Stoch + RSI Oscillator @shrilssThis script combines two powerful indicators, the Stochastic Oscillator and the Relative Strength Index (RSI), to offer traders a comprehensive view of market dynamics.
The Stochastic Oscillator, known for its effectiveness in identifying overbought and oversold conditions, is enhanced here with a smoothing mechanism to provide clearer signals. The script calculates the %K and %D lines of the Stochastic Oscillator, then applies a smoothing factor to %K, resulting in a smoother representation of price momentum.
Simultaneously, the RSI component offers insights into the strength of price movements. By comparing the average gains and losses over a specified period, it provides a measure of bullish and bearish sentiment within the market.
This script's innovation lies in its integration of these two indicators. The Stochastic Oscillator's smoothed %K line and the RSI are compared to dynamic thresholds, enabling traders to identify potential trend reversals and confirmations more effectively. When the RSI crosses above or below the Stochastic %D line, it can signal potential shifts in market momentum.
Cari dalam skrip untuk "stoch"
Stochastic Moving Average Convergence Divergence (SMACD)This is my attempt at making a Stochastic MACD indicator. To get this to work I have introduced a DC offset to the MACD histogram output. I figured that if theirs a Stochastic RSI their might as well be a Stochastic everything else! lmao enjoy. Honestly, from what I can tell it's even faster than Stochastic Smooth RSI.
The Stochastic Oscillator (STOCH) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum
Stochastic RSI HeatmapStochastic RSI presented as a heatmap starting from the oversold (20) / overbought (80) levels respectively. The more oversold / overbought the price, the more intense the color (blue / fuchsia).
Stochastic Spread AnalyzerA comparative version of the previously published Stochastic Structure Analyzer. It incorporates the 3-TF stochastics against both price and OBV values of the spread.
Stochastic with Bollinger & EMAIn this script
I combined the various of the oscillator
Stochastic (STOCH) with BB (Bollinger Bands).
Each cut of K and D creates a mark (+) Red / green - accordingly.
As the Stochastic (K) crosses the BB base, a green / red point is formed accordingly.
As a sign it is possible to continue up / down.
I added EMA8 to K (style circles)
When the oscillator is above the EMA - it is possible that this is a clear sign of an increase.
Band 50 was also added to facilitate the calculations.
Stochastic Z-Score Oscillator Strategy [TradeDots]The "Stochastic Z-Score Oscillator Strategy" represents an enhanced approach to the original "Buy Sell Strategy With Z-Score" trading strategy. Our upgraded Stochastic model incorporates an additional Stochastic Oscillator layer on top of the Z-Score statistical metrics, which bolsters the affirmation of potential price reversals.
We also revised our exit strategy to when the Z-Score revert to a level of zero. This amendment gives a much smaller drawdown, resulting in a better win-rate compared to the original version.
HOW DOES IT WORK
The strategy operates by calculating the Z-Score of the closing price for each candlestick. This allows us to evaluate how significantly the current price deviates from its typical volatility level.
The strategy first takes the scope of a rolling window, adjusted to the user's preference. This window is used to compute both the standard deviation and mean value. With these values, the strategic model finalizes the Z-Score. This determination is accomplished by subtracting the mean from the closing price and dividing the resulting value by the standard deviation.
Following this, the Stochastic Oscillator is utilized to affirm the Z-Score overbought and oversold indicators. This indicator operates within a 0 to 100 range, so a base adjustment to match the Z-Score scale is required. Post Stochastic Oscillator calculation, we recalibrate the figure to lie within the -4 to 4 range.
Finally, we compute the average of both the Stochastic Oscillator and Z-Score, signaling overpriced or underpriced conditions when the set threshold of positive or negative is breached.
APPLICATION
Firstly, it is better to identify a stable trading pair for this technique, such as two stocks with considerable correlation. This is to ensure conformance with the statistical model's assumption of a normal Gaussian distribution model. The ideal performance is theoretically situated within a sideways market devoid of skewness.
Following pair selection, the user should refine the span of the rolling window. A broader window smoothens the mean, more accurately capturing long-term market trends, while potentially enhancing volatility. This refinement results in fewer, yet precise trading signals.
Finally, the user must settle on an optimal Z-Score threshold, which essentially dictates the timing for buy/sell actions when the Z-Score exceeds with thresholds. A positive threshold signifies the price veering away from its mean, triggering a sell signal. Conversely, a negative threshold denotes the price falling below its mean, illustrating an underpriced condition that prompts a buy signal.
