JuiceBox CRSI EnhancedJuiceBox “CRSI Enhanced” is a single-pane, zero-lag Connors RSI indicator supercharged with multi-theory lenses, Jurik smoothing, and multi-timeframe consensus.
1. Base Oscillator (JL-CRSI):
- Computes Connors RSI (3‐period price RSI, 2‐period streak RSI, 100-period percentile rank)
- Smooths it with a true Jurik Moving Average (configurable length & phase)
2. Sliding‐Window Divergence Filter:
- Detects classic price–indicator divergences over a recent look-back window
- Only lets signals fire when CRSI and price lows or highs diverge in the same direction
3. MTF Consensus (Ultra-product):
- For each lens, checks that at least 2 of {1m, 3m, 5m, 15m} agree on the same condition
- Ensures you see only the tightest, zero-lag multi-timeframe confirmation
4. Four “Lenses” (overlaid on the CRSI line):
Jerk (1ˢᵗ derivative) as a histogram, volume-weighted and ATR-scaled for adaptive sensitivity
Infinitesimal Divergence (2ⁿᵈ derivative) as a thin histogram, using a dynamic ε based on recent volatility
Zero-Cross markers (up/down labels) on the detrended CRSI midline, filtered by MTF consensus
Recurrence crosses, spotting 3-bar “W”/“M” micro-patterns that exceed a minimum amplitude and extend when volume surges
5. Classic RSI Reference Lines:
- 30, 50, 70 thresholds drawn with customizable solid, dashed or dotted styles
Göreceli Güç Endeksi (RSI)
Fibonacci - RSI OscillatorIndicator Overview
The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys.
Core Calculation Mechanism
Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir).
Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley:
If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236
If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236
This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates.
Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation.
RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc).
Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line.
Key Features & Components
Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio.
Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level.
Signal Line: A moving average of the primary RSI line.
Overbought/Oversold Levels: User-defined threshold lines.
Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation.
Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels.
Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory.
Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100.
Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles.
Visual Elements Explained
Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable).
Signal Line: The moving average of the RSI line (color/width/MA type configurable).
OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable).
Mid-Line (50): Horizontal line plotted at 50 (color/width configurable).
Zone Fills:
Background fill between 0-50 and 50-100 (colors configurable).
Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable).
Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Smoothing: Enable/disable dynamic level smoothing; set length and MA type.
RSI: Set the RSI calculation length.
Signal Line: Set the signal line smoothing length and MA type.
Levels: Define Overbought and Oversold numeric thresholds.
Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills.
Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient.
Interpretation Notes
The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context.
The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility.
As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system.
Risk Disclaimer:
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
MTF Stochastic RSIOverview: MTF Stochastic RSI
is a momentum-tracking tool that plots the Stochastic RSI oscillator for up to four user-
defined timeframes on a single panel. It provides a compact yet powerful view of how
momentum is aligning or diverging across different timeframes, making it suitable for both
scalpers and swing traders looking for multi-timeframe confirmation.
What it does:
Calculates Stochastic RSI values using the RSI of price as the base input and applies
smoothing for stability.
Aggregates and displays the values for four customizable TF (e.g., 5min, 15min, 1h, 4h).
Highlights potential support and resistance zones in the oscillator space using adaptive zone
logic.
Optionally draws dynamic support/resistance zone lines in the oscillator space based on
historical turning points.
How it works:
Each timeframe uses the same RSI and Stoch calculation settings but runs independently via
the request.security() function.
Stochastic RSI is calculated by first applying the RSI to price, then applying a stochastic
formula on the RSI values, and finally smoothing the %K output.
Adaptive overbought and oversold thresholds adjust based on ATR-based volatility and simple
trend filtering (e.g., price vs EMA).
When a crossover above the oversold zone or a crossunder below the overbought zone
occurs, the script checks for proximity to previously stored zones and either adjusts or
records a new one.
These zones are stored and re-plotted as dotted support/resistance levels within the
oscillator space.
What it’s based on:
The indicator builds upon traditional Stochastic RSI by applying it to multiple timeframes in
parallel.
Zone detection logic is inspired by the idea of oscillator-based support/resistance levels.
Volatility-adjusted thresholds are based on ATR (Average True Range) to make the
overbought/oversold zones responsive to market conditions.
How to use it:
Look for alignment across timeframes (e.g., all four curves pushing into the overbought
region suggests strong trend continuation).
Reversal risk increases when one or more higher timeframes are diverging or showing signs of
cooling while lower timeframes are still extended.
Use the zone lines as soft support/resistance references within the oscillator—retests of
these zones can indicate strong reversal opportunities or continuation confirmation.
This script is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or an offer to buy or sell any financial instrument. Always perform your own due diligence, use proper risk management, and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results. Use this tool at your own discretion and risk.
Multi 10 Symbol Scanner Table V1Script Summary: "Multi 10 Symbol Scanner Table V1"
This TradingView indicator acts as a powerful market scanner dashboard. Instead of plotting signals on your main price chart, its primary purpose is to display a table summarizing the technical status of up to 10 different assets (stocks, crypto, forex pairs, etc.) that you choose.
Think of it as a watchlist on steroids. It analyzes each symbol you enter based on a consistent set of rules you define and presents the results side-by-side in the table for quick comparison.
Here's what the table shows for each symbol you add:
Symbol: The ticker name of the asset being scanned.
Actual Price: The current market price of that asset.
Price vs. MAs: Indicates the short-term trend based on whether the price (on the chart's current timeframe) is above two moving average lines ("Above Both"), below them ("Below Both"), or in between ("Mixed"). This column is color-coded (Green/Red/Gray).
RSI Value: Shows the current RSI (Relative Strength Index) number, a measure of momentum (calculated on the chart's current timeframe).
RSI Status: Tells you if the RSI is currently "Overbought," "Oversold," or "Neutral" based on the levels you set. This column is color-coded (Red/Green/Gray).
SIG NOW: A combined "immediate signal" based on the Price vs. MAs and RSI Status conditions (calculated on the chart's current timeframe). It shows "BUY," "SELL," or "NEUTRAL" and is color-coded (Green/Red/Gray).
ALERT: Flags unusual trading volume activity (calculated on the chart's current timeframe). It shows "SPIKE" for high volume, "DUMP" for low volume, or "NONE." This column is color-coded (Orange/Purple/Gray).
LTS (TF1), LTS (TF2), LTS (TF3): These three columns show separate Long-Term Signals for each asset. Each signal is calculated independently using Bollinger Bands on a different, higher timeframe that you specify (e.g., Daily, Weekly, Monthly). It shows "BUY," "SELL," or "NEUTRAL" along with the price at which that signal occurred on that specific higher timeframe. These columns are also color-coded (Green/Red/Gray).
In essence: This script lets you monitor multiple assets simultaneously from one place, checking their short-term trend, momentum, volume activity, and longer-term signals across three different time perspectives, all updated in real-time within the table.
Important Note: This script only displays information in the table. It does not plot any lines or signals on your main chart, nor does it generate built-in TradingView alerts. It's purely a visual dashboard for scanning.
How to Adjust the Script Settings
You can customize the scanner through its "Settings" panel in TradingView. Here’s how to adjust each part:
1. Symbols (Enter Ticker IDs like 'BINANCE:BTCUSDT')
Symbol 1 to Symbol 10: These are the 10 slots where you enter the assets you want to scan.
