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Triple Bollinger BandsI found myself using multiple bollinger bands a lot so I decided to add them all to one script and add the ability to adjust them by 0.2. It has helped me by not taking up as much space in the upper left corner as well as improving my in's and outs of trend continuation trades. If you manage to find a double top at +2 or greater deviation, and with a bearish divergence on the RSI as shown in this picture, GO SHORT SON! This was a fast and easy 35 - 40 pips and if you used your fibonacci for an exit you had little doubt of the final result and could have even been prepared for an immediate reversal knowing you were then at an oversold -2.8 deviation. I could go on and on........
Indicatore Pine Script®
di TimeFliesBuy
8
Outside Reversal SetUpwww.tradingview.com This is an outside reversal set up from Frank Ochoa's book Secrets of a Pivot Boss. He recommends using this in confirmation with Pivots but I guess you can play with any other indicator of your choice. PATTERN PSYCHOLOGY " The power behind this pattern lies in the psychology behind the traders involved in this setup. If you have ever participated in a breakout at support or resistance only to have the market reverse sharply against you, then you are familiar with the market dynamics of this setup . Basically, market participants are testing the waters above resistance or below support to make sure there is no new business to be done at these levels. When no initiative buyers or sellers participate in range extension, responsive participants have all the information theyneed to reverse price back toward a new area of perceived value."
Indicatore Pine Script®
di cristian.d
9
1-2-3 Reversal Strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Indicatore Pine Script®
di HPotter
Reversal off EMA-XsEMA-Xs works mostly on Forex due to the small prices and price fluctuations. It does work on Gold, oddly enough, and some others like UKX 100...but mostly on forex. It doesn't work as well on JPY pairs but occasionally does; the JPY pairs give less signals, but when a JPY pair gives a signal, its a high probability setup. Another script EMA-XL works better on the higher priced instruments like S&P, DJI, OIL, BTC etc. This script will show 3 moving averages: 13, 34, 200 and works on the 5m, 1hr, 4hr, daily charts. Signals "B" or "S" will be on the chart above or below the candles respectively. When to open: The script gives buy and sell signals based on a counter-trend move away from the MA's. When the price rises a specific percent above/below the EMA, it'll give a signal. It's best to take a trade when it gives a cluster of consecutive signals near the same price. If using on the 5m, definitely wait for consecutive signals. Also, use this in conjunction with support and resistance areas. Using with fibs for confirmation really makes this a good tool with high probability: IE, when price hits a fib and the script gives a signal, its a high probability setup. When to close: 1. After a fast move up/down you may use this to counter trade a scalp 10+ pips, but you need to be quick; applies mostly to the 5m chart. 2. If you have the tenacity wait until you see an opposite signal. With this method you may be holding a loosing trade for a while. But what I've noticed is if it trends against you, price usually with come near to the first time it signaled. You may want to stack trades on each cluster of signals. IE first trade is 1000 units, next is 2000 units, etc... then close when prices comes near the first time it signaled. By this time, if you held, you should have profit. This strategy will really test your mental resilience. 3. Wait until it comes back to one of the trendlines; remember this is a counter trend signal so price is moving away from the MA and it always returns to touch one of the MA's...LOL eventually 4. Applying to scalping on the 5m, keep the stops tight because if the instrument trends hard and fast, you'll be upside-down quickly. If you put a lot of time into using this signal generator, you can really make good profit. But with all tools, you need to master it. There are nuances to the simple logic of this script that can be both fun and frustrating. With all endeavors, if you put the time into it, you will reap the rewards. Good luck and let me know if you have any questions/comments.
Indicatore Pine Script®
di shamgar331
RSI Fieolouis v2.6.1 (Symbols)RSI Fieolouis v2.6.1 (Symbols) This script is an advanced RSI tool designed for traders who rely on momentum and divergence signals. It enhances the traditional RSI with additional features and visual aids, allowing more precise identification of potential market reversals and trend continuations. Main features: ✅ Customizable RSI: adjustable length and source. ✅ Multiple RSI MAs: overlay EMA, SMA, WMA, VWMA, SMMA, or Bollinger Bands on RSI. ✅ Regular & Hidden Divergence: automatically detects bullish and bearish divergence with pivot-based logic. ✅ Re-entry Signals: identifies RSI re-entry from oversold/overbought zones (with optional MA confirmation). ✅ Continuation Signals: shows when RSI crosses the 50 level in line with the trend. ✅ Flexible Pivot Settings: pivot detection range and max bars between pivots are fully configurable. ✅ Visual Enhancements: gradient OB/OS zones, optional 80/20 bands, divergence labels, and compact symbols for signals. ✅ Alerts Ready: set custom alerts for divergence, re-entry, and continuation events. How to use: Use divergence signals to spot potential reversals. Re-entry and continuation signals help confirm trend momentum or rejoin after temporary pullbacks. Combine with higher timeframe analysis and volume for stronger confirmation. This indicator is designed for educational purposes and should be used alongside proper risk management and your own trading strategy.
