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.
オシレーター
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Pi Cycle | AlchimistOfCrypto Pi Cycle Top Indicator - A Powerful Market Phase Detector
Developed by AlchimistOfCrypto
🧪 The Pi Cycle uses mathematical harmony to identify Bitcoin market cycle tops
with remarkable precision. Just as elements react at specific temperatures,
Bitcoin price behaves predictably when these two moving averages converge! 🧬
⚗️ The formula measures when the 111-day SMA crosses below the 350-day SMA × 2,
creating a perfect alchemical reaction that has successfully identified the
major cycle tops in 2013, 2017, and 2021.
🔬 Like the Golden Ratio in nature, this indicator reveals the hidden
mathematical structure within Bitcoin's chaotic price movements.
🧮 When the reaction occurs, prepare for molecular breakdown! 🔥
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
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.
Stochastics + Williams VixFix Master Strategy📈 Stochastics + Williams VixFix Master Strategy
A precision-built reversal detection tool that combines momentum exhaustion with volatility panic spikes to identify high-probability turning points — especially effective on daily charts for ETFs and indices.
🔍 How It Works:
✅ Buy Signal triggers when:
Stochastics %K and %D are both oversold
A bullish crossover occurs
A VixFix spike confirms market fear
❌ Sell Signal requires:
%K and %D overbought
A bearish crossover + bearish candle confirmation (lower close and red bar)
🎯 Highlights:
Relaxed signal logic to avoid missed opportunities
Filters out weak sell signals in choppy zones
Clean visuals with background color cues
Alerts ready for automation
Use this strategy to confidently spot fear-driven bottoms and euphoria-driven tops — before the herd reacts.
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!
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements.
Indicators Used
EMA Crossover - Fast and slow exponential moving averages to identify trend direction
MACD - Momentum indicator showing the relationship between two moving averages
RSI - Measures speed and change of price movements to identify overbought/oversold conditions
Parabolic SAR - Identifies potential reversal points in price movement
Supertrend - Combines trend and volatility to generate clear buy/sell signals
ADX - Measures trend strength to filter out low-conviction signals
Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction
Usage Recommendations
Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading
Market Application: Most effective in trending markets with clear directional bias
Optimization: Test different indicator combinations to find what works best for specific markets
Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance
Notes
The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis
An information panel shows active indicators and testing period
All calculations are performed even for disabled indicators but they won't affect signal generation
The backtesting period can be adjusted according to your analysis needs
This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
[blackcat] L1 Bollinger Bands Width WatcherOVERVIEW
The Bollinger Bands Width Watcher is an advanced tool designed to monitor the width of Bollinger Bands, providing insights into market volatility and potential trend reversals. This indicator calculates both absolute and relative widths of the bands, plotting them on the chart for easy visualization. It also generates buy and sell signals based on crossover events, helping traders make informed decisions 📊✅.
Today, this article introduces the final member of the Bollinger Bands trio—Bollinger Bands Width (BBW). Derived from the renowned Bollinger Bands, this indicator measures price volatility and identifies trading signals. First, let’s delve into what Bollinger Bands are. They consist of three lines associated with the price of a security:
The middle line is typically a 20-day Simple Moving Average (SMA).
The upper and lower bands represent two standard deviations above and below the middle band.
The Bollinger Bands Width measures the distance between these upper and lower bands.
Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band
Calculating BBW involves subtracting the lower band from the upper band and dividing by the middle band to obtain the BBW value. However, interpreting BBW values alone isn't enough to determine if they're narrow or wide. Different instruments or timeframes might define narrowness differently. To gauge the significance of band narrowing accurately, analyzing past BBW fluctuations alongside price movements is essential.
One prominent theory involving Bollinger Bands is the "squeeze." A squeeze setup comprises two phases:
Low volatility, where bands narrow, and prices move sideways.
Increased volatility, where prices breach either the upper or lower band, initiating a new trend.
During a bullish squeeze, BBW diminishes, and breaking above the upper band signals a new uptrend. Conversely, in a bearish squeeze, BBW declines, and falling below the lower band indicates a new downtrend.
