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스토캐스틱 오실레이터

SMI + Bollinger Bands## SMI + Bollinger Bands SMI + Bollinger Bands is an overlay indicator that projects the Stochastic Momentum Index directly into the price space defined by Bollinger Bands. Traditional SMI indicators are displayed in a separate oscillator pane. This script instead transforms the SMI value into a price-relative flow line, allowing momentum, volatility, and price structure to be viewed together on the main chart. ### Core concept The indicator calculates two related systems: 1. A standard Bollinger Band structure based on a configurable moving average and standard deviation. 2. A double-smoothed Stochastic Momentum Index calculated from the relationship between the closing price and its recent high-low range. The SMI is then normalized using the selected SMI Threshold and projected around the Bollinger basis: * An SMI value equal to the positive threshold aligns with the primary upper Bollinger Band. * An SMI value equal to the negative threshold aligns with the primary lower Bollinger Band. * Values between the thresholds appear inside the primary Bollinger range. * Momentum exceeding the threshold can extend beyond the primary bands and into the optional extended-band zones. This projection makes it possible to compare momentum behavior directly with current price and volatility rather than interpreting an oscillator in a separate pane. ### Plotted elements **Bollinger basis** The center line of the Bollinger structure. The moving-average type can be selected from SMA, EMA, SMMA/RMA, WMA, or VWMA. **Primary Bollinger Bands** The upper and lower volatility boundaries calculated from the selected standard-deviation multiplier. **Extended Bollinger Bands** Optional outer volatility zones using a separately configurable standard-deviation multiplier. These areas can help visualize unusually extended price or momentum conditions. **SMI Flow** The yellow line represents the projected Stochastic Momentum Index. Its position shows where momentum currently sits relative to the Bollinger structure. **SMI Flow-Base** The white line is an EMA-smoothed version of the projected SMI Flow. It provides a slower reference line that can be used to observe momentum direction, compression, expansion, and crossings. ### Inputs **Bollinger Band settings** * Length: Lookback period used for the Bollinger basis and standard deviation. * Basis MA Type: Moving-average calculation used for the basis. * Source: Price source used for the Bollinger calculations. * StdDev: Multiplier used for the primary Bollinger Bands. * Extended StdDev: Multiplier used for the optional outer bands. * Use Extended Bands: Enables or disables the extended volatility zones. **SMI settings** * %K Length: Lookback period used to determine the recent high-low momentum range. * %D Length: Double-EMA smoothing applied during the SMI calculation. * EMA Length: Smoothing applied to the projected SMI Flow-Base line. * SMI Threshold: Defines which positive and negative SMI values align with the primary upper and lower Bollinger Bands. ### General interpretation The indicator is intended as a visual analysis framework rather than a standalone entry system. Traders may use it to study: * Momentum changes relative to volatility. * SMI Flow and Flow-Base crossings. * Momentum expansion beyond the primary bands. * Momentum rejection from extended zones. * Divergence between price movement and projected momentum. * Compression around the Bollinger basis. * Confluence with trend, structure, volume, support, resistance, or other analysis. A movement outside a band does not automatically indicate a reversal. Strong trends can remain extended, and crossings can occur repeatedly during sideways or volatile conditions. Market context and risk management remain necessary. ### Calculation behavior This script does not use future data, lookahead calculations, or higher-timeframe requests. Values on the active candle may continue changing as the candle’s high, low, and close update. Historical values are finalized after their respective candles close. ### Disclaimer This indicator is provided for research, education, and chart analysis. It does not provide guaranteed trade signals, financial advice, or predictions of future market performance. Users are responsible for independently evaluating all trading decisions and managing their own risk.
지표
silence_has_a_color의
1
Stochastic + RSI in oneStochastic + RSI Confluence Signal is a combined momentum oscillator that integrates the Stochastic Oscillator and Relative Strength Index (RSI) into one panel. The indicator is designed to help traders identify potential exhaustion zones and moments when both momentum tools indicate similar market conditions. Logic: • Stochastic measures the position of the current closing price relative to the recent high-low range. • RSI measures the strength and speed of price movements. The default settings are based on the traditional parameters: • Stochastic: K Period 5, D Period 3, Slowing 3 • RSI: Period 14 Potential bearish conditions: • Stochastic reversal from an overbought area • RSI above the overbought level Potential bullish conditions: • Stochastic reversal from an oversold area • RSI below the oversold level This indicator is intended as a confirmation tool and should not be used as a standalone trading system. Market context, trend direction, price action, and risk management should always be considered. Users can adjust all parameters according to their trading style, timeframe, and market conditions. -------------------------------------------------------------------------------- Stochastic + RSI Confluence Signal to połączony oscylator momentum, który integruje Oscylator Stochastic oraz Relative Strength Index (RSI) w jednym panelu. Wskaźnik został zaprojektowany, aby pomagać traderom identyfikować potencjalne strefy wyczerpania ruchu oraz momenty, w których oba narzędzia momentum wskazują podobne warunki rynkowe. Logika działania: • Stochastic mierzy położenie aktualnego zamknięcia ceny względem ostatniego zakresu pomiędzy najwyższym High i najniższym Low. • RSI mierzy siłę oraz dynamikę ruchów cenowych. Domyślne ustawienia wykorzystują klasyczne parametry: • Stochastic: K Period 5, D Period 3, Slowing 3 • RSI: Period 14 Potencjalne warunki spadkowe: • Odwrócenie Stochastic ze strefy wykupienia • RSI powyżej poziomu wykupienia Potencjalne warunki wzrostowe: • Odwrócenie Stochastic ze strefy wyprzedania • RSI poniżej poziomu wyprzedania Wskaźnik jest przeznaczony jako narzędzie potwierdzające i nie powinien być używany jako samodzielny system transakcyjny. Należy zawsze uwzględniać kontekst rynku, kierunek trendu, zachowanie ceny oraz zarządzanie ryzykiem. Użytkownik może dostosować wszystkie parametry do własnego stylu handlu, interwału czasowego oraz warunków rynkowych.
