RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies.
The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions.
💎 FEATURES
RSI Moving Average
The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA).
The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average.
RSI Divergence
RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend.
Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups.
RSI Sweep
RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized.
RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal.
(Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal)
🔎 BREAKDOWN
RSI Moving Average
How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style.
Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends.
RSI Divergence
How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence).
How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence).
Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum.
RSI Sweep
How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI.
Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase.
⚙️ USAGES
Divergence + Sweep
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep.
Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade.
Sweep + MA Cross
This is an example of combining Devergence & Sweep in BTCUSDT (1 hour)
Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA.
The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Indicators and strategies
Pi Cycle Top & Bottom OscillatorThis TradingView script implements the Pi Cycle Top & Bottom Oscillator, a technical indicator designed to identify potential market tops and bottoms using moving average relationships. Here's a detailed breakdown:
Indicator Overview
Purpose: The indicator calculates an oscillator based on the ratio of a 111-day simple moving average (SMA) to double the 350-day SMA. It identifies potential overbought (market tops) and oversold (market bottoms) conditions.
Visualization: The oscillator is displayed in a standalone pane with dynamic color coding to represent different market conditions.
Inputs
111-Day Moving Average Length (length_111): Adjustable parameter for the short-term moving average. Default is 111 days.
350-Day Moving Average Length (length_350): Adjustable parameter for the long-term moving average. Default is 350 days.
Overheat Threshold (upper_threshold): Percentage level above which the market is considered overheated. Default is 100%.
Cooling Down Threshold (lower_threshold): Percentage level below which the market is cooling down. Default is 75%.
Calculation
Moving Averages:
111-day SMA of the closing price.
350-day SMA of the closing price.
Double the 350-day SMA (
𝑚
𝑎
_
2
_
350
=
𝑚
𝑎
_
350
×
2
ma_2_350=ma_350×2).
Oscillator:
Ratio of the 111-day SMA to double the 350-day SMA, expressed as a percentage:
oscillator
=
𝑚
𝑎
_
111
𝑚
𝑎
_
2
_
350
×
100
oscillator=
ma_2_350
ma_111
×100
Market Conditions
Overheated Market (Potential Top): Oscillator >= Overheat Threshold (100% by default). Highlighted in red.
Cooling Down Market (Potential Bottom): Oscillator <= Cooling Down Threshold (75% by default). Highlighted in green.
Normal Market Condition: Oscillator is between these thresholds. Highlighted in blue.
Visual Features
Dynamic Oscillator Plot:
Color-coded to indicate market conditions:
Red: Overheated.
Green: Cooling down.
Blue: Normal condition.
Threshold Lines:
Red Dashed Line: Overheat Threshold.
Green Dashed Line: Cooling Down Threshold.
White Dashed Line: Additional high-value marker at 30 for reference.
Alerts
Overheat Alert: Triggers when the oscillator crosses the overheat threshold, signaling a potential market top.
Cooling Down Alert: Triggers when the oscillator crosses the cooling down threshold, signaling a potential market bottom.
Use Case
This script is particularly useful for traders seeking early signals of market reversals. The thresholds and dynamic color coding provide visual cues and alerts to aid decision-making in identifying overbought or oversold conditions.
Macd and RSI % Change Signals Devis'SoLong Signal Strategy
RSI-Based Long Signals:
A long signal is triggered when the percentage change in RSI of the close price crosses over thresholds like 10 or 20.
Similarly, a long signal is triggered when the percentage change in RSI of the low price crosses over 20.
MACD-Based Long Signals:
A long signal is triggered when the MACD, its signal line, or the midpoint of the two crosses over thresholds such as 2, 3, 4, or 5.
When a long signal is triggered, the low of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of support.
Short Signal Strategy
RSI-Based Short Signals:
A short signal is triggered when the percentage change in RSI of the low price crosses under -20.
Similarly, a short signal is triggered when the percentage change in RSI of the close price crosses under thresholds like -10 or -20.
MACD-Based Short Signals:
A short signal is triggered when the MACD, its signal line, or the midpoint of the two crosses under thresholds such as -2, -3, -4, or -5.
When a short signal is triggered, the high of the corresponding candle is recorded as the "pullback level." This pullback level is displayed on the chart to help identify potential areas of resistance.
Visualization
Signals:
Long signals are plotted as green upward triangles below the price bars.
Short signals are plotted as red downward triangles above the price bars.
Pullback Levels:
Long pullback levels are plotted as a green line below the price.
Short pullback levels are plotted as a red line above the price.
Alerts
Alerts are defined for specific signals, allowing traders to receive notifications when important levels are crossed, such as:
Long signal based on RSI or MACD changes.
Short signal based on RSI or MACD changes.
Monthly Performance by YearYıllar boyunca aylık ısı haritası
Tüm zamanların zirveye olan uzaklık
Tablo gösterimlerini kapat - aç
Etiket gösterimini kapat aç
___________________________________________
Monthly heatmap over the years
Distance to all-time peak
Close - open table display
Close label display open
EMA (Exponential Moving Avarage) Performance6 EMA değerini dilediğiniz gibi değiştirin
Hangi EMA'nın grafikte görüneceğini belirleyin
EMA değerinin fiyata olan uzaklığını tabloda görün
MFT değerini görün
Tabloyu açın yafa kapatın
____________________________________________
6 Change the EMA value as you wish
Determine which EMA will appear on the chart
See the distance of the EMA value from the price on the chart
See the MFT value
Open the chart and close it
[EmreKb] Santa Clause🎅 Ho Ho Ho! Santa Claus on Your Chart! 🎅
Bring the holiday spirit to your charts with this special Pine Script indicator! Add a cheerful Santa Claus drawing to your charts and celebrate the most wonderful time of the year. 🎄✨
This indicator is purely for fun and designed to spread joy and festive vibes within the Pine Script community. Whether you’re a charting enthusiast or just looking to embrace the holiday cheer, this indicator brings the magic of Santa Claus directly to your charts.
