MFI Nexus Pro [trade_lexx]📈 MFI Nexus Pro is your reliable trading assistant!
📊 What is MFI Nexus Pro ?
MFI Nexus Pro is a trading indicator that analyzes cash flows in the market. It shows where money is moving — into or out of an asset, and based on this, generates buy or sell signals.
💡 The main components of the indicator
📊 The MFI Cash Flow Index (MFI)
shows the strength of cash flow into an asset. Values above 70 indicate overbought (an early sale is possible), and values below 30 indicate oversold (an early purchase is possible).
📈 Moving Averages (MA)
The indicator uses 10 different types of moving averages to smooth the MFI line.:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
And other more complex types (HMA, KAMA, VWMA, ALMA, TEMA, ZLEMA, DEMA)
The choice of the type of moving average affects the speed of the indicator's response to market changes.
🎯 Bollinger Bands (BB)
Bands around the moving average that widen and narrow depending on volatility. They help determine when the MFI is out of the normal range.
🔄 Divergences
Divergences show discrepancies between price and MFI:
- Bullish divergence: the price is falling and the MFI is rising — an upward reversal is possible
- Bearish divergence: the price is rising and the MFI is falling — a downward reversal is possible
🔍 Indicator signals
1️⃣ Moving average signals (MA)
Buy signal
- What happens: MFI crosses its moving average from bottom to top
- What does it look like: the green triangle labeled "MA" under the chart
- What does it mean: money begins to actively flow into the asset, price growth is possible
Sell signal
- What happens: the MFI crosses the moving average from top to bottom
- What does it look like: a red triangle with the label "MA" above the chart
- What does it mean: money starts to leave the asset, the price may fall
2️⃣ Bollinger Band Signals (BB)
Buy signal
- What's happening: The MFI crosses the lower Bollinger band from bottom to top
- What it looks like: the green triangle marked "BB"
- What it means: The MFI was too low and is now starting to recover
Sell Signal
- What's going on: MFI crosses the upper Bollinger band from top to bottom
- What it looks like: a red triangle marked "BB"
- What it means: The MFI was too high and is now starting to decline
3️⃣ Divergence Signals (Div)
Buy Signal (Bullish Divergence)
- What's going on: the price is falling more than the MFI
- What it looks like: a green triangle marked "Div"
- What it means: despite the fall in price, money is already starting to return to the asset
Sell signal (bearish divergence)
- What is happening: the price is rising more strongly than the MFI
- What does it look like: the red triangle with the label "Div"
- What does it mean: despite the price increase, money is already starting to leave the asset
🛠️ Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals
- Why it is needed: prevents signals from being too frequent during strong market fluctuations
- How to set it up: Set the number from 0 and above (default: 5)
2️⃣ "Waiting for the opposite signal" mode
- What it does: waits for a signal in the opposite direction before generating a new signal
- Why you need it: it helps you not to miss important trend reversals
- How to set up: just turn the function on or off
3️⃣ Filter by MFI levels
- What it does: generates signals only when the MFI is in the specified ranges
- Why it is needed: it helps to catch the moments when the market is oversold or overbought
- How to set up:
- For buy signals: set a range for oversold (e.g. 1-30)
- For sell signals: set a range for overbought (e.g. 70-100)
4️⃣ The RSI filter
- What it does: additionally checks the RSI values to confirm the signals
- Why it is needed: adds additional confirmation from another popular indicator
- How to set up: Similar to the MFI filter, set ranges for buying and selling
🔄 Signal combination modes
1️⃣ Normal mode ("None")
- How it works: all signals (MA, BB, Div) work independently of each other
- When to use it: for general market analysis or when learning how to work with the indicator
2️⃣ "And" mode ("MA and BB and Div")
- How it works: the alarm appears only when several conditions are triggered simultaneously
- Combination options:
- MA+BB: signals from the moving average and Bollinger bands
- MA+Div: signals from the moving average and divergence
- BB+Div: signals from the Bollinger bands and divergence
- MA+BB+Div: all three signals simultaneously
- When to use: for more reliable but rare signals
3️⃣ "OR" mode ("MA or BB or Div")
- How it works: the alarm appears when any of the conditions are triggered
- When to use: for frequent signals when you don't want to miss any opportunity.
🔌 Connecting to trading strategies
The indicator can be connected to your trading strategies using 5 different channels.:
1. Channel for MA signals: connects only signals from moving averages
2. BB signal channel: connects only the signals from the Bollinger bands
3. Channel for divergence signals: connects only divergence signals
4. Channel for "And" mode: connects only combined signals
5. Channel for "OR" mode: connects signals from any source
🔔 Setting up alerts
The indicator can send alerts when alarms appear.:
- Alerts for MA: when the MFI crosses the moving average
- Alerts for BB: when the MFI crosses the Bollinger bands
- Divergence alerts: when a divergence is detected
- Combined alerts: for "AND" and "OR" modes
🎭 What does the indicator look like on the chart ?
- MFI main line: purple line
- Overbought/oversold levels: horizontal lines at levels 30 and 70
- Middle line: dotted line at level 50
- MFI Moving Average: yellow line
- Bollinger bands: green lines around the moving average
- Signals: green and red triangles with corresponding labels
📚 How to start using MFI Nexus Pro
1️⃣ Initial setup
- Add an indicator to your chart
- Select the type of moving average and the period (you can leave it as the default)
- Activate the desired signal types (MA, BB, Div)
2️⃣ Filter settings
- Set the distance between the signals to get rid of unnecessary noise
- Adjust the MFI and RSI levels depending on how volatile your asset is
- If you need more reliable signals, turn on the "Waiting for the opposite signal" mode.
3️⃣ Operation mode selection
- First, use the standard mode to see all possible signals.
- When you get comfortable, try the "And" mode for more reliable signals.
- For active trading, you can use the "OR" mode
4️⃣ Setting up Alerts
- Select the types of signals you want to be notified about
- Set up alerts for "AND" or "OR" modes if you use them
5️⃣ Verification and adaptation
- Check the operation of the indicator on historical data
- Adjust the parameters for a specific asset
- Adapt the settings to your trading style
🌟 Usage examples
For trend trading
- Use MA signals in the direction of the main trend
- Turn on the "Waiting for the opposite signal" mode
- Set stricter levels for filters
For trading in a sideways range
- Use BB signals to detect bounces from the range boundaries
- Use the MFI level filter to confirm overbought/oversold conditions
- Adjust the Bollinger bands according to the width of the range
To determine the pivot points
- Pay attention to the divergence signals
- Use the "And" mode by combining divergences with other signals
- Check the RSI filter for additional confirmation
ابحث في النصوص البرمجية عن "top"
Custom TABI Model with LayersCustom Top and Bottom Indicator (TABI) (Is a Trend Adaptive Blow-Off Indicator) -
User Guide & Description
Introduction
The TABI (Trend Adaptive Blow-Off Indicator) is a refined, multi-layered RSI tool designed to enhance trend analysis, detect momentum shifts, and highlight overbought/oversold conditions with a more nuanced, color-coded approach. This indicator is useful for traders seeking to identify key reversal points, confirm trend strength, and filter trade setups more effectively than traditional RSI.
By incorporating volume-based confirmation and divergence detection, TABI aims to reduce false signals and improve trade timing.
How It Works
TABI builds on the Relative Strength Index (RSI) by introducing:
A smoothed RSI calculation for better trend readability.
11 color-coded RSI levels, allowing traders to visually distinguish weak, neutral, and extreme conditions.
Volume-based confirmation to detect high-conviction moves.
Bearish & Bullish Divergence Detection, inspired by Market Cipher methods, to spot potential reversals early.
Overbought & Oversold alerts, with optional candlestick color changes to highlight trade signals.
Key Features
✅ Color-Coded RSI for Better Readability
The RSI is divided into multi-layered color zones:
🔵 Light Blue: Extremely oversold
🟢 Lime Green: Mild oversold, potential trend reversal
🟡 Yellow & Orange: Neutral, momentum consolidation
🟠 Dark Orange: Caution, overbought conditions developing
🔴 Red: Extreme overbought, possible exhaustion
✅ Divergence Detection
Bearish Divergence: Price makes higher highs, RSI makes lower highs → Potential top signal
Bullish Divergence: Price makes lower lows, RSI makes higher lows → Potential bottom signal
✅ Volume Confirmation Filter
Requires a 50% above-average volume spike for strong buy/sell signals, reducing false breakouts.
✅ Dynamic Labels & Alerts
🚨 Blow-Off Top Warning: If RSI is overbought + volume spikes + divergence detected
🟢 Oversold Bottom Alert: If RSI is oversold + bullish divergence
Candlestick color changes when extreme conditions are met.