Indicatore Pine Script®
di milamcminke9725
[JHF] SQZMOMPRO SQZMOMPRO is a sophisticated, momentum-based technical indicator designed for traders seeking to identify potential trend reversals, momentum shifts, and periods of market consolidation (squeezes) across multiple timeframes. By combining a momentum oscillator, Bollinger Bands, Keltner Channels, and a Percentage Volume Oscillator (PVO), it provides a comprehensive view of price momentum and volume dynamics. Overview The SQZMOMPRO indicator is a powerful tool that integrates momentum analysis, volatility-based squeeze detection, and volume confirmation to help traders identify high-probability trading opportunities. It combines: A momentum oscillator based on price deviations from a linear regression and moving average. Bollinger Bands and Keltner Channels to detect periods of low volatility (squeezes), signaling potential breakouts. A Percentage Volume Oscillator (PVO) to confirm momentum signals with volume trends. A Rate of Change (ROC) line to highlight the speed of momentum shifts. Visual cues like reversal signals and confluence backgrounds for actionable insights. This indicator is ideal for swing traders, day traders, and those analyzing trends across multiple timeframes (hourly, 4-hour, daily, weekly, monthly). It is plotted below the price chart (non-overlay) and includes customizable alerts for key conditions. Key Features Multi-Timeframe Support: Automatically adjusts parameters for hourly, 4-hour, daily, weekly, and monthly charts, ensuring optimal settings for each timeframe. Squeeze Detection: Identifies periods of low volatility (squeezes) using Bollinger Bands and Keltner Channels, categorized as Wide, Normal, Narrow, or Very Narrow. Momentum Oscillator: Tracks price momentum relative to a baseline, with a signal line to highlight trend reversals. PVO Confluence: Optionally integrates the Percentage Volume Oscillator to confirm momentum signals with volume trends. Rate of Change (ROC): Displays the smoothed rate of change of momentum for enhanced readability. Visual Cues: Includes color-coded squeeze dots, momentum/signal lines, reversal markers, and optional confluence backgrounds. Alerts: Configurable alerts for squeeze conditions, trend reversals, and volume-confirmed signals. How It Works 1. Momentum Oscillator The momentum oscillator is calculated as follows: Source: Closing price. Baseline: A combination of the midpoint of the highest high and lowest low over a specified period, adjusted by a simple moving average (SMA). Momentum: Linear regression of the price deviation from this baseline over a timeframe-specific period (shorter for smaller timeframes to be more responsive). Signal Line: A 5-period SMA of the momentum value, used to identify crossovers. Interpretation: Momentum > Signal: Bullish momentum (plotted in green by default). Momentum < Signal: Bearish momentum (plotted in red by default). Crossovers: Momentum crossing above the signal line suggests a bullish reversal; crossing below suggests a bearish reversal. 2. Squeeze Detection Squeezes occur when volatility contracts, often preceding significant price moves. The indicator compares: Bollinger Bands: Calculated using an SMA and 2 standard deviations of the closing price. Keltner Channels: Calculated using an SMA and multiples of the Average True Range (ATR) for different squeeze thresholds (Wide, Normal, Narrow, Very Narrow). This method steers away from the likes of classical SQZPRO which only uses an approximation of the Average True Range and heavily affects the squeeze sensitivity due to the way they calculate their Keltner Channel (our Keltner Channel are true to the way they are supposed to be calculated). Squeeze Conditions: Wide Squeeze: Bollinger Bands are inside Keltner Channels with a high ATR multiplier. Normal Squeeze: Bollinger Bands are inside Keltner Channels with a moderate ATR multiplier. Narrow Squeeze: Bollinger Bands are inside Keltner Channels with a low ATR multiplier. Very Narrow Squeeze: Bollinger Bands are inside Keltner Channels with a very low ATR. No Squeeze: Bollinger Bands are outside Keltner Channels, indicating higher volatility. Depending on the timeframe, each squeeze level has been manually tweaked to gain an edge, whether you're scalping, in swings or in Leaps. Visuals: Squeeze conditions are plotted as colored dots on the zero line: Green: No Squeeze Black: Wide Squeeze Red: Normal Squeeze Yellow: Narrow Squeeze Purple: Very Narrow Squeeze 3. Percentage Volume Oscillator (PVO) The PVO measures volume momentum, similar to the MACD but applied to volume through a 14 and 28 ema with volume as the srouce. Interpretation: PVO > 0: Increasing volume momentum (bullish). PVO < 0: Decreasing volume momentum (bearish). When enabled (Show PVO Confluence), the indicator highlights periods where momentum and PVO align (e.g., bullish momentum with PVO > 0). 4. Rate of Change (ROC) Formula: Smoothed difference between momentum and signal line, multiplied by a user-defined factor (ROC Multiplier). Purpose: Enhances readability of momentum shifts, plotted as a blue (positive) or orange (negative) line when enabled. 