Multi SMA EMA VWAP1. Moving Average Crossover
This is one of the most common strategies with moving averages, and it involves observing crossovers between EMAs and SMAs to determine buy or sell signals.
Buy signal: When a faster EMA (like a short-term EMA) crosses above a slower SMA, it can indicate a potential upward movement.
Sell signal: When a faster EMA crosses below a slower SMA, it can indicate a potential downward movement.
With 4 EMAs and 5 SMAs, you can set up crossovers between different combinations, such as:
EMA(9) crosses above SMA(50) → buy.
EMA(9) crosses below SMA(50) → sell.
2. Divergence Confirmation Between EMAs and SMAs
Divergence between the EMAs and SMAs can offer additional confirmation. If the EMAs are pointing in one direction and the SMAs are still in the opposite direction, it is a sign that the movement could be stronger and continue in the same direction.
Positive divergence: If the EMAs are making new highs while the SMAs are still below, it could be a sign that the market is in a strong trend.
Negative divergence: If the EMAs are making new lows and the SMAs are still above, you might consider that the market is in a downtrend or correction.
3. Using EMAs as Dynamic Support and Resistance
EMAs can act as dynamic support and resistance in strong trends. If the price approaches a faster EMA from above and doesn’t break it, it could be a good entry point for a long position (buy). If the price approaches a slower EMA from below and doesn't break it, it could be a good point to sell (short).
Buy: If the price is above all EMAs and approaches the fastest EMA (e.g., EMA(9)), it could be a good buy point if the price bounces upward.
Sell: If the price is below all EMAs and approaches the fastest EMA, it could be a good sell point if the price bounces downward.
4. Combining SMAs and EMAs to Filter Signals
SMAs can serve as a trend filter to avoid trading in sideways markets. For example:
Bullish trend condition: If the longer-term SMAs (such as SMA(100) or SMA(200)) are below the price, and the shorter EMAs are aligned upward, you can look for buy signals.
Bearish trend condition: If the longer-term SMAs are above the price and the shorter EMAs are aligned downward, you can look for sell signals.
5. Consolidation Zone Between EMAs and SMAs
When the price moves between EMAs and SMAs without a clear trend (consolidation zone), you can expect a breakout. In this case, you can use the EMAs and SMAs to identify the direction of the breakout:
If the price is in a narrow range between the EMAs and SMAs and then breaks above the fastest EMA, it’s a sign that an upward trend may begin.
If the price breaks below the fastest EMA, it could indicate a potential downward trend.
6. "Golden Cross" and "Death Cross" Strategy
These are classic strategies based on crossovers between moving averages of different periods.
Golden Cross: Occurs when a faster EMA (e.g., EMA(50)) crosses above a slower SMA (e.g., SMA(200)), which suggests a potential bullish trend.
Death Cross: Occurs when a faster EMA crosses below a slower SMA, which suggests a potential bearish trend.
Additional Recommendations:
Combining with other indicators: You can combine EMA and SMA signals with other indicators like the RSI (Relative Strength Index) or MACD (Moving Average Convergence/Divergence) for confirmation and to avoid false signals.
Risk management: Always use stop-loss and take-profit orders to protect your capital. Moving averages are trend-following indicators but don’t guarantee that the price will move in the same direction.
Timeframe analysis: It’s recommended to use different timeframes to confirm the trend (e.g., use EMAs on hourly charts along with SMAs on daily charts).
VWAP
1. VWAP + EMAs for Trend Confirmation
VWAP can act as a trend filter, confirming the direction provided by the EMAs.
Buy Signal: If the price is above the VWAP and the EMAs are aligned in an uptrend (e.g., short-term EMAs are above longer-term EMAs), this indicates that the trend is bullish and you can look for buy opportunities.
Sell Signal: If the price is below the VWAP and the EMAs are aligned in a downtrend (e.g., short-term EMAs are below longer-term EMAs), this suggests a bearish trend and you can look for sell opportunities.
In this case, VWAP is used to confirm the overall trend. For example:
Bullish: Price above VWAP, EMAs aligned to the upside (e.g., EMA(9) > EMA(50) > EMA(200)), buy.
Bearish: Price below VWAP, EMAs aligned to the downside (e.g., EMA(9) < EMA(50) < EMA(200)), sell.
2. VWAP as Dynamic Support and Resistance
VWAP can act as a dynamic support or resistance level during the day. Combining this with EMAs and SMAs helps you refine your entry and exit points.
Support: If the price is above VWAP and starts pulling back to VWAP, it could act as support. If the price bounces off the VWAP and aligns with bullish EMAs (e.g., EMA(9) crossing above EMA(50)), you can consider entering a buy position.
Resistance: If the price is below VWAP and approaches VWAP from below, it can act as resistance. If the price fails to break through VWAP and aligns with bearish EMAs (e.g., EMA(9) crossing below EMA(50)), it could be a good signal for a sell.
HPDR Bands IndicatorThe HPDR Bands indicator is a customizable tool designed to help traders visualize dynamic price action zones. By combining historical price ranges with adaptive bands, this script provides clear insights into potential support, resistance, and midline levels. The indicator is well-suited for all trading styles, including trend-following and range-bound strategies.
Features:
Dynamic Price Bands: Calculates price zones based on historical highs and lows, blending long-term and short-term price data for responsive adaptation to current market conditions.
Probability Enhancements: Includes a probability plot derived from the relative position of the closing price within the range, adjusted for volatility to highlight potential price movement scenarios.
Fibonacci-Like Levels: Highlights key levels (100%, 95%, 88%, 78%, 61%, 50%, and 38%) for intuitive visualization of price zones, aiding in identifying high-probability trading opportunities.
Midline Visualization: Displays a midline that serves as a reference for price mean reversion or breakout analysis.
How to Use:
Trending Markets: Use the adaptive upper and lower bands to gauge potential breakout or retracement zones.
Range-Bound Markets: Identify support and resistance levels within the defined price range.
