Custom Volume for scalping### **Indicator Summary: Custom Volume with Arrow Highlight**
#### **Purpose:**
This indicator visualizes volume bars in a chart, highlighting specific conditions based on volume trends. It displays arrows above the volume bars to indicate potential bullish or bearish market conditions.
#### **Key Features:**
1. **Volume Bars**:
- The indicator plots volume as columns on the chart.
- Volume bars are colored:
- **White** for bullish volume (when the closing price is higher than the opening price).
- **Blue** for bearish volume (when the closing price is lower than the opening price).
2. **Highlight Conditions**:
- The indicator identifies a sequence of three consecutive volume bars:
- The first two bars must be of the same direction (either both bullish or both bearish).
- The third bar must be of the opposite direction.
- Additionally, the third bar's volume must be greater than the previous bar's volume.
3. **Arrow Indicators**:
- When the highlight conditions are met:
- An **upward arrow** ("▲") is placed above the third volume bar for bullish conditions (when the third bar is bullish).
- A **downward arrow** ("▼") is placed above the third volume bar for bearish conditions (when the third bar is bearish).
- The arrows are colored to match the respective volume bar: white for bullish and blue for bearish.
4. **Adjustable Size**:
- The arrows are sized appropriately to ensure visibility without cluttering the chart.
#### **Use Cases:**
- This indicator can help traders identify potential reversals or continuation patterns based on volume behavior.
- It is particularly useful for traders focusing on volume analysis to confirm market trends and make informed trading decisions.
#### **Customization:**
- Users can modify the conditions and visual attributes according to their preferences, such as changing colors, sizes, and label positions.
### **Conclusion:**
The "Custom Volume with Arrow Highlight" indicator provides a straightforward and effective way to visualize volume trends and identify key market conditions, aiding traders in their decision-making processes. It combines the power of volume analysis with clear visual cues, making it a valuable tool for technical analysis in trading.
If you need any further modifications or details, let me know!
在腳本中搜尋"bear"
Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fair Value Gap Oscillator (FVG Oscillator) indicator! This unique indicator identifies and tracks Fair Value Gaps (FVGs) in price action, presenting them in an oscillator format to reveal market momentum based on FVG strength. It highlights bullish and bearish FVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new FVG Oscillator:
Fully Customizable FVG Detection
An Oscillator Approach To FVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. The FVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each FVG is marked as bullish or bearish according to the trend direction that preceded its formation.
An oscillator is calculated using recent FVGs with this formula :
1. The Oscillator starts as 0.
2. When a new FVG Appears, it contributes (FVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past FVGs, allowing recent FVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on FVG intensity. Divergences are marked where FVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish FVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net FVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Fair Value Gap Oscillator stands out by converting FVG activity into an oscillator format, providing a momentum-based visualization of FVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark FVG zones, the oscillator decays older FVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating FVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent FVGs, while decreasing it will distribute the weight equally to the past and recent FVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Trend Strength Momentum Indicator (TSMI)Introducing the Trend Strength Momentum Indicator (TSMI)
With over two decades of experience, I've found that no single indicator can consistently predict market movements. The key lies in combining multiple indicators to capture different market dimensions—trend, momentum, and volume. With this in mind, I present the Trend Strength Momentum Indicator (TSMI), a comprehensive tool designed to spot emerging uptrends and downtrends in cryptocurrency and other asset markets.
1. Overview of TSMI
The TSMI amalgamates three critical market aspects:
Trend Direction and Strength: Utilizing Moving Averages (MA) and the Average Directional Index (ADX).
Momentum: Incorporating the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI).
Volume Confirmation: Employing the On-Balance Volume (OBV) indicator.
By combining these elements, TSMI aims to provide a robust signal that not only indicates the direction of the trend but also confirms its strength and sustainability through momentum and volume analysis.
2. Components and Calculations
A. Trend Component
Exponential Moving Averages (EMA):
50-day EMA: Captures the short to medium-term trend.
200-day EMA: Reflects the long-term trend.
Average Directional Index (ADX):
Measures the strength of the trend regardless of its direction.
A value above 25 indicates a strong trend, while below 20 suggests a weak or non-trending market.
B. Momentum Component
Moving Average Convergence Divergence (MACD):
Calculated by subtracting the 26-day EMA from the 12-day EMA.
The MACD line crossing above the signal line (9-day EMA of MACD) indicates bullish momentum; crossing below suggests bearish momentum.
Relative Strength Index (RSI):
Oscillates between 0 and 100.
Readings above 70 indicate overbought conditions; below 30 suggest oversold conditions.
C. Volume Component
On-Balance Volume (OBV):
Cumulatively adds volume on up days and subtracts volume on down days.
A rising OBV alongside rising prices confirms an uptrend; divergence may signal a reversal.
3. TSMI Calculation Steps
Step 1: Trend Analysis
EMA Crossover:
Identify if the 50-day EMA crosses above the 200-day EMA (Golden Cross), indicating a potential uptrend.
Conversely, if the 50-day EMA crosses below the 200-day EMA (Death Cross), it may signal a downtrend.
ADX Confirmation:
Confirm the strength of the trend. An ADX value above 25 supports the EMA crossover signal.
Step 2: Momentum Assessment
MACD Evaluation:
Look for MACD crossing above its signal line for bullish momentum or below for bearish momentum.
RSI Check:
Ensure RSI is not in overbought (>70) or oversold (<30) territory to avoid potential reversals against the trend.
Step 3: Volume Verification
OBV Direction:
Confirm that OBV is moving in the same direction as the price trend.
Rising OBV with rising prices strengthens the bullish signal; falling OBV with falling prices strengthens the bearish signal.
Step 4: Composite Signal Generation
Bullish Signal:
50-day EMA crosses above 200-day EMA (Golden Cross).
ADX above 25, indicating a strong trend.
MACD crosses above its signal line.
RSI is between 30 and 70, avoiding overbought conditions.
OBV is rising.
Bearish Signal:
50-day EMA crosses below 200-day EMA (Death Cross).
ADX above 25.
MACD crosses below its signal line.
RSI is between 30 and 70, avoiding oversold conditions.
OBV is falling.
4. How to Use the TSMI
A. Entry Points
Buying into an Uptrend:
Wait for the bullish signal criteria to align.
Enter the position after the 50-day EMA crosses above the 200-day EMA, supported by positive momentum (MACD and RSI) and volume (OBV).
Selling or Shorting into a Downtrend:
Look for the bearish signal criteria.
Initiate the position after the 50-day EMA crosses below the 200-day EMA, with confirming momentum and volume indicators.
B. Exit Strategies
Protecting Profits:
Monitor RSI for overbought or oversold conditions, which may indicate potential reversals.
Watch for MACD divergences or crossovers against your position.
Use trailing stops based on the ATR (Average True Range) to allow profits to run while protecting against sharp reversals.
C. Risk Management
Position Sizing:
Use the ADX value to adjust position sizes. A stronger trend (higher ADX) may justify a larger position, whereas a weaker trend suggests caution.
Avoiding False Signals:
Be cautious during sideways markets where EMAs may whipsaw.
Confirm signals with multiple indicators before acting.
5. Examples
Example 1: Spotting an Emerging Uptrend in Bitcoin
Date: Let's assume on March 1st.
Observations:
EMA Crossover: The 50-day EMA crosses above the 200-day EMA.
ADX: Reading is 28, indicating a strong trend.
MACD: Crosses above the signal line and moves into positive territory.
RSI: Reading is 55, comfortably away from overbought levels.
OBV: Shows a rising trend, confirming increasing buying pressure.
Action:
Enter a long position in Bitcoin.
Set a stop-loss below recent swing lows.
Outcome:
Over the next few weeks, Bitcoin's price continues to rise, validating the TSMI signal.
Example 2: Identifying a Downtrend in Ethereum
Date: Let's assume on July 15th.
Observations:
EMA Crossover: The 50-day EMA crosses below the 200-day EMA.
ADX: Reading is 30, confirming a strong trend.
MACD: Crosses below the signal line into negative territory.
RSI: Reading is 45, not yet oversold.
OBV: Declining, indicating selling pressure.
Action:
Initiate a short position or exit long positions in Ethereum.
Place a stop-loss above recent resistance levels.
Outcome:
Ethereum's price declines over the following weeks, confirming the downtrend.
6. When to Use the TSMI
Trending Markets: TSMI is most effective in markets exhibiting clear trends, whether bullish or bearish.
Avoiding Sideways Markets: In range-bound markets, EMAs and momentum indicators may provide false signals. ADX readings below 20 suggest it's best to stay on the sidelines.
Volatile Assets: Particularly useful in cryptocurrency markets, which are known for their volatility and extended trends.
7. Limitations and Considerations
Lagging Indicators: Moving averages and ADX are lagging by nature. Rapid reversals may not be immediately captured.
False Signals: No indicator is foolproof. Always confirm signals with multiple components of TSMI.
Market Conditions: External factors like news events can significantly impact prices. Consider combining TSMI with fundamental analysis.
8. Enhancing TSMI
Customization: Adjust EMA periods (e.g., 20-day and 100-day) based on the asset's volatility and your trading timeframe.
Additional Indicators: Incorporate Bollinger Bands to gauge volatility or Fibonacci retracement levels to identify potential support and resistance.
Conclusion
The Trend Strength Momentum Indicator (TSMI) offers a holistic approach to spotting emerging trends by combining trend direction, momentum, and volume. By synthesizing the strengths of various traditional indicators while mitigating their individual limitations, TSMI provides traders with a powerful tool to navigate the complex landscape of cryptocurrency and other asset markets.
Key Benefits of TSMI:
Comprehensive Analysis: Integrates multiple market dimensions for well-rounded insights.
Early Trend Identification: Aims to spot trends early for optimal entry points.
Risk Management: Helps in making informed decisions, thereby reducing exposure to false signals.
By applying TSMI diligently and complementing it with sound risk management practices, traders can enhance their ability to capitalize on market trends and improve their overall trading performance.
CoffeeShopCrytpo Dynamic PPIIn the financial world, the Producer Price Index (PPI) is often used to measure how domestic products are performing over time, indicating the health of the market. Domestic products refer to goods and services that are produced within a specific country’s borders. However, in this indicator, we’ve taken that idea and applied it directly to financial assets, allowing traders to see how an asset is performing relative to its own base value over a given period of time.
Here, the asset’s base value is represented as 100%. When the asset performs above 100%, it's considered to be in a buyer's market—indicating strength and demand. Conversely, if the value dips below 100%, it's operating below its base value, signaling a potential seller's market.
Why This Matters:
This indicator not only converts an asset’s performance into a PPI-style calculation, but it also visualizes price movements as price candles. This dual perspective is crucial, because even if the asset’s performance is over 100%, the closing price might still fall below that threshold—adding nuance to your understanding of market conditions.
