WaveTrend Filtered Signals (LazyBear Style)WaveTrend Filtered Signals (LazyBear Style)
This indicator is based on the popular WaveTrend oscillator (LazyBear) and adds several optional filters to improve signal quality:
✅ Available filters:
WT oversold/overbought zones – enabled by default. Signals are shown only if WT was previously in the specified zone (e.g., < -60 for longs, > 60 for shorts).
SMA trend filter – allows filtering signals in the direction of the moving average trend.
SMA position filter – signals appear only when price is above (for long) or below (for short) the moving average.
Consolidation filter – ignores signals during low-volatility sideways price movement.
💡 All filters are optional and can be enabled or disabled in the settings.
The default setup focuses on a clean approach: WaveTrend + oversold/overbought zones, with other filters left for customization.
M-oscillator
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".
Этот скрипт мы публикуем заново, он вошел в обзор лучших 3-х скриптов для фильтрации ложных сигналов.
WaveTrend [LazyBear] with Long/Short LabelsWaveTrend Oscillator with Entry Signals (LONG/SHORT) – Advanced Edition
This indicator is based on the renowned WaveTrend Oscillator by LazyBear, a favorite among professional traders for spotting trend reversals with precision.
🚀 Features:
Original WaveTrend formula with dual-line structure (WT1 & WT2).
Customizable overbought and oversold zones for visual clarity.
Automatic LONG and SHORT signals plotted directly on the chart:
✅ LONG: When WT1 crosses above WT2 below the oversold zone.
❌ SHORT: When WT1 crosses below WT2 above the overbought zone.
Momentum histogram shows strength of market moves.
Fully optimized for Pine Script v5 and lightweight across all timeframes.
🔍 How to use:
Combine with support/resistance levels or candlestick reversal patterns.
Works best on 15min, 1H, or 4H charts.
Suitable for all markets: crypto, stocks, forex, indices.
📊 Ideal for:
Traders seeking clean, reliable entry signals.
Reversal strategies with technical confluence.
Visual confirmation of WaveTrend crossovers without manual interpretation.
💡 Pro Tip: Combine with EMA or RSI filters to further enhance accuracy.
[blackcat] L1 Multi-Component CCIOVERVIEW
The " L1 Multi-Component CCI" is a sophisticated technical indicator designed to analyze market trends and momentum using multiple components of the Commodity Channel Index (CCI). This script calculates and combines various CCI-related metrics to provide a comprehensive view of price action, offering traders deeper insights into market dynamics. By integrating smoothed deviations, normalized ranges, and standard CCI values, this tool aims to enhance decision-making processes. It is particularly useful for identifying potential reversal points and confirming trend strength. 📈
FEATURES
Multi-Component CCI Calculation: Combines smoothed deviation, normalized range, percent above low, and standard CCI for a holistic analysis, providing a multifaceted view of market conditions.
Threshold Lines: Overbought (200), oversold (-200), bullish (100), and bearish (-100) thresholds are plotted for easy reference, helping traders quickly identify extreme market conditions.
Visual Indicators: Each component is plotted with distinct colors and line styles for clear differentiation, making it easier to interpret the data at a glance.
Customizable Alerts: The script includes commented-out buy and sell signal logic that can be enabled for automated trading notifications, allowing traders to set up alerts based on specific conditions. 🚀
Advanced Calculations: Utilizes a combination of simple moving averages (SMA) and exponential moving averages (EMA) to smooth out price data, enhancing the reliability of the indicator.
HOW TO USE
Apply the Script: Add the script to your chart on TradingView by searching for " L1 Multi-Component CCI" in the indicators section.
Observe the Plotted Lines: Pay close attention to the smoothed deviation, normalized range, percent above low, and standard CCI lines to identify potential overbought or oversold conditions.
Use Threshold Levels: Refer to the overbought, oversold, bullish, and bearish threshold lines to gauge extreme market conditions and potential reversal points.
Confirm Trends: Use the standard CCI line to confirm trend direction and momentum shifts, providing additional confirmation for your trading decisions.
Enable Alerts: If desired, uncomment the buy and sell signal logic to receive automated alerts when specific conditions are met, helping you stay informed even when not actively monitoring the chart. ⚠️
LIMITATIONS
Fixed Threshold Levels: The script uses fixed threshold levels (200, -200, 100, -100), which may need adjustment based on specific market conditions or asset volatility.