지표
marta_anna_urbanska의
Zero Lag CVD, RSI & Stochastic Divergence (All-in-One) [D4A]Zero Lag CVD, RSI, Stochastic Divergence Overview Zero-Lag Divergence indicator is designed to identify bullish and bearish divergences as they happen, without relying on traditional pivot confirmation delays. By comparing price action with output of CVD, RSI and Stochastic across two independent detection periods, the indicator helps traders spot potential trend exhaustion and reversal opportunities earlier than conventional divergence tools. How is this indicator different from other similar tools? - Provides real-time non-repainting divergence signals for CVD, RSI and Stochastic in one convenient script - Provides instant and separate divergence signals for one of the three oscillators (CVD, RSI, Stochastic), combination of two oscillators or combination of all three (Agreement Mode), thus marking double or triple confirmation of discrepancy between the price, momentum and volume, signalling potentially important reversal zone. - To maximize probability of validity of the signal, the user can configure overbought and oversold conditions for both momentum oscillators (RSI & Stochastic) to filter only the strongest signals. - To keep chart clutter under control the tool combines divergence labels into one common label in Agreement Mode - The indicator tracks divergence simultaneously using two different and configurable periods (short- and long-term divergence) thus allowing to track shorter and longer periods for possible divergences while using only one timeframe - Displays all signals directly on the chart - no need for additional panel below or above the chart - All three oscillators can be independently configured, eg. signal length, smoothing, overbought and oversold levels. Bullish Divergence Logic Occurs when price forms a lower low while oscillator forms a higher low, suggesting weakening bearish momentum (volume) and the possibility of an upward reversal. Bearish Divergence Logic Occurs when price forms a higher high while oscillator forms a lower high, indicating weakening bullish momentum (volume) and the potential for a downward move. Why Zero-Lag? Most divergence indicators require future candle confirmation before displaying a signal. This indicator prioritizes immediacy by highlighting potential divergences as they form, allowing traders to react sooner to developing momentum shifts. While this approach can generate earlier opportunities, it may also create false signals and market noise. For best results, consider combining divergence signals with trend analysis, support and resistance levels, volume studies, or additional confirmation tools. Notes * Signals are non-repainting once generated. * Earlier detection may result in more frequent signals compared to traditional pivot-confirmed divergence indicators. * Suitable for stocks, forex, cryptocurrencies, indices, and other liquid markets. * Can be used on any timeframe, from intraday trading to higher-timeframe swing analysis. SETTINGS - Zero-Lag Divergence - enable the display of signals - Mode - select for which oscillator should divergence signals be plotted: CVD - Cumulative Volume Delta RSI - Relative Strength Index Stochastic - Momentum oscillator Agreement - two or three indicators agree at the same time (same candle) - Minimum Agreement - how many indicators should agree at the same time: Any Two or Any Three - Cumulative Volume Delta Length - RSI Length, OB (overbought) level , OS (oversold) level. OB and OS levels can be used to select more extreme zones to find divergence (stronger signals). - Stochastic: %K and Smoothing settings, as well as OB and OS settings (work similar to RSI logic) - Show Labels - show labels on the chart - Bullish Label - can be set and color coded for different indicators - Bearish Label - can be set and color coded for different indicators - All Oscillators Agree - displays label when all three oscillators generate divergence signals at the same time - RSI + Stochastic - displays label when both RSI and Stochastic agree at the same time - CVD + Stochastic - displays label when both CVD and Stochastic agree at the same time - CVD + RSI - displays label when both CVD and RSI agree at the same time - RSI Divergence Label only if RSI >=OB or RSI <= OS - display the label only when RSI divergence signals are detected at user-defined overbought or oversold levels - Stochastic Divergence Label only if Stochastic >=OB or Stochastic <= OS - display the label only when Stochastic divergence signals are detected at user-defined overbought or oversold levels - Show Lines - draw lines between divergence points. - Short Period - define the 1st period for which divergence is detected - Long Period - define the 2nd period for which divergence is detected - Distance Multiplier & ATR - used to position the labels at specific distance from divergence point What is CVD? CVD measures the cumulative difference between buying and selling volume. A rising CVD indicates more buying pressure, while a falling CVD indicates more selling pressure. Divergence occurs when the price action contradicts the CVD's direction, suggesting a potential shift in momentum or trend reversal. What is RSI? The relative strength index (RSI) is a momentum indicator used to measures the speed and magnitude of a asset's recent price changes to detect overbought or oversold conditions. What is Stochastic? Trading View definition: 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. ----------------- Disclaimer The content provided in this script is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
지표
dub4art의
13
Hybrid OscillatorHybrid Oscillator Hybrid Oscillator is a visual oscillator designed to read momentum pressure, overbought conditions, oversold conditions, oscillator crosses, extreme zones and directional fading inside a separate chart pane. the indicator combines a selected oscillator engine with a smoothed wave, a secondary cross line, gradient zones, level dots and alert conditions. the goal is to help traders understand when momentum is expanding, when it is reaching an extreme area, when it is cooling down, and when the main oscillator line crosses its reference line. this tool is not a trading strategy. it does not place trades, does not guarantee reversals and does not predict future price movement. it is a technical analysis tool for market context, momentum reading and visual confirmation. main concept the oscillator moves between 0 and 100. values near the upper zone show stronger upside pressure or overbought conditions. values near the lower zone show stronger downside pressure or oversold conditions. the main oscillator line is the active momentum wave. the real cross line is a smoother reference line. when the main oscillator crosses above the real cross line, momentum may be recovering or shifting upward. when the main oscillator crosses below the real cross line, momentum may be weakening or shifting downward. what the indicator displays main oscillator line real cross line upper and lower gradient zones overbought level oversold level extreme overbought level extreme oversold level mid upper level mid lower level top extreme dots bottom extreme dots real cross dots level lines alert conditions oscillator engines the script includes several oscillator calculation modes. rsi uses relative strength index behavior. this mode is useful for reading classic momentum strength and overbought or oversold behavior. stochastic uses stochastic positioning. this mode focuses on where price is closing compared to its recent high and low range. hybrid rsi plus stochastic uses rsi first, then applies a stochastic calculation to the rsi behavior. this mode focuses on momentum position inside the rsi range and gives a more reactive exhaustion style. cci normalized uses commodity channel index behavior and normalizes it into a 0 to 100 style range. this mode can be useful for reading broader deviation and momentum pressure. how the real cross line works the real cross line is a smoothed version of the active oscillator. it is not a separate oscillator type. it follows the selected engine. if rsi mode is selected, the cross line follows the rsi-based oscillator. if stochastic mode is selected, the cross line follows the stochastic-based oscillator. if hybrid mode is selected, the cross line follows the hybrid oscillator. if cci normalized mode is selected, the cross line follows the normalized cci oscillator. the cross dots are based on the actual intersection between the main oscillator and