Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Bands and Channels
[blackcat] L3 Adaptive Trend SeekerOVERVIEW
The indicator is designed to help traders identify dynamic trends in various markets efficiently. It employs advanced calculations including Dynamic Moving Averages (DMAs) and multiple moving averages to filter out noise and provide clear buy/sell signals 📈✨. By utilizing innovative algorithms that adapt to changing market conditions, this tool enables users to make informed decisions across different timeframes and asset classes.
This versatile indicator serves both novice and experienced traders seeking reliable ways to navigate volatile environments. Its primary objective is to simplify complex trend analysis into actionable insights, making it an indispensable addition to any trader’s arsenal ⚙️🎯.
FEATURES
Customizable Dynamic Moving Average: Calculates an adaptive moving average tailored to specific needs using customizable coefficients.
Trend Identification: Utilizes multi-period moving averages (e.g., short-term, medium-term, long-term) to discern prevailing trends accurately.
Crossover Alerts: Provides visual cues via labels when significant crossover events occur between key indicators.
Adjusted MA Plots: Displays steplines colored according to the current trend direction (green for bullish, red for bearish).
Historical Price Analysis: Analyzes historical highs and lows over specified periods, ensuring robust trend identification.
Conditional Signals: Generates bullish/bearish conditions based on predefined rules enhancing decision-making efficiency.
HOW TO USE
Script Installation:
Copy the provided code and add it under Indicators > Add Custom Indicator within TradingView.
Choose an appropriate name and enable it on your desired charts.
Parameter Configuration:
Adjust the is_trend_seeker_active flag to activate/deactivate the core functionality as needed.
Modify other parameters such as smoothing factors if more customized behavior is required.
Interpreting Trends:
Observe the steppled lines representing the long-term/trend-adjusted moving averages:
Green indicates a bullish trend where prices are above the dynamically calculated threshold.
Red signifies a bearish environment with prices below respective levels.
Pay attention to labels marked "B" (for Bullish Crossover) and "S" (for Bearish Crossover).
Signal Integration:
Incorporate these generated signals within broader strategies involving support/resistance zones, volume data, and complementary indicators for stronger validity.
Use crossover alerts responsibly by validating them against recent market movements before execution.
Setting Up Alerts:
Configure alert notifications through TradingView’s interface corresponding to crucial crossover events ensuring timely responses.
Backtesting & Optimization:
Conduct extensive backtests applying diverse datasets spanning varied assets/types verifying robustness amidst differing conditions.
Refine parameters iteratively improving overall effectiveness and minimizing false positives/negatives.
EXAMPLE SCENARIOS
Swing Trading: Employ the stepline crossovers coupled with momentum oscillators like RSI to capitalize on intermediate trend reversals.
Day Trading: Leverage rapid adjustments offered by short-medium term MAs aligning entries/exits alongside intraday volatility metrics.
LIMITATIONS
The performance hinges upon accurate inputs; hence regular recalibration aligning shifting dynamics proves essential.
Excessive reliance solely on this indicator might lead to missed opportunities especially during sideways/choppy phases necessitating additional filters.
Always consider combining outputs with fundamental analyses ensuring holistic perspectives while managing risks effectively.
NOTES
Educational Resources: Delve deeper into principles behind dynamic moving averages and their significance in technical analysis bolstering comprehension.
Risk Management: Maintain stringent risk management protocols integrating stop-loss/profit targets safeguarding capital preservation.
Continuous Learning: Stay updated exploring evolving financial landscapes incorporating new methodologies enhancing script utility and relevance.
THANKS
Thanks to all contributors who have played vital roles refining and optimizing this script. Your valuable feedback drives continual enhancements paving way towards superior trading experiences!
Happy charting, and here's wishing you successful ventures ahead! 🌐💰!
Volatility Gaussian Bands [BigBeluga]The Volatility Gaussian Bands are a technical analysis tool used to assess market volatility and potential price movements. They are constructed by integrating Gaussian (normal) distribution principles with volatility measures to create dynamic bands around price data.
Key Features of Volatility Gaussian Bands:
Basis in Gaussian Distribution:
These bands assume that price returns follow a normal distribution, allowing for probabilistic modeling of expected price ranges.