Key Features of the Indicator:
Bullish and Bearish Convergence Levels: These levels show whether the market leans bullish or bearish. If the Bullish Convergence level is higher than the Bearish one, the market is bullish, and vice versa. Importantly, these levels can signal shifts in market strength, regardless of where the PPI candles are positioned.
If Bullish Convergence is rising below Bearish, the bearish market is weakening and bullish pressure is growing. Conversely, if Bearish Convergence is falling above Bullish, the bearish side is losing ground.
Market Strength Visualizations:
Strong Bullish Market: Bullish Convergence is higher than Bearish, and it’s still rising.
Strong Bearish Market: Bearish Convergence is above Bullish, and it's climbing.
Weak Bullish Market: Bullish Convergence is above Bearish, but the PPI closes below Bullish Convergence.
Weak Bearish Market: Bearish Convergence is above Bullish, but the PPI closes above Bullish Convergence
Pullbacks:
Bullish Pullback: In a strong bullish market, the PPI shows lower closes below the Bullish Convergence.
Bearish Pullback: In a strong bearish market, the PPI shows higher closes above the Bullish Convergence.
Divergences:
Higher Price, Lower or Flat PPI: This indicates that while the asset’s price is rising, its underlying performance (relative to the PPI’s 100% base level) is not keeping up. Essentially, the asset is reaching new price highs, but its strength or "efficiency" of growth is weakening.
The PPI is designed to show the "return" of an asset's performance relative to its historical movement, so when it lags behind price, it suggests that the price rise may not be sustainable.
When you observe the first high of the PPI level above the bullish convergence level, followed by a second high of the PPI below the bullish convergence level in a bullish market, this creates a divergence.
Example of Divergence in image:
1. First High of PPI Above the Bullish Convergence Level:
This suggests strong bullish momentum. The asset’s performance, as measured by the PPI, is in line with or even outperforming price expectations, indicating the market is experiencing a robust bullish trend. The fact that the PPI level is above the bullish convergence line means that the asset is operating well above its base performance (above 100%) and bullish momentum is clearly dominant.
2. Second High of PPI Below the Bullish Convergence Level:
This marks a potential weakening of the bullish momentum. Although the market is still in a bullish state (since bullish convergence remains above bearish), the PPI failing to reach the bullish convergence level suggests that the asset’s performance is not keeping pace with price action or is underperforming relative to its earlier high.
The fact that this occurs while the market is still bullish (bullish convergence is greater than bearish) can signal a possible pullback or a temporary consolidation phase within the larger bullish trend.
What does a divergence mean:
Momentum Weakening: The second high of the PPI being below the bullish convergence line suggests that while prices may still be increasing, the strength behind the move is fading. The asset is not performing as strongly as it did during the first high, and the market’s confidence or momentum might be softening.
Potential Bullish Pullback: This could indicate that a pullback or correction within the larger bullish trend is underway. Traders might be taking profits, or buyers could be losing enthusiasm, causing the asset to stall temporarily. However, because the overall market remains bullish, this doesn’t necessarily mean a full reversal—just a cooling off period.
Caution in New Long Positions: If you see this divergence, it could be a sign to be more cautious about opening new long positions. It suggests that the asset may need to consolidate or correct before resuming its upward trend, and it’s worth waiting for confirmation of renewed momentum before jumping back in.
ATR Settings
Youll notice there are two ATR settings. One for short term and one for long term.
These values are based on your preferential strategy for what you consider to be long and short term.
The final ATR values are calculated against eachother and applied to the Volatility Label at the end of price.
This label shows you the current ATR as well as the previous candle ATR.
Why this is important:
If the short term ATR is greater than the long term ATR, then volatility is rising in the short term greater than the long term.
This gives your label a value greater than 1.0. This means the short term trend is about to move.
If the long term ATR is greater than the short term ATR, there is no volatility in the short term and only long term exists.
This gives you a value of less than 1.0. This means no volatility or ranging market in the short term.
Cumulative Buying and Selling Volume with 3 Lookback PeriodsScript Overview:
This script is designed to help traders identify market momentum by analyzing buying and selling volume. It calculates the cumulative buying and selling pressure over three different lookback periods, providing insights into whether the bulls or bears are dominating at any given time. The script does this by computing the cumulative buying and selling volume for each period and comparing them through exponential moving averages (EMA) to smooth out short-term fluctuations.
Purpose and Use:
The primary goal of this script is to highlight shifts in market sentiment based on volume dynamics. Volume is a critical component in market analysis, often signaling the strength behind price movements. By focusing on cumulative buying and selling pressure, the script gives traders an idea of whether the market is trending towards more buying or selling during specific periods. Traders can use this tool to:
Identify potential entry points when buying pressure is strong.
Recognize potential selling opportunities when selling pressure is increasing.
Detect periods of indecision when neither buying nor selling dominates.
Key Concepts:
1. Buying Volume (BV):
The buying volume is calculated based on the price range of each candle. It represents the volume allocated to the bullish side of the market:
When the close is near the high, the buying volume is higher.
Formula: BV = volume * (close - low) / (high - low).
2. Selling Volume (SV):
Similarly, selling volume is derived based on the position of the close relative to the low:
When the close is near the low, selling volume is higher.
Formula: SV = volume * (high - close) / (high - low)
3. Lookback Periods:
The script allows users to define three different lookback periods (5, 10, and 20 by default). These periods smooth out the cumulative buying and selling volumes using EMA calculations:
Shorter periods capture more immediate changes in volume dynamics.
Longer periods provide a broader perspective on market trends.
4. Cumulative Volume Calculation:
For each lookback period, cumulative buying and selling volumes are tracked separately and then smoothed with EMA:
emaBuyVol and emaSellVol are the smoothed values for buying and selling volumes over the lookback periods.
5. Market Pressure Comparison:
Buying Pressure: If the EMA of buying volume is greater than the EMA of selling volume for a particular lookback period, the script considers that buying pressure dominates for that period.
Selling Pressure: Conversely, if selling volume dominates over buying volume for a period, the script registers selling pressure.
6. Overall Market Pressure:
The script aggregates the buying and selling pressures from the three lookback periods to determine the overall market sentiment:
If the majority of periods show buying pressure, the market is bullish.
If the majority show selling pressure, the market is bearish.
If neither side dominates, it suggests a neutral or indecisive market.
Visual Cues:
The script provides visual feedback to help traders quickly interpret the market pressure:
Background Color:
Green (#2bff00) when buying pressure dominates.
Red (#ff0000) when selling pressure dominates.
Gray (#404040) when there is no clear dominance.
Bar Color: The script also colors the price bars based on the dominant market pressure:
Green for buying pressure.
Red for selling pressure.
Gray for neutral or balanced market pressure.
Reset Mechanism:
At the start of each new candle, the cumulative volumes for all three periods are reset to zero. This ensures that the cumulative volumes are only measured for the current candle, preventing carryover from previous periods that could distort the analysis.
How Traders Can Use This Script:
Trend Confirmation: Traders can use the script as a trend confirmation tool. When the background turns green (buying dominance), it suggests bullish momentum. When red, bearish momentum is likely. This information can be used to confirm existing positions or signal new trades in the direction of the market pressure.
Reversal Detection: A sudden shift in the background color (from green to red or vice versa) can indicate a potential reversal. This can be particularly useful when combined with other technical indicators such as price action or support/resistance levels.
Multiple Timeframes: Since the script supports three different lookback periods, it provides a comprehensive view of market pressure across short-term, medium-term, and long-term perspectives. Traders can tailor the lookback periods based on their preferred timeframe to match their trading style, whether it’s intraday trading or longer-term swing trading.
Risk Management: The script's clear visual cues help traders manage risk by highlighting when selling pressure increases, allowing them to consider reducing long positions or tightening stop-losses.
Options Series - NonOverlay_Technical
⭐ 1. Purpose:
The script is designed to show technical indicators in a non-overlay form using candlestick representations. It combines multiple popular technical analysis tools to gauge the market's bullish or bearish conditions.
⭐ 2. Indicators:
The script uses several indicators across different timeframes: Exponential Moving Averages (EMA) for 5, 20, 50 periods. Simple Moving Average (SMA) for 200 periods. RSI (Relative Strength Index) for momentum. VWAP (Volume Weighted Average Price) for average price evaluation. PSAR (Parabolic SAR) for trend direction. Daily and multi-day (2-day and 3-day) data for broader market context.
⭐ 3. Candlestick Representation:
The script uses color-coded candlesticks to visually represent various indicators and their bullish/bearish states: Green candlesticks for bullish conditions. Red candlesticks for bearish conditions. Neutral/transparent for non-significant conditions.
⭐ 4. Important Conditions:
It calculates bullish and bearish conditions for each indicator: MA20: When the price is above or below the 20-period EMA. RSI: When RSI is above or below 50. VWAP: When the price is above or below the VWAP. PSAR: When the price is above or below the PSAR. 2-day and 3-day Moving Averages: Evaluating the broader trend.
⭐ 5. Bullish vs. Bearish Calculation:
The script sums up bullish and bearish signals to determine the overall market condition: Current_logical_bull: Counts the number of bullish indicators. Current_logical_bear: Counts the number of bearish indicators. The script compares these values to conclude whether the market is more bullish or bearish.
⭐ 6. Visual Plotting:
The script uses plotcandle to display the non-overlay signals at different levels for each condition, stacked vertically from MA20 to PSAR. Additionally, a master candle combines all indicators to show an overall market trend.
⭐ 7. Neon Effect on MA20:
It adds a neon-like effect to the MA20 line, making it visually prominent: A standard plot line with the base color. Two additional neon layers with increasing transparency to enhance the effect.
⭐ 8. Daily Timeframes and Lookahead:
The script fetches daily data using the lookahead feature to get a broader view of the market trend. It tracks the previous day’s and two days' data for comparison.
⭐ 9. Labels and Customization:
The script dynamically adds labels to the chart for the different plotted indicators at the last bar, making it easier to identify which indicator is being represented.
🚀 Conclusion:
The script combines multiple technical indicators, such as EMA, RSI, VWAP, PSAR, and multi-day moving averages, to visually assess bullish and bearish market conditions. It uses color-coded candlesticks to represent each indicator and sums up the signals to determine the overall trend.
LiquidityFlow Dominance+Alerts (btc.d, T3, Stables)LiquidityFlow Dominance+Alerts: Overview & Usage Guide
Overview
The LiquidityFlow Dominance+Alerts indicator provides a dynamic view of liquidity flow across Bitcoin, Altcoins, and Stablecoins, helping track liquidity shifts and identify market sentiment. By integrating moving averages, custom alerts, and thresholds for extreme outliers, this indicator helps to anticipate bullish and bearish shifts in liquidity and alert market tops and bottoms.
Key features include:
1. Liquidity Flow Monitoring : Track liquidity flow across Bitcoin (BTC), Altcoins (TOTAL3), and Stablecoins (USDT, USDC, DAI).
2. Custom Alerts : Set alerts for key liquidity shifts and extreme conditions in Stablecoin dominance, both with static and moving average (MA)-based calculations.