No Default Signals: The buy and sell signal logic is currently commented out, requiring manual activation if you wish to use automated alerts.
Complexity: The multi-component approach, while powerful, may be complex for novice traders to interpret, requiring a solid understanding of technical analysis concepts. 📉
Not for Isolation Use: This indicator is not designed for use in isolation; it is recommended to combine it with other tools and indicators for confirmation and a more robust analysis.
NOTES
Smoothing Techniques: The script uses a combination of simple moving averages (SMA) and exponential moving averages (EMA) for smoothing calculations, which helps in reducing noise and enhancing signal clarity.
Multi-Component Approach: The multi-component approach aims to provide a more nuanced view of market conditions compared to traditional CCI, offering a more comprehensive analysis.
Customization Potential: Traders can customize the script further by adjusting the parameters of the moving averages and other components to better suit their trading style and preferences. ✨
THANKS
Thanks to the TradingView community for their support and feedback on this script! Special thanks to those who contributed ideas and improvements, making this tool more robust and user-friendly. 🙏
EMA Trend Strength MeterThis indicator will leverage the EMA as basis to indentify value of Strength of trend
BS with PeriodThe “BS with Period” indicator visualizes the balance between buying and selling volume within each candle, and also tracks those volumes accumulated over a specified number of bars.
It first splits a candle’s total volume into two parts based on where the close sits: the closer the close is to the high, the larger the “buying” portion; the closer it is to the low, the larger the “selling” portion. This means that for any given volume you can see whether buyers or sellers were more active.
On the chart you see three column plots:
Gray for total volume
Red for the portion attributed to selling
Teal for the portion attributed to buying
Optionally, it also sums those buying and selling volumes over the last N bars and plots them as two lines. This gives you a medium-term view of which side is dominating: if the buying-volume line stays well above the selling-volume line, buyers are in control, and vice versa.
Traders use it to:
Spot sustained buying or selling pressure when one accumulated-volume line pulls ahead of the other.
Confirm trend accelerations or potential reversals when the balance shifts.
Adjust sensitivity by choosing a shorter period (more responsive, but noisier) or a longer period (smoother, but slower).
Overall, the indicator helps quantify the internal volume structure and the tug-of-war between buyers and sellers both within each candle and over your chosen look-back period.
Scalping EMA + RSI Strategy (Long & Short)Scalping EMA with RSI Strategy.
Entry Criteria: Indicators, price action, or patterns triggering entries.
Stop Loss (SL): Fixed pips, ATR-based, or swing low/high.
Take Profit (TP): Fixed reward, trailing stop, or dynamic levels.
RRR Target: e.g., 1:1.5 or 1:2.
Regression Slope ShiftNormalized Regression Slope Shift + Dynamic Histogram
This indicator detects subtle shifts in price momentum using a rolling linear regression approach. It calculates the slope of a linear regression line for each bar over a specified lookback period, then measures how that slope changes from bar to bar.
Both the slope and its change (delta) are normalized to a -1 to 1 scale for consistent visual interpretation across assets and timeframes. A signal line (EMA) is applied to the slope delta to help identify turning points and crossovers.
Key features:
- Normalized slope and slope change lines
- Dynamic histogram of slope delta with transparency based on magnitude
- Customizable colors for all visual elements
- Signal line for crossover-based momentum shifts
This tool helps traders anticipate trend acceleration or weakening before traditional momentum indicators react, making it useful for early trend detection, divergence spotting, and confirmation signals.
Dual Timeframe DMI + StochRSI StrategyThis strategy works on the principle that there's a higher probability of accuracy if the LTF follows the HTF trend.
The HTF DMI plus Stochastic RSI cross will trigger a reaction on the LTF.
There's a quick 2:1 scalp on the 2m timeframe.
DMI + StochRSI Trend SignalThis indicator combines the DMI and Stochastic indicators into one. If DI+ crosses over the DI- at the same time when the Stochastic RSI K is above the Stochastic RSI D, you will get a background color tint. It's probably a good time to go long.
Vice Versa for short.
Distance % from SMATunable indicator which tells you how far away the price is from a moving average.