Volatility Analysis: Observe the probability plot and its sensitivity to volatility for informed decision-making.
Important Notes:
This script is not intended as investment advice. It is a tool to assist with market analysis and should be used alongside proper risk management and other trading tools.
The script is provided as-is and without warranty. Users are encouraged to backtest and validate its suitability for their specific trading needs.
Happy Trading!
If you find this script helpful, consider sharing your feedback or suggestions for improvement. Collaboration strengthens the TradingView community, and your input is always appreciated!
three Supertrend EMA Strategy by Prasanna +DhanuThe indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works:
1. EMA (Exponential Moving Average):
The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction.
Input Parameter:
ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations.
How it's used:
If the price is above the EMA, it indicates an uptrend.
If the price is below the EMA, it indicates a downtrend.
2. Supertrend Indicator:
The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level.
Input Parameters:
supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default.
supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0.
supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0.
supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0.
Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR.
How the Supertrend works:
If the Supertrend value is below the price, the trend is considered bullish (uptrend).
If the Supertrend value is above the price, the trend is considered bearish (downtrend).
The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal.
3. Three Supertrend Lines:
In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red).
Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0.
Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0.
Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0.
Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price.
4. Strategy Rules:
This strategy uses the three Supertrend lines combined with the EMA to generate trade signals.
Entry Conditions:
A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition.
A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition.
Exit Conditions:
A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it).
A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it).
5. Visualization:
The strategy also plots the following on the chart:
The EMA is plotted as a blue line, which helps identify the overall trend.
The three Supertrend lines are plotted with different colors:
Supertrend 1: Green (for uptrend) and Red (for downtrend).
Supertrend 2: Green (for uptrend) and Red (for downtrend).
Supertrend 3: Green (for uptrend) and Red (for downtrend).
Summary of the Strategy:
The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends.
Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA.
Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA.
Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction.
This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation.
The indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works:
1. EMA (Exponential Moving Average):
The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction.
Input Parameter:
ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations.
How it's used:
If the price is above the EMA, it indicates an uptrend.
If the price is below the EMA, it indicates a downtrend.
2. Supertrend Indicator:
The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level.
Input Parameters:
supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default.
supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0.
supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0.
supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0.
Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR.
How the Supertrend works:
If the Supertrend value is below the price, the trend is considered bullish (uptrend).
If the Supertrend value is above the price, the trend is considered bearish (downtrend).
The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal.
3. Three Supertrend Lines:
In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red).
Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0.
Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0.
Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0.
Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price.
4. Strategy Rules:
This strategy uses the three Supertrend lines combined with the EMA to generate trade signals.
Entry Conditions:
A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition.
A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition.
Exit Conditions:
A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it).
A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it).
5. Visualization:
The strategy also plots the following on the chart:
The EMA is plotted as a blue line, which helps identify the overall trend.
The three Supertrend lines are plotted with different colors:
Supertrend 1: Green (for uptrend) and Red (for downtrend).
Supertrend 2: Green (for uptrend) and Red (for downtrend).
Supertrend 3: Green (for uptrend) and Red (for downtrend).
Summary of the Strategy:
The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends.
Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA.
Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA.
Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction.
This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation.
The indicator described in your Pine Script is a Supertrend EMA Strategy that combines the Supertrend and EMA (Exponential Moving Average) to create a trend-following strategy. Here’s a detailed breakdown of how this indicator works:
1. EMA (Exponential Moving Average):
The EMA is a moving average that places more weight on recent prices, making it more responsive to price changes compared to a simple moving average (SMA). In this strategy, the EMA is used to determine the overall trend direction.
Input Parameter:
ema_length: This is the period for the EMA, set to 50 periods by default. A shorter EMA will respond more quickly to price movements, while a longer EMA is smoother and less sensitive to short-term fluctuations.
How it's used:
If the price is above the EMA, it indicates an uptrend.
If the price is below the EMA, it indicates a downtrend.
2. Supertrend Indicator:
The Supertrend indicator is a trend-following tool based on the Average True Range (ATR), which is a volatility measure. It helps to identify the direction of the trend by setting a dynamic support or resistance level.
Input Parameters:
supertrend_atr_period: The period used for calculating the ATR, set to 10 periods by default.
supertrend_multiplier1: Multiplier for the first Supertrend, set to 3.0.
supertrend_multiplier2: Multiplier for the second Supertrend, set to 2.0.
supertrend_multiplier3: Multiplier for the third Supertrend, set to 1.0.
Each Supertrend line has a different multiplier, which affects its sensitivity to price changes. The ATR period defines how many periods of price data are used to calculate the ATR.
How the Supertrend works:
If the Supertrend value is below the price, the trend is considered bullish (uptrend).
If the Supertrend value is above the price, the trend is considered bearish (downtrend).
The Supertrend will switch between up and down based on price movement and ATR, providing a dynamic trend-following signal.
3. Three Supertrend Lines:
In this strategy, three Supertrend lines are calculated with different multipliers and the same ATR period (10 periods). Each line is more or less sensitive to price changes, and they are plotted on the chart in different colors based on whether the trend is bullish (green) or bearish (red).
Supertrend 1: The most sensitive Supertrend with a multiplier of 3.0.
Supertrend 2: A moderately sensitive Supertrend with a multiplier of 2.0.
Supertrend 3: The least sensitive Supertrend with a multiplier of 1.0.
Each Supertrend line signals a bullish trend when its value is below the price and a bearish trend when its value is above the price.
4. Strategy Rules:
This strategy uses the three Supertrend lines combined with the EMA to generate trade signals.
Entry Conditions:
A long entry is triggered when all three Supertrend lines are in an uptrend (i.e., all three Supertrend lines are below the price), and the price is above the EMA. This suggests a strong bullish market condition.
A short entry is triggered when all three Supertrend lines are in a downtrend (i.e., all three Supertrend lines are above the price), and the price is below the EMA. This suggests a strong bearish market condition.