3. Moving Averages : Use Simple, Exponential, or Weighted Moving Averages to smooth out market data for more reliable signals.
4. Outlier Detection : Identify potential tops and bottoms using thresholds for Stablecoin dominance, with alerts for extreme movements.
Functionality
Data Inputs and Key Metrics
- Symbols Monitored:
- Bitcoin Dominance (BTC.D)
- Altcoin Market Cap (TOTAL3)
- Stablecoins (USDT.D, USDC.D, DAI.D)
- Liquidity Flow Conditions:
- Track percentage changes in dominance across sectors to detect liquidity flow into Bitcoin, Altcoins, or Stablecoins.
- Custom Metrics:
- Liquidity Flow Index: BTC Dominance minus Stablecoin Dominance.
- Liquidity Flow Ratio: BTC Dominance divided by the combined dominance of Stablecoins and Altcoins.
Moving Average Integration
- Select from SMA, EMA, or WMA to apply moving averages to the dominance metrics. Moving averages help smooth out short-term volatility and provide more consistent signals.
- Moving averages are applied to each sector (BTC, Altcoins, and Stablecoins) and compared to their previous period values to determine shifts in liquidity.
Alerts and Thresholds
- % Change Lookback Period: Adjust the lookback period to align with the timeframe of your chart. Shorter timeframes may require a lower lookback period, while higher timeframes may benefit from longer periods.
- Stables Bull/Bear % for Alerts: Set a threshold for when Stablecoin dominance becomes a bullish or bearish signal relative to BTC and Altcoins. A higher threshold may be used in volatile markets to filter out noise.
- Extreme Outliers Detection: Use the **Stables Up/Down Extreme Threshold** to identify potential market tops or bottoms when Stablecoin dominance deviates significantly from historical trends. The **Extreme Lookback Period** controls the time window for detecting these anomalies.
How to Use the Indicator
Adjusting the % Change Lookback Period
- The `% Change Lookback Period` should be adjusted based on your chart’s timeframe. For example, a shorter period (e.g., 7) works well for intraday charts, while longer periods (e.g., 14) might be more suitable for daily or weekly charts.
Setting Thresholds for Alerts
- Stables Bull/Bear % for Alerts: Adjust this setting to define when Stablecoin dominance triggers bullish or bearish alerts. A value like 1% could be a good starting point for most market conditions but can be fine-tuned based on volatility.
- Extreme Lookback Period: Define the lookback period for detecting extreme moves in Stablecoin dominance. This will help identify major tops and bottoms in the market. For shorter-term trades, consider using a shorter extreme lookback (e.g., 7-10 periods).
Alerts for Liquidity Shifts
- The indicator supports alerts for key liquidity shifts, which are useful for staying ahead of market movements. Alerts can be set to notify you when liquidity moves into:
- Bitcoin: Indicating a potential bullish trend for Bitcoin.
- Altcoins: Signaling altcoins are bullish.
- Stablecoins: Suggesting a risk-off environment or market correction.
Extreme Alerts for Stables
- Extreme Up/Down Alerts: These are triggered when Stablecoin dominance crosses extreme thresholds. For example, if Stablecoin dominance rises more than 14% over a set period, it could signal a market top, while a significant drop could indicate a market bottom.
Moving Average Calculations
- In addition to static percentage changes, moving averages can be applied to smooth out dominance values. The type and length of the moving average can be customized:
- SMA (Simple Moving Average): Best for smoothing out volatility in a linear way.
- EMA (Exponential Moving Average): More responsive to recent data, making it useful in faster markets.
- WMA (Weighted Moving Average): Emphasizes more recent data, but less reactive than the EMA.
Additional Usage Tips:
- Background Colors: The indicator visually highlights the dominant liquidity flow:
- Orange: Liquidity is shifting toward Bitcoin.
- Aqua: Liquidity is flowing into Altcoins.
- Red: Liquidity is moving into Stablecoins.
Price-Shift Oscillator (PSO)The PSOscillator calculates an oscillator value based on price movements over a specific period. Oscillators like this one are typically used to identify momentum shifts, and trend direction. Here's a breakdown of how the logic behind it works:
Key Concepts for Beginners:
Oscillators:
In this case, the PSOscillator helps indicate whether the market momentum is positive (price might rise) or negative (price might fall).
Input Parameters:
oscPeriod: This is the number of bars (or candles) used to calculate the oscillator. It affects how sensitive the oscillator is to price changes. A lower period makes it more sensitive to short-term movements, while a higher period smoothens it out.
smaPeriod: This is a simple moving average (SMA) applied to the oscillator for additional smoothing, further reducing noise.
Calculation Logic:
The JpOscillator uses recent price data to calculate its value. Specifically, it looks at the closing prices of the current and previous bars (candles). periods ago).
This calculation aims to identify how much recent price action is deviating from past price behavior.
Essentially, it tells us whether the current price is higher or lower relative to the past, and how the trend is evolving over recent periods.
Smoothing:
After calculating the oscillator values, we apply optional smoothing to make it less "jumpy." This is useful in reducing the noise caused by small, insignificant price movements.
The sma_from_array function averages out the recent oscillator values to make the signal smoother, depending on the oscPeriod.
Oscillator Levels:
Above Zero:
If the oscillator is above 0, it means the price is gaining momentum upwards (bullish signal), which is why we color the histogram green.
Below Zero: If the oscillator is below 0, it indicates downward momentum (bearish signal), which is why we color the histogram red.
You can think of the zero line as a "neutral zone." Crossing above it means momentum is shifting to the upside, and crossing below it means momentum is shifting to the downside.
Histogram Plotting:
The values of the oscillator are plotted as a histogram (bars). The color changes based on whether the oscillator is above or below zero (green for positive and red for negative momentum).
The moving average (SMA) of the oscillator is plotted as a line to help identify trends over time.
Using two different coloring methods for a histogram in a trading strategy can provide a trader with distinct, layered information about market conditions, trends, and momentum shifts. Each coloring method can highlight different aspects of the price action or the oscillator behavior. Here’s how a trader might use both methods to their advantage:
ETHUSDT Daily
1. Color Based on Oscillator Position Relative to Zero
This method colors the histogram green when the oscillator value is above zero and red when it's below zero. This coloring strategy is straightforward and helps a trader quickly identify whether the market's momentum is generally bullish or bearish.
Advantages:
Trend Confirmation: When the oscillator remains above zero and green, it can confirm a bullish trend, and vice versa for a bearish trend with red colors below zero.
Quick Visual Reference: Easy to see at a glance, helping in fast decision-making processes.
2. Color Based on the Change of the Oscillator
This method changes the color based on whether the oscillator is increasing or decreasing compared to its previous value. For instance, a darker shade of green might be used if the oscillator value is rising from one period to the next, indicating increasing bullish momentum, and a darker red if declining, indicating increasing bearish momentum.
Advantages:
Momentum Insight: This coloring method gives insights into the strength of the movement. An oscillator that is increasing (even below zero) might suggest a weakening of a bearish trend or the start of a bullish reversal.
Detecting Reversals: Seeing the oscillator rise from negative to less negative or drop from positive to less positive can alert traders to potential early reversals before they cross the zero line.
Strategic Use in Trading:
A trader can use these two methods together by applying a multi-layered approach to analyze the oscillator:
Overall Trend Assessment:
Above Zero (Green): Considered bullish; look for buy opportunities, especially if the color gets brighter (indicating strengthening).
Below Zero (Red): Considered bearish; look for sell opportunities, especially if the color gets darker (indicating strengthening).
Short-Term Momentum and Entries:
Brightening Green: Could indicate a good time to enter or add to long positions as bullish momentum increases.
Darkening Red: Could indicate a good time to enter or add to short positions as bearish momentum increases.
Lightening Color: If red starts to lighten (become less intense), it might suggest a bearish trend is losing steam, which could be an exit signal for shorts or an early warning for a potential long setup.
Risk Management:
Switch in Color Intensity: A sudden change in color intensity can be used as a trigger for tightening stops or taking partial profits, helping manage risk by responding to changes in market momentum.
ADX Trend Strength Analyzer█ OVERVIEW
This script implements the Average Directional Index (ADX), a powerful tool used to measure the strength of market trends. It works alongside the Directional Movement Index (DMI), which breaks down the directional market pressure into bullish (+DI) and bearish (-DI) components. The purpose of the ADX is to indicate when the market is in a strong trend, without specifying the direction. This indicator can be especially useful for identifying market trends early and validating trading strategies based on trend-following systems.
The ADX component in this script is based on two key parameters:
ADX Smoothing Length (adxlen), which determines the degree of smoothing for the trend strength.
DI Length (dilen), which defines the look-back period for calculating the directional index values.
Additionally, a horizontal line is plotted at the 30 level, providing a widely used threshold that signifies when a trend is considered strong (above 30).
█ CONCEPTS
Directional Movement (DM): The core idea behind this indicator is the calculation of price movement in terms of bullish and bearish forces. By evaluating the change in highs and lows, the script distinguishes between bullish movement (+DM) and bearish movement (-DM). These values are normalized by dividing them by the True Range (TR), creating the +DI and -DI values.
True Range (TR): The True Range is calculated using the Average True Range (ATR) formula, and it serves to smooth out volatility, ensuring that short-term fluctuations don't distort the long-term trend signal.
ADX Calculation: The ADX is derived from the absolute difference between the +DI and -DI. By smoothing this difference and normalizing it, the ADX is able to measure the overall strength of the trend without regard to whether the market is moving up or down. A rising ADX indicates increasing trend strength, while a falling ADX signals weakening trends.
█ METHODOLOGY
Directional Movement Calculation: The script first determines the upward and downward price movement by comparing changes in the high and low prices. If the upward movement is greater than the downward movement, it registers a bullish signal and vice versa for bearish movement.
True Range Adjustment: The script then applies a smoothing function to normalize these movements by dividing them by the True Range (ATR). This ensures that the trend signal is based on relative, rather than absolute, price movements.
ADX Signal Generation: The final step is to calculate the ADX by applying the Relative Moving Average (RMA) to the difference between +DI and -DI. This produces the ADX value, which is plotted in red, making it easy to visualize shifts in market momentum.
Threshold Line: A blue horizontal line is plotted at 30, which serves as a key reference point. When the ADX is above this line, it indicates a strong trend, whether bullish or bearish.
█ HOW TO USE
Trend Strength: Traders typically use the 30 level as a critical threshold. When the ADX is above 30, it signifies a strong trend, making it a favorable environment for trend-following strategies. Conversely, ADX values below 30 suggest a weak or non-trending market.
+DI and -DI Relationship: The indicator also provides insight into whether the trend is bullish or bearish. When +DI is greater than -DI, the market is considered bullish. When -DI is greater than +DI, the market is considered bearish. While this script focuses on the ADX value itself, the underlying +DI and -DI help interpret the trend direction.
Market Conditions: This indicator is effective in trending markets, but not ideal for choppy or sideways conditions. Traders can use it to determine the best entry and exit points when trends are strong, or to avoid trading in periods of low volatility.