StoRsi# StoRSI Indicator: Combining RSI and Stochastic with multiTF
## Overview
The StoRSI indicator combines Relative Strength Index (RSI) and Stochastic oscillators in a single view to provide powerful momentum and trend analysis. By displaying both indicators together with multi-timeframe analysis, it helps traders identify stronger signals when both indicators align.
## Key Components
### 1. RSI (Relative Strength Index)
### 2. Stochastic Oscillator
### 3. EMA (Exponential Moving Average)
### 4. Multi-Timeframe Analysis
## Visual Features
- **Color-coded zones**: Highlights overbought/oversold areas
- **Signal backgrounds**: Shows when both indicators align
- **Multi-timeframe table**: Displays RSI, Stochastic, and trend across timeframes
- **Customizable colors**: Allows full visual customization
## Signal Generation (some need to uncomment in code)
The indicator generates several types of signals:
1. **RSI crosses**: When RSI crosses above/below overbought/oversold levels
2. **Stochastic crosses**: When Stochastic %K crosses above/below overbought/oversold levels
3. **Combined signals**: When both indicators show the same condition
4. **Trend alignment**: When multiple timeframes show the same trend direction
## Conclusion
The StoRSI indicator provides a comprehensive view of market momentum by combining two powerful oscillators with multi-timeframe analysis. By looking for alignment between RSI and Stochastic across different timeframes, traders can identify stronger signals and filter out potential false moves. The visual design makes it easy to spot opportunities at a glance, while the customizable parameters allow adaptation to different markets and trading styles.
For best results, use this indicator as part of a complete trading system that includes proper risk management, trend analysis, and confirmation from price action patterns.
Cash Market Volatility StrategyBCM - Baycam
Brakout signals based on voltality parameters -
Closing price
ATR - Average true range
RSI
Indicateur de tradingKDJ Alert
Strategy Advice
1- Cautious
Frame the alert candle
Buy = yellow
Sell = blue
Follow the market trend and go
Set a 20-day moving average.
Be careful, the alert sometimes occurs quite high above the moving average
Wait for it to return to the moving average before opening.
2- Risky
Follow the alert candle immediately
Set a fairly large SL, however, if you want to implement this risky method
MACD AaronVersionAutomatically changes color to help you better assess trend strength, suitable for use with breakout or range trading strategies.
Fast Line (MACD):
🔸 Higher than yesterday → Yellow
🔹 Lower than yesterday → Gray
Slow Line (Signal Line):
🟢 After a Golden Cross occurs → stays Green until a Death Cross
🔴 After a Death Cross occurs → stays Red until the next Golden Cross
IFVG WITH SignalsTitle: Inverted Fair Value Gaps with Alerts – Smart Liquidity Zones
Description:
This script identifies Inverted Fair Value Gaps (IFVGs) – a concept derived from liquidity theory and price inefficiencies, often associated with smart money trading strategies. Unlike traditional FVGs, inverted gaps point to potential liquidity traps or reversal zones, where price may revisit to rebalance or hunt stops.
Key Features:
Automatic detection of Inverted Fair Value Gaps
Visual zones plotted on chart for easy reference
Customizable alerts when a new IFVG is created or price re-enters one
Works on any timeframe or asset
DS_StochA custom stochastic-based indicator with EMA smoothing. Useful for identifying overbought and oversold conditions.
Kinetic Price Momentum Oscillator📈 Kinetic Price Momentum Oscillator (Sri-PMO)
Author's Note:
This script is an educational and custom-adapted visualization based on the concept of the Price Momentum Oscillator (PMO). It is not a direct clone of any proprietary implementation, and it introduces enhancements such as timeframe sensitivity, customizable smoothings, multi-timeframe analysis, and visual trend meters.
🔍 Overview:
The Kinetic Price Momentum Oscillator (Kinetic-PMO) is a dynamic momentum indicator that analyzes price rate of change smoothed with dual exponential moving averages. It offers a clear view of momentum trends across multiple timeframes—the chart's current timeframe, the 1-hour timeframe, and the 1-day timeframe. It includes optional visual cues for zero-line crossovers, trend ribbon fills, and a daily trend meter.
🧮 Calculation Logic:
At its core, Kinetic-PMO calculates momentum by:
Measuring Rate of Change (ROC) over 1 bar.
Applying double EMA smoothing:
The first smoothing (len1) smooths the ROC.
The second smoothing (len2) smooths the result further.
This produces the main KPMO Line.
