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Stoch RSI & RSI Buy/Sell Signals with MACD Trend FilterThis indicator combines multiple technical analysis tools and conditions to generate precise buy and sell signals. It utilizes the Stochastic RSI and RSI for overbought/oversold signals, a MACD trend filter, and candle color confirmation to avoid false signals. Key conditions include: Buy Signal: Conditions Met on Previous Candle: Stochastic RSI (%K) is below the user-defined oversold level. RSI is either below the neutral level or within the oversold range. MACD line is in a bearish trend, confirmed by three consecutive downward bars. Current Candle Requirement: Closes in green to confirm a buy. Sell Signal: Conditions Met on Previous Candle: Stochastic RSI (%K) is above the user-defined overbought level. RSI is either above the neutral level or within the overbought range. MACD line is in a bullish trend, confirmed by three consecutive upward bars. Current Candle Requirement: Closes in red to confirm a sell. This indicator also includes custom color settings based on RSI levels and can be toggled to display buy/sell signals visually on the chart. ------- DONATIONS: USDT: 0x678d7ca85574f35c4ad7c673c92cd3f4795f98d9 (ERC20)
Pine Script™ indicator
by turha71
TechniTrend: Volume and Momentum Analysis (Weighted)Description: The TechniTrend: Volume and Momentum Analysis indicator combines volume analysis with multiple momentum indicators to provide a holistic view of market conditions. By integrating Weighted Relative Strength Index (RSI), Rate of Change (ROC), and Stochastic Oscillator (%K and %D), this indicator offers a comprehensive, blended signal that responds to both price momentum and volume trends. Ideal for identifying potential reversal zones, overbought/oversold conditions, and divergence patterns. Features: Volume and Momentum Analysis: The core of this indicator is a "Combined Analysis Line" that integrates various momentum indicators, each weighted according to user-defined preferences. This line allows for dynamic responsiveness based on selected weightings for RSI, ROC, and Stochastic, making it highly customizable. High Volume Area Highlight: Periods of high trading volume (above the threshold defined by Volume Threshold Factor) are highlighted on the chart's background. This feature aids in identifying volume-driven price actions, especially when combined with overbought/oversold signals from the Combined Analysis Line. Divergence Detection System: Regular bullish and bearish divergence patterns are automatically detected and marked on the chart. The indicator uses a pivot-based approach with user-adjustable lookback periods to identify divergence patterns, helping traders spot potential reversal points. Overbought/Oversold Zones: The indicator displays overbought and oversold zones with gradient fills based on user-defined thresholds, enhancing visibility and helping to gauge market momentum. Alert System: Built-in alerts notify the trader when a regular bullish or bearish divergence is detected. This feature is especially useful for monitoring the market passively and receiving timely alerts for potential trend changes. Settings: Volume MA Length: Defines the length of the moving average used to smooth out volume data. Momentum Length: Length for calculating the momentum indicators (e.g., RSI). Volume Threshold Factor: Multiplier for determining high-volume levels, setting the bar for significant volume. Weight Parameters: Assign weight percentages to each momentum indicator for precise calibration of the Combined Analysis Line. Overbought/Oversold Thresholds: Adjusts the levels at which overbought and oversold conditions are displayed, providing custom sensitivity to market extremes. Divergence Settings: Adjustable lookback periods for detecting divergence patterns, along with upper and lower ranges, which fine-tune the search for divergence points. This indicator is highly configurable and offers a nuanced view of market conditions by combining volume and momentum signals. Designed to assist in identifying potential entry and exit points, the TechniTrend: Volume and Momentum Analysis is a powerful tool for both short-term and long-term traders.
