[ BETA ][ IND ][ LIB ] Dynamic LookBack RSI RangeGet visual confirmation with this indicator if the current range selected had been oversold or overbough in the latest n bars
Overbought
RSI OB/OS TrackerRSI OB/OS Tracker – Find Overbought & Oversold Assets Easily!
Are you looking for trading opportunities in overbought (OB) or oversold (OS) zones? The RSI OB/OS Tracker indicator helps you monitor multiple assets simultaneously, identifying potential pullbacks or reversals based on RSI conditions!
🔍 Key Features:
✅ Track Multiple Asset Lists – Choose from 3 predefined lists (Forex, Crosses, Indices, Commodities).
✅ Custom OB/OS Levels – Adjust RSI thresholds (default: 70/30) to fit your strategy.
✅ Multi-Timeframe Analysis – Check RSI conditions on any timeframe, independent of your chart.
✅ Real-Time Alerts – Set up TradingView alerts for each asset list separately, even if the indicator is removed from your chart!
✅ Clean & Efficient Display – A simple table shows the current OB/OS status for all assets, with the list number (1, 2, or 3) visible for easy reference.
📊 How It Works:
The indicator scans all assets in the selected list.
If an asset enters OB (Overbought) or OS (Oversold), it highlights in the table.
You can set alerts to notify you when a new signal appears, helping you catch potential reversals early!
⚡ Perfect For:
Swing Traders looking for pullback opportunities.
Reversal Traders spotting extreme RSI conditions.
Multi-asset traders who need a quick overview of market conditions.
📌 Try it now and never miss an OB/OS opportunity again!
👉 Get the RSI OB/OS Tracker on TradingView today!
#TradingView #RSI #Overbought #Oversold #Pullback #Reversal #Forex #Stocks #Indices #TradingIndicator
MACD Triple divergence signalsThis script is a basic combination of several scripts that I found very useful. It's a MACD divergence on steroids. Instead of using only one plot as a source for detecting divergence, I use all of the plots.
The idea is that if more divergence signals appear—especially after a prolonged downtrend or uptrend—they can be interpreted as a strong divergence signal.
The third divergence signal is taken from the MACD signal line. It has a longer-term lookback range, which could provide a more reliable divergence signal.
The default minimum lookback range is 15, much greater than the usual value of 5. This makes it more suitable for long-term trading or for lower timeframes (lower than 4H) to reduce noise from excessive signals. For timeframes higher than 4H, the setting can be reduced to around 10 or even 5.
For the 1W (weekly) timeframe, try using a value of 3.
I also added a band to give a clear visual of overbought and oversold areas. It works similarly to Bollinger Bands (BB). You can spot when the price is ranging or when a stop-loss hunt occurs (i.e., the price breaks the band).
Please do your homework—backtest it yourself to find which timeframe suits you best. You can also tweak the settings if you find the default values too aggressive or too mild.
I’ve found that MACD is more reliable on timeframes greater than 1H. Personally, I use it on the 4H and 1D timeframes.
in bahasa:
MACD dengan 3 sinyal divergence, kalau muncul lebih banyak, bisa jadi sinyal lebih menyakinkan.
Minimum lookback range default-nya 15 agar tidak muncul terlalu banyak sinyal. 15 lebih panjang, lebih ok. Kalau main di higher timeframe seperti 1D, bisa 5-10, kalau weeky timeframe = 3.
Untuk band, cek ketika plot-nya keluar dari band, itu bisa jadi jackpot, apalagi kalau plot-nya membentuk double bottom.
Backtest sendiri, siapa tahu kalian bisa dapet setting sendiri.
MACD with upper and lower band will give you a clear visual of price movements
More divergence signals are generated and when the price breaks out of the oversold band = jackpot.
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
2x4x Stochastic2x4x Stochastic (with signal boxes, triggers, and %D display)
This indicator visualizes four Stochastic %D lines (D1–D4) along with their corresponding higher timeframe (HTF) versions, all scaled into separate sections of the same pane. It provides clear visual signals when all local and HTF stochastics are either overbought or oversold.
Key features:
4 customized stochastic %D calculations: D1 (9,1,3), D2 (14,1,3), D3 (40,1,4), D4 (60,1,10)
Automatic or manual higher timeframe selection
Signal box appears when all 8 stochastics are above overbought or below oversold thresholds (Standard mode)
Optional white line marks end of signal box
Optional green/red dotted line when HTF stochastic breaks defined trigger level after a signal box
Adjustable OB/OS levels for LTF and HTF separately (e.g., 15/85 or 10/90)
Full alarm system with time filter (e.g. 09:00–22:00) for box start, box end, and white line
This version uses only the Standard logic for signals – no alternative modes. Clean, stable, and optimized for performance.
Aqua MTF Stochastic Oscillator——————————————————————————————————————————————————————————
The Aqua Multi-Timeframe (MTF) Stochastic Oscillator is a comprehensive momentum analysis tool that synthesizes
stochastic data from up to five distinct, user-configurable sources and timeframes into a single, unified view.
--- CORE CONCEPT ---
Traditional oscillators provide insight into one specific timeframe. This indicator overcomes that limitation by
aggregating momentum readings from multiple timeframes. The core principle is to gauge the confluence of momentum
across different market cycles. A strong trend is often characterized by aligned momentum across short-term,
medium-term, and long-term perspectives. This tool visualizes that alignment in a clear, intuitive oscillator.
--- METHODOLOGY ---
For each of the five analysis slots, the script calculates the Stochastic %K line and its corresponding %D signal line.
To allow for direct comparison and weighting, each of these standard 0-100 oscillator values is then normalized
to a bipolar scale of -100 to +100, where 0 represents the neutral midline.
These normalized scores are then blended, according to user-defined weights, into two master composite lines:
1. A master "Score Line" representing the weighted average of the raw %K momentum values.
2. A master "Signal Line" representing the weighted average of the smoothed %D signal values.
--- KEY FEATURES ---
• Multi-Timeframe & Multi-Symbol Analysis: Configure up to five slots, each with its own symbol, timeframe, price source, and stochastic settings.
• Normalized Momentum Scale: All stochastic values are re-scaled to a -100 to +100 range, providing a standardized measure of momentum. Values above 0 indicate bullish momentum, while values below 0 indicate bearish momentum.
• Weighted Composite Score: User-defined weights allow for prioritizing certain timeframes, creating a custom-tailored final momentum reading.