A third EMA (sigLen) is applied to the KPMO line to produce the Signal Line.
The formula includes a multiplier of 10 to scale values.
pinescript
Copy
Edit
roc = ta.roc(source, 1)
kmo = ta.ema(10 * ta.ema(roc, len1), len2)
signal = ta.ema(kmo, sigLen)
To allow responsiveness across timeframes, the script provides sensitivity inputs (sensA, sensB, sensC) which dynamically scale the smoothing lengths for different contexts:
Intraday (current chart timeframe)
Hourly (1H)
Daily (1D)
🧭 Features:
✅ Multi-Timeframe Calculation:
Intraday: Based on current chart resolution
1H: PMO for the hourly trend
1D: Daily trend meter using KPMO structure
✅ Trend Identification:
Green if PMO is above Signal Line (bullish)
Red if PMO is below Signal Line (bearish)
Daily Trend Meter includes nuanced color mapping:
Lime = Bullish above zero
Orange = Bullish below zero
Red = Bearish below zero
Yellow = Bearish above zero
✅ Custom Visual Enhancements:
Optional filled ribbons between KPMO and Signal
Optional zero-line crossover background highlight
Compact daily trend meter displayed as a color-coded shape
🛠 Customization Parameters:
Input Description
Primary Smoothing Controls ROC smoothing depth (1st EMA)
Secondary Smoothing Controls final smoothing (2nd EMA)
Signal Smoothing Controls EMA of the PMO line
Input Source Default is close, but any price type can be selected
Sensitivity Factors Separate multipliers for intraday, 1H, and 1D
Visual Settings Toggle zero-line highlight and ribbon fill
🧠 Intended Use:
The Kinetic-PMO is suitable for trend confirmation, momentum divergence detection, and entry/exit refinement. The multi-timeframe aspect helps align short-term and long-term momentum trends, supporting better trade decision-making.
⚖️ Legal & Attribution Statement:
This script was independently created and modified for educational and analytical purposes. While the concept of the PMO is inspired by technical analysis literature, this implementation does not copy or reverse-engineer any proprietary code. It introduces custom parameters, visualization enhancements, and multi-timeframe logic. Posting this script complies with TradingView’s policy on derivative work and educational indicators.
Trend Volatility Index (TVI)Trend Volatility Index (TVI)
A robust nonparametric oscillator for structural trend volatility detection
⸻
What is this?
TVI is a volatility oscillator designed to measure the strength and emergence of price trends using nonparametric statistics.
It calculates a U-statistic based on the Gini mean difference across multiple simple moving averages.
This allows for objective, robust, and unbiased quantification of trend volatility in tick-scale values.
⸻
What can it do?
• Quantify trend strength as a continuous value aligned with tick price scale
• Detect trend breakouts and volatility expansions
• Identify range-bound market states
• Detect early signs of new trends with minimal lag
⸻
What can’t it do?
• Predict future price levels
• Predict trend direction before confirmation
⸻
How it works
TVI computes a nonparametric dispersion metric (Gini mean difference) from multiple SMAs of different lengths.
As this metric shares the same dimension as price ticks, it can be directly interpreted on the chart as a volatility gauge.
The output is plotted using candlestick-style charts to enhance visibility of change rate and trend behavior.
⸻
Disclaimer
TVI does not predict price. It is a structural indicator designed to support discretionary judgment.
Trading carries inherent risk, and this tool does not guarantee profitability. Use at your own discretion.
⸻
Innovation
This indicator introduces a novel approach to trend volatility by applying U-statistics over time series
to produce a nonparametric, unbiased, and robust estimate of structural volatility.
日本語要約
Trend Volatility Index (TVI) は、ノンパラメトリックなU統計量（Gini平均差）を使ってトレンドの強度を客観的に測定することを目的に開発されたボラティリティ・オシレーターです。
ティック単位で連続的に変化し、トレンドのブレイク・レンジ・初動の予兆を定量的に検出します。
未来の価格や方向は予測せず、現在の構造的ばらつきだけをロバストに評価します。
Stochastic RainbowThe Stochastic Rainbow indicator is a multi-layered momentum oscillator designed to provide a comprehensive view of market dynamics by combining multiple stochastic oscillators of varying periods. This approach allows traders to analyze both short-term and long-term momentum within a single visual framework, enhancing decision-making for entries and exits.