Pine Script™ indicator
by itsKraken
XAUUSD 10-Minute StrategyThis XAUUSD 10-Minute Strategy is designed for trading Gold vs. USD on a 10-minute timeframe. By combining multiple technical indicators (MACD, RSI, Bollinger Bands, and ATR), the strategy effectively captures both trend-following and reversal opportunities, with adaptive risk management for varying market volatility. This approach balances high-probability entries with robust volatility management, making it suitable for traders seeking to optimise entries during significant price movements and reversals. Key Components and Logic: MACD (12, 26, 9): Generates buy signals on MACD Line crossovers above the Signal Line and sell signals on crossovers below the Signal Line, helping to capture momentum shifts. RSI (14): Utilizes oversold (below 35) and overbought (above 65) levels as a secondary filter to validate entries and avoid overextended price zones. Bollinger Bands (20, 2): Uses upper and lower Bollinger Bands to identify potential overbought and oversold conditions, aiming to enter long trades near the lower band and short trades near the upper band. ATR-Based Stop Loss and Take Profit: Stop Loss and Take Profit levels are dynamically set as multiples of ATR (3x for stop loss, 5x for take profit), ensuring flexibility with market volatility to optimise exit points. Entry & Exit Conditions: Buy Entry: T riggered when any of the following conditions are met: MACD Line crosses above the Signal Line RSI is oversold Price drops below the lower Bollinger Band Sell Entry: Triggered when any of the following conditions are met: MACD Line crosses below the Signal Line RSI is overbought Price moves above the upper Bollinger Band Exit Strategy: Trades are closed based on opposing entry signals, with adaptive spread adjustments for realistic exit points. Backtesting Configuration & Results: Backtesting Period: July 21, 2024, to October 30, 2024 Symbol Info: XAUUSD, 10-minute timeframe, OANDA data source Backtesting Capital: Initial capital of $700, with each trade set to 10 contracts (equivalent to approximately 0.1 lots based on the broker’s contract size for gold). Users should confirm their broker's contract size for gold, as this may differ. This script uses 10 contracts for backtesting purposes, aligned with 0.1 lots on brokers offering a 100-contract specification. Key Backtesting Performance Metrics: Net Profit: $4,733.90 USD (676.27% increase) Total Closed Trades: 526 Win Rate: 53.99% Profit Factor: 1.44 (1.96 for Long trades, 1.14 for Short trades) Max Drawdown: $819.75 USD (56.33% of equity) Sharpe Ratio: 1.726 Average Trade: $9.00 USD (0.04% of equity per trade) This backtest reflects realistic conditions, with a spread adjustment of 38 points and no slippage or commission applied. The settings aim to simulate typical retail trading conditions. However, please adjust the initial capital, contract size, and other settings based on your account specifics for best results. Usage: This strategy is tuned specifically for XAUUSD on a 10-minute timeframe, ideal for both trend-following and reversal trades. The ATR-based stop loss and take profit levels adapt dynamically to market volatility, optimising entries and exits in varied conditions. To backtest this script accurately, ensure your broker’s contract specifications for gold align with the parameters used in this strategy.
Pine Script™ strategy
by smuk90
Z-Score RSI StrategyOverview The Z-Score RSI Indicator is an experimental take on momentum analysis. By applying the Relative Strength Index (RSI) to a Z-score of price data, it measures how far prices deviate from their mean, scaled by standard deviation. This isn’t your traditional use of RSI, which is typically based on price data alone. Nevertheless, this unconventional approach can yield unique insights into market trends and potential reversals. Theory and Interpretation The RSI calculates the balance between average gains and losses over a set period, outputting values from 0 to 100. Typically, people look at the overbought or oversold levels to identify momentum extremes that might be likely to lead to a reversal. However, I’ve often found that RSI can be effective for trend-following when observing the crossover of its moving average with the midline or the crossover of the RSI with its own moving average. These crossovers can provide useful trend signals in various market conditions. By combining RSI with a Z-score of price, this indicator estimates the relative strength of the price’s distance from its mean. Positive Z-score trends may signal a potential for higher-than-average prices in the near future (scaled by the standard deviation), while negative trends suggest the opposite. Essentially, when the Z-Score RSI indicates a trend, it reflects that the Z-score (the distance between the average and current price) is likely to continue moving in the trend’s direction. Generally, this signals a potential price movement, though it’s important to note that this could also occur if there’s a shift in the mean or standard deviation, rather than a meaningful change in price itself. While the Z-Score RSI could be an insightful addition to a comprehensive trading system, it should be interpreted carefully. Mean shifts may validate the indicator’s predictions without necessarily indicating any notable price change, meaning it’s best used in tandem with other indicators or strategies. Recommendations Before putting this indicator to use, conduct thorough backtesting and avoid overfitting. The added parameters allow fine-tuning to fit various assets, but be careful not to optimize purely for the highest historical returns. Doing so may create an overly tailored strategy that performs well in backtests but fails in live markets. Keep it balanced and look for robust performance across multiple scenarios, as overfitting is likely to lead to disappointing real-world results.