How to Enter: You need the full Ticker ID, often including the exchange prefix. Examples: NASDAQ:AAPL, BINANCE:BTCUSDT, FX:EURUSD, NYSE:GME. You can find these using TradingView's symbol search.
Leaving Blank: If you don't need all 10 slots, just leave the extra ones blank. The table will only show rows for the symbols you've entered.
2. Indicator Settings (Chart Timeframe)
These settings define the rules for the analysis performed using the timeframe of the chart you currently have open. These rules are applied to all symbols in your list for the "Price vs MAs," "RSI," "SIG NOW," and "ALERT" columns.
MA Source: Choose which price point (Close, Open, High, Low, etc.) the moving averages should be based on. (Default: Close)
Short MA Period: Set the number of bars for the shorter-term moving average. A smaller number reacts faster. (Default: 20)
Long MA Period: Set the number of bars for the longer-term moving average. A larger number shows a smoother trend. (Default: 50)
RSI Source: Choose which price point the RSI momentum calculation should use. (Default: Close)
RSI Period: Set the number of bars for the RSI calculation. (Default: 14)
RSI Overbought Level: The RSI level above which an asset is considered "Overbought" in the table. (Default: 70)
RSI Oversold Level: The RSI level below which an asset is considered "Oversold" in the table. (Default: 30)
SIG NOW RSI Buy Min: The minimum RSI value required (along with price being above MAs) to show a "BUY" signal in the "SIG NOW" column. (Default: 55)
SIG NOW RSI Sell Max: The maximum RSI value required (along with price being below MAs) to show a "SELL" signal in the "SIG NOW" column. (Default: 45)
Volume Lookback (LBV): How many bars (on the chart's timeframe) to look back to calculate the average volume for the Spike/Dump alerts. (Default: 3)
Volume MA Type: The type of averaging method used for the volume calculation. (Default: EMA)
3. Volume Alert Settings
These control the sensitivity of the "ALERT" column (Spike/Dump detection) for all symbols.
Volume Alert Sensitivity: Choose a preset:
"Normal": Standard thresholds.
"Sensitive": Easier to trigger alerts.
"Highly Sensitive": Easiest to trigger alerts.
"Custom": Uses the manual multipliers below.
Custom Spike Multiplier (>1): (Only used if Sensitivity is "Custom") Volume must be this many times greater than average to trigger SPIKE. (e.g., 1.5 = 50% higher).
Custom Dump Multiplier (<1): (Only used if Sensitivity is "Custom") Volume must be this many times smaller than average to trigger DUMP. (e.g., 0.7 = 30% lower).
4. Long Term Signal (LTS) Settings
These settings control the calculations for the three independent "LTS" columns in the table. Each LTS column analyzes data from a specific higher timeframe you choose.
LTS Timeframe 1 / 2 / 3: Select the higher timeframes (e.g., 'D' for Daily, 'W' for Weekly, 'M' for Monthly) for each of the three LTS calculations. These will determine the data used for the corresponding LTS columns in the table.
LTS BB Source: The price source used for the Bollinger Band calculation on the selected LTS timeframes. (Default: Close)
LTS BB Length: The period (number of bars on the chosen LTS timeframe) used for the Bollinger Band calculation. (Default: 20)
LTS BB StdDev: The standard deviation multiplier for the Bollinger Bands used in the LTS calculations. (Default: 2.0)
5. Table Settings
These control the appearance of the scanner table itself.
Table Position: Choose which corner or side of the chart the table should appear on.
Decimal Places (Non-Price): How many decimal places to show for values like the RSI number in the table.
Table Text Size: Adjust the font size inside the table cells ("tiny", "small", "normal", "large", "huge").
By adjusting these settings, you can tailor the scanner to focus on the assets, timeframes, and technical conditions that matter most to your trading strategy. Remember to enter valid ticker symbols for the assets you want to track.
Chart Plotter & Scanner Table V1Script Summary: "Chart Plotter & Scanner Table V1"
This TradingView indicator is designed to give you a comprehensive analysis of the single stock, crypto, or asset currently displayed on your chart. It does this in two main ways:
Visual Signals on the Chart: It draws helpful information directly onto your price chart:
Trend Lines: Plots two moving average lines (one short-term, one long-term) to help you visualize the current price trend.
Buy/Sell Markers ("SIG NOW"): Shows triangle markers below the price (green for potential Buy) or above the price (red for potential Sell) when specific conditions related to price trend and momentum (RSI) are met.
Volume Activity Markers ("ALERT"): Displays small labels ("S" for Spike, "D" for Dump) when the trading volume is unusually high or low compared to its recent average, indicating potentially significant market activity.
Long-Term Signal Markers ("LTS"): Shows small shapes (circles, diamonds, squares) to indicate potential long-term Buy or Sell signals derived from analyzing price action on up to three different, higher timeframes (like Daily, Weekly, Monthly) that you choose.
Status Summary Table: It displays a neat table on your chart (you choose the corner) that acts like a dashboard, summarizing the key findings for the current asset:
Symbol & Price: Shows the ticker symbol and the latest price.
Price vs. Trend: Tells you if the current price is above both trend lines ("Above Both"), below both ("Below Both"), or in between ("Mixed"), with color-coding (Green/Red/Gray).
Momentum (RSI): Shows the current RSI value and its status ("Overbought", "Oversold", or "Neutral"), with color-coding (Red/Green/Gray).
Immediate Signal ("SIG NOW"): Displays the current Buy, Sell, or Neutral status based on the combined trend and momentum rules, with color-coding (Green/Red/Gray).
Volume Alert ("ALERT"): Shows if there's a volume Spike, Dump, or None, with color-coding (Orange/Purple/Gray).
Long-Term Signals (LTS): Shows the Buy, Sell, or Neutral status calculated from each of the three chosen higher timeframes, including the price at which the signal occurred on that timeframe, with color-coding (Green/Red/Gray).
Essentially, this script combines short-term trend and momentum analysis with volume activity monitoring and longer-term perspective signals, presenting the information clearly on your chart and in a summary table for quick assessment. It also allows you to create TradingView alerts based on these signals.
How to Adjust the Script Settings
You can customize how this script works through its "Settings" panel in TradingView. Here’s a breakdown of each section:
1. Indicator Settings (Chart Timeframe)
These settings control the main calculations done on your current chart's timeframe.
MA Source: Choose which price point (Close, Open, High, Low, etc.) the moving averages should be based on. (Default: Close)
Short MA Period: Set the number of bars for the shorter-term moving average. A smaller number makes it react faster to price changes. (Default: 20)
Long MA Period: Set the number of bars for the longer-term moving average. A larger number shows a smoother, longer-term trend. (Default: 50)
RSI Source: Choose which price point the RSI momentum calculation should use. (Default: Close)
RSI Period: Set the number of bars for the RSI calculation. (Default: 14)
RSI Overbought Level: The RSI level above which the asset is considered potentially "Overbought". (Default: 70)
RSI Oversold Level: The RSI level below which the asset is considered potentially "Oversold". (Default: 30)
SIG NOW RSI Buy Min: The minimum RSI value required (along with price being above MAs) to trigger a "SIG NOW" Buy signal. (Default: 55)
SIG NOW RSI Sell Max: The maximum RSI value required (along with price being below MAs) to trigger a "SIG NOW" Sell signal. (Default: 45)
Volume Lookback (LBV): How many bars to look back to calculate the average volume for the Spike/Dump alerts. (Default: 3)
Volume MA Type: The type of averaging method used for the volume calculation (EMA is generally preferred for responsiveness). (Default: EMA)
2. Volume Alert Settings
These control how sensitive the Volume Spike/Dump alerts are.