• Dynamic Color-Coding: The color of the master Score Line and each individual timeframe's line instantly changes based on its position relative to its signal line (%K vs. %D). This provides immediate visual feedback on momentum acceleration (bullish) or deceleration (bearish).
--- HOW TO INTERPRET ---
• Crossovers: The interaction between the master Score Line and the Signal Line can be used to identify potential shifts in momentum, similar to a traditional MACD.
• Line Color: The color of the master Score Line itself serves as a primary signal. A bullish color indicates that overall raw momentum is leading smoothed momentum, and vice-versa.
• Overbought/Oversold Levels: Extreme readings near the +100 or -100 levels suggest that the aggregated momentum may be overextended and due for a reversion.
• Zero Line Crosses: When the oscillator crosses above the zero line, it signals that the balance of momentum has shifted to positive territory. A cross below zero signals a shift to negative territory.
• Divergence: Look for divergences where price makes a new high or low, but the oscillator fails to confirm it. This can often signal a pending reversal.
Author: Aquaritek
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Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets.
How It Works?
The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled.
Why Use the ICO?
Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends.
Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals.
Hedging: Identify negatively correlated assets to balance your portfolio.
Market Insights: Understand how assets like stocks, bonds, or crypto interact.
Easy Steps to Use the ICO in TradingView
Add the Indicator:
Open TradingView and load your chart (e.g., AAPL on a daily timeframe).
Go to the Pine Editor at the bottom of the TradingView window.
Copy and paste the ICO script provided earlier.
Click "Add to Chart" to display the oscillator below your price chart.
Configure Settings:
Click the gear icon next to the indicator’s name in the chart pane to open settings.
Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY.
Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis.
Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals.
Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity.
Interpret the Oscillator:
Above +0.8: Strong positive correlation (red zone). Assets move together.
Below -0.8: Strong negative correlation (green zone). Assets move oppositely.
Near 0: No clear relationship (midline reference).
Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts.
Set Up Alerts:
Right-click the indicator, select "Add Alert."
Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts.
Configure notifications (e.g., email, SMS) to stay informed.
Apply to Trading:
Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high).
Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation).
Combine with other indicators like RSI or moving averages for stronger signals.
Tips for New Users
Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations.
Test on a demo account to understand signals before trading live.
Be aware that correlation is a lagging indicator; confirm signals with price action.
If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format).
The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation.
🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods:
Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin
Optional Smoothing: Applies simple moving average (SMA) to reduce noise
Status Classification: Categorizes market conditions into four distinct states
Signal Generation: Produces trading signals based on MVRV thresholds
Price Estimation: Calculates estimated realized price (Current price / MVRV ratio)
Historical Context: Compares current values to historical extremes
Formula:
MVRV Ratio = Market Value / Realized Value
Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length)
Estimated Realized Price = Current Price / MVRV Ratio
Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100
Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100
🔶 DETAILS Visual Features:
MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued)
Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8)
Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued)
Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context
Interpretation:
MVRV ≥ 3.5: Potential market top, strong sell signal
MVRV ≥ 2.5: Overvalued market, consider selling
MVRV 1.5-2.5: Neutral market conditions
MVRV 1.0-1.5: Fair value, consider buying
MVRV < 1.0: Potential market bottom, strong buy signal
🔶 EXAMPLES
Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued.
Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits.
Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities.
Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation.
Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states.
Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle.
Realized Price Support: The estimated realized price often acts as a significant
support/resistance level during market transitions.
Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points.
🔶 SETTINGS
Customization Options:
Smoothing: Toggle smoothing option and adjust smoothing length (1-50)
Table Display: Show/hide the information table
Table Position: Choose between top right, top left, bottom right, or bottom left positions
Visual Elements: All plots, lines, and background highlights can be customized for color and style
The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
Candle Breakout Oscillator [LuxAlgo]The Candle Breakout Oscillator tool allows traders to identify the strength and weakness of the three main market states: bullish, bearish, and choppy.
Know who controls the market at any given moment with an oscillator display with values ranging from 0 to 100 for the three main plots and upper and lower thresholds of 80 and 20 by default.
🔶 USAGE
The Candle Breakout Oscillator represents the three main market states, with values ranging from 0 to 100. By default, the upper and lower thresholds are set at 80 and 20, and when a value exceeds these thresholds, a colored area is displayed for the trader's convenience.
This tool is based on pure price action breakouts. In this context, we understand a breakout as a close above the last candle's high or low, which is representative of market strength. All other close positions in relation to the last candle's limits are considered weakness.
So, when the bullish plot (in green) is at the top of the oscillator (values above 80), it means that the bullish breakouts (close below the last candle low) are at their maximum value over the calculation window, indicating an uptrend. The same interpretation can be made for the bearish plot (in red), indicating a downtrend when high.
On the other hand, weakness is indicated when values are below the lower threshold (20), indicating that breakouts are at their minimum over the last 100 candles. Below are some examples of the possible main interpretations:
There are three main things to look for in this oscillator:
Value reaches extreme
Value leaves extreme
Bullish/Bearish crossovers
As we can see on the chart, before the first crossover happens the bears come out of strength (top) and the bulls come out of weakness (bottom), then after the crossover the bulls reach strength (top) and the bears weakness (bottom), this process is repeated in reverse for the second crossover.
The other main feature of the oscillator is its ability to identify periods of sideways trends when the sideways values have upper readings above 80, and trending behavior when the sideways values have lower readings below 20. As we just saw in the case of bullish vs. bearish, sideways values signal a change in behavior when reaching or leaving the extremes of the oscillator.
🔶 DETAILS
🔹 Data Smoothing
The tool offers up to 10 different smoothing methods. In the chart above, we can see the raw data (smoothing: None) and the RMA, TEMA, or Hull moving averages.
🔹 Data Weighting
Users can add different weighting methods to the data. As we can see in the image above, users can choose between None, Volume, or Price (as in Price Delta for each breakout).
🔶 SETTINGS
Window: Execution window, 100 candles by default
🔹 Data
Smoothing Method: Choose between none or ten moving averages
Smoothing Length: Length for the moving average
Weighting Method: Choose between None, Volume, or Price
🔹 Thresholds
Top: 80 by default
Bottom: 20 by default
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
Price Change Sentiment Index [tradeviZion]Price Change Sentiment Index
A technical indicator that measures price changes relative to the day's range.
