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TASC 2025.04 The Ultimate Oscillator█ OVERVIEW This script implements an alternative, refined version of the Ultimate Oscillator (UO) designed to reduce lag and enhance responsiveness in momentum indicators, as introduced by John F. Ehlers in his article "Less Lag In Momentum Indicators, The Ultimate Oscillator" from the April 2025 edition of TASC's Traders' Tips . █ CONCEPTS In his article, Ehlers states that indicators are essentially filters that remove unwanted noise (i.e., unnecessary information) from market data. Simply put, they process a series of data to place focus on specific information, providing a different perspective on price dynamics. Various filter types attenuate different periodic signals within the data. For instance, a lowpass filter allows only low-frequency signals, a highpass filter allows only high-frequency signals, and a bandpass filter allows signals within a specific frequency range . Ehlers explains that the key to removing indicator lag is to combine filters of different types in such a way that the result preserves necessary, useful signals while minimizing delay (lag). His proposed UltimateOscillator aims to maintain responsiveness to a specific frequency range by measuring the difference between two highpass filters' outputs. The oscillator uses the following formula: UO = (HP1 - HP2) / RMS Where: HP1 is the first highpass filter. HP2 is another highpass filter that allows only shorter wavelengths than the critical period of HP1. RMS is the root mean square of the highpass filter difference, used as a scaling factor to standardize the output. The resulting oscillator is similar to a bandpass filter , because it emphasizes wavelengths between the critical periods of the two highpass filters. Ehlers' UO responds quickly to value changes in a series, providing a responsive view of momentum with little to no lag. █ USAGE Ehlers' UltimateOscillator sets the critical periods of its highpass filters using two parameters: BandEdge and Bandwidth : The BandEdge sets the critical period of the second highpass filter, which determines the shortest wavelengths in the response. The Bandwidth is a multiple of the BandEdge used for the critical period of the first highpass filter, which determines the longest wavelengths in the response. Ehlers suggests that a Bandwidth value of 2 works well for most applications. However, traders can use any value above or equal to 1.4. Users can customize these parameters with the "Bandwidth" and "BandEdge" inputs in the "Settings/Inputs" tab. The script plots the UO calculated for the specified "Source" series in a separate pane, with a color based on the chart's foreground color. Positive UO values indicate upward momentum or trends, and negative UO values indicate the opposite. Additionally, this indicator provides the option to display a "cloud" from 10 additional UO series with different settings for an aggregate view of momentum. The "Cloud" input offers four display choices: "Bandwidth", "BandEdge", "Bandwidth + BandEdge", or "None". The "Bandwidth" option calculates oscillators with different Bandwidth values based on the main oscillator's setting. Likewise, the "BandEdge" option calculates oscillators with varying BandEdge values. The "Bandwidth + BandEdge" option calculates the extra oscillators with different values for both parameters. When a user selects any of these options, the script plots the maximum and minimum oscillator values and fills their space with a color gradient. The fill color corresponds to the net sum of each UO's sign , indicating whether most of the UOs reflect positive or negative momentum. Green hues mean most oscillators are above zero, signifying stronger upward momentum. Red hues mean most are below zero, indicating stronger downward momentum.
Indicatore Pine Script®
di PineCodersTASC
5
AO/AC Trading Zones Strategy [Skyrexio] Overview AO/AC Trading Zones Strategy leverages the combination of Awesome Oscillator (AO), Acceleration/Deceleration Indicator (AC), Williams Fractals, Williams Alligator and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Combination of AO and AC is used for creating so-called trading zones to create the signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over. In some special cases strategy uses AO and AC combination to trail profit (more information in "Methodology" and "Justification of Methodology" paragraphs) Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one. Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one. Methodology The strategy opens long trade when the following price met the conditions: 1. Price closed above EMA (by default, period = 100). Crossover is not obligatory. 2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph) 3. Both AC and AO shall print two consecutive increasing values. At the price candle close which corresponds to this condition algorithm opens the first long trade with 10% of capital. 4. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened. 5. If AO and AC both continue printing the rising values strategy opens the long trade on each candle close with 10% of capital while number of opened trades reaches 5. 6. If AO and AC both has printed 5 rising values in a row algorithm close all trades if candle's low below the low of the 5-th candle with rising AO and AC values in a row. Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent. Strategy settings In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA. The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows: 1.Calculate the Smoothing Multiplier: Multiplier = 2 / (n + 1), Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either: Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal. Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal. Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy. How do these tools work together in this strategy? Let’s consider an example of an uptrend. When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish. The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals. In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades. By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics. Now let's talk about the trading zones concept and its signals. To understand this we need to briefly introduce what is AO and AC. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends. The formula for AO is as follows: AO = SMA5(Median Price) − SMA34(Median Price) where: Median Price = (High + Low) / 2 SMA5 = 5-period Simple Moving Average of the Median Price SMA 34 = 34-period Simple Moving Average of the Median Price The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula: AC = AO − SMA5(AO) , where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator When the AC is above the zero line and rising, it suggests accelerating upward momentum. When the AC is below the zero line and falling, it indicates accelerating downward momentum. When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum. Now let's discuss the trading zones concept and how it can create the signal. Zones are created by the combination of AO and AC. We can divide three zone types: Greed zone: when the AO and AC both are rising Red zone: when the AO and AC both are decreasing Gray zone: when one of AO or AC is rising, the other is falling Gray zone is considered as uncertainty. AC and AO are moving in the opposite direction. Strategy skip such price action to decrease the chance to stuck in the losing trade during potential sideways. Red zone is also not interesting for the algorithm because both indicators consider the trend as bearish, but strategy opens only long trades. It is waiting for the green zone to increase the chance to open trade in the direction of the potential uptrend. When we have 2 candles in a row in the green zone script executes a long trade with 10% of capital. Two green zone candles in a row is considered by algorithm as a bullish trend, but now so strong, that's the reason why trade is going to be closed when the combination of Alligator and Fractals will consider the the trend change from bullish to bearish. If id did not happens, algorithm starts to count the green zone candles in a row. When we have 5 in a row script change the trade closing condition. Such situation is considered is a high probability strong bull market and all trades will be closed if candle's low will be lower than fifth green zone candle's low. This is used to increase probability to secure the profit. If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. Each trade uses 10% of capital. Why we use trading zones signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC and AO values in the direction of the most likely main trend signaling that we have the high probability of the fastest bullish phase on the market. The main idea is to take part in such rapid moves and add trades if this move continues its acceleration according to indicators. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.12.31. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 10% Maximum Single Position Loss: -9.49% Maximum Single Profit: +24.33% Net Profit: +4374.70 USDT (+43.75%) Total Trades: 278 (39.57% win rate) Profit Factor: 2.203 Maximum Accumulated Loss: 668.16 USDT (-5.43%) Average Profit per Trade: 15.74 USDT (+1.37%) Average Trade Duration: 60 hours How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
Strategia Pine Script®
di Skyrexio
Dynamic RSI Bollinger Bands with Waldo Cloud TradingView Indicator Description: Dynamic RSI Bollinger Bands with Waldo Cloud Title: Dynamic RSI Bollinger Bands with Waldo Cloud Short Title: Dynamic RSI BB Waldo Overview: Introducing an experimental indicator, the Dynamic RSI Bollinger Bands with Waldo Cloud, designed for adventurous traders looking to explore new dimensions in technical analysis. This indicator overlays on your chart, providing a unique perspective by integrating the Relative Strength Index (RSI) with Bollinger Bands, creating a dynamic trading tool that adapts to market conditions through the lens of momentum and volatility. What is it? This innovative indicator combines the traditional Bollinger Bands with the RSI in a way that hasn't been commonly explored. Here's a breakdown: RSI Integration: The RSI is calculated with customizable length settings, and its values are used not just for momentum analysis but as the basis for the Bollinger Bands. This means the position and width of the bands are directly influenced by the RSI, offering a visual representation of momentum within the context of price volatility. Dynamic Bollinger Bands: Instead of using price directly, the Bollinger Bands are calculated using a scaled version of the RSI. This scaling is done to fit the RSI values into the price range, ensuring the bands are relevant to the actual price movement. The standard deviation for these bands is also scaled accordingly, providing a unique volatility measure that's momentum-driven. Waldo Cloud: Named after a visual representation concept, the 'Waldo Cloud' refers to the colored area between the Bollinger Bands, which changes based on various conditions: Purple when RSI is overbought. Blue when RSI is oversold. Green for bullish conditions, defined by the fast-moving average crossing above the slow one, RSI is bullish, and the price is above the slow MA. Red for bearish conditions, when the fast MA crosses below the slow MA, the RSI is bearish, and the price is below the slow MA. Gray for neutral market conditions. Moving Averages: Two simple moving averages (Fast MA and Slow MA) are included, which can be toggled on or off, offering additional trend analysis through crossovers. How to Use It: Given its experimental nature, this indicator should be used with caution and in conjunction with other analysis methods: Identifying Market Conditions: Use the color of the Waldo Cloud to gauge market sentiment. A green cloud might suggest a good time to consider long positions, while a red cloud could indicate potential shorting opportunities. Purple and blue clouds highlight extreme conditions that might precede reversals. Volatility and Momentum: The dynamic nature of the Bollinger Bands based on RSI provides insight into how momentum is affecting price volatility. When the bands are wide, it might indicate high momentum and potential trend continuation or reversal, depending on the RSI's position relative to its overbought/oversold levels. Trend Confirmation: The moving average crossovers can act as confirmation signals. For instance, a bullish crossover (fast MA over slow MA) within a green cloud might strengthen a buy signal, whereas a bearish crossover in a red cloud might reinforce a sell decision. Customization: Adjust the RSI length, overbought/oversold levels, and moving average lengths to suit different trading styles or market conditions. Experiment with these settings to find what works best for your strategy. Combining with Other Indicators: Since this is an experimental tool, it's advisable to use it alongside established indicators like traditional Bollinger Bands, MACD, or trend lines to validate signals. Conclusion: The Dynamic RSI Bollinger Bands with Waldo Cloud is an experimental venture into combining momentum with volatility visually and interactively. It's designed for traders who are open to exploring new methods of market analysis. Remember, due to its experimental status, this indicator should be part of a broader trading strategy, and backtesting or paper trading is recommended before applying it in live trading scenarios. Keep an eye on how the market reacts to the signals provided by this indicator and always consider risk management practices.