the real cross line. orange cross dots show an upward cross. magenta cross dots show a downward cross. input guide source selects the price source used by the oscillator. common choices are close, hl2, hlc3 or ohlc4. close is simple and reactive. hlc3 is smoother because it includes high, low and close. length controls the base oscillator calculation period. a lower value makes the oscillator faster and more sensitive. a higher value makes the oscillator smoother and slower. smoothing controls the smoothing applied to the final oscillator. a lower value reacts faster. a higher value reduces noise but adds more delay. oscillator type selects the calculation engine. rsi is classic momentum. stochastic is range position. hybrid rsi plus stochastic is a more sensitive momentum range model. cci normalized is a deviation-based momentum model. extreme overbought sets the upper extreme zone. when the oscillator reaches this area, upside momentum is considered stretched. overbought sets the main upper warning level. crossing this level can mark a strong bullish extension. mid upper sets the upper midline reference. this can be used to detect smaller upward crosses around the upper balance area. mid lower sets the lower midline reference. this can be used to detect smaller downward crosses around the lower balance area. oversold sets the main lower warning level. crossing this level can mark a strong bearish extension. extreme oversold sets the lower extreme zone. when the oscillator reaches this area, downside momentum is considered stretched. enable gradient fills turns the upper and lower visual gradient zones on or off. when enabled, the oscillator pane becomes easier to read visually. gradient layers controls the number of visual layers used for the gradient style. more layers create a smoother visual feel. show level cross dots shows or hides the dots created by cross conditions and extreme conditions. show real cross line shows or hides the smoother cross reference line. this line is useful when you want to see exactly where the oscillator cross dots come from. show level lines shows or hides the horizontal reference lines. these lines help identify overbought, oversold, extreme and midpoint areas. oscillator line width controls the thickness of the main oscillator line. higher values make the oscillator more visible. lower values keep the chart cleaner. how to read the dots top extreme dots these appear when the oscillator is inside the extreme overbought zone. they indicate strong upside extension. they do not mean price must reverse immediately. bottom extreme dots these appear when the oscillator is inside the extreme oversold zone. they indicate strong downside extension. they do not mean price must reverse immediately. orange cross dots these appear when the main oscillator crosses above the real cross line. they can show a possible upward momentum shift. magenta cross dots these appear when the main oscillator crosses below the real cross line. they can show a possible downward momentum shift. important note about dots cross dots are not automatic buy or sell signals. they show technical events inside the oscillator. always confirm with trend, support and resistance, candle close, volume and risk management. alerts the script includes alert conditions for: cross above the real cross line cross below the real cross line cross above overbought cross below oversold cross above extreme overbought cross below extreme oversold recommended beginner alert use start with real cross up and real cross down. use overbought and oversold alerts only as context. use extreme alerts as exhaustion warnings, not direct trade signals. avoid activating every alert at once if you want a clean workflow. beginner tutorial step 1: start with the default oscillator type begin with hybrid rsi plus stochastic. this mode gives a balanced view between momentum and range behavior. step 2: keep the default levels use the default overbought, oversold and extreme levels first. do not change too many settings before understanding the oscillator behavior. step 3: enable the real cross line turn on the real cross line to see where cross dots come from. when the oscillator crosses above the line, upward momentum may be improving. when the oscillator crosses below the line, momentum may be weakening. step 4: read the zones above overbought, the market is showing strong upside momentum. below oversold, the market is showing strong downside momentum. inside the middle area, the market is more balanced. step 5: read extremes carefully extreme overbought can show strong bullish pressure. extreme oversold can show strong bearish pressure. an extreme does not guarantee a reversal. strong markets can stay extreme longer than expected. step 6: confirm with price action before using any oscillator event, check the main chart. look for: trend direction support and resistance market structure candle close volume reaction higher timeframe context risk to reward step 7: keep the chart clean do not use every signal as an entry. focus on the main oscillator, real cross line, extreme zones and a few important dots. example 1: upward cross from the lower zone the oscillator is near the oversold area. then it crosses above the real cross line. an orange dot appears at the real cross. this can suggest that downside momentum is cooling and upward pressure may be starting. a beginner should wait for price confirmation, such as a higher low, bullish candle close or break of short-term resistance. example 2: downward cross from the upper zone the oscillator is near the overbought area. then it crosses below the real cross line. a magenta dot appears at the real cross. this can suggest that upside momentum is weakening. a beginner should wait for price confirmation, such as rejection, lower high or break of short-term support. example 3: extreme overbought continuation the oscillator reaches the extreme overbought zone. top extreme dots appear. this means momentum is very strong to the upside. it does not mean a sell signal is confirmed. in a strong trend, the oscillator can remain high while price continues moving upward. example 4: extreme oversold continuation the oscillator reaches the extreme oversold zone. bottom extreme dots appear. this means momentum is very strong to the downside. it does not mean a buy signal is confirmed. in a strong downtrend, the oscillator can remain low while price continues moving downward. example 5: using the cross line for timing price is near support. the oscillator is low. the oscillator crosses above the real cross line. an orange dot appears. this can be used as an early momentum recovery warning, but the trader should still wait for price structure confirmation before making a decision. example 6: using overbought as context price is in an uptrend. the oscillator crosses above the overbought level. this confirms strong bullish pressure. instead of shorting immediately, a beginner can watch for continuation or wait for a later loss of momentum. best use cases momentum reading overbought and oversold context detecting oscillator cross events watching exhaustion zones supporting reversal analysis supporting trend continuation analysis building alert-based watchlists confirming price action with momentum context recommended beginner setup oscillator type: hybrid rsi plus stochastic length: 14 smoothing: 3 show real cross line: on show level cross dots: on show level lines: on enable gradient fills: on use cross dots as warnings use extreme dots as context confirm every idea on the price chart practical workflow first, identify the current trend on the main chart. second, check whether the oscillator is near the upper, middle or lower zone. third, watch the real cross line. fourth, note any orange or magenta cross dot. fifth, check whether price confirms the oscillator event. sixth, define invalidation and risk before any trade idea. seventh, avoid taking signals against a strong trend without extra confirmation. limitations the oscillator is based on historical price data. signals can appear late during fast moves. extreme zones can stay extreme during strong trends. cross dots are momentum events, not guaranteed reversals. the tool should not be used alone. risk note this indicator is designed for technical analysis and educational market study. it does not provide financial advice, investment advice or guaranteed trading signals. all dots, levels, crosses, alerts and visual zones are references that require independent confirmation and proper risk management.