5. Reversal Signals Bullish Reversal: Momentum crosses above the signal line, optionally confirmed by PVO > 0. Marked with a green vertical line. Bearish Reversal: Momentum crosses below the signal line, optionally confirmed by PVO < 0. Marked with a red vertical line. 6. Confluence Background When Show PVO Confluence is enabled, the background is colored to highlight alignment: Bullish Confluence: Momentum > Signal and PVO > 0 (green background, darker if ROC is positive). Bearish Confluence: Momentum < Signal and PVO < 0 (red background, darker if ROC is negative). Inputs Basic Configuration: Display Reversals: Show/hide reversal markers for momentum/signal crossovers (default: true). Show PVO Confluence: Enable/disable background coloring for momentum and PVO alignment (default: false). Rate of Change: Show Rate of Change Line: Display the ROC line (default: false). ROC Smoothing Length: Smoothing period for ROC (default: 1, min: 1). ROC Multiplier: Scales ROC for readability (default: 1, min: 1). Plotline Colors: Bullish Momentum: Green (default: RGB(0, 255, 0)). Bearish Momentum: Red (default: RGB(255, 0, 0)). Signal Line: White (default: RGB(255, 255, 255)). Squeeze Colors: No Squeeze: Green. Wide Squeeze: Black. Normal Squeeze: Red. Narrow Squeeze: Yellow. Very Narrow Squeeze: Purple. Timeframe-Specific Parameters The indicator adapts to the chart’s timeframe, using predefined settings. Hourly, 4-Hour, Daily, Weekly and Monthly (and everything in between) all have custom, tweaked momentum length, ATR length, and squeeze multiplier threshold to suit the sensitivity needed for the current timeframe. Trading Applications Squeeze Breakouts: A transition from a Very Narrow or Narrow Squeeze to No Squeeze often signals a breakout. Combine with momentum crossovers for confirmation. Example: Enter a long position when a Narrow Squeeze (yellow dots) turns to No Squeeze (green dots) and momentum crosses above the signal line. Trend Reversals: Bullish reversal (green line) with PVO > 0 confirms strong buying volume, increasing the likelihood of a sustained uptrend. Bearish reversal (red line) with PVO < 0 suggests strong selling pressure. Confluence Trading: Use confluence backgrounds to trade only when momentum and volume align, reducing false signals. Example: A bullish confluence (green background) with positive ROC indicates a high-probability long setup. Divergences: Look for divergences between price and momentum or PVO. For instance, a higher low in momentum/PVO with a lower low in price suggests a bullish reversal. Trend Confirmation: Use the momentum oscillator and ROC to confirm price trends. A rising momentum and positive ROC validate an uptrend. Alerts Squeeze Alerts: 🟢 No Squeeze: Volatility is expanding. ⚫ Low Squeeze: Wide squeeze detected. 🔴 Normal Squeeze: Moderate squeeze detected. 🟡 Tight Squeeze: Narrow squeeze detected. 🟣 Very Tight Squeeze: Very narrow squeeze detected. Reversal Alerts: 🐂 Bullish Trend Reversal: Momentum crosses above signal. 🐻 Bearish Trend Reversal: Momentum crosses below signal. 🐂 Bullish Trend Reversal + 📊 PVO Confluence: Momentum crossover with PVO > 0. 🐻 Bearish Trend Reversal + 📊 PVO Confluence: Momentum crossover with PVO < 0. Limitations Lagging Nature: The momentum oscillator and PVO rely on moving averages, which may lag sudden price or volume spikes. False Signals: Squeezes and crossovers can occur in choppy markets, leading to whipsaws. Confirm with price action or other indicators. Timeframe Sensitivity: Results vary by timeframe; test settings for your trading style (e.g., shorter lengths for day trading). How to Use Add to Chart: Apply the indicator to any TradingView chart (non-overlay). Customize Settings: Enable Display Reversals for crossover markers. Enable Show PVO Confluence for volume confirmation. Adjust ROC Smoothing and ROC Multiplier for clearer ROC visuals. Customize colors for better visibility. Interpret Signals: Monitor squeeze dots for volatility changes. Watch for momentum/signal crossovers and confluence backgrounds. Use ROC to gauge momentum strength. Set Alerts: Configure alerts for squeezes, reversals, or confluence signals to stay informed. Example Scenario Setup: A stock in a Very Narrow Squeeze (purple dots) on the daily chart, with momentum below the signal line and PVO < 0. Signal: Momentum crosses above the signal line, PVO turns positive, and the squeeze transitions to No Squeeze (green dots). Action: Enter a long position, targeting the next resistance level, with a stop-loss below recent support. The green confluence background and positive ROC confirm the trade. Conclusion The SQZMOMPRO indicator is a versatile tool for traders seeking to capitalize on momentum, volatility, and volume trends. Its multi-timeframe adaptability, visual clarity, and robust alert system make it suitable for various trading strategies. Combine with price action, support/resistance, or other indicators for optimal results. For feedback or suggestions, feel free to leave a comment.