Within a normal distribution, a Z-Score of 1 records about 68% of occurrences centered at the mean, while a Z-Score of 2 captures approximately 95% of occurrences.
The 'cool down period' is essentially the number of bars that await before the next signal generation. This feature is employed to dodge the occurrence of multiple signals in a short period.
DEFAULT SETUP
The following is the default setup on EURAUD 1h timeframe
Rolling Window: 80
Z-Score Threshold: 2.8
Signal Cool Down Period: 5
Stochastic Length: 14
Stochastic Smooth Period: 7
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 40%
FURTHER IMPLICATION
The Stochastic Oscillator imparts minimal impact on the current strategy. As such, it may be beneficial to adjust the weightings between the Z-Score and Stochastic Oscillator values or the scale of Stochastic Oscillator to test different performance outcomes.
Alternative momentum indicators such as Keltner Channels or RSI could also serve as robust confirmations of overbought and oversold signals when used for verification.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Stochastic / Connectable [Azullian]Advance your market analysis with the Stochastic Oscillator. Identify potential price reversals with precision, aiding in the creation of flexible and accurate strategies.
This connectable Stochastic indicator is part of an indicator system designed to help test, visualize and build strategy configurations without coding. Like all connectable indicators , it interacts through the TradingView input source, which serves as a signal connector to link indicators to each other. All connectable indicators send signal weight to the next node in the system until it reaches either a connectable signal monitor, signal filter and/or strategy.
█ UNIFORM SETTINGS AND A WAY OF WORK
Although connectable indicators may have specific weight scoring conditions, they all aim to follow a standardized general approach to weight scoring settings, as outlined below.
■ Connectable indicators - Settings
• 🗲 Energy: Energy applies an ATR multiplier to the plotted shapes on the chart. A higher value plots shapes farther away from the candle, enhancing visibility.
• ☼ Brightness: Brightness determines the opacity of the shape plotted on the chart, aiding visibility. Indicator weight also influences opacity.
• → Input: Use the input setting to specify a data source for the indicator. Here you can connect the indicator to other indicators.
• ⌥ Flow: Determine where you want to receive signals from:
○ Both: Weights from this indicator and the connected indicator will apply
○ Indicator only: Only weights from this indicator will apply
○ Input only: Only weights from the connected indicator will apply
• ⥅ Weight multiplier: Multiply all weights in the entire indicator by a given factor, useful for quickly testing different indicators in a granular setup.
• ⥇ Threshold: Set a threshold to indicate the minimum amount of weight it should receive to pass it through to the next indicator.
• ⥱ Limiter: Set a hard limit to the maximum amount of weight that can be fed through the indicator.
■ Connectable indicators - Weight scoring settings
▢ Weight scoring conditions
• SM – Signal mode: Enable specific conditions for weight scoring
○ All: All signals will be scored.
○ Entries only: Only entries will score.
○ Exits only: Only exits will score.
○ Entries & exits: Both entries and exits will score.
○ Zone: Continuous scoring for each candle within the zone.
• SP – Signal period: Defines a range of candles within which a signal can score.
• SC - Signal count: Specifies the number of bars to retrospectively examine and score.
○ Single: Score for a single occurrence
○ All occurrences: Score for all occurrences
○ Single + Threshold: Score for single occurrences within the signal period (SP)
○ Every + Threshold: Score for all occurrences within the signal period (SP)
▢ Weight scoring direction
• ES: Enter Short weight
• XL: Exit long weight
• EL: Enter Long weight
• XS: Exit Short weight
▢ Weight scoring values
• Weights can hold either positive or negative scores. Positive weights enhance a particular trading direction, while negative weights diminish it.
█ STOCHASTIC - INDICATOR SETTINGS
■ Main settings
• Enable/Disable Indicator: Toggle the entire indicator on or off.
• S - Source: Choose an alternative data source for the Stochastic calculation.
• T - Timeframe: Select an alternative timeframe for the Stochastic calculation.
• KL - %K Length: Define the number of bars or periods used in the calculation of the %K value.
• OB - Overbought Level: Determine the Stochastic value at which overbought conditions are met.
• OS - Oversold Level: Specify the Stochastic value at which oversold conditions are met.
• %K - %K Smoothing: DDefine the number of bars or periods used to smooth the %K value.