Pine Script™ strategy
by nathanfarmer
Hodrick-Prescott Filter Cycle Component (YavuzAkbay)By distinguishing between trend and cyclical components, the HP Filter Cycle Component is an indicator that analyses price movements using a condensed form of the Hodrick-Prescott (HP) filter. In order to smooth out the trend from the price data and display the resulting cycle in a separate window, this script uses an approximate HP filter. Trend Extraction: Using a programmable smoothness parameter (λ), the HP filter eliminates long-term patterns from the price series. Short-term swings are separated from the underlying price trend using this filter. Cycle Component: The price-trend cyclical component shows possible cyclical highs and lows by capturing the price deviation around the smoothed trend line. Important Notes: The choice of lambda is essential. Recommended lambda levels are 100, 1600 and 14,400. This indicator will be much more useful if it is used together with another indicator of mine, HP Filter Cycle Component. Trading is risky, and most traders lose money. The indicators Yavuz Akbay offers are for informational and educational purposes only. All content should be considered hypothetical, selected after the facts to demonstrate my product, and not constructed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. This indicator is experimental and will always remain experimental. The indicator will be updated by Yavuz Akbay according to market conditions.
Pine Script™ indicator
by YavuzAkbay
震荡过滤器 [Oscillator Filter]指标解析 - 中英文对照 这个指标名为“震荡过滤器”，它是一个技术分析工具，用于识别市场的超买和超卖状态，并通过金叉和死叉信号提供交易提示。 This indicator is called "Oscillator Filter," a technical analysis tool used to identify overbought and oversold conditions in the market and provide trading signals through golden and death crosses. 输入参数 Input Parameters n1: 通道长度，用于计算指数移动平均线（EMA）和绝对差值的EMA。 n1: Channel length, used to calculate the Exponential Moving Average (EMA) and the EMA of the absolute difference. n2: 平均长度，用于计算最终的平滑值。 n2: Average length, used to calculate the final smoothed value. obLevel1 和 obLevel2: 超买水平，分别为80和53。 obLevel1 and obLevel2: Overbought levels, set at 80 and 53 respectively. osLevel1 和 osLevel2: 超卖水平，分别为-80和-53。 osLevel1 and osLevel2: Oversold levels, set at -80 and -53 respectively. useCurrentRes: 是否使用当前图表的时间分辨率。 useCurrentRes: Whether to use the current chart's time resolution. resCustom: 如果不使用当前时间分辨率，可以选择一个自定义的时间框架。 resCustom: If not using the current time resolution, a custom timeframe can be selected. 计算过程 Calculation Process ap: 使用高低收价格的平均值（hlc3）。 ap: Uses the average of high, low, and close prices (hlc3). esa: 计算ap的EMA，周期为n1。 esa: Calculates the EMA of ap, with a period of n1. d: 计算ap与esa之间差值的绝对值的EMA，周期为n1。 d: Calculates the EMA of the absolute difference between ap and esa, with a period of n1. ci: 计算震荡值，公式为(ap - esa) / (0.015 * d)。 ci: Calculates the oscillator value, formula is (ap - esa) / (0.015 * d). tci: 对ci进行EMA平滑，周期为n2。 tci: Applies EMA smoothing to ci, with a period of n2. 时间框架选择 Timeframe Selection 使用request.security函数根据选择的时间框架计算wt1和wt2。 Uses the request.security function to calculate wt1 and wt2 based on the selected timeframe. 绘图 Plotting 绘制零线和超买/超卖水平线。 Plots the zero line and overbought/oversold level lines. wt1和wt2分别表示震荡指标的两个线。 wt1 and wt2 represent the two lines of the oscillator indicator. wt2的颜色根据其值在-30到30之间进行渐变。 The color of wt2 is gradient based on its value between -30 and 30. 当wt1和wt2交叉时，绘制圆点，并根据交叉方向着色蜡烛。 Draws circles when wt1 and wt2 cross, and colors the candles based on the direction of the cross. 警报条件 Alert Conditions goldenCross: 当wt1向上穿过wt2时，触发金叉信号。 goldenCross: Triggers a golden cross signal when wt1 crosses above wt2. deathCross: 当wt1向下穿过wt2时，触发死叉信号。 deathCross: Triggers a death cross signal when wt1 crosses below wt2. 这个指标通过分析价格的震荡行为，帮助交易者识别潜在的买入和卖出信号。金叉通常被视为买入信号，而死叉则是卖出信号。 This indicator helps traders identify potential buy and sell signals by analyzing the oscillating behavior of prices. A golden cross is typically seen as a buy signal, while a death cross is a sell signal. WT1和WT2的计算步骤 Calculation steps of WT1 and WT2 计算中间值 Calculate Intermediate Values ap: 使用高、低、收盘价的平均值，即hlc3。 ap: Uses the average of high, low, and close prices, i.e., hlc3. esa: 计算ap的指数移动平均线（EMA），周期为n1。 esa: Calculates the Exponential Moving Average (EMA) of ap, with a period of n1. d: 计算ap与esa之间差值的绝对值的EMA，周期为n1。 d: Calculates the EMA of the absolute difference between ap and esa, with a period of n1. ci: 计算震荡值，公式为(ap - esa) / (0.015 * d)。 ci: Calculates the oscillator value, formula is (ap - esa) / (0.015 * d). 平滑震荡值 Smooth the Oscillator Value tci: 对ci进行EMA平滑，周期为n2。 tci: Applies EMA smoothing to ci, with a period of n2. 获取不同时间框架的值 Retrieve Values for Different Timeframes WT1: 使用request.security函数，根据选择的时间框架（res），获取tci的值。 WT1: Uses the request.security function to retrieve the value of tci based on the selected timeframe (res). WT2: 使用request.security函数，根据选择的时间框架（res），获取WT1的简单移动平均线（SMA），周期为4。 WT2: Uses the request.security function to retrieve the Simple Moving Average (SMA) of WT1, with a period of 4, based on the selected timeframe (res). 通过这些步骤，WT1和WT2分别表示震荡指标的两个平滑线，用于识别市场的超买和超卖状态，并提供交易信号。 Through these steps, WT1 and WT2 represent the two smoothed lines of the oscillator indicator, used to identify overbought and oversold conditions in the market and provide trading signals.