Volume Alert Sensitivity: Choose a preset sensitivity level:
"Normal": Standard thresholds for spike/dump detection.
"Sensitive": Requires less deviation from the average volume to trigger an alert.
"Highly Sensitive": Triggers alerts on even smaller volume deviations.
"Custom": Ignores the presets and uses the manual multipliers below.
Custom Spike Multiplier (>1): (Only used if Sensitivity is "Custom") How many times greater than the average volume the current volume must be to trigger a SPIKE. (e.g., 1.5 means 50% higher).
Custom Dump Multiplier (<1): (Only used if Sensitivity is "Custom") How many times smaller than the average volume the current volume must be to trigger a DUMP. (e.g., 0.7 means 30% lower).
3. Long Term Signal (LTS) Settings
These settings control the calculations for the three independent Long-Term Signals, which look at higher timeframes.
LTS Timeframe 1/2/3: Select the higher timeframes (e.g., 'D' for Daily, 'W' for Weekly, 'M' for Monthly) for each of the three LTS calculations.
LTS BB Source: The price source used for the Bollinger Band calculation on the LTS timeframes. (Default: Close)
LTS BB Length: The period (number of bars on the LTS timeframe) used for the Bollinger Band calculation. (Default: 20)
LTS BB StdDev: The standard deviation multiplier for the Bollinger Bands used in the LTS calculation. (Default: 2.0)
4. Plotting Settings
These control what is visually displayed on the price chart itself.
Plot MAs?: Checkbox to show or hide the two moving average lines.
Plot SIG NOW Markers?: Checkbox to show or hide the green/red triangle Buy/Sell markers.
Plot ALERT Markers?: Checkbox to show or hide the "S" / "D" volume Spike/Dump labels.
Plot LTS Markers?: Checkbox to show or hide the long-term signal markers (circles, diamonds, squares).
Plot LTS Markers For: Dropdown to choose whether to show markers for only LTS TF1, TF2, TF3, or "All" of them.
5. Table Settings
These control the appearance and content of the summary table.
Show Status Table?: Checkbox to show or hide the entire summary table.
Table Position: Choose which corner or side of the chart the table should appear on.
Decimal Places (Non-Price): How many decimal places to show for values like the RSI number in the table.
Table Text Size: Adjust the font size inside the table cells.
Setting Up Alerts:
This script creates the conditions for alerts. To actually receive notifications:
Click the "Alert" button (clock icon) in TradingView's top toolbar or right-click on the chart.
In the "Condition" dropdown, select the script name ("Chart Plotter & Scanner Table V1").
You will see a list of available alert conditions created by the script (e.g., "SIG NOW Buy Alert", "RSI Overbought Alert", "LTS TF1 Buy Alert", etc.). Choose the one you want.
Configure the rest of the alert settings (Options, Actions, Message) as desired.
Click "Create". Repeat for any other signals you want alerts for.
By adjusting these settings, you can fine-tune the indicator to match your trading style, the specific asset you are analyzing, and the timeframes you are interested in.
RSI + Composite RSI with Regular & Hidden Divergences📌 Description (for TradingView Public Publishing):
RSI Composite Pro is a reimagined version of the classic RSI indicator, enhanced with deeper insights. This tool displays both the standard RSI of the current asset and a normalized RSI derived from a reference index (e.g., XU100, NDX, SPX), all on the same panel.
By default, the composite RSI source is automatically selected based on the exchange you're viewing (e.g., BIST → XU100, NASDAQ → NDX, NYSE → SPX). However, users can also manually input any symbol through the settings panel.
Additionally, you can apply smoothing filters such as SMA, EMA, or Bollinger Bands to both RSI lines.
The script also detects regular and hidden divergences on RSI, helping to identify potential trend reversal points.
Key Features:
Dual RSI view: asset RSI vs. composite market RSI
Auto or manual selection of composite RSI source
Supports MA smoothing and Bollinger Band overlays
Automatic detection of regular & hidden divergences
Clean and customizable visualization on a single chart
This indicator is flexible and can be tailored to your trading style, suitable for both short-term trading and trend analysis.
COT3 - Flip Strength Index - Invincible3This indicator uses the TradingView COT library to visualize institutional positioning and potential sentiment or trend shifts. It compares the long% vs short% of commercial and non-commercial traders for both Pair A and Pair B, helping traders identify trend strength, market overextension, and early reversal signals.
🔷 COT RSI
The COT RSI normalizes the net positioning difference between non-commercial and commercial traders over (N=13, 26, and 52)-week periods. It ranges from 0 to 100, highlighting when sentiment is at bullish or bearish extremes.
COT RSI (N)= ((NC - C)−min)/(max-min) x100
🟡 COT Index
The COT Index tracks where the current non-commercial net position lies within its 1-year and 3-year historical range. It reflects institutional accumulation or distribution phases.
Strength represents the magnitude of that positioning bias, visualized through normalized RSI-style metrics.
COT Index (N)= (NC net)/(max-min) x100
🔁 Flip Detection
Flip refers to the crossovers between long% and short%, indicating a change in directional bias among trader groups. When long positions exceed shorts (or vice versa), it signals a possible market flip in sentiment or trend.
For example, Pair B commercial flip is calculated as:
Long% = (Long/Open Interest)×100
Short% = (Short/Open Interest)×100
Flip = Long%−Short%
A bullish flip occurs when long% overtakes short%, and vice versa for a bearish flip. These flips often precede price trend changes or confirm sentiment breakouts.
Flip captures how far current positioning deviates from historical norms — highlighting periods of institutional overconfidence or exhaustion, often leading to significant market turns.
This combination offers a multi-layered edge for identifying when smart money is flipping direction, and whether that flip has strong conviction or is likely to fade.
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Volume Signal RSIVolume Signal RSI (VSR) Indicator
Overview:
The Volume Signal RSI (VSR) indicator combines traditional RSI analysis with statistically significant volume detection to identify potential reversal points and exhaustion signals in crypto markets. By applying statistical methods to volume analysis, VSR filters out normal market noise and highlights only the most meaningful volume spikes.