Combining with Other Indicators: The ADX is commonly used in conjunction with oscillators like RSI or moving averages, to confirm the trend strength and avoid false signals.
█ METHOD VARIANTS
This script applies the standard approach for calculating the ADX, but could be adapted with the following variants:
Different Timeframes: The script could be modified to calculate ADX values across higher or lower timeframes, depending on the trader's strategy.
Custom Thresholds: Instead of using the default 30 threshold, traders could adjust the horizontal line to suit their own risk tolerance or market conditions.
E9 Shark-32 PatternUnderstanding the Shark-32 Pattern and its Trading Applications
The Shark-32 Pattern is a bearish technical trading formation used to predict market reversals or trend continuations. It highlights a downward move followed by a corrective rally, signaling a potential resumption of the downtrend. Here’s a breakdown of how it works:
What is the Shark-32 Pattern?
The Shark-32 pattern is a five-wave structure typically observed in bearish markets:
Wave 0 to X: A significant price decline starts the pattern.
Wave X to A: A correction pushes the price slightly upward.
Wave A to B: The price drops again but doesn’t reach the initial low.
Wave B to C: A final sharp decline concludes the pattern.
Once Wave C is formed, it suggests that the market will continue to move downward, presenting a potential selling or shorting opportunity.
Using the Pattern in Trading
This pattern is valuable for traders seeking high-probability bearish setups. The goal is to capitalize on the continuation of a downtrend following the corrective rally (X to A). Identifying the Shark-32 pattern helps anticipate the next wave of selling pressure.
Trading Setup
Identify a Shark-32 pattern.
If the price closes above the pattern's high, buy at the open the next day.
If the price closes below the pattern's low, short at the open the next day.
Sell/cover when the price moves 7% in the direction of the breakout.
Close the trade for a loss if the price moves 7% in the opposite direction.
For example, in a bull market after an upward breakout from a Shark-32, the net gain was $69.55. The method won 56% of the time with 5,218 winning trades and an average gain of $714.07. Conversely, 44% of trades were losers, with an average loss of $747.33. The average holding period was 26 calendar days.
The gains and losses were closely aligned with the 7% threshold set for this test.
Key Target Levels
To enhance the strategy, use dotted projection lines as target levels:
Upper Target: Drawn above the high of the corrective rally (Wave A). If the price breaks above this line, it may signal further upward movement, indicating a potentially weaker downtrend.
Lower Target: Positioned below the low of Wave C, providing a target for bearish trades.
These lines help determine future price targets and assist in setting take-profit or stop-loss levels.
Trading the Breakout
Look for breakouts once the Shark-32 pattern is identified:
Upward Breakout: If the price closes above the green line (high from two bars ago), it indicates a potential reversal to the upside.
Downward Breakout: If the price breaks below the red line (low from two bars ago), it confirms the bearish continuation.
Breakouts allow traders to adjust their positions based on market shifts.
Trading Tips
Continuation: The Shark-32 pattern acts as a continuation 60% of the time, confirming the ongoing trend.
Breakout Confirmation: Wait for the price to close above or below the pattern’s key levels before entering a trade.
Trade with the Trend: Since the Shark-32 is a continuation pattern, expect the breakout to align with the inbound price trend.
Symmetry: Patterns with symmetry often perform better. For more insights, refer to detailed trading literature.
Half-Staff: The Shark-32 can form midway in a trend, similar to flags and pennants.
Shark-32: Trading Performance
Based on an analysis of 23,369 trades, the following performance metrics were observed:
Bull Market with Upward Breakout: The average net profit was $69.55. This method won 56% of the time, with winning trades averaging $714.07. Losing trades, which constituted 44% of the total, had an average loss of $747.33. The average holding period was 26 calendar days.
Bull Market with Downward Breakout: The average net loss was $(76.36). This method won 43% of the time, with winning trades averaging $753.56. Losing trades, which constituted 57% of the total, had an average loss of $706.32. The average holding period was 23 calendar days.
Bear Market with Upward Breakout: The average net loss was $(89.13). This method won 46% of the time, with winning trades averaging $710.77. Losing trades, which constituted 54% of the total, had an average loss of $756.97. The average holding period was 16 calendar days.
Bear Market with Downward Breakout: The average net profit was $65.17. This method won 52% of the time, with winning trades averaging $781.62. Losing trades, which constituted 48% of the total, had an average loss of $722.41. The average holding period was 13 calendar days.
N Bar Reversal Detector [LuxAlgo]The N Bar Reversal Detector is designed to detect and highlight N-bar reversal patterns in user charts, where N represents the length of the candle sequence used to detect the patterns. The script incorporates various trend indicators to filter out detected signals and offers a range of customizable settings to fit different trading strategies.
🔶 USAGE
The N-bar reversal pattern extends the popular 3-bar reversal pattern. While the 3-bar reversal pattern involves identifying a sequence of three bars signaling a potential trend reversal, the N-bar reversal pattern builds on this concept by incorporating additional bars based on user settings. This provides a more comprehensive indication of potential trend reversals. The script automates the identification of these patterns and generates clear, visually distinct signals to highlight potential trend changes.
When a reversal chart pattern is confirmed and aligns with the price action, the pattern's boundaries are extended to create levels. The upper boundary serves as resistance, while the lower boundary acts as support.
The script allows users to filter patterns based on the trend direction identified by various trend indicators. Users can choose to view patterns that align with the detected trend or those that are contrary to it.
🔶 DETAILS
🔹 The N-bar Reversal Pattern
The N-bar reversal pattern is a technical analysis tool designed to signal potential trend reversals in the market. It consists of N consecutive bars, with the first N-1 bars used to identify the prevailing trend and the Nth bar confirming the reversal. Here’s a detailed look at the pattern:
Bullish Reversal : In a bullish reversal setup, the first bar is the highest among the first N-1 bars, indicating a prevailing downtrend. Most of the remaining bars in this sequence should be bearish (closing lower than where they opened), reinforcing the existing downward momentum. The Nth (most recent) bar confirms a bullish reversal if its high price is higher than the high of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be higher than the high of the first bar.
Bearish Reversal : In a bearish reversal setup, the first bar is the lowest among the first N-1 bars, indicating a prevailing uptrend. Most of the remaining bars in this sequence should be bullish (closing higher than where they opened), reinforcing the existing upward momentum. The Nth bar confirms a bearish reversal if its low price is lower than the low of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be lower than the low of the first bar.
🔹 Min Percentage of Required Candles
This parameter specifies the minimum percentage of candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) among the first N-1 candles in a pattern. For higher values of N, it becomes more challenging for all of the first N-1 candles to be consistently bullish or bearish. By setting a percentage value, P, users can adjust the requirement so that only a minimum of P percent of the first N-1 candles need to meet the bullish or bearish condition. This allows for greater flexibility in pattern recognition, accommodating variations in market conditions.
🔶 SETTINGS
Pattern Type: Users can choose the type of the N-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the last bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns.
Reversal Pattern Sequence Length: Specifies the number of candles (N) in the sequence used to identify a reversal pattern.
Min Percentage of Required Candles: Sets the minimum percentage of the first N-1 candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) to qualify as a valid reversal pattern.
Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones.
🔹 Trend Filtering
Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend.
🔹 Trend Indicator Settings
Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow moving averages.
Supertrend: Options to set the ATR length and factor for Supertrend.
Donchian Channels: Option to set the length for the channel calculation.
🔶 RELATED SCRIPTS
Reversal-Candlestick-Structure.
Reversal-Signals.
Screener | FractalystWhat’s the purpose of this indicator?
This indicator is part of the Optirange suite , which analyzes all timeframes using a mechanical top-down approach to determine the overall market bias. It helps you identify the specific timeframes and exact levels for positioning in longs, shorts, or guiding you on whether to stay away from trading a particular market condition.
The purpose of the Screener indicator is to track the contextual bias of multiple markets simultaneously on the charts without the need to switch between pairs. This allows traders to monitor various assets in real-time, enhancing decision-making efficiency and identifying potential trading opportunities more effectively.
-----
How does this indicator identify the overall market bias?
This indicator employs a systematic top-down approach, analyzing market structure, fractal blocks, and their mitigations from the 12M timeframe down to the 1D timeframe to uncover the story behind the market. This method helps identify the overall market bias, whether it’s bullish, bearish, or in consolidating conditions.
Below is a flowchart that illustrates the calculation behind the market context identification, demonstrating the systematic approach:
-----
According to the above trade plan, why do we only look for mitigations within Fractal Blocks of X1/X2?
In this context, "X" stands for a break in the market's structure, and the numbers (1 and 2) indicate the sequence of these breaks within the same trend direction, either up or down.
We focus on mitigations within Fractal Blocks during the X1/X2 stages because these points mark the early phase (X1) and the continuation (X2) of a trend. By doing so, we align our trades with the market's main direction and avoid getting stopped out in the middle of trends.
-----
How does this indicator identify ranges in a mechanical way?
Since the indicator is part of the Optirange suite , it follows the exact rules that Optirange utilizes to identify breaks of market structures in a mechanical manner.
Let’s take a closer look at how the ranges are calculated:
1- First, we need to understand the importance of following a set of mechanical rules in identifying market structure:
The image above illustrates the difference between a subjective and a mechanical approach to analyzing market structure. The subjective method often leads to uncertainty, where traders might struggle to pinpoint exact breaks in structure, resulting in inconsistent decision-making. Questions like “Is this a break?” or “Maybe this one...?” reflect the ambiguity of manual interpretation, which can cause confusion and errors in trading.
On the other hand, the mechanical approach depicted on the right side of the image follows a clear, rule-based method to define breaks in market structure. This systematic approach eliminates guesswork by providing precise criteria for identifying structural changes, such as marking structural invalidation levels where market bias shifts from bullish to bearish or vice versa. The mechanical method not only offers consistency but also integrates statistical probabilities , enhancing the trader's ability to make data-driven decisions.
By adhering to these mechanical rules, the Screener indicator ensures that ranges are identified consistently, allowing traders to rely on objective analysis rather than subjective interpretation . This approach is crucial for accurately defining market structures and making informed trading decisions.
2- Now let's take a look at a practical example of how the indicator utilizes Pivot points with a period of 2 to identify ranges:
In this image, we see a Bearish Scenario on the left and a Bullish Scenario on the right. The indicator starts by identifying the first significant swing on the chart. It then validates this swing by checking if there is a preceding swing high (for a bearish scenario) or swing low (for a bullish scenario). Once validated, the indicator confirms a break of structure when price closes below or above these points, respectively.
For instance, in the Bearish Scenario:
The first significant swing is identified.
The script checks for a preceding swing high before confirming any structural break.
A candle closure below the swing low confirms the first bearish break of structure.
This results in a confirmed market bias towards bearishness, with structural liquidity levels indicated for potential price targets.
In the Bullish Scenario:
The process is mirrored, identifying the first swing low and validating it with a preceding swing low.