While BBW excels at spotting squeezes, traders must exercise caution. Even with a squeeze setup, a robust market trend might not materialize. Validating breakouts necessitates personal judgment and additional confirmation techniques.
Now, let's explore key parameters and settings:
Length: Defines the period for computing the base SMA, defaulting to 20 days.
Source: Specifies the data source per candle, defaulting to the closing price.
Standard Deviation: Sets the number of standard deviations from the SMA for the upper and lower bands, defaulting to 2.
FEATURES
Calculates Bollinger Bands Width using customizable parameters:
Smoothing Length: Number of bars used for calculating the moving average and standard deviation.
Source Price: Defaults to closing prices but can be adjusted.
Standard Deviation Multiplier: Controls the width of the bands.
Plots two types of Bollinger Bands Width:
Absolute width relative to the basis (Yellow Line).
Relative width compared to the close price (Fuchsia Line).
Fills the area between the two plotted lines for better visual context 🌈
Generates buy ('Buy') and sell ('Sell') labels based on crossover events 🏷️
Provides alerts for crossover signals to notify users of potential trade opportunities 🔔
HOW TO USE
Add the indicator to your TradingView chart by selecting it from the indicators list.
Adjust the Smoothing Length, Source Price, and Standard Deviation Multiplier as needed ⚙️.
Observe the plotted Bollinger Bands Width lines and filled areas for insights into market volatility.
Monitor the chart for buy and sell labels indicating potential trade opportunities.
Set up alerts based on the generated signals to receive notifications when conditions are met 📲.
LIMITATIONS
The indicator may generate false signals in highly volatile or ranging markets 🌪️.
Users should combine this indicator with other forms of analysis for more reliable trading decisions.
The effectiveness of the indicator may vary depending on the asset and timeframe being analyzed.
NOTES
Ensure that you have sufficient historical data available for accurate calculations.
Test the indicator thoroughly on demo accounts before applying it to live trading 🔍.
Customize the appearance and parameters as needed to fit your trading strategy.
RSI MA Distance IndicatorRSI MA Distance Indicator with levels showing the absolute distance for the mean of the RSI
KingMR Multi Stoch Div Strat w/MA CrossStochastics averages with 9/20 ma up/down indicators.
Reports Higher high / lower high/ lower low/ higher low signals of stochastic averages.
Best used with individual stochastics for full view of individual periods.
RSI-WMA + EMA Trend Filter | SL/TP DynamicA Simple Edge in Trending Markets
Base on RSI & WMA (RSI) Cross with EMA for trend filter.
Prezzo + Velocità + AccelerazionePrice + Velocity + Acceleration (Cycle Centered Analysis)
Description:
🔥 This indicator provides an advanced analysis of the cyclical behavior of the market through the calculation of:
📈 Centered Moving Average (150 periods, equivalent to a 450-period cycle on the 15m timeframe, adapted to 45m),
🏎️ Velocity: the difference between two consecutive centered moving averages (measuring immediate movement strength),
⚡ Acceleration: the difference between moving averages of the velocity (measuring the change in force, i.e., cyclic acceleration),
🌟 Smoothed Acceleration Moving Average (amplified ×100 for better visualization).
✅ All calculations respect the exact centering of data (offset -length/2). ✅ No subjective interpretations: pure mathematical cycle analysis.
How to read it:
The green/red line = Instantaneous velocity.
The smoothed green/red line = Instantaneous acceleration.
The yellow line = Smoothed acceleration moving average ×100, showing important phase inversions.
Operational use:
Velocity color changes → possible short-term cycle turning points.
Acceleration reversals → confirmations of cycle trend changes.
📊 Best suited for intraday and swing trading (45-minute and daily timeframes).
📚 A powerful tool to study and forecast market cycles based on pure mathematics without subjective biases.
Kevs RSI v2 - Divergence & Signals **Kevs RSI v2 - Divergence & Signals**
**Description:**
Kevs RSI v2 is an enhanced Relative Strength Index (RSI) indicator designed for traders who want more actionable insights from RSI behavior.
