail traders.
Markdown: Downtrend begins as supply outweighs demand.
Re-accumulation / Re-distribution: Trend-continuation phases with consolidations.
This indicator is specifically designed to detect phase 1 (Accumulation) and phase 3 (Distribution).
Extra Notes
Repainting is minimal, as pivots are confirmed using historical candles.
Labels use plotshape for a clean, minimalist visual style.
Other Wyckoff events (like SOS, LPS, UT, UTAD) could be added in future updates.
This script does not generate buy/sell signals; it is meant for structural interpretation.