Indicator Overview
Normalizes price changes on a 0-100 scale
Uses a smoothing period for signal clarity
Shows potential overbought/oversold conditions
Inputs
Smoothing Period (default: 3)
Show Background Colors (on/off)
Overbought Level (default: 75)
Oversold Level (default: 25)
Reading the Indicator
Values above 75: Price change showing strong upward movement
Values below 25: Price change showing strong downward movement
Around 50: Neutral price movement
Technical Details
// Core calculation
changePct = (currClose - prevClose) / (high - low)
normalized = 50 + (changePct * 50)
smoothedNormalized = ta.sma(normalizedClamped, smoothingPeriod)
Usage Notes
Best used with other technical analysis tools
Adjustable smoothing period affects signal sensitivity
Background colors highlight extreme readings
Works on any timeframe
Settings Guide
Smoothing Period:
- Lower values (1-3): More responsive
- Higher values (5-10): Smoother output
Visual Settings: Toggle background colors
Levels: Adjust overbought/oversold thresholds
This indicator is a technical analysis tool. Please conduct your own research and testing before use.
Quad Rotation StochasticQuad Rotation Stochastic
The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators.
Why this indicator is useful:
Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals.
Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early.
Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues.
ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups.
Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities.
Why this indicator is unique:
Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic.
Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association.
Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs.
Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset.
Example Usage: Trading Bitcoin with Quad Rotation Stochastic
When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color.
If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade.
Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs.
By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
RSI Candlestick Oscillator [LuxAlgo]The RSI Candlestick Oscillator displays a traditional Relative Strength Index (RSI) as candlesticks. This indicator references OHLC data to locate each candlestick point relative to the current RSI Value, leading to a more accurate representation of the Open, High, Low, and Close price of each candlestick in the context of RSI.
In addition to the candlestick display, Divergences are detected from the RSI candlestick highs and lows and can be displayed over price on the chart.
🔶 USAGE
Translating candlesticks into the RSI oscillator is not a new concept and has been attempted many times before. This indicator stands out because of the specific method used to determine the candlestick OHLC values. When compared to other RSI Candlestick indicators, you will find that this indicator clearly and definitively correlates better to the on-chart price action.
Traditionally, the RSI indicator is simply one running value based on (typically) the close price of the chart. By introducing high, low, and open values into the oscillator, we can better gauge the specific price action throughout the intrabar movements.
Interactions with the RSI levels can now take multiple forms, whether it be a full-bodied breakthrough or simply a wick test. Both can provide a new analysis of price action alongside RSI.
An example of wick interactions and full-bodied interactions can be seen below.
As a result of the candlestick display, divergences become simpler to spot. Since the candlesticks on the RSI closely resemble the candlesticks on the chart, when looking for divergence between the chart and RSI, it is more obvious when the RSI and price are diverging.
The divergences in this indicator not only show on the RSI oscillator, but also overlay on the price chart for clearer understanding.
🔹 Filtering Divergence
With the candlesticks generating high and low RSI values, we can better sense divergences from price, since these points are generally going to be more dramatic than the (close) RSI value.
This indicator displays each type of divergence:
Bullish Divergence
Bearish Divergence
Hidden Bullish Divergence
Hidden Bearish Divergence
From these, we get many less-than-useful indications, since every single divergence from price is not necessarily of great importance.
The Divergence Filter disregards any divergence detected that does not extend outside the RSI upper or lower values.
This does not replace good judgment, but this filter can be helpful in focusing attention towards the extremes of RSI for potential reversal spotting from divergence.
🔶 DETAILS
In order to get the desired results for a display that resembles price action while following RSI, we must scale. The scaling is the most important part of this indicator.
To summarize the process:
Identify a range on Price and RSI
Consider them as equal to create a scaling factor
Use the scaling factor to locate RSI's "Price equivalent" Upper, Lower, & Mid on the Chart
Use those prices (specifically the RSI Mid) to check how far each OHLC value lies from it
Use those differences to translate the price back to the RSI Oscillator, pinning the OHLC values at their relative location to our anchor (RSI Mid)
🔹 RSI Channel
To better understand, and for your convenience, the indicator includes the option to display the RSI Channel on the chart. This channel helps to visualize where the scaled RSI values are relative to price.
If you analyze the RSI channel, you are likely to notice that the price movement throughout the channel matches the same movement witnessed in the RSI Oscillator below. This makes sense since they are the exact same thing displayed on different scales.
🔹 Scaling the Open
While the scaling method used is important, and provides a very close view of the real price bar's relative locations on the RSI oscillator… It is designed for a single purpose.
The scaling does NOT make the price candles display perfectly on the RSI oscillator.
The largest place where this is noticeable is with the opening of each candle.
For this reason, we have included a setting that modifies the opening of each RSI candle to be more accurate to the chart's price candles.
This setting positions the current bar's opening RSI candlestick value accurately relative to the price's open location to the previous closing price. As seen below.
🔶 SETTINGS
🔹 RSI Candles
RSI Length: Sets the Length for the RSI Oscillator.
Overbought/Oversold Levels: Sets the Overbought and Oversold levels for the RSI Oscillator.
Scale Open for Chart Accuracy: As described above, scales the open of each candlestick bar to more accurately portray the chart candlesticks.
🔹 Divergence
Show on Chart: Choose to display divergence line on the chart as well as on the Oscillator.
Divergence Length: Sets the pivot width for divergence detection. Normal Fractal Pivot Detection is used.
Divergence Style: Change color and line style for Regular and Hidden divergences, as well as toggle their display.
Divergence Filter: As described above, toggle on or off divergence filtering.
🔹 RSI Channel
Toggle: Display RSI Channel on Chart.
Color: Change RSI Channel Color
Altcoin Reversal or Correction DetectionINDICATOR OVERVIEW: Altcoin Reversal or Correction Detection
Altcoin Reversal or Correction Detection is a powerful crypto-specific indicator designed exclusively for altcoins by analyzing their RSI values across multiple timeframes alongside Bitcoin’s RSI. Since BTC's price movements have a strong influence on altcoins, this tool helps traders better understand whether a reversal or correction signal is truly reliable or just noise. Even if an altcoin appears oversold or overbought, it may continue trending with BTC—so this indicator gives you the full picture.
The indicator is optimized for CRYPTO MARKETS only. Not suitable for BTC itself—this is a precision tool built only for ALTCOINS only.