Key Features:
- Standard RSI overbought/oversold signals (70/30)
- Statistical volume significance detection using z-scores and p-values
- Exhaustion signals for potential market reversals
- Enhanced alert system with actionable trading context
How to Use This Indicator
Basic Signals:
- RSI Line: The blue line shows the standard RSI value (default period: 14)
- Overbought/Oversold Levels: Standard levels at 70/30 with additional extreme levels at 80/20
- Volume Detection: Small circles appear on the RSI line when statistically significant volume is detected
Trading Signals
1. Oversold Alert (🔴): When RSI crosses below 30
- Indicates potential support area
- Consider for long entries when price shows signs of stabilizing
2. Overbought Alert (🟢): When RSI crosses above 70
- Indicates potential resistance area
- Consider for short entries when price shows signs of topping
3. Bear Exhaustion Signal (⚠️): When bearish volume appears in oversold territory
- Indicates a potential selling climax
- Strong reversal signal when accompanied by positive price action
- Best used for counter-trend entries during downtrends
4. Bull Exhaustion Signal (⚠️): When bullish volume appears in overbought territory
- Indicates a potential buying climax
- Strong reversal signal when accompanied by negative price action
- Best used for counter-trend entries during uptrends
Alert Messages:
Alert messages contain critical information formatted for quick analysis:
- Symbol and timeframe
- Current price and RSI value with direction indicator
- Volume metrics: z-score, deviation percentage, and statistical confidence
- Trading context suggestion
Statistical Methodology:
- Z-Score: Measures how many standard deviations the current volume is from the mean
- P-Value: Statistical measure of significance (lower values = more significant)
- Confidence: Displayed as a percentage (higher = more confidence in the signal)
- Volume Deviation: Percentage above/below the average volume
Best Practices
1. Confirm signals with price action or other indicators
2. Higher timeframes typically produce more reliable signals
3. Use the statistical confidence percentage to gauge signal strength
4. Most powerful signals occur when exhaustion signals coincide with key support/resistance levels and there a quarter or more wick size at top of candle(buying exhaustion) or at bottom of candle (selling exhaustion)
RSI Full Forecast [Titans_Invest]RSI Full Forecast
Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast
Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market.
AI-Powered RSI Forecasting:
Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy.
But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis.
You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements.
See the Future, Now:
• Track upcoming RSI & RSI MA crossovers in advance.
• Identify potential reversal zones before price reacts.
• Uncover statistical behavior patterns that would normally go unnoticed.
40+ Intelligent Conditions:
The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic.
Full Customization:
All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions.
Innovative, Accurate, Unique:
This isn’t just an upgrade. It’s a quantum leap in technical analysis.
RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an RSI time series like this:
Time →
RSI →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public RSI with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE RSI❓
The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend.
⯁ HOW TO USE THE RSI❓
The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:
• Overbought: When the RSI is above 70, indicating that the asset may be overbought.
• Oversold: When the RSI is below 30, indicating that the asset may be oversold.
• Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📈 RSI Conditions:
🔹 RSI > Upper
🔹 RSI < Upper
🔹 RSI > Lower
🔹 RSI < Lower
🔹 RSI > Middle
🔹 RSI < Middle
🔹 RSI > MA
🔹 RSI < MA
📈 MA Conditions:
🔹 MA > Upper
🔹 MA < Upper
🔹 MA > Lower
🔹 MA < Lower
📈 Crossovers:
🔹 RSI (Crossover) Upper
🔹 RSI (Crossunder) Upper
🔹 RSI (Crossover) Lower
🔹 RSI (Crossunder) Lower
🔹 RSI (Crossover) Middle
🔹 RSI (Crossunder) Middle
🔹 RSI (Crossover) MA
🔹 RSI (Crossunder) MA
🔹 MA (Crossover) Upper
🔹 MA (Crossunder) Upper
🔹 MA (Crossover) Lower
🔹 MA (Crossunder) Lower
📈 RSI Divergences:
🔹 RSI Divergence Bull
🔹 RSI Divergence Bear
📈 RSI Forecast:
🔹 RSI (Crossover) MA Forecast
🔹 RSI (Crossunder) MA Forecast
🔹 RSI Forecast 1 > MA Forecast 1
🔹 RSI Forecast 1 < MA Forecast 1
🔹 RSI Forecast 2 > MA Forecast 2
🔹 RSI Forecast 2 < MA Forecast 2
🔹 RSI Forecast 3 > MA Forecast 3
🔹 RSI Forecast 3 < MA Forecast 3
🔹 RSI Forecast 4 > MA Forecast 4
🔹 RSI Forecast 4 < MA Forecast 4
🔹 RSI Forecast 5 > MA Forecast 5
🔹 RSI Forecast 5 < MA Forecast 5
🔹 RSI Forecast 6 > MA Forecast 6
🔹 RSI Forecast 6 < MA Forecast 6
🔹 RSI Forecast 7 > MA Forecast 7
🔹 RSI Forecast 7 < MA Forecast 7
🔹 RSI Forecast 8 > MA Forecast 8
🔹 RSI Forecast 8 < MA Forecast 8
🔹 RSI Forecast 9 > MA Forecast 9
🔹 RSI Forecast 9 < MA Forecast 9
🔹 RSI Forecast 10 > MA Forecast 10
🔹 RSI Forecast 10 < MA Forecast 10
🔹 RSI Forecast 11 > MA Forecast 11
🔹 RSI Forecast 11 < MA Forecast 11
🔹 RSI Forecast 12 > MA Forecast 12
🔹 RSI Forecast 12 < MA Forecast 12
🔹 RSI Forecast 13 > MA Forecast 13
🔹 RSI Forecast 13 < MA Forecast 13
🔹 RSI Forecast 14 > MA Forecast 14
🔹 RSI Forecast 14 < MA Forecast 14
🔹 RSI Forecast 15 > MA Forecast 15
🔹 RSI Forecast 15 < MA Forecast 15
🔹 RSI Forecast 16 > MA Forecast 16
🔹 RSI Forecast 16 < MA Forecast 16
🔹 RSI Forecast 17 > MA Forecast 17
🔹 RSI Forecast 17 < MA Forecast 17
🔹 RSI Forecast 18 > MA Forecast 18
🔹 RSI Forecast 18 < MA Forecast 18
🔹 RSI Forecast 19 > MA Forecast 19
🔹 RSI Forecast 19 < MA Forecast 19
🔹 RSI Forecast 20 > MA Forecast 20
🔹 RSI Forecast 20 < MA Forecast 20
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📉 RSI Conditions:
🔸 RSI > Upper
🔸 RSI < Upper
🔸 RSI > Lower
🔸 RSI < Lower
🔸 RSI > Middle
🔸 RSI < Middle
🔸 RSI > MA
🔸 RSI < MA
📉 MA Conditions:
🔸 MA > Upper
🔸 MA < Upper
🔸 MA > Lower
🔸 MA < Lower
📉 Crossovers:
🔸 RSI (Crossover) Upper
🔸 RSI (Crossunder) Upper
🔸 RSI (Crossover) Lower
🔸 RSI (Crossunder) Lower
🔸 RSI (Crossover) Middle
🔸 RSI (Crossunder) Middle
🔸 RSI (Crossover) MA
🔸 RSI (Crossunder) MA
🔸 MA (Crossover) Upper
🔸 MA (Crossunder) Upper
🔸 MA (Crossover) Lower
🔸 MA (Crossunder) Lower
📉 RSI Divergences:
🔸 RSI Divergence Bull
🔸 RSI Divergence Bear
📉 RSI Forecast:
🔸 RSI (Crossover) MA Forecast
🔸 RSI (Crossunder) MA Forecast
🔸 RSI Forecast 1 > MA Forecast 1
🔸 RSI Forecast 1 < MA Forecast 1
🔸 RSI Forecast 2 > MA Forecast 2
🔸 RSI Forecast 2 < MA Forecast 2
🔸 RSI Forecast 3 > MA Forecast 3
🔸 RSI Forecast 3 < MA Forecast 3
🔸 RSI Forecast 4 > MA Forecast 4
🔸 RSI Forecast 4 < MA Forecast 4
🔸 RSI Forecast 5 > MA Forecast 5
🔸 RSI Forecast 5 < MA Forecast 5
🔸 RSI Forecast 6 > MA Forecast 6
🔸 RSI Forecast 6 < MA Forecast 6
🔸 RSI Forecast 7 > MA Forecast 7
🔸 RSI Forecast 7 < MA Forecast 7
🔸 RSI Forecast 8 > MA Forecast 8
🔸 RSI Forecast 8 < MA Forecast 8
🔸 RSI Forecast 9 > MA Forecast 9
🔸 RSI Forecast 9 < MA Forecast 9
🔸 RSI Forecast 10 > MA Forecast 10
🔸 RSI Forecast 10 < MA Forecast 10
🔸 RSI Forecast 11 > MA Forecast 11
🔸 RSI Forecast 11 < MA Forecast 11
🔸 RSI Forecast 12 > MA Forecast 12
🔸 RSI Forecast 12 < MA Forecast 12
🔸 RSI Forecast 13 > MA Forecast 13
🔸 RSI Forecast 13 < MA Forecast 13
🔸 RSI Forecast 14 > MA Forecast 14
🔸 RSI Forecast 14 < MA Forecast 14
🔸 RSI Forecast 15 > MA Forecast 15
🔸 RSI Forecast 15 < MA Forecast 15
🔸 RSI Forecast 16 > MA Forecast 16
🔸 RSI Forecast 16 < MA Forecast 16
🔸 RSI Forecast 17 > MA Forecast 17
🔸 RSI Forecast 17 < MA Forecast 17
🔸 RSI Forecast 18 > MA Forecast 18
🔸 RSI Forecast 18 < MA Forecast 18
🔸 RSI Forecast 19 > MA Forecast 19
🔸 RSI Forecast 19 < MA Forecast 19
🔸 RSI Forecast 20 > MA Forecast 20
🔸 RSI Forecast 20 < MA Forecast 20
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : RSI Full Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Atlas Trend RsiAtlas Trend RSI – User Guide
1. Indicator Purpose
Atlas Trend RSI combines a classic RSI oscillator on the average price with optional smoothing, color-coded zones, and automatic pivot signals. It highlights overbought/oversold extremes, neutral ranges, and divergence-based profit-taking points.