Advanced EMA's with True Range SignalsThis indicator combines multiple layers of exponential moving averages (EMAs) with a dynamic True Range Filter (TRF) to help traders identify trends and potential entry signals. Designed with clarity and flexibility in mind, the tool features both fixed and adjustable EMAs alongside a custom-built volatility filter.
**Key Features:**
• **Multi-Timeframe Trend Analysis:**
- **Fixed EMAs:**
- **EMA 200 (White):** Serves as the long-term trend indicator, providing overall market context and acting as a dynamic support/resistance level.
- **EMA 9 (Red):** Captures short-term momentum for rapid entry/exit decisions.
These EMAs are hard-coded (with visibility toggles enabled by default) to ensure consistency in trend analysis.
• **Customizable EMAs:**
- Two adjustable EMAs are included for further personalization—one defaulting to a 21-period and the other to a 50-period. Their visibility toggles are off by default, allowing the user to activate them as needed for fine-tuned signal confirmation.
• **Dynamic True Range Filter (TRF):**
- The TRF adapts to market volatility by smoothing price fluctuations using a dual (fast and slow) period approach. This filter generates a dynamic threshold that helps differentiate genuine trend changes from price noise.
- In this version, the TRF is plotted in blue by default, providing a clear visual reference for the trend filter.
• **Signal Generation:**
- **Long Entry:** Occurs when the price is above the TRF combined with upward momentum, with a long signal label (displaying white text) marking potential buying opportunities.
- **Short Entry:** Occurs when the price drops below the TRF with accompanying downward momentum, with a short signal label displayed above the bar.
Alerts for both long and short entries are built in, allowing for timely notifications.
**User Experience:**
The indicator’s Inputs tab is streamlined by grouping all Exponential Moving Averages settings at the top, where fixed EMAs are always active and adjustable EMAs can be toggled on per user preference. The True Range Filter settings follow in their own group, enabling easy customization of its source and smoothing parameters. In the Styles tab, only the fixed EMAs (200 and 9) and the signal labels are enabled by default, while the adjustable EMAs and the TRF line are initially hidden—allowing the user to opt-in to additional overlays as desired.
This sophisticated blend of trend analysis and dynamic volatility filtering offers traders a robust tool for capturing market direction and timing entries. Whether you’re using it as a primary signal generator or a supplemental filter, it provides clarity in fast-moving markets.
Adaptive RSI | Lyro RSThe Adaptive RSI | 𝓛𝔂𝓻𝓸 𝓡𝓢 indicator enhances the traditional Relative Strength Index (RSI) by integrating adaptive smoothing techniques and dynamic bands. This design aims to provide traders with a nuanced view of market momentum, highlighting potential trend shifts and overbought or oversold conditions.
Key Features
Adaptive RSI Calculation: Combines fast and slow Exponential Moving Averages (EMAs) of the RSI to capture momentum shifts effectively.
Dynamic Bands: Utilizes a smoothed standard deviation approach to create upper and lower bands around the adaptive RSI, aiding in identifying extreme market conditions.
Signal Line: An additional EMA of the adaptive RSI serves as a signal line, assisting in confirming trend directions.
Customizable Color Schemes: Offers multiple predefined color palettes, including "Classic," "Mystic," "Accented," and "Royal," with an option for users to define custom colors for bullish and bearish signals.
How It Works
Adaptive RSI Computation: Calculates the difference between fast and slow EMAs of the RSI, producing a responsive oscillator that adapts to market momentum.
Band Formation: Applies a smoothing factor to the standard deviation of the adaptive RSI, generating dynamic upper and lower bands that adjust to market volatility.
Signal Line Generation: Computes an EMA of the adaptive RSI to act as a signal line, providing additional confirmation for potential entries or exits.
Visualization: Plots the adaptive RSI as color-coded columns, with colors indicating bullish or bearish momentum. The dynamic bands are filled to visually represent overbought and oversold zones.
How to Use
Identify Momentum Shifts: Observe crossovers between the adaptive RSI and the signal line to detect potential changes in trend direction.