This indicator is not only for signals but also serves as a tool for observing all the information from different timeframes of BTC and altcoins collectively.
How the Calculation Works: Algorithm Overview
The Altcoin Reversal or Correction Detection indicator relies on an algorithm that compares the RSI values of the altcoin across multiple timeframes with Bitcoin's RSI values. This allows the indicator to identify key market moments where a reversal or correction might occur.
BTC-Altcoin RSI Correlation: The algorithm looks for the correlation between Bitcoin's price movements and the altcoin's price actions, as BTC often influences the direction of altcoins. When both Bitcoin and the altcoin show either overbought or oversold conditions in a significant number of timeframes, the indicator signals the potential for a reversal or correction.
Multi-Timeframe Confirmation: Unlike traditional indicators that may focus on a single timeframe, this tool checks multiple timeframes for both BTC and the altcoin. When the same overbought/oversold conditions are met across multiple timeframes, it confirms the likelihood of a trend reversal or correction, providing a more reliable signal. The more timeframes that align with this pattern, the stronger the signal becomes.
Overbought/Oversold Conditions & Extreme RSI Values: The algorithm also takes into account the size of the RSI values, especially focusing on extreme overbought and oversold levels. The greater the RSI values are in these extreme regions, the stronger the potential reversal or correction signal. This means that not only do multiple timeframes need to confirm the condition, but the magnitude of the overbought or oversold RSI level plays a crucial role in determining the strength of the signal.
Signal Strength Levels: The signals are classified into three levels:
Early Signal
Strong Signal
Very Strong Signal
By taking into account the multi-timeframe analysis of both BTC and the altcoin RSI values, along with the magnitude of these RSI values, the indicator offers a highly reliable method for detecting potential reversals and corrections.
Who Is This Indicator Suitable For?
This indicator can also be used to detect reversal points, but it is especially effective for scalping. It highlights potential correction points, making it perfect for quick entries during smaller market pullbacks or short-term trend shifts, which is more suitable for scalpers looking to capitalize on short-term movements
Integration with other tools
Use this tool alongside key Support and Resistance zones to further enhance your trade by filtering for even better quality entries and focusing only on high-quality reversal or correction setups. It can be also used with other indicators and suitable with other personalised strategies.
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems 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.
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability
The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts.
Key Features
Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics.
Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function:
At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mix+bi.
Standard deviations can be calculated from the sequence of slopes, {mi}, and intercepts, {bi}.
Each standard deviation has a corresponding probability.
Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other.
Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions.
Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics.
The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes.
Additional information:
Leavitt, in his study, considers the SPY chart.
When the Convolution Probability (CP) is high, it indicates that the probability P1 (related to the slope) is high, and conversely, when CP is low, P1 is low and P2 is high.
For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21(1+erf(σ2x−μ)) where μ is the mean and σ is the standard deviation.
For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope))))
Conclusions
This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities.
⸻
Smart Configuration Feature
What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters:
• Length – The period over which the price changes are smoothed.
• Momentum Length – The number of bars used to calculate the price change.
By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons.
⸻
Key Features & Benefits
1. Momentum-Based Insights
• Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI.
• Enhanced adaptability for a wide range of asset classes and time horizons.
2. Simple Yet Powerful Configuration
• Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style.
• Eliminates guesswork and manual recalibration when switching between markets or timeframes.
3. Overbought & Oversold Visualization
• Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20).
• Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals.
4. Intuitive Design & Ease of Use
• Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum.
• Straightforward dropdown menus keep the interface user-friendly, even for novice traders.
⸻
Practical Applications
• Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa.
• Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals.
• Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions.
• Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively.
⸻
Disclaimer
As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results.
⸻
Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
Saral TrendSaral Trend
### Overview
The Saral Trend Indicator is a price-action-based tool designed to measure trend strength dynamically. Unlike traditional trend following indicators that rely solely on moving averages or fixed formulas, Saral Trend integrates Directional Movement, price positioning within the bar range, and volatility-adjusted trend weighting to create a clearer visualization of market momentum. By refining the classic trend following approach, this indicator provides more responsive and adaptive trend analysis across various timeframes.
### Key Features
Trend Histogram: Four types of bars indicate trend strength and momentum.
- Bullish Up: Higher than the previous bar; signals a strong uptrend; Color: Dark Blue.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in an uptrend; Color: Light Blue.
- Bearish Up: Higher than the previous bar; signals a strong downtrend; Color: Dark Red.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in a downtrend; Color: Light Red.
Trend Strength Line: A smoothed reference line that provides additional confirmation of momentum strength.
- When histogram bars are above this line, the trend is strong.
- When they fall below, momentum weakens.
Trend Pause Dots: Appear when the trend shows signs of temporary exhaustion, suggesting a possible short-term pause or reversal.
- A bullish pause dot on a bearish bar indicates a temporary halt in an uptrend before continuation or a reversal.
- A bearish pause dot on a bullish bar indicates a temporary halt in a downtrend before continuation or a reversal.
Oscillator Functionality: No fixed upper limit, but extreme bar values (e.g., above 100) suggest overbought or oversold conditions.
### Calculation Methodology
Analyzing Price Movement:
- The indicator calculates the difference between the highest and lowest prices over a period to determine price movement.
- It smooths these values using an Exponential Moving Average (EMA) to filter out short-term noise.
Identifying Trend:
- It compares the current high and low prices with their moving averages to determine whether the market is trending up or down.
- If the high price moves further from its average compared to the low price, it indicates bullish strength. Conversely, if the low price moves further from its average compared to high price, it signals bearish strength.
Evaluating Closing Price Position:
- The indicator analyzes where the closing price is within the high-low range.
- If the closing price is near the high, bullish strength is emphasized. If it is near the low, bearish strength is given more weight.
Measuring Trend Strength:
- The indicator applies volatility based smoothing techniques to measure positive and negative trend strength separately.
- A higher positive trend value suggests strong buying pressure, while a higher negative trend value indicates strong selling pressure.
- A dynamic smoothing approach ensures trend signals remain stable while reacting quickly to market shifts.
Visualizing Trend Strength with a Histogram:
- The indicator plots a positive and negative strength in form of histogram to represent the strength and direction of the trend.
- The color of the histogram bars changes based on whether the trend is strengthening or weakening.
- Blue shades indicate bullish trends, while red shades represent bearish trends.
Trend Reversal Detection: A trend pause or potential reversal is identified when the histogram weakens sharply, with dots appearing on bars as early warnings.