Indicatore Pine Script®
di JF10R
SMART TREND PRO V1SMART TREND PRO V1 – Advanced Trend Retest Indicator SMART TREND PRO V1 is a sophisticated technical analysis tool that combines trend analysis with Pin Bar pattern recognition to deliver high-quality trading signals. The indicator identifies optimal retest opportunities within established trends using intelligent filtering systems. Features: Smart Trading Modes: Three pre-configured modes to match your trading style – Conservative for higher accuracy with fewer signals, Normal for balanced performance, and Aggressive for maximum signal frequency with faster execution. Pin Bar Filter: Advanced pattern recognition that uses Pin Bar candlestick formations as confirmation signals. This filter significantly reduces false positives by requiring reversal pattern confirmation before displaying alerts. Dynamic Cloud Visualization: Trend-following moving averages create a visual cloud that adapts to market conditions, clearly showing trend direction and strength through color-coded zones. Multi-Timeframe Compatibility: Works effectively across all timeframes from scalping to swing trading, with automatic parameter adjustment based on selected trading mode. Professional Alert System: Comprehensive alert notifications for both filtered and unfiltered signals, allowing traders to choose their preferred signal quality level. Reliable Signal Generation: Signals appear on confirmed candle close to eliminate repainting, ensuring stable and trustworthy entry points for consistent trading performance. The indicator excels in trending markets by identifying high-probability retest scenarios where price returns to test key moving average levels, providing traders with optimal entry opportunities in the direction of the prevailing trend. Enhanced from the original Specter Trend Cloud indicator.
Indicatore Pine Script®
di mfsz2015
Multi-WMA Trend ZonesMulti-WMA Trend Zones is a custom indicator that visually highlights when multiple Weighted Moving Averages (WMAs) are in perfect alignment. It shades the area between the shortest and longest selected WMAs with different colours for bullish, bearish, and neutral states. How It Works: The indicator allows you to plot up to 5 WMAs (default: 10, 20, 50, 100, 200). You choose which WMAs to use (e.g., just 2, 3, 4, or all 5). The script automatically checks the order of the selected WMAs: Bullish Zone: when WMAs are in strict bullish alignment (shorter > longer). Bearish Zone: when WMAs are in strict bearish alignment (shorter < longer). Neutral Zone: when WMAs are jumbled / not aligned. The shaded area is drawn between the shortest and longest active WMAs, giving a clean “zone” effect. Customization: WMA Periods: choose custom lengths for up to 5 WMAs. WMA Selection: toggle which WMAs you want active. Colours: customize shading for Bullish, Bearish, and Neutral zones (with transparency). Usage Quickly identify strong trending conditions when all selected WMAs are aligned. Spot trend reversals when shading switches from bullish to bearish. Use the neutral zone to stay cautious when price action is choppy or WMAs are out of sync. Works well on any timeframe and for any asset class (stocks, crypto, forex, futures). Disclaimer: This indicator is a technical analysis tool. It should not be considered financial advice. Always combine with your own research and risk management before trading.
Indicatore Pine Script®
di CMStocks
Predictive Financial Indicatorlee's best prediction indicator 🟢 Green ▲ = Buy signal (price likely to go up) 🔴 Red ▼ = Sell signal (price likely to go down) Orange ✚ = Trend exhaustion (reversal warning) Key Settings: MA Period (20): Moving average calculation period Sensitivity (1.0): How sensitive to price changes (higher = more signals) Show Signals: Toggle buy/sell arrows on/off Show MA: Toggle moving average line on/off 🧮 How It Works: Analyzes price patterns using "entanglement" (how current price relates to past prices) Detects trend exhaustion (when trends are losing momentum) Calculates support/resistance levels automatically Measures volatility to adjust predictions Combines all factors to generate buy/sell signals Information Table Shows: Direction: UP/DOWN/SIDEWAYS prediction Confidence: Signal reliability (0-1, higher = better) Entanglement: Price correlation factor Trend Strength: Current trend power Predicted Price: Next expected price level Score: Overall signal strength ⚙️ Best Settings: Crypto: MA Period 15-20, Sensitivity 1.2-1.5 Stocks: MA Period 20-25, Sensitivity 0.8-1.2 Forex: MA Period 20, Sensitivity 1.0 🎯 How to Use: Add to any TradingView chart Wait for high confidence signals (>0.5) Look for confluence with other indicators Use proper risk management Set up alerts for automatic notifications
Indicatore Pine Script®
di drstones1688
GKD-C CCI Adaptive Smoother [Loxx]Giga Kaleidoscope GKD-C CCI Adaptive Smoother is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System". █ GKD-C CCI Adaptive Smoother Commodity Channel Index: History, Calculation, and Advantages The Commodity Channel Index (CCI) is a versatile technical analysis indicator widely used by traders and analysts to identify potential trends, reversals, and trading opportunities in various financial markets. Developed by Donald Lambert in 1980, the CCI was initially designed to analyze the cyclical behavior of commodities. However, its applications have expanded over time to include stocks, currencies, and other financial instruments. The following provides an overview of the CCI's history, explain its calculation, and discuss its advantages compared to other indicators. History Donald Lambert, a commodities trader and technical analyst, created the Commodity Channel Index in response to the unique challenges posed by the cyclical nature of the commodities markets. Lambert aimed to develop an indicator that could help traders identify potential turning points in the market, allowing them to capitalize on price trends and reversals. The CCI quickly gained popularity among traders and analysts due to its ability to adapt to various market conditions and provide valuable insights into price movements. Calculation The CCI is calculated through the following steps: 1. Determine the typical price for each period: The typical price is calculated as the average of the high, low, and closing prices for each period. Typical Price = (High + Low + Close) / 3 2. Calculate the moving average of the typical price: The moving average is computed over a specified period, typically 14 or 20 days. 3. Calculate the mean deviation: For each period, subtract the moving average from the typical price, and take the absolute value of the result. Then, compute the average of these absolute values over the specified period. 