Spot Overbought/Oversold Conditions: Monitor when the adaptive RSI approaches or breaches the dynamic bands, signaling possible market extremes.
Customize Visuals: Select from predefined color palettes or define custom colors to align the indicator's appearance with personal preferences or chart themes.
Customization Options
RSI and EMA Lengths: Adjust the lengths of the RSI, fast EMA, slow EMA, and signal EMA to fine-tune the indicator's sensitivity.
Band Settings: Modify the band length, multiplier, and smoothing factor to control the responsiveness and width of the dynamic bands.
Color Schemes: Choose from predefined color modes or enable custom color settings to personalize the indicator's appearance.
⚠️ DISCLAIMER ⚠️: This indicator alone is not reliable and should be combined with other indicator(s) for a stronger signal.
Distance from 52W High & LowThis indicator calculates and plots two percentage metrics in %
Distance from 52 week low
Distance from 52 week high
Features:
Green line: % above 52 week low
Red line: % above 52 week high
Alerts when price is 5% of either extreme
Perfect for traders/ investors who track opportunities near long term lows or highs
BK AK-9I am incredibly proud to introduce my fourth indicator to the TradingView community:
BK AK-9 — a next-level momentum-volatility hybrid, built for traders who demand precision.
🔥 Why “AK-9”? The Meaning Behind the Name
This indicator is deeply personal to me.
The “AK” in the name represents the initials of my mentor — the man whose guidance shaped my journey in trading, discipline, and strategy.
His wisdom is woven into every line of code, every design choice, and every purpose behind this tool.
The “9” holds its own powerful meaning:
9 is the number of completion and breakthrough — the moment where preparation meets opportunity.
The AK-9 weapon itself is a suppressed variant of the legendary AK platform, built for stealth, precision, and maximum impact in close-quarters combat.
It’s quiet, adaptive, and deadly effective — just like this indicator cuts through market noise, adapts to volatility, and pinpoints moments of maximum opportunity.
✨ About the BK AK-9 Indicator
The BK AK-9 is not just an oscillator.
It’s a multi-layered trading weapon combining:
✅ RSI → Stochastic → Bollinger Bands on Stoch RSI → momentum measured inside volatility.
✅ Dynamic or Static Background Flash → when extremes hit, you get instant visual alerts.
✅ Color-coded %K zones →
🔴 Red: oversold
🟢 Green: overbought
🔵 Blue: neutral
✅ Volatility-adaptive bands → instead of relying on static levels, the bands expand and contract dynamically using standard deviation.
🛡️ Why This Indicator Matters
Pinpoints exhaustion zones statistically, not emotionally.
Confirms breakouts with volatility evidence, not just price action.
Filters noise and helps you wait for high-probability setups.
Gives you visual edge with color-coded momentum and background flash.
Perfect for:
🔹 Breakout traders confirming momentum surges.
🔹 Mean-reversion traders catching exhaustion pivots.
🔹 Swing traders using multi-layered momentum analysis.
🔹 Momentum traders hunting volatility-backed entries.
💥 How to Use BK AK-9
Breakout Confirmation → when Stoch RSI breaks above upper Bollinger Band (green zone, flash ON), ride the trend.
Mean Reversion Trades → when Stoch RSI drops below lower Bollinger Band (red zone, flash ON), look for reversals.
Noise Filtering → stay patient inside the blue zone, wait for extremes.
Advanced Sync → align it with Gann levels, harmonic patterns, Fibonacci clusters, or Elliott waves for maximum edge.
🙏 Final Thoughts
This isn’t just another tool — it’s a weapon in your trading arsenal.
🔹 Dedicated to my mentor, A.K., whose wisdom and legacy guide my work.
🔹 Designed around the number 9, the number of completion, transition, and breakthrough.
🔹 Built to help traders act with precision, discipline, and clarity.
But above all, I give praise and glory to Gd — the true source of wisdom, insight, and success.
Markets will test your patience and your skill, but faith tests your soul. Through every challenge, every victory, and every setback, Gd remains the constant.
This tool is simply another way to use the gifts He has given — to help others rise.