How to Use
📌 Entry & Exit Signals
Buy Consideration:
RSI enters Green Zone (oversold)
Bullish divergence detected
Volume confirms the move
Sell Consideration:
RSI enters Red Zone (overbought)
Bearish divergence detected
Volume confirms exhaustion
📌 Trend Confirmation
Use the yellow/orange levels to confirm strong trends before entering counter-trend trades.
📌 Filtering Trade Noise
The RSI smoothing helps reduce false whipsaws, making it easier to read true momentum shifts.
Customization Options
🔧 User-Defined RSI Thresholds
Adjust the overbought/oversold levels to match your trading style.
🔧 Divergence Sensitivity
Modify the lookback period to fine-tune divergence detection accuracy.
🔧 Volume Thresholds
Set custom volume multipliers to control confirmation requirements.
Why This is Unique
🔹 Unlike traditional RSI, TABI visually maps RSI zones into layered gradients, making it easy to spot momentum shifts.
🔹 The multi-layered color scheme adds an intuitive, heatmap-like effect to RSI, helping traders quickly gauge conditions.
🔹 Incorporates CCF-inspired divergence detection and volume filtering, making signals more robust.
🔹 Dynamic labeling system ensures clarity without cluttering the chart.
Alerts & Notifications
🔔 TradingView Alerts Included
🚨 Blow-Off Top Detected → RSI overbought + volume spike + bearish divergence.
🟢 Oversold Bottom Detected → RSI oversold + bullish divergence.
Set alerts to receive notifications without watching the charts 24/7.
Final Thoughts
TABI is designed to simplify RSI analysis, provide better trade signals, and improve decision-making. Whether you're day trading, swing trading, or long-term investing, this tool helps you navigate market conditions with confidence.
🔥 Use it to detect high-probability reversals, confirm trends, and improve trade entries/exits! 🚀
Bitcoin Total VolumeThis Pine Script indicator, titled "Bitcoin Top 16 Volume," is designed to provide traders with an aggregate view of Bitcoin (BTC) spot trading volume across leading cryptocurrency exchanges. Unlike traditional volume indicators that focus on a single exchange, this tool compiles data from a selection of the top exchanges as ranked by CoinMarketCap, offering a broader perspective on overall market activity.
The indicator works by fetching real-time volume data for specific BTC trading pairs on various exchanges. It currently incorporates data from prominent platforms such as Binance (BTCUSDT), Coinbase (BTCUSD), OKX (BTCUSDT), Bybit (BTCUSDT), Kraken (BTCUSD), Bitfinex (BTCUSD), Bitstamp (BTCUSD), Gemini (BTCUSD), Upbit (BTCKRW), Bithumb (BTCKRW), KuCoin (BTCUSDT), Gate.io (BTCUSDT), MEXC (BTCUSDT), Crypto.com (BTCUSD), Poloniex (BTCUSDT), and BitMart (BTCUSDT). It's important to note that while the indicator aims to represent the "Top 16" exchanges, the actual number included may vary due to data availability within TradingView and the dynamic nature of exchange rankings.
The script then calculates the total volume by summing up the volume data retrieved from each of these exchanges. This aggregated volume is visually represented as a histogram directly on your TradingView chart, displayed in white by default. By observing the height of the histogram bars, traders can quickly assess the total trading volume for Bitcoin spot markets over different time periods, corresponding to the chart's timeframe.
This indicator is valuable for traders seeking to understand the overall market depth and liquidity of Bitcoin. Increased total volume can often signal heightened market interest and potential trend strength or reversals. Conversely, low volume might suggest consolidation or reduced market participation. Traders can use this indicator to confirm trends, identify potential breakouts, and gauge the general level of activity in the Bitcoin spot market across major exchanges. Keep in mind that the list of exchanges included may need periodic updates to accurately reflect the top exchanges as rankings on CoinMarketCap evolve.
Half-Trend Channel [BigBeluga]Half Trend Channel is a powerful trend-following indicator designed to identify trend direction, fakeouts, and potential reversal points. The combination of upper/lower bands, midline coloring, and specific signals makes it ideal for spotting trend continuation and market reversals.
The base of the channel is calculated using smoothed half-trend logic.
// Initialize half trend on the first bar
if barstate.isfirst
hl_t := close
// Update half trend value based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
// Smooth
float s_hlt = ta.hma(hl_t, len)
🔵 Key Features:
Upper and Lower Bands:
The bands adapt dynamically to market volatility.
Price movements toward the bands help identify areas of overextension and potential reversal points.
Midline Trend Signal:
The midline changes color to reflect the current trend:
Green Midline: Indicates an uptrend.
Purple Midline: Signals a downtrend.
Fakeout Signals ("X"):
"X" markers appear when price briefly breaches the outer bands but fails to sustain the move.
Fakeouts help traders identify areas where price momentum weakens.
Reversal Signals (Triangles):
Triangles (▲ and ▼) mark potential tops and bottoms:
▲ Up Triangles: Suggest a potential bottom and a reversal to the upside.
▼ Down Triangles: Indicate a potential top and a reversal to the downside.
Dynamic Trend Labels:
At the last bar, the indicator displays labels like "Trend Up" or "Trend Dn" , reflecting the current trend direction.
🔵 Usage:
Use the colored midline to determine the overall trend direction.
Monitor "X" fakeout signals to spot failed breakouts or momentum exhaustion near the bands.
Watch for reversal triangles (▲ and ▼) to identify potential trend reversals at tops or bottoms.
Combine the bands and midline signals to confirm trade entries and exits:
Enter long trades when price bounces off the lower band with a green midline.
Consider short trades when price reverses from the upper band with a purple midline.
Use the trend label (e.g., "Trend Up" or "Trend Dn") for quick confirmation of the current market state.
The Half Trend Channel is an essential tool for traders who want to follow trends, avoid fakeouts, and identify reliable tops and bottoms to optimize their trading decisions.
[blackcat] L2 BullBear OscillatorOVERVIEW
The " L2 BullBear Oscillator" is a custom trading indicator for TradingView that helps traders identify market trends, potential tops and bottoms, and the strength of trends using various moving averages and price relationships.
FEATURES
Calculates a base oscillator based on the close price relative to the highest and lowest prices over the past 60 periods.
Smoothes the oscillator using exponential moving averages (EMAs).
Determines market strength through relative strength indicators and moving averages.
Identifies potential tops and strong support levels based on specific conditions involving oscillators and price actions.
Plots several signals to help traders make informed decisions.
HOW TO USE
Install the script on your TradingView chart.
Customize the settings in the "Inputs" section:
Set the periods for the short-term and long-term EMAs.
Set the periods for the three SMAs used in calculations.
Interpret the plots:
BullBear Signal (Fuchsia Line): Indicates the overall market trend. Uptrends suggest buying opportunities, while downtrends suggest selling.
Decreasing BullBear Signal (Aqua Line): Highlights periods when the trend is weakening or turning bearish, signaling possible selling opportunities.
Potential Top Condition (Yellow Plot): Signals possible trend reversals from bullish to bearish, indicating times to consider taking profits or preparing for a downtrend.
High Price Condition (Yellow Plot): Indicates strong bullish momentum but also potentially overbought conditions, which might precede a correction.
Earning Condition (Red Line): Possibly signifies strong bullish signals, indicating good times to enter long positions.
Strong Support Condition (White Arrows): Signals potential bottoms or support levels, indicating buying opportunities.
Start Hiding Condition (Fuchsia Plot): Might indicate times to exit positions or reduce exposure due to unfavorable market conditions.
ALGORITHMS
Moving Averages:
Simple Moving Averages (SMAs): Used to calculate averages of price data over specified periods.
Exponential Moving Averages (EMAs): Used to give more weight to recent prices, making the moving averages more responsive to new data.
Oscillator Calculation:
The base oscillator is calculated based on the close price's position within the highest and lowest prices over 60 periods, normalized to a 0-100 scale.
This oscillator is then smoothed using EMAs to reduce noise and make trends more visible.
Relative Strength Indicator:
Calculated based on the close price's position within the highest and lowest prices over 20 periods, also normalized to a 0-100 scale.
This is smoothed using SMAs to get a more stable signal.
Condition Checks:
Various conditions are checked to identify potential tops, strong support, and other market states based on the relationships between these indicators and price actions.
LIMITATIONS
The script is based on historical data and does not guarantee future performance.
It is recommended to use the script in conjunction with other analysis tools.
The effectiveness of the strategy may vary depending on the market conditions and asset being traded.
NOTES
The script is designed for educational purposes and should not be considered financial advice.
Users are encouraged to backtest the strategy on a demo account before applying it to live trades.
THANKS
Special thanks to the TradingView community for their support and feedback.