• %D - %D Smoothing: Define the number of bars or periods used to calculate and smooth the %D
■ Scoring functionality
• The Stochastic scores long entries when the %K line crosses above the %D line within the OS (oversold) area.
• The Stochastic scores long exits when the %K line crosses below the %D line after being in the OS (oversold) area.
• The Stochastic scores long zones for the duration the %K is above the %D line within the OS (oversold) area.
• The Stochastic scores short entries when the %K line crosses below the %D line within the OB (overbought) area.
• The Stochastic scores short exits when the %K line crosses above the %D line after being in the OB (overbought) area.
• The Stochastic scores short zones for the duration the %K is below the %D line within the OB (overbought) area.
█ PLOTTING
• Standard: Symbols (EL, XS, ES, XL) appear relative to candles based on set conditions. Their opacity and position vary with weight.
• Conditional Settings: A larger icon appears if global conditions are met. For instance, with a Threshold(⥇) of 12, Signal Period (SP) of 3, and Scoring Condition (SC) set to "EVERY", a Stochastic signaling over two times in 3 candles (scoring 6 each) triggers a larger icon.
█ USAGE OF CONNECTABLE INDICATORS
■ Connectable chaining mechanism
Connectable indicators can be connected directly to the signal monitor, signal filter or strategy , or they can be daisy chained to each other while the last indicator in the chain connects to the signal monitor, signal filter or strategy. When using a signal filter you can chain the filter to the strategy input to make your chain complete.
• Direct chaining: Connect an indicator directly to the signal monitor, signal filter or strategy through the provided inputs (→).
• Daisy chaining: Connect indicators using the indicator input (→). The first in a daisy chain should have a flow (⌥) set to 'Indicator only'. Subsequent indicators use 'Both' to pass the previous weight. The final indicator connects to the signal monitor, signal filter, or strategy.
■ Set up this indicator with a signal filter and strategy
The indicator provides visual cues based on signal conditions. However, its weight system is best utilized when paired with a connectable signal filter, signal monitor, or strategy .
Let's connect the Stochastic to a connectable signal filter and a strategy :
1. Load all relevant indicators
• Load Stochastic / Connectable
• Load Signal filter / Connectable
• Load Strategy / Connectable
2. Signal Filter: Connect the Stochastic to the Signal Filter
• Open the signal filter settings
• Choose one of the three input dropdowns (1→, 2→, 3→) and choose : Stochastic / Connectable: Signal Connector
• Toggle the enable box before the connected input to enable the incoming signal
3. Signal Filter: Update the filter signals settings if needed
• The default settings of the filter enable EL (Enter Long), XL (Exit Long), ES (Enter Short) and XS (Exit Short).
4. Signal Filter: Update the weight threshold settings if needed
• All connectable indicators load by default with a score of 6 for each direction (EL, XL, ES, XS)
• By default, weight threshold (TH) is set at 5. This allows each occurrence to score, as the default score in each connectable indicator is 1 point above the threshold. Adjust to your liking.
5. Strategy: Connect the strategy to the signal filter in the strategy settings
• Select a strategy input → and select the Signal filter: Signal connector
6. Strategy: Enable filter compatible directions
• Set the signal mode of the strategy to a compatible direction with the signal filter.
Now that everything is connected, you'll notice green spikes in the signal filter representing long signals, and red spikes indicating short signals. Trades will also appear on the chart, complemented by a performance overview. Your journey is just beginning: delve into different scoring mechanisms, merge diverse connectable indicators, and craft unique chains. Instantly test your results and discover the potential of your configurations. Dive deep and enjoy the process!
█ BENEFITS
• Adaptable Modular Design: Arrange indicators in diverse structures via direct or daisy chaining, allowing tailored configurations to align with your analysis approach.
• Streamlined Backtesting: Simplify the iterative process of testing and adjusting combinations, facilitating a smoother exploration of potential setups.
• Intuitive Interface: Navigate TradingView with added ease. Integrate desired indicators, adjust settings, and establish alerts without delving into complex code.
• Signal Weight Precision: Leverage granular weight allocation among signals, offering a deeper layer of customization in strategy formulation.
• Advanced Signal Filtering: Define entry and exit conditions with more clarity, granting an added layer of strategy precision.
• Clear Visual Feedback: Distinct visual signals and cues enhance the readability of charts, promoting informed decision-making.
• Standardized Defaults: Indicators are equipped with universally recognized preset settings, ensuring consistency in initial setups across different types like momentum or volatility.
