Atareum Volume Ichimuku CandleAVIC (Atareum Volume Ichimoku Candles) is clearly an awesome indicator that is based on Ichimoku concepts by combination with volume. This is a new approach of volume candles that is combined with Ichimoku concepts and creates such a powerful tool to trace the market and assists traders to make better decisions, truly.
Concept:
Using Ichimoku leading periods and calculations on redesigning new candles in combination with volume, that makes unique reform candles on Tenkansen movement, but these new candles clearly omit noises in combination with volume, and then the new redesigned system of cloud calculations builds, new series of data for Senko Span A and Senko Span B which is so odd in first view, because they will barely ever cross each other, but they show very more informative and useful.
Parameters:
Section 1 : Candle colour setting for flourishing just as you desire !
Section 2 : Defining Periods of standard Ichimoku and source of candle data in combination with determining the smoothing type of moving averages and signal period.
Section 3 : Select using Heikin Ashi based candles alongside with redesigned cloud calculation type and three additional moving averages which can plot on each newly generated candles and standard candles on a chart with the type mode defined in the previous section.
Note: if you want to omit any or all of these moving averages, you can use 0 in period, instead of selecting "None" in the plot moving option!
Usage :
Overall:
Regardless of the additional moving averages which will lead to so many situations of market according to their types and designs, that is four different period for new redesign AVIC and three period for standard chart. You can easily select periods and type for these moving averages. Also, do not forget that signal moving averages is shown only on AVIC chart and have two different colour for upward and downward trends. Other moving averages are plot by just one single colour.
Cloud levels are so important because AVIC candles show respect to them and when they break the clouds upward or downward it's surly beginning of a trend that is may last long. Also when cloud levels flatten, it is determining a support or resistance according to up cloud or down cloud nature and as long as they will continue or repeated periodically on same level of AVIC chart, it will implement their weakness or strength.
Support and Resistance:
Any flattens of cloud up or down level means the support or resistance level due to its nature, but important thing is how long the cloud lasts flatten or how many times repeated in the same level in AVIC chart.
For plotting the support or resistance you should trace first candle of start of flattens in standard chart just like following picture.
Divergence:
All Higher high or Lower low of standard chart has its reflect in AVIC chart but there is secret in it, It is named divergence. When standard chart price candles generating lower low but the AVIC chart candles do not cross the bottom, it means we will spike high as soon as AVIC candle chart complete its divergence. You can see perfect example in following picture.
Cloud level Ends
When cloud down level become flattens and cloud up level start a bull run it means we will face a great up trend movement but as soon as cloud down level starts to move up it mean we are going to finish the bull run and maybe it goes with consolidation phase or reversal phase. This reaction is exactly happen in vice versa for bear run trend. You can see both examples in following pictures.
Note: if we face end of bull run and cloud down level make a U turn shape upside down it means we will have reversal phase even not too long but it is sharp and fast reversal. If cloud down level just turn right slightly, it means we should have consolidation phase, mostly or we can continue the last trend slightly. All these situations can happen in vice versa bear run. You can see example in following picture.
Signals:
Long but risky:
You can go long when AVIC candles are green and be in position as long as they are not change in colour.
Long and safe :
You can go long when AVIC candles cross up cloud down level and be in position as long as AVIC candles cross down cloud up level.
Long and sure:
You can go long when AVIC candles cross up cloud up level and be in position as long as AVIC candles cross down cloud down level.
Short but risky:
You can go short when AVIC candles are red and be in position as long as they are not change in colour.
Short and safe :
You can go short when AVIC candles cross down cloud up level and be in position as long as AVIC candles cross up cloud down level.
Short and sure:
You can go short when AVIC candles cross down cloud down level and be in position as long as AVIC candles cross up cloud up level.
Notice : Candles with large body are so strong but if a body candle is weak or flatten it may a signal of changing colour and direction, especially when using Heikin Ashi type.
It is the result of many years of experience in markets and there are so many details about this AVIC chart which I am in the experiment phase to publish in the future, so please help me with your ideas and do not hesitate to comment and inform me any suggestions or criticism.
ค้นหาในสคริปต์สำหรับ "averages"
Uptrick: RSI Histogram
1. **Introduction to the RSI and Moving Averages**
2. **Detailed Breakdown of the Uptrick: RSI Histogram**
3. **Calculation and Formula**
4. **Visual Representation**
5. **Customization and User Settings**
6. **Trading Strategies and Applications**
7. **Risk Management**
8. **Case Studies and Examples**
9. **Comparison with Other Indicators**
10. **Advanced Usage and Tips**
---
## 1. Introduction to the RSI and Moving Averages
### **1.1 Relative Strength Index (RSI)**
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder and introduced in his 1978 book "New Concepts in Technical Trading Systems." It is widely used in technical analysis to measure the speed and change of price movements.
**Purpose of RSI:**
- **Identify Overbought/Oversold Conditions:** RSI values range from 0 to 100. Traditionally, values above 70 are considered overbought, while values below 30 are considered oversold. These thresholds help traders identify potential reversal points in the market.
- **Trend Strength Measurement:** RSI also indicates the strength of a trend. High RSI values suggest strong bullish momentum, while low values indicate bearish momentum.
**Calculation of RSI:**
1. **Calculate the Average Gain and Loss:** Over a specified period (e.g., 14 days), calculate the average gain and loss.
2. **Compute the Relative Strength (RS):** RS is the ratio of average gain to average loss.
3. **RSI Formula:** RSI = 100 - (100 / (1 + RS))
### **1.2 Moving Averages (MA)**
Moving Averages are used to smooth out price data and identify trends by filtering out short-term fluctuations. Two common types are:
**Simple Moving Average (SMA):** The average of prices over a specified number of periods.
**Exponential Moving Average (EMA):** A type of moving average that gives more weight to recent prices, making it more responsive to recent price changes.
**Smoothed Moving Average (SMA):** Used to reduce the impact of volatility and provide a clearer view of the underlying trend. The RMA, or Running Moving Average, used in the USH script is similar to an EMA but based on the average of RSI values.
## 2. Detailed Breakdown of the Uptrick: RSI Histogram
### **2.1 Indicator Overview**
The Uptrick: RSI Histogram (USH) is a technical analysis tool that combines the RSI with a moving average to create a histogram that reflects momentum and trend strength.
**Key Components:**
- **RSI Calculation:** Determines the relative strength of price movements.
- **Moving Average Application:** Smooths the RSI values to provide a clearer trend indication.
- **Histogram Plotting:** Visualizes the deviation of the smoothed RSI from a neutral level.
### **2.2 Indicator Purpose**
The primary purpose of the USH is to provide a clear visual representation of the market's momentum and trend strength. It helps traders identify:
- **Bullish and Bearish Trends:** By showing how far the smoothed RSI is from the neutral 50 level.
- **Potential Reversal Points:** By highlighting changes in momentum.
### **2.3 Indicator Design**
**RSI Moving Average (RSI MA):** The RSI MA is a smoothed version of the RSI, calculated using a running moving average. This smooths out short-term fluctuations and provides a clearer indication of the underlying trend.
**Histogram Calculation:**
- **Neutral Level:** The histogram is plotted relative to the neutral level of 50. This level represents a balanced market where neither bulls nor bears have dominance.
- **Histogram Values:** The histogram bars show the difference between the RSI MA and the neutral level. Positive values indicate bullish momentum, while negative values indicate bearish momentum.
## 3. Calculation and Formula
### **3.1 RSI Calculation**
The RSI calculation involves:
1. **Average Gain and Loss:** Calculated over the specified length (e.g., 14 periods).
2. **Relative Strength (RS):** RS = Average Gain / Average Loss.
3. **RSI Formula:** RSI = 100 - (100 / (1 + RS)).
### **3.2 Moving Average Calculation**
For the USH indicator, the RSI is smoothed using a running moving average (RMA). The RMA formula is similar to that of the EMA but is based on averaging RSI values over the specified length.
### **3.3 Histogram Calculation**
The histogram value is calculated as:
- **Histogram Value = RSI MA - 50**
**Plotting the Histogram:**
- **Positive Histogram Values:** Indicate that the RSI MA is above the neutral level, suggesting bullish momentum.
- **Negative Histogram Values:** Indicate that the RSI MA is below the neutral level, suggesting bearish momentum.
## 4. Visual Representation
### **4.1 Histogram Bars**
The histogram is plotted as bars on the chart:
- **Bullish Bars:** Colored green when the RSI MA is above 50.
- **Bearish Bars:** Colored red when the RSI MA is below 50.
### **4.2 Customization Options**
Traders can customize:
- **RSI Length:** Adjust the length of the RSI calculation to match their trading style.
- **Bull and Bear Colors:** Choose colors for histogram bars to enhance visual clarity.
### **4.3 Interpretation**
**Bullish Signal:** A histogram bar that moves from red to green indicates a potential shift to a bullish trend.
**Bearish Signal:** A histogram bar that moves from green to red indicates a potential shift to a bearish trend.
## 5. Customization and User Settings
### **5.1 Adjusting RSI Length**
The length parameter determines the number of periods over which the RSI is calculated and smoothed. Shorter lengths make the RSI more sensitive to price changes, while longer lengths provide a smoother view of trends.
### **5.2 Color Settings**
Traders can adjust:
- **Bull Color:** Color of histogram bars indicating bullish momentum.
- **Bear Color:** Color of histogram bars indicating bearish momentum.
**Customization Benefits:**
- **Visual Clarity:** Traders can choose colors that stand out against their chart’s background.
- **Personal Preference:** Adjust settings to match individual trading styles and preferences.
## 6. Trading Strategies and Applications
### **6.1 Trend Following**
**Identifying Entry Points:**
- **Bullish Entry:** When the histogram changes from red to green, it signals a potential entry point for long positions.
- **Bearish Entry:** When the histogram changes from green to red, it signals a potential entry point for short positions.
**Trend Confirmation:** The histogram helps confirm the strength of a trend. Strong, consistent green bars indicate robust bullish momentum, while strong, consistent red bars indicate robust bearish momentum.
### **6.2 Swing Trading**
**Momentum Analysis:**
- **Entry Signals:** Look for significant shifts in the histogram to time entries. A shift from bearish to bullish (red to green) indicates potential for upward movement.
- **Exit Signals:** A shift from bullish to bearish (green to red) suggests a potential weakening of the trend, signaling an exit or reversal point.
### **6.3 Range Trading**
**Market Conditions:**
- **Consolidation:** The histogram close to zero suggests a range-bound market. Traders can use this information to identify support and resistance levels.
- **Breakout Potential:** A significant move away from the neutral level may indicate a potential breakout from the range.
### **6.4 Risk Management**
**Stop-Loss Placement:**
- **Bullish Positions:** Place stop-loss orders below recent support levels when the histogram is green.
- **Bearish Positions:** Place stop-loss orders above recent resistance levels when the histogram is red.
**Position Sizing:** Adjust position sizes based on the strength of the histogram signals. Strong trends (indicated by larger histogram bars) may warrant larger positions, while weaker signals suggest smaller positions.
## 7. Risk Management
### **7.1 Importance of Risk Management**
Effective risk management is crucial for long-term trading success. It involves protecting capital, managing losses, and optimizing trade setups.
### **7.2 Using USH for Risk Management**
**Stop-Loss and Take-Profit Levels:**
- **Stop-Loss Orders:** Use the histogram to set stop-loss levels based on trend strength. For instance, place stops below support levels in bullish trends and above resistance levels in bearish trends.