Indicatore Pine Script®
di RSI_Trading_Concepts
2
TDI 7 MA and HISTOGRAMTDI %K Histogram with 7 MA Overview This indicator enhances trend and momentum analysis using the %K line from the Traders Dynamic Index (TDI), combined with a 7-period moving average (MA) and a histogram. How It Works The script calculates %K (similar to Stochastic RSI), representing the relative price position within a given range. A 7-period Simple Moving Average (SMA) is applied to smooth the %K line, reducing noise and improving trend clarity. A histogram is plotted based on the difference between %K and the 7-period MA: Green bars indicate that %K is above the 7-period MA, suggesting bullish momentum. Red bars indicate that %K is below the 7-period MA, suggesting bearish momentum. Key Features -%K Line (Blue) – Reflects short-term momentum shifts. -7-period MA (Purple) – Helps smooth out fluctuations in %K for better trend identification. -Histogram (Green/Red Columns) – Highlights momentum shifts visually. Overbought (68), Midpoint (50), and Oversold (32) Levels – Provides reference points for potential reversals or trend continuation. How to Use Bullish Confirmation: When the histogram turns green and %K is above the 7 MA, it suggests upward momentum. Bearish Confirmation: When the histogram turns red and %K is below the 7 MA, it suggests downward momentum. Overbought/Oversold Conditions: Use the 68 and 32 levels as potential reversal zones, but always confirm with price action. Midpoint (50 Level): Acts as a dynamic support/resistance area for momentum shifts. This indicator is suitable for trend-following and momentum-based trading strategies, whether on lower timeframes for scalping or higher timeframes for swing trading. Try it out and integrate it with your trading system to refine your entries and exits!
Indicatore Pine Script®
di sindyg79
Rosiz Support 1### Description of the Custom Indicator: MACD + CMF + MOM This custom indicator combines three powerful technical analysis tools: **MACD (Moving Average Convergence Divergence)**, **CMF (Chaikin Money Flow)**, and **MOM (Momentum)**, to provide a comprehensive view of market trends, momentum, and money flow in a single pane. Here's what each component offers: --- #### 1. **MACD (Moving Average Convergence Divergence)** The **MACD** is a trend-following momentum indicator that shows the relationship between two moving averages of an asset’s price. - **Purpose**: Identifies trend direction and momentum strength. - **Key Components**: - **MACD Line**: Difference between the fast and slow exponential moving averages (EMA). - **Signal Line**: A smoothed moving average of the MACD line, acting as a trigger for buy/sell signals. - **Histogram**: The difference between the MACD line and the signal line. Positive values indicate bullish momentum, while negative values indicate bearish momentum. - **Usage**: Look for crossovers (MACD crossing the signal line) to identify potential trend changes. --- #### 2. **CMF (Chaikin Money Flow)** The **CMF** measures the volume-weighted average of accumulation and distribution over a specific period. It shows whether money is flowing into or out of an asset. - **Purpose**: Detects buying or selling pressure based on price and volume. - **Key Components**: - **Positive CMF**: Indicates that the asset is being accumulated (buying pressure). - **Negative CMF**: Indicates that the asset is being distributed (selling pressure). - **Usage**: Values above 0 suggest bullish strength, while values below 0 suggest bearish strength. --- #### 3. **MOM (Momentum)** The **Momentum Indicator** measures the rate of change of an asset's price over a specified period. It helps traders identify the speed of price movements. - **Purpose**: Highlights the strength and direction of price momentum. - **Key Components**: - **Momentum Line**: Positive values indicate upward momentum, while negative values indicate downward momentum. - **Usage**: A rising momentum line suggests strengthening price trends, while a falling line indicates weakening trends. --- ### Benefits of Combining These Indicators: 1. **Trend Confirmation**: MACD provides a clear picture of trend direction and potential reversals. 2. **Volume-Based Insights**: CMF adds a layer of confirmation by analyzing money flow based on price and volume. 3. **Momentum Analysis**: MOM reveals the speed and strength of price movements, helping traders confirm breakouts or trend exhaustion. 4. **Enhanced Decision-Making**: The combination of these indicators allows traders to make more informed decisions by evaluating different aspects of market behavior in one pane. --- ### How to Use: - **Identify Trends**: Use MACD to identify overall trend direction and reversals. - **Confirm Momentum**: Check MOM to validate the strength of the trend. - **Gauge Buying/Selling Pressure**: Refer to CMF to confirm whether the price movement is backed by accumulation or distribution. - **Entry/Exit Points**: Look for MACD crossovers, CMF shifts above/below zero, and momentum changes to refine entry and exit strategies. This powerful tool integrates the strengths of three indicators, making it ideal for traders looking to analyze market conditions holistically and improve their timing and accuracy.
Indicatore Pine Script®
di muhammadhazmanrosman
Big Candle Identifier with RSI Divergence and Advanced Stops1. Strategy Objective The main goal of this strategy is to: Identify significant price momentum (big candles). Enter trades at opportune moments based on market signals (candlestick patterns and RSI divergence). Limit initial risk through a fixed stop loss. Maximize profits by using a trailing stop that activates only after the trade moves a specified distance in the profitable direction. 2. Components of the Strategy A. Big Candle Identification The strategy identifies big candles as indicators of strong momentum. A big candle is defined as: The body (absolute difference between close and open) of the current candle (body0) is larger than the bodies of the last five candles. The candle is: Bullish Big Candle: If close > open. Bearish Big Candle: If open > close. Purpose: Big candles signal potential continuation or reversal of trends, serving as the primary entry trigger. B. RSI Divergence Relative Strength Index (RSI): A momentum oscillator used to detect overbought/oversold conditions and divergence. Fast RSI: A 5-period RSI, which is more sensitive to short-term price movements. Slow RSI: A 14-period RSI, which smoothens fluctuations over a longer timeframe. Divergence: The difference between the fast and slow RSIs. Positive divergence (divergence > 0): Bullish momentum. Negative divergence (divergence < 0): Bearish momentum. Visualization: The divergence is plotted on the chart, helping traders confirm momentum shifts. C. Stop Loss Initial Stop Loss: When entering a trade, an immediate stop loss of 200 points is applied. This stop loss ensures the maximum risk is capped at a predefined level. Implementation: Long Trades: Stop loss is set below the entry price at low - 200 points. Short Trades: Stop loss is set above the entry price at high + 200 points. Purpose: Prevents significant losses if the price moves against the trade immediately after entry. D. Trailing Stop The trailing stop is a dynamic risk management tool that adjusts with price movements to lock in profits. Here’s how it works: Activation Condition: The trailing stop only starts trailing when the trade moves 200 ticks (profit) in the right direction: Long Position: close - entry_price >= 200 ticks. Short Position: entry_price - close >= 200 ticks. Trailing Logic: Once activated, the trailing stop: For Long Positions: Trails behind the price by 150 ticks (trail_stop = close - 150 ticks). For Short Positions: Trails above the price by 150 ticks (trail_stop = close + 150 ticks). Exit Condition: The trade exits automatically if the price touches the trailing stop level. Purpose: Ensures profits are locked in as the trade progresses while still allowing room for price fluctuations. E. Trade Entry Logic Long Entry: Triggered when a bullish big candle is identified. Stop loss is set at low - 200 points. Short Entry: Triggered when a bearish big candle is identified. Stop loss is set at high + 200 points. F. Trade Exit Logic Trailing Stop: Automatically exits the trade if the price touches the trailing stop level. Fixed Stop Loss: Exits the trade if the price hits the predefined stop loss level. G. 21 EMA The strategy includes a 21-period Exponential Moving Average (EMA), which acts as a trend filter. EMA helps visualize the overall market direction: Price above EMA: Indicates an uptrend. Price below EMA: Indicates a downtrend. H. Visualization Big Candle Identification: The open and close prices of big candles are plotted for easy reference. Trailing Stop: Plotted on the chart to visualize its progression during the trade. Green Line: Indicates the trailing stop for long positions. Red Line: Indicates the trailing stop for short positions. RSI Divergence: Positive divergence is shown in green. Negative divergence is shown in red. 3. Key Parameters trail_start_ticks: The number of ticks required before the trailing stop activates (default: 200 ticks). trail_distance_ticks: The distance between the trailing stop and price once the trailing stop starts (default: 150 ticks). initial_stop_loss_points: The fixed stop loss in points applied at entry (default: 200 points). tick_size: Automatically calculates the minimum tick size for the trading instrument. 4. Workflow of the Strategy Step 1: Entry Signal The strategy identifies a big candle (bullish or bearish). If conditions are met, a trade is entered with a fixed stop loss. Step 2: Initial Risk Management The trade starts with an initial stop loss of 200 points. Step 3: Trailing Stop Activation If the trade moves 200 ticks in the profitable direction: The trailing stop is activated and follows the price at a distance of 150 ticks. Step 4: Exit the Trade The trade is exited if: The price hits the trailing stop. The price hits the initial stop loss. 5. Advantages of the Strategy Risk Management: The fixed stop loss ensures that losses are capped. The trailing stop locks in profits after the trade becomes profitable. Momentum-Based Entries: The strategy uses big candles as entry triggers, which often indicate strong price momentum. Divergence Confirmation: RSI divergence helps validate momentum and avoid false signals. Dynamic Profit Protection: The trailing stop adjusts dynamically, allowing the trade to capture larger moves while protecting gains. 6. Ideal Market Conditions This strategy performs best in: Trending Markets: Big candles and momentum signals are more effective in capturing directional moves. High Volatility: Larger price swings improve the probability of reaching the trailing stop activation level (200 ticks).