• Reliability: Our indicators are meticulously developed to prevent repainting. We strictly adhere to TradingView's coding conventions, ensuring our code is both performant and clean.
█ COMPATIBLE INDICATORS
Each indicator that incorporates our open-source 'azLibConnector' library and adheres to our conventions can be effortlessly integrated and used as detailed above.
For clarity and recognition within the TradingView platform, we append the suffix ' / Connectable' to every compatible indicator.
█ COMMON MISTAKES, CLARIFICATIONS AND TIPS
• Removing an indicator from a chain: Deleting a linked indicator and confirming the "remove study tree" alert will also remove all underlying indicators in the object tree. Before removing one, disconnect the adjacent indicators and move it to the object stack's bottom.
• Point systems: The azLibConnector provides 500 points for each direction (EL: Enter long, XL: Exit long, ES: Enter short, XS: Exit short) Remember this cap when devising a point structure.
• Flow misconfiguration: In daisy chains the first indicator should always have a flow (⌥) setting of 'indicator only' while other indicator should have a flow (⌥) setting of 'both'.
• Hide attributes: As connectable indicators send through quite some information you'll notice all the arguments are taking up some screenwidth and cause some visual clutter. You can disable arguments in Chart Settings / Status line.
• Layout and abbreviations: To maintain a consistent structure, we use abbreviations for each input. While this may initially seem complex, you'll quickly become familiar with them. Each abbreviation is also explained in the inline tooltips.
• Inputs: Connecting a connectable indicator directly to the strategy delivers the raw signal without a weight threshold, meaning every signal will trigger a trade.
█ A NOTE OF GRATITUDE
Through years of exploring TradingView and Pine Script, we've drawn immense inspiration from the community's knowledge and innovation. Thank you for being a constant source of motivation and insight.
█ RISK DISCLAIMER
Azullian's content, tools, scripts, articles, and educational offerings are presented purely for educational and informational uses. Please be aware that past performance should not be considered a predictor of future results.
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator?
The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K.
Stochastic helps identify:
Overbought and oversold conditions
Bullish and bearish crossovers
Momentum shifts before price reversals
It is widely used in both trending and ranging markets.
💡 What Makes This Suite Different?
This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including:
✅ Core Features:
- Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality.
- Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20).
- %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram.
- Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas).
🔍 Divergence Detection (Optional):
- Bullish Divergence: Price makes lower lows while %K makes higher lows.
- Bearish Divergence: Price makes higher highs while %K makes lower highs.
- Customizable pivot lookbacks and range filters to control divergence strictness.
- Visual divergence labels plotted directly on the oscillator.
🎛️ Fully Toggleable Visuals:
Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes.
🔔 Alerts:
Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies.
⚙️ Use Cases
- Spot exhaustion in overbought/oversold zones
- Confirm or filter entries with divergence signals
- Monitor multiple timeframes without switching charts
- Use as a signal tool in confluence with price action or volume indicators
⚠️ Disclaimer
This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha.
By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as “rotating volatility” — a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities.
🧠 Strategy Logic
✅ Long Entry Condition:
Stochastic on the 4H timeframe:
%K crosses above %D
Both %K and %D are below 20 (oversold zone)
Bollinger Bands on the 1H timeframe:
Price crosses above the lower Bollinger Band, indicating a potential reversal
→ A long trade is opened when both momentum recovery and volatility reversion align.
✅ Long Exit Condition:
Stochastic on the 4H:
%K crosses below %D
Both %K and %D are above 80 (overbought zone)
Bollinger Bands on the 1H:
Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion
→ The long trade is closed when either signal suggests a potential reversal or overextension.
🧬 Temporal Structure & Alpha
This strategy is deployed on a 10-hour chart — a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics.
This subtle adjustment exploits what some traders identify as “temporal drift” — the desynchronization of volatility across timeframes that creates hidden rhythm in price action.
→ For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows.
📊 Indicator Components
🔹 Stochastic Oscillator (4H, Length 17)
Detects momentum reversals using %K and %D crossovers
Helps define overbought/oversold zones from a mid-term view
🔹 Bollinger Bands (1H, Length 20, ±2 StdDev)
Measures price volatility using standard deviation around a moving average
Entry occurs near lower band (support), exits near upper band (resistance)
🔹 Multi-Timeframe Logic
Uses request.security() to safely reference 4H and 1H indicators from a 10H chart
Avoids repainting by using closed higher-timeframe candles only
📈 Visualization
A plot selector input allows toggling between:
Stochastic Plot (%K & %D, with overbought/oversold levels)
Bollinger Bands Plot (Upper, Basis, Lower from 1H data)
This helps users visually confirm entry/exit triggers in real time.