지표
Alpha_Wizard의
Wave Oscillatorwave high low detector pro wave high low detector is a bounded oscillator designed to help identify potential local high and low areas using momentum, rsi behavior, pivot confirmation, candle rejection, divergence, atr exhaustion, structure breaks, cooldown logic and quality scoring. the oscillator moves between 0 and 100. a value near 100 means price is trading close to the upper part of its recent range or showing strong upside momentum. a value near 0 means price is trading close to the lower part of its recent range or showing strong downside momentum. the script does not predict the future and does not guarantee market tops or bottoms. it is a technical analysis tool that marks possible early and confirmed high or low references. every signal should be confirmed with price action, market structure, volume, trend context and risk management. main idea the indicator separates high and low detection into two signal types: early high and early low confirmed high and confirmed low early signals are faster and more reactive. they appear when the oscillator leaves an extreme zone and the selected filters agree. confirmed signals are slower but more selective. they use pivot confirmation and additional context to validate a stronger high or low reference. this design allows the trader to choose between speed and confirmation. what the indicator shows wave oscillator high zone low zone balance zone early high markers early low markers confirmed high markers confirmed low markers quality score labels bull and bear gradient fill optional glow right-side zone labels dashboard with state, value, score and mode separate alerts for early and confirmed signals how high and low detection works an early high appears when the oscillator leaves the upper zone after being stretched upward. an early low appears when the oscillator leaves the lower zone after being stretched downward. a confirmed high appears only when a pivot high is confirmed and the score is strong enough. a confirmed low appears only when a pivot low is confirmed and the score is strong enough. confirmed signals are placed back on the pivot location, so they naturally appear with a delay. this is normal because pivots need future bars to confirm the local high or low. quality score the score rates the quality of a potential high or low from 0 to 100. the score can include: extreme oscillator condition super extreme oscillator condition oscillator slope reversal wick rejection atr exhaustion divergence structure break pivot confirmation a higher score means more conditions agree. a lower score means the setup is weaker or less complete. the score is not a trade signal by itself. it is only a filter that helps compare the quality of different high and low references. input guide engine source selects the price source used by the rsi engine. common choices are close, open, high, low, hl2, hlc3 or ohlc4. length sensitivity controls how many bars are used by the oscillator engine. lower values make the wave faster and more reactive. higher values make the wave smoother and slower. smoothing smooths the oscillator. higher values reduce noise but add delay. lower values react faster but may produce more signals. engine selects the oscillator calculation method. momentum wave uses a stochastic-style high and low range calculation. this is the most direct mode for high and low detection. rsi uses a smoothed rsi. this mode reads momentum exhaustion rather than pure range position. blend combines rsi and range position. this gives a balanced reading between momentum and high or low range behavior. levels overbought high zone sets the upper zone where price is considered stretched toward the high area. default logic usually works around 80. oversold low zone sets the lower zone where price is considered stretched toward the low area. default logic usually works around 20. show midline shows or hides the 50 balance line. above 50, the oscillator is generally stronger. below 50, the oscillator is generally weaker. high low detector detection mode controls the signal strictness. fast more reactive. it allows earlier signals with fewer confirmations. balanced uses a middle approach between speed and confirmation. confirmed stricter and slower. it requires stronger confirmation and higher score quality. show early high low shows or hides early high and early low markers. show confirmed high low shows or hides confirmed high and confirmed low markers. balanced minimum score sets the minimum score used in balanced mode. higher values reduce signals. lower values increase signals. pivot left bars sets how many bars to the left are used to confirm a pivot. higher values make pivots more important but slower. pivot right bars sets how many bars to the right are required to confirm a pivot. higher values make confirmed signals more reliable but delayed. cooldown between signals sets the minimum number of bars between repeated signals of the same type. this helps reduce signal spam. show quality score labels shows or hides score labels near early and confirmed markers. optional filters use divergence in score adds divergence logic to the quality score. bearish divergence can strengthen a confirmed high. bullish divergence can strengthen a confirmed low. wick rejection filter requires a rejection wick before accepting signals. for highs, the script looks for upper wick rejection. for lows, the script looks for lower wick rejection. min wick percent of candle sets the minimum wick size needed for the wick rejection filter. higher values make the filter stricter. lower values allow more signals. atr exhaustion filter requires price to be extended away from a moving average by an atr-based distance. this helps focus on stronger exhaustion moves. atr length sets the atr calculation length. atr exhaustion multiplier sets how far price must extend from the average before the atr exhaustion filter confirms. structure break filter requires a short structure break to confirm the signal. for highs, price should break below recent structure. for lows, price should break above recent structure. structure break lookback sets how many bars are used to define the recent structure level. visuals glow turns the glow effect around the wave on or off. glow intensity controls the strength of the glow. bull bear gradient fill fills the area between the wave and the midline with a bull or bear gradient. fill transparency controls how visible the gradient fill is. higher transparency makes the fill lighter. lower transparency makes the fill stronger. tint high low zones adds a faint background tint to the high and low areas. color theme selects the visual color style. wizard default bright cyan and red style. ice cool blue theme. inferno warm orange and red theme. toxic green and purple style. markers show high low markers turns all markers on or off. marker labels selects the marker text style. high low uses early high, early low, confirmed high and confirmed low style labels. buy sell uses early buy, early sell, confirmed buy and confirmed sell style labels. these labels are visual references only, not automatic entries. show zone labels right shows high, low and balance labels on the right side of the oscillator. dashboard show dashboard shows or hides the dashboard. position selects the dashboard location. the dashboard displays: current state current oscillator value high score low score detection mode signal types early high an early high appears when the wave leaves the high zone and the high score passes the selected requirements. this means upside pressure may be weakening. it is not a guaranteed top. early low an early low appears when the wave leaves the low zone and the low score passes the selected requirements. this means downside pressure may be weakening. it is not a guaranteed bottom. confirmed high a confirmed high appears when a pivot high is confirmed and the score is strong enough. this signal is more selective but appears later. confirmed low a confirmed low appears when a pivot low is confirmed and the score is strong enough. this signal is more selective but appears later. how to use the alerts the script includes separate alert conditions: early high early low confirmed high confirmed low any early high or low any confirmed high or low for fast monitoring, use early alerts. for cleaner monitoring, use confirmed alerts. for fewer alerts, use only any confirmed high or low. recommended anti-spam setup: use confirmed signals only increase cooldown between signals use balanced or confirmed mode keep pivot right bars at 3 or higher increase the minimum score if there are too many signals recommended beginner alert setup: start with any confirmed high or low use balanced mode set cooldown between signals to 8 or more keep score labels enabled avoid using every alert condition at the same time beginner tutorial step 1: start with balanced mode balanced mode is the best starting point because it avoids being too fast or too strict. step 2: keep the default high and low zones use 80 for the high zone and 20 for the low zone. this gives a clean first reading. step 3: watch the wave position when the wave is above 80, price is stretched toward the high area. when the wave is below 20, price is stretched toward the low area. when the wave is around 50, the market is more balanced. step 4: understand early signals early signals are warnings. early high means a possible local top area may be forming. early low means a possible local bottom area may be forming. do not enter a trade only because an early signal appears. step 5: understand confirmed signals confirmed signals are more selective. confirmed high means a pivot high has been validated. confirmed low means a pivot low has been validated. these signals are slower because the script waits for confirmation. step 6: read the score a score near 50 is weaker. a score near 65 is more acceptable. a score above 75 is stronger. a score above 85 means several filters agree. step 7: confirm on the price chart before using any signal, check: trend direction support and resistance market structure candle close volume reaction risk to reward stop loss location step 8: avoid overloading the chart do not turn on every filter at once at the beginning. start with: balanced mode wick rejection filter on divergence in score on atr exhaustion filter off structure break filter off cooldown enabled after understanding the tool, activate atr exhaustion or structure break if you want stricter signals. example 1: early high price pushes upward and the wave moves above the high zone. then the wave crosses back below the high zone. an early high appears. this means the upward push may be losing strength. a beginner should wait for price rejection or a lower high before considering a short idea. example 2: confirmed high price forms a local high. a few bars later, the pivot is confirmed. the indicator prints confirmed high at the pivot location. this is a stronger reference than an early high, but it appears later. example 3: early low price drops and the wave moves below the low zone. then the wave crosses back above the low zone. an early low appears. this means downside pressure may be weakening. a beginner should wait for support reaction or a higher low before considering a long idea. example 4: confirmed low price forms a local low. a few bars later, the pivot is confirmed. the indicator prints confirmed low at the pivot location. this is a stronger reference than an early low, but it appears later. example 5: using cooldown if the market is volatile, the wave can create several signals close together. cooldown prevents repeated signals from appearing too often. higher cooldown values create a cleaner chart. lower cooldown values create more frequent signals. best use cases spotting potential local highs spotting potential local lows detecting exhaustion zones finding momentum fade areas confirming high and low references with pivots filtering noisy oscillator signals building alerts for reversal watchlists supporting discretionary trading decisions important notes early signals are faster but less confirmed. confirmed signals are more selective but delayed. pivot-based confirmation cannot appear instantly. score is a filter, not a prediction. buy and sell labels are only visual naming options. the indicator should be combined with price action, structure, volume and risk management. risk note this indicator is for technical analysis and educational market study only. it does not provide financial advice, investment advice or guaranteed trading signals. all signals, markers, scores and alerts are references that require independent confirmation and proper risk management.