🔧 Indicator Settings and Customization
Select from various moving average methods (e.g., SMA, EMA, DEMA, TEMA, WMA, VWMA, RMA, T3) to smooth the stochastic lines. Different methods can affect the responsiveness of the indicator.
The indicator computes five sets of stochastic oscillators with Fibonacci values.
Each %K line is smoothed using the selected moving average type, and a corresponding %D line is plotted for each %K.
🎨 Visual Interpretation
The Stochastic Rainbow indicator plots multiple %K and %D lines, each with distinct colors for easy differentiation.
Additionally, horizontal dotted lines are drawn at levels 80 (Upper Band), 50 (Midline), and 20 (Lower Band) to indicate overbought, neutral, and oversold conditions, respectively.
📈 Trading Strategies Using Stochastic Rainbow
The multi-layered structure of the Stochastic Rainbow allows for nuanced analysis.
Trend Confirmation:
When all %K lines are above 50 and aligned in ascending order (short-term above long-term), it suggests a strong uptrend.
Conversely, when all %K lines are below 50 and aligned in descending order, it indicates a strong downtrend.
Overbought/Oversold Conditions:
If the shorter-term %K lines (e.g., %K 5,3 and %K 8,3) enter the overbought zone (>80) while longer-term lines remain below, it may signal a potential reversal.
Similarly, if shorter-term lines enter the oversold zone (<20) while longer-term lines remain above, it could indicate an upcoming bullish reversal.
Crossovers:
A bullish signal occurs when a %K line crosses above its corresponding %D line.
A bearish signal occurs when a %K line crosses below its corresponding %D line.
Divergence Analysis:
If price makes a new high while the %K lines do not, it may indicate bearish divergence and a potential reversal.
If price makes a new low while the %K lines do not, it may indicate bullish divergence and a potential reversal.
⚙️ Adjusting Settings for Optimal Use
The Stochastic Rainbow's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior:
Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements.
Long-Term Trading: Opt for longer periods (e.g., 55 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends.
Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets.
By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
Volume Flow OscillatorVolume Flow Oscillator
Overview
The Volume Flow Oscillator is an advanced technical analysis tool that measures buying and selling pressure by combining price direction with volume. Unlike traditional volume indicators, this oscillator reveals the force behind price movements, helping traders identify strong trends, potential reversals, and divergences between price and volume.
Reading the Indicator
The oscillator displays seven colored bands that fluctuate around a zero line:
Three bands above zero (yellow) indicate increasing levels of buying pressure
Three bands below zero (red) indicate increasing levels of selling pressure
The central band represents the baseline volume flow
Color intensity changes based on whether values are positive or negative
Trading Signals
The Volume Flow Oscillator provides several valuable trading signals:
Zero-line crossovers: When multiple bands cross from negative to positive, potential bullish shift; opposite for bearish
Divergences: When price makes new highs/lows but oscillator bands fail to confirm, signals potential reversal
Volume climax: Extreme readings where outer bands stretch far from zero often precede reversals
Trend confirmation: Strong expansion of bands in direction of price movement confirms genuine momentum
Support/resistance: During trends, bands may remain largely on one side of zero, showing continued directional pressure
Customization
Adjust these key parameters to optimize the oscillator for your trading style:
Lookback Length: Controls overall sensitivity (shorter = more responsive, longer = smoother)
Multipliers: Adjust sensitivity spread between bands for different market conditions
ALMA Settings: Fine-tune how the indicator weights recent versus historical data
VWMA Toggle: Enable for additional smoothing in volatile markets
Best Practices
For optimal results, use this oscillator in conjunction with price action and other confirmation indicators. The multi-band approach helps distinguish between minor fluctuations and significant volume events that might signal important market turns.
Macd, Wt Cross & HVPMacd Wt Cross & HVP – Advanced Multi-Signal Indicator
This script is a custom-designed multi-signal indicator that brings together three proven concepts to provide a complete view of market momentum, reversals, and volatility build-ups. It is built for traders who want to anticipate key market moves, not just react to them.
Why This Combination ?
While each tool has its strengths, their combined use creates powerful signal confluence.
Instead of juggling multiple indicators separately, this script synchronizes three key perspectives into a single, intuitive display—helping you trade with greater clarity and confidence.