🛠 Customization
Fully configurable Stochastic and BB settings
Timeframes are independently adjustable
Strategy settings like position sizing, slippage, and commission are editable
⚠️ Disclaimer
This strategy is intended for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
Market conditions vary, and past performance does not guarantee future results.
Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
Stochastic [Paifc0de]Stochastic — clean stochastic oscillator with visual masking, neutral markers, and basic filters
What it does
This indicator plots a standard stochastic oscillator (%K with smoothing and %D) and adds practical quality-of-life features for lower timeframes: optional visual masking when %K hugs overbought/oversold, neutral K–D cross markers, session-gated edge triangles (K crossing 20/80), and simple filters (minimum %K slope, minimum |K–D| gap, optional %D slope agreement, mid-zone mute, and a cooldown between markers). Display values are clamped to 0–100 to keep the panel scale stable. The tool is for research/education and does not generate entries/exits or financial advice.
Default preset: 20 / 10 / 10
K Length = 20
Classic lookback used in many textbooks. On intraday charts it balances responsiveness and stability: short enough to react to momentum shifts, long enough to avoid constant whipsaws. In practice it captures ~the last 20 bars’ position of close within the high–low range.
K Smoothing = 10
A 10-period SMA applied to the raw %K moderates the “saw-tooth” effect that raw stochastic can exhibit in choppy phases. The smoothing reduces over-reaction to micro spikes while preserving the main rhythm of swings; visually, %K becomes a continuous path that is easier to read.
D Length = 10
%D is the moving average of smoothed %K. With 10, %D becomes a clearly slower guide line. The larger separation between %K(10-SMA) and %D(10-SMA of %K) produces cleaner crosses and fewer spurious toggles than micro settings (e.g., 3/3/3). On M5–M15 this pair often yields readable cross cycles without flooding the chart.
How the 20/10/10 trio behaves
In persistent trends, %K will spend more time near 20 or 80; the 10-period smoothing delays flips slightly and emphasizes only meaningful turn attempts.
In ranges, %K oscillates around mid-zone (40–60). With 10/10 smoothing, cross signals cluster less densely; combining with the |K–D| gap filter helps keep only decisive crosses.
If your symbol is unusually volatile or illiquid, reduce K Length (e.g., 14) or reduce K Smoothing (e.g., 7) to keep responsiveness. If crosses feel late, decrease D Length (e.g., 7). If noise is excessive, increase K Smoothing first, then consider raising D Length.
Visuals
OB/OS lines: default 80/20 reference levels and a midline at 50.
Masking near edges: %K can be temporarily hidden when it is pressing an edge, approaching it with low slope, or going nearly flat near the boundary. This keeps the panel readable during “stuck at the edge” phases.
Soft glow (optional): highlights %K’s active path; can be turned off.
Light/Dark palette: quick toggle to match your chart theme.
Scale safety: all plotted values (lines, fills, markers) are clamped to 0–100 to prevent the axis from expanding beyond the stochastic range.
Markers and filters
Neutral K–D cross markers: circles in the mid-zone when %K crosses %D.
Edge triangles: show when %K crosses 20 or 80; can be restricted to a session window (02:00–12:00 ET).
Filters (optional):
Min %K slope: require a minimum absolute slope so very flat crosses are ignored.
Min |K–D| gap: demand separation between lines at the cross moment.
%D slope agreement: keep crosses that align with %D’s direction.
Mid-zone mute: suppress crosses inside a user-defined 40–60 band (defaults).
Cooldown: minimum bars between successive markers.
Parameters (quick guide)
K Length / K Smoothing / D Length: core stochastic settings. Start with 20/10/10; tune K Smoothing first if you see too much jitter.
Overbought / Oversold (80/20): adjust for assets that tend to trend (raise to 85/15) or mean-revert (lower to 75/25).
Slope & gap filters: increase on very noisy symbols; reduce if you miss too many crosses.
Session window (triangles only): use if you want edge markers only during active hours.
Marker size and offset: cosmetic; they do not affect calculations.