It combines a hybrid smoothing technique for a cleaner RSI line with intelligent divergence detection and automatic buy/sell signals.
Key features include:
- **Smoothed RSI** using a blend of WMA and EMA for a sharper, more responsive line.
- **Buy/Sell Signals** generated by oversold/overbought exits and confirmed divergence patterns.
- **Automatic Divergence Detection**, highlighting bullish and bearish divergences visually on the chart.
- **Customizable Settings** for RSI length, overbought/oversold levels, background fill, and divergence sensitivity.
This tool provides an excellent edge for traders who want to combine traditional RSI signals with modern divergence analysis.
---
# **How to Use:**
1. **Add to Chart:**
Apply "Kevs RSI v2 - Divergence & Signals" to your chart from the Indicators menu.
2. **Customize Settings (Optional):**
- Adjust the RSI Length, Overbought, and Oversold levels according to your trading style.
- Turn background fill on or off for better visibility.
- Modify the Divergence Lookback Period or Strength Threshold to fine-tune divergence sensitivity.
3. **Interpret Signals:**
- **Buy Signal:** A green "BUY" label appears when the RSI crosses back above the oversold zone or when bullish divergence is detected.
- **Sell Signal:** A red "SELL" label appears when the RSI crosses below the overbought zone or when bearish divergence is detected.
- **Bullish/Bearish Divergence:** Small green or red diamonds highlight divergence points with optional strength labels.
4. **Trade Responsibly:**
Combine these signals with your broader analysis (price action, trend structure, risk management) for best results.
---
**Notes:**
- Best used on 1-minute to daily charts.
- Ideal for day traders, swing traders, and crypto or forex traders looking to enhance entry/exit precision.
- Divergence detection is dynamic — lower the "Divergence Strength Threshold" to catch more divergences, or raise it to filter out weaker signals.
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 📈
______________________________________________________
• 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
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.
Intraday Return vs IndexA relative strength indicator. Visualizes cumulative session return vs. the SPX or another chosen benchmark.
4x Stochastic (20/80 and 15/85)4xstochastic range 20/80 or 15/85
Shows the 4 stochastics with default but ajustable settings:
Stochastic 1 (%K1 og %D1):
%K Length (periodK1): 9
%K Smoothing (smoothK1): 1
%D Smoothing (periodD1): 3
Stochastic 2 (%K2 og %D2):
%K Length (periodK2): 14
%K Smoothing (smoothK2): 1
%D Smoothing (periodD2): 3
Stochastic 3 (%K3 og %D3):
%K Length (periodK3): 40
%K Smoothing (smoothK3): 1
%D Smoothing (periodD3): 4
Stochastic 4 (%K4 og %D4):
%K Length (periodK4): 60
%K Smoothing (smoothK4): 1
%D Smoothing (periodD4): 10
GER MCB V2My version of Market Cipher B. V1
Combination of oscillator, vwap, rsi all in one.
Multi-timeframe.
Stochastics + CM Williams VixFix (Simple Buy Signal)📈 Stochastics + CM Williams VixFix (Simple Buy Signal)
This indicator combines two powerful tools to detect potential bottoming opportunities:
✅ Stochastics: Looks for momentum reversals. A signal is triggered when both %K and %D are below the oversold threshold (default: 20), suggesting the asset is deeply oversold.
✅ CM Williams Vix Fix: A volatility-based fear detector. When it spikes above its dynamic threshold, it indicates potential panic selling — often preceding a market bounce.
💡 Buy Signal is generated when:
%K and %D are both below 20
VixFix shows a volatility spike (green condition)
Use this script to identify high-probability reversal setups, especially during market corrections or panic phases.
Dual Momentum OSCOverview:
Momentum OSC is a dual-layered momentum oscillator that blends multi-timeframe momentum readings with moving average crossovers for deeper insight into trend acceleration and exhaustion. Perfect for confirming trend strength or spotting early shifts in momentum.