### How to Use It
Trend Direction: The colors of the histogram bars provide a visual clue about the ongoing trend - whether it's bullish or bearish - allowing traders to assess market sentiment at a glance.
Trend Confirmation: When histogram bars are consistently above the Trend Strength Line, it indicates strong momentum, confirming trade direction.
Momentum Shifts: A color shift (e.g., from Dark Blue to Light Blue) suggests weakening strength, which could indicate a pullback or reversal.
Reversal Signals: Trend Pause Dots highlight areas where momentum stalls, helping traders prepare for possible reversals or consolidations.
Timeframe Flexibility:
- Long-term traders can use weekly/monthly charts for macro trends.
- Swing traders can use daily/hourly charts to capture medium-term opportunities.
- Day traders can use 15-minute or lower timeframes for precise intraday entries.
### What Makes Saral Trend Unique?
Unlike conventional trend indicators that rely solely on moving averages, Saral Trend improves upon existing methods by:
Integrating price positioning within the range to make trend strength more responsive.
Applying volatility-adjusted trend weighting, ensuring trends are measured dynamically rather than through fixed lookback periods.
Providing multiple visual cues (histogram, strength line, and pause dots) to help traders make informed decisions.
This indicator is optimized for simplicity and efficiency , making it suitable for traders across different styles, from long-term investors to intraday scalpers.
By combining trend structure, momentum shifts, and volatility adaptation , Saral Trend delivers a comprehensive and actionable trend analysis tool for TradingView users.
Smart MACD Reversal Oscillator Pro [TradeDots]The TradeDots Smart MACD Reversal Oscillator Pro is an advanced technical analysis tool that combines traditional MACD functionality with multi-layered signal detection and divergence identification systems. This comprehensive oscillator helps traders identify potential market reversals, trend continuations, and extremes with greater precision than conventional indicators.
📝 HOW IT WORKS
Accumulation & Distribution Detection System
The indicator begins with a proprietary calculation that identifies potential accumulation and distribution phases:
Calculation: Processes EMA differentials with specific time constants to detect underlying accumulation/distribution pressure
Visualization: Green-filled areas indicate accumulation phases (bullish pressure building) while red-filled areas show distribution phases (bearish pressure building)
Significance: This system often identifies trend reversals before traditional indicators by detecting institutional buying/selling activity
Multi-Timeframe MACD Implementation
Unlike traditional MACD indicators that use a single timeframe, this oscillator incorporates multiple calculation methods:
1. Primary Oscillator: Uses a proprietary calculation that combines price extremes with smoothed averages:
Implements specialized moving average types (SMMA and ZLEMA)
Generates a histogram that changes color based on price position relative to these averages
Produces a signal line that identifies crossover opportunities
2. Secondary MACD: Traditional MACD implementation with customizable parameters:
User-selectable MA types (SMA/EMA) for both oscillator and signal line
Color-coded histogram for momentum visualization
Separate crossover detection system
Dynamic Band System
The indicator implements an innovative dynamic band system to identify overbought and oversold conditions:
Band Calculation: Analyzes historical oscillator values to establish statistically significant extremes
Adaptive Scaling: Automatically adjusts to different market volatility regimes using a customizable Y-axis scale factor
Signal Integration: Incorporates band levels into signal generation for higher-probability trades
Signal Generation System
Four distinct signal types are generated to identify potential trading opportunities:
Green Dots: Bullish crossover signals (primary oscillator crosses above signal line)
Red Dots: Bearish crossover signals (primary oscillator crosses below signal line)
Blue Dots: Secondary MACD bullish crossovers in oversold territory
Orange Dots: Secondary MACD bearish crossovers in overbought territory
Advanced Divergence Detection
The oscillator incorporates a sophisticated divergence detection system:
Regular Divergences: Identifies when price makes lower lows while the oscillator makes higher lows (bullish) or price makes higher highs while the oscillator makes lower highs (bearish)
Hidden Divergences: Optional detection of continuation patterns (currently disabled by default)
Visual Markers: Clear labels identifying divergence formations directly on the chart
Zero-Line Filter: Optional filtering to only detect divergences that don't cross the zero line
🛠️ HOW TO USE
Signal Interpretation
Momentum Direction
Histogram Color: Green shades indicate bullish momentum, red shades indicate bearish momentum
Oscillator Position: Above zero indicates bullish momentum, below zero indicates bearish momentum
Filled Background: Green fill shows accumulation phases, red fill shows distribution phases
Buy Signals (In Order of Strength)
Bullish Divergence + Green Dot: Highest probability reversal signal (price making lower lows while oscillator makes higher lows, followed by crossover)
Green Dot Below Short Average Line: Strong oversold reversal signal
Green Dot + Blue Dot Alignment: Multiple indicator confirmation
Green Dot During Green Fill Expansion: Trend continuation signal
Sell Signals (In Order of Strength)
Bearish Divergence + Red Dot: Highest probability reversal signal (price making higher highs while oscillator makes lower highs, followed by crossover)
Red Dot Above Long Average Line: Strong overbought reversal signal
Red Dot + Orange Dot Alignment: Multiple indicator confirmation
Red Dot During Red Fill Expansion: Trend continuation signal
Trading Strategies
Divergence Trading Strategy
Identify "Bullish" or "Bearish" divergence labels on the chart
Wait for confirming dot signal in the same direction
Enter when both divergence and dot signal align
Set stops based on recent swing points
Target the opposite band or previous significant level
Overbought/Oversold Reversal Strategy
Wait for the oscillator to reach extreme bands (Long or Short Average lines)
Look for crossover signals at these extreme levels:
Bullish Crossover (Oversold): Green dots when oscillator is below Short Average
Bearish Crossover (Overbought): Red dots when oscillator is above Long Average
Enter when price confirms the reversal
Set stops beyond the recent extreme
Target the opposite band or at least the zero line
Multi-Confirmation Strategy
For highest probability trades, look for:
Multiple signal types aligning (e.g., Green + Blue dots or Red + Orange dots)
Signals occurring at band extremes
Divergence patterns reinforcing the signal direction
Background fill color supporting the signal (green fill for buys, red fill for sells)
⚙️ CUSTOMIZATION OPTIONS
The indicator offers extensive customization to adapt to different markets and trading styles:
Y-axis scale factor: Controls the band range multiplier (default 2.5)
Parameter 1: Controls the smoothing period for main calculations (default 8)
Parameter 2: Controls the signal line calculation period (default 9)
Fast/Slow Length: Controls traditional MACD calculation periods (12/26)
Oscillator MA Type: Selection between SMA and EMA for main oscillator
Signal Line MA Type: Selection between SMA and EMA for signal line
Divergence Settings: Customizable lookback parameters and display options
Don't touch the zero line?: Toggle option for divergence filtering
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top
False Signals: Can occur during periods of high volatility or during ranging markets
Divergence Validation: Not all divergences lead to reversals; confirmation is essential
Timeframe Sensitivity: The indicator works best on intermediate timeframes (15m to 4h) for most markets
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This oscillator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
TradeDots - Buy Sell Signals ProThe TradeDots - Buy Sell Signals Pro is an advanced technical analysis tool engineered to identify key market turning points and trend continuations. By combining multiple confirmation methods, this indicator provides traders with a comprehensive system for recognizing high-probability entry and exit points across various market conditions.