Bitcoin Reversal PredictorOverview
This indicator displays two lines that, when they cross, signal a potential reversal in Bitcoin's price trend. Historically, the high or low of a bull market cycle often occurs near the moment these lines intersect. The lines consist of an Exponential Moving Average (EMA) and a logarithmic regression line fitted to all of Bitcoin's historical data.
Inspiration
The inspiration for this indicator came from the PI Cycle Top indicator, which has accurately predicted past bull market peaks. However, I believe the PI Cycle Top indicator may not be as effective in the future. In that indicator, two lines cross to mark the top, but the extent of the cross has been diminishing over time. This was especially noticeable in the 2021 cycle, where the lines barely crossed. Because of this, I created a new indicator that I think will continue to provide reliable reversal signals in the future.
How It Works
The logarithmic regression line is fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). This results in a steadily decreasing line. The EMA oscillates above and below this regression line. Each time the two lines cross, a vertical colored bar appears, indicating that Bitcoin's price momentum is likely to reverse.
Use Cases
- Price Bottoming:
Bitcoin often bottoms out when the EMA crosses below the logarithmic regression line.
- Price Topping:
In contrast, Bitcoin often peaks when the EMA crosses above the logarithmic regression line.
- Profitable Strategy:
Trading at the crossovers of these lines can be a profitable strategy, as these moments often signal significant price reversals.
Pi Cycle MACD Inverse OscillatorPi Cycle MACD Inverse Oscillator with Gradient and Days Since Last Top
This indicator is ideal for Bitcoin traders seeking a robust tool to visualize long-term and short-term trends with enhanced clarity and actionable insights.
This script combines the concept of the Pi Cycle indicator with a unique MACD-based inverse oscillator to analyze Bitcoin market trends. It introduces several features to help traders understand market conditions better:
Inverse Oscillator:
- Oscillator ranges between 1 and -1.
- A value of 1 indicates the two moving averages (350 MA and 111 MA) are equal.
- A value of -1 indicates the maximum observed distance between the moving averages during the selected lookback period.
- The oscillator dynamically adjusts to price changes using a configurable scaling factor.
Gradient Visualization:
The oscillator line transitions smoothly from green (closer to -1) to yellow (at 0) and red (closer to 1).
The color gradient provides a quick visual cue for market momentum.
Days Since Last Pi Cycle Top:
Calculates and displays the number of days since the last "Pi Cycle Top" (defined as a crossover between the two moving averages).
The label updates dynamically and appears only on the most recent bar.
Conditional Fill:
Highlights the area between 0 and 1 with a green gradient when the price is above the long moving average.
Enhances visual understanding of the oscillator's position relative to key thresholds.
Inputs:
- Long Moving Average (350 default): Determines the primary trend.
- Short Moving Average (111 default): Measures shorter-term momentum.
- Oscillator Lookback Period (100 default): Defines the range for normalizing the oscillator.
- Price Scaling Factor (0.01 default): Adjusts the normalization to account for large price fluctuations.
How to Use:
- Use the oscillator to identify potential reversal points and trend momentum.
- Look for transitions in the gradient color and the position relative to 0.
- Monitor the "Days Since Last Top" label for insights into the market's cycle timing.
- Utilize the conditional fill to quickly assess when the market is in a favorable position above the long moving average.
True Amplitude Envelopes (TAE)The True Envelopes indicator is an adaptation of the True Amplitude Envelope (TAE) method, based on the research paper " Improved Estimation of the Amplitude Envelope of Time Domain Signals Using True Envelope Cepstral Smoothing " by Caetano and Rodet. This indicator aims to create an asymmetric price envelope with strong predictive power, closely following the methodology outlined in the paper.
Due to the inherent limitations of Pine Script, the indicator utilizes a Kernel Density Estimator (KDE) in place of the original Cepstral Smoothing technique described in the paper. While this approach was chosen out of necessity rather than superiority, the resulting method is designed to be as effective as possible within the constraints of the Pine environment.
This indicator is ideal for traders seeking an advanced tool to analyze price dynamics, offering insights into potential price movements while working within the practical constraints of Pine Script. Whether used in dynamic mode or with a static setting, the True Envelopes indicator helps in identifying key support and resistance levels, making it a valuable asset in any trading strategy.
Key Features:
Dynamic Mode: The indicator dynamically estimates the fundamental frequency of the price, optimizing the envelope generation process in real-time to capture critical price movements.
High-Pass Filtering: Uses a high-pass filtered signal to identify and smoothly interpolate price peaks, ensuring that the envelope accurately reflects significant price changes.
Kernel Density Estimation: Although implemented as a workaround, the KDE technique allows for flexible and adaptive smoothing of the envelope, aimed at achieving results comparable to the more sophisticated methods described in the original research.
Symmetric and Asymmetric Envelopes: Provides options to select between symmetric and asymmetric envelopes, accommodating various trading strategies and market conditions.
Smoothness Control: Features adjustable smoothness settings, enabling users to balance between responsiveness and the overall smoothness of the envelopes.
The True Envelopes indicator comes with a variety of input settings that allow traders to customize the behavior of the envelopes to match their specific trading needs and market conditions. Understanding each of these settings is crucial for optimizing the indicator's performance.
Main Settings
Source: This is the data series on which the indicator is applied, typically the closing price (close). You can select other price data like open, high, low, or a custom series to base the envelope calculations.
History: This setting determines how much historical data the indicator should consider when calculating the envelopes. A value of 0 will make the indicator process all available data, while a higher value restricts it to the most recent n bars. This can be useful for reducing the computational load or focusing the analysis on recent market behavior.
Iterations: This parameter controls the number of iterations used in the envelope generation algorithm. More iterations will typically result in a smoother envelope, but can also increase computation time. The optimal number of iterations depends on the desired balance between smoothness and responsiveness.
Kernel Style: The smoothing kernel used in the Kernel Density Estimator (KDE). Available options include Sinc, Gaussian, Epanechnikov, Logistic, and Triangular. Each kernel has different properties, affecting how the smoothing is applied. For example, Gaussian provides a smooth, bell-shaped curve, while Epanechnikov is more efficient computationally with a parabolic shape.
Envelope Style: This setting determines whether the envelope should be Static or Dynamic. The Static mode applies a fixed period for the envelope, while the Dynamic mode automatically adjusts the period based on the fundamental frequency of the price data. Dynamic mode is typically more responsive to changing market conditions.
High Q: This option controls the quality factor (Q) of the high-pass filter. Enabling this will increase the Q factor, leading to a sharper cutoff and more precise isolation of high-frequency components, which can help in better identifying significant price peaks.
Symmetric: This setting allows you to choose between symmetric and asymmetric envelopes. Symmetric envelopes maintain an equal distance from the central price line on both sides, while asymmetric envelopes can adjust differently above and below the price line, which might better capture market conditions where upside and downside volatility are not equal.
Smooth Envelopes: When enabled, this setting applies additional smoothing to the envelopes. While this can reduce noise and make the envelopes more visually appealing, it may also decrease their responsiveness to sudden market changes.
Dynamic Settings
Extra Detrend: This setting toggles an additional high-pass filter that can be applied when using a long filter period. The purpose is to further detrend the data, ensuring that the envelope focuses solely on the most recent price oscillations.
Filter Period Multiplier: This multiplier adjusts the period of the high-pass filter dynamically based on the detected fundamental frequency. Increasing this multiplier will lengthen the period, making the filter less sensitive to short-term price fluctuations.
Filter Period (Min) and Filter Period (Max): These settings define the minimum and maximum bounds for the high-pass filter period. They ensure that the filter period stays within a reasonable range, preventing it from becoming too short (and overly sensitive) or too long (and too sluggish).
Envelope Period Multiplier: Similar to the filter period multiplier, this adjusts the period for the envelope generation. It scales the period dynamically to match the detected price cycles, allowing for more precise envelope adjustments.
Envelope Period (Min) and Envelope Period (Max): These settings establish the minimum and maximum bounds for the envelope period, ensuring the envelopes remain adaptive without becoming too reactive or too slow.
Static Settings
Filter Period: In static mode, this setting determines the fixed period for the high-pass filter. A shorter period will make the filter more responsive to price changes, while a longer period will smooth out more of the price data.
Envelope Period: This setting specifies the fixed period used for generating the envelopes in static mode. It directly influences how tightly or loosely the envelopes follow the price action.
TAE Smoothing: This controls the degree of smoothing applied during the TAE process in static mode. Higher smoothing values result in more gradual envelope curves, which can be useful in reducing noise but may also delay the envelope’s response to rapid price movements.
Visual Settings
Top Band Color: This setting allows you to choose the color for the upper band of the envelope. This band represents the resistance level in the price action.
Bottom Band Color: Similar to the top band color, this setting controls the color of the lower band, which represents the support level.