Features:
✅ Two separate momentum streams with customizable timeframes
✅ Smoothing via moving averages for both momenta
✅ Cross-timeframe momentum structure for confirmation and divergence
✅ Color-coded areas for intuitive visual interpretation
✅ Optional crossover markers to signal bullish/bearish momentum shifts
How It Works:
The script calculates two momentum values by comparing current price sources against lagged values across separate timeframes. Each is smoothed with a moving average to filter noise. The difference between momentum and its moving average forms a core component of trend strength confirmation. Optional visual circles mark bullish or bearish crossovers.
Customizable Inputs:
Timeframes, sources, lengths, and MA periods for both momentum streams
Toggle to display momentum cross signals (circles)
Works on any asset or timeframe
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy.
Key Features
Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime.
Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations.
3-State Entropy: Assesses market uncertainty across up, down, and neutral states.
Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC.
Multi-Timeframe Alignment: Syncs with higher timeframe trends for context.
Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling.
How to Use and Interpret
Histogram Interpretation
Positive (Above Zero): Bullish momentum; color intensity shows trend strength.
Negative (Below Zero): Bearish momentum; gradients indicate weakness.
Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points.
Regime Visualization
Green Background: Trending market; prioritize momentum signals.
Red Background: Mean-reverting market; focus on reversion signals.
Blue Background: Neutral state; balance both signal types.
Trading Signals
Buy: Histogram crosses above zero or shows positive divergence between histograms.
Sell: Histogram crosses below zero or exhibits negative divergence.
Confirmation: Match signals with regime background—green for trends, red for ranges.
Customization
Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity.
Adjust color themes and transparency to suit your charts.
Tips for Optimal Use
Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries.
Pairing: Combine with RSI, MACD, or volume indicators for confirmation.
Backtesting: Test settings on historical data for asset-specific optimization.
Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals.
Simulated Performance
Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries.
Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes.
Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise.
Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Volume by PriceDescription:
This Pine Script v6 indicator displays a chart that multiplies the volume by the closing price for each bar. It's often referred to as "monetary volume" or "traded value." This allows for the visualization of monetary activity on a price chart.
Technical Insights:
- Calculation: The indicator simply multiplies the volume of each bar (volume) by its closing price (close).
- Display: The result is plotted as a line in a separate pane below the main price chart. The height of the line at each point represents the product of the volume and the closing price at that time.
- Interpretation:
- Spikes in Volume * Price: Indicate significant monetary activity. This can signal strong interest in the asset at that price level.
- Low Volume * Price: Suggests a lack of interest or conviction.
- Divergences: If volume * price increases while the price decreases (or vice versa), it may signal a weakening of the current trend.
How to Use:
1. Identify Areas of Interest: Look for significant spikes in the volume * price chart. These areas may coincide with key support or resistance levels.
2. Confirm Trends: A price movement upwards (or downwards) accompanied by an increase in volume * price strengthens the validity of that trend.
3. Spot Divergences: Pay attention to situations where the volume * price does not confirm the price movement. This could indicate a potential reversal.
4. Combine with Other Indicators: Use this indicator in conjunction with other technical analysis tools (moving averages, RSI, MACD, etc.) for a more comprehensive view.
Potential Applications:
- Breakout Confirmation: A breakout of a price level (support or resistance) accompanied by increased volume * price is a stronger signal than a breakout with low volume.
- Identifying High Activity Zones: This indicator can help pinpoint price levels where a lot of trading has occurred, potentially indicating future support/resistance areas.
- Analyzing Market Participation: High volume * price suggests strong participation, while low volume * price indicates a lack of interest.
- Detecting Divergences: Divergences between volume * price and price can signal potential trend reversals.
- Momentum Trading: Combined with other momentum indicators, it can help identify entry and exit points.
Important Notes:
- This indicator is based on the closing price. It does not take into account the highs and lows of each bar.
- Volume * price is an analysis tool, not a standalone trading system. It should be used in conjunction with other indicators and strategies.
- The interpretation of volume * price may vary depending on the market and the time frame being analyzed.
Feel free to adapt this description to your own style and needs. You can also add concrete examples or screenshots to illustrate its use.