📝 HOW IT WORKS
Enhanced Supertrend Implementation
Unlike the traditional Supertrend indicator that simply changes color when price crosses above or below a calculated line, our implementation incorporates multiple layers of confirmation:
Advanced Calculation: Uses an enhanced ATR-based algorithm that incorporates trend bias detection and momentum filtering
Multi-Factor Confirmation: Considers price interaction with previous Supertrend values, not just current crossovers
Contextual Awareness: Distinguishes between different entry types based on market risk levels and momentum conditions
Visual Enhancement: Provides background shading to clearly indicate trend direction and strength
Smart Trendline Algorithm
The indicator employs a proprietary Smart Trendline that adapts to market conditions using an advanced moving average system. Unlike traditional moving averages that simply track price, the Smart Trendline incorporates volatility data to change colors based on momentum strength, providing immediate visual feedback about the current market phase with zero lag.
Calculation: Processes price data through selectable advanced calculation methods (including Hull, Jurik, and McGinley averages) with dynamic color-coding based on a modified Keltner Channel system.
Visualization: Green indicates strong bullish momentum, purple represents bearish momentum, and gray signals consolidation or uncertain conditions.
Multi-Signal Confirmation System
The indicator integrates three distinct signal mechanisms to confirm trading opportunities:
1. RSI-Sequential Reversal Signals: Combines RSI levels with seq count patterns to identify potential short-term reversals.
Calculation: Analyzes RSI conditions against specific thresholds while tracking consecutive pattern formations.
Visualization: Green triangles for buy signals and red triangles for sell signals.
2. Statistical Reversal Signals: Identifies statistically significant deviations from normal price behavior.
Calculation: Uses a modified standard deviation approach to determine when price has moved too far from its statistical average.
Visualization: Large green arrows emoji for powerful buy signals and red arrows emoji for powerful sell signals.
3. Supply & Demand Zone Detection: Automatically identifies key price levels where significant buying or selling pressure may exist.
Calculation: Uses RSI extremes combined with confirmation periods to establish high-probability reversal zones.
Visualization: Green-filled areas mark support (demand) zones and red-filled areas mark resistance (supply) zones.
Buy/Sell Signal Generation
The system generates several types of signals with varying strengths:
1. Regular Buy/Sell Signals: Generated when:
Price crosses with MA above/below the Supertrend line
RSI conditions confirm the direction
Candlestick patterns support the signal direction (bullish/bearish candle formation)
Visualized as green/red triangles
2. Strong Buy/Sell Signals: Appear when multiple confirmation factors align:
Regular buy/sell condition is met
Price is interacting with a Supply/Demand zone
Additional momentum confirmation from auxiliary indicators
Seq count reaches significant levels
Statistical Reversal signal confirms the direction
3. Breakout Signals: Special case signals that appear during:
Trend transitions after consolidation
When price breaks through significant resistance/support levels from previous trend
Following pattern completions that suggest increased momentum
Market Structure Analysis
The indicator categorizes market conditions and provides visual cues for traders:
Trend Identification: Supertrend-based algorithm with enhanced visual presentation identifies the prevailing market direction.
Bar Coloring System: Candles change color based on price position relative to EMAs to clearly display strength and direction of momentum
🛠️ HOW TO USE
Signal Interpretation
Buy Signals: "Buy" signals, Green triangles (RSI-Sequential) and large green arrows (Statistical Reversals) appear at potential buy points.
Sell Signals: "Sell" signals, Red triangles (RSI-Sequential) and large red arrows (Statistical Reversals) appear at potential sell points.
Highest Probability Entries: Occur when signals appear near or within Supply & Demand zones.
Trading Strategies
Trend-Following Strategy
1. Identify the main trend using the Smart Trendline color
2. Enter long positions during uptrends when:
Price pulls back to the Smart Trendline
Green triangles or arrows appear
Signals occur near green demand zones
3. Enter short positions during downtrends when:
Price bounces up to the Smart Trendline
Red triangles or arrows appear
Signals occur near red supply zones
Counter-Trend/Reversal Strategy
1. Look for Statistical Reversal arrows at significant price extremes
2. Confirm with an RSI-Sequential signal in the same direction
3. Pay special attention when these signals appear inside Supply & Demand zones
4. Use the Smart Trendline color change as additional confirmation
Multiple Confirmation Technique
For highest probability trades, look for:
Signal alignment (both signal types in same direction)
Supply/Demand zone interaction
Smart Trendline color supporting the signal direction
❗️LIMITATIONS
Signal Lag: The system identifies reversals after they have begun, potentially missing the absolute bottom or top.
False Signals: Can occur during periods of high volatility or range-bound markets.
Timeframe Sensitivity: Some signals work better on higher timeframes for long-term trading, while others are more effective on lower timeframes for short-term trading.
Bar Closing Requirement: All signals are based on closed candles and may be subject to change until the candle closes.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only. Past performance is not indicative of future results.
This indicator should be used as part of a complete trading approach that includes proper risk management, consideration of the broader market context, and confirmation from price action patterns. No trading system can guarantee profits, and users should always exercise caution and use appropriate position sizing.
Stochastic Fusion Elite [trade_lexx]📈 Stochastic Fusion Elite is your reliable trading assistant!
📊 What is Stochastic Fusion Elite ?
Stochastic Fusion Elite is a trading indicator based on a stochastic oscillator. It analyzes the rate of price change and generates buy or sell signals based on various technical analysis methods.