Center Line Color: This is the color of the central price line, often referred to as the carrier. It represents the detrended price around which the envelopes are constructed.
Line Width: This determines the thickness of the plotted lines for the top band, bottom band, and center line. Thicker lines can make the envelopes more visible, especially when overlaid on price data.
Fill Alpha: This controls the transparency level of the shaded area between the top and bottom bands. A lower alpha value will make the fill more transparent, while a higher value will make it more opaque, helping to highlight the envelope more clearly.
The envelopes generated by the True Envelopes indicator are designed to provide a more precise and responsive representation of price action compared to traditional methods like Bollinger Bands or Keltner Channels. The core idea behind this indicator is to create a price envelope that smoothly interpolates the significant peaks in price action, offering a more accurate depiction of support and resistance levels.
One of the critical aspects of this approach is the use of a high-pass filtered signal to identify these peaks. The high-pass filter serves as an effective method of detrending the price data, isolating the rapid fluctuations in price that are often lost in standard trend-following indicators. By filtering out the lower frequency components (i.e., the trend), the high-pass filter reveals the underlying oscillations in the price, which correspond to significant peaks and troughs. These oscillations are crucial for accurately constructing the envelope, as they represent the most responsive elements of the price movement.
The algorithm works by first applying the high-pass filter to the source price data, effectively detrending the series and isolating the high-frequency price changes. This filtered signal is then used to estimate the fundamental frequency of the price movement, which is essential for dynamically adjusting the envelope to current market conditions. By focusing on the peaks identified in the high-pass filtered signal, the algorithm generates an envelope that is both smooth and adaptive, closely following the most significant price changes without overfitting to transient noise.
Compared to traditional envelopes and bands, such as Bollinger Bands and Keltner Channels, the True Envelopes indicator offers several advantages. Bollinger Bands, which are based on standard deviations, and Keltner Channels, which use the average true range (ATR), both tend to react to price volatility but do not necessarily follow the peaks and troughs of the price with precision. As a result, these traditional methods can sometimes lag behind or fail to capture sudden shifts in price momentum, leading to either false signals or missed opportunities.
In contrast, the True Envelopes indicator, by using a high-pass filtered signal and a dynamic period estimation, adapts more quickly to changes in price behavior. The envelopes generated by this method are less prone to the lag that often affects standard deviation or ATR-based bands, and they provide a more accurate representation of the price's immediate oscillations. This can result in better predictive power and more reliable identification of support and resistance levels, making the True Envelopes indicator a valuable tool for traders looking for a more responsive and precise approach to market analysis.
In conclusion, the True Envelopes indicator is a powerful tool that blends advanced theoretical concepts with practical implementation, offering traders a precise and responsive way to analyze price dynamics. By adapting the True Amplitude Envelope (TAE) method through the use of a Kernel Density Estimator (KDE) and high-pass filtering, this indicator effectively captures the most significant price movements, providing a more accurate depiction of support and resistance levels compared to traditional methods like Bollinger Bands and Keltner Channels. The flexible settings allow for extensive customization, ensuring the indicator can be tailored to suit various trading strategies and market conditions.
Enigma UnlockedENIGMA Indicator: A Comprehensive Market Bias & Success Tracker
The ENIGMA Indicator is a powerful tool designed for traders who aim to identify market bias, track price movements, and evaluate trade performance using multiple timeframes. It combines multiple indicators and advanced logic to provide real-time insights into market trends, helping traders make more informed decisions.
Key Features
1. Multi-Timeframe Bias Calculation:
The ENIGMA Indicator tracks the market bias across multiple timeframes—Daily (D), 4-Hour (H4), 1-Hour (H1), 30-Minute (30M), 15-Minute (15M), 5-Minute (5M), and 1-Minute (1M).
How the Bias is Created:
The Bias is a key feature of the ENIGMA Indicator and is determined by comparing the current price with previous price levels for each timeframe.
- Bullish Bias (1): The market is considered **bullish** if the **current closing price** is higher than the **previous timeframe’s high**. This suggests that the market is trending upwards, and buyers are in control.
- Bearish Bias (-1): The market is considered **bearish** if the **current closing price** is lower than the **previous timeframe’s low**. This suggests that the market is trending downwards, and sellers are in control.
- Neutral Bias (0): The market is considered **neutral** if the price is between the **previous high** and **previous low**, indicating indecision or a range-bound market.
This bias calculation is performed independently for each timeframe. The **Bias** for each timeframe is then displayed in the **Bias Table** on your chart, providing a clear view of market direction across multiple timeframes.
2. **Customizable Table Display:**
- The indicator provides a table that displays the bias for each selected timeframe, clearly marking whether the market is **Bullish**, **Bearish**, or **Neutral**.
- Users can choose where to place the table on the chart: top-left, top-right, bottom-left, bottom-right, or center positions, allowing for easy and personalized chart management.
3. **Win/Loss Tracker:**
- The table also tracks the **success rate** of **buy** and **sell** trades based on price retests of key bias levels.
- For each period (Day, Week, Month), it tracks how often the price has moved in the direction of the initial bias, counting **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses**.
- This helps traders assess the effectiveness of the market bias over time and adjust their strategies accordingly.
#### **How the Success Calculation Determines the Success Rate:**
The **Success Calculation** is designed to track how often the price follows the direction of the market bias. It does this by evaluating how the price retests key levels associated with the identified market bias:
1. **Buy Success Calculation**:
- The success of a **Buy Trade** is determined when the price breaks above the **previous high** after a **bullish bias** has been identified.
- If the price continues to move higher (i.e., makes a new high) after breaking the previous high, the **buy trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Buy Win**.
2. **Sell Success Calculation**:
- The success of a **Sell Trade** is determined when the price breaks below the **previous low** after a **bearish bias** has been identified.
- If the price continues to move lower (i.e., makes a new low) after breaking the previous low, the **sell trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Sell Win**.
3. **Failure Calculations**:
- If the price does not move as expected (i.e., it does not continue in the direction of the identified bias), the trade is considered a **loss** and is tracked as **Buy Loss** or **Sell Loss**, depending on whether it was a bullish or bearish trade.
The ENIGMA Indicator keeps a running tally of **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses** over a set period (which can be customized to Days, Weeks, or Months). These statistics are updated dynamically in the **Bias Table**, allowing you to track your success rate in real-time and gain insights into the effectiveness of the market bias.
#### **Customizable Period Tracking:**
- The ENIGMA Indicator allows you to set custom tracking periods (e.g., 30 days, 2 weeks, etc.). The performance metrics reset after each tracking period, helping you monitor your success in different market conditions.
5. **Interactive Settings:**
- **Lookback Period**: Define how many bars the indicator should consider for bias calculations.
- **Success Tracking**: Set the number of candles to track for calculating the win/loss performance.
- **Time Threshold**: Set a time threshold to help define the period during which price retests are considered valid.
- **Info Tooltip**: You can enable the information tool in the settings to view detailed explanations of how wins and losses are calculated, ensuring you understand how the indicator works and how the results are derived.
#### **How to Use the ENIGMA Indicator:**
1. **Install the Indicator**:
- Add the ENIGMA Indicator to your chart. It will automatically calculate and display the bias for multiple timeframes.
2. **Interpret the Bias Table**:
- The bias table will show whether the market is **Bullish**, **Bearish**, or **Neutral** across different timeframes.
- Look for alignment between the timeframes—when multiple timeframes show the same bias, it may indicate a stronger trend.
3. **Use the Win/Loss Tracker**:
- Track how well your trades align with the bias using the **Win/Loss Tracker**. This helps you refine your strategy by understanding which timeframes and biases lead to higher success rates.
- For example, if you see a high number of **Buy Wins** and a low number of **Sell Wins**, you may decide to focus more on buying during bullish trends and avoid selling during bearish retracements.
4. **Track Your Period Performance**:
- The indicator will automatically track your performance over the set period (Days, Weeks, Months). Use this data to adjust your approach and evaluate the effectiveness of your trading strategy.
5. **Position the Table**:
- Customize the placement of the table on your chart based on your preferences. You can choose from options like **Top Left**, **Top Right**, **Bottom Left**, **Bottom Right**, or **Center** to keep the chart uncluttered.
6. **Adjust Settings**:
- Modify the indicator settings according to your trading style. You can adjust the **Lookback Period**, **Number of Candles to Track**, and **Time Threshold** to match the pace of your trading.
7. **Use the Info Tooltip**:
- Enable the **Info Tool** in the settings to understand how the Buy/Sell Wins and Losses are calculated. The tooltip provides a breakdown of how the indicator tracks price movements and calculates the success rate.