Strategia Pine Script®
di AHinson23
1
RSI-Adjusted 9SMAThis indicator integrates the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to create a more robust trading signal by blending momentum and trend analysis. Here's how they work together: How the RSI and SMA Work in Harmony RSI (Momentum Indicator): The RSI measures the speed and change of price movements, oscillating between 0 and 100. Typically, an RSI value above 50 suggests bullish momentum, while values below 50 indicate bearish momentum. The script further refines this by applying a 9-period EMA to the RSI. This smoothing process filters out noise, providing a clearer picture of momentum shifts. SMA (Trend Indicator): The SMA calculates the average price over a specific period (9 in this case), helping to smooth out price fluctuations and identify the overall trend. By observing the SMA, traders can determine whether the market is trending upward, downward, or moving sideways. Combining the Two for Stronger Signals: The RSI EMA acts as a momentum filter. When it is above 50, it indicates the presence of bullish momentum. Under such conditions, the SMA turning blue provides a stronger confirmation of an uptrend. Conversely, when the RSI EMA is below 50, it signals weakening momentum. The SMA turning white underlines the caution, suggesting potential bearish conditions or a lack of trend strength. This combination ensures that traders are not just relying on the SMA's trend-following behavior but also factoring in the market's underlying momentum for more reliable entries and exits. Why This Approach is Robust Avoid False Signals: The SMA alone can generate false signals in choppy or range-bound markets. By incorporating the RSI EMA, the script reduces the likelihood of acting on weak or non-committal trends. Timing Entries and Exits: When both the SMA and RSI EMA align (e.g., blue SMA and RSI EMA > 50), it provides a stronger case for entering trades. Similarly, misalignment (e.g., white SMA and RSI EMA ≤ 50) warns against entering during uncertain conditions. Adapting to Market Conditions: This dual approach captures both short-term momentum shifts (RSI EMA) and longer-term trend direction (SMA), making it useful across different market phases. Practical Application Bullish Setup: RSI EMA > 50 + Blue SMA → Enter or stay in long positions. Bearish Setup: RSI EMA ≤ 50 + White SMA → Exit long positions or consider short opportunities. This combination of indicators offers traders a balanced strategy that considers both the direction of the trend and the underlying momentum, resulting in more confident and timely decision-making.
Indicatore Pine Script®
di Thanat_Pornsirianant
MultiLayer Acceleration/Deceleration Strategy [Skyrexio]Overview MultiLayer Acceleration/Deceleration Strategy leverages the combination of Acceleration/Deceleration Indicator(AC), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Acceleration/Deceleration Indicator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs) Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one. Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one. Methodology The strategy opens long trade when the following price met the conditions: 1. Price closed above EMA (by default, period = 100). Crossover is not obligatory. 2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph) 3. Acceleration/Deceleration shall create one of two types of long signals (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created long signal. 4. If price reaches the order price, long position is opened with 10% of capital. 5. If currently we have opened position and price creates and hit the order price of another one long signal, another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously. 6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened. Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent. Strategy settings In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA. The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows: 1.Calculate the Smoothing Multiplier: Multiplier = 2 / (n + 1), Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either: Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal. Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal. Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy. How do these tools work together in this strategy? Let’s consider an example of an uptrend. When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish. The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals. In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades. By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics. Now let's talk about Acceleration/Deceleration signals. AC indicator is calculated using the Awesome Oscillator, so let's first of all briefly explain what is Awesome Oscillator and how it can be calculated. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends. The formula for AO is as follows: AO = SMA5(Median Price) − SMA34(Median Price) where: Median Price = (High + Low) / 2 SMA5 = 5-period Simple Moving Average of the Median Price SMA 34 = 34-period Simple Moving Average of the Median Price The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula: AC = AO − SMA5(AO), where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator When the AC is above the zero line and rising, it suggests accelerating upward momentum. When the AC is below the zero line and falling, it indicates accelerating downward momentum. When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum. Now we can explain which AC signal types are used in this strategy. The first type of long signal is when AC value is below zero line. In this cases we need to see three rising bars on the histogram in a row after the falling one. The second type of signals occurs above the zero line. There we need only two rising AC bars in a row after the falling one to create the signal. The signal bar is the last green bar in this sequence. The strategy places the buy stop order one tick above the candle's high, which corresponds to the signal bar on AC indicator. After that we can have the following scenarios: Price hit the order on the next candle in this case strategy opened long with this price. Price doesn't hit the order price, the next candle set lower high. If current AC bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AC bar become decreasing. In the second case buy order cancelled and strategy wait for the next AC signal. If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. All open trades are closed when the trend shifts to a downtrend, as determined by the combination of the Alligator and Fractals described earlier. Why we use AC signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC bars after period of falling AC bars indicates the high probability of local pull back end and there is a high chance to open long trade in the direction of the most likely main uptrend. The numbers of rising bars are different for the different AC values (below or above zero line). This is needed because if AC below zero line the local downtrend is likely to be stronger and needs more rising bars to confirm that it has been changed than if AC is above zero. Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next AC signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.11.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 10% Maximum Single Position Loss: -5.15% Maximum Single Profit: +24.57% Net Profit: +2108.85 USDT (+21.09%) Total Trades: 111 (36.94% win rate) Profit Factor: 2.391 Maximum Accumulated Loss: 367.61 USDT (-2.97%) Average Profit per Trade: 19.00 USDT (+1.78%) Average Trade Duration: 75 hours How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
Strategia Pine Script®
di Skyrexio
4
Eze Profit - VWAP + MACD Combined SignalThe Eze Profit - VWAP + MACD Combined Signal is an advanced trading tool designed to help traders align price trends with momentum confirmation for better decision-making. By combining Volume-Weighted Average Price (VWAP) and Moving Average Convergence Divergence (MACD), this indicator provides clear entry and exit signals, allowing traders to follow trends and take advantage of momentum shifts. How It Works: VWAP: VWAP represents the average price of an asset, weighted by volume, over a specific period. It acts as a dynamic support/resistance level and trend filter. Price above VWAP indicates bullish conditions, while price below VWAP suggests bearish conditions. MACD: MACD measures momentum through the difference between fast and slow exponential moving averages (EMAs). Signals are generated when the MACD line crosses its signal line: Bullish Crossover: Indicates increasing upward momentum. Bearish Crossunder: Indicates increasing downward momentum. Combined Logic: Long Signal: Triggered when price is above VWAP, and MACD exhibits a bullish crossover. Short Signal: Triggered when price is below VWAP, and MACD exhibits a bearish crossunder. The script tracks the trader's "in-position" state to prevent redundant signals and ensure clarity. How to Use: Use this script to identify potential long and short trading opportunities: Buy Signal: Enter a long position when the price moves above VWAP and MACD confirms bullish momentum. Sell Signal: Exit or short when the price drops below VWAP and MACD confirms bearish momentum. Combine with additional tools like support/resistance, volume analysis, or candlestick patterns for confirmation. Features: VWAP Trend Filter: Dynamically adjusts to the trading session to identify overall trend direction. MACD Momentum Confirmation: Detects key momentum shifts with configurable settings for fast, slow, and signal lengths. Position State Tracking: Avoids signal redundancy by monitoring open positions. Buy/Sell Visualizations: Plots Buy/Sell signals directly on the chart for ease of use. Alerts: Notifies traders in real-time when a long or short signal is triggered. Customizable Settings: MACD Fast Length, Slow Length, and Signal Smoothing parameters. VWAP timeframe resolution to adapt to different trading styles (e.g., intraday or daily). Credits: This script is based on standard VWAP and MACD calculations provided by TradingView’s library and has been enhanced with unique logic for combined signal generation. Notes: This indicator is intended for educational purposes and should not be considered financial advice. Use it as part of a broader trading strategy alongside other tools for optimal results.