2. Inputs & Configuration
Timeframe: Select a higher or lower timeframe RSI to overlay on your chart. Leave blank to match the chart’s timeframe.
Period: The length of the RSI calculation (default 14). Shorter values increase sensitivity; longer values smooth the line.
MA Type (SMA/EMA/RMA/WMA/VWMA): When “Average” is enabled, this applies a moving average to the RSI to filter noise.
Show Average: Toggle on to plot the smoothed RSI line. Use in ranging markets to reduce false signals.
Show Divergence Line: Toggles drawing of a line connecting RSI pivot highs/lows to help you spot hidden or regular divergence.
3. Colored Zones & Interpretation
10–40 (Oversold Zone): Shade in red. Watch for bullish reversals when RSI turns up from this area.
40–60 (Neutral Zone): Light gray. Indicates consolidation—no strong trend.
60–90 (Overbought Zone): Shade in green. Watch for bearish reversals when RSI turns down from this area.
Mid-zone (50 line): A break above/below 50 can confirm a shift from bearish to bullish momentum or vice versa.
4. Signal Tables & Emojis
Top-right: Bull 🐂, Bear 🐻 or Scale ⚖️ emoji appears when RSI pivot conditions trigger:
🐂 when a profitable long-exit (RSI peaked and turned down above overbought).
🐻 when a profitable short-exit (RSI troughed and turned up below oversold).
⚖️ when no clear pivot.
Bottom-right: Displays the current RSI value in parentheses for at-a-glance monitoring.
5. Alert Conditions
Two built-in alerts are available:
Long Profit-Take: Fires when RSI turns down after reaching your overbought threshold.
Short Profit-Take: Fires when RSI turns up after reaching your oversold threshold.
To enable, open the Alerts dialog, select “Atlas Trend RSI,” then choose “Long Profit-Take” or “Short Profit-Take.”
6. Recommended Usage
Trend Confirmation: In a strong uptrend, use dips into the 40–60 zone as buy opportunities; exits when you see the 🐂 alert.
Range Trading: In sideways markets, buy near the 10–20 level and sell near the 80–90 level, using the average line to filter noise.
Divergence Spotting: Enable “Divergence Line” to draw lines between price swings and RSI swings—look for hidden divergence (supports trend) or regular divergence (signals reversal).
Multi-TF Analysis: Apply a 4-hour RSI on a 1-hour chart to see the higher-TF momentum context.
7. Disclaimers
For educational purposes only; not financial advice.
Past performance does not guarantee future results.
Use these explanations in your TradingView publish dialog under “How to use” or “Usage.” Traders will immediately understand what each colored zone, emoji, and alert means and how to apply Atlas Trend RSI in their strategies.
Kalman Filtered RSI | [DeV]The Kalman Filtered RSI indicator is an advanced tool designed for traders who want precise, noise-free market insights. By enhancing the classic Relative Strength Index (RSI) with a Kalman filter, this indicator delivers a smoother, more reliable view of market momentum, helping you identify trends, reversals, and overbought/oversold conditions with greater accuracy. It’s an ideal choice for traders seeking clear signals amidst market volatility, giving you a competitive edge across any trading environment.
The RSI measures momentum by analyzing price movements over a set period, typically 14 bars. It calculates the average of price gains on up days and the average of price losses on down days, then compares these to produce a value between 0 and 100. An RSI above 70 often indicates an overbought market that may reverse downward, while below 30 suggests an oversold market that could reverse upward. RSI is great for spotting momentum shifts, potential reversals, and trend strength, but it can be noisy in choppy markets, leading to misleading signals.
That's where the Kalman filter comes in; it enhances the RSI by applying a sophisticated smoothing process that predicts the RSI’s next value based on its historical trend, then updates this prediction with the actual RSI reading. It operates in two phases: prediction and correction. In the prediction phase, it uses the previous filtered RSI and adds uncertainty from process noise (Q), which is derived from the historical variance of RSI changes, reflecting how much the RSI might unexpectedly shift. In the correction phase, it calculates a Kalman gain based on the ratio of prediction uncertainty to measurement noise (R), which is determined from the variance between raw RSI and a smoothed version, indicating the raw data’s noisiness. This gain weights how much the filter trusts the new RSI versus the prediction, blending them to produce a smoothed RSI that reduces noise while staying responsive to real trends, outperforming simpler methods like moving averages that often lag or oversmooth.
With the Kalman Filtered RSI, you get a refined view of momentum, making it easier to spot trends and reversals with clarity. This indicator’s ability to dynamically adapt to market changes delivers timely, reliable signals, making it a powerful addition to your trading strategy for any market or timeframe.
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0
This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom.
The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy.
This is an entry strategy that tries to find entries close to "the dip".
A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals.
This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions.
Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries.
Happy trading!
RSI Strength & Consolidation Zones (Zeiierman)█ Overview
RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement.
Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities.
█ Its uniqueness
Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation.
This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move.
█ How It Works
⚪ Enhanced RSI
Combines traditional RSI and a custom RSI implementation
Smooths both through a Kalman filter for trend direction
Final RSI line reflects smoothed consensus between manual and built-in RSI
Adds an RSI + Strength overlay to show when the directional conviction is increasing
⚪ ADX-Driven Strength Layer
Directional Movement Index (DMI) is calculated both manually and with built-in smoothing
The average ADX value is used to calculate a strength modifier
When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force
Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions
⚪ Consolidation Zone Detection
When ADX falls below 20, the indicator enters a consolidation zone state
Boxes are drawn dynamically to contain the price within these low-volatility structures
Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼)
⚪ Breakouts
Breakout markers are placed at the first close outside the consolidation box
These signals serve as early indicators for potential trend continuation or reversal
█ How to Use
⚪ Confirm Momentum Strength
Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation.