**Conclusion:**
The **ENIGMA Indicator** is designed to help traders make informed decisions by providing a clear view of the market bias and performance data. With the ability to track bias across multiple timeframes and evaluate your trading success, it can be a powerful tool for refining your trading strategies.
Whether you're looking to focus on a single timeframe or analyze multiple timeframes for a stronger bias, the ENIGMA Indicator adapts to your needs, providing both real-time market insights and performance feedback.
Jackson Volume breaker Indication# Jackson Volume Breaker Beta
### Advanced Volume Analysis Indicator
## Description
The Jackson Volume Breaker Beta is a sophisticated volume analysis tool that helps traders identify buying and selling pressure by analyzing price action and volume distribution. This indicator separates and visualizes buying and selling volume based on where the price closes within each candle's range, providing clear insights into market participation and potential trend strength.
## Key Features
1. **Smart Volume Distribution**
- Automatically separates buying and selling volume
- Color-coded volume bars (Green for buying, Red for selling)
- Winning volume always displayed on top for quick visual reference
2. **Real-time Volume Analysis**
- Shows current candle's buy/sell ratio
- Displays total volume with smart number formatting (K, M, B)
- Percentage-based volume distribution
3. **Technical Overlays**
- 20-period Volume Moving Average
- Dynamic scaling relative to price action
- Clean, uncluttered visual design
## How to Use
### Installation
1. Add the indicator to your chart
2. Adjust the Volume Scale input based on your preference (default: 0.08)
3. Toggle the Moving Average display if desired
### Reading the Indicator
#### Volume Bars
- **Green Bars**: Represent buying volume
- **Red Bars**: Represent selling volume
- **Stacking**: The larger volume (winning side) is always displayed on top
- **Height**: Relative to the actual volume, scaled for chart visibility
#### Information Table
The top-right table shows three key pieces of information:
1. **Left Percentage**: Winning side's volume percentage
2. **Middle Percentage**: Losing side's volume percentage
3. **Right Number**: Total volume (abbreviated)
### Trading Applications
1. **Trend Confirmation**
- Strong buying volume in uptrends confirms bullish pressure
- High selling volume in downtrends confirms bearish pressure
- Volume divergence from price can signal potential reversals
2. **Support/Resistance Breaks**
- High volume on breakouts suggests stronger moves
- Low volume on breaks might indicate false breakouts
- Monitor volume distribution for break direction confirmation
3. **Reversal Identification**
- Volume shift from selling to buying can signal potential bottoms
- Shift from buying to selling can indicate potential tops
- Use with price action for better entry/exit points
## Input Parameters
1. **Volume Scale (0.01 to 1.0)**
- Controls the height of volume bars
- Default: 0.08
- Adjust based on your chart size and preference
2. **Show MA (True/False)**
- Toggles 20-period volume moving average
- Useful for identifying volume trends
- Default: True
3. **MA Length (1+)**
- Changes the moving average period
- Default: 20
- Higher values for longer-term volume trends
## Best Practices
1. **Multiple Timeframe Analysis**
- Compare volume patterns across different timeframes
- Look for volume convergence/divergence
- Use higher timeframes for major trend confirmation
2. **Combine with Other Indicators**
- Price action patterns
- Support/resistance levels
- Momentum indicators
- Trend indicators
3. **Volume Pattern Recognition**
- Monitor for unusual volume spikes
- Watch for volume climax patterns
- Identify volume dry-ups
## Tips for Optimization
1. Adjust the Volume Scale based on your chart size
2. Use smaller timeframes for detailed volume analysis
3. Compare current volume bars to historical patterns
4. Watch for volume/price divergences
5. Monitor volume distribution changes near key price levels
## Note
This indicator works best when combined with proper price action analysis and risk management strategies. It should not be used as a standalone trading system but rather as part of a comprehensive trading approach.
## Version History
- Beta Release: Initial public version
- Features buy/sell volume separation, moving average, and real-time analysis
- Optimized for both intraday and swing trading timeframes
## Credits
Developed by Jackson based on other script creators
Special thanks to the trading community for feedback and suggestions
All Chart Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws and sends alerts for all of the chart patterns in my public library as they occur. The patterns included are as follows:
• Ascending Broadening
• Broadening
• Descending Broadening
• Double Bottom
• Double Top
• Triple Bottom
• Triple Top
• Bearish Elliot Wave
• Bullish Elliot Wave
• Bearish Alternate Flag
• Bullish Alternate Flag
• Bearish Flag
• Bullish Flag
• Bearish Ascending Head and Shoulders
• Bullish Ascending Head and Shoulders
• Bearish Descending Head and Shoulders
• Bullish Descending Head and Shoulders
• Bearish Head and Shoulders
• Bullish Head and Shoulders
• Bearish Pennant
• Bullish Pennant
• Ascending Wedge
• Descending Wedge
• Wedge
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Measurement Tolerances
Tolerance refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. I have applied this concept in my pattern detection logic and have set default tolerances where applicable, as perfect patterns are, needless to say, very rare.
Chart Patterns
Generally speaking price charts are nothing more than a series of swing highs and swing lows. When demand outweighs supply over a period of time prices swing higher and when supply outweighs demand over a period of time prices swing lower. These swing highs and swing lows can form patterns that offer insight into the prevailing supply and demand dynamics at play at the relevant moment in time.
‘Let us assume… that you the reader, are not a member of that mysterious inner circle known to the boardrooms as “the insiders”… But it is fairly certain that there are not nearly so many “insiders” as amateur trader supposes and… It is even more certain that insiders can be wrong… Any success they have, however, can be accomplished only by buying and selling… hey can do neither without altering the delicate poise of supply and demand that governs prices. Whatever they do is sooner or later reflected on the charts where you… can detect it. Or detect, at least, the way in which the supply-demand equation is being affected… So, you do not need to be an insider to ride with them frequently… prices move in trends. Some of those trends are straight, some are curved; some are brief and some are long and continued… produced in a series of action and reaction waves of great uniformity. Sooner or later, these trends change direction; they may reverse (as from up to down), or they may be interrupted by some sort of sideways movement and then, after a time, proceed again in their former direction… when a price trend is in the process of reversal… a characteristic area or pattern takes shape on the chart, which becomes recognisable as a reversal formation… Needless to say, the first and most important task of the technical chart analyst is to learn to know the important reversal formations and to judge what they may signify in terms of trading opportunities’ (Edwards & Magee, 1948).
This is as true today as it was when Edwards and Magee were writing in the first half of the last Century, study your patterns and make judgements for yourself about what their implications truly are on the markets and timeframes you are interested in trading.
Over the years, traders have come to discover a multitude of chart and candlestick patterns that are supposed to pertain information on future price movements. However, it is never so clear cut in practice and patterns that where once considered to be reversal patterns are now considered to be continuation patterns and vice versa. Bullish patterns can have bearish implications and bearish patterns can have bullish implications. As such, I would highly encourage you to do your own backtesting.
There is no denying that chart patterns exist, but their implications will vary from market to market and timeframe to timeframe. So it is down to you as an individual to study them and make decisions about how they may be used in a strategic sense.
█ INPUTS
• Change pattern and label colours
• Show or hide patterns individually
• Adjust pattern ratios and tolerances
• Set or remove alerts for individual patterns
█ NOTES
I have decided to rename some of my previously published patterns based on the way in which the pattern completes. If the pattern completes on a swing high then the pattern is considered bearish, if the pattern completes on a swing low then it is considered bullish. This may seem confusing but it makes sense when you come to backtesting the patterns and want to use the most recent peak or trough prices as stop losses. Patterns that can complete on both a swing high and swing low are for such reasons treated as neutral, namely all broadening and wedge variations. I trust that it is quite self-evident that double and triple bottom patterns are considered bullish while double and triple top patterns are considered bearish, so I did not feel the need to rename those.
The patterns that have been renamed and what they have been renamed to, are as follows:
• Ascending Elliot Waves to Bearish Elliot Waves
• Descending Elliot Waves to Bullish Elliot Waves
• Ascending Head and Shoulders to Bearish Ascending Head and Shoulders
• Descending Head and Shoulders to Bearish Descending Head and Shoulders
• Head and Shoulders to Bearish Head and Shoulders
• Ascending Inverse Head and Shoulders to Bullish Ascending Head and Shoulders
• Descending Inverse Head and Shoulders to Bullish Descending Head and Shoulders
• Inverse Head and Shoulders to Bullish Head and Shoulders
You can test the patterns with your own strategies manually by applying the indicator to your chart while in bar replay mode and playing through the history. You could also automate this process with PineScript by using the conditions from my swing and pattern libraries as entry conditions in the strategy tester or your own custom made strategy screener.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ SOURCES
Edwards, R., & Magee, J. (1948) Technical Analysis of Stock Trends (10th edn). Reprint, Boca Raton, Florida: Taylor and Francis Group, CRC Press: 2013.
