Stochastictrading — Indicators and Strategies

Log Regression Oscillator Channel [BigBeluga] This unique overlay tool blends logarithmic trend analysis with dynamic oscillator behavior. It projects RSI, MFI, or Stochastic lines directly into a log regression channel on the price chart — offering an intuitive way to detect overbought/oversold momentum within the broader price structure. 🔵Key Features: Logarithmic Regression Channel: ➣ Draws a trend-based channel using logarithmic regression, adapting to price growth curvature over time. ➣ Features upper, lower, and optional midline boundaries to visualize trend flow and range extremes. Oscillator Overlay (RSI / MFI / Stochastic): ➣ Projects your chosen oscillator inside the channel using dynamic polylines. ➣ Allows switching between RSI, Money Flow Index, or Stochastic for versatile momentum insight. Threshold-Based Scaling: ➣ The top and bottom of the channel represent traditional oscillator thresholds (e.g., RSI 70/30). ➣ Users can modify the scale in settings to customize what "overbought" or "oversold" means visually. Signal Line Integration: ➣ Adds a yellow moving average (signal line) for smoother confirmation of oscillator turns. ➣ Helps identify divergence, momentum shifts, and fakeouts with better clarity. Live Oscillator Readout: ➣ Displays the real-time oscillator value at the right edge of the chart. ➣ Ensures traders stay aware of current momentum levels without switching panels. 🔵Usage: Momentum Context: ➣ When the oscillator touches the upper regression band, it may signal local overbought pressure. ➣ Touching the lower band may indicate oversold conditions within the current log trend. Divergence Detection: ➣ Use the oscillator’s behavior relative to the channel slope to spot divergence from price. ➣ For example, RSI rising inside a falling channel can flag early trend shifts. Trend-Sensitive Entries: ➣ Combine oscillator signals with log channel direction to filter trades in trend alignment. ➣ Signal line crossovers inside the channel act as early warning for momentum turns. The Log Regression Oscillator Channel transforms how traders view classic momentum tools. By embedding oscillators into a logarithmic trend structure, it offers unmatched clarity on momentum positioning relative to price expansion. Ideal for swing traders, mean-reverters, or trend followers looking to sharpen entries and exits with style.

Stochastic Fusion Elite [trade_lexx]📈 Stochastic Fusion Elite is your reliable trading assistant! 📊 What is Stochastic Fusion Elite ? Stochastic Fusion Elite is a trading indicator based on a stochastic oscillator. It analyzes the rate of price change and generates buy or sell signals based on various technical analysis methods. 💡 The main components of the indicator 📊 Stochastic oscillator (K and D) Stochastic shows the position of the current price relative to the price range for a certain period. Values above 80 indicate overbought (an early sale is possible), and values below 20 indicate oversold (an early purchase is possible). 📈 Moving Averages (MA) The indicator uses 10 different types of moving averages to smooth stochastic lines.: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - HMA: Moving Average Scale - KAMA: Kaufman Adaptive Moving Average - VWMA: Volume-weighted moving average - ALMA: Arnaud Legoux Moving Average - TEMA: Triple exponential moving average - ZLEMA: zero delay exponential moving average - DEMA: Double exponential moving average The choice of the type of moving average affects the speed of the indicator's response to market changes. 🎯 Bollinger Bands (BB) Bands around the moving average that widen and narrow depending on volatility. They help determine when the stochastic is out of the normal range. 🔄 Divergences Divergences show discrepancies between price and stochastic: - Bullish divergence: price is falling and stochastic is rising — an upward reversal is possible - Bearish divergence: the price is rising, and stochastic is falling — a downward reversal is possible 🔍 Indicator signals 1️⃣ KD signals (K and D stochastic lines) - Buy signal: - What happens: the %K line crosses the %D line from bottom to top - What does it look like: a green triangle with the label "KD" under the chart and the label "Buy" below the bar - What does this mean: the price is gaining an upward momentum, growth is possible - Sell signal: - What happens: the %K line crosses the %D line from top to bottom - What it looks like: a red triangle with the label "KD" above the chart and the label "Sell" above the bar - What does this mean: the price is losing its upward momentum, possibly falling 2️⃣ Moving Average Signals (MA) - Buy Signal: - What happens: stochastic crosses the moving average from bottom to top - What it looks like: a green triangle with the label "MA" under the chart and the label "Buy" below the bar - What does this mean: stochastic is starting to accelerate upward, price growth is possible - Sell signal: - What happens: stochastic crosses the moving average from top to bottom - What it looks like: a red triangle with the label "MA" above the chart and the label "Sell" above the bar - What does this mean: stochastic is starting to accelerate downwards, a price drop is possible 3️⃣ Bollinger Band Signals (BB) - Buy signal: - What happens: stochastic crosses the lower Bollinger band from bottom to top - What it looks like: a green triangle with the label "BB" under the chart and the label "Buy" below the bar - What does this mean: stochastic was too low and is now starting to recover - Sell signal: - What happens: Stochastic crosses the upper Bollinger band from top to bottom - What it looks like: a red triangle with a "BB" label above the chart and a "Sell" label above the bar - What does this mean: stochastic was too high and is now starting to decline 4️⃣ Divergence Signals (Div) - Buy Signal (Bullish Divergence): - What's happening: the price is falling, and stochastic is forming higher lows - What it looks like: a green triangle with a "Div" label under the chart and a "Buy" label below the bar - What does this mean: despite the falling price, the momentum is already changing in an upward direction - Sell signal (bearish divergence): - What's going on: the price is rising, and stochastic is forming lower highs - What it looks like: a red triangle with a "Div" label above the chart and a "Sell" label above the bar - What does this mean: despite the price increase, the momentum is already weakening 🛠️ Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals - Why it is needed: prevents signals from being too frequent during strong market fluctuations - How to set it up: Set the number from 0 and above (default: 5) 2️⃣ "Waiting for the opposite signal" mode - What it does: waits for a signal in the opposite direction before generating a new signal - Why you need it: it helps you not to miss important trend reversals - How to set up: just turn the function on or off 3️⃣ Filter by stochastic levels - What it does: generates signals only when the stochastic is in the specified ranges - Why it is needed: it helps to catch the moments when the market is oversold or overbought - How to set up: - For buy signals: set a range for oversold (for example, 1-20) - For sell signals: set a range for overbought (for example, 80-100) 4️⃣ MFI filter - What it does: additionally checks the values of the cash flow index (MFI) - Why it is needed: confirms stochastic signals with cash flow data - How to set it up: - For buy signals: set the range for oversold MFI (for example, 1-25) - For sell signals: set the range for overbought MFI (for example, 75-100) 5️⃣ The RSI filter - What it does: additionally checks the RSI values to confirm the signals - Why it is needed: adds additional confirmation from another popular indicator - How to set up: - For buy signals: set the range for oversold MFI (for example, 1-30) - For sell signals: set the range for overbought MFI (for example, 70-100) 🔄 Signal combination modes 1️⃣ Normal mode - How it works: all signals (KD, MA, BB, Div) work independently of each other - When to use it: for general market analysis or when learning how to work with the indicator 2️⃣ "AND" Mode ("AND Mode") - How it works: the alarm appears only when several conditions are triggered simultaneously - Combination options: - KD+MA: signals from the KD and moving average lines - KD+BB: signals from KD lines and Bollinger bands - KD+Div: signals from the KD and divergence lines - KD+MA+BB: three signals simultaneously - KD+MA+Div: three signals at the same time - KD+BB+Div: three signals at the same time - KD+MA+BB+Div: all four signals at the same time - When to use: for more reliable but rare signals 🔌 Connecting to trading strategies The indicator can be connected to your trading strategies using 6 different channels.: 1. Connector KD signals: connects only the signals from the intersection of lines K and D 2. Connector MA signals: connects only signals from moving averages 3. Connector BB signal: connects only the signals from the Bollinger bands 4. Connector divergence signals: connects only divergence signals 5. Combined Connector: connects any signals 6. Connector for "And" mode: connects only combined signals 🔔 Setting up alerts The indicator can send alerts when alarms appear.: - Alerts for KD: when the %K line crosses the %D line - Alerts for MA: when stochastic crosses the moving average - Alerts for BB: when stochastic crosses the Bollinger bands - Divergence alerts: when a divergence is detected - Combined alerts: for all types of alarms - Alerts for "And" mode: for combined signals 🎭 What does the indicator look like on the chart ? - Main lines K and D: blue and orange lines - Overbought/oversold levels: horizontal lines at levels 20 and 80 - Middle line: dotted line at level 50 - Stochastic Moving Average: yellow line - Bollinger bands: green lines around the moving average - Signals: green and red triangles with corresponding labels 📚 How to start using Stochastic Fusion Elite 1️⃣ Initial setup - Add an indicator to your chart - Select the types of signals you want to use (KD, MA, BB, Div) - Adjust the period and smoothing for the K and D lines 2️⃣ Filter settings - Set the distance between the signals to get rid of unnecessary noise - Adjust stochastic, MFI and RSI levels depending on the volatility of your asset - If you need more reliable signals, turn on the "Waiting for the opposite signal" mode. 3️⃣ Operation mode selection - First, use the standard mode to see all possible signals. - When you get comfortable, try the "And" mode for rarer signals. 4️⃣ Setting up Alerts - Select the types of signals you want to be notified about - Set up alerts for these types of signals 5️⃣ Verification and adaptation - Check the operation of the indicator on historical data - Adjust the parameters for a specific asset - Adapt the settings to your trading style 🌟 Usage examples For trend trading - Use the KD and MA signals in the direction of the main trend - Set the distance between the signals - Set stricter levels for filters For trading in a sideways range - Use BB signals to detect bounces from the range boundaries - Use a stochastic level filter to confirm overbought/oversold conditions - Adjust the Bollinger bands according to the width of the range To determine the pivot points - Pay attention to the divergence signals - Set the distance between the signals - Check the MFI and RSI filters for additional confirmation

Stochastic Trendlines with Breakouts [Jamshid] - Enhanced Stochastic Trendlines with Breakouts - Enhanced Version This advanced Stochastic Trendlines with Breakouts script combines several powerful features to provide enhanced breakout detection based on the Stochastic Oscillator and additional confirmation signals. This script is designed to help traders identify key trend reversals, breakout points, and pivot levels with more accuracy by integrating advanced filters such as RSI confirmation, moving average trend filtering, volatility filtering, divergence detection, and multi-timeframe analysis. Key Features: Stochastic Oscillator-Based Breakouts: Automatically detects breakouts based on the smoothed Stochastic Oscillator values (%K and %D), providing insights into overbought and oversold conditions. Customizable overbought and oversold levels, with a mid-level (50) line for additional reference. Trendlines on Pivot Points: Automatically plots dynamic trendlines based on pivot highs and lows of the smoothed Stochastic %K, helping to visualize potential reversal points. RSI Confirmation (Optional): Filters breakout signals using the Relative Strength Index (RSI) to confirm breakouts only when the RSI is below 50 for downtrend breakouts and above 50 for uptrend breakouts. Visual confirmation with a green "RSI Conf." label displayed on the chart when the RSI condition is met. Moving Average Filter (Optional): Confirms breakout signals in the direction of a user-defined Moving Average (MA) to trade in the overall market trend direction. MA length is fully customizable. Stochastic Divergence Filter (Optional): Detects bullish or bearish divergence between the price and Stochastic Oscillator values, adding an extra layer of confirmation. Multi-Timeframe Confirmation (Optional): Confirms breakouts by checking the Stochastic %K and %D values from a higher timeframe. This helps in avoiding false signals by aligning with the broader market trend. The higher timeframe can be customized to any timeframe (e.g., daily, weekly, etc.). Volatility Filter (Optional): Uses the ATR (Average True Range) to filter out breakouts during periods of low volatility, ensuring signals are only triggered when there is sufficient price movement. ATR length and multiplier are fully customizable. Custom Alerts: Alerts are available for new trendline detections (both pivot high and pivot low) and for confirmed breakout signals. These alerts help traders stay informed in real-time without needing to monitor the chart continuously. How to Use: Customize the Stochastic Oscillator settings, such as %K smoothing and %D line parameters, to fit your trading strategy. Enable or disable additional filtering features (RSI, MA, divergence, MTF, volatility) as needed. Set up alerts for specific breakout conditions directly in TradingView to stay notified when breakout signals are triggered. This script is designed for traders who are looking for precision breakout signals with added layers of confirmation to avoid false breakouts and enhance trading accuracy.