지표
Alpha_Wizard의
Adaptive Stochastic with Colored Lines and ZonesAdaptive Stochastic with Colored Lines and Zones "Adaptive Stochastic with Colored Lines and Zones" is an enhanced Stochastic Oscillator designed to improve trend visualization and market momentum analysis through dynamic color changes and clearly defined overbought/oversold zones. The indicator automatically adjusts the color of the main Stochastic line according to prevailing market conditions: **Blue** indicates bullish momentum and strengthening upward pressure. **Red** indicates bearish momentum and increasing downward pressure. This visual feedback helps traders quickly assess market direction without adding additional trend-following tools to the chart. Overbought and Oversold Zones The indicator highlights key momentum extremes: * **Above 80** – Strong Overbought Zone * **Below 20** – Strong Oversold Zone These areas can help identify periods of extended market movement, potential pullbacks, or possible reversal conditions when combined with price action and other forms of technical analysis. Applications * Trend identification * Momentum analysis * Confirmation of market direction * Detection of overbought and oversold conditions * Support for entry and exit timing Suitable Markets The indicator can be used across multiple asset classes, including Forex, Cryptocurrencies, Stocks, Indices, and Futures, and is compatible with various trading styles ranging from intraday trading to longer-term trend analysis. Notes As with any technical indicator, Adaptive Stochastic with Colored Lines and Zones should be used as part of a broader trading strategy and not as a standalone signal generator. Combining momentum readings with market structure, support and resistance levels, and risk management techniques may improve decision-making.
지표
AgaKwiatkowska987의
ZENFlow Regime Lite | Market Context GuideZENFlow Regime Lite | Market Context Guide ZENFlow Regime Lite is an open-source market regime and context-reading indicator designed to help traders understand the current market environment before looking for trade setups. The main idea behind this script is simple: Read the market first. Then decide whether the market is trending, ranging, compressing, or unclear. This Lite version is designed as a beginner-friendly market context guide. It does not provide direct entry, stop-loss, or take-profit levels. Instead, it helps users identify the broader condition of the market so they can make more informed decisions using their own trading method. Core Concept Many traders start by asking: Should I buy? Should I sell? Where is the entry? ZENFlow Regime Lite starts from a different question: What kind of market are we in right now? The indicator uses a multi-timeframe context approach. It reads the current chart timeframe together with a higher timeframe context to help classify the market into broad conditions such as trend, range, compression, chop, or breakout-watch environments. What This Indicator Shows HTF Context The higher timeframe context helps users understand the broader market environment. Examples: • Trend Up • Trend Down • Range • Compression • Chop HTF Bias The bias row summarizes whether the higher timeframe favors long, short, range mode, breakout watch, or neutral conditions. Examples: • Long Bias • Short Bias • Range Mode • Wait Breakout • Neutral Trading Timeframe Regime The script also reads the current chart timeframe to show whether the trading timeframe is trending, ranging, compressing, or choppy. Market State The state classification helps users understand the phase of the move. Examples: • Early • Healthy • Mature • Exhaustion Momentum Momentum is based on directional pressure and DI gap behavior. Examples: • Rising • Strong • Fading • Collapsing Energy Energy is based on ATR behavior compared with its baseline. Examples: • Quiet • Normal • Expanding • Extreme Guide The Guide row provides a broad market-reading suggestion. Examples: • Follow Long Bias • Follow Short Bias • Avoid Chase • Range Market • Wait Breakout • Wait The Guide is not an entry signal. It is a market-context summary. Calculation Logic ZENFlow Regime Lite combines several market components: • ADX and DI Used to detect trend strength and directional pressure. • Bollinger Band Width Used to identify range and compression conditions. • ATR and ATR Baseline Used to measure volatility and market energy. • Stochastic Used as part of state and exhaustion interpretation. • Multi-Timeframe Context Used to compare the current chart timeframe with a higher timeframe environment. The purpose of combining these components is to avoid reading price action from a single signal only. The script is designed to provide a broader context before trade planning. How to Use Start with HTF Context Check whether the higher timeframe is trending, ranging, compressing, or choppy. Read HTF Bias Use this to understand whether the broader environment favors long, short, range, breakout watch, or neutral behavior. Check the Trading Timeframe Compare the current chart timeframe with the higher timeframe. Alignment between both timeframes usually provides a cleaner reading. Read State, Momentum, and Energy These rows help determine whether the current move is still developing, healthy, late, or losing strength. Use the Guide row carefully The Guide row is only a broad context suggestion. It should not be treated as an automatic buy or sell instruction. Suggested Interpretation A stronger long-side context may appear when: • HTF Bias favors Long • Trading timeframe is also Trend Up • State is Early or Healthy • Momentum is Rising or Strong • Energy is Normal or Expanding A stronger short-side context may appear when: • HTF Bias favors Short • Trading timeframe is also Trend Down • State is Early or Healthy • Momentum is Rising or Strong • Energy is Normal or Expanding A caution condition may appear when: • State is Mature or Exhaustion • Momentum is Fading or Collapsing • Energy is Extreme • The market is in Range, Compression, or Chop • Price has already moved too far and the Guide shows Avoid Chase What This Lite Version Does Not Include This Lite version is intentionally limited to broad market-regime reading. It does not include: • Final Plan • Action row • ZSS setup events • CHoCH / BOS engine • Liquidity target engine • Entry / Stop-loss / Take-profit planner • Tactical reversal layer • Trade execution system This keeps the script simple, educational, and suitable for users who want to learn how to read market context first. Alerts The script includes broad context alerts such as: • Follow Long Bias • Follow Short Bias • Avoid Chase • Range Market • Wait Breakout • Wait These alerts are designed to notify users when the market context changes. They are not standalone trade signals. Recommended Use ZENFlow Regime Lite can be used as: • A market-regime dashboard • A trend/range/compression context reader • A top-down market filter • A learning tool for reading market condition • A companion to a trader’s own entry method Limitations This indicator does not predict future price movement. It does not guarantee profitable trades. It does not replace risk management. It should not be used as a standalone trading system. Market behavior can change quickly, especially during news events, low-liquidity periods, or highly volatile conditions. All trading decisions remain the responsibility of the user. Educational Use Only This script is intended for educational and analytical use only. It is not financial advice. ────────────────────
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zenflowsystem의
Doble Estocastico (M15 y M30 en M1)Oscilador Estocástico doble diseñado específicamente para gráficos de 1 minuto (M1). El indicador normaliza y escala matemáticamente las longitudes temporales para visualizar la estructura y los giros de momentum de temporalidades mayores (M15 y M30) de forma fluida y dinámica, eliminando el efecto escalonado de las funciones MTF nativas. ​Configuración integrada (Proporción 10, 14, 3): ​Líneas Rojas (M15): Longitud %K de 150 periodos, suavizado %K de 14 y %D de 3. ​Líneas Azules (M30): Longitud %K de 300 periodos, suavizado %K de 14 y %D de 3. ​Niveles: Bandas estándar de sobrecompra en 80 y sobreventa en 20. ​Ideal para optimizar el espacio de trabajo en cuentas con límites de indicadores, agrupando dos osciladores clave en un único panel inferior.