Indicatore Pine Script®
di Eze-profit
Infinity Market Grid -AynetConcept Imagine viewing the market as a dynamic grid where price, time, and momentum intersect to reveal infinite possibilities. This indicator leverages: Grid-Based Market Flow: Visualizes price action as a grid with zones for: Accumulation Distribution Breakout Expansion Volatility Compression Predictive Dynamic Layers: Forecasts future price zones using historical volatility and momentum. Tracks event probabilities like breakout, fakeout, and trend reversals. Data Science Visuals: Uses heatmap-style layers, moving waveforms, and price trajectory paths. Interactive Alerts: Real-time alerts for high-probability market events. Marks critical zones for "buy," "sell," or "wait." Key Features Market Layers Grid: Creates dynamic "boxes" around price using fractals and ATR-based volatility. These boxes show potential future price zones and probabilities. Volatility and Momentum Waves: Overlay volatility oscillators and momentum bands for directional context. Dynamic Heatmap Zones: Colors the chart dynamically based on breakout probabilities and risk. Price Path Prediction: Tracks price trajectory as a moving "wave" across the grid. How It Works Grid Box Structure: Upper and lower price levels are based on ATR (volatility) and plotted dynamically. Dashed green/red lines show the grid for potential price expansion zones. Heatmap Zones: Colors the background based on probabilities: Green: High breakout probability. Blue: High consolidation probability. Price Path Prediction: Forecasts future price movements using momentum. Plots these as a dynamic "wave" on the chart. Momentum and Volatility Waves: Shows the relationship between momentum and volatility as oscillating waves. Helps identify when momentum exceeds volatility (potential breakouts). Buy/Sell Signals: Triggers when price approaches grid edges with strong momentum. Provides alerts and visual markers. Why Is It Revolutionary? Grid and Wave Synergy: Combines structural price zones (grid boxes) with real-time momentum and volatility waves. Predictive Analytics: Uses momentum-based forecasting to visualize what’s next, not just what’s happening. Dynamic Heatmap: Creates a living map of breakout/consolidation zones in real-time. Scalable for Any Market: Works seamlessly with forex, crypto, and stocks by adjusting the ATR multiplier and box length. This indicator is not just a tool but a framework for understanding market dynamics at a deeper level. Let me know if you'd like to take it even further — for example, adding machine learning-inspired probability models or multi-timeframe analysis! 🚀
Indicatore Pine Script®
di Aynet-London
Kalman Trend Levels [BigBeluga]Kalman Trend Levels is an advanced trend-following indicator designed to highlight key support and resistance zones based on Kalman filter crossovers. With dynamic trend analysis and actionable signals, it helps traders interpret market direction and momentum shifts effectively. 🔵 Key Features: Trend Levels with Crossover Boxes: Identifies trend shifts by tracking crossovers between fast and slow Kalman filters. When the fast line crosses above the slow line, a green box level appears, indicating a potential support zone. When it crosses below, a red box level forms, acting as a resistance zone. Retest Signals for Support and Resistance Levels: Enable retest signals to capture price rejections at the established levels, providing possible re-entry points where the price confirms a support or resistance area. Adaptive Candle Coloring by Trend Momentum: Candle colors adjust based on the trend's strength: > During a downtrend, if the fast Kalman line shows upward movement, indicating reduced bearish momentum, candles turn gray to signal the weakening trend. > In an uptrend, when the fast Kalman line declines, showing lower bullish momentum, candles become gray, signaling a potential slowdown in upward movement. Crossover Signals with Price Labels: Displays arrows with price values at crossover points for quick reference, marking where the fast line overtakes or dips below the slow line. These labels provide a precise price snapshot of significant trend changes. 🔵 When to Use: The Kalman Trend Levels indicator is ideal for traders looking to identify and act upon trend changes and significant price zones. By visualizing key levels and momentum shifts, this tool allows you to: Define support and resistance zones that align with trend direction. Identify and react to trend weakening or strengthening via candle color changes. Use retest signals for potential re-entries at critical levels. See crossover points and price values to gain a clearer view of trend changes in real time. With its focus on trend direction, support/resistance, and momentum clarity, Kalman Trend Levels is an essential tool for navigating trending markets, providing actionable insights with every crossover and trend shift.
Indicatore Pine Script®
di BigBeluga
38
DSL Strategy [DailyPanda] Overview The DSL Strategy by DailyPanda is a trading strategy that synergistically combines the idea from indicators to create a more robust and reliable trading tool. By integrating these indicators, the strategy enhances signal accuracy and provides traders with a comprehensive view of market trends and momentum shifts. This combination allows for better entry and exit points, improved risk management, and adaptability to various market conditions. Combining ideas from indicators adds value by: Enhancing Signal Confirmation : The strategy requires alignment between trend and momentum before generating trade signals, reducing false entries. Improving Accuracy : By integrating price action with momentum analysis, the strategy captures more reliable trading opportunities. Providing Comprehensive Market Insight : The combination offers a better perspective on the market, considering both the direction (trend) and the strength (momentum) of price movements. How the Components Work Together 1. Trend Identification with DSL Indicator Dynamic Signal Lines : Calculates upper and lower DSL lines based on a moving average (SMA) and dynamic thresholds derived from recent highs and lows with a specified offset. These lines adapt to market conditions, providing real-time trend insights. ATR-Based Bands : Adds bands around the DSL lines using the Average True Range (ATR) multiplied by a width factor. These bands account for market volatility and help identify potential stop-loss levels. Trend Confirmation : The relationship between the price, DSL lines, and bands determines the current trend. For example, if the price consistently stays above the upper DSL line, it indicates a bullish trend. 2. Momentum Analysis RSI Calculation : Computes the RSI over a specified period to measure the speed and change of price movements. Zero-Lag EMA (ZLEMA) : Applies a ZLEMA to the RSI to minimize lag and produce a more responsive oscillator. DSL Application on Oscillator : Implements the DSL concept on the oscillator by calculating dynamic upper and lower levels. This helps identify overbought or oversold conditions more accurately. Signal Generation : Detects crossovers between the oscillator and its DSL lines. A crossover above the lower DSL line signals potential bullish momentum, while a crossover below the upper DSL line signals potential bearish momentum. 3. Integrated Signal Filtering Confluence Requirement : A trade signal is generated only when both the DSL indicator and oscillator agree. For instance, a long entry requires both an uptrend confirmation from the DSL indicator and a bullish momentum signal from the oscillator. Risk Management Integration : The strategy uses the DSL indicator's bands for setting stop-loss levels and calculates take-profit levels based on a user-defined risk-reward ratio. This ensures that every trade has a predefined risk management plan. -------------------------------------------------------------------------------------------- Originality and Value Added to the Community Unique Synergy : While both indicators are available individually, this strategy is original in how it combines them to enhance their strengths and mitigate their weaknesses, offering a novel approach not present in existing scripts. Enhanced Reliability : By requiring confirmation from both trend and momentum indicators, the strategy reduces false signals and increases the likelihood of successful trades. Versatility : The customizable parameters allow traders to adapt the strategy to different instruments, timeframes, and trading styles, making it a valuable tool for a wide range of trading scenarios. Educational Contribution : The script demonstrates an effective method of combining indicators for improved trading performance, providing insights that other traders can learn from and apply to their own strategies. -------------------------------------------------------------------------------------------- How to Use the Strategy Adding the Strategy to Your Chart Apply the DSL Strategy to your desired trading instrument and timeframe on TradingView. -------------------------------------------------------------------------------------------- Configuring Parameters DSL Indicator Settings : Length (len) : Adjusts the sensitivity of the DSL lines (default is 34). Offset : Determines the look-back period for threshold calculations (default is 30). Bands Width (width) : Changes the distance of the ATR-based bands from the DSL lines (default is 1). DSL-BELUGA Oscillator Settings : Beluga Length (len_beluga) : Sets the period for the RSI calculation in the oscillator (default is 10). DSL Lines Mode (dsl_mode) : Chooses between "Fast" (more responsive) and "Slow" (smoother) modes for the oscillator's DSL lines. Risk Management : Risk Reward (risk_reward) : Defines your desired risk-reward ratio for calculating take-profit levels (default is 1.5). -------------------------------------------------------------------------------------------- Interpreting Signals Long Entry Conditions : Trend Confirmation : Price is above the upper DSL line and the upper DSL band (dsl_up1 > dsl_dn). Price Behavior : The last three candles have both their opens and closes above the upper DSL line. Momentum Signal : The DSL-BELUGA oscillator crosses above its lower DSL line (up_signal), indicating bullish momentum. Short Entry Conditions : Trend Confirmation : Price is below the lower DSL line and the lower DSL band (dsl_dn < dsl_up1). Price Behavior : The last three candles have both their opens and closes below the lower DSL band. Momentum Signal : The DSL-BELUGA oscillator crosses below its upper DSL line (dn_signal), indicating bearish momentum. Exit Conditions : Stop-Loss : Automatically set at the DSL indicator's band level (upper band for longs, lower band for shorts). Take-Profit : Calculated based on the risk-reward ratio and the initial risk determined by the stop-loss distance. Visual Aids Signal Arrows : Upward green arrows for long entries and downward blue arrows for short entries appear on the chart when conditions are met. Stop-Loss and Take-Profit Lines : Red and green lines display the calculated stop-loss and take-profit levels for active trades. Background Highlighting : The chart background subtly changes color to indicate when a signal has been generated. Backtesting and Optimization Use TradingView's strategy tester to backtest the strategy over historical data. Adjust parameters to optimize performance for different instruments or market conditions. Regularly review backtesting results to ensure the strategy remains effective.