⚡ Stay Ready, Stay Sharp
The markets are a battlefield. But with the right tools, the right strategy, and the right mindset — you will always stay 10 steps ahead.
🔥 Stay locked. Stay loaded. Trade with precision. 🔥
Gd bless, and may He guide us all to wisdom and success. 🙏
EMA Channel + Kangaroo Tail + Volume This all-in-one indicator combines multiple proven trading concepts into one tool:
🔸 EMA-based Price Channel (with Standard Deviation): helps identify overbought/oversold zones and channel reversals.
🔸 Kangaroo Tail Patterns: a price action setup signaling potential reversals based on wick/close structure.
🔸 Volume Confirmation Filter: filters signals when volume exceeds the average by 20% (1.2×), reducing noise.
🔸 Unconfirmed KT Highlights: shows potential Kangaroo Tails even if volume is not confirmed, so no setup is missed.
🔸 Volume Info Labels: display current and average volume on chart (toggleable).
🧠 Built with ChatGPT based on real-world trader feedback, suitable for both the Moscow Exchange and crypto markets.
✅ Best suited for:
Futures, stocks, crypto.
Timeframes: 15m – 1h, though it works across all timeframes.
🔓 Free to use & modify. If you like it — give it a star or share feedback!
AWR_Oscillateur de DéviationThis indicator calculates linear regression index according to several configurable periods.
There are a total of eight configurable periods.
Each time, the indicator will calculate for each specified range the best linear regression line & then it will plot it as an oscillator.
For example, if the price is at 2 standard deviation of his linear regression line, it will plot it at 2 on the graph. etc...
It will currently be configured by default between 0 and 5000 UT, which provides both a short-term and a very long-term view.
You can set a specific color for each linear regression index.
As a reminder, the linear regression line is based on the least squares method, meaning: the more the price deviates from its regression line, the more statistically likely it is to return to its regression line. From two standard deviations or minus two standard deviations, it is generally statistically proven that we will trend towards the regression line over time.
Here are some key applications:
1. Trend Identification – you can use it to identify the general direction of each period by analysing the slope of linear regression index
2. Support and Resistance Levels – Regression channels help traders identify support and resistance zones, providing insight into optimal entry and exit points in a trend.
3. You can also use the short period linear regression index vs the long period linear regression index to identify important pivot points.
I've added red & blue color to help to identify excess points. Be careful, an excess can be more excessive than expected... ;-)
UM Dual MA with Price Bar Color change & Fill
Description
This is a dual moving average indicator with colored bars and moving averages. I wrote this indicator to keep myself on the right side of the market and trends. It plots two moving averages, (length and type of MA are user-defined) and colors the MAs green when trending higher or red when trending lower. The price bars are green when both MAs are green, red when both MAs are red, and orange when one MA is green and the other is red. The idea behind the indicator is to be extremely visual. If I am buying a red bar, I ask myself "why?" If I am selling a green bar, again, "why?"
Recommended Usage
Configure your tow favorite Moving averages. Consider long positions when one or both turn green. Scale into a position with a portion upon the first MA turning green, and then more when the second turns green. Consider scaling out when the bars are orange after an up move.
Orange bars are either areas of consolidation or prior to major turns.
You can also look for MA crossovers.
The indicator works on any timeframe and any security. I use it on daily, hourly, 2 day charts.
Default settings
The defaults are the author's preferred settings:
- 8 period WMA and 16 period WMA.
- Bars are green when both MAs are trending higher, red when both MAs are trending lower, and orange when one MA is trending higher and the other is trending lower.
Moving average types, lengths, and colors are user-configurable. Bar colors are also user-configurable.
Alerts
Alerts can be set by right-clicking the indicator and selecting the dropdown:
- Bullish Trend Both MAs turning green
- Bearish Trend Both MAs turning red
- Mixed Trend, 1 green 1 red MA
Helpful Hints:
Look for bullish areas when both MAs turn green after a sustained downtrend
Look for bearish areas when both MAs turn red
Careful in areas of orange bars, this could be a consolidation or a warning to a potential trend direction change.
Switch up your timeframes, I toggle back and forth between 1 and 2 days.