A closure above this swing confirms the bullish break of structure.
This leads to a market bias towards bullishness, with invalidation levels to watch if the trend shifts.
This practical example demonstrates how the indicator systematically identifies market ranges, ensuring that traders can make informed decisions based on clear, rule-based criteria.
-----
How does this indicator identify ranges in a mechanical way, What are the underlying calculations?
Fractal blocks refer to the most extreme swing candle within the latest break. They can serve as significant levels for price rejection and may guide movements toward the next break, often in confluence with topdown analysis for added confirmation.
-----
What are mitigations, What are the underlying calculations?
Mitigations refer to specific price action occurrences identified by the script:
1- When the price reaches the most recent fractal block and confirms a swing candle, the script automatically draws a line from the swing to the fractal block bar and labels it with a checkmark.
2- If the price wicks through the invalidation level and then retraces back to the fractal block while forming a swing candle, the script labels this as a double mitigation on the chart.
This level will serve as the next potential invalidation level if a break occurs in the same direction.
-----
What does the right table display?
The table located at the right of your chart displays five colored symbols that represent the contextual market bias:
Green: The market is in a bullish condition.
Red: The market is in a bearish condition.
White: The market condition is uncertain, and it is advisable to stay away from trading.
-----
What does the bottom table display?
The bottom table can be turned on in the Optirange indicator and serves multiple purposes:
Range Counts and Mitigations: It shows the range counts and their mitigations across multiple timeframes, providing a comprehensive view of market dynamics.
Hourly Timeframe Probabilities: The bottom row of the bias table displays the probabilities for various hourly timeframes, helping to identify potential entry levels based on the multi-timeframe bias determined by the Screener.
In a bullish market context, you should look for long positions by focusing on hourly timeframes where buy-side probability exceeds 50%.
In a bearish market context, you should look for short positions by focusing on hourly timeframes where the sell-side probability exceeds 50%.
When the symbol is white within the Screener table, it signals that the market bias is unclear, and it's recommended to stay away from trading in such conditions.
-----
How the range probabilities are calculated?
Each break of market structure, denoted as X, is assigned a unique ID, starting from X1 for the first break, X2 for the second, and so on.
The probabilities are calculated based on breaks holding, meaning price closing through the liquidity level, rather than invalidation. This probability is then divided by the total count of similar numeric breaks.
For example, if 75 out of 100 bullish X1s become X2, then the probability of X1 becoming X2 on your charts will be displayed as 75% in the following format: ⬆ 75%
-----
What does the top table display?
The top table on the charts displays the current market context, offering insights into the underlying bias. It highlights the high-timeframe (HTF) bias and guides you on which timeframes you should use to enter long or short positions, based on the probability of success.
Additionally, when the market bias is unclear, the table clearly signals that it's best to avoid trading that specific market until the context or market story becomes clearer. This helps traders make informed decisions and avoid uncertain market conditions.
-----
How does the Screener indicator identify the market bias/context/story ?
- Market Structure: The Optirange indicator analyzes market structure across multiple timeframes, from a top-down perspective, including 12M, 6M, 3M, 1M, 2W, 1W, 3D, and 1D.
- Fractal Blocks: Once the market structure or current range is identified, the indicator automatically identifies the last push before the break and draws it as a box. These zones acts as a key area where the price often rejects from.
- Mitigations: After identifying the Fractal Block, the indicator checks for price mitigation or rejection within this zone. If mitigation occurs, meaning the price has reacted or rejected from the Fractal Block, the indicator draws a checkmark from the deepest candle within the Fractal Block to the initial candle that has created the zone.
- Bias Table: After identifying the three key elements—market structure, Fractal Blocks, and price mitigations—the indicator compiles this information into a multi-timeframe table. This table provides a comprehensive top-down perspective, showing what is happening from a structural standpoint across all timeframes. The Bias Table presents raw data, including identified Fractal Blocks and mitigations, to help traders understand the overall market trend. This data is crucial for the screener, which uses it to determine the current market bias based on a top-down analysis.
- Screener: Once all higher timeframes (HTF) and lower timeframes (LTF) are calculated using the indicator, it follows the exact rules outlined in the flowchart to determine the market bias. This systematic approach not only helps identify the current market trend but also suggests the exact timeframes to use for finding entry, particularly on hourly timeframes.
Example:
12M Timeframe:
OANDA:EURUSD
6M Timeframe :
OANDA:EURUSD
3M Timeframe :
OANDA:EURUSD
1M Timeframe :
OANDA:EURUSD
2W Timeframe :
OANDA:EURUSD
1W Timeframe :
OANDA:EURUSD
-----
User-input settings and customizations
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. By utilizing our charting tools, the buyer acknowledges that neither the seller nor the creator assumes responsibility for decisions made using the information provided. The buyer assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses. Therefore, by purchasing these charting tools, the customer acknowledges that neither the seller nor the creator is liable for any unfavorable outcomes resulting from the development, sale, or use of the products.
The buyer is responsible for canceling their subscription if they no longer wish to continue at the full retail price. Our policy does not include reimbursement, refunds, or chargebacks once the Terms and Conditions are accepted before purchase.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
Prometheus Volatility StopThe Prometheus Volatility Stop is an indicator designed to give you a moving risk metric along with a custom Moving Average cross. After a calculation of the annualized volatility for the specified lookback period we determine bullish or bearish from the moving averages and plot the Volatility Stop accordingly.
User Input:
A user can select from Hull Moving Average, Exponential Moving average, Simple Moving Average, the Moving Average used in RSI, and Weighted Moving Average. The default is Hull Moving Average and Exponential Moving average.
A user can also specify the lookback period. The default is 30.
A user may also turn off the plots for the Moving Averages.
The reason for this approach is to be more original from the traditional Volatility Stop.
Calculation:
The Historical Volatility is calculated by taking the standard deviation of the log returns for the specified period and then annualizing it.
hv = ta.stdev(math.log(close / close ), lkb) * math.sqrt(252/5)
Then the Volatility Stop is calculated as follows:
recent_max = ta.highest(close, lkb)
recent_min = ta.lowest(close, lkb)
hv_stop = ma_2 > ma_1 ? recent_max + hv : recent_min - hv
When the second selected moving average is greater than the first, which signals bearishness, the historical volatility gets added to the high of that period. When the moving averages signal bullish the historical volatility gets subtracted from the low of that period.
Here is an example on NASDAQ:ARM :
After the first crossover, bullish signal, price runs for some time. As we get higher and higher so does the Volatility Stop. At the highs before a bearish crossover the price hits and closes at the Volatility Stop. Providing what could be an exit from a strong run up.
Intra-day example on NASDAQ:QQQ :
We see that in the early bearish move price goes on to hit the Volatility Stop before the trend switches.
We also see that in the failed long. The price action throughout the rest of the day, while not providing in profit stop outs, do provide fine directional alerts.
All those examples have been done with the default settings. Upon changing Moving Average One to a WMA and Moving Average Two to an SMA, as well as the lookback to 75. We see this quickly can become a simple trend follower.
This is the perspective we aim to provide. We encourage traders to not follow indicators blindly. No indicator is 100% accurate. This one can give you a different perspective of price strength with volatility. We encourage any comments about desired updates or criticism!
Uptrick: DPO Signal & Zone Indicator
## **Uptrick: DPO Signal & Zone Indicator**
### **Introduction:**
The **Uptrick: DPO Signal & Zone Indicator** is a sophisticated technical analysis tool tailored to provide insights into market momentum, identify potential trading signals, and recognize extreme market conditions. It leverages the Detrended Price Oscillator (DPO) to strip out long-term trends from price movements, allowing traders to focus on short-term fluctuations and cyclical behavior. The indicator integrates multiple components, including a Detrended Price Oscillator, a Signal Line, a Histogram, and customizable alert levels, to deliver a robust framework for market analysis and trading decision-making.
### **Detailed Breakdown:**
#### **1. Detrended Price Oscillator (DPO):**
- **Purpose and Functionality:**
- The DPO is designed to filter out long-term trends from the price data, isolating short-term price movements. This helps in understanding the cyclical patterns and momentum of an asset, allowing traders to detect periods of acceleration or deceleration that might be overlooked when focusing solely on long-term trends.
- **Calculation:**
- **Formula:** `dpo = close - ta.sma(close, smaLength)`
- **`close`:** The asset’s closing price for each period in the dataset.
- **`ta.sma(close, smaLength)`:** The Simple Moving Average (SMA) of the closing prices over a period defined by `smaLength`.
- The DPO is derived by subtracting the SMA value from the current closing price. This calculation reveals how much the current price deviates from the moving average, effectively detrending the price data.
- **Interpretation:**
- **Positive DPO Values:** Indicate that the current price is higher than the moving average, suggesting bullish market conditions and a potential upward trend.
- **Negative DPO Values:** Indicate that the current price is lower than the moving average, suggesting bearish market conditions and a potential downward trend.
- **Magnitude of DPO:** Reflects the strength of momentum. Larger positive or negative values suggest stronger momentum in the respective direction.
#### **2. Signal Line:**
- **Purpose and Functionality:**
- The Signal Line is a smoothed average of the DPO, intended to act as a reference point for generating trading signals. It helps to filter out short-term fluctuations and provides a clearer perspective on the prevailing trend.
- **Calculation:**
- **Formula:** `signalLine = ta.sma(dpo, signalLength)`
- **`ta.sma(dpo, signalLength)`:** The SMA of the DPO values over a period defined by `signalLength`.
- The Signal Line is calculated by applying a moving average to the DPO values. This smoothing process reduces noise and highlights the underlying trend direction.
- **Interpretation:**
- **DPO Crossing Above Signal Line:** Generates a buy signal, suggesting that short-term momentum is turning bullish relative to the longer-term trend.
- **DPO Crossing Below Signal Line:** Generates a sell signal, suggesting that short-term momentum is turning bearish relative to the longer-term trend.
- **Signal Line’s Role:** Provides a benchmark for assessing the strength of the DPO. The interaction between the DPO and the Signal Line offers actionable insights into potential entry or exit points.
#### **3. Histogram:**
- **Purpose and Functionality:**
- The Histogram visualizes the difference between the DPO and the Signal Line. It provides a graphical representation of momentum strength and direction, allowing traders to quickly gauge market conditions.
- **Calculation:**
- **Formula:** `histogram = dpo - signalLine`
- The Histogram is computed by subtracting the Signal Line value from the DPO value. Positive values indicate that the DPO is above the Signal Line, while negative values indicate that the DPO is below the Signal Line.
- **Interpretation:**
- **Color Coding:**
- **Green Bars:** Represent positive values, indicating bullish momentum.
- **Red Bars:** Represent negative values, indicating bearish momentum.
- **Width of Bars:** Indicates the strength of momentum. Wider bars signify stronger momentum, while narrower bars suggest weaker momentum.
- **Zero Line:** A horizontal gray line that separates positive and negative histogram values. Crosses of the histogram through this zero line can signal shifts in momentum direction.