- **Take-Profit Targets:** Adjust take-profit levels based on histogram changes. For example, lock in profits as the histogram starts to shift from green to red.
**Position Sizing:**
- **Trend Strength:** Scale position sizes based on the strength of histogram signals. Larger histogram bars indicate stronger trends, which may justify larger positions.
- **Volatility:** Consider market volatility and adjust position sizes to mitigate risk.
## 8. Case Studies and Examples
### **8.1 Example 1: Bullish Trend**
**Scenario:** A trader notices a transition from red to green histogram bars.
**Analysis:**
- **Entry Point:** The transition indicates a potential bullish trend. The trader decides to enter a long position.
- **Stop-Loss:** Set stop-loss below recent support levels.
- **Take-Profit:** Consider taking profits as the histogram moves back towards zero or turns red.
**Outcome:** The bullish trend continues, and the histogram remains green, providing a profitable trade setup.
### **8.2 Example 2: Bearish Trend**
**Scenario:** A trader observes a transition from green to red histogram bars.
**Analysis:**
- **Entry Point:** The transition suggests a potential
bearish trend. The trader decides to enter a short position.
- **Stop-Loss:** Set stop-loss above recent resistance levels.
- **Take-Profit:** Consider taking profits as the histogram approaches zero or shifts to green.
**Outcome:** The bearish trend continues, and the histogram remains red, resulting in a successful trade.
## 9. Comparison with Other Indicators
### **9.1 RSI vs. USH**
**RSI:** Measures momentum and identifies overbought/oversold conditions.
**USH:** Builds on RSI by incorporating a moving average and histogram to provide a clearer view of trend strength and momentum.
### **9.2 RSI vs. MACD**
**MACD (Moving Average Convergence Divergence):** A trend-following momentum indicator that uses moving averages to identify changes in trend direction.
**Comparison:**
- **USH:** Provides a smoothed RSI perspective and visual histogram for trend strength.
- **MACD:** Offers signals based on the convergence and divergence of moving averages.
### **9.3 RSI vs. Stochastic Oscillator**
**Stochastic Oscillator:** Measures the level of the closing price relative to the high-low range over a specified period.
**Comparison:**
- **USH:** Focuses on smoothed RSI values and histogram representation.
- **Stochastic Oscillator:** Provides overbought/oversold signals and potential reversals based on price levels.
## 10. Advanced Usage and Tips
### **10.1 Combining Indicators**
**Multi-Indicator Strategies:** Combine the USH with other technical indicators (e.g., Moving Averages, Bollinger Bands) for a comprehensive trading strategy.
**Confirmation Signals:** Use the USH to confirm signals from other indicators. For instance, a bullish histogram combined with a moving average crossover may provide a stronger buy signal.
### **10.2 Customization Tips**
**Adjust RSI Length:** Experiment with different RSI lengths to match various market conditions and trading styles.
**Color Preferences:** Choose histogram colors that enhance visibility and align with personal preferences.
### **10.3 Continuous Learning**
**Backtesting:** Regularly backtest the USH with historical data to refine strategies and improve accuracy.
**Education:** Stay updated with trading education and adapt strategies based on market changes and personal experiences.
AlgoBuilder [Mean-Reversion] | FractalystWhat's the strategy's purpose and functionality?
This strategy is designed for both traders and investors looking to rely and trade based on historical and backtested data using automation.
The main goal is to build profitable mean-reversion strategies that outperform the underlying asset in terms of returns while minimizing drawdown.
For example, as for a benchmark, if the S&P 500 (SPX) has achieved an estimated 10% annual return with a maximum drawdown of -57% over the past 20 years, using this strategy with different entry and exit techniques, users can potentially seek ways to achieve a higher Compound Annual Growth Rate (CAGR) while maintaining a lower maximum drawdown.
Although the strategy can be applied to all markets and timeframes, it is most effective on stocks, indices, future markets, cryptocurrencies, and commodities and JPY currency pairs given their trending behaviors.
In trending market conditions, the strategy employs a combination of moving averages and diverse entry models to identify and capitalize on upward market movements. It integrates market structure-based moving averages and bands mechanisms across different timeframes and provides exit techniques, including percentage-based and risk-reward (RR) based take profit levels.
Additionally, the strategy has also a feature that includes a built-in probability function for traders who want to implement probabilities right into their trading strategies.
Performance summary, weekly, and monthly tables enable quick visualization of performance metrics like net profit, maximum drawdown, profit factor, average trade, average risk-reward ratio (RR), and more.
This aids optimization to meet specific goals and risk tolerance levels effectively.
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How does the strategy perform for both investors and traders?
The strategy has two main modes, tailored for different market participants: Traders and Investors.
Trading:
1. Trading:
- Designed for traders looking to capitalize on bullish trending markets.
- Utilizes a percentage risk per trade to manage risk and optimize returns.
- Suitable for active trading with a focus on mean-reversion and risk per trade approach.
◓: Mode | %: Risk percentage per trade
3. Investing:
- Geared towards investors who aim to capitalize on bullish trending markets without using leverage while mitigating the asset's maximum drawdown.
- Utilizes pre-define percentage of the equity to buy, hold, and manage the asset.
- Focuses on long-term growth and capital appreciation by fully investing in the asset during bullish conditions.
- ◓: Mode | %: Risk not applied (In investing mode, the strategy uses 10% of equity to buy the asset)
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What's is FRMA? How does the triple bands work? What are the underlying calculations?
Middle Band (FRMA):
The middle band is the core of the FRMA system. It represents the Fractalyst Moving Average, calculated by identifying the most recent external swing highs and lows in the market structure.
By determining these external swing pivot points, which act as significant highs and lows within the market range, the FRMA provides a unique moving average that adapts to market structure changes.
Upper Band:
The upper band shows the average price of the most recent external swing highs.
External swing highs are identified as the highest points between pivot points in the market structure.
This band helps traders identify potential overbought conditions when prices approach or exceed this upper band.
Lower Band:
The lower band shows the average price of the most recent external swing lows.
External swing lows are identified as the lowest points between pivot points in the market structure.
The script utilizes this band to identify potential oversold conditions, triggering entry signals as prices approach or drop below the lower band.
Adjustments Based on User Inputs:
Users can adjust how the upper and lower bands are calculated based on their preferences:
Upper/Lower: This method calculates the average bands using the prices of external swing highs and lows identified in the market.
Percentage Deviation from FRMA: Alternatively, users can opt to calculate the bands based on a percentage deviation from the middle FRMA. This approach provides flexibility to adjust the width of the bands relative to market conditions and volatility.
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What's the purpose of using moving averages in this strategy? What are the underlying calculations?
Using moving averages is a widely-used technique to trade with the trend.
The main purpose of using moving averages in this strategy is to filter out bearish price action and to only take trades when the price is trading ABOVE specified moving averages.
The script uses different types of moving averages with user-adjustable timeframes and periods/lengths, allowing traders to try out different variations to maximize strategy performance and minimize drawdowns.
By applying these calculations, the strategy effectively identifies bullish trends and avoids market conditions that are not conducive to profitable trades.
The MA filter allows traders to choose whether they want a specific moving average above or below another one as their entry condition.
This comparison filter can be turned on (>) or off.
For example, you can set the filter so that MA#1 > MA#2, meaning the first moving average must be above the second one before the script looks for entry conditions. This adds an extra layer of trend confirmation, ensuring that trades are only taken in more favorable market conditions.
⍺: MA Period | Σ: MA Timeframe
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What entry modes are used in this strategy? What are the underlying calculations?
The strategy by default uses two different techniques for the entry criteria with user-adjustable left and right bars: Breakout and Fractal.
1. Breakout Entries :
- The strategy looks for pivot high points with a default period of 3.
- It stores the most recent high level in a variable.
- When the price crosses above this most recent level, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot high left bars period | ◨: Pivot high right bars period
2. Fractal Entries :
- The strategy looks for pivot low points with a default period of 3.
- When a pivot low is detected, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot low left bars period | ◨: Pivot low right bars period
2. Hunt Entries :
- The strategy identifies a candle that wicks through the lower FRMA band.
- It waits for the next candle to close above the low of the wick candle.
- When this condition is met and the bar is closed, the strategy takes the buy entry.
By utilizing these entry modes, the strategy aims to capitalize on bullish price movements while ensuring that the necessary conditions are met to validate the entry points.
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What type of stop-loss identification method are used in this strategy? What are the underlying calculations?
Initial Stop-Loss:
1. ATR Based:
The Average True Range (ATR) is a method used in technical analysis to measure volatility. It is not used to indicate the direction of price but to measure volatility, especially volatility caused by price gaps or limit moves.
Calculation:
- To calculate the ATR, the True Range (TR) first needs to be identified. The TR takes into account the most current period high/low range as well as the previous period close.
The True Range is the largest of the following:
- Current Period High minus Current Period Low
- Absolute Value of Current Period High minus Previous Period Close
- Absolute Value of Current Period Low minus Previous Period Close
- The ATR is then calculated as the moving average of the TR over a specified period. (The default period is 14).
Example - ATR (14) * 2
⍺: ATR period | Σ: ATR Multiplier
2. ADR Based:
The Average Day Range (ADR) is an indicator that measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
Calculation:
- To calculate the ADR for a particular day:
- Calculate the average of the high prices over a specified number of days.
- Calculate the average of the low prices over the same number of days.
- Find the difference between these average values.
- The default period for calculating the ADR is 14 days. A shorter period may introduce more noise, while a longer period may be slower to react to new market movements.
Example - ADR (20) * 2
⍺: ADR period | Σ: ADR Multiplier
3. PL Based:
This method places the stop-loss at the low of the previous candle.
If the current entry is based on the hunt entry strategy, the stop-loss will be placed at the low of the candle that wicks through the lower FRMA band.
Example:
If the previous candle's low is 100, then the stop-loss will be set at 100.
This method ensures the stop-loss is placed just below the most recent significant low, providing a logical and immediate level for risk management.
Application in Strategy (ATR/ADR):
- The strategy calculates the current bar's ADR/ATR with a user-defined period.
- It then multiplies the ADR/ATR by a user-defined multiplier to determine the initial stop-loss level.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance.
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What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations?
For Break-Even:
Percentage (%) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain percentage above the entry.
Calculation:
Break-even level = Entry Price * (1 + Percentage / 100)
Example:
If the entry price is $100 and the break-even percentage is 5%, the break-even level is $100 * 1.05 = $105.
Risk-to-Reward (RR) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
Example:
If the entry price is $100, the initial risk is $10, and the RR ratio is 2, the break-even level is $100 + ($10 * 2) = $120.
FRMA Based:
Moves the stop-loss to break-even when the price hits the FRMA level at which the entry was taken.
Calculation:
Break-even level = FRMA level at the entry
Example:
If the FRMA level at entry is $102, the break-even level is set to $102 when the price reaches $102.
For TP1 (Take Profit 1):
- You can choose to set a take profit level at which your position gets fully closed or 50% if the TP2 boolean is enabled.
- Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR.
For TP2 (Take Profit 2):
- You can choose to set a take profit level at which your position gets fully closed.
- As with break-even and TP1, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP2 level as a percentage amount above the entry price or based on RR.
When Both Percentage (%) Based and RR Based Take Profit Levels Are Off:
The script will adjust the take profit level to the higher FRMA band set within user inputs.
Calculation:
Take profit level = Higher FRMA band length/timeframe specified by the user.
This ensures that when neither percentage-based nor risk-to-reward-based take profit methods are enabled, the strategy defaults to using the higher FRMA band as the take profit level, providing a consistent and structured approach to profit-taking.