CandleAnalysisLibrary "CandleAnalysis"
A collection of frequently used candle analysis functions in my scripts.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
MarcosLibraryLibrary "MarcosLibrary"
A colection of frequently used functions in my scripts.
bullFibRet(priceLow, priceHigh, fibLevel)
Calculates a bullish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bearFibRet(priceLow, priceHigh, fibLevel)
Calculates a bearish fibonacci retracement value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given retracement level.
bullFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bullish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
bearFibExt(priceLow, priceHigh, thirdPivot, fibLevel)
Calculates a bearish fibonacci extension value.
Parameters:
priceLow (float) : (float) The lowest price point.
priceHigh (float) : (float) The highest price point.
thirdPivot (float) : (float) The third price point.
fibLevel (float) : (float) The fibonacci level to calculate.
Returns: The fibonacci value of the given extension level.
isBullish(barsBack)
Checks if a specific bar is bullish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bullish, otherwise returns false.
isBearish(barsBack)
Checks if a specific bar is bearish.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is bearish, otherwise returns false.
isBE(barsBack)
Checks if a specific bar is break even.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar is break even, otherwise returns false.
getBodySize(barsBack, inPriceChg)
Calculates a specific candle's body size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the body size as a price change value. The default is false (in points).
Returns: The candle's body size in points.
getTopWickSize(barsBack, inPriceChg)
Calculates a specific candle's top wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's top wick size in points.
getBottomWickSize(barsBack, inPriceChg)
Calculates a specific candle's bottom wick size.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
inPriceChg (bool) : (bool) True to return the wick size as a price change value. The default is false (in points).
Returns: The candle's bottom wick size in points.
getBodyPercent(barsBack)
Calculates a specific candle's body size as a percentage of its entire size including its wicks.
Parameters:
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: The candle's body size percentage.
isHammer(fib, bullish, barsBack)
Checks if a specific bar is a hammer candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bullish (bool) : (bool) True if the candle must to be green. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a hammer candle, otherwise returns false.
isShootingStar(fib, bearish, barsBack)
Checks if a specific bar is a shooting star candle based on a given fibonacci level.
Parameters:
fib (float) : (float) The fibonacci level to base candle's body on. The default is 0.382.
bearish (bool) : (bool) True if the candle must to be red. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a shooting star candle, otherwise returns false.
isDoji(wickSize, bodySize, barsBack)
Checks if a specific bar is a doji candle based on a given wick and body size.
Parameters:
wickSize (float) : (float) The maximum top wick size compared to the bottom and vice versa. The default is 1.5.
bodySize (float) : (bool) The maximum body size as a percentage compared to the entire candle size. The default is 5.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a doji candle.
isBullishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bullish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum top wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bullish engulfing candle.
isBearishEC(gapTolerance, rejectionWickSize, engulfWick, barsBack)
Checks if a specific bar is a bearish engulfing candle.
Parameters:
gapTolerance (int)
rejectionWickSize (int) : (int) The maximum bottom wick size compared to the body as a percentage. The default is 10.
engulfWick (bool) : (bool) True if the engulfed candle's wick requires to be engulfed as well. The default is false.
barsBack (int) : (int) The number of bars to look back. The default is 0 (current bar).
Returns: True if the bar matches the requirements of a bearish engulfing candle.
Heat Map SeasonsHeat Map Seasons indicator
Indicator offers traders a unique perspective on market dynamics by visualizing seasonal trends and deviations from typical price behavior. By blending regression analysis with a color-coded heat map, this indicator highlights periods of heightened volatility and helps identify potential shifts in market sentiment.
Summer:
In the context of the indicator, "summer" represents a period of heightened volatility and upward price momentum in the market. This is analogous to the warmer months of the year when activities are typically more vibrant and energetic. During the "summer" phase indicated by the indicator, traders may observe strong bullish trends, increased trading volumes, and larger price movements. It suggests a favorable environment for bullish strategies, such as trend following or momentum trading. However, traders should exercise caution as heightened volatility can also lead to increased risk and potential drawdowns.
Winter:
Conversely, "winter" signifies a period of decreased volatility and potentially sideways or bearish price action in the market. Similar to the colder months of the year when activities tend to slow down, the "winter" phase in the indicator suggests a quieter market environment with subdued price movements and lower trading volumes. During this phase, traders may encounter choppy price action, consolidation patterns, or even downtrends. It indicates a challenging environment for trend-following strategies and may require a more cautious approach, such as range-bound or mean-reversion trading strategies.
In summary, the "summer" and "winter" phases in the "Heat Map Seasons" indicator provide traders with valuable insights into the prevailing market sentiment and can help inform their trading decisions based on the observed levels of volatility and price momentum.
How to Use:
Watch for price bars that deviate significantly from the regression line , as these may signal potential trading opportunities.
Use the seasonal gauge to gauge the current market sentiment and adjust trading strategies accordingly.
Experiment with different settings for Length and Heat Sensitivity to customize the indicator to your trading style and preferences.
The "Heat Map Seasons" indicator can potentially identify overheated market tops and bottoms on a weekly timeframe by detecting significant deviations from the regression line and observing extreme color gradients in the heat map. Here's how it can be used for this purpose:
Observing Extreme Color Gradients:
When the market is overheated and reaches a potential top, you may observe extremely warm colors (e.g., deep red) in the heat map section of the indicator.
Traders can interpret this as a warning sign of a potential market top, indicating that bullish momentum may be reaching unsustainable levels.
Conversely, when prices deviate too far below the regression line, it may indicate oversold conditions and a potential bottom.
Potential Tops and Bottoms:
User Inputs:
Length: Determines the length of the regression analysis period.
Heat Sensitivity: Controls the sensitivity of the heat map to deviations from the regression line.
Show Regression Line: Option to display or hide the regression line on the chart
Note: This indicator is best used in conjunction with other technical analysis tools and should not be relied upon as the sole basis for trading decisions.
Bitcoin Regression Price BoundariesTLDR
DCA into BTC at or below the blue line. DCA out of BTC when price approaches the red line. There's a setting to toggle the future extrapolation off/on.
INTRODUCTION
Regression analysis is a fundamental and powerful data science tool, when applied CORRECTLY . All Bitcoin regressions I've seen (Rainbow Log, Stock-to-flow, and non-linear models), have glaring flaws ... Namely, that they have huge drift from one cycle to the next.
Presented here, is a canonical application of this statistical tool. "Canonical" meaning that any trained analyst applying the established methodology, would arrive at the same result. We model 3 lines:
Upper price boundary (red) - Predicted the April 2021 top to within 1%
Lower price boundary (green)- Predicted the Dec 2022 bottom within 10%
Non-bubble best fit line (blue) - Last update was performed on Feb 28 2024.
NOTE: The red/green lines were calculated using solely data from BEFORE 2021.
"I'M INTRUIGED, BUT WHAT EXACTLY IS REGRESSION ANALYSIS?"
Quite simply, it attempts to draw a best-fit line over some set of data. As you can imagine, there are endless forms of equations that we might try. So we need objective means of determining which equations are better than others. This is where statistical rigor is crucial.
We check p-values to ensure that a proposed model is better than chance. When comparing two different equations, we check R-squared and Residual Standard Error, to determine which equation is modeling the data better. We check residuals to ensure the equation is sufficiently complex to model all the available signal. We check adjusted R-squared to ensure the equation is not *overly* complex and merely modeling random noise.
While most people probably won't entirely understand the above paragraph, there's enough key terminology in for the intellectually curious to research.
DIVING DEEPER INTO THE 3 REGRESSION LINES ABOVE
WARNING! THIS IS TECHNICAL, AND VERY ABBREVIATED
We prefer a linear regression, as the statistical checks it allows are convenient and powerful. However, the BTCUSD dataset is decidedly non-linear. Thus, we must log transform both the x-axis and y-axis. At the end of this process, we'll use e^ to transform back to natural scale.
Plotting the log transformed data reveals a crucial visual insight. The best fit line for the blowoff tops is different than for the lower price boundary. This is why other models have failed. They attempt to model ALL the data with just one equation. This causes drift in both the upper and lower boundaries. Here we calculate these boundaries as separate equations.
Upper Boundary (in red) = e^(3.24*ln(x)-15.8)
Lower Boundary (green) = e^(0.602*ln^2(x) - 4.78*ln(x) + 7.17)
Non-Bubble best fit (blue) = e^(0.633*ln^2(x) - 5.09*ln(x) +8.12)
* (x) = The number of days since July 18 2010
Anyone familiar with Bitcoin, knows it goes in cycles where price goes stratospheric, typically measured in months; and then a lengthy cool-off period measured in years. The non-bubble best fit line methodically removes the extreme upward deviations until the residuals have the closest statistical semblance to normal data (bell curve shaped data).