⚪ Consolidations Zones
When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout.
⚪ Use Breakout Signals for Entry
Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks.
█ Settings Explained
RSI Length – Number of bars used for RSI. Shorter = more sensitive.
DMI Length – Used in both custom and built-in ADX/DI calculations.
ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection.
Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter.
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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.
CyberCandle SwiftEdgeCyberCandle SwiftEdge
Overview
CyberCandle SwiftEdge is a cutting-edge, AI-inspired trading indicator designed for traders seeking precision and clarity in trend-following and swing trading. Powered by SwiftEdge, it combines Heikin Ashi candles, a gradient-colored Exponential Moving Average (EMA), and a Relative Strength Index (RSI) to deliver clear buy and sell signals. Featuring glowing visuals, dynamic signal icons, and a customizable RSI dashboard in the top-right corner, this script offers a futuristic interface for identifying high-probability trade setups on various timeframes (e.g., 1H, 4H).
What It Does
CyberCandle SwiftEdge integrates three powerful components to generate actionable trading signals:
Heikin Ashi Candles: Smooths price action to highlight trends, reducing market noise and making reversals easier to spot.
Gradient EMA: A 100-period EMA with dynamic color transitions (blue/cyan for uptrends, red/pink for downtrends) to confirm market direction.
RSI Dashboard: A neon-lit display showing RSI levels, indicating overbought (>70), oversold (<30), or neutral (30-70) conditions.
Buy and sell signals are marked with prominent, glowing icons (triangles and arrows) based on trend direction, momentum, and specific Heikin Ashi patterns. The script’s customizable parameters allow traders to tailor the strategy to their preferences, balancing signal frequency and precision.
How It Works
The strategy leverages the synergy of Heikin Ashi, EMA, and RSI to filter trades and highlight opportunities:
Trend Direction: The price must be above the EMA for buy signals (bullish trend) or below for sell signals (bearish trend). The EMA’s gradient color shifts based on its slope, visually reinforcing trend strength.
Momentum Confirmation: RSI must exceed a user-defined threshold (default: 50) for buy signals or fall below it for sell signals, ensuring momentum supports the trade.
Candle Patterns: Buy signals require a green Heikin Ashi candle (close > open), with the two prior candles having minimal upper wicks (≤5% of candle body) and being red (indicating a retracement). Sell signals require a red candle, minimal lower wicks, and two prior green candles.
RSI Dashboard: Positioned in the top-right corner, it features a glowing circle (red for overbought, green for oversold, blue for neutral), the current RSI value, and a status indicator (triangle for extremes, square for neutral). This provides instant momentum insights without cluttering the chart.
By combining Heikin Ashi’s trend clarity, EMA’s directional filter, and RSI’s momentum validation, CyberCandle SwiftEdge minimizes false signals and highlights trades with strong potential. Its vibrant, AI-like visuals make it easy to interpret at a glance.
How to Use It
Add to Chart: In TradingView, search for "CyberCandle SwiftEdge" and add it to your chart. Set the chart to Heikin Ashi candles for optimal compatibility.
Interpret Signals:
Buy Signal: Large green triangles and arrows appear below candles when the price is above the EMA, RSI is above the buy threshold (default: 50), and conditions for a bullish retracement are met. Consider entering a long position with a 1:2 risk/reward ratio.
Sell Signal: Large red triangles and arrows appear above candles when the price is below the EMA, RSI is below the sell threshold (default: 50), and conditions for a bearish retracement are met. Consider entering a short position.
RSI Dashboard: Monitor the top-right dashboard. A red circle (RSI > 70) suggests caution for buys, a green circle (RSI < 30) indicates potential buying opportunities, and a blue circle (RSI 30-70) signals neutrality.
Customize Parameters: Open the indicator’s settings to adjust:
EMA Length (default: 100): Increase (e.g., 200) for longer-term trends or decrease (e.g., 50) for shorter-term sensitivity.
RSI Length (default: 14): Adjust for more (e.g., 7) or less (e.g., 21) responsive momentum signals.
RSI Buy/Sell Thresholds (default: 50): Set higher (e.g., 55) for buys or lower (e.g., 45) for sells to require stronger momentum.
Wick Tolerance (default: 0.05): Increase (e.g., 0.1) to allow larger wicks, generating more signals, or decrease (e.g., 0.02) for stricter conditions.
Require Retracement (default: true): Disable to remove the two-candle retracement requirement, increasing signal frequency.
Trading: Use signals in conjunction with the RSI dashboard and market context. For example, avoid buy signals if the RSI dashboard is red (overbought). Always apply proper risk management, such as setting stop-losses based on recent lows/highs.
What Makes It Original
CyberCandle SwiftEdge stands out due to its futuristic, AI-inspired visual design and user-friendly customization:
Neon Aesthetics: Glowing Heikin Ashi candles, gradient EMA, and dynamic signal icons (triangles and arrows) with RSI-driven transparency create a high-tech, immersive experience.
RSI Dashboard: A compact, top-right display with a neon circle, RSI value, and adaptive status indicator (triangle/square) provides instant momentum insights without cluttering the chart.
Customizability: Users can fine-tune EMA length, RSI parameters, wick tolerance, and retracement requirements via TradingView’s settings, balancing signal frequency and precision.
Integrated Approach: The synergy of Heikin Ashi’s trend clarity, EMA’s directional strength, and RSI’s momentum validation offers a cohesive strategy that reduces false signals.
Why This Combination?
The script combines Heikin Ashi, EMA, and RSI for a complementary effect:
Heikin Ashi smooths price fluctuations, making it ideal for identifying sustained trends and retracements, which are critical for the strategy’s signal logic.
EMA provides a reliable trend filter, ensuring signals align with the broader market direction. Its gradient color enhances visual trend recognition.
RSI adds momentum context, confirming that signals occur during favorable conditions (e.g., RSI > 50 for buys). The dashboard makes RSI intuitive, even for non-technical users.
Together, these components create a balanced system that captures trend reversals after retracements, validated by momentum, with a visually engaging interface that simplifies decision-making.
Tips
Best used on volatile assets (e.g., BTC/USD, EUR/USD) and higher timeframes (1H, 4H) for clearer trends.
Experiment with parameters in the settings to match your trading style (e.g., increase wick tolerance for more signals).
Combine with other analysis (e.g., support/resistance) for higher-confidence trades.
Note
This indicator is for informational purposes and does not guarantee profits. Always backtest and use proper risk management before trading.
SnipeSquad NQ-Survival SniperRapid-fire scalping toolkit for the 1-minute CME Nasdaq-100 futures chart (NQ/MNQ) that stacks a higher-time-frame trend bias, intraday VWAP, and momentum/RSI triggers, then auto-maps stop & target levels so $nipeSquad members can drop OCO orders in a click.