Strategia Pine Script®
di DailyPanda
Ultimate Machine Learning MACD (Deep Learning Edition)This script is a "Deep Learning MACD" indicator that combines traditional MACD calculations with advanced machine learning techniques, including recursive feedback, adaptive learning rates, Monte Carlo simulations, and volatility-based adjustments. Here’s a breakdown of its key components: Inputs Lookback: The length of historical data (1000 by default) used for learning and volatility measurement. Momentum and Volatility Weighting: Adjusts how much momentum and volatility contribute to the learning process (momentum weight: 1.2, volatility weight: 1.5). MACD Lengths: Defines the range for MACD fast and slow lengths, starting at minimum of 1 and max of 1000. Learning Rate: Defines how much the model learns from its predictions (very small learning rate by default). Adaptive Learning: Enables dynamic learning rates based on market volatility. Memory Factor: A feedback factor that determines how much weight past performance has in the current model. Simulations: The number of Monte Carlo simulations used for probabilistic modeling. Price Change: Calculated as the difference between the current and previous close. Momentum: Measured using a lookback period (1000 bars by default). Volatility: Standard deviation of closing prices. ATR: Average true range over 14 periods for measuring market volatility. Custom EMA Calculation Implements an exponential moving average (EMA) formula from scratch using a recursive calculation with a smoothing factor. Dynamic Learning Rate Adjusts the learning rate based on market volatility. When volatility is high, the learning rate increases, and when volatility is low, it decreases. This makes the model more responsive during volatile markets and more stable during calm periods. Error Calculation and Adjustment Error Calculation: Measures the difference between the predicted value (via Monte Carlo simulations) and the true MACD value. Adjust MACD Length: Uses the error to adjust the fast and slow MACD lengths dynamically, so the system can learn from market conditions. Probabilistic Monte Carlo Simulation Runs multiple simulations (200 by default) to generate probabilistic predictions. It uses random values weighted by momentum and volatility to simulate various market scenarios, enhancing prediction accuracy. MACD Calculation (Learning-Enhanced) A custom MACD function that calculates: Fast EMA and Slow EMA for MACD line. Signal Line: An EMA of the MACD line. Histogram: The difference between the MACD and signal lines. Adaptive MACD Calculation Adjusts the fast and slow MACD lengths based on the error from the Monte Carlo prediction. Calculates the adaptive MACD, signal, and histogram using dynamically adjusted lengths. Recursive Memory Feedback Stores previous MACD values in an array (macdMemory) and averages them to create a feedback loop. This adds a "memory" to the system, allowing it to learn from past behaviors and refine future predictions. Volatility-Based Reinforcement Introduces a volatility reinforcement factor that influences the signal based on market conditions. It adds volatility awareness to the feedback system, making the system more reactive during high volatility periods. Smoothed MACD After all the adjustments, the MACD line is further smoothed based on the current market volatility, resulting in a final smoothed MACD. Key Features Monte Carlo Simulation: Runs multiple simulations to enhance predictions based on randomness and market behavior. Adaptive Learning: Dynamic adjustments of learning rates and MACD lengths based on market conditions. Recursive Feedback: Uses past data as feedback to refine the system’s predictions over time. Volatility Awareness: Integrates market volatility into the system, making the MACD more responsive to market fluctuations. This combination of traditional MACD with machine learning creates an adaptive indicator capable of learning from past behaviors and adjusting its sensitivity based on changing market conditions.
Indicatore Pine Script®
di Cmo22
1
(MA-EWMA) with ChannelsHamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average This script is an advanced financial indicator that calculates a Hamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average (MA-EWMA). It adapts dynamically to market conditions, adjusting key parameters like lookback period, momentum length, and volatility sensitivity based on price volatility. Key Components: Dynamic Adjustments: The indicator adjusts its lookback and momentum length using the ATR (Average True Range), making it more responsive to volatile markets. Volume Weighting: It incorporates volume data, weighting the moving average based on the volume activity, adding further sensitivity to price movement. Bidirectional Momentum: It calculates upward and downward momentum separately, using these values to determine the directional weighting of the moving average. Hamming Window: This technique smooths the price data by applying a Hamming window, which helps to reduce noise in the data and enhances the accuracy of the moving average. Channels: Instead of plotting a single line, the script creates dynamic channels, providing more context for support and resistance levels based on the market's behavior. The result is a highly adaptive and sophisticated moving average indicator that responds dynamically to both price momentum and volume trends.
Indicatore Pine Script®
di Cmo22
MTF RSI+CMO PROThis RSI+CMO script combines the Relative Strength Index (RSI) and Chande Momentum Oscillator (CMO), providing a powerful tool to help traders analyze price momentum and spot potential turning points in the market. Unlike using RSI alone, the CMO (especially with a 14-period length) moves faster and accentuates price pops and dips in the histogram, making price shifts more apparent. Indicator Features: ➡️RSI and CMO Combined: This indicator allows traders to track both RSI and CMO values simultaneously, highlighting differences in their movement. RSI and CMO values are both plotted on the histogram, while CMO values are also drawn as a line moving through the histogram, giving a visual representation of their relationship. The often faster-moving CMO accentuates short-term price movements, helping traders spot subtle shifts in momentum that the RSI might smooth out. ➡️Multi-Time Frame Table: A real-time, multi-time frame table displays RSI and CMO values across various timeframes. This gives traders an overview of momentum across different intervals, making it easier to spot trends and divergences across short and long-term time frames. ➡️Momentum Chart Label: A chart label compares the current RSI and CMO values with values from 1 and 2 bars back, providing an additional metric to gauge momentum. This feature allows traders to easily see if momentum is increasing or decreasing in real-time. ➡️RSI/CMO Bullish and Bearish Signals: Colored arrow plot shapes (above the histogram) indicate when RSI and CMO values are signaling bullish or bearish conditions. For example, green arrows appear when RSI is above 65, while purple arrows show when RSI is below 30 and CMO is below -40, indicating strong bearish momentum. ➡️Divergences in Histogram: The histogram can make it easier for traders to spot divergences between price and momentum. For instance, if the price is making new highs but the RSI or CMO is not, a bearish divergence may be forming. Similarly, bullish divergences can be spotted when prices are making lower lows while RSI or CMO is rising. ➡️Alert System: Alerts are built into the indicator and will trigger when specific conditions are met, allowing traders to stay informed of potential entry or exit points based on RSI and CMO levels without constantly monitoring the chart. These are set manually. Look for the 3 dots in the indicator name. How Traders Can Use the Indicator: 💥Identifying Momentum Shifts: The RSI+CMO combination is ideal for spotting momentum shifts in the market. Traders can monitor the histogram and the CMO line to determine if the market is gaining or losing strength. 💥Confirming Trade Entries/Exits: Use the real-time RSI and CMO values across multiple time frames to confirm trades. For instance, if the 1-hour RSI is above 70 but the 1-minute RSI is turning down, it could indicate short-term overbought conditions, signaling a potential exit or reversal. 💥Spotting Divergences: Divergences are critical for predicting potential reversals. The histogram can be used to spot divergences when RSI and CMO values deviate from price action, offering an early signal of market exhaustion. 💥Tracking Multi-Time Frame Trends: The multi-time frame table provides insight into the market’s overall trend across several timeframes, helping traders ensure their decisions align with both short and long-term trends. RSI vs. CMO: Why Use Both? While both RSI and CMO measure momentum, the CMO often moves faster with a value of 14 for example, reacting to price changes more quickly. This makes it particularly effective for detecting sharp price movements, while RSI helps smooth out price action. By using both, traders get a clearer picture of the market's momentum, particularly during volatile periods. Confluence and Price Fluidity: One of the powerful ways to enhance the effectiveness of this indicator is by using it in conjunction with other technical analysis tools to create confluence. Confluence occurs when multiple indicators or price action signals align, providing stronger confirmation for a trade decision. For example: 🎯Support and Resistance Levels: Traders can use RSI+CMO in combination with key support and resistance zones. If the price is nearing a support level and RSI+CMO values start to signal a bullish reversal, this alignment strengthens the case for entering a long position. 🎯Moving Averages: When the RSI+CMO signals a potential trend reversal and this is confirmed by a crossover in moving averages (such as a 50-day and 200-day moving average), traders gain additional confidence in the trade direction. 🎯Momentum Indicators: Traders can also look for momentum indicators like the MACD to confirm the strength of a trend or potential reversal. For instance, if the RSI+CMO values start to decrease rapidly while both the RSI+CMO also shows overbought conditions, this could provide stronger confirmation to exit a long trade or enter a short position. 🎯Candlestick Patterns: Price fluidity can be monitored using candlestick formations. For example, a bearish engulfing pattern with decreasing RSI+CMo values offers confluence, adding confidence to the signal to close or short the trade. By combining the MTF RSI+CMO PRO with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
Indicatore Pine Script®
di MYNAMEISBRANDON