Exit Conditions:
A long exit occurs when the third Supertrend (the least sensitive one) switches to a downtrend (i.e., the price falls below it).
A short exit occurs when the third Supertrend switches to an uptrend (i.e., the price rises above it).
5. Visualization:
The strategy also plots the following on the chart:
The EMA is plotted as a blue line, which helps identify the overall trend.
The three Supertrend lines are plotted with different colors:
Supertrend 1: Green (for uptrend) and Red (for downtrend).
Supertrend 2: Green (for uptrend) and Red (for downtrend).
Supertrend 3: Green (for uptrend) and Red (for downtrend).
Summary of the Strategy:
The strategy combines three Supertrend indicators (with different multipliers) and an EMA to capture both short-term and long-term trends.
Long positions are entered when all three Supertrend lines are bullish and the price is above the EMA.
Short positions are entered when all three Supertrend lines are bearish and the price is below the EMA.
Exits occur when the third Supertrend line (the least sensitive) signals a change in trend direction.
This combination of indicators allows for a robust trend-following strategy that adapts to both short-term volatility and long-term trend direction. The Supertrend lines provide quick reaction to price changes, while the EMA offers a smoother, more stable trend direction for confirmation.
Fibonacci Extensions and Retracements for Selected TimeframesPurpose of the Script
This script plots Fibonacci levels (retracements and extensions) based on the high and low points of the previous day, previous week, or previous month. It is a trading aid to help identify potential support and resistance zones. These zones are often used by traders to determine entry or exit points for trades.
How It Works
Select Timeframe
The trader can choose whether to calculate Fibonacci levels based on the high and low points of the previous day, previous week, or previous month.
This is selected using the timeframe_input input.
Examples:
"D" for the previous day
"W" for the previous week
"M" for the previous month
Calculate Price Range
The script calculates the price range using the high and low of the selected timeframe:
Formula: price_range = High - Low
Draw Fibonacci Levels
Retracements: Within the price range, Fibonacci levels such as 12%, 23%, 38%, 50%, 61%, 78%, and 88% are calculated. These help identify potential support or resistance zones.
Extensions: Beyond the price range, Fibonacci extensions such as 127%, 161%, 200%, 224%, and 241% are plotted to indicate potential breakout targets.
Visualization
The script plots lines and labels for each level.
These lines extend to the right, providing real-time guidance during trading.
Colors and line styles can be customized to match personal preferences.
How to Use as a Trading Aid
Use Fibonacci Retracements:
Use retracements (e.g., 38%, 50%, 61%) to identify potential support or resistance zones.
Example: If the price dropped sharply the previous day, the retracement levels could act as support during a rebound.
Use Fibonacci Extensions:
Extensions help identify price targets when the price breaks above or below the high or low of the previous day, week, or month.
Example: After a breakout above the previous week’s high, the 127% or 161% level could serve as a target.
Adjust Timeframe:
Choose the timeframe that suits your strategy:
Intraday traders can use the previous day’s high and low.
Swing traders might prefer the previous week.
Long-term traders could work with the previous month.
Example
A trader selects the weekly timeframe (W) to analyze the high and low of the previous week:
The script calculates the price range based on the high and low of the previous week.
Fibonacci retracements (e.g., 50% and 61%) are drawn to identify potential support zones.
Fibonacci extensions (e.g., 127% and 161%) help define price targets for a potential breakout above or below the range.
Awesome Oscillator Twin Peaks Strategy
1. The indicator identifies both bullish and bearish twin peaks:
- Bullish: Two consecutive valleys below zero, where the second valley is higher than the first
- Bearish: Two consecutive peaks above zero, where the second peak is lower than the first
2. Visual elements:
- AO histogram with color-coding for increasing/decreasing values
- Triangle markers for confirmed twin peak signals
- Zero line for reference
- Customizable colors through inputs
3. Built-in safeguards:
- Minimum separation between peaks to avoid false signals
- Maximum time window for pattern completion
- Clear signal reset conditions
4. Alert conditions for both bullish and bearish signals
To use this indicator:
1. Add it to your TradingView chart
2. Customize the input parameters if needed
3. Look for triangle markers that indicate confirmed twin peak patterns
4. Optional: Set up alerts based on the signal conditions
Candle-Based Negative Space (Improved)This script visualizes the concept of negative space (when a candle closes below a defined baseline) and positive space (when a candle closes above the baseline) on a price chart. It uses user-defined inputs to configure the baseline and optionally includes a moving average for additional trend analysis. Below is a detailed explanation of the script and suggestions for improving its plotting.
Explanation of the Script
Purpose
The script helps traders visualize the relationship between price movements and a dynamically chosen baseline. The baseline can be based on:
The high/low of the previous candle.
The open/close of the current candle.
The "negative space" is calculated when the closing price is below the baseline, and the "positive space" is calculated when the closing price is above the baseline. The sum of these spaces over a period is plotted as a histogram to provide insights into market strength.
ForecastPro by BinhMyco1. Overview:
This Pine Script implements a custom forecasting tool on TradingView, labeled "BinhMyco." It provides a method to predict future price movements based on historical data and a comparison with similar historical patterns. The script supports two types of forecasts: **Prediction** and **Replication**, where the forecasted price can be either based on price peaks/troughs or an average direction. The script also calculates a confidence probability, showing how closely the forecasted data aligns with historical trends.
2. Inputs:
- Source (`src`): The input data source for forecasting, which defaults to `open`.
- Length (`len`): The length of the training data used for analysis (fixed at 200).
- Reference Length (`leng`): A fixed reference length for comparing similar historical patterns (set to 70).
- Forecast Length (`length`): The length of the forecast period (fixed at 60).
- Multiplier (`mult`): A constant multiplier for the forecast confidence cone (set to 4.0).
- Forecast Type (`typ`): Type of forecast, either **Prediction** or **Replication**.
- Direction Type (`dirtyp`): Defines how the forecast is calculated — either based on price **peaks/troughs** or an **average direction**.