Alerts
K–D Cross Up (filtered) and K–D Cross Down (filtered): fire when a cross passes your filters/cooldown.
Edge Up / Edge Down: fire when %K crosses the 20/80 levels.
All alerts confirm on bar close.
Notes & attribution
Original implementation and integration by Paifc0de; no third-party code is copied.
This indicator is for research/education and does not provide entries/exits or financial advice.
Stochastic Biquad Band Pass FilterThis indicator combines the power of a biquad band pass filter with the popular stochastic oscillator to provide a unique tool for analyzing price movements.
The Filter Length parameter determines the center frequency of the biquad band pass filter, affecting which frequency band is isolated. Adjusting this parameter allows you to focus on different parts of the price movement spectrum.
The Bandwidth (BW) controls the width of the frequency band in octaves. It represents the bandwidth between -3 dB frequencies for the band pass filter. A narrower bandwidth results in a more focused filtering effect, isolating a tighter range of frequencies.
The %K Length parameter sets the period for the stochastic calculation, determining the range over which the stochastic values are calculated.
The %K Smoothing parameter applies a simple moving average to the %K values to smooth out the oscillator line.
The %D Length parameter sets the period for the %D line, which is a simple moving average of the %K line, providing a signal line for the oscillator.
Key Features of the Stochastic Biquad Band Pass Filter
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. In this implementation, the biquad filter is configured as a band pass filter, which allows frequencies within a specified band to pass while attenuating frequencies outside this band. This is particularly useful in trading to isolate specific price movements, making it easier to detect patterns and trends within a targeted frequency range.
The stochastic oscillator is a popular momentum indicator that shows the location of the close relative to the high-low range over a set number of periods. Combining it with a biquad band pass filter enhances its effectiveness by focusing on specific frequency bands of price movements.
By incorporating this stochastic biquad band pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into specific frequency bands of price movements, leading to more informed trading decisions.
Stochastic + RSI, Double Strategy (by ChartArt)This strategy combines the classic RSI strategy to sell when the RSI increases over 70 (or to buy when it falls below 30), with the classic Stochastic Slow strategy to sell when the Stochastic oscillator exceeds the value of 80 (and to buy when this value is below 20).
This simple strategy only triggers when both the RSI and the Stochastic are together in a overbought or oversold condition. The one hour chart of the S&P 500 worked quite well recently with this double strategy.
By the way this strategy should not be confused with the 'Stochastic RSI', which measures the RSI only.
All trading involves high risk; past performance is not necessarily indicative of future results.
Stochastic Clean & ClearA simple yet sharp take on the Stochastic Oscillator, built for traders who want to read momentum cleanly without extra clutter.
💡 Main Features:
Dynamic %K and %D line colors — green for bullish momentum, red for bearish.
Auto dots appear whenever %K crosses %D, so you’ll never miss a signal.
Clearly marked overbought (80) and oversold (20) zones with a soft transparent background.
Adjustable smoothing parameters to fit your trading style.
🎯 Perfect for traders who rely on price action + momentum, especially on intraday and swing timeframes.
Minimalist design, no noise — just colors and dots that tell you when the market mood starts to shift.
Open Interest StochasticStochastic Money Flow Index(MFI) using open interest instead of volume.
Open Interest data for Binance, Bitmex, and Kraken
Stochastic of Two-Pole SuperSmoother [Loxx]Stochastic of Two-Pole SuperSmoother is a Stochastic Indicator that takes as input Two-Pole SuperSmoother of price. Includes gradient coloring and Discontinued Signal Lines signals with alerts.
What is Ehlers ; Two-Pole Super Smoother?
From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers
A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantially less lag for an equivalent amount of smoothing produced by the moving average. For example, a five-bar SMA has a cutoff period of approximately 10 bars and has two bars of lag. A SuperSmoother filter with a cutoff period of 10 bars has a lag a half bar larger than the two-pole modified Butterworth filter.Therefore, such a SuperSmoother filter has a maximum lag of approximately 1.5 bars and even less lag into the attenuation band of the filter. The differential in lag between moving average and SuperSmoother filter outputs becomes even larger when the cutoff periods are larger.
Market data contain noise, and removal of noise is the reason for using smoothing filters. In fact, market data contain several kinds of noise. I’ll group one kind of noise as systemic, caused by the random events of trades being exercised. A second kind of noise is aliasing noise, caused by the use of sampled data. Aliasing noise is the dominant term in the data for shorter cycle periods.