4. Calculate the CCI: Divide the difference between the typical price and its moving average by the product of the mean deviation and a constant, typically 0.015. CCI = (Typical Price - Moving Average) / (0.015 * Mean Deviation) Why CCI is Used and Its Advantages over Other Indicators The CCI offers several advantages over other technical indicators, making it a popular choice among traders and analysts: 1. Versatility: Although initially developed for commodities, the CCI has proven to be effective in analyzing a wide range of financial instruments, including stocks, currencies, and indices. Its adaptability to different markets and timeframes makes it a valuable tool for various trading strategies. 2. Identification of overbought and oversold conditions: The CCI measures the strength of the price movement relative to its historical average. When the CCI reaches extreme values, it can signal overbought or oversold conditions, indicating potential trend reversals or price corrections. 3. Confirmation of price trends: The CCI can help traders confirm the presence of a price trend by identifying periods of strong momentum. A rising CCI indicates increasing positive momentum, while a falling CCI suggests increasing negative momentum. 4. Divergence analysis: Traders can use the CCI to identify divergences between the indicator and price action. For example, if the price reaches a new high, but the CCI fails to reach a corresponding high, it can signal a weakening trend and potential reversal. 5. Independent of price scale: Unlike some other technical indicators, the CCI is not affected by the price scale of the asset being analyzed. This characteristic allows traders to apply the CCI consistently across various instruments and markets. The Commodity Channel Index is a powerful and versatile technical analysis tool that has stood the test of time. Developed to address the unique challenges of the commodities markets, the CCI has evolved into an essential tool for traders and analysts in various financial markets. Its ability to identify trends, reversals, and trading opportunities, as well as its versatility and adaptability, sets it apart from other technical indicators. By incorporating the CCI into their analytical toolkit, traders can gain valuable insights into market conditions, enabling them to make more informed decisions and improve their overall trading performance. As financial markets continue to evolve and grow more complex, the importance of reliable and versatile technical analysis tools like the CCI cannot be overstated. In an environment characterized by rapidly changing market conditions, the ability to quickly identify trends, reversals, and potential trading opportunities is crucial for success. The CCI's adaptability to different markets, timeframes, and instruments makes it an indispensable resource for traders seeking to navigate the increasingly dynamic financial landscape. Additionally, the CCI can be effectively combined with other technical analysis tools, such as moving averages, trend lines, and candlestick patterns, to create a more comprehensive and robust trading strategy. By using the CCI in conjunction with these complementary techniques, traders can develop a more nuanced understanding of market behavior and enhance their ability to identify high-probability trading opportunities. In conclusion, the Commodity Channel Index is a valuable and versatile tool in the world of technical analysis. Its ability to adapt to various market conditions and provide insights into price trends, reversals, and trading opportunities make it an essential resource for traders and analysts alike. As the financial markets continue to evolve, the CCI's proven track record and adaptability ensure that it will remain a cornerstone of technical analysis for years to come. What is the Smoother Moving Average? The smoother function is a custom algorithm designed to smooth the price data of a financial asset using a moving average technique. It takes the price (src) and the period of the rolling window sample (len) to reduce noise in the data and reveal underlying trends. smoother(float src, int len)=> wrk = src, wrk2 = src, wrk4 = src wrk0 = 0., wrk1 = 0., wrk3 = 0. alpha = 0.45 * (len - 1.0) / (0.45 * (len - 1.0) + 2.0) wrk0 := src + alpha * (nz(wrk ) - src) wrk1 := (src - wrk) * (1 - alpha) + alpha * nz(wrk1 ) wrk2 := wrk0 + wrk1 wrk3 := (wrk2 - nz(wrk4 )) * math.pow(1.0 - alpha, 2) + math.pow(alpha, 2) * nz(wrk3 ) wrk4 := wrk3 + nz(wrk4 ) wrk4 Here's a detailed breakdown of the code, explaining each step and its purpose: 1. wrk, wrk2, and wrk4: These variables are assigned the value of src, which represents the source price of the asset. This step initializes the variables with the current price data, serving as a starting point for the smoothing calculations. wrk0, wrk1, and wrk3: These variables are initialized to 0. They will be used as temporary variables to hold intermediate results during the calculations. Calculation of the alpha parameter: 2. The alpha parameter is calculated using the formula: 0.45 * (len - 1.0) / (0.45 * (len - 1.0) + 2.0). The purpose of this calculation is to determine the smoothing factor that will be used in the subsequent calculations. This factor will influence the balance between responsiveness to recent price changes and smoothness of the resulting moving average. A higher value of alpha will result in a more responsive moving average, while a lower value will produce a smoother curve. Calculation of wrk0: 3. wrk0 is updated with the expression: src + alpha * (nz(wrk ) - src). This step calculates the first component of the moving average, which is based on the current price (src) and the previous value of wrk (if it exists, otherwise 0 is used). This calculation applies the alpha parameter to weight the contribution of the previous wrk value, effectively making the moving average more responsive to recent price changes. Calculation of wrk1: 4. wrk1 is updated with the expression: (src - wrk) * (1 - alpha) + alpha * nz(wrk1 ). This step calculates the second component of the moving average, which is based on the difference between the current price (src) and the current value of wrk. The alpha parameter is used to weight the contribution of the previous wrk1 value, allowing the moving average to be even more responsive to recent price changes. Calculation of wrk2: 5. wrk2 is updated with the expression: wrk0 + wrk1. This step combines the first and second components of the moving average (wrk0 and wrk1) to produce a preliminary smoothed value. Calculation of wrk3: 6. wrk3 is updated with the expression: (wrk2 - nz(wrk4 )) * math.pow(1.0 - alpha, 2) + math.pow(alpha, 2) * nz(wrk3 ). This step refines the preliminary smoothed value (wrk2) by accounting for the differences between the current smoothed value and the previous smoothed values (wrk4 and wrk3 ). The alpha parameter is used to weight the contributions of the previous smoothed values, providing a balance between smoothness and responsiveness. Calculation of wrk4: 7. Calculation of wrk4: wrk4 is updated with the expression: wrk3 + nz(wrk4 ). This step combines the refined smoothed value (wrk3) with the previous smoothed value (wrk4 , or 0 if it doesn't exist) to produce the final smoothed value. The purpose of this step is to ensure that the resulting moving average incorporates information from past values, making it smoother and more representative of the underlying trend. 