- Forecast Divergence Cone (`divcone`): A boolean option to enable the display of a confidence cone around the forecast.
3. Color Constants:
- Green (`#00ffbb`): Color used for upward price movements.
- Red (`#ff0000`): Color used for downward price movements.
- Reference Data Color (`refcol`): Blue color for the reference data.
- Similar Data Color (`simcol`): Orange color for the most similar data.
- Forecast Data Color (`forcol`): Yellow color for forecasted data.
4. Error Checking:
- The script checks if the reference length is greater than half the training data length, and if the forecast length exceeds the reference length, raising errors if either condition is true.
5. Arrays for Calculation:
- Correlation Array (`c`): Holds the correlation values between the data source (`src`) and historical data points.
- Index Array (`index`): Stores the indices of the historical data for comparison.
6. Forecasting Logic:
- Correlation Calculation: The script calculates the correlation between the historical data (`src`) and the reference data over the given reference length. It then identifies the point in history most similar to the current data.
- Forecast Price Calculation: Based on the type of forecast (Prediction or Replication), the script calculates future prices either by predicting based on similar bars or by replicating past data. The forecasted prices are stored in the `forecastPrices` array.
- Forecast Line Drawing: The script draws lines to represent the forecasted price movements. These lines are color-coded based on whether the forecasted price is higher or lower than the current price.
7. Divergence Cone (Optional):
- If the **divcone** option is enabled, the script calculates and draws a confidence cone around the forecasted prices. The upper and lower bounds of the cone are calculated using a standard deviation factor, providing a visual representation of forecast uncertainty.
8. Probability Table:
- A table is displayed on the chart, showing the probability of the forecast being accurate. This probability is calculated using the correlation between the current data and the most similar historical pattern. If the probability is positive, the table background turns green; if negative, it turns red. The probability is presented as a percentage.
9. Key Functions:
- `highest_range` and `lowest_range`: Functions to find the highest and lowest price within a range of bars.
- `ftype`: Determines the forecast type (Prediction or Replication) and adjusts the forecasting logic accordingly.
- `ftypediff`: Computes the difference between the forecasted and actual prices based on the selected forecast type.
- `ftypelim`, `ftypeleft`, `ftyperight`: Additional functions to adjust the calculation of the forecast based on the forecast type.
10. Conclusion:
The "ForecastPro" script is a unique tool for forecasting future price movements on TradingView. It compares historical price data with similar historical trends to generate predictions. The script also offers a customizable confidence cone and displays the probability of the forecast's accuracy. This tool provides traders with valuable insights into future price action, potentially enhancing decision-making in trading strategies.
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This script provides advanced functionality for traders who wish to explore price forecasting, and can be customized to fit various trading styles.
Ichimoku ACE ClubA. Overview:
This script is a custom implementation of the Ichimoku Cloud indicator for the TradingView platform, built using Pine Script version 4. It adds additional features like custom "Knife" lines and circle markers for specific data points. The indicator overlays on the chart and plots various elements of the Ichimoku system, including the Tenkan, Kijun, Chikou, and Kumo Cloud.
B. Inputs:
1. Tenkan (TS): This is the short-term moving average line (default period: 9).
2. Kijun (KJ): This is the medium-term moving average line (default period: 17).
3. Knife1 (K1): This line is based on a longer-term moving average (default period: 65).
4. Knife2 (K2): Another long-term moving average line (default period: 129).
5. Chikou Displacement (Chikou_Disp): The Chikou Span is plotted with a delay of 26 periods by default.
6. Displacement (disp): Determines the horizontal shift of the Kumo cloud.
C. Functions:
- `donchian(len)`: This function calculates the Donchian channel, which is the average of the highest high and the lowest low over the given period (len).
- `mf(len, offset)`: This function calculates the highest high and the lowest low over the given period, with an offset applied.
D. Plots:
1. Tenkan, Kijun, Knife1, and Knife2: These are plotted as lines with different colors and thicknesses.
- Tenkan is blue.
- Kijun is red.
- Knife1 is yellow.
- Knife2 is orange.
2. Chikou Span: This is plotted with a displacement and shown in purple.
3. Kumo Cloud: The cloud is formed by plotting two lines, Span A (green) and Span B (magenta), which represent the top and bottom of the cloud, respectively. The space between these lines is filled with a semi-transparent color, either green or magenta, depending on the relative position of the two spans.
E. Circle Markers:
- Additional circle markers are plotted for each of the Tenkan, Kijun, Knife1, and Knife2 lines at various offsets, helping to visualize the historical data points for each of these indicators. These circles are color-coded according to the line they correspond to.
F. Customization:
- The indicator allows customization of the lengths (periods) for Tenkan, Kijun, Knife1, Knife2, and other components via the script's input fields.
G. Conclusion:
This Ichimoku-based indicator provides a detailed view of the market's trend strength and direction. It offers a unique addition with the Knife lines and visual aids like circle markers for specific periods, which helps traders make better-informed decisions based on Ichimoku analysis.
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You can modify the parameters such as `TS`, `KJ`, `K1`, `K2`, and `disp` according to your trading preferences. The colors and line thicknesses can also be adjusted for better visual representation.
Volume-Weighted Delta Strategy V1 [Kopottaja]Volume-Weighted Delta Strategy V1
Key Features:
Volume-Weighted Delta:
The strategy calculates a custom delta value based on the difference between the close and open prices, weighted by trading volume. This helps identify strong buying or selling activity.
ATR Channels:
The ATR channels are adjusted dynamically based on the delta value, which adds flexibility to the strategy by accounting for market volatility.
Moving Averages:
The strategy includes moving averages (SMA and EMA) for trend detection and signal confirmation. The 20-period EMA changes color based on the relationship between the delta value and its moving average.
Signal Logic:
Bullish Signals: Generated when the delta moving average crosses above the delta value, and the price crosses above the upper ATR band.
Bearish Signals: Generated when the delta moving average crosses below the delta value, and the price crosses below the lower ATR band.