Pine Script™ indicator
by xmrssr
TW PivotThe TW Pivot indicator seeks to provide traders with a signal when there is a higher probability for a reversal in price. The backbone of the indicator lies in the fact that price tends to revert back to the mean. Regardless of timeframe or direction, price will inevitably correct when it gets too extended. The TW Pivot indicator uses a few different elements that, when all aligned, attempt to capture said reversion. Let’s talk through the elements that the indicator contains. As you can see in the image below, there are red and green histogram bars. The red histogram bars represent the steps toward a potential sell signal that could come at the end of the series. Inversely, the green histogram bars represent the steps toward a potential buy signal that could come at the end of the series. Both histograms will darken as the steps get closer to completion. There is an oscillator in the middle that flips from red to green and follows price action. As price is decreasing, the oscillator is red and as price is increasing, the oscillator is green. Note the red and green vertical ‘highlighted’ columns that occur at specific points. These represent the buy and sell signals, and they will only occur when all of the factors built into the indicator align. These signals will not occur often, and that’s by design. Finally, traders will note instances where the count completes but there is not a vertical highlight. These instances simply mean that all of the criteria that must be met for a buy or sell signal to occur were not met and a trader should still avoid trading in the bias of the count.
Pine Script™ indicator
by ThetaWarriorTrading
Profit Algo v1 - 2 (RSI/Stochastic/Price Target)Combining RSI (Relative Strength Index) and Stochastic indicators can provide a more robust strategy for setting price targets with higher probabilities. 1. Understanding the Indicators • RSI: Measures the speed and change of price movements, typically ranging between 0 and 100. Levels above 70 indicate overbought conditions, while levels below 30 indicate oversold conditions. • Stochastic Oscillator: Measures the closing price relative to a range of prices over a set period. It generally uses two lines: %K and %D. Overbought levels are above 80, and oversold levels are below 20. 2. Strategy for Using RSI and Stochastic Together • Entry Signals: • Bullish Entry: When both the RSI is below 30 (or your chosen oversold level) and the Stochastic is below 20, with both indicators showing signs of reversal (like crossing upward), it can signal a potential buying opportunity. • Bearish Entry: When both the RSI is above 70 (or your chosen overbought level) and the Stochastic is above 80, with both indicators showing signs of reversal (like crossing downward), it can signal a potential shorting opportunity. 3. Setting a Probability-Based Price Target • Price Target Determination: 1. Measure Recent Price Swings: Analyze recent high and low-price points in the market to set realistic targets. 2. Use Fibonacci Extensions: Apply Fibonacci retracement levels to previous price swings to estimate probable resistance or support levels for exits. 3. Combine RSI & Stochastic Divergence: If you notice a divergence between price action and either of the indicators (e.g., higher prices but lower RSI or Stochastic readings), it may suggest a potential reversal and help refine your target. 4. Calculating Probabilities: • Historical Analysis: Back test the combination of RSI and Stochastic signals on historical data to determine how often the setup hits the desired price target. • Probability Zones: • Define areas where both indicators align with support or resistance levels. For instance, if RSI and Stochastic give overbought signals near a known resistance level, there’s a higher probability the price may retrace from there.