Whereas the upper/lower boundary only gets re-calculated in hindsight (well after a blowoff or capitulation occur), the Non-Bubble line changes ever so slightly with each new datapoint. The last update to this line was made on Feb 28, 2024.
ENOUGH NERD TALK! HOW CAN I APPLY THIS?
In the simplest terms, anything below the blue line is a statistical buying opportunity. The closer you approach the green line (the lower boundary) the more statistically strong that opportunity is. As price approaches the red line, is a growing statistical likelyhood/danger of an imminent blowoff top.
So a wise trader would DCA (dollar cost average) into Bitcoin below the blue line; and would DCA out of Bitcoin as it approaches the red line. Historically, you may or may not have a large time-window during points of maximum opportunity. So be vigilant! Anything within 10-20% of the boundary should be regarded as extreme opportunity.
Note: You can toggle the future extrapolation of these lines in the settings (default on).
CLOSING REMARKS
Keep in mind this is a pure statistical analysis. It's likely that this model is probing a complex, real economic process underlying the Bitcoin price. Statistical models like this are most accurate during steady state conditions, where the prevailing fundamentals are stable. (The astute observer will note, that the regression boundaries held despite the economic disruption of 2020).
Thus, it cannot be understated: Should some drastic fundamental change occur in the underlying economic landscape of cryptocurrency, Bitcoin itself, or the broader economy, this model could drastically deviate, and become significantly less accurate.
Furthermore, the upper/lower boundaries cross in the year 2037. THIS MODEL WILL EVENTUALLY BREAK DOWN. But for now, given that Bitcoin price moves on the order of 2000% from bottom to top, it's truly remarkable that, using SOLELY pre-2021 data, this model was able to nail the top/bottom within 10%.
TTrades Daily Bias [TFO]Inspired by @TTrades_edu video on daily bias, this indicator aims to develop a higher timeframe bias and collect data on its success rate. While a handful of concepts were introduced in said video, this indicator focuses on one specific method that utilizes previous highs and lows. The following description will outline how the indicator works using the daily timeframe as an example, but the weekly timeframe is also an included option that functions in the exact same manner.
On the daily timeframe, there are a handful of possible scenarios that we consider: if price closes above its previous day high (PDH), the following day's bias will target PDH; if price trades above its PDH but closes back below it, the following day's bias will target its previous day low (PDL).
Similarly, if price closes below its PDL, the following day's bias will target PDL. If price trades below its PDL but closes back above it, the following day's bias will target PDH.
If price trades as an inside bar that doesn't take either PDH or PDL, it will refer to the previous candle for bias. If the previous day closed above its open, it will target PDH and vice versa. If price trades as an outside bar that takes both PDH and PDL, but closes inside that range, no bias is assigned.
With a rigid framework in place, we can apply it to the charts and observe the results.
As shown above, each new day starts by drawing out the PDH and PDL levels. They start out as blue and turn red once traded through (these are the default colors which can be changed in the indicator's settings). The triangles you see are plotted to indicate the time at which PDH or PDL was traded through. This color scheme is also applied to the table in the top right; once a bias is determined, that cell's color starts out as blue and turns red once the level is traded through.
The table indicates the success rate of price hitting the levels provided by each period's bias, followed by the success rate of price closing through said levels after reaching them, as well as the sample size of data collected for each scenario.
In the above crude oil futures (CL1!) 30m chart, we can glean a lot of information from the table in the top right. First we may note that the "PDH" cell is red, which indicates that the current day's bias was targeting PDH and it has already traded through that level. We might also note that the "PWH" cell is blue, which indicates that the weekly bias is targeting the previous week high (PWH) but price has yet to reach that level.
As an example of how to read the table's data, we can look at the "PDH" row of the crude oil chart above. The sample size here indicates that there were 279 instances where the daily bias was assigned as PDH. From this sample size, 76.7% of instances did go on to trade through PDH, and only 53.7% of those instances actually went on to close through PDH after hitting that level.
Of course, greater sample sizes and therefore greater statistical significance may be derived from higher timeframe charts that may go further back in time. The amount of data you can observe may also depend on your TradingView plan.
If we don't want to see the labels describing why bias is assigned a certain way, we can simply turn off the "Show Bias Reasoning" option. Additionally, if we want to see a visual of what the daily and weekly bias currently is, we can plot that along the top and bottom of the chart, as shown above. Here I have daily bias plotted at the top and weekly bias at the bottom, where the default colors of green and red indicate that the bias logic is expecting price to draw towards the given timeframe's previous high or low, respectively.
For a compact table view that doesn't take up much chart space, simply deselect the "Show Statistics" option. This will only show the color-coded bias column for a quick view of what levels are being anticipated (more user-friendly for mobile and other smaller screens).
Alerts can be configured to indicate the bias for a new period, and/or when price hits its previous highs and lows. Simply enable the alerts you want from the indicator's settings and create a new alert with this indicator as the condition. There will be options to use "Any alert() function call" which will alert whatever is selected from the settings, or you can use more specific alerts for bullish/bearish bias, whether price hit PDH/PDL, etc.
Lastly, while the goal of this indicator was to evaluate the effectiveness of a very specific bias strategy, please understand that past performance does not guarantee future results.
Liquidity Finder🔵 Introduction
The concept of "liquidity pool" or simply "liquidity" in technical analysis price action refers to areas on the price chart where stop losses accumulate, and the market, by reaching those areas and collecting liquidity (Stop Hunt), provides the necessary energy to move the price. This concept is prominent in the "ICT" and "Smart Money" styles. Imagine, as depicted below, the price is at a support level. The general trader mentality is that there is "demand" for the asset at this price level, and this demand will outweigh "supply" as before. So, it is likely that the price will increase. As a result, they start buying and place their stop loss below the support area.
Stop Hunt areas are essentially traders' "stop loss" levels. These are the liquidity that institutional and large traders need to fill their orders. Consequently, they penetrate the price below support areas or above resistance areas to touch their stop loss and fill their orders, and then the price trend reverses.
Cash zones are generally located under "Swings Low" and above "Swings High." More specifically, they can be categorized as support levels or resistance levels, above Double Top and Triple Top patterns, below Double Bottom and Triple Bottom patterns, above Bearish Trend lines, and below Bullish Trend lines.
Double Top and Triple Top :
Double Bottom and Triple Bottom :
Bullish Trend line and Bearish Trend line :
🔵 How to Use
To optimally use this indicator, you can adjust the settings according to the symbol, time frame, and your needs. These settings include the "sensitivity" of the "liquidity finder" function and the swing periods related to static and dynamic liquidity lines.
"Statics Liquidity Line Sensitivity" is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
"Dynamics Liquidity Line Sensitivity" is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
"Statics Period Pivot" is set to 8 by default. By changing this number, you can specify the period for the static liquidity line pivots.
"Dynamics Period Pivot" is set to 3 by default. By changing this number, you can specify the period for the dynamic liquidity line pivots.
🔵 Settings
Access to adjust the inputs of Static Dynamic Liquidity Line Sensitivity, Dynamics Liquidity Line Sensitivity, Statics Period Pivot, and Dynamics Period Pivot is possible from this section.
Additionally, you can enable or disable liquidity lines as needed using the buttons for "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line."
HSI - Halving Seasonality Index for Bitcoin (BTC) [Logue]Halving Seasonality Index (HSI) for Bitcoin (BTC) - The HSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops around 538 days after each halving. Past cycles have formed macro bottoms every 948 days after each halving. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are set at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the HSI.
CSI - Calendar Seasonality Index for Bitcoin (BTC) [Logue]Calendar Seasonality Index (CSI) for Bitcoin (BTC) - The CSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops every four years near November 21st, starting from in 2013. Past cycles have formed macro bottoms every four years near January 15th, starting from 2011. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the CSI.
Price and Volume Stochastic Divergence [MW]Introduction
This indicator creates signals of interest for entering and exiting long and short positions on equities. It primarily uses up and down trends defined by the change in cumulative volume with some filtering provided by a short period exponential moving average (9 EMA by default).
Settings
Moving Average Period : The moving average over which the cumulative volume delta is calculated. Default: 14
Short Period EMA : The EMA used to represent price action, and is used to generate the EMA Delta line. Default: 27 (3*3*3)
Long Period EMA : The second EMA used to calculate the EMA Delta line. Default: 108 (2*2*3*3*3)
Stochastic K Value : The value used for stochastic curve smoothing. Default: 3
Dot Size : The diameter of the larger indicator. Default: 10
Dot Transparency : The transparency level of the outer ring of the primary BUY/SELL signal. Default: 50 (0 is opaque, 100 is transparent)
Band Distance from 0 to 100 : The upper and lower band distance. Default: 20
Calculations
The cumulative volume delta (CVD) is calculated using candle bodies and wicks. For a red candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks, while Selling Volume is calculated multiplying the volume by the spread percentage of the average of the top and bottom wicks - in addition to the spread percentage of the candle body.