💡 The main components of the indicator
📊 Stochastic oscillator (K and D)
Stochastic shows the position of the current price relative to the price range for a certain period. Values above 80 indicate overbought (an early sale is possible), and values below 20 indicate oversold (an early purchase is possible).
📈 Moving Averages (MA)
The indicator uses 10 different types of moving averages to smooth stochastic lines.:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- HMA: Moving Average Scale
- KAMA: Kaufman Adaptive Moving Average
- VWMA: Volume-weighted moving average
- ALMA: Arnaud Legoux Moving Average
- TEMA: Triple exponential moving average
- ZLEMA: zero delay exponential moving average
- DEMA: Double exponential moving average
The choice of the type of moving average affects the speed of the indicator's response to market changes.
🎯 Bollinger Bands (BB)
Bands around the moving average that widen and narrow depending on volatility. They help determine when the stochastic is out of the normal range.
🔄 Divergences
Divergences show discrepancies between price and stochastic:
- Bullish divergence: price is falling and stochastic is rising — an upward reversal is possible
- Bearish divergence: the price is rising, and stochastic is falling — a downward reversal is possible
🔍 Indicator signals
1️⃣ KD signals (K and D stochastic lines)
- Buy signal:
- What happens: the %K line crosses the %D line from bottom to top
- What does it look like: a green triangle with the label "KD" under the chart and the label "Buy" below the bar
- What does this mean: the price is gaining an upward momentum, growth is possible
- Sell signal:
- What happens: the %K line crosses the %D line from top to bottom
- What it looks like: a red triangle with the label "KD" above the chart and the label "Sell" above the bar
- What does this mean: the price is losing its upward momentum, possibly falling
2️⃣ Moving Average Signals (MA)
- Buy Signal:
- What happens: stochastic crosses the moving average from bottom to top
- What it looks like: a green triangle with the label "MA" under the chart and the label "Buy" below the bar
- What does this mean: stochastic is starting to accelerate upward, price growth is possible
- Sell signal:
- What happens: stochastic crosses the moving average from top to bottom
- What it looks like: a red triangle with the label "MA" above the chart and the label "Sell" above the bar
- What does this mean: stochastic is starting to accelerate downwards, a price drop is possible
3️⃣ Bollinger Band Signals (BB)
- Buy signal:
- What happens: stochastic crosses the lower Bollinger band from bottom to top
- What it looks like: a green triangle with the label "BB" under the chart and the label "Buy" below the bar
- What does this mean: stochastic was too low and is now starting to recover
- Sell signal:
- What happens: Stochastic crosses the upper Bollinger band from top to bottom
- What it looks like: a red triangle with a "BB" label above the chart and a "Sell" label above the bar
- What does this mean: stochastic was too high and is now starting to decline
4️⃣ Divergence Signals (Div)
- Buy Signal (Bullish Divergence):
- What's happening: the price is falling, and stochastic is forming higher lows
- What it looks like: a green triangle with a "Div" label under the chart and a "Buy" label below the bar
- What does this mean: despite the falling price, the momentum is already changing in an upward direction
- Sell signal (bearish divergence):
- What's going on: the price is rising, and stochastic is forming lower highs
- What it looks like: a red triangle with a "Div" label above the chart and a "Sell" label above the bar
- What does this mean: despite the price increase, the momentum is already weakening
🛠️ Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals
- Why it is needed: prevents signals from being too frequent during strong market fluctuations
- How to set it up: Set the number from 0 and above (default: 5)
2️⃣ "Waiting for the opposite signal" mode
- What it does: waits for a signal in the opposite direction before generating a new signal
- Why you need it: it helps you not to miss important trend reversals
- How to set up: just turn the function on or off
3️⃣ Filter by stochastic levels
- What it does: generates signals only when the stochastic is in the specified ranges
- Why it is needed: it helps to catch the moments when the market is oversold or overbought
- How to set up:
- For buy signals: set a range for oversold (for example, 1-20)
- For sell signals: set a range for overbought (for example, 80-100)
4️⃣ MFI filter
- What it does: additionally checks the values of the cash flow index (MFI)
- Why it is needed: confirms stochastic signals with cash flow data
- How to set it up:
- For buy signals: set the range for oversold MFI (for example, 1-25)
- For sell signals: set the range for overbought MFI (for example, 75-100)
5️⃣ The RSI filter
- What it does: additionally checks the RSI values to confirm the signals
- Why it is needed: adds additional confirmation from another popular indicator
- How to set up:
- For buy signals: set the range for oversold MFI (for example, 1-30)
- For sell signals: set the range for overbought MFI (for example, 70-100)
🔄 Signal combination modes
1️⃣ Normal mode
- How it works: all signals (KD, MA, BB, Div) work independently of each other
- When to use it: for general market analysis or when learning how to work with the indicator
2️⃣ "AND" Mode ("AND Mode")
- How it works: the alarm appears only when several conditions are triggered simultaneously
- Combination options:
- KD+MA: signals from the KD and moving average lines
- KD+BB: signals from KD lines and Bollinger bands
- KD+Div: signals from the KD and divergence lines
- KD+MA+BB: three signals simultaneously
- KD+MA+Div: three signals at the same time
- KD+BB+Div: three signals at the same time
- KD+MA+BB+Div: all four signals at the same time
- When to use: for more reliable but rare signals
🔌 Connecting to trading strategies
The indicator can be connected to your trading strategies using 6 different channels.:
1. Connector KD signals: connects only the signals from the intersection of lines K and D
2. Connector MA signals: connects only signals from moving averages
3. Connector BB signal: connects only the signals from the Bollinger bands
4. Connector divergence signals: connects only divergence signals
5. Combined Connector: connects any signals
6. Connector for "And" mode: connects only combined signals
🔔 Setting up alerts
The indicator can send alerts when alarms appear.:
- Alerts for KD: when the %K line crosses the %D line
- Alerts for MA: when stochastic crosses the moving average
- Alerts for BB: when stochastic crosses the Bollinger bands
- Divergence alerts: when a divergence is detected
- Combined alerts: for all types of alarms
- Alerts for "And" mode: for combined signals
🎭 What does the indicator look like on the chart ?