#### **4. Alert Levels:**
- **Purpose and Functionality:**
- Alert levels define specific thresholds to identify extreme market conditions, such as overbought and oversold states. These levels help traders recognize potential reversal points and extreme market conditions.
- **Inputs:**
- **`alertLevel1`:** Defines the upper threshold for identifying overbought conditions.
- **Default Value:** 0.5
- **`alertLevel2`:** Defines the lower threshold for identifying oversold conditions.
- **Default Value:** -0.5
- **Interpretation:**
- **Overbought Condition:** When the DPO exceeds `alertLevel1`, indicating that the market may be overbought. This condition suggests that the asset could be due for a correction or reversal.
- **Oversold Condition:** When the DPO falls below `alertLevel2`, indicating that the market may be oversold. This condition suggests that the asset could be poised for a rebound or reversal.
#### **5. Visual Elements:**
- **DPO and Signal Line Plots:**
- **DPO Plot:**
- **Color:** Blue
- **Width:** 2 pixels
- **Purpose:** To visually represent the deviation of the current price from the moving average.
- **Signal Line Plot:**
- **Color:** Red
- **Width:** 1 pixel
- **Purpose:** To provide a smoothed reference for the DPO and generate trading signals.
- **Histogram Plot:**
- **Color Coding:**
- **Green:** For positive values, signaling bullish momentum.
- **Red:** For negative values, signaling bearish momentum.
- **Style:** Histogram bars are displayed with varying width to represent the strength of momentum.
- **Zero Line:** A gray horizontal line separating positive and negative histogram values.
- **Overbought/Oversold Zones:**
- **Background Colors:**
- **Green Shading:** Applied when the DPO exceeds `alertLevel1`, indicating an overbought condition.
- **Red Shading:** Applied when the DPO falls below `alertLevel2`, indicating an oversold condition.
- **Horizontal Lines:**
- **Dotted Green Line:** At `alertLevel1`, marking the upper alert threshold.
- **Dotted Red Line:** At `alertLevel2`, marking the lower alert threshold.
- **Purpose:** To provide clear visual cues for extreme market conditions, aiding in the identification of potential reversal points.
#### **6. Trading Signals and Alerts:**
- **Buy Signal:**
- **Trigger:** When the DPO crosses above the Signal Line.
- **Visual Representation:** A "BUY" label appears below the price bar in the specified buy color.
- **Purpose:** Indicates a potential buying opportunity as short-term momentum turns bullish.
- **Sell Signal:**
- **Trigger:** When the DPO crosses below the Signal Line.
- **Visual Representation:** A "SELL" label appears above the price bar in the specified sell color.
- **Purpose:** Indicates a potential selling opportunity as short-term momentum turns bearish.
- **Overbought/Oversold Alerts:**
- **Overbought Alert:** Triggered when the DPO crosses below `alertLevel1`.
- **Oversold Alert:** Triggered when the DPO crosses above `alertLevel2`.
- **Visual Representation:** Labels "OVERBOUGHT" and "OVERSOLD" appear with distinctive colors and sizes to highlight extreme conditions.
- **Purpose:** To signal potential reversal points and extreme market conditions that may lead to price corrections or trend reversals.
- **Alert Conditions:**
- **DPO Cross Above Signal Line:** Alerts traders when the DPO crosses above the Signal Line, generating a buy signal.
- **DPO Cross Below Signal Line:** Alerts traders when the DPO crosses below the Signal Line, generating a sell signal.
- **DPO Above Upper Alert Level:** Alerts when the DPO is above `alertLevel1`, indicating an overbought condition.
- **DPO Below Lower Alert Level:** Alerts when the DPO is below `alertLevel2`, indicating an oversold condition.
- **Purpose:** To provide real-time notifications of significant market events, enabling traders to make informed decisions promptly.
### **Practical Applications:**
#### **1. Trend Following Strategies:**
- **Objective:**
- To capture and ride the prevailing market trends by entering trades that align with the direction of the momentum.
- **How to Use:**
- Monitor buy and sell signals generated by the DPO crossing the Signal Line. A buy signal suggests a bullish trend and a potential long trade, while a sell signal suggests a bearish trend and a potential short trade.
- Use the Histogram to confirm the strength of the trend. Expanding green bars indicate strong bullish momentum, while expanding red bars indicate strong bearish momentum.
- **Advantages:**
- Helps traders stay aligned with the market trend, increasing the likelihood of capturing substantial price moves.
#### **2. Reversal Trading:**
- **Objective:**
- To identify potential market reversals
by detecting overbought and oversold conditions.
- **How to Use:**
- Look for overbought and oversold signals based on the DPO crossing `alertLevel1` and `alertLevel2`. These conditions suggest that the market may be due for a reversal.
- Confirm reversal signals with the Histogram. A decrease in histogram bars (from green to red or vice versa) may support the reversal hypothesis.
- **Advantages:**
- Provides early warnings of potential market reversals, allowing traders to position themselves before significant price changes occur.
#### **3. Momentum Analysis:**
- **Objective:**
- To gauge the strength and direction of market momentum for making informed trading decisions.
- **How to Use:**
- Analyze the Histogram to assess momentum strength. Positive and expanding histogram bars indicate increasing bullish momentum, while negative and expanding bars suggest increasing bearish momentum.
- Use momentum insights to validate or question existing trading positions and strategies.
- **Advantages:**
- Offers valuable information about the market's momentum, helping traders confirm the validity of trends and trading signals.
### **Customization and Flexibility:**
The **Uptrick: DPO Signal & Zone Indicator** offers extensive customization options to accommodate diverse trading preferences and market conditions:
- **SMA Length and Signal Line Length:**
- Adjust the `smaLength` and `signalLength` parameters to control the sensitivity and responsiveness of the DPO and Signal Line. Shorter lengths make the indicator more responsive to price changes, while longer lengths provide smoother, less volatile signals.
- **Alert Levels:**
- Modify `alertLevel1` and `alertLevel2` to fit varying market conditions and volatility. Setting these levels appropriately helps tailor the indicator to different asset classes and trading strategies.
- **Color and Shape Customization:**
- Customize the colors and sizes of buy/sell signals, histogram bars, and alert levels to enhance visual clarity and align with personal preferences. This customization helps ensure that the indicator integrates seamlessly with a trader's charting setup.
### **Conclusion:**
The **Uptrick: DPO Signal & Zone Indicator** is a multifaceted analytical tool that combines the power of the Detrended Price Oscillator with customizable visual elements and alert levels to deliver a comprehensive approach to market analysis. By offering insights into momentum strength, trend direction, and potential reversal points, this indicator equips traders with valuable information to make informed decisions and enhance their trading strategies. Its flexibility and customization options ensure that it can be adapted to various trading styles and market conditions, making it a versatile addition to any trader's toolkit.
Change in State of Delivery (CISD) [LuxAlgo]The Change In State Of Delivery (CISD) indicator detects and displays Change in State Of Delivery, a concept related to market structures.
Users can choose between two different CISD detection methods. Various filtering options are also included to filter out less significant CISDs.
🔶 USAGE
A Change in State of Delivery (CISD) is a concept closely related to market structures, where price breaks a level of interest, confirming trends and their continuations from the resulting breakouts.
Unlike more traditional market structures which rely on swing points, CISDs rely on a persistent sequence of candles, using the sequence extremes as breakout levels.
CISDs are detected as follows:
Bullish: The price closes above the opening price of the first candle in a sequence of bearish candles (or its own opening price if it's the only candle).
Bearish: The price closes below the opening price of the first candle in a sequence of bullish candles (or its own opening price if it's the only candle).
If a newly detected CISD aligns with the indicator's current established trend, this confirms a trend continuation (represented with a dashed line).
On the other hand, if a newly detected CISD is in the opposite direction to the detected trend it can confirm a trend reversal (represented with a solid line).
🔹 Liquidity Sweep Detection Method
Using Liquidity Sweeps to update CISD breakout levels allows us to obtain less frequent and more relevant levels that are less sensitive to noisy price variations.
Sweeps are obtained from detected Swing Points , with a higher Swing Length allowing us to obtain longer-term swing levels and potentially more detected sweeps from a specific level over time.
Note: The 'Swing Length' setting is only applicable on the Liquidity Sweep Detection Method and will only change the Liquidity levels.
A Liquidity Sweep is valid when the price reaches an important liquidity level , after which the price closes below/above this level.
Bullish scenario: The price goes below a previous unbroken Swing Low but closes above.
Bearish scenario: The price goes above a previous unbroken Swing High but closes below.
After a Liquidity Sweep has been detected, the last level of importance acts as support/resistance . Breaking this level in the other direction changes the state of delivery .
Users must keep observing the price and significant levels, as highlighted by the white rectangle in the above example.
🔹 CISD Filtering
Users can adjust the following two settings:
Minimum CISD Duration: The minimum length of the 'CISD' line
Maximum Swing Validity: The maximum length of the 'CISD' line; potential CISD lines that aren't broken are deleted when exceeding the limit.
The chart can get cluttered when the Minimum CISD Duration is low. Users could focus on a switch in trend (first solid line CISD ), where the following dashed CISD lines can be seen as extra opportunities/confirmations.
🔶 DETAIL
🔹 Using Different Timeframes
When an important liquidity level (Previous Swing high/low, FVG, etc.) is reached on the higher timeframe, the user can move to a lower timeframe to check whether there is a CISD .
Above example:
The high of the last candle breaches a liquidity level (previous Swing High). The opening price of the last candle acts as a trigger/confirmation level.
A confirmed CISD is seen in a lower timeframe, just after this Liquidity Sweep. This could be an early opportunity.
Later, a confirmed CISD on the higher timeframe is established.
🔶 SETTINGS
Detection Method: Classic or Liquidity Sweep
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Minimum CISD Duration: The minimum length of the CISD line
Maximum Swing Validity: The maximum length of the CISD line; potential CISD lines that aren't broken are deleted when exceeding the limit.
Pace ProOverview
The Pace Pro indicator is a robust trend-following tool designed for versatile application across various timeframes and markets, including stocks, forex, futures and cryptocurrencies. It provides traders with "bull" and "bear" signals, take profit (TP) signals, and volume spike indications. This indicator aims to help traders identify potential trading opportunities through trends, reversals and price exhaustion.
Key Features
Bull and Bear Signals: Pace Pro generates green "bull" and red "bear" signals based on a trend strength score derived from an aggregation of components.
Take Profit (TP) Signals: The indicator plots black "TP" signals at areas of price exhaustion.
Volume Spike Indicators: The indicator colors candles to signify high volume spikes—light green for high bullish volume and light red for high bearish volume.
Price Clouds: The indicator includes three types of Bollinger Band clouds. These clouds help visualize exhaustion and volatility, providing traders with multiple perspectives on market dynamics.