What the script does
• Context filter – Pulls a 34-EMA from a higher time-frame (default 15 min) and checks where price sits versus that EMA and the current-session VWAP.
o Price > EMA and VWAP ⇒ bullish context
o Price < EMA and VWAP ⇒ bearish context
• Entry trigger – On the 1-minute chart it waits for:
o an 8/21 EMA crossover / cross-under, plus
o an RSI sanity check (RSI < 60 for longs, > 40 for shorts).
• Risk template – You define the risk per trade in ticks (default 20).
o Script instantly projects a stop and a target at your chosen Reward-to-Risk multiple (default 2 R).
o Each new trade is tagged with an ID label that shows direction and tick target so you can fire an OCO order fast.
• Visual outputs
o VWAP line (session-reset) and Higher-TF EMA line
o Green/red triangles for entries
o Up/down labels that display the projected target price
• Alerts ready – alertcondition() lines fire the moment a long or short signal prints, so you can route them to a broker, Discord, or wherever the $nipeSquad hangs out.
Adjustable inputs
Input Default Purpose
Context TF 15 (min) Higher-time-frame used for trend bias
Risk (ticks) 20 Size of the stop in ticks
Reward-to-Risk 2.0 Multiplier that sets the profit target
VWAP session / UTC 1800-1600 / UTC-4 Lets you anchor VWAP to your preferred trading session
How to use
1. Add the script on a 1-minute NQ or MNQ chart.
2. Set your risk ticks so the dollar value lines up with your prop-firm rules or personal risk limits.
3. Wait for a triangle that aligns with your bias; the label shows stop & target prices.
4. Place an OCO order (or link an automation) using those levels.
5. Repeat until daily goal is hit, or your risk plan says stop.
(The “$2 K” idea is purely an illustrative target—there is no guarantee this script will produce that, or any, profit.)
Educational & Risk Disclaimer 📚⚠️
This indicator is provided solely for educational purposes. It is not financial advice, a trading signal service, or a promise of profit. Futures trading involves substantial risk and can result in losses exceeding your initial investment.
By using this script you acknowledge that you alone are responsible for your trading decisions. Past performance—real or simulated—does not guarantee future results. The author accepts no liability for any loss or damage arising from the use of this code or the information herein. Always do your own research and consult a qualified financial professional before trading.
Katsu mtf RSI CloudKatsu MTF RSI and Cloud
Multi-timeframe RSI-based analytical tool for advanced traders
The Katsu MTF RSI is a sophisticated indicator that combines two RSI signals from different timeframes into one powerful toolkit. It’s perfect for those looking for multi-timeframe confluence to make more precise trading decisions.
Key Features:
Dual RSI Setup (fully customizable timeframe and length):
The first RSI behaves in a traditional way.
The second RSI uses color-coding to visually indicate the dominant trend direction:
🟢 Green = Bullish, 🔴 Red = Bearish.
RSI EMA – Smoothed RSI Average:
Used to determine short-term direction. This moving average is essential for crafting entries and forming your overall trading strategy.
Dynamic Midline – Adaptive Overbought/Oversold Levels:
The overbought/oversold zones are not fixed (like 70/30), but are dynamically adjusted based on the RSI’s average behavior.
When RSI touches these adaptive levels, a small blue arrow appears, signaling a potential momentum shift.
This provides more precise signals than traditional static thresholds (e.g., 70/30 or 80/20).
RSI-Based Cloud Visualization:
The RSI is used to generate a visual cloud that reflects market structure:
When RSI breaks out above the cloud, followed by RSI2, it can signal a strong entry point.
When RSI enters the cloud and reverses, it may indicate a potential exit or reversal zone.
The cloud uses three distinct colors to represent momentum:
Green: RSI is above the cloud → Strong bullish pressure, price well above the trend zone.
Red: RSI is below the cloud → Strong bearish pressure, price well below the trend zone.
Yellow: RSI is inside the cloud → Sideways or corrective move, often a potential exit zone, as the trend may be stalling.
Visual Momentum Feedback (Background Highlight):
The background color shifts to indicate whether RSI is moving above or below 50, giving a quick read on bullish or bearish momentum.
This indicator is especially powerful for multi-timeframe strategies where entries are made on a lower timeframe, but confirmation comes from a higher one. It provides a dynamic, visual framework to stay in sync with the market’s rhythm.
Comp'lament1000 followers. Cheers. Thank You.
- special Thanks to @LucF.
█ OVERVIEW
This closed-source indicator, Comp'lament, offers a unique visualization of relative strength using a custom modified RSI calculation with a floating length. It's a special edition release celebrating 1000 followers. This visuals are a tuned throwback to the March 2023 TASC magazine article.
█ CONCEPTS
Comp'lament takes a novel approach to RSI by incorporating a floating length calculation and a specialized transformation function. This provides a visually distinct representation of relative strength, with gradient fills and dynamic shadows that react to changing market conditions. It's designed to offer a quick and intuitive understanding of overbought/oversold conditions.
█ INPUTS
• Length : Controls the lookback period of the RSI.
• Range of Hue : Influences the color gradient's range.
• Buy Hue : Sets the color for potential overbought areas.
• Sell Hue : Sets the color for potential oversold areas.
• Opacity : Adjusts the transparency of the indicator.
• L/H Dist : Determines the horizontal boundaries.
█ VISUALIZATION
The indicator utilizes vibrant colors and shadows:
• The central line represents the modified RSI value.
• Fill areas between the RSI and its EMA highlight potential overbought/oversold zones.
• Dynamic shadows accentuate price extremes and potential trend reversals.
• Dotted lines mark high/low boundaries influenced by the L/H Dist input.
█ NOTES
This script is a closed-source release for the underlying code. Though visually inspired by the TASC March 2023 article "Every Little Bit Helps" by John F. Ehlers, the specific implementation details of the floating length and transformation function are not publicly disclosed.
█ THANKS
• 1000 Followers: This release celebrates reaching 1000 followers – Thank you for your support!
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
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
RSI MTF CorrelationRSI MTF Correlation
This indicator detects unusual movement between RSI values on the current timeframe and a higher timeframe (multi-timeframe), generating volatility alerts or identifying potential market phase shifts.
Applying for FX:XAUUSD and BINANCE:BTCUSD.P
How To Read Data
How To Use
When RSI volatility across multiple timeframes behaves abnormally, bar colors shift from gray to orange, blue, or purple, indicating increasing levels of volatility.
Once volatility returns to a normal state (gray), it may signal a potential reversal trade opportunity.
Alert is available in the indicator.
How to Trade
Set alerts using the built-in functions of this indicator, or monitor the chart manually.
When abnormal RSI volatility occurs, bar colors will shift from gray to orange, blue, or purple, reflecting increasing levels of volatility.
Wait until a green or red bar appears to trigger a trade:
Green bar: signals a potential buy setup
Red bar: signals a potential sell setup
Stop-Loss (SL): place below the nearest swing low (for buy) or above the nearest swing high (for sell), typically 20–30 pips.
Take-Profit (TP): follow a Risk-to-Reward ratio of 1:1, 1:2, or ideally 1:5 or higher depending on market structure.
Breakeven adjustment is optional and can be applied according to your trading style and market conditions.
Notice:
Follow the higher timeframe trend for more reliable signals.
Strictly adhere to risk and money management principles.
If you experience 2–3 consecutive stop-losses, this may indicate a trend shift or an unclear market condition. In such cases, wait for a new trend to form before re-entering.
How It Works
Under normal market conditions, RSI movements across different timeframes show a relatively correlated pattern.