8. Return wrk4: The function returns the final smoothed value wrk4. This value represents the Smoother Moving Average for the given data point in the price series. In summary, the smoother function calculates a custom moving average by using a series of steps to weight and combine recent price data with past smoothed values. The resulting moving average is more responsive to recent price changes while still maintaining a smooth curve, which helps reveal underlying trends and reduce noise in the data. The alpha parameter plays a key role in balancing the responsiveness and smoothness of the moving average, allowing users to customize the behavior of the algorithm based on their specific needs and preferences. What is the CCI Adaptive Smoother? The Commodity Channel Index (CCI) Adaptive Smoother is an innovative technical analysis tool that combines the benefits of the CCI indicator with a Smoother Moving Average. By adapting the CCI calculation based on the current market volatility, this method offers a more responsive and flexible approach to identifying potential trends and trading signals in financial markets. The CCI is a momentum-based oscillator designed to determine whether an asset is overbought or oversold. It measures the difference between the typical price of an asset and its moving average, divided by the mean absolute deviation of the typical price. The traditional CCI calculation relies on a fixed period, which may not be suitable for all market conditions, as volatility can change over time. The introduction of the Smoother Moving Average to the CCI calculation addresses this limitation. The Smoother Moving Average is a custom smoothing algorithm that combines elements of exponential moving averages with additional calculations to fine-tune the smoothing effect based on a given parameter. This algorithm assigns more importance to recent data points, making it more sensitive to recent changes in the data. The CCI Adaptive Smoother dynamically adjusts the period of the Smoother Moving Average based on the current market volatility. This is accomplished by calculating the standard deviation of the close prices over a specified period and then computing the simple moving average of the standard deviation. By comparing the average standard deviation with the current standard deviation, the adaptive period for the Smoother Moving Average can be determined. This adaptive approach allows the CCI Adaptive Smoother to be more responsive to changing market conditions. In periods of high volatility, the adaptive period will be shorter, resulting in a more responsive moving average. Conversely, in periods of low volatility, the adaptive period will be longer, producing a smoother moving average. This flexibility enables the CCI Adaptive Smoother to better identify trends and potential trading signals in a variety of market environments. Furthermore, the CCI Adaptive Smoother is a prime example of the evolution of technical analysis methodologies. As markets continue to become more complex and dynamic, it is crucial for analysts and traders to adapt and improve their techniques to stay competitive. The incorporation of adaptive algorithms, like the Smoother Moving Average, demonstrates the potential for blending traditional indicators with cutting-edge methods to create more powerful and versatile tools for market analysis. The versatility of the CCI Adaptive Smoother makes it suitable for various trading strategies, including trend-following, mean-reversion, and breakout systems. By providing a more precise measurement of overbought and oversold conditions, the CCI Adaptive Smoother can help traders identify potential entry and exit points with greater accuracy. Additionally, its responsiveness to changing market conditions allows for more timely adjustments in trading positions, reducing the risk of holding onto losing trades. While the CCI Adaptive Smoother is a valuable tool, it is essential to remember that no single indicator can provide a complete picture of the market. As seasoned analysts and traders, we must always consider a holistic approach, incorporating multiple indicators and techniques to confirm signals and validate our trading decisions. By combining the CCI Adaptive Smoother with other technical analysis tools, such as trend lines, support and resistance levels, and candlestick patterns, traders can develop a more comprehensive understanding of the market and make more informed decisions. The development of the CCI Adaptive Smoother also highlights the increasing importance of computational power and advanced algorithms in the field of technical analysis. As financial markets become more interconnected and influenced by various factors, including macroeconomic events, geopolitical developments, and technological innovations, the need for sophisticated tools to analyze and interpret complex data sets becomes even more critical. Machine learning and artificial intelligence (AI) are becoming increasingly relevant in the world of trading and investing. These technologies have the potential to revolutionize how technical analysis is performed, by automating the discovery of patterns, relationships, and trends in the data. By leveraging machine learning algorithms and AI-driven techniques, traders can uncover hidden insights, improve decision-making processes, and optimize trading strategies. The CCI Adaptive Smoother is just one example of how advanced algorithms can enhance traditional technical indicators. As the adoption of machine learning and AI continues to grow in the financial sector, we can expect to see the emergence of even more sophisticated and powerful analysis tools. These innovations will undoubtedly lead to a new era of technical analysis, where the ability to quickly adapt