Inverse Fisher Oscillator [BigBeluga]The Inverse Fisher Oscillator is a powerful tool for identifying market trends and potential reversal points by applying the Inverse Fisher Transform to normalized price data. This indicator plots multiple smoothed oscillators, each color-coded to signify their relation to dynamic volatility bands. Additionally, the Butterworth filter is incorporated to further refine trend signals. The Inverse Fisher Oscillator offers traders a visually appealing and insightful approach to trend analysis and market direction detection. 🔵 KEY FEATURES ● Inverse Fisher Oscillator Visualization Multiple Oscillators : The indicator calculates and plots six different Inverse Fisher Oscillators, each smoothed at increasing levels to provide a layered view of price momentum. Color-Coded Signals : The oscillator lines are color-coded based on their relation to the volatility bands—green for bullish momentum, red for bearish momentum, and yellow for neutral movements. ● Butterworth Filter Integration Filtering : The Butterworth filter is applied to mid-line Bands to reduce noise, allowing for clearer trend detection. // Calculate constants for the Butterworth filter float piPrd = math.pi / mid_len float g = math.sqrt(2) float a1 = math.exp(-g * piPrd) float b1 = 2 * a1 * math.cos(g * piPrd) float coef2 = b1 float coef3 = -a1 * a1 float coef1 = (1 - b1 + a1 * a1) / 4 // Source data for the Butterworth filter float source = ifish // The first inverse Fisher Oscillator is used as the source // Previous source and butter filter values var float butter = na // Initialize the 'butter' variable // Handle null values using the nz function float prevB1 = nz(butter , source) // Use 'source' as a fallback if butter is null float prevB2 = nz(butter , source) // Use 'source' as a fallback if butter is null // Calculate the Butterworth filter value butter := coef1 * (source + (2 * source ) + source ) + (coef2 * prevB1) + (coef3 * prevB2) ● Numbered Signal Marks Signal Markers : The indicator plots numbered signals on the chart when an oscillator crosses above the upper volatility band or below the lower volatility band. Numbered Lines : Numbers correspond to the different oscillators (1-6), helping traders easily identify which smoothing level generated the signal. Visual Cues : The signals are color-coded—green for bullish crossovers and red for bearish crossunders—providing clear visual cues for trend accumulation phases. Mid-Line Option : Traders can choose between plotting the Butterworth filter as a dynamic mid-line or simply displaying it as part of the bands. Volatility Bands : Dynamic volatility bands provide additional context for interpreting the strength and sustainability of trends. ● Dashboard Display Real-Time Market Trend Overview : The dashboard in the bottom-right corner of the chart displays the market trend based on the Inverse Fisher Oscillator for six different smoothing levels, providing a clear visual summary of market direction. Direction Symbols : Directional symbols (up, down, or neutral) are displayed in the dashboard, color-coded to represent bullish, bearish, or neutral momentum. Current Price Display : The dashboard also shows the current price and highlights whether it is above or below the opening price. 🔵 HOW TO USE ● Identifying Trend Reversals Bullish Reversals : When the oscillators short period lines start to cross above the upper volatility band (green), it indicates potential bullish momentum. Bearish Reversals : When the oscillator crosses below the lower volatility band (red), it signals potential bearish momentum. Neutral Signals : When the oscillator remains within the bands (yellow), it suggests that the market is in a neutral or consolidating state. Traders may choose to wait for a clearer trend signal. ● Using the Dashboard for Trend Overview Market Trend Summary : The dashboard provides a quick overview of market direction across six different smoothing levels. Green arrows indicate bullish momentum, red arrows indicate bearish momentum, and wavy lines suggest neutrality. Price Context : The dashboard also displays the current price, helping traders quickly assess whether the price is moving in the expected direction relative to their trend analysis. ● Volatility Band Interpretation Volatility-Based Signals : Pay attention to how the oscillators interact with the volatility bands. Strong trends will often result in oscillators staying above or below the bands, while weaker trends or consolidations will see oscillators hovering within the bands. 🔵 CUSTOMIZATION Length and Smoothing : Adjust the length and smoothing parameters to fit different market conditions and timeframes. Bands Multiplier : Customize the multiplier for the volatility bands to make them more or less sensitive to price changes. Mid-Line Type : Choose whether to display the Butterworth filter as a mid-line or incorporate it into the volatility bands. Signal Markers : Toggle on or off the number markers for signal crossovers, making it easier to identify key entry and exit points. 🔵 CONCLUSION The Inverse Fisher Oscillator combines the power of the Inverse Fisher Transform and the Butterworth filter to provide a sophisticated approach to trend and reversal detection. By leveraging volatility-based analysis and visually intuitive signals, this indicator helps traders spot potential entry and exit points with greater clarity. The customizable dashboard display adds further value, offering a real-time summary of market conditions to enhance decision-making. Use this tool in conjunction with other technical analysis methods to develop a well-rounded trading strategy.
Indicatore Pine Script®
di BigBeluga
5
Advanced Keltner Channel/Oscillator [MyTradingCoder]This indicator combines a traditional Keltner Channel overlay with an oscillator, providing a comprehensive view of price action, trend, and momentum. The core of this indicator is its advanced ATR calculation, which uses statistical methods to provide a more robust measure of volatility. Starting with the overlay component, the center line is created using a biquad low-pass filter applied to the chosen price source. This provides a smoother representation of price than a simple moving average. The upper and lower channel lines are then calculated using the statistically derived ATR, with an additional set of mid-lines between the center and outer lines. This creates a more nuanced view of price action within the channel. The color coding of the center line provides an immediate visual cue of the current price momentum. As the price moves up relative to the ATR, the line shifts towards the bullish color, and vice versa for downward moves. This color gradient allows for quick assessment of the current market sentiment. The oscillator component transforms the channel into a different perspective. It takes the price's position within the channel and maps it to either a normalized -100 to +100 scale or displays it in price units, depending on your settings. This oscillator essentially shows where the current price is in relation to the channel boundaries. The oscillator includes two key lines: the main oscillator line and a signal line. The main line represents the current position within the channel, smoothed by an exponential moving average (EMA). The signal line is a further smoothed version of the oscillator line. The interaction between these two lines can provide trading signals, similar to how MACD is often used. When the oscillator line crosses above the signal line, it might indicate bullish momentum, especially if this occurs in the lower half of the oscillator range. Conversely, the oscillator line crossing below the signal line could signal bearish momentum, particularly if it happens in the upper half of the range. The oscillator's position relative to its own range is also informative. Values near the top of the range (close to 100 if normalized) suggest that price is near the upper Keltner Channel band, indicating potential overbought conditions. Values near the bottom of the range (close to -100 if normalized) suggest proximity to the lower band, potentially indicating oversold conditions. One of the strengths of this indicator is how the overlay and oscillator work together. For example, if the price is touching the upper band on the overlay, you'd see the oscillator at or near its maximum value. This confluence of signals can provide stronger evidence of overbought conditions. Similarly, the oscillator hitting extremes can draw your attention to price action at the channel boundaries on the overlay. The mid-lines on both the overlay and oscillator provide additional nuance. On the overlay, price action between the mid-line and outer line might suggest strong but not extreme momentum. On the oscillator, this would correspond to readings in the outer quartiles of the range. The customizable visual settings allow you to adjust the indicator to your preferences. The glow effects and color coding can make it easier to quickly interpret the current market conditions at a glance. Overlay Component: The overlay displays Keltner Channel bands dynamically adapting to market conditions, providing clear visual cues for potential trend reversals, breakouts, and overbought/oversold zones. The center line is a biquad low-pass filter applied to the chosen price source. Upper and lower channel lines are calculated using a statistically derived ATR. Includes mid-lines between the center and outer channel lines. Color-coded based on price movement relative to the ATR. Oscillator Component: The oscillator component complements the overlay, highlighting momentum and potential turning points. Normalized values make it easy to compare across different assets and timeframes. Signal line crossovers generate potential buy/sell signals. Advanced ATR Calculation: Uses a unique method to compute ATR, incorporating concepts like root mean square (RMS) and z-score clamping. Provides both an average and mode-based ATR value. Customizable Visual Settings: Adjustable colors for bullish and bearish moves, oscillator lines, and channel components. Options for line width, transparency, and glow effects. Ability to display overlay, oscillator, or both simultaneously. Flexible Parameters: Customizable inputs for channel width multiplier, ATR period, smoothing factors, and oscillator settings. Adjustable Q factor for the biquad filter. Key Advantages: Advanced ATR Calculation: Utilizes a statistical method to generate ATR, ensuring greater responsiveness and accuracy in volatile markets. Overlay and Oscillator: Provides a comprehensive view of price action, combining trend and momentum analysis. Customizable: Adjust settings to fine-tune the indicator to your specific needs and trading style. Visually Appealing: Clear and concise design for easy interpretation. The ATR (Average True Range) in this indicator is derived using a sophisticated statistical method that differs from the traditional ATR calculation. It begins by calculating the True Range (TR) as the difference between the high and low of each bar. Instead of a simple moving average, it computes the Root Mean Square (RMS) of the TR over the specified period, giving more weight to larger price movements. The indicator then calculates a Z-score by dividing the TR by the RMS, which standardizes the TR relative to recent volatility. This Z-score is clamped to a maximum value (10 in this case) to prevent extreme outliers from skewing the results, and then rounded to a specified number of decimal places (2 in this script). These rounded Z-scores are collected in an array, keeping track of how many times each value occurs. From this array, two key values are derived: the mode, which is the most frequently occurring Z-score, and the average, which is the weighted average of all Z-scores. These values are then scaled back to price units by multiplying by the RMS. Now, let's examine how these values are used in the indicator. For the Keltner Channel lines, the mid lines (top and bottom) use the mode of the ATR, representing the most common volatility state. The max lines (top and bottom) use the average of the ATR, incorporating all volatility states, including less common but larger moves. By using the mode for the mid lines and the average for the max lines, the indicator provides a nuanced view of volatility. The mid lines represent the "typical" market state, while the max lines account for less frequent but significant price movements. For the color coding of the center line, the mode of the ATR is used to normalize the price movement. The script calculates the difference between the current price and the price 'degree' bars ago (default is 2), and then divides this difference by the mode of the ATR. The resulting value is passed through an arctangent function and scaled to a 0-1 range. This scaled value is used to create a color gradient between the bearish and bullish colors. Using the mode of the ATR for this color coding ensures that the color changes are based on the most typical volatility state of the market. This means that the color will change more quickly in low volatility environments and more slowly in high volatility environments, providing a consistent visual representation of price momentum relative to current market conditions. Using a good IIR (Infinite Impulse Response) low-pass filter, such as the biquad filter implemented in this indicator, offers significant advantages over simpler moving averages like the EMA (Exponential Moving Average) or other basic moving averages. At its core, an EMA is indeed a simple, single-pole IIR filter, but it has limitations in terms of its frequency response and phase delay characteristics. The biquad