Exit Conditions: Positions are closed based on reverse crossovers or specific ATR band thresholds.
Customizable Parameters:
Delta length, moving average length, ATR period, and volume thresholds are adjustable to suit various trading styles and instruments.
Optimized for Bitcoin on a 5-Minute Timeframe:
This strategy is particularly effective for trading Bitcoin on a 5-minute timeframe, where its sensitivity to volume and volatility helps capture short-term price movements and breakout opportunities.
Visual Outputs:
EMA plotted with dynamic colors indicating bullish (green) or bearish (red) conditions.
ATR channels (upper and lower bands) plotted in green to outline volatility zones.
Signals are logged in the strategy to automate buy/sell decisions.
This strategy is ideal for traders seeking to incorporate volume and volatility dynamics into their decision-making process, especially for short-term Bitcoin trading. It excels at identifying potential trend reversals and breakout opportunities in both trending and range-bound markets.
Holiday Cheer 🎄Features:
Snowflakes Animation: Creates a "falling snow" effect with small white circles drifting downwards.
Festive Candlesticks: Green for up candles, red for down candles, matching holiday vibes.
Greeting Label: Displays a cheerful holiday message on the chart
Trend Battery [Phantom]Trend Battery
Visualize Trend Strength with a Dynamic EMA Power Gauge
OVERVIEW
The Trend Battery indicator offers a clear, visual representation of trend strength based on the alignment of multiple Exponential Moving Averages (EMAs). It assigns a color-coded score to each bar, helping traders quickly assess the prevailing trend's power and direction.
CONCEPT
• Trend Strength Using EMAs: The indicator analyzes the alignment of 20 EMAs (8 to 200 periods) to gauge trend strength. The more EMAs align, the stronger the trend.
• Gradient-Based Visualization: Scores are mapped to a color gradient, transitioning from green (bullish) to purple (bearish), providing an intuitive visual representation of trend momentum.
HOW IT WORKS
Trend Battery calculates 20 EMAs and evaluates their alignment. When EMAs align in a strong trend, the bar colors change (as displayed in battery color key on chart) displaying a spectrum of colors from bright green (strong uptrend) to deep purple (strong downtrend).
• Dynamic Bar Colors:
o Green hues: Strong bullish trends.
o Purple hues: Strong bearish trends.
o Red hues: Weaker trends or potential transitions.
FEATURES
• Dynamic Color Coding: Easy-to-read and instantly assess trend.
• Customizable Transparency: Adjust bar color opacity to your preference.
• Optional EMA Display: Toggle individual EMA lines on/off for additional context.
• Compact Battery View: Quick reference table displaying the gradient color mapping.
SETTINGS
• Transparency: Controls the opacity of bar colors.
• Show EMAs on Chart: Enables/disables plotting of EMA lines.
USAGE
• Identify trend strength and direction.
• Confirm trend reversals or continuations.
• Complement other indicators and strategies.
• Monitor multi-timeframe trends.
TRADE IDEAS:
• For larger timeframes purple hues can be used for accumulating and green hues for distribution.
• For smaller timeframes, color transitions could be a signal for trend reversal, or corrections.
• It is a good idea to use larger timeframes for overall trend directions, and smaller timeframes for entries.
LIMITATIONS
• Lagging Indicator: As the Trend Battery relies on Exponential Moving Averages (EMAs), it is inherently a lagging indicator. This means it reflects past price action and may not always provide timely signals for rapid market changes or sudden reversals.
• False Signals in Sideways Markets: In ranging or consolidating markets, the indicator may produce mixed signals (frequent color changes) as EMAs intertwine without a clear trend. This can lead to false interpretations if not considered alongside other market context indicators.
• Not a Standalone System: The Trend Battery is designed to be a visual aid and should not be used as the sole basis for trading decisions. It's most effective when combined with other technical analysis tools, such as oscillators, support/resistance levels, and fundamental analysis.
DISCLAIMER
Use the Trend Battery indicator in conjunction with other forms of analysis and risk management. Past performance is not indicative of future results.
Santa's Secrets | FractalystSanta’s Secrets is a visually engaging trading tool that infuses holiday cheer into your charts. Inspired by the enchanting, mysterious vibes of the holiday season, this indicator overlays price charts with dynamic, multi-colored glitches that sync with market data, delivering a festive and whimsical visual experience.
The indicator brings a magical touch to your charts, featuring characters from classic holiday themes (e.g., Santa, reindeer, snowflakes, gift boxes) to create a fun and festive “glitch effect.” Users can select a theme for their matrix characters, adding a holiday twist to their trading visuals. As the market data moves, these themed characters are randomly picked and displayed on the chart in a colorful cascade.
Underlying Calculations and Logic
1.Character Management:
The indicator uses arrays to manage different sets of holiday-themed characters, such as Santa’s sleigh, snowflakes, and reindeer. These arrays allow dynamic selection and update of characters as the market moves, mimicking a festive glitch effect.
2. Current and Previous States:
Arrays track the current and previous states of characters, ensuring smooth transitions between visual updates. This dual-state management enables the effects to look like a magical, continuous movement, just like Santa’s sleigh cruising through the winter night.
3. Transparency Control:
Transparency levels are controlled through arrays, adjusting opacity to create subtle fading effects or more intense visual appearances. The result is a festive glow that can fade or intensify depending on the market’s volatility.
4. Rain Effect Simulation:
To create the “snowfall” or “glitching lights” effect, the indicator manages arrays that simulate falling characters, like snowflakes or candy canes, continuously updating their position and visibility. As new characters enter the top of the screen, older ones disappear from the bottom, with fading transparency to simulate a seamless flow.
5. Operational Flow:
• Initialization: Arrays initialize the characters and transparency controls, readying the script for smooth and continuous updates during trading.
• Updates: During each cycle, new characters are selected and the old ones shift, with updates in both content and appearance ensuring the matrix effect is visually appealing.
• Rendering: The arrays control how the characters are rendered, ensuring the magical holiday effect stays lively and eye-catching without interrupting the trading flow.