For TP1 and TP2, it's specifying the price levels at which the position is partially or fully closed based on the chosen method (percentage or RR) above the entry price.
These calculations are crucial for managing risk and optimizing profitability in the strategy.
⍺: BE/TP type (%/RR) | Σ: how many RR/% above the current price
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What's the ADR filter? What does it do? What are the underlying calculations?
The Average Day Range (ADR) measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
The period of the ADR filter used in this strategy is tied to the same period you've used for your initial stop-loss.
Users can define the minimum ADR they want to be met before the script looks for entry conditions.
ADR Bias Filter:
- Compares the current bar ADR with the ADR (Defined by user):
- If the current ADR is higher, it indicates that volatility has increased compared to ADR (DbU).(⬆)
- If the current ADR is lower, it indicates that volatility has decreased compared to ADR (DbU).(⬇)
Calculations:
1. Calculate ADR:
- Average the high prices over the specified period.
- Average the low prices over the same period.
- Find the difference between these average values in %.
2. Current ADR vs. ADR (DbU):
- Calculate the ADR for the current bar.
- Calculate the ADR (DbU).
- Compare the two values to determine if volatility has increased or decreased.
By using the ADR filter, the strategy ensures that trades are only taken in favorable market conditions where volatility meets the user's defined threshold, thus optimizing entry conditions and potentially improving the overall performance of the strategy.
>: Minimum required ADR for entry | %: Current ADR comparison to ADR of 14 days ago.
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What's the probability filter? What are the underlying calculations?
The probability filter is designed to enhance trade entries by using buyside liquidity and probability analysis to filter out unfavorable conditions.
This filter helps in identifying optimal entry points where the likelihood of a profitable trade is higher.
Calculations:
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Equilibrium levels.
3. Understanding probability calculations
1. Upon the formation of a new range, the script waits for the price to reach and tap into equilibrium or the 50% level. Status: "⏸" - Inactive
2. Once equilibrium is tapped into, the equilibrium status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
5. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
Example - BSL > 55%
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What's the range length Filter? What are the underlying calculations?
The range length filter identifies the price distance between buyside and sellside liquidity levels in percentage terms. When enabled, the script only looks for entries when the minimum range length is met. This helps ensure that trades are taken in markets with sufficient price movement.
Calculations:
Range Length (%) = ( ( Buyside Level − Sellside Level ) / Current Price ) ×100
Range Bias Identification:
Bullish Bias: The current range price has broken above the previous external swing high.
Bearish Bias: The current range price has broken below the previous external swing low.
Example - Range length filter is enabled | Range must be above 1%
>: Minimum required range length for entry | %: Current range length percentage in a (Bullish/Bearish) range
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What's the day filter Filter, what does it do?
The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style.
Customize Session Time:
Users can define the start and end times for the trading session.
This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours.
Select Days:
Users can select which days of the week to include in the strategy.
This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays).
Benefits:
Focus on Optimal Trading Periods:
By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities.
Avoid Unfavorable Conditions:
Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays.
Increased Flexibility: The filter provides increased flexibility, allowing traders to adapt the strategy to their specific needs and preferences.
Example - Day filter | Session Filter
θ: Session time | Exchange time-zone
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What tables are available in this script?
Table Type:
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- OFF: Hides the performance table.
Profit Color:
- Allows users to set the color for representing profit in the performance table, helping to quickly distinguish profitable periods.
Loss Color:
- Allows users to set the color for representing loss in the performance table, helping to quickly identify loss-making periods.
These customizable tables provide traders with flexible and detailed performance analysis, aiding in better strategy evaluation and optimization.
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User-input styles and customizations:
To facilitate studying historical data, all conditions and rules can be applied to your charts. By plotting background colors on your charts, you'll be able to identify what worked and what didn't in certain market conditions.
Please note that all background colors in the style are disabled by default to enhance visualization.
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How to Use This Algobuilder to Create a Profitable Edge and System:
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker or prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 100 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade value is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
Automation:
- Once you’re confident in your strategy, you can use the automation section to connect the algorithm to your broker or prop firm.
- Trade a fully automated and backtested trading strategy, allowing for hands-free execution and management.
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What makes this strategy original?
1. Incorporating direct integration of probabilities into the strategy.
2. Utilizing built-in market structure-based moving averages across various timeframes.
4. Offering both investing and trading strategies, facilitating optimization from different perspectives.
5. Automation for efficient execution.
6. Providing a summary table for instant access to key parameters of the strategy.
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How to use automation?
For Traders:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Enter your PineConnector License ID in the designated field.
3. Specify the desired risk level.
4. Provide the Metatrader symbol.
5. Check for chart updates to ensure the automation table appears on the top right corner, displaying your License ID, risk, and symbol.
6. Set up an alert with the strategy selected as Condition and the Message as {{strategy.order.alert_message}}.
7. Activate the Webhook URL in the Notifications section, setting it as the official PineConnector webhook address.
8. Double-check all settings on PineConnector to ensure the connection is successful.
9. Create the alert for entry/exit automation.
For Investors:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Choose "Investing" in the user-input settings.
3. Create an alert with a specified name.
4. Customize the notifications tab to receive alerts via email.
5. Buying/selling alerts will be triggered instantly upon entry or exit order execution.
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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.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
RWEDT Weighted Moving Average Overview:
The RWEDT MA, which is short for rolling, weighted, exponential, double exponential, and triple exponential, is a group of moving averages that were subjected to a log transformation to deal with the skewness of price, and the weight of each of these moving averages was also used for calculating the standard deviations from the mean.
Clearing a misunderstanding on Standard Deviation Bands and Moving Averages
Bands, such as standard deviation bands, are frequently misinterpreted as indicators of support and resistance levels or as "mean-reverting" indicators." However, this is not their intended purpose. Bands are statistical tools that provide ranges within which price (in this case) movements are expected to occur based on historical data. Deviations beyond these bands suggest a decrease in confidence in the model rather than a reversal back to a moving average or a "support/resistance level."
Example : Assuming you correctly applied a log transformation to your standard deviation bands to remove the right skew, and assuming your data closely resembles a normal distribution or some other type of symmetrical distribution, then the probability of a value being in the 2 standard deviation range is around 95%. This does not mean it will reject or go up, or mean revert. The price won't bounce from -2 STDEV 95% of the time; that is incorrect. It just tells you that around 95% of the values will be within the 2 SD range.
Moving averages, including the ones in this indicator, are often misinterpreted as signals of trend reversals or levels of "bouncing." What moving averages actually tell you is what the expected value is. It does not show where you expect the price to be in the future; it tells you that based on the lookback, the expected value is in the center, and the confidence you have in the estimate is the confidence interval or the standard deviation range.
Example: Let's say you enter a trade with a positive expected value (expecting the price to drift up), and we have the limits set at 95%. What it tells you is that as long as the price stays within the limits, you can be 95% certain the model isn't completely random. As the price moves further away from the average, or expected value, it tells you that the model is less likely to be correct.
RWEDT MA
This indicator comes with 5 moving averages, each log transformed to reduce the skewness and asymmetry of price as much as possible
Rolling
Weighted
Exponential
Double Exponential
Triple Exponential
The band standard deviation can be adjusted, and the standard deviations have the weight of all of the moving averages that are present in the indicator. The weight is not customizable.
Why this indicator is useful:
This indicator can tell you what the expected value is. Above the moving average signifies a positive expected value, and below the moving average signifies a negative expected value. As previously stated above, the price moving further from the expected value lets you know that you should have less confidence that the model is "correct," and you could see this as taking profits as the price deviates further from the expected value.
The importance of log-transforming prices for standard deviations and moving averages.
Symmetry: Logarithmic transformations can help achieve symmetry in the distribution of price data. Stock prices, for example, exhibit some type of right-skewed distribution, where large positive price movements are more common than large negative movements. Price also can't go below 0 but can go towards positive infinity, so having a right-skew makes sense; all the outliers will be towards infinity, while all the average occurrences are "near" 0.
Stabilizing Variance: Price data typically exhibit heteroscedasticity, meaning that the variance of price movements changes over time. Log transformations can stabilize the variance and make it more consistent across different price levels. This is important for ensuring that the variability in price moves is not disproportionately influenced by extreme values.
Statistical Assumptions: Many retail indicators like Bollinger Bands use the standard deviation and moving average models of a normal distribution to attempt to model price, whose distribution more closely resembles some type of right-skew distribution. Even with the log-transformation, it still won't always resemble a perfect symmetrical distribution, and you still should not use it for mean reversion. You can still use it to understand the expected value and whether or not you should have confidence in your model.
Leading T3Hello Fellas,
Here, I applied a special technique of John F. Ehlers to make lagging indicators leading. The T3 itself is usually not realling the classic lagging indicator, so it is not really needed, but I still publish this indicator to demonstrate this technique of Ehlers applied on a simple indicator.
The indicator does not repaint.
In the following picture you can see a comparison of normal T3 (purple) compared to a 2-bar "leading" T3 (gradient):
The range of the gradient is:
Bottom Value: the lowest slope of the last 100 bars -> green
Top Value: the highest slope of the last 100 bars -> purple
Ehlers Special Technique
John Ehlers did develop methods to make lagging indicators leading or predictive. One of these methods is the Predictive Moving Average, which he introduced in his book “Rocket Science for Traders”. The concept is to take a difference of a lagging line from the original function to produce a leading function.
The idea is to extend this concept to moving averages. If you take a 7-bar Weighted Moving Average (WMA) of prices, that average lags the prices by 2 bars. If you take a 7-bar WMA of the first average, this second average is delayed another 2 bars. If you take the difference between the two averages and add that difference to the first average, the result should be a smoothed line of the original price function with no lag.
T3
To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works:
Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.'
Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.'
Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.'
The formula for the T3 moving average is as follows:
T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3)
By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action.
Thanks for checking this out and give a boost, if you enjoyed the content.
Best regards,
simwai
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Credits to @loxx
YinYang TrendTrend Analysis has always been an important aspect of Trading. There are so many important types of Trend Analysis and many times it may be difficult to identify what to use; let alone if an Indicator can/should be used in conjunction with another. For these exact reasons, we decided to make YinYang Trend. It is a Trend Analysis Toolkit which features many New and many Well Known Trend Analysis Indicators. However, everything in there is added specifically for the reason that it may work well in conjunction with the other Indicators prevalent within. You may be wondering, why bother including common Trend Analysis, why not make everything unique? Ideally, we would, however, you need to remember Trend Analysis may be one of the most common forms of charting. Therefore, many other traders may be using similar Trend Analysis either through plotting manually or within other Indicators. This all boils down to Psychology; you are trading against other traders, who may be seeing some of the similar information you are, and therefore, you may likewise want to see this information. What affects their trading decisions may affect yours as well.
Now enough about Trend Analysis, what is within this Indicator, and what does it do? Well, first let’s quickly mention all of its components, then we will, through a Tutorial, discuss each individually and finally how each comes together as a cohesive whole. This Indicator features many aspects:
Bull and Bear Signals
Take Profit Signals
Bull and Bear Zones
Information Tables displaying: (Boom Meter, Bull/Bear Strength, Yin/Yang State)
16 Cipher Signals
Extremes
Pivots
Trend Lines
Custom Bollinger Bands
Boom Meter Bar Colors
True Value Zones
Bar Strength Indexes
Volume Profile
There are many things to cover within our Tutorial so let's get started, chronologically from the list above.