filter, on the other hand, is a two-pole, two-zero filter that provides superior control over the frequency response curve. This allows for a much sharper cutoff between the passband and stopband, meaning it can more effectively separate the signal (in this case, the underlying price trend) from the noise (short-term price fluctuations). The improved frequency response of a well-designed biquad filter means it can achieve a better balance between smoothness and responsiveness. While an EMA might need a longer period to sufficiently smooth out price noise, potentially leading to more lag, a biquad filter can achieve similar or better smoothing with less lag. This is crucial in financial markets where timely information is vital for making trading decisions. Moreover, the biquad filter allows for independent control of the cutoff frequency and the Q factor. The Q factor, in particular, is a powerful parameter that affects the filter's resonance at the cutoff frequency. By adjusting the Q factor, users can fine-tune the filter's behavior to suit different market conditions or trading styles. This level of control is simply not available with basic moving averages. Another advantage of the biquad filter is its superior phase response. In the context of financial data, this translates to more consistent lag across different frequency components of the price action. This can lead to more reliable signals, especially when it comes to identifying trend changes or price reversals. The computational efficiency of biquad filters is also worth noting. Despite their more complex mathematical foundation, biquad filters can be implemented very efficiently, often requiring only a few operations per sample. This makes them suitable for real-time applications and high-frequency trading scenarios. Furthermore, the use of a more sophisticated filter like the biquad can help in reducing false signals. The improved noise rejection capabilities mean that minor price fluctuations are less likely to cause unnecessary crossovers or indicator movements, potentially leading to fewer false breakouts or reversal signals. In the specific context of a Keltner Channel, using a biquad filter for the center line can provide a more stable and reliable basis for the entire indicator. It can help in better defining the overall trend, which is crucial since the Keltner Channel is often used for trend-following strategies. The smoother, yet more responsive center line can lead to more accurate channel boundaries, potentially improving the reliability of overbought/oversold signals and breakout indications. In conclusion, this advanced Keltner Channel indicator represents a significant evolution in technical analysis tools, combining the power of traditional Keltner Channels with modern statistical methods and signal processing techniques. By integrating a sophisticated ATR calculation, a biquad low-pass filter, and a complementary oscillator component, this indicator offers traders a comprehensive and nuanced view of market dynamics. The indicator's strength lies in its ability to adapt to varying market conditions, providing clear visual cues for trend identification, momentum assessment, and potential reversal points. The use of statistically derived ATR values for channel construction and the implementation of a biquad filter for the center line result in a more responsive and accurate representation of price action compared to traditional methods. Furthermore, the dual nature of this indicator – functioning as both an overlay and an oscillator – allows traders to simultaneously analyze price trends and momentum from different perspectives. This multifaceted approach can lead to more informed decision-making and potentially more reliable trading signals. The high degree of customization available in the indicator's settings enables traders to fine-tune its performance to suit their specific trading styles and market preferences. From adjustable visual elements to flexible parameter inputs, users can optimize the indicator for various trading scenarios and time frames. Ultimately, while no indicator can predict market movements with certainty, this advanced Keltner Channel provides traders with a powerful tool for market analysis. By offering a more sophisticated approach to measuring volatility, trend, and momentum, it equips traders with valuable insights to navigate the complex world of financial markets. As with any trading tool, it should be used in conjunction with other forms of analysis and within a well-defined risk management framework to maximize its potential benefits.
Indicatore Pine Script®
di MyTradingCoder
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Indicatore Pine Script®
di WeloTrades
4
Rate of Change RSIIndicator Name: Rate of Change RSI Description: The Rate of Change (ROC) of the Relative Strength Index (RSI) is a technical indicator designed to provide insights into the momentum of an asset's price movement. It combines the Relative Strength Index (RSI), a popular momentum oscillator, with the Rate of Change (ROC) concept to assess the speed at which RSI values are changing. How It Works: Relative Strength Index (RSI): The RSI measures the magnitude of recent price changes to evaluate overbought or oversold conditions in an asset. It oscillates between 0 and 100, with readings above 70 typically indicating overbought conditions and readings below 30 indicating oversold conditions. Rate of Change (ROC): The ROC calculates the percentage change in a given indicator over a specified period. In this indicator, we apply the ROC to the RSI values to determine how quickly the RSI is changing over time. Key Features: Acceleration and Deceleration: The ROC of RSI helps traders identify whether the momentum of the RSI is accelerating or decelerating. Positive values suggest increasing momentum, while negative values indicate decreasing momentum. Dynamic Color Change: The color of the ROC RSI line changes dynamically based on the RSI level. When the RSI is between 0 and 40, the line color is blue, indicating potential oversold conditions. When the RSI is between 40 and 60, the line color is yellow, suggesting neutral conditions. When the RSI is above 60, the line color changes to green, indicating potential overbought conditions. How to Use: Acceleration: When the ROC RSI is positive and increasing while the RSI is above 60 (green), it may signal strong upward momentum. Deceleration: Conversely, if the ROC RSI is negative and decreasing while the RSI is below 40 (blue), it may indicate weakening downward momentum. Originality and Usefulness: This indicator combines the RSI, a well-known momentum oscillator, with the ROC concept to provide a unique perspective on momentum dynamics. By dynamically adjusting the color of the ROC RSI line based on RSI levels, traders can quickly assess potential overbought or oversold conditions in the market. Chart: The chart displayed alongside this script provides a clean and easy-to-understand visualization of the ROC RSI indicator. The ROC RSI line color changes dynamically based on RSI levels, allowing traders to visually identify potential market conditions at a glance.
Indicatore Pine Script®
di Tradernawab
PresentTrend RMI Synergy - Strategy [presentTrading] █ Introduction and How it is Different The "PresentTrend RMI Synergy Strategy" is the combined power of the Relative Momentum Index (RMI) and a custom presentTrend indicator. This strategy introduces a multifaceted approach, integrating momentum analysis with trend direction to offer traders a more nuanced and responsive trading mechanism. BTCUSD 6h L/S Performance Local █ Strategy, How It Works: Detailed Explanation The "PresentTrend RMI Synergy Strategy" intricately combines the Relative Momentum Index (RMI) and a custom SuperTrend indicator to create a powerful tool for traders. 🔶 Relative Momentum Index (RMI) The RMI is a variation of the Relative Strength Index (RSI), but instead of using price closes against itself, it measures the momentum of up and down movements in price relative to previous prices over a given period. The RMI for a period length `N` is calculated as follows: RMI = 100 - 100/ (1 + U/D) where: - `U` is the average upward price change over `N` periods, - `D` is the average downward price change over `N` periods. The RMI oscillates between 0 and 100, with higher values indicating stronger upward momentum and lower values suggesting stronger downward momentum. RMI = 21 RMI = 42 For more information - RMI Trend Sync - Strategy : 🔶 presentTrend Indicator The presentTrend indicator combines the Average True Range (ATR) with a moving average to determine trend direction and dynamic support or resistance levels. The presentTrend for a period length `M` and a multiplier `F` is defined as: - Upper Band: MA + (ATR x F) - Lower Band: MA - (ATR x F) where: - `MA` is the moving average of the close price over `M` periods, - `ATR` is the Average True Range over the same period, - `F` is the multiplier to adjust the sensitivity. The trend direction switches when the price crosses the presentTrend bands, signaling potential entry or exit points. presentTrend length = 3 presentTrend length = 10 For more information - PresentTrend - Strategy : 🔶 Strategy Logic Entry Conditions: - Long Entry: Triggered when the RMI exceeds a threshold, say 60, indicating a strong bullish momentum, and when the price is above the presentTrend, confirming an uptrend. - Short Entry: Occurs when the RMI drops below a threshold, say 40, showing strong bearish momentum, and the price is below the present trend, indicating a downtrend. Exit Conditions with Dynamic Trailing Stop: - Long Exit: Initiated when the price crosses below the lower presentTrend band or when the RMI falls back towards a neutral level, suggesting a weakening of the bullish momentum. - Short Exit: Executed when the price crosses above the upper presentTrend band or when the RMI rises towards a neutral level, indicating a reduction in bearish momentum. Equations for Dynamic Trailing Stop: - For Long Positions: The exit price is set at the lower SuperTrend band once the entry condition is met. - For Short Positions: The exit price is determined by the upper SuperTrend band post-entry. These dynamic trailing stops adjust as the market moves, providing a method to lock in profits while allowing room for the position to grow. This strategy's strength lies in its dual analysis approach, leveraging RMI for momentum insights and presentTrend for trend direction and dynamic stops. This combination offers traders a robust framework to navigate various market conditions, aiming to capture trends early and exit positions strategically to maximize gains and minimize losses. █ Trade Direction The strategy provides flexibility in trade direction selection, offering "Long," "Short," or "Both" options to cater to different market conditions and trader preferences. This adaptability ensures that traders can align the strategy with their market outlook, risk tolerance, and trading goals. █ Usage To utilize the "PresentTrend RMI Synergy Strategy," traders should input their preferred settings in the Pine Script™ and apply the strategy to their charts. Monitoring RMI for momentum shifts and adjusting positions based on SuperTrend signals can optimize entry and exit points, enhancing potential returns while managing risk. █ Default Settings 1. RMI Length: 21 The 21-period RMI length strikes a balance between capturing momentum and filtering out market noise, offering a medium-term outlook on market trends. 2. Super Trend Length: 7 A SuperTrend length of 7 periods is chosen for its responsiveness to price movements, providing a dynamic framework for trend identification without excessive sensitivity. 3. Super Trend Multiplier: 4.0 The multiplier of 4.0 for the SuperTrend indicator widens the trend bands, focusing on significant market moves and reducing the impact of minor fluctuations. --- The "PresentTrend RMI Synergy Strategy" represents a significant step forward in trading strategy development, blending momentum and trend analysis in a unique way. By providing a detailed framework for understanding market dynamics, this strategy empowers traders to make more informed decisions.