[KVA]K Stochastic Indicator Original Stochastic Oscillator Formula: %K=(C−Lowest Low)/(Highest High−Lowest Low)×100 Lowest Low refers to the lowest low of the past n periods. Highest High refers to the highest high of the past n periods. K Stochastic Indicator Formula: %K=(Source−Lowest Source)/(Highest Source−Lowest Source)×100 Lowest Source refers to the lowest value of the chosen source over the past length periods. Highest Source refers to the highest value of the chosen source over the past length periods. Key Difference : The original formula calculates %K using the absolute highest high and lowest low of the price over the past n periods. The K Stochastic formula calculates %K using the highest and lowest values of a chosen source (which could be the close, open, high, or low) over the specified length periods. So, if _src is set to something other than the high for the Highest Source or something other than the low for the Lowest Source, the K Stochastic will yield different results compared to the original formula which strictly uses the highest high and the lowest low of the price. Impact on Traders : Flexibility in Price Source : By allowing the source (_src) to be customizable, traders can apply the Stochastic calculation to different price points (e.g., open, high, low, close, or even an average of these). This could provide a different perspective on market momentum and potentially offer signals that are more aligned with a trader's specific strategy. Sensitivity to Price Action : Changing the source from high/low to potentially less extreme values (like close or open) could result in a less volatile oscillator, smoothing out some of the extreme peaks and troughs and possibly offering a more filtered view of market conditions. Customization of Periods : The ability to adjust the length period offers traders the opportunity to fine-tune the sensitivity of the indicator to match their trading horizon. Shorter periods may provide earlier signals, while longer periods could filter out market noise. Possibility of Applying the Indicator on Other Indicators : Layered Technical Analysis : The K Stochastic can be applied to other indicators, not just price. For example, it could be applied to a moving average to analyze its momentum or to indicators like RSI or MACD, offering a meta-analysis that studies the oscillator's behavior of other technical tools. Creation of Composite Indicator s: By applying the K Stochastic logic to other indicators, traders could create composite indicators that blend the characteristics of multiple indicators, potentially leading to unique signals that could offer an edge in certain market conditions. Enhanced Signal Interpretation : When applied to other indicators, the K Stochastic can help in identifying overbought or oversold conditions within those indicators, offering a different dimension to the interpretation of their output. Overall Implications : The KStochastic Indicator's modifications could lead to a more tailored application, giving traders the ability to adapt the tool to their specific trading style and analysis preferences. By being applicable to other indicators, it broadens the scope of stochastic analysis beyond price action, potentially offering innovative ways to interpret data and make trading decisions. The changes might also influence the trading signals, either by smoothing the oscillator's output to reduce noise or by altering the sensitivity to generate more or fewer signal Including the additional %F line, which is unique to the K Stochastic Indicator, further expands the potential impacts and applications for traders: Impact on Traders with the %F Line: Triple Smoothing : The %F line introduces a third level of smoothing, which could help in identifying longer-term trends and filtering out short-term fluctuations. This could be particularly useful for traders looking to avoid whipsaws and focus on more sustained movements. Potential for Enhanced Confirmation : The %F line might be used as a confirmation signal. For instance, if all three lines (%K, %D, and %F) are in agreement, a trader might consider this as a stronger signal to buy or sell, as opposed to when only the traditional two lines (%K and %D) are used. Risk Management: The additional line could be utilized for more sophisticated risk management strategies, where a trader might decide to scale in or out of positions based on the convergence or divergence of these lines. Possibility of Applying the Indicator on Other Indicators with the %F Line: Depth of Analysis : When applied to other indicators, the %F line can provide an even deeper layer of analysis, perhaps identifying macro trends within the indicator it is applied to, which could go unnoticed with just the traditional two-line approach. Refined Signal Strength Assessment : The strength of signals from other indicators could be assessed by the position and direction of the %F line, providing an additional filter to evaluate the robustness of buy or sell signals. Overall Implications with the %F Line : The inclusion of the %F line in the K Stochastic Indicator enhances its utility as a tool for trend analysis and signal confirmation. It allows traders to potentially identify and act on more reliable trading opportunities. This feature can enrich the trader's toolkit by providing a nuanced view of momentum and trend strength, which can be particularly valuable in volatile or choppy markets. For those applying the K Stochastic to other indicators, the %F line could be integral in creating a multi-tiered analysis strategy, potentially leading to more sophisticated interpretations and decisions. The presence of the %F line adds a dimension of depth to the analysis possible with the K Stochastic Indicator, making it a versatile tool that could be tailored to a variety of trading styles and objectives. However, as with any indicator, the additional complexity requires careful study and back-testing to ensure its signals are understood and actionable within the context of a comprehensive trading plan.

Stochastic EMA, SMA, VWMA + Divergence Every MetaTrader User knows the function to switch the stochastic calculation from simple to exponential. So i took the original Stochastic code from TV and enhanced it for the SMA, EMA, and VWMA smoothing. If you are using a longer K Smoothing interval you will recognize a notable difference between SMA and EMA. Standard Stochastic Calculation that is well kown Option to switch smoothing calculation Choice between Simple Moving Average, Exponential Moving Average, Volume Weighted Moving Average If you have more wishes regarding the smoothing, just leave a comment i can add a lot more... On my to-do list is also the divergence lines known from the "divergence indicator" (RSI). I hope this helps to get better entries ;-) Have fun!

Ehlers Stochastic Relative Vigor Index [CC]The Stochastic Relative Vigor Index was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 84-89) and this of course is very similar to the Ehlers Fisher Stochastic Relative Vigor Index I just published. In hindsight I probably should have published this one first but just like with the other script this is a stochastic version of a Relative Vigor Index and I added some smoothing to make buy and sell signals clearer. There are several ways to identify buy and sell signals but generally in the long term it is a buy signal when the indicator is below the oversold line and is moving up and in the short term when the indicator is above it's trigger line which is what I coded the buy and sell signals to follow. Buy when the line is green and sell when it turns red. Let me know if there are any other scripts you would like to see me publish!