Tutorial:
Bull and Bear Signals:
We’ve zoomed out quite a bit for this example to help give you a broader aspect of how these Bull and Bear signals work. When a signal appears, it is displaying that there may be a large amount of Bullish or Bearish Trend Analysis occurring. These signals will remain in their state of Bull or Bear until there is enough momentum change that they change over. There are a couple Options within the Settings that dictate when/where/why these signals appear, and this example is using their default Settings of ‘Medium’. They are, Purchase Speed and Purchase Strength. Purchase Speed refers to how much Price Movement is needed for a signal to occur and Purchase Strength refers to how many verifications are required for a signal to occur. For instance:
'High' uses 15 verifications to ensure signal strength.
'Medium' uses 10 verifications to ensure signal strength.
'Low' uses 5 verifications to ensure signal strength.
'Very Low' uses 3 verifications to ensure signal strength.
By default it is set to Medium (10 verifications). This means each verification is worth 10%. The verifications used are also relevant to the Purchase Speed; meaning they will be verified faster or slower depending on its speed setting. You may find that Faster Speeds and Lower Verifications may work better on Higher Time Frames; and Slower Speeds and Higher Verifications may work better on Lower Time Frames.
We will demonstrate a few examples as to how the Speed and Strength Settings work, and why it may be beneficial to adjust based on the Time Frame you’re on:
In this example above, we’ve kept the same Time Frame (1 Day), and scope; but we’ve changed Purchase Speed from Medium->Fast and Purchase Strength from Medium-Very Low. As you can see, it now generates quite a few more signals. The Speed and Strength settings that you use will likely be based on your trading style / strategy. Are you someone who likes to stay in trades longer or do you like to swing trade daily? Likewise, how do you go about identifying your Entry / Exit locations; do you start on the 1 Day for confirmation, then move to the 15/5 minute for your entry / exit? How you trade may determine which Speed and Strength settings work right for you. Let's jump to a lower Time Frame now so you can see how it works on the 15/5 minute.
Above is what BTC/USDT looks like on the 15 Minute Time Frame with Purchase Speed and Strength set to Medium. You may note that the signals require a certain amount of movement before they get started. This is normal with Medium and the amount of movement is generally dictated by the Time Frame. You may choose to use Medium on a Lower Time Frame as it may work well, but it may also be best to change it to a little slower.
We are still on the 15 Minute Time Frame here, however we simply changed Purchase Speed from Medium->Slow. As you can see, lots of the signals have been removed. Now signals may ‘hold their ground’ for much longer. It is important to adjust your Purchase Speed and Strength Settings to your Time Frame and personalized trading style accordingly.
Above we have now jumped down to the 5 Minute Time Frame. Our Purchase Speed is Slow and our Purchase Strength is Medium. We can see it looks pretty good, although there is some signal clustering going on in the middle there. If we change our Settings, we may be able to get rid of that.
We have changed our Purchase Speed from Slow->Snail (Slowest it can go) and Purchase Strength from Medium->Very Low (Lowest it can go). Changing it from Slow-Snail helped get rid of the signal clustering. You may be wondering why we lowered the Strength from Medium->Very Low, rather than going from Medium->High. This is a use case scenario and one you’ll need to decide for yourself, but we noticed when we changed the Speed from Slow->Snail that the signal clustering was gone, so then we checked both High and Very Low for Strengths to see which produced the best looking signal locations.
Please remember, you don’t have to use it the exact way we’ve displayed in this Tutorial. It is meant to be used to suit your Trading Style and Strategy. This is why we allow you to modify these settings, rather than just automating the change based on Time Frames. You’ll likely need to play around with it, as you’ll notice different settings may work better on certain pairs and Time Frames than others.
Take Profit Signals:
We’ve reset our Purchase Settings, everything is on defaults right now at Medium. We’ve enabled Take Profit signals. As you can see there are both Take Profit signals for the Bulls and the Bears. These signals are not meant to be used within automation. In fact, none of this indicator is. These signals are meant to show there has been a strong change in momentum, to such an extent that the signal may switch from its current (Bull or Bear) and now may be a good time to Take Profit. Your Take Profit Settings likewise has a Speed and Strength, and you can set them differently than your Purchase Settings. This is in case you want to Take Profit in a different manner than your Purchase Signals. For instance:
In the example above we’ve kept Purchase Strength and Speed at Medium but we changed our Take Profit Speed from Medium->Snail and our Take Profit Strength from medium->Very Low. This greatly reduces the amount of Take Profit signals, and in some cases, none are even produced. This form of Take Profit may act more as a Trailing Take Profit that if it’s not hit, nothing appears.
In this example we have changed our Purchase Speed from Medium->Fast, our Purchase Strength from Medium->Very Low. We’ve also changed our Take Profit Speed from Snail->Medium and kept our Take Profit Strength on Very Low. Now we may get our signals quicker and likewise our Take Profit may be more rare. There are many different ways you can set up your Purchase and Take Profit Settings to fit your Trading Style / Strategy.
Bull and Bear Zones:
We have disabled our Take Profit locations so that you can see the Bull and Bear Zones. These zones change color when the Signals switch. They may represent some strong Support and Resistance locations, but more importantly may be useful for visualizing changes in momentum and consolidation. These zones allow you to see various Moving Averages; and when they start to ‘fold’ (cross) each other you may see changes in momentum. Whereas, when they’re fully stretched out and moving all in the same direction, it can provide insight that the current rally may be strong. There is also the case where they look like they’re ‘twisted’ together. This happens when all of the Moving Averages are very close together and may be a sign of Consolidation. We will go over a few examples of each of these scenarios so you can understand what we’re referring to.
In this example above, there are a few different things happening. First we have the yellow circle, where the final and slowest Moving Average (MA) crossed over and now all of the MA’s that form the zone are Bullish. You can see this in the white circle where there are no MA’s that are crossing each other. Lastly, within the blue circle, we can see how some of the faster MA’s are crossing under each other. This is a bullish momentum change. The Faster moving MA’s will always be the first ones to cross before the Slower ones do. There is a color scheme in place here to represent the Speed of the MA within the Zone. Light blue is the fastest moving Bull color -> Light Green and finally -> Dark Green. Yellow is the fastest moving Bear color -> Orange and finally -> Red / Dark Red within the Zone.
Next we will review a couple different examples of what Consolidation looks like and why it is very important to look out for. Consolidation is when Most, if not All of the MA’s are very tightly ‘twisted’ together. There is very little spacing between almost all of the MA’s in the example above; highlighted by the white circle. Consolidation is important as it may indicate a strong price movement in either direction will occur soon. When the price is consolidating it means it has had very little upwards or downwards movement recently. When this happens for long enough, MA’s may all get very similar in value. This may cause high volatility as the price tries to break out of Consolidation. Let's look at another example.
Above we have two more examples of what Consolidation looks like and how high Volatility may occur after the Consolidation is broken. Please note, not all Consolidation will create high Volatility but it is something you may want to look out for.
Information Tables displaying: (Boom Meter, Bull/Bear Strength, Yin/Yang State):
Information tables are a very important way of displaying information. It contains 3 crucial pieces of information:
Boom Meter
Bull/Bear Strength
Yin/Yang State
Boom Meter is a meter that goes from 0-100% and displays whether the current price is Dumping (0 - 29%), Consolidating (30 - 70%) or Pumping (71 - 100%). The Boom Meter is meant to be a Gauge to how the price is currently fairing. It is composed of ~50 different calculations that all vary different weights to calculate its %. Many of the calculations it uses are likewise used in other things, such as the Bull/Bear Strength, Bull/Bear Zone MA cross’, Yin/Yang State, Market Cipher Signals, RSI, Volume and a few others. The Boom Meter, although not meant to be used solely to make purchase decisions, may give you a good idea of current market conditions considering how many different things it evaluates.
Bull/Bear Strength is relevant to your Purchase Speed and Strength. It displays which state it is currently in, and the % it is within that state. When a % hits 0, is when the state changes. When states change, they always start at 100% initially and will go down at the rate of Purchase Strength (how many verifications are needed). For instance, if your Purchase Strength is set to ‘Medium’ it will move 10% per verification +/-, if it is set to High, it will move 6.67% per verification +/-. Bull/Bear Strength is a good indicator of how well that current state is fairing. For instance if you started a Long when the state changed to Bull and now it is currently at Bull with 20% left, that may be a good indication it is time to get out (obviously refer to other data as well, but it may be a good way to know that the state is 20% away from transitioning to Bear).
Yin/Yang State is the strongest MA cross within our Indicator. It is unique in the sense that it is slow to change, but not so much that it moves slowly. It isn’t as simple as say a Golden/Death Cross (50/200), but it crosses more often and may hold similar weight as it. Yin stands for Negative (Bearish) and Yang stands for Positive (Bullish). The price will always be in either a state of Yin or Yang, and just because it is in one, doesn’t mean the price can’t/won’t move in the opposite direction; it simply means the price may be favoring the state it is in.
16 Cipher Signals:
Cipher Signals are key visuals of MA cross’ that may represent price movement and momentum. It would be too confusing and hard to decipher these MA’s as lines on a chart, and therefore we decided to use signals in the form of symbols instead. There are 12 Standard and 4 Predictive/Confirming Cipher signals. The Standard Cipher signals are composed of 6 Bullish and 6 Bearish (they all have opposites that balance each other out). There can never be 2 of the same signal in a row, as the Bull and Bear cancel each other out and it's always in a state of one or the other. When all 6 Bullish or Bearish signals appear in a row, very closely together, without any of the opposing signals it may represent a strong momentum movement is about to occur.
If you refer to the example above, you’ll see that the 6 Bullish Cipher signals appeared exactly as mentioned above. Shortly after the Green Circle appeared, there was a large spike in price movement in favor of the Bulls. Cipher signals don’t need to appear in a cluster exactly like the white circle in this photo for momentum to occur, but when it does, it may represent volatility more than if it is broken up with opposing signals or spaced out over a longer time span.
Above is an example of the opposite, where all 6 Bearish Cipher signals appeared together without being broken by a Bullish Cipher signal or being too far spaced out. As you can see, even though past it there was a few Bullish signals, they were quickly reversed back to Bearish before a large price movement occurred in favor of the Bears.
In the example above we’ve changed Cipher signals to Predictive and Confirming. Support Crosses (Green +) and Blood Diamonds (Red ♦) are the normal Cipher Signals that appear within the Standard Set. They are the first Cipher Signal that appears and are the most common ones as well. However, just because they are the first, that doesn’t mean they aren’t a powerful Cipher signal. For this reason, there are Predictive and Confirming Cipher signals for these. The Predictive do just that, they appear slightly sooner (if not the same bar) as the regular and the Confirming appear later (1+ bars usually). There will be times that the Predictive appears, but it doesn’t resort to the Regular appearing, or the Regular appears and the Confirming doesn’t. This is normal behavior and also the purpose of them. They are meant to be an indication of IF they may appear soon and IF the regular was indeed a valid signal.
Extremes:
Extremes are MA’s that have a very large length. They are useful for seeing Cross’ and Support and Resistance over a long period of time. However, because they are so long and slow moving, they might not always be relevant. It’s usually advised to turn them on, see if any are close to the current price point, and if they aren’t to turn them off. The main reason being is they stretch out the chart too much if they’re too far away and they also may not be relevant at that point.
When they are close to the price however, they may act as strong Support and Resistance locations as circled in the example above.