How to Use Santa’s Secrets Indicator
1. Apply the Indicator to Your Charts:
Add the Santa’s Secrets indicator to your chart, activating the holiday-themed visual effect on your selected trading instrument or time frame.
2. Select Your Holiday Theme:
In the settings, choose the holiday theme or character set. Whether it’s Santa’s sleigh, reindeer, snowflakes, or gift boxes, pick the one that brings the most festive cheer to your charts.
3. Choose Your Visual Effect (Snowfall or Glitch Burst):
Select between the “Snowfall” effect, where characters gently drift down the chart like snowflakes, or the “Glitch Burst” effect, where characters explode outward in a burst of holiday cheer, representing bursts of market volatility.
4. Adjust the Color for Holiday Vibes:
Customize the color of the characters to match your chart’s aesthetic or reflect different market conditions. Choose from red for a downtrend, green for an uptrend, or opt for a gradient of colors to capture a true holiday spirit.
5. Fit the Matrix to Your Display:
Adjust the width and height of the matrix display to make sure it fits perfectly with your chart layout. Ensure it doesn’t obscure your view while still providing the holiday-themed magic.
What Makes Santa’s Secrets Indicator Unique?
Holiday Theme Selection:
Santa’s Secrets allows traders to choose from a variety of holiday-themed characters. Whether you prefer the traditional Santa’s sleigh, snowflakes, reindeer, or gift boxes, you can bring the festive spirit into your trading. This personalized touch adds a fun, holiday twist to your charts and keeps you engaged during the festive season.
Dynamic Effects:
Choose between two exciting visual modes – Snowfall Mode or Glitch Burst Mode. The Snowfall Mode brings a gentle, peaceful effect with characters cascading down the chart like snowflakes, while Glitch Burst Mode creates a more intense effect, radiating characters outward in an explosive, holiday-themed display.
Customizable Holiday Colors:
Traders can fully customize the color of the matrix characters to match their trading environment. Whether you want a traditional red and green for a Christmas mood or a blue and white snow effect, Santa’s Secrets allows you to create the perfect holiday atmosphere while you trade.
Universal Display Compatibility:
No matter what screen or device you’re using – whether it’s a large monitor, laptop, or mobile – Santa’s Secrets is fully adjustable to fit your screen size. The holiday effect remains visually striking without compromising the integrity of your chart data.
Wishing you a happy year filled with success, growth, and profitable trades.🎅🎁
Let's kick off the new year strong with Santa's Secrets! 🚀🎄
SnowglobeA fun Christmas publication where snowflakes fall to the bottom, as in a Snowglobe.
☃️ Shake Snowglobe
- Set the settings as desired.
Position the chart so the current real-time bar at the right is still visible; otherwise, the snowflakes will not move.
- Simple move the chart a bit, zoom, or adjust the settings if you want to start over.
'White Theme' users will experience black snow, while 'Dark Themers' will get white snow! 😄
🎄 Pine Script™
- If the 'Amount' is 500 or lower, only label.new() is used, if higher, box.new() with text comes also in play.
- The size of the text is set with numeric values, a new feature of Pine Script™ version 6!
☃️ Settings
Amount: Maximum amount of snowflakes
Moving Flakes: Maximum amount of moving snowflakes per tick move
Max Speed: Maximum speed of tumbling snowflakes
Drift: Maximum bar distance of snowflakes' drift
Happy Holidays! 🎅🏻🧑🏻🎄
ASCII ARTASCII ART - Simple ASCII Art Display Indicator
A minimalist indicator that displays ASCII art on your TradingView charts. This tool allows you to add creative visual elements to your charts through ASCII art text.
Key Features
Input ASCII art through a text area
Choose from 9 display positions (top-left, top-center, top-right, middle-left, middle-center, middle-right, bottom-left, bottom-center, bottom-right)
Customize font size
Set font color
How to Use
Add the indicator to your chart
Input your ASCII art in the text area
Configure position, font size, and color
View your art on the chart
Settings
Text Area: Input field for ASCII art
Table position: Select display location
Font size: Set text size (0 for auto-adjust)
Font color: Choose text color
This script is created for educational purposes and does not provide trading signals. It is purely designed for displaying ASCII art on your charts to enhance visual customization.
Bitcoin Premium [SAKANE]Overview
"Bitcoin Premium " is an indicator designed to analyze the price differences (premiums) of Bitcoin between major exchanges. By using this tool, you can visualize these differences and trends across exchanges, helping you make more informed trading decisions.
Features
1. Premium Calculation and Display
- Calculates and visualizes the price differences between major exchanges like Coinbase, Bitfinex, Upbit, and Binance.
- Premiums are displayed in a histogram format for intuitive analysis.
2. Forex Rate Adjustment
- Prices quoted in KRW (e.g., from Upbit) are converted to USD using real-time KRW/USD forex rates.
3. Moving Average Option
- Displays moving averages (SMA or EMA) of premiums for a clearer view of long-term trends.
4. Customizable Settings
- Toggle the premium display for each exchange on or off.
- Includes label displays to support visual analysis.
What Can It Do for You?
1. Identify Arbitrage Opportunities
By observing price differences (premiums) between exchanges, you can identify arbitrage opportunities.
Example: If Bitcoin is cheaper on Binance and more expensive on Coinbase, you could buy on Binance and sell on Coinbase to capture the price difference.
2. Understand Regional Supply and Demand Trends
Each exchange's premium reflects the supply and demand dynamics of its respective region.
Example: A high premium on Upbit may indicate excess demand or regulatory impacts in the South Korean market.
3. Analyze Liquidity
Price differences often highlight liquidity disparities between exchanges. Markets with lower trading volumes tend to have larger premiums due to price distortions.
4. Evaluate Macroeconomic Impacts
Premium movements may reflect changes in macroeconomic factors, such as exchange rates, regulations, or financial conditions specific to each region.