Stretch your timeframe over a lower time frame; for example, I like the 8 and 16 daily WMA. With most securities I get 16 bars with pre and post market. This translates into 128 and 256 MAs on the hourly chart. This slows down moves and color transitions for better manageability.
Author's Subjective Observations
I like the 128/256 WMA on the hourly charts for leveraged and inverse ETFs such as SPXL/SPXS, TQQQ/SQQQ, TNA/TZA. Or even the volatility ETFs/ETNS: UVXY, VXX.
Here is a one-hour chart example:
I have noticed that as volatility increases, I should begin looking at higher timeframes. This seems counterintuitive, but higher volatility increases the level of noise or swings.
I question myself when I short a green bar or buy a red bar; "Why am I doing this?" The colors help me visually stay on the right side of trend. If I am going to speculate on a market turn, at least do it when the bars are orange (MA trends differ)
My last observation is a 2-day chart of leveraged ETFs with the 8 and 16 WMAs. I frequently trade SPXL, FNGA, and TNA. If you are really dissecting this indicator,
look at a few 2-day charts. 2-day charts seem to catch the major swings nicely up and down. They also weed out the daily sudden big swings such as a panic move from economic data
or tweets. When both the MAs turn red on a 2-day chart the same day or same bar, beware; this could be a rough ride or short opportunity. I found weekly charts too long for my style but good
to review for direction. Less decisions on longer charts equate to less brain damage for myself.
These are just my thoughts, of course you do you and what suits your style best! Happy Trading.
AWR_WaveTrend MutltitimeframeWaveTrend Oscillator is a port of a famous TS/MT indicator
The WT Multi-Timeframe indicator consists of several lines representing different time frames: monthly (red), weekly (yellow), daily (green), 4-hour (purple), and lower units (blue).
It helps analyze trends and potential turning points, allowing one to decide whether to follow the trend or take contrarian positions.
You can choose which timeframes you want to display for the current period or for the last period closed.
In a few seconds, you perfectly see the selected timeframes trends.
When the oscillator (WT1 designed as a line) is above the overbought band (53 to 63) and crosses down the WT2 (signaled by a x), it is usually a good SELL signal.
Similarly, when the oscillator crosses above the WT2 (signal = triangle) when below the Oversold band ( (-53 to -63)), it is a good BUY signal.
You can also check the cross between differents WT1 (daily and weekly seems to be very effective).
An wt1 of a lower timeframe can also be blocked by an higher timeframe WT.
I've also add small items down the graph that correspond at specific situation :
🌟 WT1 from 1H to D are below WT1 Weekly and below -50
🤿 WT1 from 1H to D are above WT1 Weekly and above 50
🌋WT1 daily is going up and crossing WT1 weekly
🪂 WT1 daily is going down and crossing WT1 weekly
Let's see some example :
1 : See the effect of a cross down between W and M (yellow and red)
2 : A yellow triangle (wt1 weekly cross up wt2 weekly) in a nice zone
3 : See the effect of a cross up between W and M (yellow and red)
4 : See the effect of a cross down between W and M (yellow and red) in a nice zone
5 : A yellow triangle (wt1 weekly cross up wt2 weekly) in a nice zone
Etc...
AWR Optimized LR (Multiple)Attached you will find the indicator that calculates linear regression lines according to several configurable periods.
There are a total of eight configurable periods.
Each time, the indicator will calculate for each specified range the best linear regression line & channel (2 standard regressions) for that period and then plot it on the graph.
It will currently be configured by default between 0 and 5000 UT, which provides both a short-term and a very long-term view.
You can set a specific color for each linear regression channels.
As a reminder, the linear regression line is based on the least squares method, meaning: the more the price deviates from its regression line, the more statistically likely it is to return to its regression line. From two standard deviations or minus two standard deviations), it is generally statistically proven that we will trend towards the regression line over time.
Application of Regression Lines in Trading
Regression lines are widely used in trading and financial analysis to understand market trends and make informed predictions. Here are some key applications:
1. Trend Identification – Traders use regression lines to visualize the general direction of a stock or asset price, helping to confirm an upward or downward trend.