How it works:
Trend Strength: This score is calculated using a proprietary formula that assesses the magnitude and direction of market movement with standard deviation and regression analysis. Standard deviation computes the average price over a specified period and then calculates the standard deviation of prices from this average. A linear regression is performed on the closing prices over a specified period. The slope of the regression line is used to identify the trend direction, and the standard deviation is used to assess trend stability and filter out noise, working together to clearly identify direction and robustness. Bull/Bear signals are produced based on trend strength reaching specific thresholds, configurable in the settings.
Overbought/Oversold Strength: This strength identifies price exhaustion using a unique formula that aggregates values from several indicators such as RVI, RSI and CCI. RVI captures price trends, RSI measures momentum, and CCI identifies price deviations from the mean, providing a comprehensive view of market conditions. Take profit signals are plotted at points of high price exhaustion, indicating optimal exit prices.
Volume Analysis: Volume spikes are identified and highlighted with colored candles using an ATR calculation that pinpoints outliers in volume. This is calculated using the math.abs function, identifying volume spikes in the last 14 bars. Volume spike candle size can be configured in settings to the user's liking.
Bollinger Band Clouds: The indicator employs Bollinger Band clouds based on WMA, VWMA, and EMA to provide a comprehensive view of market volatility and trend strength. WMA responds quickly to price changes, VWMA incorporates volume, and EMA smooths out data, offering a unique and adaptive perspective on market conditions. This combination is used to provide a unique perspective on market volatility, utilizing different moving averages. These clouds adapt to price fluctuations and offer visual cues to enhance trend analysis.
Utility
This tool provides traders with valuable information for trend-following and reversal strategies across different timeframes. It helps traders by:
-Generating "bull" and "bear" signals to indicate potential long, short and exit points. The precise calculation methods and statistical components used in deriving the trend strength score are designed to filter out market noise and provide a clear indication of prevailing market trends.
-Providing "TP" signals at areas of price exhaustion, areas where taking profit is optimal. These also serve as potential reversal points in the market as they incorporate reversion analysis techniques.
-Highlighting high volume spikes with colored candles to indicate significant market activity. These volatile candles can indicate a significant and rapid surge in price.
-Offering visual insights through Bollinger Band clouds, which help traders assess overbought and oversold conditions on a broad scale. These aid in visualizing potential reversals in the market.
Rationale and Benefits of Component Combination
The combination of trend strength, overbought/oversold strength, volume analysis, and Bollinger Band clouds provides a holistic approach to market analysis and allows users to use various techniques of trading analysis to make sound trading decisions. Each component serves a distinct purpose:
-Trend Strength identifies and confirms the direction and magnitude of market trends, offering clear bull and bear signals. A trend score is calculated to clearly identify where price is strongly trending and where it is quite weak. This customizable feature allows traders to configure this indicator to their liking by only plotting signals when the trend reaches a desired threshold.
-Overbought/Oversold Strength pinpoints areas of price exhaustion, providing crucial take profit and reversal conditions in the market. I combine RSI, RVI, and CCI to provide a more robust reversion score. My rationale for this is to leverage data from multiple indicators, to ensure a comprehensive assessment of price exhaustion rather than relying on a single source.
-Volume Analysis highlights significant market activity, giving traders insights into potential price movements. This feature is included to provide users with a visual representation of price pumps/dumps, that can aid in trading decisions in combination with entry and exit signals.
-Bollinger Band Clouds offer a visual representation of market volatility and trend strength, enhancing the overall analytical framework. Bands were calculated using a mixture of WMA, VWMA, and EMA to diversify data and to bring variety to its display. This can enhance its use as it does not use a single data source and relies on multiple.
Uniqueness:
This indicator stands out due to its innovative integration of standard deviation and regression analysis, offering traders a unique and comprehensive market analysis tool. By combining standard deviation to measure volatility and filter out noise with regression analysis to identify trend direction and strength, it provides insightful trend signals that help traders make informed decisions. This indicator's versatility is enhanced by its customizable settings, allowing traders to adapt it to their specific needs and trading styles with the trend sensitivity setting. Combining RSI, RVI, and CCI for reversion and exit points is unique as it integrates multiple perspectives on price momentum and volatility, providing a more comprehensive assessment of price exhaustion than using any single indicator. Combining WMA, EMA, and VWMA as bands is beneficial and unique as it blends different averaging methods to offer a more nuanced and adaptive view of market volatility and trend strength.
By integrating these components, it delivers a multifaceted tool that addresses various aspects of market analysis, making it a valuable asset for traders seeking to improve their decision-making process.
Disclaimer
Trading involves substantial risk and is not suitable for every investor. This indicator is designed to assist in decision-making but does not guarantee profits or prevent losses. Always conduct your own research and consider seeking advice from a financial professional.
Mystic Pulse [CHE]Mystic Pulse - A Non-Lagging Trend Indicator
Introduction
In the world of trading, identifying trends accurately and timely is crucial for successful decision-making. The saying "The Trend is Your Friend" encapsulates this principle, emphasizing the importance of riding the prevailing market trend. The Mystic Pulse indicator is designed to help traders do exactly that—detect trends early and follow them with confidence.
This presentation will walk you through how the Mystic Pulse indicator functions, its advantages, and how it can be a powerful tool in your trading arsenal.
Key Features of Mystic Pulse
Non-Lagging Signals: Unlike traditional indicators that often lag the market, Mystic Pulse generates trend signals in real-time, ensuring you are always in sync with the current market direction.
Adaptive Smoothing: The indicator employs a smoothing factor that dynamically adjusts based on recent price action, reducing noise and focusing on significant market movements.
Directional Movement Analysis: By calculating the directional movement index (DI+ and DI-) with a unique smoothing approach, the indicator identifies whether bulls or bears are in control.
Trend Counting Logic: The indicator counts consecutive positive and negative trend signals, providing a clear visual representation of the market’s direction.
Customizable Candle Colors: For better visual clarity, the indicator allows for customization of candle colors, highlighting neutral, bullish, or bearish candles based on trend strength.
Understanding the Indicator
1. Directional Movement and ADX Calculation
The Mystic Pulse uses a modified ADX calculation known as ZLAG ADX. It assesses true range, directional movement (both positive and negative), and smoothes these values over a specified length. This helps in capturing the essence of market trends without lag:
True Range (TR): Measures market volatility by comparing the high-low range to the previous close.
Directional Movement: Determines whether bulls (DI+) or bears (DI-) are gaining strength.
These components are then smoothed using a custom formula that adapts to recent price movements, ensuring that the signals remain relevant and timely.
2. Trend Counting Mechanism
The heart of Mystic Pulse is its trend counting logic:
Positive Trend Count: Increases when DI+ shows strengthening bullish signals.
Negative Trend Count: Increases when DI- indicates stronger bearish control.
Total Trend Count: Reflects the dominant trend by comparing positive and negative counts.
This counting mechanism ensures that the indicator is always aware of the current market bias, updating in real-time.
3. Visualization and Signal Generation
The indicator provides visual cues through color-coded plots:
Green Plot: Indicates an ongoing uptrend (positive trend count is higher).
Red Plot: Signals a downtrend (negative trend count is higher).
Neutral Candles: Optionally highlighted when neither bulls nor bears dominate, offering a clearer view of indecisive market conditions.
Application and Strategy
The Mystic Pulse indicator is ideal for traders who prefer trend-following strategies. Here's how you can apply it effectively:
Entry Points: Enter trades when the trend count strongly favors one direction, indicated by consecutive green (bullish) or red (bearish) plots.
Exit Points: Consider exiting when the opposite trend starts to gain traction, signaled by a change in the dominant color.
Risk Management: Use the neutral candle display to avoid trades in uncertain market conditions, thereby reducing risk.
Conclusion
The Mystic Pulse indicator is a sophisticated tool that helps traders stay aligned with market trends, offering non-lagging, adaptive signals. Its design reflects the trading philosophy "The Trend is Your Friend," enabling you to follow the market's lead with confidence.
By incorporating this indicator into your trading strategy, you can enhance your ability to identify and capitalize on emerging trends, minimizing lag and maximizing potential returns.
Q&A
If you have any questions or would like to see a live demonstration of the Mystic Pulse in action, feel free to ask.
Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (CHE) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Best regards Chervolino
Follow the Volumes / Path of Least ResistanceThis indicator tracks price movements following significant volume increases. It identifies volume spikes by comparing recent average volume to a longer-term average. After a spike, it monitors price changes over a specified number of bars.
In plain English, the point of this is to “let the market show it’s hand”, vs. other common and preemptive methods of execution.
You can think of it as a better version of a volume up/down indicator which only uses opening and closing prices to identify "bullish" or "bearish" behavior.
To optimize this, I used a very small range chart, hence the small values. You will need to experiment with other values, ESPECIALLY the % change. If you do not do this, the indicator will generate a lot of noise.
The indicator has three main conditions:
1. Significant price increase, bullish: A green triangle appears below the bar.
2. Significant price decrease, bearish: A red triangle appears above the bar.
3. Price change within thresholds: A fuschia triangle appears, pointing up or down based on the overall (short-term) trend. This is common behavior during trends. A spike in volume will appear, and price simply does not budge. Volume/price is essentially declaring a new found value, in which case prices tend to follow the impulse movement (see market profile theory).
The color scheme is intuitive: green for positive moves, red for negative, and fuschia for subtle changes following the existing trend. Blue circles mark volume spikes for reference, which I recommend using only for reference, and disabling to remove unneeded noise.
Because this indicator "lags" in the sense of waiting for the market to show its hand, best opportunities are typically found on retests of the volume spikes themselves. On drives, however, the market will unlikely pullback, which (in my view) is one of its best use cases.
Bottom line, you will need to adjust the parameters to the instrument. This is not a plug and play solution, but far more accurate than those which are.
Settings, and what they mean:
Volume spike average bars: length for identification of high volumes. On smaller timeframes, such as my optimization period, you’ll want several bars. But on something such as a 5 minute or higher, only 1.
Lookback period: for identification of high volumes.
Volume Increase Threshold (%): % which constitutes a jump in volume
Bars After Spike: How long to wait for ensuing price movement. Also sensitive to the timeframe you are using. 1-2 recommended for 5m+, more for smaller range-based.
Negative Price Change Threshold (%): For red arrows (Volume + Price Movement)
Positive Price Change Threshold (%): Inverse of above
WMA Period for Stability Function: When price spikes on high volumes but does not move (price is “trapped” between negative and positive price change thresholds) the indicator marks direction (in fuchsia) in the direction of the underlying trend. This short-term MA identifies that trend.
Finally, because this indicator is volume-based, I recommend using primary instruments only and discourage its use on CFDs or other firm-generated instruments. Just use the primary. I would ignore signals off the open, which is subject to erroneous behavior. Other methods are far more effective for that.
This script is purposely uncomplicated. Feel free to play with settings and change code to suit your needs.
SDMA (Slope Degree Moving Average)This Pine Script indicator is designed to provide traders with a comprehensive view of market conditions by combining moving averages, VWAP (Volume Weighted Average Price), and custom distance signals. It offers a clean and professional table interface to monitor trend strength, distance from moving averages, and potential trade signals.