Strategia Pine Script®
di PresentTrading
Relative Strength Scatter Plot [LuxAlgo]The Relative Strength Scatter Plot indicator is a tool that shows the historical performance of various user-selected securities against a selected benchmark. This tool is inspired by Relative Rotation Graphs®. Relative Rotation Graphs® is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them. 🔶 USAGE This tool depicts a simple scatter plot using the relative strength ratio as the X-axis and its momentum as the Y-axis of the user-selected symbols against the selected benchmark. The graph is divided into four quadrants, and the interpretation of the graph is done depending on where a point is situated on the graph: A point in the green quadrant would indicate that the security is leading the benchmark in strength, with positive strength momentum. A point in the yellow quadrant would indicate that the security is leading the benchmark in strength, with negative strength momentum. A point in the blue quadrant would indicate that the security is lagging behind the benchmark in strength, with positive strength momentum. A point in the red quadrant would indicate that the security is lagging behind the benchmark in strength, with negative strength momentum. The trail of each symbol allows the user to see the evolution of the relative strength momentum relative to the relative strength ratio. The length of the trail can be controlled by the "Trail Length" setting. 🔶 DETAILS Our relative strength ratio estimate is first obtained from the relative strength between the symbol of interest and the benchmark, the result is then smoothed using a linearly weighted moving average (wma). This result is then normalized with a wma of the smoothed relative strength, this ratio is again smoothed with the wma and multiplied by 100. The relative strength momentum estimate is obtained from the ratio between the previously estimated RS-Ratio and its wma, this ratio is then multiplied by 100. 🔶 SETTINGS Calculation Window: Calculation window of the RS-Ratio and RS-Momentum metrics. Symbols: Symbols used for the computation of the graph, each settings line allows us to determine whether the symbol is to be displayed on the graph as well as its color. Benchmark: Benchmark symbol used for the computation of the graph. Indices are commonly used as a benchmark. 🔹 Graph Settings Trail Length: Number of past data points to display on the graph for each symbol. Resolution: Controls the horizontal length of the graph.
Indicatore Pine Script®
di LuxAlgo
11
Trend Flow Profile [AlgoAlpha]Description: The "Trend Flow Profile" indicator is a powerful tool designed to analyze and interpret the underlying trends and reversals in a financial market. It combines the concepts of Order Flow and Rate of Change (ROC) to provide valuable insights into market dynamics, momentum, and potential trade opportunities. By integrating these two components, the indicator offers a comprehensive view of market sentiment and price movements, facilitating informed trading decisions. Rationale: The combination of Order Flow and ROC in the "Trend Flow Profile" indicator stems from the recognition that both factors play critical roles in understanding market behavior. Order Flow represents the net buying or selling pressure in the market, while ROC measures the rate at which prices change. By merging these elements, the indicator captures the interplay between market participants' actions and the momentum of price movements, enabling traders to identify trends, spot reversals, and gauge the strength of price acceleration or deceleration. Calculation: The Order Flow component is computed by summing the volume when prices move up and subtracting the volume when prices move down. This cumulative measure reflects the overall order imbalance in the market, providing insights into the dominant buying or selling pressure. The ROC component calculates the percentage change in price over a given period. It compares the current price to a previous price and expresses the change as a percentage. This measurement indicates the velocity and direction of price movement, allowing traders to assess the market's momentum. How to Use It? The "Trend Flow Profile" indicator offers valuable information to traders for making informed trading decisions. It enables the identification of underlying trends and potential reversals, providing a comprehensive view of market sentiment and momentum. Here are some key ways to utilize the indicator: Spotting Trends: The indicator helps identify the prevailing market trend, whether bullish or bearish. A consistent positive (green) histogram indicates a strong uptrend, while a consistent negative (red) histogram suggests a robust downtrend. Reversal Signals: Reversal patterns can be identified when the histogram changes color, transitioning from positive to negative (or vice versa). These reversals can signify potential turning points in the market, highlighting opportunities for counter-trend trades. Momentum Assessment: By observing the width and intensity of the histogram, traders can assess the acceleration or deceleration of price momentum. A wider histogram suggests strong momentum, while a narrower histogram indicates a potential slowdown. Utility: The "Trend Flow Profile" indicator serves as a valuable tool for traders, providing several benefits. Traders can easily identify the prevailing market trend, enabling them to align their trading strategies with the dominant direction of the market. The indicator also helps spot potential reversals, allowing traders to anticipate market turning points and capture counter-trend opportunities. Additionally, the green and red histogram colors provide visual cues to determine the optimal duration of a long or short position. Following the green histogram signals when in a long position and the red histogram signals when in a short position can assist traders in managing their trades effectively. Moreover, the width and intensity of the histogram offer insights into the acceleration or deceleration of momentum. Traders can gauge the strength of price movements and adjust their trading strategies accordingly. By leveraging the "Trend Flow Profile" indicator, traders gain a comprehensive understanding of market dynamics, which enhances their decision-making and improves their overall trading outcomes.
Indicatore Pine Script®
di AlgoAlpha
Fear & Greed Index (Zeiierman)█ Overview The Fear & Greed Index is an indicator that provides a comprehensive view of market sentiment. By analyzing various market factors such as market momentum, stock price strength, stock price breadth, put and call options, junk bond demand, market volatility, and safe haven demand, the Index can depict the overall emotions driving market behavior, categorizing them into two main sentiments: Fear and Greed. Fear: Indicates a market scenario where investors are scared, possibly leading to a sell-off or a stagnant market. In such conditions, the indicator helps in identifying potential buying opportunities as assets may be undervalued. Greed: Represents a state where investors are overly confident and buying aggressively, which can lead to inflated asset prices. The indicator in such cases can signal overbought conditions, advising caution or potential short opportunities. █ How It Works The Fear & Greed Index is an aggregate of seven distinct indicators, each gauging a specific dimension of stock market activity. These indicators include market momentum, stock price strength, stock price breadth, put and call options, junk bond demand, market volatility, and safe haven demand. The Index assesses the deviation of each individual indicator from its average, in relation to its typical fluctuations. In compiling the final score, which ranges from 0 to 100, the Index assigns equal weight to each indicator. A score of 100 denotes the highest level of Greed, while a score of 0 represents the utmost level of fear. S&P 500's Momentum: The Index monitors the S&P 500's position relative to its 125-day moving average. Positive momentum (price above the average) signals growing confidence among investors (Greed), while negative momentum (price below the average) indicates rising fear. Stock Price Strength: By comparing the number of stocks hitting 52-week highs to those at 52-week lows on the NYSE, the Index gauges market breadth. An extreme number of highs indicates Greed, whereas an extreme number of lows suggests Fear. Stock Price Breadth (Market Volume): Using the McClellan Volume Summation Index, which considers the volume of advancing versus declining stocks, the Index assesses whether the market is broadly participating in a trend, or if a smaller subset of stocks is driving it. Put and Call Options: The put/call ratio helps gauge investor sentiment. A rising ratio, particularly above 1, indicates increasing fear, as more investors are buying puts to protect against a decline. A falling ratio suggests growing confidence. Market Volatility (VIX): The VIX measures expected market volatility. Higher values generally indicate Fear, while lower values point to Greed. The Fear & Greed Index compares the VIX to its 50-day moving average to understand its trend. Safe Haven Demand: The performance of stocks versus bonds over a 20-day period helps understand where investors are putting their money. Bonds outperforming stocks is a sign of Fear, while the opposite suggests Greed. Junk Bond Demand: By comparing the yields on junk bonds to safer investment-grade bonds, the Index gauges risk appetite. A narrower yield spread suggests Greed (investors are taking more risk), while a wider spread indicates Fear. The Fear & Greed Index combines these components, scales, and averages them to produce a single value between 0 (Extreme Fear) and 100 (Extreme Greed). █ How to Use The Fear & Greed Index serves as a tool to evaluate the prevailing sentiments in the market. Investors, often driven by emotions, can react impulsively, and sentiment indicators like the Fear & Greed Index aim to highlight these emotional states, helping investors recognize personal biases that might impact their investment choices. When integrated with fundamental analysis and additional analytical instruments, the Index becomes a valuable resource for understanding and interpreting market moods and tendencies. The Fear & Greed Index operates on the principle that excessive fear can result in stocks trading well below their intrinsic values, while uncontrolled Greed can push prices above what they should be. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indicatore Pine Script®
di Zeiierman
16