When this correlation breaks (abnormal RSI volatility), it often signals a possible trend shift in the lower timeframe.
To preserve the dominant trend, the higher timeframe typically pulls the lower one back in line, resulting in sharp V-shaped price movements (flash dumps/pumps).
This behavior helps us identify and isolate abnormal corrections, enabling high-probability trade setups.
However, in some cases, a genuine trend reversal in the lower timeframe can be strong enough to impact the higher timeframe. This may lead to invalidation of trade setups (i.e., stop-loss hits).
We acknowledge this risk and manage it through R:R (risk-to-reward) ratio strategies and robust capital management.
Happy trading ❤️.
Paul_BDT Osc. RSI with Divergence, Order Blocks & Channel//=====================================================================
// Combination of:
// 1. Classic RSI with overbought/oversold thresholds
// 2. Adaptive bands on RSI (dynamically calculated with EMA of gains/losses)
// 3. Moving averages on RSI (optional, including SMA + Bollinger Bands)
// 4. Detection of RSI/price divergences (classic: bullish and bearish)
// 5. Detection of ranges (consolidation zones) with Order Blocks and extensions
// 6. Candle coloring based on dynamic RSI thresholds (breakout/breakdown)
//
// All with multi-timeframe options (displaying adaptive bands from a higher timeframe).
//=====================================================================
//=======================//
// 1. INPUTS (Parameters)
//=======================//
// RSI parameters: source, length, OB/OS thresholds, higher timeframe, divergence activation, adaptive bands display
// Smoothing parameters: choice of MA type applied to RSI (SMA, EMA, etc.) + optional Bollinger Bands
// Order Block parameters: display of ranges, order blocks, zone and candle colors
//=======================//
// 2. CALCULATIONS
//=======================//
// Base RSI calculated on the selected source (default: close)
// Smoothing: applies a chosen moving average to the RSI
// If 'SMA + Bollinger Bands' is selected, also calculates standard deviation to plot the bands
// Adaptive RSI bands: calculated via EMA method of gains/losses over a specific period (close to Wilder's RSI)
// Two adaptive thresholds are defined: upper (overbought) and lower (oversold), which adjust according to the market
// Multi-timeframes:
// Retrieves adaptive bands calculated on a higher timeframe (e.g., daily if TF = 'D')
// Allows overlaying adaptive RSI thresholds from different timeframes
// Dynamic definition of RSI thresholds for candle coloring:
// - Bullish/bearish center: 55/45
// - Adjusts the thresholds based on the price position relative to SMA 200 (if > SMA200, bullish center is used)
//=======================//
// 3. PLOTS (Displays)
//=======================//
// Display of the classic RSI with its OB/OS thresholds + gradient fill to better visualize the zones
// Display of moving averages on RSI and optional Bollinger Bands (if enabled)
// Display of adaptive RSI bands:
// - Those from the higher timeframe (always displayed)
// - Those from the current timeframe (optional display)
// Candle coloring (barcolor):
// - Green if RSI exceeds the dynamic upper threshold (breakout)
// - Red if RSI drops below the dynamic lower threshold (breakdown)
// - Specific color for candles within the neutral zone (range candle color)
//=======================//
// 4. DIVERGENCES
//=======================//
// Detection of regular RSI/price divergences:
// - Bullish divergence: price forms a new lower low, RSI forms a higher low
// - Bearish divergence: price forms a new higher high, RSI forms a lower high
// Display on the RSI panel:
// - Curves and labels (Bull/Bear) at divergence points
//=======================//
// 5. RANGE DETECTION & ORDER BLOCKS
//=======================//
// Automatic detection of ranges (consolidation zones):
// - Based on dynamic RSI thresholds (if RSI oscillates within a defined band)
// - Identifies the range's highs/lows (with configurable future extensions)
// Two types of zones plotted with 'boxes':
// 1. **Range close box**: frames the main consolidation zone (candle bodies)
// 2. **Order block box**: tighter zone around the extremes (highs/lows of closes)
// A midline is drawn at the center of the order block (dashed)
// If price breaks the range boundaries, the zone is removed (range ended)
BULB 20Fractal Wave Marker Indicator
The Fractal Wave Marker is a technical analysis tool designed to visually highlight significant turning points in price action, offering clear signals of potential market reversals. By detecting fractal-like patterns, the indicator identifies high and low points within a specified period, helping traders pinpoint key market swings.
Key Features:
Fixed Period: The period is set to .., ensuring consistency in detecting turning points based on historical price data.
Swing Detection: The indicator detects both base (lower-degree) and fractal (higher-degree) swings, helping to visualize both short-term and long-term trend changes.
Color-coded Markers: High points are marked with a custom color to indicate bullish conditions, while low points are marked in another color for bearish conditions.
Wave Processing: The indicator processes swing highs and lows, dynamically updating to reflect the most relevant turning points on the chart.
Overlay on Chart: Markers are overlaid directly on the chart for quick, intuitive insights into price action, helping traders make better entry and exit decisions.
How It Works:
The indicator calculates the highest highs and lowest lows over a -bar period (fixed period).
When a new swing point is detected, the indicator marks it with a circle, color-coded based on whether it’s a high or low point.
The base swing and fractal wave directions are updated with each new turning point, allowing traders to follow price action and identify market trends.
Sentiment Bias Gauge📌 Overview
The Sentiment Bias Gauge (SBG) is a unique overlay-style indicator that visually maps a sentiment value—such as market bullishness or bearishness—onto your price chart. It converts sentiment data (in this case, RSI-based) into a floating line that moves between defined price zones, allowing users to quickly understand the current market mood in the context of price.
⚙️ How It Works
• The indicator uses RSI (Relative Strength Index) as a proxy for market sentiment (0 to 100 scale).
• This sentiment value is then mapped to a vertical price range on your chart using a configurable zone (via top and bottom percent of chart range).
• The line floats up or down within the price chart, reflecting how bullish or bearish the sentiment is.
• It includes background shading to represent the sentiment level:
• 🔴 Red (Bearish): sentiment < 30
• 🟡 Yellow (Neutral): 30 ≤ sentiment ≤ 70
• 🟢 Green (Bullish): sentiment > 70
• A floating label shows the current sentiment score.
🌟 Key Features
• 📈 Overlay-Based Sentiment Line: Plots sentiment as a price-level line, giving intuitive spatial reference.
• 🔧 Configurable Range Placement: Adjust where the sentiment line appears within the chart’s high-low range.
• 🖌️ Color-Coded Background: Visually distinguish bullish, bearish, and neutral conditions.
• 🏷️ Real-Time Sentiment Label: Displays updated sentiment score on the most recent bar.
🧠 How to Use
• Use this indicator alongside your price action or technical strategy to gauge market mood.
• Combine with other sentiment indicators (e.g., fear/greed, delta volume, news sentiment).
• Especially helpful in sideways markets to identify potential shifts in bias before price reacts.
Why This Combination?
• RSI offers a reliable and intuitive proxy for market sentiment.
• Mapping the value directly onto the chart helps avoid constantly looking at a separate panel.
• The customizable chart range lets traders fit sentiment visuals within any market structure.
🎯 Why It’s Worth Using
• Makes sentiment visually accessible directly on the chart.
• Helps detect bullish/bearish bias shifts earlier than traditional indicators.
• A great tool for sentiment-aware discretionary trading or contextual overlays in algo strategies.