Pivots:
Pivots are used to help identify key Support and Resistance locations. They adjust on their own in an attempt to keep their locations as relevant as possible and likewise will adjust when the price pushes their current bounds. They may be useful for seeing when the Price is currently testing their level as this may represent Overbought or Oversold. Keep in mind, just because the price is testing their levels doesn’t mean it will correct; sometimes with high volatility or geopolitical news, movement may continue even if it is exhibiting Overbought or Oversold traits. Pivots may also be useful for seeing how far the price may correct to, giving you a benchmark for potential Take Profit and Stop Loss locations.
Trend Lines:
Trend Lines may be useful for identifying Support and Resistance locations on the Vertical. Trend Lines may form many different patterns, such as Pennants, Channels, Flags and Wedges. These formations may help predict and drive the price in specific directions. Many traders draw or use Indicators to help create Trend Lines to visualize where these formations will be and they may be very useful alone even for identifying possible Support and Resistance locations.
If you refer to the previous example, and now to this example, you’ll notice that the Trend Line that supported it in 2023 was actually created in June 2020 (yellow circle). Trend Lines may be crucial for identifying Support and Resistance locations on the Vertical that may withhold over time.
Custom Bollinger Bands:
Bollinger Bands are used to help see Movement vs Consolidation Zones (When it's wide vs narrow). It's also very useful for seeing where the correction areas may be. Price may bounce between top and bottom of the Bollinger Bands, unless in a pump or dump. The Boom Meter will show you whether it is currently: Dumping, Consolidation or Pumping. If combined with Boom Meter Bar Colors it may be a good indication if it will break the Bollinger Band (go outside of it). The Middle Line of the Bollinger Band (White Line) may be a very strong support / resistance location. If the price closes above or below it, it may be a good indication of the trend changing (it may indicate one of the first stages to a pump or dump). The color of the Bollinger Bands change based on if it is within a Bull or Bear Zone.
What makes this Bollinger Band special is not only that it uses a custom multiplier, but it also incorporates volume to help add weight to the calculation.
Boom Meter Bar Colors:
Boom Meter Bar Colors are a way to see potential Overbought and Oversold locations on a per bar basis. There are 6 different colors within the Boom Meter bar colors. You have:
Overbought and Very Bullish = Dark Green
Overbought and Slightly Bullish = Light Green
Overbought and Slight Bearish = Light Red
Oversold and Very Bearish = Dark Red
Oversold and Slightly Bearish = Orange
Oversold and Slightly Bullish = Light Purple
When there is no Boom Meter Bar Color prevalent there won’t be a color change within the bar at all.
Just because there is a Boom Meter Bar Color change doesn’t mean you should act on it purchase or sell wise, but it may be an indication as to how that bar is fairing in an Overbought / Oversold perspective. Boom Meter Bar Colors are mainly based on RSI but do take in other factors like price movement to determine if it is Overbought or Oversold. When it comes to Boom Meter Bar Color, you should take it as it is, in the sense that it may be useful for seeing how Individual bars are fairing, but also note that there may be things such as:
When there is Very Overbought (Dark Green) or Very Oversold (Dark Red), during massive pump or dumps, it will maintain this color. However, once it has lost ‘some’ momentum it will likely lose this color.
When there has been a massive Pump or Dump, and there is likewise a light purple or light red, this may mean there is a correction or consolidation incoming.
True Value Zones:
True Value zones are our custom way of displaying something that is similar to a Bollinger Band that can likewise twist like an MA cross. The main purpose of it is to display where the price may reside within. Much like a Bollinger Band it has its High and Low within its zone to specify this location. Since it has the ability to cross over and under, it has the ability to specify what it thinks may be a Bullish or Bearish zone. This zone uses its upper level to display what may be a Resistance location and its lower level to display what may be a Support location. These Support and Resistance locations are based on Momentum and will move with the price in an attempt to stay relevant.
You may use these True Values zones as a gauge of if the price is Overbought or Oversold. When the price faces high volatility and moves outside of the True Value Zones, it may face consolidation or likewise a correction to bring it back within these zones. These zones may act as a guideline towards where the price is currently valued at and may belong within.
Bar Strength Indexes:
Bar Strength Indexes are our way of ranking each bar in correlation to the last few. It is based on a few things but is highly influenced on Open/Close/High/Low, Volume and how the price has moved recently. They may attempt to ‘rate’ each bar and how Bullish/Bearish each of these bars are. The Green number under the bar is its Bullish % and the Red number above the bar is its Bearish %. These %’s will always equal 100% when combined together. Bar Strength Indexes may be useful for seeing when either Bullish or Bearish momentum is picking up or when there may be a reversal / consolidation.
These Bar Strength Indexes may allow you to decipher different states. If you refer to the example above, you may notice how based on how the numbers are changing, you may see when it has entered / exited Bullish, Bearish and Consolidation. Likewise, if you refer to the current bar (yellow circle), you can see that the Bullish % has dropped from 93 to 49; this may be signifying that the Bullish movement is losing momentum. You may use these changes in Bar Indexes as a guide to when to enter / end trades.
Volume Profile:
Volume Profile has been something that has been within TradingView for quite some time. It is a very useful way of seeing at what Horizontal Price there has been the most volume. This may be very useful for seeing not only Support and Resistance locations based on Volume, but also seeing where the majority of Limit Orders are placed. Limit Orders are where traders decide they want to either Buy / Sell but have the order placed so the trade won’t happen until the price reaches a certain amount. Either through many orders from many traders, or a single order from a ‘Whale’ (trader with a lot of capital); you may see Support and Resistance at specific Price Points that have large Volume.
Many Volume Profile Indicators feature a breakdown of all the different locations of volume, along with a Point Of Control (POC) line to designate where the most Volume has been. To try and reduce clutter within our already very saturated Toolkit Indicator, we’ve decided to strip our Volume Profile to only display this POC line. This may allow you to see where the crucial Volume Support and Resistance is without all of the clutter.
You may be wondering, well how important is this Volume Profile POC line and how do I go about using it? Aside from it being a gauge towards where Support and Resistance may be within Volume, it may also be useful for identifying good Long/Short locations. If you think of the line as a ‘Battle’ between the Bulls and Bears, they’re both fighting over that line. The Bears are wanting to break through it downwards, and the Bulls are wanting to break through it upwards. When one side has temporarily won this battle, this means they may have more Capital to push the price in their direction. For instance, if both the Bulls and the Bears are fighting over this POC price, that means the Bears think that price is a good spot to sell; however, the Bulls also deem that price to be a good point to buy. If the Bulls were to win this battle, that means the Bears either canceled their orders to reevaluate, or all of their orders have been completed from the Bulls buying them all. What may happen after that is, if the Bulls were able to purchase all of these Limit Sell Orders, then they may still have more Capital left to continue to pressure the price upwards. The same may be true for if the Bears were to win this ‘Battle’.
How to use YinYang Trend as a cohesive whole:
Hopefully you’ve read and understand how each aspect of this Indicator works on its own, as knowing how/what they each do is important to understanding how it is used as a cohesive whole. Due to the fact that this Toolkit of an Indicator displays so much data, you may find it easier to use and understand when you’re zoomed in a little, somewhat like we are in this example above.
If we refer to the example above, you may like us, deduce a few things:
1. The current price may be VERY Overbought. This may be seen by a few different things:
The Boom Meter Bar Colors have been exhibiting a Dark Green color for 6 bars in a row.
The price has continuously been moving the High (red) Pivot Upwards.
Our Boom Meter displays ‘Pumping’ at 100%.
The price broke through a Downward Trend Line that was created in February of 2022 at 45,000 like it was nothing.
The Bar Strength Index hit a Bullish value of 93%.
The Price broke out of the Bollinger Bands and continues to test its upper levels.
The Low is much greater than our fastest moving MA that creates the Purchase Zones.
The Price is vastly outside of the True Value Zone.
The Bar Strength Index of our current bar is 50% bullish, which is a massive decrease from the previous bar of 93%. This may indicate that a correction is coming soon.
2. Since we’ve identified the current price may be VERY Overbought, next we need to identify if/when/to where it may correct to:
We’ve created a new example here to display potential correction areas. There are a few places it has the ability to correct to / within:
The downward Trend Line (red) below the current bar sitting currently at 32,750. This downward Trend Line is at the same price point as the Fastest MA of our Purchase Zone which may provide some decent Support there.
Between two crucial Pivot heights, within a zone of 30,000 to 31,815. This zone has the second fastest MA from the Purchase Zone right near the middle of it at 31,200 which may act as a Support within the Zone. Likewise there is the Bollinger Band Basis which is also resting at 30,000 which may provide a strong Support location here.
If 30,000 fails there may be a correction all the way to the bottom of our True Value Zone and the top of one of our Extremes at 27,850.
If 27,850 fails it may correct all the way to the bottom of our Purchase Zone / lowest of our Extremes at 27,350.
If all of the above fails, it may test our Volume Profile POC of 26,430. If this POC fails, the trend may switch to Bearish and continue further down to lower levels of Support.
The price can always correct more than the prices mentioned above, but considering overall this Indicator is favoring the Bulls, we will tailor this analysis in Favor of the Bullish Momentum maintaining even during this correction. For these reasons, we think the price may correct between the 30,000 and 31,815 zone before continuing upwards and maintaining this Bullish Momentum.
Please note, these correction estimates are just that, they’re estimates. Aside from the fact that the price is very overbought right now and our Bar Strength Index may be declining (bar hasn’t closed yet); the Boom Meter Strength remains at 100%, meaning there may not be much Bearish momentum changes happening yet. We just want to show you how an Preemptive analysis may be done before there are even Bearish Cipher Signals appearing.
Using this Indicator, you may be able to decipher Entry and Exits. In the previous example, we went over how you may use it to see where a correction (Exit / Take Profit) may be and how far this correction may go. In this example above we will be discussing how to identify Entry locations. We will be discussing a Bullish Buy entry but the same rules apply for a Bearish Sell Entry just the opposite with the Cipher Signals.
If you refer to where we circled in white, this is where the Purchase Zones faced Consolidation. When the Purchase Zones all get tight and close together like that, this may represent Volatility and Momentum in either direction may occur soon.
This was then followed by all 6 of the Standard Cipher Signals closely in succession to each other. This means the Momentum may be favoring the Bulls. If this was likewise all 6 of the Bearish Cipher Signals closely in succession, than the momentum change would favor the Bears.
If you were looking for an entry, and you saw Consolidation with the Purchase Zones and then shortly after you saw the Green Circle and Blue Flag (they can swap order); this may now be a good Entry location.
We will conclude this Tutorial here. Hopefully this has taught you how this Trend Analysis Toolkit may help you locate multiple different types of important Support and Resistance locations; as well as possible Entry and Exit locations.
Settings:
1. Bull/Bear Zones:
1.1. Purchase Speed (Bull/Bear Signals and Take Profit Signals):
Speed determines how much price movement is needed for a signal to occur.
'Sonic' uses the extremities to try and get you the best entry and exit points, but is so quick, its speed may reduce accuracy.
'Fast' may attempt to capitalize on price movements to help you get SOME or attempt to lose LITTLE quickly.
'Medium' may attempt to get you the most optimal entry and exit locations, but may miss extremities.
'Slow' may stay in trades until it is clear that momentum has changed.
'Snail' may stay in trades even if momentum has changed. Snail may only change when the price has moved significantly (This may result in BIG gains, but potentially also BIG losses).
1.2. Purchase Strength (Bull/Bear Signals and Take Profit Signals):
Strength ensures a certain amount of verifications required for signals to happen. The more verifications the more accurate that signal is, but it may also change entry and exit points, and you may miss out on some of the extremities. It is highly advised to find the best combination between Speed and Strength for the TimeFrame and Pair you are trading in, as all pairs and TimeFrames move differently.