to changing market conditions and extract meaningful insights from complex data becomes increasingly critical for success. In conclusion, the CCI Adaptive Smoother is an essential step forward in the evolution of technical analysis. It demonstrates the potential for combining traditional indicators with advanced algorithms to create more responsive and versatile tools for market analysis. As technology continues to advance and reshape the financial landscape, it is crucial for traders and analysts to stay informed and embrace innovation. By integrating cutting-edge tools like the CCI Adaptive Smoother into their arsenal, traders can gain a competitive edge and enhance their ability to navigate the increasingly complex world of financial markets. Additional Features This indicator allows you to select from 33 source types. They are as follows: Close Open High Low Median Typical Weighted Average Average Median Body Trend Biased Trend Biased (Extreme) HA Close HA Open HA High HA Low HA Median HA Typical HA Weighted HA Average HA Average Median Body HA Trend Biased HA Trend Biased (Extreme) HAB Close HAB Open HAB High HAB Low HAB Median HAB Typical HAB Weighted HAB Average HAB Average Median Body HAB Trend Biased HAB Trend Biased (Extreme) What are Heiken Ashi "better" candles? Heiken Ashi "better" candles are a modified version of the standard Heiken Ashi candles, which are a popular charting technique used in technical analysis. Heiken Ashi candles help traders identify trends and potential reversal points by smoothing out price data and reducing market noise. The "better formula" was proposed by Sebastian Schmidt in an article published by BNP Paribas in Warrants & Zertifikate, a German magazine, in August 2004. The aim of this formula is to further improve the smoothing of the Heiken Ashi chart and enhance its effectiveness in identifying trends and reversals. Standard Heiken Ashi candles are calculated using the following formulas: Heiken Ashi Close = (Open + High + Low + Close) / 4 Heiken Ashi Open = (Previous Heiken Ashi Open + Previous Heiken Ashi Close) / 2 Heiken Ashi High = Max (High, Heiken Ashi Open, Heiken Ashi Close) Heiken Ashi Low = Min (Low, Heiken Ashi Open, Heiken Ashi Close) The "better formula" modifies the standard Heiken Ashi calculation by incorporating additional smoothing, which can help reduce noise and make it easier to identify trends and reversals. The modified formulas for Heiken Ashi "better" candles are as follows: Better Heiken Ashi Close = (Open + High + Low + Close) / 4 Better Heiken Ashi Open = (Previous Better Heiken Ashi Open + Previous Better Heiken Ashi Close) / 2 Better Heiken Ashi High = Max (High, Better Heiken Ashi Open, Better Heiken Ashi Close) Better Heiken Ashi Low = Min (Low, Better Heiken Ashi Open, Better Heiken Ashi Close) Smoothing Factor = 2 / (N + 1), where N is the chosen period for smoothing Smoothed Better Heiken Ashi Open = (Better Heiken Ashi Open * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Open * (1 - Smoothing Factor)) Smoothed Better Heiken Ashi Close = (Better Heiken Ashi Close * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Close * (1 - Smoothing Factor)) The smoothed Better Heiken Ashi Open and Close values are then used to calculate the smoothed Better Heiken Ashi High and Low values, resulting in "better" candles that provide a clearer representation of the market trend and potential reversal points. It's important to note that, like any other technical analysis tool, Heiken Ashi "better" candles are not foolproof and should be used in conjunction with other indicators and analysis techniques to make well-informed trading decisions. Heiken Ashi "better" candles, as mentioned previously, provide a clearer representation of market trends and potential reversal points by reducing noise and smoothing out price data. When using these candles in conjunction with other technical analysis tools and indicators, traders can gain valuable insights into market behavior and make more informed decisions. To effectively use Heiken Ashi "better" candles in your trading strategy, consider the following tips: Trend Identification: Heiken Ashi "better" candles can help you identify the prevailing trend in the market. When the majority of the candles are green (or another color, depending on your chart settings) and there are no or few lower wicks, it may indicate a strong uptrend. Conversely, when the majority of the candles are red (or another color) and there are no or few upper wicks, it may signal a strong downtrend. Trend Reversals: Look for potential trend reversals when a change in the color of the candles occurs, especially when accompanied by longer wicks. For example, if a green candle with a long lower wick is followed by a red candle, it could indicate a bearish reversal. Similarly, a red candle with a long upper wick followed by a green candle may suggest a bullish reversal. Support and Resistance: You can use Heiken Ashi "better" candles to identify potential support and resistance levels. When the candles are consistently moving in one direction and then suddenly change color with longer wicks, it could indicate the presence of a support or resistance level. Stop-Loss and Take-Profit: Using Heiken Ashi "better" candles can help you manage risk by determining optimal stop-loss and take-profit levels. For instance, you can place your stop-loss below the low of the most recent green candle in an uptrend or above the high of the most recent red candle in a downtrend. Confirming Signals: Heiken Ashi "better" candles should be used in conjunction with other technical indicators, such as moving averages, oscillators, or chart patterns, to confirm signals and improve the accuracy of your analysis. In this implementation, you have the choice of AMA, KAMA, or T3 smoothing. These are as follows: Kaufman Adaptive Moving Average (KAMA) The Kaufman Adaptive Moving Average (KAMA) is a type of adaptive moving average used in technical analysis to smooth out price fluctuations and identify trends. The KAMA adjusts its smoothing factor based on the market's volatility, making it more responsive in volatile markets and smoother in calm markets. The KAMA is calculated using three different efficiency ratios that determine the appropriate smoothing factor for the current market conditions. These ratios are based on the noise level of the market, the speed at which the market is moving, and the length of the moving average. The KAMA is a popular choice among traders who prefer to use adaptive indicators to identify trends and potential reversals. Adaptive Moving Average The Adaptive Moving Average (AMA) is a type of moving average