Pine Script™ indicator
by Tradegeek21
Mean Reversion Entry Signal Mean Reversion Entry Signal Indicator The Mean Reversion Entry Signal indicator is a trading tool designed for traders looking to capitalize on market corrections. This script leverages mean reversion principles, utilizing price levels and the Relative Strength Index (RSI) to generate potential entry signals for both long and short positions. Key Features: 1. **Dynamic Price Levels**: - The indicator calculates critical price levels over a user-defined lookback period, including: - High (H)**: The highest price point over the lookback period. - Low (L)**: The lowest price point over the lookback period. - Midpoint (M)**: The average of the high and low. - Midpoint High (Mh)** and **Midpoint Low (Ml)**: Additional reference levels derived from M for more nuanced trading signals. 2. User-Configurable Inputs: - Lookback Period: Traders can specify the number of hours to look back for the calculations, allowing for tailored analysis that fits various trading strategies. By default the lookback is set for 24 hours, as i consider it the most adequate for day trading. - Aggression Level: This input lets users choose their trading strategy's intensity, affecting the sensitivity of entry signals based on the percentage difference from the midpoint. 3. Entry Signal Generation: The script evaluates market conditions to signal potential trades: - Long Entries: Indicated when the price is below the Ml level and the price demonstrates a significant distance from the midpoint (M), coupled with RSI being near the oversold territory. - Short Entries: Triggered when the price exceeds the Mh level, also indicating a significant distance from M, while the RSI indicates near overbought conditions. 4. Visual Indicators: Clear visual signals are plotted directly on the chart: - Long Signals are represented as upward triangles in green. - Short Signals appear as downward triangles in red. - Important price levels (M, H, L, Mh, and Ml) are displayed to provide traders with immediate context for potential trades. 5. No Entry Zone: The area between Mh and Ml is shaded to indicate a "No Entry Zone," helping traders identify regions where conditions may not be favorable for taking new positions. This can also be used as potencial profit taking area. Conclusion 1. This indicator was built mainly for day trading, using timeframes between 1 minute and 1 hour. If you want to use it in 1D time frame, for instance, you should adjust the lookback period to 120 hours or so. 2. To use this as a strategy, you should not be afraid to "add to your losers" as the trade goes against you and the signals continue to appear. Enjoy
Pine Script™ indicator
by AmGlad_Trader
COT Trendfilter + SignalsCOT Trendfilter + Signals Indicator Data Processing and Usage: The COT indicator processes Commitments of Traders (COT) data provided by the CFTC. Users can select from various participant groups, including Commercials, Large Speculators, and Small Speculators. However, it is important to note that the signal logic of the indicator is exclusively applicable to the net positions of Commercials. This is because Commercials tend to trade contrarily, meaning their trading decisions often run against the prevailing market trend. Functionality of the Indicators 1. Cycle COT The cCOT is an enhanced version of the classic RSI. It incorporates additional smoothing based on market vibrations, along with adaptive upper and lower bands based on cyclical memory. The cCOT uses the current dominant cycle length as input and highlights trading signals when the signal line crosses above or below the adaptive bands. Compared to the standard RSI, the cCOT responds more quickly to market movements. For detailed information on the cCOT, please refer to Chapter 4 "Fine tuning technical indicators" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen. 2. Adaptive Ultra-Smooth Momentum Indicator The Adaptive Ultra-Smooth Momentum Indicator (CSI) provides an optimized momentum oscillator based on the current dominant cycle. It addresses three common issues with standard indicators: excessive false signals, signal delay, and the need for length adjustments. The CSI offers adaptive smoothing, zero delay, and accurate detection of turning points. For further information about the CSI, please refer to Chapter 10 "Cycle Swing Indicator: Trading the swing of the dominant cycle" in the book "Decoding the Hidden Market Rhythm, Part 1" by Lars von Thienen. Signals and Validation The indicator generates various trading signals: cCOT: A buy signal is indicated by an airplane emoji (🛫), while a sell signal is marked by another airplane emoji (🛬). COT Momentum: A buy signal is shown by the symbol “∿” in green, while a sell signal is represented by the same symbol in red. Standard COT Index (Willco): A buy signal is depicted by a “B” (in green), while a sell signal is shown by an “S” (in red). Additionally, the validity of the signals is checked. If a previous signal becomes invalid in the following week, it is marked with a gray “x,” indicating that these signals may not be reliable. Users can also switch between net positions, long, and short to analyze the most relevant data for them. Background Color The color in the channel can indicate the strength of the Commercials' long-term trend. A channel background color signals an active long-, short-term trend, while no color suggests that there is no clear long-term trend present. Strange behavior When only a sharp spike is displayed and the rest is flat, the length settings of the Cycle Length Index should be increased. This can occur when the length is too short, resulting in an unusual spike to properly generate the channel. Disclaimer The use of this indicator and the generated signals is at your own risk. The author assumes no responsibility for trading decisions made based on these signals. Please be aware that trading financial instruments involves risks.
Pine Script™ indicator
by ComJoTrader