'High' uses 15 verifications to ensure signal strength.
'Medium' uses 10 verifications to ensure signal strength.
'Low' uses 5 verifications to ensure signal strength.
'Very Low' uses 3 verifications to ensure signal strength.
2. Cipher Signals:
Cipher Signals are very strong EMA and SMA crosses, which may drastically help visualize movement and help you to predict where the price will go. All Symbols have counter opposites that cancel each other out (YinYang). Here is a list, in order of general appearance and strength:
White Cross / Diamond (Predictive): The initial indicator showing trend movement.
Green Cross / Diamond (Regular): Confirms the Predictive and may add a fair bit of strength to trend movement.
Blue Cross / Diamond (Confirming): Confirms the Regular, showing the trend might have some decent momentum now.
Green / Red X: Gives momentum to the current trend direction, possibly confirming the Confirming Cross/Diamond.
Blue / Orange Triangle: may confirm the X, Possible pump / dump of decent size may be coming soon.
Green / Red Circle: EITHER confirms the Triangle and may mean big pump / dump is potentially coming, OR it just hit its peak and signifies a potential reversal correction. PAY ATTENTION!
Green / Red Flag: Oddball that helps confirm trend movements on the short term.
Blue / Yellow Flag: Oddball that helps confirm trend movements on the medium term (Yin / Yang is the long term Oddball).
3. Bull/Bear Signals:
Bear and Bull signals are where the momentum has changed enough based on your Purchase Speed and Strength. They generally represent strong price movement in the direction of the signal, and may be more reliable on higher TimeFrames. Please don’t use JUST these signals for analysis, they are only meant to be a fraction of the important data you are using to make your technical analysis.
4. Take Profit Signals:
Take Profit signals are guidelines that momentum has started to change back and now may be a good time to take profit. Your Take Profit signals are based on your Take Profit Speed and Strength and may be adjusted to fit your trading style.
5. Information Tables:
Information tables display very important data and help to declutter the screen as they are much less intrusive compared to labels. Our Information tables display: Boom Meter, Purchase Strength of Bull/Bear Zones and Yin/Yang State.
Boom Meter: Uses over 50 different calculations to determine if the pair is currently 'Dumping' (0-29%), 'Consolidating' (30-70%), or 'Pumping' (71-100%).
Bull / Bear Strength: Shows the strength of the current Bull / Bear signal from 0-100% (Signals start at 100% and change when they hit 0%). The % it moves up or down is based on your 'Purchase Strength'.
Yin / Yang state: Is one of the strongest EMA/SMA crosses (long term Oddball) within this Indicator and may be a great indication of which way the price is moving. Do keep in mind if the price is consolidating when changing state, it may have the highest chance of switching back also. Once momentum kicks in and there is price movement the state may be confirmed. Refer to other Cipher Symbols, Extremes, Trend, BOLL, Boom %, Bull / Bear % and Bar colors when Bull / Bear Zones are consolidating and Yin / Yang State changes as this is a very strong indecision zone.
6. Bull / Bear Zones:
Our Bull / Bear zones are composed of 8 very important EMA lengths that may act as not only Support and Resistance, but they help to potentially display consolidation and momentum change. You can tell when they are getting tight and close together it may represent consolidation and when they start to flip over on each other it may represent a change in momentum.
7. MA Extremes:
Our MA Extremes may be 3 of the most important long term moving averages. They don’t always play a role in trades as sometimes they’re way off from the price (cause they’re extreme lengths), but when they are around price or they cross under or over each other, it may represent large changes in price are about to occur. They may be very useful for seeing strong resistance / support locations based on price averages. Extremes may transition from a Support to a Resistance based on its position above or below them and how many times the price has either bounced up off them (Supporting) or Bounced back down after hitting them (Resistance).
8. Pivots:
Pivots may be a very important indicator of support and resistance for horizontal price movement. Pivots may represent the current strongest Support and Resistance. When the Pivot changes, it means a new strong Support or Resistance has been created. Sometimes you'll notice the price constantly pushes the pivot during a massive Pump or Dump. This is normal, and may indicate high levels of volatility. This generally also happens when the price is outside of the Bollinger Bands and is also Over or Undervalued. The price usually consolidates for a while after something like this happens before more drastic movement may occur.
9. Trend Lines:
Trend lines may be one of the best indicators of support and resistance for diagonal price movement. When a Trend Line fails to hold it may be a strong indication of a dump. Keep a close eye to where Upward and Downward Trend Lines meet. Trend lines can create different trading formations known as Pennants, Flags and Wedges. Please familiarize yourself with these formations So you know what to look for.
10. Bollinger Bands (BOLL):
Bollinger Bands may be very useful, and ours have been customized so they may be even more accurate by using a modified calculation that also incorporates volume.
Bollinger Bands may be used to see Movement vs Consolidation Zones (When it’s wide vs narrow). It also may be very useful for seeing where the correction areas are likely to be. Price may bounce between top and bottom of the BOLL, unless perhaps in a pump or dump. The Boom Meter may show you whether it is currently: Dumping, Consolidation or Pumping, along with Boom Meter Bar Colors, may be a good indication if it will break the BOLL. The Middle Line of the BOLL (White Line) may be a very strong support / resistance line. If the price closes above or below it, it may be a good indication of the trend changing (it may be one of the first stages to a pump or dump).
11. Boom Meter Bar Colors:
Boom Meter bar colors may be very useful for seeing when the bar is Overbought or Underbought. There are 6 different types of boom meter bar colors, they are:
Dark Green: RSI may be very Overbought and price going UP (May be in a big pump. NOTICE, chance of small dump correction if Cherry Red bar appears).
Light Green: RSI may be slightly Overbought and price going UP (chance of small pump).
Light Purple: RSI may be very Underbought and price going UP (May have chance of small correction).
Dark Red: RSI may be very Underbought and price going DOWN (May be in a big dump. NOTICE, chance of small pump correction if Light Purple bar appears).
Light Orange: RSI may be slightly Underbought and price going DOWN (chance of small dump).
Cherry Red: RSI may be very Overbought and price going DOWN (Chance of small correction).
12. True Value Zone:
True Value Zones display zones that represent ranges to show what the price may truly belong within. They may be very useful for knowing if the Price is currently not valued correctly, which generally means a correction may happen soon. True Value Zones can swap from Bullish to Bearish and are represented by Red for Bearish and Green for Bullish. For example, if the price is ABOVE and OUTSIDE of the True Value Zone, this means it may be very overvalued and might correct to go back inside the True Value Zone. This correction may be done by either dumping in price back into the zone, or consolidating horizontally back into it over a longer period of time. Vice Versa is also true if it is BELOW and OUTSIDE of the True Value Zone.
13. Bar Strength Index:
Bar Strength Index may display how Bullish/Bearish the current bar is. The strength is important to help see if a pump may be losing momentum or vice versa if a dump may correct. Keep in mind, the Bar Strength Index does a small 'refresh' to account for new bars. It may help to keep the Index more accurate.
14. Volume Profile:
Volume Profiles may be important to know where the Horizontal Support/Resistance is in Price base on Volume. Our Volume Profile may identify the point where the most volume has occurred within the most relevant timeframe. Volume Profiles are helpful at identifying where Whales have their orders placed. The reason why they are so helpful at identifying whales is when the volume is profiled to a specific area, there may likely be lots of Limit Buy and/or Sells around there. Limit Buys may act as Support and Limit Sells may act as Resistance. It may be very useful to know where these lie within the price, similar to looking at Order Book Data for Whale locations.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
SOFEX High-End Indicators + BacktestingBINANCE:BTCUSDT.P BINANCE:ETHUSDT.P
Introducing the first publicly available suite of indicators for Bitcoin and Ethereum by Sofex - the High-End Indicators & Backtesting System.
🔬 Trading Philosophy
The High-End Indicators & Backtesting system offers both trend-following and mean-reversal algorithms to provide traders with a deep insight into the highly volatile cryptocurrency markets, known for their market noise and vulnerability to manipulation.
With these factors in mind, our indicators are designed to sidestep most potentially false signals. This is facilitated further by the "middle-ground" time frame (1 Hour) we use. Our focus is on the two largest cryptocurrencies: Bitcoin and Ethereum , which provide high liquidity, necessary for reliable trading.
Therefore, we recommend using our suite on these markets.
The backtesting version of the Sofex High-End Indicators includes mainly trend-following indicators. This is because our trading vision is that volatility in cryptocurrency markets is a tool that should be used carefully, and many times avoided. Furthermore, mean-reversal trading can lead to short-term profits, but we have found it less than ideal for long-term trading.
The script does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Based on our experience, it is preferable if traders remain neutral the majority of the time and only enter trades that can be exited in the foreseeable future. Trading just for the sake of it ultimately leads to loss in the long-run.
Expectations of performance should be realistic.
We also focus on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto our idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
We take pride in presenting this comprehensive suite of trading indicators, designed for both manual and automated use. Although automated use leads to increased efficiency, traders are free to incorporate any of our indicators into their own manual trading strategy.
⚙️ Indicators
By default, all indicators are enabled for both Long and Short trades.
Extreme Trend Breakouts
The Extreme Trend Breakouts indicator seeks to follow breakouts of support and resistance levels, while also accounting for the unfortunate fact that false signals can be generated on these levels. The indicator combines trend-breakout strategies with various other volatility and direction measurements. It works best in the beginning of trends.
Underpinning this indicator are renowned Perry Kaufman's Adaptive Moving Averages (PKAMA) alongside our proprietary adaptive moving averages. These dynamic indicators adjust their parameters based on recent price movements, attempting to catch trends while maintaining consistent performance in the long run.
In addition, our modification of the TTM Squeeze indicator further enhances the Extreme Trend Breakouts indicator, making it more responsive, especially during the initial stages of trends and filtering of "flat" markets.
High-Volatility Trend Follower
The High-Volatility Trend Follower indicator is based around the logic of evading market conditions where volatility is low (choppy markets) and aggressively following confirmed trends. The indicator works best during strong trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages our proprietary adaptive moving averages to identify and follow high-volatility trends effectively. Furthermore, it uses the Average Directional Index, Aroon Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations.
Low-Volatility Reversal
The Low-Volatility Reversal aims at plugging the holes that trend-following indicators ignore. It specifically looks for choppy markets. Using proven concepts such as Relative Strength Index and volume measurements, among others, this indicator finds local tops and bottoms with good accuracy. It works best in choppy markets with low to medium volatility. It has a downside that all reversals have, losing trades at the end of choppy markets and in the beginning of big trends.
This indicator, like the others, employs PKAMA in conjunction with our proprietary adaptive moving averages, and an Average PSAR indicator to seek out "sideways" markets. Furthermore, Bollinger Bands with an adaptive basis line is used, with the idea of trading against the short-term trends by looking at big deviations in price movement. The above mentioned indicators attempt to catch local tops and bottoms in markets.
Adaptive Trend Convergence
The Adaptive Trend Convergence aims at following trends while avoiding entering positions at local bottoms and tops. It does so by comparing a number of adaptive moving averages and looking for convergence among them. Adaptive filtering techniques for avoiding choppy markets are also used.
This indicator utilizes our proprietary adaptive moving averages, and an Average Price Range indicator to identify trend convergence and divergence effectively, preventing false signals during volatile market phases. It also makes use of Bollinger Bands with an adaptive moving average basis line and price-action adjusted deviation. Contrasting to the Low-Volatility Reversal condition described above, the Bollinger Bands used here attempt to follow breakouts outside of the lower and upper bands.