2. Price Predictions – Linear regression models assist in estimating future price movements based on historical data, allowing traders to anticipate changes.
3. Risk Assessment – By analyzing the slope and variation of a regression line, traders can gauge market volatility and potential risks.
4. Support and Resistance Levels – Regression channels help traders identify support and resistance zones, providing insight into optimal entry and exit points in a trend.
5. You can also use the short period linear regression channels vs the long period linear regression channels to identify important pivot points.
Buy Signal: Match TV Envelope & 52W LowThis indicator shows buy signals when price touches both the 52-week low and the 25% envelope band (EMA 200). Built for long term value entries.
2x 200MAThis indicator plots the 200-period Moving Average (SMA or EMA) and a line that represents 2x the value of the 200MA. You can switch between SMA and EMA from the settings panel.
Distance from 52-week LowYou will see a % line showing distance from 52 week low.
Colour changes:
Green if price is within 10% up from 52 week low
Orange if price is between 10% to 25% up from 52 week low
Red if price is more than 25% up from 52 week low.
BTC Fair Value via Global Liquidity📈 BTC Fair Value via Global Liquidity
This indicator estimates Bitcoin's fair value based on a regression model using Global Liquidity (GLI) data from major central banks.
🔍 How it works:
Fair Value Line (orange): Calculated using a power-law model: Fair Value = e^b * (GLI)^a, where a and b are user-defined parameters based on historical regression.
Global Liquidity (GLI): Combines liquidity metrics from central banks (Fed, ECB, PBoC, BoJ, etc.), including adjustments for the RRP and TGA.
Deviation Bands (green/red dashed): Optional upper and lower bands showing % deviation from fair value (default ±25%). These help identify overbought/oversold conditions.
Delta Plot (gray dots): Displays the % deviation of BTC’s price from its modeled fair value.
⚙️ How to use:
Tune a and b for better model fitting (e.g., via log-log regression).
Use the deviation bands to identify potential entry/exit zones or periods of market inefficiency.
Ideal for macro-level BTC valuation and long-term strategic analysis.
Multi Bollinger Bands (3, 4, 5 SD)Multi Bollinger Bands Ribbon.
You can see Bollinger Bands with SD 3, 4, 5 in the same ribbon eliminating the need to put separate BBs on the chart.
6 Moving Averages Difference TableIndicator Summary: 6 Moving Averages Difference Table (6MADIFF)
This TradingView indicator calculates and plots up to six distinct moving averages (MAs) directly on the price chart. Users have extensive control over each MA, allowing selection of:
Type: SMA, EMA, WMA, VWMA, HMA, RMA
Length: Any positive integer
Color: User-defined
Visibility: Can be toggled on/off
A core feature is the on-chart data table, designed to provide a quick overview of the relationships between the MAs and the price. This table displays:
$-MA Column: The absolute difference between the user-selected Input Source (e.g., Close, Open, HLC3) and the current value of each MA.
MA$ Column: The actual calculated price value of each MA for the current bar.
MA vs. MA Matrix: A grid showing the absolute difference between every possible pair of the calculated MAs (e.g., MA1 vs. MA2, MA1 vs. MA3, MA2 vs. MA5, etc.).
Customization Options:
Input Source: Select the price source (Open, High, Low, Close, HL2, HLC3, OHLC4) used for all MA calculations and the price difference column.
Table Settings: Control the table's visibility, position on the chart, text size, decimal precision for displayed values, and the text used for the column headers ("$-MA" and "MA$").
Purpose:
This indicator is useful for traders who utilize multiple moving averages in their analysis. The table provides an immediate, quantitative snapshot of:
How far the current price is from each MA.
The exact value of each MA.
The spread or convergence between different MAs.
This helps in quickly assessing trend strength, potential support/resistance levels based on MA clusters, and the relative positioning of short-term versus long-term averages.
BIZ: Multi Purpose Indicator V3Multi Purpose Indicator:
1. MTF Table for all Timeframes
2. Support Resistance Zones: Yesterday + Today
3. Trend colored background
4. 200 Ema + 50 Ema + 9 Ema
5. Doji + Hammer Candles Indentify