- Main lines K and D: blue and orange lines
- Overbought/oversold levels: horizontal lines at levels 20 and 80
- Middle line: dotted line at level 50
- Stochastic Moving Average: yellow line
- Bollinger bands: green lines around the moving average
- Signals: green and red triangles with corresponding labels
📚 How to start using Stochastic Fusion Elite
1️⃣ Initial setup
- Add an indicator to your chart
- Select the types of signals you want to use (KD, MA, BB, Div)
- Adjust the period and smoothing for the K and D lines
2️⃣ Filter settings
- Set the distance between the signals to get rid of unnecessary noise
- Adjust stochastic, MFI and RSI levels depending on the volatility of your asset
- If you need more reliable signals, turn on the "Waiting for the opposite signal" mode.
3️⃣ Operation mode selection
- First, use the standard mode to see all possible signals.
- When you get comfortable, try the "And" mode for rarer signals.
4️⃣ Setting up Alerts
- Select the types of signals you want to be notified about
- Set up alerts for these types of signals
5️⃣ Verification and adaptation
- Check the operation of the indicator on historical data
- Adjust the parameters for a specific asset
- Adapt the settings to your trading style
🌟 Usage examples
For trend trading
- Use the KD and MA signals in the direction of the main trend
- Set the distance between the signals
- Set stricter levels for filters
For trading in a sideways range
- Use BB signals to detect bounces from the range boundaries
- Use a stochastic level filter to confirm overbought/oversold conditions
- Adjust the Bollinger bands according to the width of the range
To determine the pivot points
- Pay attention to the divergence signals
- Set the distance between the signals
- Check the MFI and RSI filters for additional confirmation
OBV Trend Bands [Alpha Extract]OBV Trend Bands 📊
The OBV Trend Bands indicator leverages On-Balance Volume (OBV) to assess trend strength and potential reversals by plotting a dynamic median line alongside upper and lower bands based on standard deviation. This tool helps traders identify overbought or oversold conditions and visualize OBV momentum relative to historical trends.
🔶 CALCULATION
The indicator calculates OBV, a dynamic median of OBV, and standard deviation bands to measure volume-driven momentum:
• OBV: Cumulative volume that adds or subtracts based on price direction.
• Aggregate Median: A smoothed median of OBV over a user-defined lookback period, adjusted by a minimum lookback for robustness.
• Standard Deviation Bands: Upper and lower bands derived from the scaled aggregate median, adjusted by a multiplier.
• Scaled OBV: OBV divided by a customizable scaling factor for better visualization.
Formula:
• OBV = Cumulative sum of volume (positive if price increases, negative if price decreases)
• Aggregate Median = Average of simple medians over a range from minLookbackPeriod to length
• Upper Band = Aggregate Median / Scaling Factor + StdMultiplier * StdDev
• Lower Band = Aggregate Median / Scaling Factor - StdMultiplier * StdDev
🔶 DETAILS
Visual Features:
• OBV Line (Dynamic Color): Plotted with a color that shifts based on its position—green above the upper band (bullish), red below the lower band (bearish), and white between bands (neutral).
• Upper Band (Green): Represents the overbought threshold, lightly shaded for clarity.
• Lower Band (Red): Indicates the oversold threshold, also lightly shaded.
• Aggregate Median Line (Gray): Acts as the central trend reference.
• Fill Areas: Transparent green fill when OBV exceeds the upper band, transparent red fill when below the lower band, and no fill within the bands.
Interpretation:
• Bullish Signal: OBV rises above the upper band, suggesting strong buying pressure and potential trend continuation.
• Bearish Signal: OBV falls below the lower band, indicating selling pressure and possible trend weakness.
• Neutral Zone: OBV between bands reflects consolidation or indecision in the market.
🔶 EXAMPLES
The chart demonstrates:
• Bullish Momentum: OBV crosses above the upper band with a green line and fill, signaling robust accumulation.
• Bearish Momentum: OBV drops below the lower band with a red line and fill, indicating distribution or selling pressure.
• Reversal Points: Transitions of OBV from below the lower band to above the upper band (or vice versa) suggest potential trend shifts.
Example Snapshots:
• A sustained bullish phase where OBV remains above the upper band with consistent green coloring.
• A bearish trend change where OBV falls below the upper band hinting at weakening momentum leading to a change in trend.
🔶 SETTINGS
Customization Options:
• Median Length (Default: 100): Adjusts the period for calculating the aggregate median, tailoring trend sensitivity.
• Minimum Lookback Period (Default: 30): Sets the shortest period for median aggregation, refining responsiveness.
• Standard Deviation Multiplier (Default: 1.0): Controls the width of the bands—higher values widen them, lower values tighten them.
• Scaling Factor (Default: 100,000): Scales OBV for better chart readability, adjustable based on asset volume.
The OBV Trend Bands indicator is a versatile tool for traders, blending volume analysis with statistical boundaries to effectively pinpoint market extremes and momentum shifts.
Peak Reaction Zones [BigBeluga]Peak Reaction Zones is an advanced Smart Money Concept (SMC) indicator that identifies the most recent swing high and swing low zones, helping traders determine premium and discount areas for optimal trade positioning.
🔵 Key Features:
Swing High & Low Zones:
Automatically detects the latest swing high and swing low levels.
Helps traders identify key reaction points where price is likely to respond.
Premium & Discount Concept:
The high zone represents a premium area, where price is overextended and may reverse.
The low zone represents a discount area, where price is undervalued and may bounce.
The midline dynamically marks the equilibrium of the range.
Adjustable Zone Width:
Users can fine-tune the width of the zones to match their trading style.
Wider zones capture broader reaction ranges, while narrower zones focus on precise levels.
Zone Retest Signals:
Blue markers appear when price retests the lower reaction zone, signaling potential support.
Orange markers appear when price retests the upper reaction zone, indicating possible resistance.
Price Labels for Key Levels:
Displays the price value of the swing high, swing low, and midline for quick reference.
Helps traders recognize major reaction points at a glance.
🔵 Usage:
Smart Money Trading: Utilize the premium and discount concept to align trades with institutional order flow.
Zone Reactions: Watch for price tests of reaction zones and use the retest signals to confirm potential reversals.
Midline Confirmation: If price holds above or below the midline, it can indicate directional bias.
Scalping & Swing Trading: Short-term traders can look for zone rejections, while swing traders can use the levels for trend continuation setups.
Peak Reaction Zones is a must-have tool for traders looking to trade with Smart Money Concepts, allowing for precise entries and exits based on key liquidity areas and market structure.