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jdam1089의
Smart Stochastic Prosmart stochastic pro is a momentum oscillator built to read stochastic structure, buying and selling pressure, and multi-timeframe bias in one clean panel. the script is designed for traders who want a visual way to track when the market is stretched, when pressure starts to shift, and when a reversal setup becomes more interesting. it does not predict price and it should not be used alone. it is meant to support analysis together with price action, market structure, support and resistance, volume, and risk management. what the script does smart stochastic pro uses a smoothed stochastic engine to create rounded %k and %d curves. the goal is to reduce visual noise while keeping the oscillator responsive enough for intraday and swing analysis. the script includes: * a smoothed stochastic %k and %d * extreme overbought and oversold zones * buying and selling pressure based on candle position and volume * optional mtf calculation modes * reversal detection after extreme zones * optional candle coloring * a compact dashboard * visual pressure zones and signal labels how to use it add the script to a normal candlestick chart. for the clearest reading, start with the default settings and use a liquid market such as major crypto pairs, forex pairs, indices, or large-cap stocks. the oscillator moves between 0 and 100. basic reading: * above 80 means price is in an overbought area * below 20 means price is in an oversold area * above 90 means extreme overbought * below 10 means extreme oversold * the 50 line is the neutral zone * %k above %d shows bullish momentum * %k below %d shows bearish momentum the script works best when you do not take every cross. the main idea is to wait for a strong area first, then look for a confirmed shift. beginner workflow 1. start on the chart mode use: calculation / visual mode: chart this uses the current chart timeframe and is the easiest mode to understand. 2. wait for an extreme zone for bullish setups, watch for %k to move into the extreme oversold area. for bearish setups, watch for %k to move into the extreme overbought area. this arms the setup. it does not mean enter immediately. 3. wait for confirmation a bullish reversal becomes more interesting when: * %k crosses above %d * the oscillator starts rising * buying pressure improves * the signal appears after an oversold expansion a bearish reversal becomes more interesting when: * %k crosses below %d * the oscillator starts falling * selling pressure improves * the signal appears after an overbought expansion 4. check the pressure the pressure background and ribbons help show whether buyers or sellers are gaining control. green pressure means buying is stronger. red pressure means selling is stronger. neutral pressure means the market may still be undecided. 5. use the dashboard the dashboard summarizes: * active mode * current bias * mtf bias * slope * oscillator zone * buying or selling pressure * %k and %d values * signal strength * armed state for beginners, the most useful dashboard rows are state, zone, pressure, and armed. recommended settings for beginners: * calculation / visual mode: chart * require explosion first: true * minimum confluence strength: 2 * hide mid-range noise: true * show pressure: true * show dashboard: true * candle color: off at first for cleaner signals: * require explosion first: true * minimum confluence strength: 3 * hide mid-range noise: true * mtf bias filters signals: true for faster signals: * require explosion first: false * minimum confluence strength: 2 * hide mid-range noise: true for multi-timeframe use: mtf strict shows the oscillator calculated directly from the selected higher timeframe. mtf bias keeps the chart oscillator smoother while using the higher timeframe as a directional filter. a simple setup is: * chart timeframe: 5m or 15m * mtf timeframe: 1h * mtf bias filters signals: true where to use it the script can be used on: * crypto * forex * indices * stocks * futures it is usually cleaner on markets with good liquidity and enough volume. low-volume markets can create noisy pressure readings and weaker signal quality. timeframes for scalping, try 1m to 5m, but expect more noise. for intraday trading, 5m to 30m is usually easier to read. for swing trading, 1h to 4h gives slower but cleaner signals. how not to use it do not buy only because the oscillator is oversold. do not sell only because the oscillator is overbought. do not use one signal without checking market structure. do not use it as a guaranteed entry system. do not ignore risk management. best practice use the script as a timing and confirmation tool. a stronger bullish setup usually has: * price near support or after a liquidity sweep * %k coming from oversold or extreme oversold * buying pressure improving * bullish signal strength at least 2 or 3 * mtf bias not fighting the trade a stronger bearish setup usually has: * price near resistance or after a failed breakout * %k coming from overbought or extreme overbought * selling pressure improving * bearish signal strength at least 2 or 3 * mtf bias not fighting the trade alerts alerts are available for: * bullish reversal after extreme oversold * bearish reversal after extreme overbought * extreme oversold * extreme overbought * pressure flip bullish * pressure flip bearish use alerts as reminders to check the chart, not as automatic trade entries. notes this script is an analysis tool. it does not guarantee results. all signals should be reviewed with price action, trend context, volatility, and personal risk rules before making a trade decision.