5. Analyze Trends and Market Sentiment
By tracking premium trends, you can gauge market sentiment and understand regional or exchange-specific behaviors to inform your investment decisions.
6. Support Strategic Trading
This tool is useful for short-term arbitrage strategies as well as long-term evaluations of market health.
Exchange Characteristics and Premium Implications
The meaning of premiums varies by exchange.
- Coinbase (US Market)
Primarily used by investors buying directly with fiat currency (USD). A higher premium often signals bullish sentiment among institutional and retail investors.
- Bitfinex (Global Market)
A trader-focused exchange with active large-scale and leveraged trading. Premiums may reflect liquidity and risk appetite.
- Upbit (South Korean Market)
Priced in KRW, making it subject to forex rates and local market dynamics. High premiums may indicate strong demand or regulatory influences in South Korea.
- Binance (Global Market)
The largest exchange by trading volume. Premiums here are often a reflection of the overall market balance.
Notes
- This indicator is for reference only and does not guarantee trading decisions.
- Please consider the characteristics and conditions of each exchange when using this tool.
Milvetti_Pineconnector_LibraryLibrary "Milvetti_Pineconnector_Library"
This library has methods that provide practical signal transmission for Pineconnector.Developed By Milvetti
buy(licenseId, symbol, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a buy order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
sell(licenseId, symbol, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a buy order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
buyLimit(licenseId, symbol, pending, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a buy limit order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
pending (float) : Computing pending order entry price. EA Options: Pips, Specified Price, Percentage
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
buyStop(licenseId, symbol, pending, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a buy stop order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
pending (float) : Computing pending order entry price. EA Options: Pips, Specified Price, Percentage
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
sellLimit(licenseId, symbol, pending, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a sell limit order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
pending (float) : Computing pending order entry price. EA Options: Pips, Specified Price, Percentage
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
sellStop(licenseId, symbol, pending, risk, sl, tp, beTrigger, beOffset, trailTrig, trailDist, trailStep, atrTimeframe, atrTrigger, atrPeriod, atrMultiplier, atrShift, spread, accFilter, secret, comment)
Create a sell stop order message
Parameters:
licenseId (string) : License Id. This is a unique identifier found in the Pineconnector Licensing Dashboard.
symbol (string) : Symbol. Default is syminfo.ticker
pending (float) : Computing pending order entry price. EA Options: Pips, Specified Price, Percentage
risk (float) : Risk. Function depends on the “Volume Type” selected in the EA
sl (float) : StopLoss. Place stop-loss. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
tp (float) : TakeProfit. Place take-profit. Computation is based on the Target Type selected in the EA. Default is 0(inactive)
beTrigger (float) : Breakeven will be activated after the position gains this number of pips. Ensure > 0
beOffset (float) : Offset from entry price. 0 means the SL will be placed exactly at entry price. 1 means 1 pip above the entry price for buy trades and 1 pip below for sell trades.
trailTrig (int) : Trailing stop-loss will be activated after a trade gains this number of pips. Default is 0(inactive)
trailDist (int) : SL will be opened at traildist after trailtrig is met, even if you do not have a SL placed.. Default is 0(inactive)
trailStep (int) : Moves trailing stop-loss once price moves to favourable by a specified number of pips. Default is 0(inactive)
atrTimeframe (string) : ATR Trailing Stop will be based on the specified timeframe in minutes and will only update once per bar close. Default is Timeframe.Period
atrTrigger (float) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default is 0(inactive)
atrPeriod (int) : ATR averaging period. Default is 0
atrMultiplier (float) : Multiple of ATR to utilise in the new SL computation. Default is 1
atrShift (float) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default is 0
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips. Default is 0(inactive)
accFilter (float) : Enter the position only if the account requirement is met. Default is 0(inactive)
secret (string)
comment (string) : Comment. Add a string into the order’s comment section. Default is "Symbol+Timeframe"
Trend Trader-Remastered StrategyOfficial Strategy for Trend Trader - Remastered
Indicator: Trend Trader-Remastered (TTR)
Overview:
The Trend Trader-Remastered is a refined and highly sophisticated implementation of the Parabolic SAR designed to create strategic buy and sell entry signals, alongside precision take profit and re-entry signals based on marked Bill Williams (BW) fractals. Built with a deep emphasis on clarity and accuracy, this indicator ensures that only relevant and meaningful signals are generated, eliminating any unnecessary entries or exits.
Please check the indicator details and updates via the link above.
Important Disclosure:
My primary objective is to provide realistic strategies and a code base for the TradingView Community. Therefore, the default settings of the strategy version of the indicator have been set to reflect realistic world trading scenarios and best practices.
Key Features:
Strategy execution date&time range.
Take Profit Reduction Rate: The percentage of progressive reduction on active position size for take profit signals.
Example:
TP Reduce: 10%
Entry Position Size: 100
TP1: 100 - 10 = 90
TP2: 90 - 9 = 81
Re-Entry When Rate: The percentage of position size on initial entry of the signal to determine re-entry.
Example:
RE When: 50%
Entry Position Size: 100
Re-Entry Condition: Active Position Size < 50
Re-Entry Fill Rate: The percentage of position size on initial entry of the signal to be completed.
Example:
RE Fill: 75%
Entry Position Size: 100
Active Position Size: 50
Re-Entry Order Size: 25
Final Active Position Size:75
Important: Even RE When condition is met, the active position size required to drop below RE Fill rate to trigger re-entry order.
Key Points:
'Process Orders on Close' is enabled as Take Profit and Re-Entry signals must be executed on candle close.
'Calculate on Every Tick' is enabled as entry signals are required to be executed within candle time.
'Initial Capital' has been set to 10,000 USD.
'Default Quantity Type' has been set to 'Percent of Equity'.
'Default Quantity' has been set to 10% as the best practice of investing 10% of the assets.
'Currency' has been set to USD.
'Commission Type' has been set to 'Commission Percent'
'Commission Value' has been set to 0.05% to reflect the most realistic results with a common taker fee value.