Double-Filtered Channel Breakouts
The Double-Filtered Channel Breakouts indicator is made out of adaptive channel-identifying indicators. The indicator then follows trends that significantly diverge from the established channels. This aims at following extreme trends, where rapid, continuous movements in either direction occur. This indicator works best in very strong trends and follows them relentlessly. However, these strong trends can end in strong reversals, and the indicator can be stopped out on the last trade.
Our Double-Filtered Channel Breakouts indicator is built on a foundation of adaptive channel indicators. We've harnessed the power of Keltner Channels and Bollinger Band Channels, with a similar approach used in the Adaptive Trend Convergence indicator. The basis and upper/lower bands of the channels do not rely on fixed deviation parameters, rather on adaptive ones, based on price action and volatility. This combination seeks to identify and follows extreme trends.
Direction Tracker
The Direction Tracker indicator is made out of a central slower, adaptive moving average that clearly recognizes global, long-term trends. Combined with direction and range indicators, among others, this indicator excels at finding the long-term trend and ignoring temporary pullbacks in the opposite direction. It works best at the beginning and middle of long and strong trends. It can fail at the end of trends and on very strong historical resistance lines (where sharp reversals are common).
Our Direction Tracker indicator integrates an adaptive SuperTrend indicator into its core, alongside our proprietary adaptive moving averages, to accurately identify and track long-term trends while mitigating temporary pullbacks. Furthermore, it uses Average True Range, ADX and other volatility indicators to attempt to catch unusual moves on the market early-on.
📟 Parameters Menu
To offer traders flexibility, our system comes with a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicators to your preferred cryptocurrency market.
Global Signal Direction: Set the global signal direction as Long, Short, or Both, depending on your trading strategy.
Global Sensitivity Parameter : Adjust the system's sensitivity to adapt to different trend-following conditions, particularly beneficial during higher-strength trends.
Source of Signals : Toggle individual indicators on or off according to your preference. By default, all indicators are enabled. Customize the indicators to trade Long, Short, or Both, aligning them with your desired market exposure.
Confirmation of Signals : Set the minimum number of confirmed signals on the same bar, ensuring signals are generated only when specific confirmation criteria are met. The default value is one, and it can be adjusted for both Long and Short signals.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Fib TSIFib TSI = Fibonacci True Strength Index
The Fib TSI indicator uses Fibonacci numbers input for the True Strength Index moving averages. Then it is converted into a stochastic 0-100 scale.
The Fibonacci sequence is the series of numbers where each number is the sum of the two preceding numbers. 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610...
TSI uses moving averages of the underlying momentum of a financial instrument.
Stochastic is calculated by a formula of high and low over a length of time on a scale of 0-100.
How to use Fib TSI:
100 = overbought
0 = oversold
Rising = bullish
Falling = bearish
crossover 50 = bullish
crossunder 50 = bearish
The default input settings are:
2 = Stoch D smoothing
3 = TSI signal
TSI uses 2 moving averages compared with each other.
5 = TSI fastest
TSI uses 2 moving averages compared with each other.
Default value is 3/5.
color = white
8 = TSI fast
TSI uses 2 moving averages compared with each other.
Default value is 5/8.
color = blue
13 = TSI mid
TSI uses 2 moving averages compared with each other.
Default value is 8/13.
color = orange
21 = TSI slow
TSI uses 2 moving averages compared with each other.
Default value is 13/21.
color = purple
34 = TSI slowest
TSI uses 2 moving averages compared with each other.
Default value is 21/34.
color = yellow
55 = Stoch K length
All total / 5 = All TSI
color rising above 50 = bright green
color falling above 50 = mint green
color falling below 50 = bright red
color rising below 50 = pink
Up bullish reversal = green arrow up
bullish trend = green dots
Down bearish reversal = red arrow down
bearish trend = red dots
Horizontal lines:
100
75
50
25
0
2 different visual options example snapshot:
Extended Moving Average (MA) LibraryThis Extended Moving Average Library is a sophisticated and comprehensive tool for traders seeking to expand their arsenal of moving averages for more nuanced and detailed technical analysis.
The library contains various types of moving averages, each with two versions - one that accepts a simple constant length parameter and another that accepts a series or changing length parameter.
This makes the library highly versatile and suitable for a wide range of strategies and trading styles.
Moving Averages Included:
Simple Moving Average (SMA): This is the most basic type of moving average. It calculates the average of a selected range of prices, typically closing prices, by the number of periods in that range.
Exponential Moving Average (EMA): This type of moving average gives more weight to the latest data and is thus more responsive to new price information. This can help traders to react faster to recent price changes.
Double Exponential Moving Average (DEMA): This is a composite of a single exponential moving average, a double exponential moving average, and an exponential moving average of a triple exponential moving average. It aims to eliminate lag, which is a key drawback of using moving averages.
Jurik Moving Average (JMA): This is a versatile and responsive moving average that can be adjusted for market speed. It is designed to stay balanced and responsive, regardless of how long or short it is.
Kaufman's Adaptive Moving Average (KAMA): This moving average is designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low.
Smoothed Moving Average (SMMA): This type of moving average applies equal weighting to all observations and smooths out the data.
Triangular Moving Average (TMA): This is a double smoothed simple moving average, calculated by averaging the simple moving averages of a dataset.
True Strength Force (TSF): This is a moving average of the linear regression line, a statistical tool used to predict future values from past values.
Volume Moving Average (VMA): This is a simple moving average of a volume, which can help to identify trends in volume.
Volume Adjusted Moving Average (VAMA): This moving average adjusts for volume and can be more responsive to volume changes.
Zero Lag Exponential Moving Average (ZLEMA): This type of moving average aims to eliminate the lag in traditional EMAs, making it more responsive to recent price changes.
Selector: The selector function allows users to easily select and apply any of the moving averages included in the library inside their strategy.
This library provides a broad selection of moving averages to choose from, allowing you to experiment with different types and find the one that best suits your trading strategy.
By providing both simple and series versions for each moving average, this library offers great flexibility, enabling users to pass both constant and changing length parameters as needed.
Output7The "Output7" indicator is designed to guide traders in identifying potential buy and sell signals. This is achieved through the calculation of a custom indicator named `output7` and its derived moving averages. `output7` is defined as `c_1 - c_20 * (ohlcSq / hlSq)`. Here, `ohlcSq` stands for the square of the average of open, high, low, and close prices, while `hlSq` signifies the square of the average of high and low prices. `c_20` and `c_1` correspond to the closing price 20 periods ago and the current closing price, respectively.
**Interpreting the Indicator:**
**1. Support and Resistance**: This indicator calculates the support and resistance levels for the `output7` over a predefined lookback period. These levels are essential in the identification of potential price reversals in the market. When the `output7` line approaches or crosses these levels, it may suggest significant market shifts.
**2. Moving Averages of `output7`**: The indicator also generates short-term (5 periods by default) and long-term (10 periods by default) simple moving averages (SMAs) of the `output7` value. These SMAs can be helpful in determining market trends. When the short-term SMA lies above the long-term SMA, it indicates an upward trend. Conversely, when it falls below, it suggests a downward trend.
**3. Buy and Sell Signals**: The Output7 indicator generates two types of buy and sell signals based on the crossover of different moving averages. Yellow signals are produced when the simple moving average of close prices (7 periods by default) crosses the exponential moving average of close prices (14 periods by default). The blue signals are generated when the short-term SMA of `output7` crosses the long-term SMA of `output7`.
It is important to note that like all technical analysis tools, the Output7 indicator should not be used in isolation. Instead, it should be combined with other forms of analysis and indicators to validate its signals and minimize the likelihood of false signals. Factors such as the overall market trend, price patterns, volume, and fundamental analysis can provide additional context to the signals provided by the Output7 indicator. The interpretation of these signals should align with a trader's overall trading strategy, risk tolerance, and financial goals.
And finally. If you discover something else regarding this indicator. Please let me know in the comment section.
Moving Average Zone Indicator (MAZI) *LITE*MAZI
Description : The MAZI (Moving Average Zone Indicator) is a slow updating moving average calculation of key high and low points in the market, which is a unique approach to sampling moving averages.
The indicator tracks only the key candles that provide good information about price movement, which distinguishes it from other moving average indicators that record a new data point with every bar that prints.
The length of the MAZI is determined by the number of key price points to reference in the average equation, not the number of candles to look at.
The value of the MAZI is fixed at 21.
The MAZI uses specific candle conditions to sample the highs and lows of specific candles to calculate the top and bottom moving averages.
If the close of a candle is lower than the close of the previous two candles, the high of the previous candle is recorded as a potential pivot value.
If the close of a candle is higher than the close of the previous two candles, the low of the previous candle is recorded as a potential pivot value.
These pivot values are then used to calculate the top and bottom moving averages which are smoothed using a simple moving average of length 9.
The upper and lower bounds of the moving average zone are calculated as one and two standard deviations away from the moving averages, respectively.
The MAZI provides a unique perspective on price movement that can help traders identify key zones of support and resistance.
The MAZI’s equation gives traders 5 crucial points of interest: the direction of the zone, the top of the zone, the middle of the zone, the bottom of the zone, and the height of the zone.
How to use each point of interest
The Direction :
Because we don’t use every candle for input into our calculations, the direction of the indicator will not change with insignificant moves in the markets allowing you to catch when something is a pull back vs when it is a real direction change.
We have also included 3 easy to read colors allowing you to gauge when direction is going down, flat, or up, by alternating the color of the zone between red, white, and green respectively.
The Top of the Zone :
The top of the zone represents where price would be expected to not go over given the length of the bars being calculated. So this tells you that if the zone is red and the highs are not breaking over the top of the zone, the market is behaving as expected and it should continue down.
On the other hand, if price does break over the top of the zone it signifies stronger than expected buying power and price movement.
The strongest indication of strong upward movement is when the top of the zone becomes an area of price support.
So when you see a candle come down from above the zone and turn around near the top of the zone there is likely a strong upward move coming.
Unless there is a very strong trend it is best to only take this trade the first time price breaks the top side and forms support.
On a range day this is not likely to happen multiple times in a row without price testing the bottom side in between.
The Middle of the Zone :
The middle of the zone is used as a general no trade zone.
Because price is inbetween where the expected high and low of price should be there is no good indicator of which way price will break out.
That does not mean you cannot find worthwhile patterns in the middle of the zone but as a general rule and a very good rule for beginner traders is to avoid entering a trade inside the zone all together.
The Bottom of the Zone :
The bottom of the zone is used similarly to the top of the zone. If the zone is green and lows are not going below the bottom of the zone the shows you that sellers are not breaking below the expected price and therefore you can expect the price to continue moving up.
On the other hand if price breaks below the low part of the zone then it shows you that sell’s have pushed price below the expected low and therefore is currently under strong selling pressure.
The strongest signal for a big downward move is when the low of the zone (the expected bottom of where price should be given the length of the indicator) turns into a resistance area for price.
When a candle comes up from underneath the zone and fails to break into the zone and starts to drop again, that is the best signal for a big downward move.
Unless there is a very strong trend it is best to only take this trade the first time price breaks the bottom side and forms resistance.
On a range day this is not likely to happen multiple times in a row without price testing the top side in between.
The Size of the Zone :
The size of the zone is very important to keep in mind when gauging profit targets and stop loss levels.
When the market is forming trending patterns the height of the zone will grow.
When the market is showing signs of ranging it will start to shrink.
In other words the smaller the zone the smaller your profit target should be (and the tighter stop you should have).