지표
Alpha_Wizard의
Stochastic Histogram Regime [Gabremoku]Stochastic Histogram Regime is a refined Stochastic-based momentum oscillator that transforms classic %K / %D logic into a mid-centered histogram regime model with adaptive zones, squeeze detection, and sequential BUY/SELL signaling. Instead of using the traditional 0–100 Stochastic layout alone, this script recenters the oscillator around its midline and highlights: momentum expansion and recovery phases adaptive extreme zones K/D compression regimes sequential crossover signals squeeze-aware signal styling a compact live dashboard The Stochastic Oscillator measures where the current close sits relative to its recent price range, and its two core lines — %K and %D — are commonly used to spot momentum shifts, overbought/oversold conditions, and crossover signals. What it shows 📊 Mid-centered stochastic histogram — instead of plotting Stochastic only in its standard form, the script centers the histogram around the 50 level so bullish and bearish pressure become easier to compare visually. 📈 %K line and ghost %D line — the main momentum line stays visually dominant, while %D acts as a softer confirmation layer. 🎯 Adaptive zones — rather than relying only on static 80/20 thresholds, the script calculates percentile-based extreme zones from recent Stochastic behavior. Traditional Stochastic readings above 80 are often considered overbought and readings below 20 oversold, but adaptive thresholds can better reflect changing market behavior. 🗜️ Combined squeeze regime — the script measures both: compression around the midline compression between %K and %D This creates a composite squeeze state that helps identify low-momentum contraction phases before expansion. 🚦 Sequential BUY/SELL state machine — primary signals are filtered through K/D crossover logic, slope confirmation, and optional extreme-zone requirements. 🔺 Follow-up triangles — repeated same-direction confirmations after the first primary signal can be shown as lighter continuation markers. 🪧 Minimal dashboard — displays state, K/D values, adaptive zone range, slope, and squeeze status. Core logic The script is built around the idea that the Stochastic Oscillator is not just an overbought/oversold tool, but a momentum regime detector. Classic Stochastic compares the latest close to the recent high-low range and is typically interpreted through: %K and %D crossovers movement around 80/20 zones and changes in momentum before price fully reacts Your script extends that by: recentering the oscillator around 50 using histogram structure for directional emphasis adapting extreme zones to recent behavior and combining crossover quality with slope and squeeze context This makes it more structured than a standard Stochastic display. State model The indicator classifies momentum into five readable states: Bull Impulse Bull Recovery Bear Impulse Bear Recovery Neutral This adds nuance to the usual Stochastic reading because it separates: strong directional continuation weaker recovery phases and non-directional compression In practice: Bull Impulse suggests K is above D, above the mid-neutral area, and still rising Bear Impulse suggests K is below D, below the mid-neutral area, and still falling recovery states identify improving momentum before full expansion Signal logic The script uses a filtered signal engine based on %K / %D crossovers, which are among the most common Stochastic signals. Primary BUY and SELL signals can be filtered by: extreme zone location K slope confirmation signal mode: Aggressive, Balanced, or Strict This helps reduce the classic problem of noisy Stochastic crossovers in sideways conditions. Stochastic crossovers are useful, but they generally become more meaningful when combined with trend or momentum context rather than taken in isolation. How to read it A practical reading method is: Use the histogram around the midline to read directional pressure. Use adaptive zones to identify statistically stretched momentum. Use %K / %D crossovers for trigger logic. Use the squeeze state to identify contraction before expansion. Treat follow-up triangles as continuation confirmation, not as fresh primary entries. In general: positive histogram with rising K = improving bullish momentum negative histogram with falling K = improving bearish momentum squeeze ON = compressed momentum regime BUY/SELL labels = primary filtered crossover signals Features ✅ Mid-centered stochastic histogram ✅ %K and ghost %D structure ✅ Percentile-based adaptive extreme zones ✅ Neutral zone around the 50 midline ✅ Composite squeeze detection ✅ Sequential BUY / SELL state machine ✅ Optional follow-up continuation markers ✅ Overlay and pane signal display options ✅ Minimal live dashboard ✅ Alert conditions for BUY, SELL, and squeeze state Notes This indicator is designed to improve the readability of Stochastic momentum structure, especially in transitions between compression, recovery, and impulse phases. Like all Stochastic-based tools, it can produce noisy signals in choppy markets, and overbought/oversold readings should generally be interpreted as momentum context rather than automatic reversal calls. Author: Gabremoku Pine Script v6
지표
Gabremoku의
ANN Reversal Candle FinderStochastic Reversal Candle Finder This indicator identifies potential reversal candles using Stochastic %K as a filter. It enters bull mode when %K crosses below 20, then tracks the lowest candle in that zone, finds the nearest prior bearish candle whose high exceeds the low candle's high, and draws a dashed resistance line. A bull reversal signal triggers when price closes above that line. Bear mode works in reverse — triggered when %K crosses above 80, tracking the highest candle, referencing a prior bullish candle's low as support, and signaling when price closes below it. Both modes remain active and continue scanning for new setups until %K crosses to the opposite extreme.
지표
hatairat29의
Swing from stochastic with alertStochastic ZigZag — How It Works This indicator uses the Stochastic %K (9,3,3) to identify and confirm Swing Highs and Swing Lows on the price chart, then connects them with a ZigZag line. Swing Detection Logic When %K crosses below 20 → enters "seeking Low" mode, tracking the lowest price. Once %K crosses above 80, that lowest point is confirmed as a Swing Low (SL) When %K crosses above 80 → enters "seeking High" mode, tracking the highest price. Once %K crosses below 20, that highest point is confirmed as a Swing High (SH) If the same swing type repeats before the opposite appears, only the more extreme value is kept Visual Output ZigZag line connecting alternating SH and SL points (customizable color, width, style) Tiny SH / SL labels at each confirmed swing point Dashed horizontal level lines extending right from each confirmed SH and SL (last 3 of each shown); a level line ends at the bar where price closes through it
지표
hatairat29의
Stochastic with label OVS/OVB Stochastic Oscillator A Stochastic Oscillator indicator with OVB (Overbought) and OVS (Oversold) signal labels displayed beneath the price chart. The indicator uses two momentum lines — a blue %K line and an orange %D signal line — fluctuating between the 20 and 80 levels to identify market momentum and potential reversal zones. Red “OVB” labels appear when the oscillator enters the overbought region above 80, signaling possible bearish exhaustion, while green “OVS” labels appear below 20, indicating potential bullish reversal opportunities. The indicator is designed to help traders detect momentum shifts, trend weakness, and short-term entry or exit signals in fast-moving markets such as XAU/USD.
지표
choping의
Dynamic Time Warped Stochastic. Arc-Lenght Stochastic Oscillator𝐓𝐇𝐄 𝐀𝐑𝐂-𝐊𝐈𝐍𝐄𝐌𝐀𝐓𝐈𝐂 𝐎𝐒𝐂𝐈𝐋𝐋𝐀𝐓𝐎𝐑: 𝐁𝐞𝐲𝐨𝐧𝐝 𝐂𝐡𝐫𝐨𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐓𝐢𝐦𝐞OverviewFor decades, the standard approach to measuring market momentum has relied on a fatal flaw: chronological time. Traditional oscillators force a rigid, fixed lookback window onto an environment that is fundamentally non-linear. When volatility compresses, chronological indicators generate false signals from microscopic chop. When volatility expands, they lag.This tool abandons chronological time. Instead, it processes market structure through a topological lens, measuring the actual path traversed by price action rather than the arbitrary ticking of a clock. It is an exploration of market kinematics designed to filter out spurious noise and identify true regime shifts.Under the Hood: The Mechanics of Topological Data AnalysisThis is not a smoothed RSI or a standard stochastic oscillator. The underlying engine operates on principles derived from digital signal processing and econophysics.Time-Dilated Lookback: Instead of a fixed N-period lookback, the calculation matrix expands and contracts dynamically. It measures the geometric arc-length (ds) of the price vector. During tight, sideways consolidation, the window stretches to absorb the noise. During explosive expansion, the window shrinks, snapping to the current regime with near-zero lag.Kinematic Tokenization: The script analyzes the primary and secondary derivatives of price to understand the velocity and acceleration of the order flow, separating true institutional displacement from retail trap-moves.Advanced Signal Processing: To present this data cleanly, the raw kinematic output is passed through a multi-pole Gaussian filtration system and a non-linear bounding transform. This creates a hyper-responsive oscillator that maps purely between +1 and -1 remaining completely flat during untradeable chop and only oscillating when true structural momentum is present. How to Use This Tool This indicator does not predict the future. It categorizes the present.Regime Identification: Observe the boundaries. When the oscillator is pinned at the extremes, the market is in a dominant, unidirectional regime. Divergence against Time: Because the tool operates outside of chronological time, standard divergences (price making a higher high while the oscillator makes a lower high) carry significantly higher structural weight than those found on traditional indicators.Confluence: Use this as a confirming layer. It is designed to validate structural market shifts, identifying when a swept level or a break in market structure has the underlying mathematical velocity to sustain a new trend.DisclaimerThis script is published strictly for educational and analytical purposes. It is a mathematical exploration of market topology and signal processing. It does not constitute financial advice, nor does it guarantee profitable trades. Past performance of mathematical models does not guarantee future market behavior. Always use strict risk management.