For a green candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks - plus the spread percentage of the candle body - while Selling Volume is calculated using only the spread percentage average of the top and bottom wicks.
Once we have the CVD, we can then perform a stochastic calculation of the CVD value.
stochastic calculation = (current value - lowest value in period) / (highest value in period - lowest value in period)
We’ll do the same stochastic calculation for the short term EMA (27 EMA default) as well as for the difference between the short term and long term EMA.
When the stochastic CVD value is rising from zero and the short term EMA stochastic value equals 100, then it’s a major bullish signal. When the stochastic CVD value is falling from 100 and the short term EMA stochastic value equals 0, then it’s a major bearish signal.
Sometimes, after a bullish or bearish signal, the stochastic CVD will reverse direction triggering a new opposing signal.
How to Interpret
The CVD indicates when there is either more buying than selling or vice versa. A value over 50 for the stochastic CVD curve represents more buying taking place. A value below 50 represents more selling. One might intuitively believe that when there is more buying volume than selling volume that the price would follow suit. This is not always the case.
Most of the time buying volume will precede consistent price movement upwards, and selling volume will precede consistent price movement downwards. When this divergence occurs, the indicator generates a signal. When this divergence begins to fail, and buying or selling volume reverses, then another signal is generated indicating that the buying/selling impulse is headed back into the direction of price action.
These interactions are visually represented on the chart with the coral line that represents CVD, and the yellow line that represents the EMA, or the average price. When the coral line goes up and the yellow line stays down, that’s the BUY signal. When the coral line goes down and the yellow line stays up, that’s the sell signal. When the coral line switches direction, the chart generates another signal showing that volume is moving in a direction that supports the price.
The orange line represents the stochastic representation of the difference between the short EMA (27 by default) and the long EMA (108 by default). EMA differences is a method that can be used to define a trend. When a short term EMA is above a longer term EMA, that may represent a bullish trend. When it is below, that may represent a bearish trend. When all 3 lines are rising or falling in the same direction at the same time, it tends to indicate a movement that has the potential to continue.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
This indicator can be paired with the MW Volume Impulse indicator if it is desired to see the actual buying and selling cumulative volume deltas. Also, in many cases, the BUY and SELL signals tend to correspond with Keltner Bands (ATR Bands) becoming extended. Lastly, volume weighted average price (VWAP) along with other macro events can impact price and negate signals. To view VWAP lines, you may choose to use the Multi VWAP or Multi VWAP for Gaps indicator to help ensure that the signals you see in this indicator are not being affected by VWAP lines.
MACD Based Price Forecasting [LuxAlgo]The MACD Based Price Forecasting tool is an innovative price forecasting method based on signals generated by the MACD indicator.
The forecast includes an area which can help traders determine the area where price can develop after a MACD signal.
🔶 USAGE
The forecast returned by the tool allows users to obtain a general picture of how price tends to progress after a specific MACD signal. The forecast is constructed based on percentiles of previous price progressions done after a specific MACD signal is generated.
Users can change which condition is used to generate MACD signals from the "Trend Determination" dropdown menu, with "MACD" determining trends based on whether the MACD is positive (uptrend) or negative (downtrend) and "MACD-Signal" determining trends based on the position of the MACD relative to its signal line, with an MACD above the signal line indicating an uptrend, else a downtrend.
Users can introduce bias to the forecast by changing the "Average Percentage" setting, with values above 50% introducing bullish bias, and below bearish bias.
It can be possible for the forecast to highlight potential reversals depending on the selected forecasting horizon as long as reversals can be observed on trends detected by the MACD.
🔹 Forecasting Area
The forecasting area can help visualize the area that will likely contain price after a specific signal. The area width is based on the "Top/Bottom Percentiles" settings, with a higher "Top Percentile" value returning a higher top bound and a lower "Bottom Percentile" value returning a lower bottom bound.
These areas can also serve as potential support/resistance areas.
🔶 SETTINGS
Fast Length: Fast length of the moving average used to compute the MACD
Slow Length: Slow length of the moving average used to compute the MACD
Signal Length: Length of the MACD moving average.
Trend Determination: Method used to determine a trend direction from the MACD.
🔹 Forecast
Maximum Memory: Determines the maximum amount of prices recorded at each steps succeeding a signal. Lower values will return forecasts with a higher degree of variability.
Forecasting Length: Forecasting horizon in bars, this value only serves as a limit of the forecasting horizon and might not be reached depending on user selected MACD settings.
Top Percentile: Percentile value used to determine the upper bound of the forecasting area.
Average Percentile: Percentile value used to determine the forecast.
Lower Percentile: Percentile value used to determine the lower bound of the forecasting area.
Cumulative Volume Value (BTC)The Cumulative Volume Value (BTC) indicator is designed to visualize and analyze cumulative volume data specific to Bitcoin. This indicator provides insights into the total volume transacted over a time, aiding in understanding market activity and potential value of Bitcoin.
It considers whether the closing price is greater than the opening price over the defined length, adding or subtracting volume accordingly.
The Cumulative Volume Value (BTC) indicator offers a valuable perspective on Bitcoin's market activity by visualizing cumulative volume and providing insights into potential market tops, bottoms, and the relationship between volume and BTC value movements.
Peaks in the cumulative volume might suggest potential tops in the BTC market, indicating periods of intense trading activity.
Conversely, bottoms in cumulative volume might signal potential market bottoms, representing phases of reduced trading activity or consolidation.
This is how human psychology works. The greatest activity is close to the peak and the worst when the price of BTC has decreased to the level when people lose interest and faith in the cryptocurrency market and the volume of trades falls, then the best time to buy.
Important Considerations:
Historical patterns suggest a relationship between cumulative volume and market tops/bottoms, but this indicator should be used in conjunction with other technical analysis tools for informed trading decisions.
Past performance of cumulative volume in relation to market tops or bottoms does not guarantee future outcomes in financial markets.
HighLowBox+220MAs[libHTF]HighLowBox+220MAs
This is a sample script of libHTF to use HTF values without request.security().
import nazomobile/libHTFwoRS/1
HTF candles are calculated internally using 'GMT+3' from current TF candles by libHTF .
To calcurate Higher TF candles, please display many past bars at first.
The advantage and disadvantage is that the data can be generated at the current TF granularity.
Although the signal can be displayed more sensitively, plots such as MAs are not smooth.
In this script, assigned ➊,➋,➌,➍ for htf1,htf2,htf3,htf4.
HTF candles
Draw candles for HTF1-4 on the right edge of the chart. 2 candles for each HTF.
They are updated with every current TF bar update.
Left edge of HTF candles is located at the x-postion latest bar_index + offset.
DMI HTF
ADX/+DI/DI arrows(8lines) are shown each timeframes range.
Current TF's is located at left side of the HighLowBox.
HTF's are located at HighLowBox of HTF candles.
The top of HighLowBox is 100, The bottom of HighLowBox is 0.
HighLowBox HTF
Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
In HTF, shows Fibonacci Level of the current price at latest box only.
Boxes:
1 for current timeframe.
4 for higher timeframes.(Steps of timeframe: 5, 15, 60, 240, D, W, M, 3M, 6M, Y)
HighLowBox TrendLine
Draw TrendLine for each HighLow Range. TrendLine is drawn between high and return high(or low and return low) of each HighLowBox.
Style of TrendLine is same as each HighLowBox.
HighLowBox RSI
RSI Signals are shown at the bottom(RSI<=30) or the top(RSI>=70) of HighLowBox in each timeframe.
RSI Signal is color coded by RSI9 and RSI14 in each timeframe.(current TF: ●, HTF1-4: ➊➋➌➍)
In case of RSI<=30, Location: bottom of the HighLowBox
white: only RSI9 is <=30
aqua: RSI9&RSI14; <=30 and RSI9RSI14
green: only RSI14 <=30
In case of RSI>=70, Location: top of the HighLowBox
white: only RSI9 is >=70
yellow: RSI9&RSI14; >=70 and RSI9>RSI14
orange: RSI9&RSI14; >=70 and RSI9=70
blue/green and orange/red could be a oversold/overbought sign.
20/200 MAs
Shows 20 and 200 MAs in each TFs(tfChart and 4 Higher).
TFs:
current TF
HTF1-4
MAs:
20SMA
20EMA
200SMA
200EMA