Key Features
Moving Averages and VWAP:
The indicator calculates five moving averages (MAs) of user-defined lengths, providing a multi-faceted view of market trends.
VWAP is included to help identify overall market sentiment. VWAP is commonly used by institutional traders to measure the average price at which a security has traded throughout the day, taking into account both price and volume.
Slope Degree Calculation:
The indicator calculates the slope degree of each moving average. The slope is a measure of the moving average's angle, indicating the strength and direction of the trend.
Steeper slopes (positive or negative) indicate stronger trends, while flatter slopes suggest weaker or consolidating trends.
Trend Strength Analysis:
For each moving average, the indicator provides a trend strength rating based on the calculated slope. It categorizes trends as "Strong Bullish," "Moderate Bullish," "Flat," "Moderate Bearish," or "Strong Bearish."
The VWAP trend strength is shown as "Bullish" if the current price is above the VWAP and "Bearish" if below.
Distance Signal (DS):
The indicator includes a user-defined threshold for distance signals. This threshold determines whether the price is "Near" the moving average or significantly above/below it, indicated by "DS" (Distance Signal).
Traders can adjust the threshold to suit their trading strategy. For instance, a higher threshold might be used in volatile markets to identify meaningful deviations from the moving averages.
Table Display:
The indicator displays all relevant data in a clean, minimalistic table format, showing the moving average lengths, slope degrees, trend strengths, minutes since the last reversal, distance from the moving average, and distance signals.
The table also includes a row for VWAP, making it easy to compare the current price with this key level.
Trade Signal:
At the bottom of the table, a summary "Trade Signal" is displayed, showing either "Bullish Signal" or "Bearish Signal" based on the overall trend indications from the moving averages.
How to Use This Indicator
Identifying Trends: Use the slope degree and trend strength indicators to determine the direction and strength of the trend. Steeper slopes and stronger trend ratings suggest stronger trends, ideal for trend-following strategies.
VWAP Analysis: The VWAP row helps to identify whether the market is generally bullish or bearish. A price above VWAP typically suggests buying interest, while a price below suggests selling pressure.
Distance Signals: The DS column alerts traders when the price is significantly away from a moving average, which could signal potential overbought or oversold conditions, useful for mean reversion strategies.
Trade Signal: The final "Trade Signal" offers a quick summary of the overall market condition, combining the insights from all moving averages.
Customization
Moving Averages: Adjust the lengths of the five moving averages to match your trading strategy or the specific asset you're analyzing.
Distance Threshold: Set the distance threshold to control the sensitivity of the DS signals. A lower threshold will generate more signals, while a higher threshold will highlight only significant deviations.
This indicator is a versatile tool that can be used in various trading strategies, whether you're a trend follower, mean reversion trader, or someone looking to identify key levels like VWAP. Its clear, table-based interface ensures that all the critical data is available at a glance, allowing for quick decision-making in fast-moving markets.
Internal/External Market Structure [UAlgo]The "Internal/External Market Structure " indicator is a tool designed to identify and visualize internal and external market structure based on swing highs and lows. It helps traders understand short-term (internal) and long-term (external) price behavior.
🔶 What are ChoCH and BoS?
Change of Character (ChoCH)
Change of character refers to the reversal of market trend either from bullish to bearish or bearish to bullish. ChoCH is also a break of market structure but in opposite direction.
If market is in bullish trend but it breaks it previous (higher) low and makes a lower low, it will be termed a “bearish change of character” as price changed its trend from bullish to bearish.
Like wise if price is in bearish trend and it breaks its previous (lower) high making a higher high it will be marked as “bullish change of character” as price changed its trend from bearish to bullish.
Break of Structure (BoS)
When price breaks its structure in direction of previous trend its called break of structure (BoS). So its a trend continuation pattern.
As you know in bullish trend price makes higher highs. Each time when price break a previous high and marks a new high its known as bullish break of structure.
But in bearish trend price makes lower lows so every time when price breaks previous low and makes a new low it is called as bearish break of structure.
🔶 Key Features
Internal Swing Length: Allowing for fine-tuning of sensitivity to smaller, more frequent market movements.
External Swing Length: Focusing on capturing broader market trends.
The indicator differentiates between internal and external market structures, using different styles and colors to represent each. Internal structures are shown with solid lines, while external structures use dashed lines, providing clear visual cues.
Internal Market Structure:
The internal market structure focuses on shorter-term swings and is useful for identifying minor trend changes and short-term price movements. Breaks of internal swing highs or lows can indicate potential changes in the market's direction or momentum. The labels "CHoCH" and "BoS" help distinguish between changes in character and break of structure events, respectively.
External Market Structure:
The external market structure captures larger, more significant market moves. It is particularly useful for identifying major trend changes and key support and resistance levels. The dashed lines and corresponding labels "CHoCH+" and "BoS+" indicate more substantial shifts in market sentiment.
For BoS (Break of Structure):
For ChoCH (Change of Character):
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Special Engulfing BarsExplanation of the Code:
Bullish Engulfing:
low <= low : The low of the current candle is lower than or equal to the low of the previous candle.
close >= close : The close of the current candle is higher than or equal to the close of the previous candle.
close > open: The current candle is bullish.
open > close : The previous candle is bearish.
Bearish Engulfing:
high >= high : The high of the current candle is higher than or equal to the high of the previous candle.
close <= close : The close of the current candle is lower than or equal to the close of the previous candle.
close < open: The current candle is bearish.
open < close : The previous candle is bullish.
Plot shape : Displays a signal on the chart when a bullish engulfing pattern (green color) or a bearish engulfing pattern (red color) is detected.
Alert condition : Sets an alert to send a notification when a bullish or bearish engulfing pattern is detected.
Algo Market Structure (Nephew_Sam_)This indicator takes a different approach into reading market structure.
The key difference between this logic compared to the pivot logic is; we read highs and lows based on bullish and bearish candles. Ie:
Pivot method - highest/lowest point in previous and next X candles
Algo method - Bullish candle(s) followed by a bearish candle and vice versa
More explanation in each of the key feature below.
Here are all of the concepts and features included in the indicator:
Timeframe
- You can select the timeframe of the indicator (has to be higher or equal to the chart timeframe)
- Min option is the minimum timeframe to show the indicator. If you show daily structure on 1m chart, you can run into a timeout error so keep it close to the chart timeframe.
- Recommended timeframe for no bugs is the current chart timeframe.
Structure
The structure is calculated using a combination of candle patterns (ie. pivot top = Bullish x3-Bearish-Bullish) and marks out circle labels after a new HH or LL
Structure high = 1 or more consecutive bull candles followed by a bear candle
Structure low = 1 or more consecutive bear candles followed by a bull candle
Structure direction change = when the second previous H/L is taken out (TLQ)
ILQ - Inducement Liquidity concept
In a bearish example this is the most recent structure high.
TLQ
In a bearish example this is the second most recent structure high.
This is also what helps define our structure direction. If broken, the structure changes (bullish / bearish) and plots a bos line.
EPA - Efficient price action
When price returns back to previous structure point after bos. Similar to an ICT breaker.
Note: It might be a little, just a little buggy if you have set your indicator timeframe to higher than the chart timeframe.
Extremes Zones
The final zone to find a trade entry before a structural shift. These are wick of the TLQ candle. This is select the wick of the current timeframe candle even if indicator is set to higher timeframe.
MSU
Tiny arrow labels at the bottom of your chart. Plots the arrows when price is between an ILQ and TLQ
VTA
Valid trading range. This is when we get some sort of a structure pattern. Plots a box when price induces previous structure point and then breaks structure in the opposite direction. Here are the patterns:
Bull VTA - HH-LL-HH
Bear VTA - LL-HH-LL
Bull Strict VTA - LL-HH-LL-HH
Bear Strict VTA - HH-LL-HH-LL
Bar colors
Changes the bar color based on the structure to all green/red.
Note: for this to work, you will have to right click on the indicator, then under visual order select 'bring to front'
Table
This table plots the structure stats/data
1. If structure is bullish / bearish
2. If price is efficient or not
3. If there is an MSU
4. If price is inside a VTA
Disclaimer: This indicator is fully written from scratch by me, the idea behind the concepts come from AlgoHub material on Youtube. Do NOT use this code for reselling purposes and if anything is created using any part of this code, the source code should be public.
Crab Harmonic Pattern [TradingFinder] Harmonic Chart patterns🔵 Introduction
The Crab pattern is recognized as a reversal pattern in technical analysis, utilizing Fibonacci numbers and percentages for chart analysis. This pattern can predict suitable price reversal areas on charts using Fibonacci ratios.
The structure of the Crab pattern can manifest in both bullish and bearish forms on the chart. By analyzing this structure, traders can identify points where the price direction changes, which are essential for making informed trading decisions.
The pattern's structure is visually represented on charts as shown below. To gain a deeper understanding of the Crab pattern's functionality, it is beneficial to become familiar with its various harmonic forms.
🟣 Types of Crab Patterns
The Crab pattern is categorized into two types based on its structure: bullish and bearish. The bullish Crab is denoted by the letter M, while the bearish Crab is indicated by the letter W in technical analysis.
Typically, a bullish Crab pattern signals a potential price increase, whereas a bearish Crab pattern suggests a potential price decrease on the chart.
The direction of price movement depends significantly on the price's position within the chart. By identifying whether the pattern is bullish or bearish, traders can determine the likely direction of the price reversal.
Bullish Crab :
Bearish Crab :
🔵 How to Use
When trading using the Crab pattern, crucial parameters include the end time of the correction and the point at which the chart reaches its peak. Generally, the best time to buy is when the chart nears the end of its correction, and the best time to sell is when it approaches the peak price.
As we discussed, the end of the price correction and the time to reach the peak are measured using Fibonacci ratios. By analyzing these levels, traders can estimate the end of the correction in the chart waves and select a buying position for their stock or asset upon reaching that ratio.
🟣 Bullish Crab Pattern
In this pattern, the stock price is expected to rise at the pattern's completion, transitioning into an upward trend. The bullish Crab pattern usually begins with an upward trend, followed by a price correction, after which the stock resumes its upward movement.
If a deeper correction occurs, the price will change direction at some point on the chart and rise again towards its target price. Price corrections play a critical role in this pattern, as it aims to identify entry and exit points using Fibonacci ratios, allowing traders to make purchases at the end of the corrections.
When the price movement lines are connected on the chart, the bullish Crab pattern resembles the letter M.
🟣 Bearish Crab Pattern
In this pattern, the stock price is expected to decline at the pattern's completion, leading to a strong downward trend. The bearish Crab pattern typically starts with a price correction in a downward trend and, after several fluctuations, reaches a peak where the direction changes downward, resulting in a significant price drop.
This pattern uses Fibonacci ratios to identify points where the price movement is likely to change direction, enabling traders to exit their positions at the chart's peak. When the price movement lines are connected on the chart, the bearish Crab pattern resembles the letter W.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