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mjrodriguezorlich69의
8
Moving Average GradientThe 'Moving Average Gradient' (MAG) is basically a measure of the gradient of a moving average. Firstly a moving average (SMA or EMA) is overlayed onto the chart. Then the gradient of this moving average is calculated and plotted below. An optional smoothing average is also applied to the gradient. This MAG is my own invention and is entirely new, as far as I know. I've found it to be useful for divergences. It can also be quite similar to the Stochastic, and works well taking a BUY signal when the gradient crosses over its moving average, and SELL when it crosses under. In fact I backtested both this MAG, and the Stochastic as a comparison, within a strategy using the above signals, and the MAG delivered better results. The strategy on BTCUSD 15 minute also included: * 4hr MACD Signal change > 0.0034 % * 4hr MACD Signal value < 0.5 % ...for BUY, with the opposite for SELL. And if you think that strategy involved writing Pine Script code, then you're probably not familiar with my suite of strategy tools published on here. I was able to very quickly and easily create and backtest that strategy without writing any code at all, using just: * MAG or Stochastic * MACD * Simple BUY/SELL Indicator - to create the strategy rules using the above indicators (or I could've used my Custom BUY/SELL Indicator) * Simple Pyramid Strategy - to run the backtesting strategy (or I could've used my Complex Single Trade Strategy)
지표
JustinTimeTunes의
DSS Bressert - Trend, Valuation & Equity | Astral Vision DSS Bressert - Trend, Valuation & Equity | Astral Vision 🌠💠 The Double Smoothed Stochastic, developed by William Bressert, applies a double layer of EMA smoothing to a standard stochastic oscillator, producing a signal that is significantly less noisy than raw stochastics while retaining sensitivity to momentum shifts. The result oscillates between 0 and 100, with crossovers between the DSS line and its trigger EMA identifying trend changes at the selected resolution. This indicator extends the standard DSS with three distinct analytical layers: Trend mode colors by bull/bear regime established at each DSS/trigger crossover, persisting the signal until the next cross. Extremes mode activates only at overbought and oversold zones, filtering the middle ground. The Equity view simulates a long-only strategy that holds when the DSS is in a bullish regime and exits to cash otherwise, displaying a cumulative equity curve alongside the price chart, translating the signal's historical performance into a directly readable return series. Calculation ⚙️ `xPreCalc = EMA(Stochastic(close, high, low, period), EMAlen)` `DSS = EMA(Stochastic(xPreCalc, xPreCalc, xPreCalc, period), EMAlen)` `Trigger = EMA(DSS, TriggerLen)` A bull regime is established when DSS crosses above the trigger and persists until the next bearish cross. In No Repaint mode, crossover signals are shifted by one bar to prevent intrabar repainting. The equity curve compounds close-to-close returns only during confirmed bullish regime bars, starting from a user-defined year at a base value of 100. Plots 📊 DSS line and trigger line in the indicator panel, colored by active mode and regime (Indicator view) Overbought and oversold threshold lines (Indicator view) Equity curve starting from the configured year (Equity view) Candle coloring on the price chart by DSS regime in both views Inputs 🎛️ `View`: Indicator (DSS oscillator) or Equity (cumulative strategy curve) `Mode`: Trend (regime-persistent coloring) or Extremes (overbought/oversold zones only) `No Repaint`: shifts crossover signals one bar forward to eliminate intrabar repainting (Trend mode only) `Equity Start Year`: anchor year for equity curve initialization (default 2019) `Period`: stochastic lookback for both smoothing stages (default 10) `EMA Length`: smoothing applied to each stochastic stage (default 9) `Trigger EMA`: EMA of the DSS line used as crossover signal (default 5) `Overbought / Oversold`: threshold levels for Extremes mode (defaults 90 / 10) `Resolution`: timeframe at which DSS is computed (default 60 minutes) Colors 🎨 5 Astral Vision presets + custom override. Default: Paradiso. In Trend mode, positive color applies during bullish regimes and negative during bearish. In Extremes mode, positive color activates at overbought and negative at oversold, with neutral between thresholds. Purpose 🎯 Standard stochastic indicators generate excessive crossover noise, particularly on lower timeframes, making regime identification unreliable without significant manual filtering. The double smoothing of the DSS reduces that noise substantially, but most implementations still present only a raw oscillator with no mechanism for translating the signal into a persistent regime read or a measurable performance track record. This indicator addresses both gaps. The Trend mode converts the DSS crossover into a persistent regime signal that remains active until explicitly invalidated, removing ambiguity about the current directional bias. The Equity view goes further: rather than asking the trader to visually backtest the signal, it computes and displays the cumulative return of following the DSS regime directly on the chart, making the signal's historical value immediately quantifiable without any external tools. The configurable resolution allows the same indicator to serve as both an intraday momentum tool and a macro trend filter depending on the selected timeframe. Disclaimer ⭕️ It is not financial advice, not an investment recommendation, and not affiliated with any financial institution, research firm, or organization of any kind. All content is provided for educational and informational purposes only. Always conduct your own research before making any financial decision.
지표
AstralVision의
R&D Indicator 2.15This is a dual-line momentum indicator that combines two complementary oscillator calculations to provide both trend direction and early impulse detection on a single panel. How it works: The white line is a smoothed Stochastic %D that tracks the broader momentum cycle. It moves slowly and deliberately, making it useful for identifying the prevailing trend direction and overbought/oversold conditions. The yellow line is a Double Stochastic Oscillator (DSO) that is more reactive to price changes. When the yellow line reaches the extreme zones (above 80 or below 20) and turns back, it acts as an early warning signal for a potential continuation impulse in the direction of the trend. Key features: Overbought zone (above 80) shaded in red Oversold zone (below 20) shaded in green Dotted midline at 50 for reference Full customization of line colors, thickness and style All settings adjustable including period lengths, zone levels and background transparency
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SpecialK79의