A zone with a large height shows that we have much larger moves requiring wider stops and its more likely to hit larger profit targets.
GKD-C VHF-Adaptive Super Smoother Velocity [Loxx]Giga Kaleidoscope GKD-C VHF-Adaptive Super Smoother Velocity is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: VHF-Adaptive Super Smoother Velocity as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C VHF-Adaptive Super Smoother Velocity
What is a Vertical Horizontal Filter?
The Vertical Horizontal Filter (VHF) is a technical indicator used in trading to identify whether a market is trending or in a sideways trading range. It was developed by Adam White, and is based on the concept that markets tend to exhibit more volatility when they are trending, and less volatility when they are in a sideways range.
The VHF is calculated by taking the ratio of the range of the high and low prices over a specified period to the total range of prices over the same period. The resulting ratio is then multiplied by 100 to create a percentage value.
If the VHF is above a certain threshold, typically 60, it is considered to be indicating a trending market. If it is below the threshold, it is indicating a sideways trading range.
Traders use the VHF to help identify market conditions and to adjust their trading strategies accordingly. In a trending market, traders may look for opportunities to enter or exit positions based on the direction of the trend, while in a sideways trading range, traders may look for opportunities to buy at the bottom of the range and sell at the top.
The VHF can also be used in conjunction with other technical indicators, such as moving averages or momentum indicators, to help confirm trading signals. For example, if the VHF is indicating a trending market and the moving average is also indicating a trend, this may provide a stronger signal to enter or exit a trade.
One potential limitation of the VHF is that it can be less effective in markets that are transitioning between trending and sideways trading ranges. During these periods, the VHF may not accurately reflect the current market conditions, and traders may need to use other indicators or methods to help identify the current trend.
In summary, the Vertical Horizontal Filter (VHF) is a technical indicator used in trading to identify whether a market is trending or in a sideways trading range. It is based on the concept that markets exhibit more volatility when they are trending, and less volatility when they are in a sideways range. Traders use the VHF to help identify market conditions and adjust their trading strategies accordingly.
What is the Super Smoother?
developed by John F. Ehlers. This filter is based on aerospace analog filters and is specifically designed to reduce noise in price data. The noise in price data becomes more pronounced as the high-to-low price swings increase, particularly when the chart is plotted for greater time intervals. The Super Smoother Filter was created to address this problem by eliminating noise entirely, as opposed to moving averages such as the exponential moving average (EMA), which only offer a modest attenuation effect.
The aerospace analog filters that serve as the basis for the Super Smoother Filter are known for their ability to produce incredibly smooth signals while maintaining minimal lag. Ehlers adapted this technology to create a filter that is ideally suited for financial data, particularly when it comes to eliminating noise from price charts.
One of the key advantages of the Super Smoother Filter is its ability to provide a high level of accuracy in identifying trend changes. The filter is able to detect trend reversals with a high degree of precision, allowing traders to make more informed decisions about when to enter or exit a trade.
Overall, the Ehlers’ Super Smoother Filter is a powerful tool for traders and investors looking to reduce noise in price data and identify trend changes with a high level of accuracy. Its unique design, based on aerospace analog filters, makes it an ideal solution for financial data and sets it apart from other smoothing techniques such as moving averages.
What is VHF-Adaptive Super Smoother Velocity?
The VHF Adaptive approach is applied to the calculation of the momentum indicator. The code first calculates the highest and lowest values of the input source over a specified period using the ta.highest and ta.lowest functions. It then computes the noise level by taking the sum of the absolute price changes over the same period.
The VHF ratio is then calculated as the difference between the highest and lowest values divided by the noise level. This ratio is used to determine the time period, tperiod, for the momentum indicator calculation. The tperiod is calculated as a negative logarithmic function of the VHF ratio, which ensures that the time period decreases as the VHF ratio increases, i.e., as the level of volatility in the market increases. The tperiod is then adjusted to ensure it is not less than one.
Finally, the momentum indicator is computed using the Super Smoother Filter (super) applied to the input source with the time period raised to a power of 0.95 for the upper band and 1.05 for the lower band. The power function also ensures that the time period is adjusted based on the VHF ratio, making the indicator more adaptive to changes in market volatility. There are two signal types: middle and levels crosses.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Munich GuppyWELCOME to the Munich Guppy!
This is a simple moving average indicator that will help you determine the trend of your chart using historical moving averages.
The indicator consists of 3 EMA's and one ALMA moving average. Using these 4 moving averages I have programmed the relationship between the moving averages to color the background of your chart.
If your background is red, this means that the alma moving average has fallen below the EMA's (EMA1 and EMA 2) as well as (EMA 1 and EMA 2) are postured in a down trending/up trending fashion
For example, the 21EMA is greater than the 55EMA, this signals that the chart has been outperforming its intermediate averages. Now if the ALMA is below both the 21ema and 55ema, in this instance, your chart background will become green.
The ALMA has color options '+CoC' and '-Coc', this simply means if the candle closes below the alma, it will turn red, if closure above it will turn green.
EMA 3 which is default set to 200, has no affect on the color of the background.
Now I hope I have thoroughly explained the simplicity of this indicator, if you have any questions leave them below or private message me for any other requests,
Good Trading!
-CheatCode1
Chartpunk Trading SystemINTRODUCTION
I am happy to present the system which I am using in my daily free market updates.
The system is based on my own trading strategy whereby I am focusing on trend and momentum. I have developed this indicator for my own using, the main purpose was to provide me with a simplified outlook on all parameters that I am following, and make it easier to follow multiple assets.
I am amazed to see my audience growing, and since I have received multiple requests for access to this system, I have decided to publish the indicator on TradingView. I hope it will be useful for many of you in understanding core trend and momentum easier and faster.
TREND STRUCTURE
The moving average based system developed by the late Tyler Jenks has made a big impression to me years ago, and I have started to build my position trading system around his concept. The core idea is that when analyzing trend, the price "is just noise". Tyler declared that instead of the actual price, you should focus on price trends, based on three moving averages, their alignment and crosses. Focusing on the trend structure provides you with a cleaner understanding of the market then being fixated on the actual price. Tyler has used a very short moving average (3) instead of the price, and two longer averages (7 and 30) to identify trend direction. The alignment of these three moving averages provide you with guidance on whether to be short or long, and on the extent of being short or long. Further to the alignment of these moving averages, their direction (ascending or descending) is a further aspect to consider. Try taking off the price from your chart, you will see how these three moving averages provide you with a clean trend structure.
This indicator is plotting the 3,7,30 moving averages accordingly, but you are free to alter the settings according to your own needs.
MOMENTUM (Multi Timeframe!)
Further to the general trend structure, I am using market momentum to confirm my entries and exits. The most important market indicators to me in this respect are the RSI, DMI and Momentum Oscillator values. A bullish confluence of these momentum indicators are a confirmation for me on a long entry, and a bearish confluence may confirm a short entry.
This aspect is where I believe my indicator is a huge help. Instead of having to check for confluence separately, the indicator is simply signaling confluence by painting the bars, thus providing an easy and quick reading of current momentum.
Even further, the indicator is able to analyize the underlying indicators on three timeframes simultaneously, and paint the candles only in case of total confluence. This has been a huge help in my trading, as it provides me with an immediate MTF momentum reading upon opening a chart.
MY PREFERRED USE OF THIS INDICATOR
I am mainly trading Bitcoin, and the core settings of the indicator are preset according to my experience on this market. You may however easily alter the settings according to your own needs and approach.
I am opening and closing positions on the 1-day timeframe, and the candles are showing to me momentum confluence on the 1-day, 3-day and 1-week timeframes. Hence, if on all three timeframes there is a bullish confluence of all momentum oscillators (RSI, Mom, DMI), the candles are green. So easy, as I do not have to browse through timeframes and oscillators individually. The bearish confluence is accordingly signaled by red candles. Grey candles are neutral, showing the lack of confluence.
Whenever I see a momentum confluence change (neutral to bull, neutral to bear etc.), I analyze the trend structure of the moving averages. If the moving average structure is confirming the position, I am opening.
SUMMARY
This indicator is providing a very clean and quick-to-read outlook of an otherwise rather time and focus intensive study. Instead of checking for confluence of three momentum indicators on three timeframes, you immediately see confluence with the candle paint. The moving average structure is promptly there to confirm the read. This is where the real power of this indicator is lying, and I assume this is why the more and more of you have started to daily follow my daily market updates.
CCMA - Count Condition MA (560 Indicators In One) Do you like using moving averages?
Why do you think a pair of moving averages on a chart will help you?
What is the probability that once two moving averages have crossed, you will successfully enter the trade?
So why not use 100+ moving averages at once to increase the probability of a successful trade?
And all this can be seen in a single oscillator as a histogram!
I want to introduce you to a system that takes into account 560 moving averages movements. And that's just for a second, 560 potential indicators.
Specifically:
- 22 types of MA (EMA, SMA, RMA and others).
- 176 moving averages.
- 310 crossover checks.
- 252 checks of trend following.
The indicator makes the most of the opportunities provided by television. Therefore, it can take a long time to load it.
How does it work ?
In general, the indicator counts the number of fulfilled conditions.
It checks if MA #1 and MA #2 have crossed. If so, it adds +1 to the statistics. It also checks if price is above or below the moving average. There are a total of 560 such checks. (This is about the maximum the TV allowed me).
The default is 8 lengths of moving averages, I took the Fibonacci numbers thinking they were the optimal solution. You can take any of your favorites.
If the "Ratio MOD" feature is on. Then you can see how many MAs are showing signals to enter a long or short position.
You can also see the indication at the bottom as dots. They show which signals are longer/shorter. If the number of signals is the same, the dot will be yellow. The first line of dots counts the number of crossings. The second line counts the number of crossovers + checks whether the price is above or below the average slippage.
If the "Differ MOD" function is enabled. Then you can see the difference between long and short signals. With the same indication as in RATIO MOD.
If "Show all" is on, then the bar graph shows all 560 accounting options. If it is off, only the number of crossovers is displayed. (This does not apply to the display as points)
If the script shows an error, try to change the timeframe and go back. Or add it again.
You can also disable the histogram in the stats settings and leave only the points that help in determining the trend.
AMACD - All Moving Average Convergence DivergenceThis indicator displays the Moving Average Convergane and Divergence ( MACD ) of individually configured Fast, Slow and Signal Moving Averages. Buy and sell alerts can be set based on moving average crossovers, consecutive convergence/divergence of the moving averages, and directional changes in the histogram moving averages.
The Fast, Slow and Signal Moving Averages can be set to:
Exponential Moving Average ( EMA )
Volume-Weighted Moving Average ( VWMA )
Simple Moving Average ( SMA )
Weighted Moving Average ( WMA )
Hull Moving Average ( HMA )
Exponentially Weighted Moving Average (RMA) ( SMMA )
Symmetrically Weighted Moving Average ( SWMA )
Arnaud Legoux Moving Average ( ALMA )
Double EMA ( DEMA )
Double SMA (DSMA)
Double WMA (DWMA)
Double RMA ( DRMA )
Triple EMA ( TEMA )
Triple SMA (TSMA)
Triple WMA (TWMA)
Triple RMA (TRMA)
Linear regression curve Moving Average ( LSMA )
Variable Index Dynamic Average ( VIDYA )
Fractal Adaptive Moving Average ( FRAMA )
If you have a strategy that can buy based on External Indicators use 'Backtest Signal' which returns a 1 for a Buy and a 2 for a sell.
'Backtest Signal' is plotted to display.none, so change the Style Settings for the chart if you need to see it for testing.