1. MACD Histogram – Momentum and Trend Clarity
At the core of the indicator is the MACD histogram, calculated as the difference between two exponential moving averages (EMAs).
Color-coded bars represent momentum direction and intensity:
Green / blue bars: bullish momentum
Red / pink bars: bearish momentum
Color intensity shows acceleration or weakening of trend.
This visual makes it easy to detect trend shifts and momentum divergence at a glance.
2. WT Cross Signals – Early Reversal Detection
Overlaid on the histogram are green and red dots, based on the logic of the WaveTrend oscillator cross:
Green dots = potential bullish cross (buy signal)
Red dots = potential bearish cross (sell signal)
These signals are helpful for identifying reversal points during both trending and ranging phases.
3. Historical Volatility Percentile (HVP) – Volatility Compression Zones
Behind the histogram, purple vertical zones highlight periods of low historical volatility, based on the HVP:
When volatility compresses below a specific threshold, these zones appear.
Such periods are often followed by explosive price moves, making them prime areas for pre-breakout positioning.
By integrating HVP, the script doesn’t just tell you where the trend is—it tells you when the trend is likely to erupt.
How to Use This Script
Use the MACD histogram to confirm the dominant trend and its strength.
Watch for WT Cross dots as potential entry/exit signals in alignment or divergence with the MACD.
Monitor HVP purple zones as warnings of incoming volatility expansions—ideal moments to prepare for breakout trades.
Best results occur when all three elements align, offering a high-probability trade setup.
What Makes This Script Original?
Unlike many mashups, this script was not created by simply merging indicators. Each component was carefully integrated to serve a specific, complementary purpose:
MACD detects directional bias
WT Cross adds precision timing
HVP anticipates volatility-based breakout timing
This results in a strategic tool for traders, useful on multiple timeframes and adaptable to different trading styles (trend-following, breakout, swing).
Stochastic XThe "Stochastic X" script is a customizable momentum oscillator designed to help traders identify potential overbought and oversold conditions, as well as trend reversals, by analyzing the relationship between a security's closing price and its price range over a specified period. This indicator is particularly useful for traders looking to fine-tune their entry and exit points based on momentum shifts.
🔧 Indicator Settings and Customization
The script offers several user-configurable settings to tailor the indicator to specific trading strategies:
In addition to the source type, %K Period, %D Period, and Signal line periods you can now change moving average calculation for the stochastic and signal lines.
This script allows selection among various moving average methods (e.g., SMA, EMA, WMA, T3) for smoothing the %K and signal lines. Different methods can affect the responsiveness of the indicator.
🎨 Interpreting Background Colors
The script enhances visual analysis by changing the background color of the indicator panel based on the %K line's value:
Green Background: Indicates that the %K line is above 50, suggesting bullish momentum.
Red Background: Signifies that the %K line is below 50, pointing to bearish momentum.
Light Green Overlay: Appears when the %K line exceeds 80, highlighting overbought conditions.
Light Red Overlay: Shows up when the %K line falls below 20, indicating oversold conditions.
These visual cues assist traders in quickly assessing market momentum and potential reversal.
📈 Trading Strategies Using Stochastic X
Traders can utilize the Stochastic X indicator in various ways:
Overbought/Oversold Conditions:
A %K value above 80 may suggest that the asset is overbought, potentially signaling a price correction.
A %K value below 20 could indicate that the asset is oversold, possibly leading to a price rebound.
Signal Line Crossovers:
When the %K line crosses above the signal line, it may be interpreted as a bullish signal.
Conversely, a %K line crossing below the signal line might be seen as a bearish signal.
Divergence Analysis:
If the price makes a new high while the %K line does not, this bearish divergence could precede a price decline.
If the price hits a new low but the %K line forms a higher low, this bullish divergence might signal an upcoming price increase.
Trend Confirmation:
Sustained %K values above 50 can confirm an uptrend.
Persistent %K values below 50 may validate a downtrend.
In this chart, observe how the background colors change in response to the %K line's value, providing immediate visual feedback on market conditions. The crossovers between the %K and signal lines offer potential entry and exit points, while the overbought and oversold overlays help identify possible reversal zones.
⚙️ Adjusting Settings for Optimal Use
The Stochastic X indicator's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior:
Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements.
Long-Term Trading: Opt for longer periods (e.g., 14 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends.
Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets.
By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here.
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines.
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