It is easy to think of market data as being a continuous waveform, but it is not. Using the closing price as representative for that bar constitutes one sample point. It doesn’t matter if you are using an average of the high and low instead of the close, you are still getting one sample per bar. Since sampled data is being used, there are some dSP aspects that must be considered. For example, the shortest analysis period that is possible (without aliasing)2 is a two-bar cycle.This is called the Nyquist frequency, 0.5 cycles per sample.A perfect two-bar sine wave cycle sampled at the peaks becomes a square wave due to sampling. However, sampling at the cycle peaks can- not be guaranteed, and the interference between the sampling frequency and the data frequency creates the aliasing noise.The noise is reduced as the data period is longer. For example, a four-bar cycle means there are four samples per cycle. Because there are more samples, the sampled data are a better replica of the sine wave component. The replica is better yet for an eight-bar data component.The improved fidelity of the sampled data means the aliasing noise is reduced at longer and longer cycle periods.The rate of reduction is 6 dB per octave. My experience is that the systemic noise rarely is more than 10 dB below the level of cyclic information, so that we create two conditions for effective smoothing of aliasing noise:
1. It is difficult to use cycle periods shorter that two octaves below the Nyquist frequency.That is, an eight-bar cycle component has a quantization noise level 12 dB below the noise level at the Nyquist frequency. longer cycle components therefore have a systemic noise level that exceeds the aliasing noise level.
2. A smoothing filter should have sufficient selectivity to reduce aliasing noise below the systemic noise level. Since aliasing noise increases at the rate of 6 dB per octave above a selected filter cutoff frequency and since the SuperSmoother attenuation rate is 12 dB per octave, the Super- Smoother filter is an effective tool to virtually eliminate aliasing noise in the output signal.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Bar coloring
Alerts
Signals
Loxx's Expanded Source Types
Stochastic MACDStochasticMACD (SMACD) is an oscillating momentum indicator. It is based on MACD but run through a stochastic oscillator.
This results in an indicator with all the same properties as MACD but with the benefit that the absolute levels can be compared to history values.
Stochastic + Keltner Channels for ScalpingSimple arrow indicator, indicating the direction go the next slight movement. This indicator will work on any time frame or market.
How does this indicator work?
It will use Stochastic and Keltner Channels to detect potential reversals depending on the frequency you choose in the indicator's settings. The higher the frequency, the fewer candles will be used in the calculation.
When to use this indicator?
It will work better in higher time frames for low volatility indicators. You can mix with other indicators like RSI or ADX. This way, you will be able to check if the time selected frame has enough volatility to move the price enough to cover the spreads and fees of your broker.
When to exit the trade after the signal from this indicator?
A good target would be for 1x ATR value and stop-loss 2x the ATR value. Doing trailing stop will reduce your risk and secure some profits, but make sure to use values for possible fakeouts
Can this indicator be used alone as the main source of entry signal for the trades?
You can use it alone, but I recommend mixing with other trend-based indicators, like Moving Averages, so you get the best results. Since it's for scalping purposes, small moments, and reversals, it doesn't have the trend filter, but it can work trading in favor of a significant trend as well
this is a better version of my other script Scalping Arrows
Stochastic RVIBased on the Stochastic RSI but uses RVI (Relative Volatility Index) as source. Another great tool for finding market lows and entry points. This oscillator is also good for finding accurate diversions.
Stochastic(4,3,2) Spread By Rajv1: This indicator plots a spread of %K - %D of the stochastic(4,3,2).
Stochastic ATR IIStochastic ATR(Higher timeframe)
- stochastic of macd of ATR.
- stochastic rsi of ATR
Stochastic with Lines - DefaultWhat is Stochastic with Lines - Default and why do you need it?
I use it for chart analysis to identify key K/D levels from which bullish / bearish market structure continues to develop.
Default means that every K/D cross above/below the signal lines will be notified on your Stochastic Indicator and not on your chart. To see them on your chart please choose "Stochastic with Lines - Chart" in my library.
Once K or the D line cross over or under your upper or lower signal line you will see background colors which you can adjust in the settings menu.
This small indicator is for a larger project which will be uploaded in several days/weeks.
Stochastic Oscillator [SystemAlpha]This is a Stochastic Oscillator enhanced with:
- Show Buy and Sell Alert
- Show Regular and Hidden divergence
- Show Divergence Labels
- Generate Alerts: Buy/Sell and Divergence