that adjusts its sensitivity to price movements based on market conditions. It uses a ratio between the current price and the highest and lowest prices over a certain lookback period to determine its level of smoothing. The AMA can help reduce lag and increase responsiveness to changes in trend direction, making it useful for traders who want to follow trends while avoiding false signals. The AMA is calculated by multiplying a smoothing constant with the difference between the current price and the previous AMA value, then adding the result to the previous AMA value. T3 The T3 moving average is a type of technical indicator used in financial analysis to identify trends in price movements. It is similar to the Exponential Moving Average (EMA) and the Double Exponential Moving Average (DEMA), but uses a different smoothing algorithm. The T3 moving average is calculated using a series of exponential moving averages that are designed to filter out noise and smooth the data. The resulting smoothed data is then weighted with a non-linear function to produce a final output that is more responsive to changes in trend direction. The T3 moving average can be customized by adjusting the length of the moving average, as well as the weighting function used to smooth the data. It is commonly used in conjunction with other technical indicators as part of a larger trading strategy. █ Giga Kaleidoscope Modularized Trading System 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: CCI Adaptive Smoother as shown on the chart above Confirmation 2: Williams Percent Range Continuation: CCI Adaptive Smoother 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 Volatility/Volume Entry 1. GKD-V Volatility/Volume 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-B Baseline 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 1-Candle Rule Volatility/Volume Entry 1. GKD-V Volatility/Volume 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 Volatility/Volume agrees 3. GKD-C Confirmation 1 agrees 4. GKD-C Confirmation 2 agrees 5. GKD-B Baseline 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 2. GKD-C Confirmation 1 agrees 3. GKD-C Confirmation 2 agrees 4. GKD-V Volatility/Volume Agrees ]█ Setting up the GKD The GKD system involves chaining indicators together. These are the steps to set this up. Use a GKD-C indicator alone on a chart 1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple" Use a GKD-V indicator alone on a chart **nothing, it's already useable on the chart without any settings changes Use a GKD-B indicator alone on a chart **nothing, it's already useable on the chart without any settings changes Baseline (Baseline, Backtest) 1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)" 2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline" Volatility/Volume (Volatility/Volume, Backte st) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo" 2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested) 3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest" 4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume" 5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately) 6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short 7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts. Solo Confirmation Simple (Confirmation, Backtest) 1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple" 1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest" 2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple" Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained" 2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)" 3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex" 4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest" 5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits" 6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest" Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained" 2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)" 3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex" 4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest" 5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit" 6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits" 7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest" Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained" 2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)" 3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1" 4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest" 5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2" 6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2" 7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation" 8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits" 9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest" Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained" 2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)" 3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1" 4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest" 5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2" 6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2" 7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation" 8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit" 9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits" 10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest" Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest) 1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume" 2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional" 3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)" 4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume" 5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest" 6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately 7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts. Requirements Inputs Confirmation 1: GKD-V Volatility / Volume indicator Confirmation 2: GKD-C Confirmation indicator Continuation: GKD-C Confirmation indicator Solo Confirmation Simple: GKD-B Baseline Solo Confirmation Complex: GKD-V Volatility / Volume indicator Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator Stacked 1: None Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1 Outputs Confirmation 1: GKD-C Confirmation 2 indicator Confirmation 2: GKD-C Continuation indicator Continuation: GKD-E Exit indicator Solo Confirmation Simple: GKD-BT Backtest Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator Solo Confirmation Super Complex: GKD-C Continuation indicator Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+ Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest Additional features will be added in future releases.
Indicatore Pine Script®
di loxx
1