stockan – Oscillator Matrixstockan – Oscillator Matrix
A multi-layer RSI-based momentum & trend tool with signal smoothing, short-segment regression lines, fade-style histogram, reversal markers, and a blocky heat-bar.
stockan is designed to give you a crystal-clear view of short-term momentum shifts and trend bias all in one pane. It builds upon the classic 0–100 RSI by:
Smoothing it with a quick SMA to generate a clean crossover signal.
Drawing tiny linear-regression segments on both RSI and its signal line to highlight the slope (i.e. local trend direction) over a handful of bars.
Filling between RSI and signal in green/red so you can instantly see when momentum flips.
Plotting a soft-fade histogram of (RSI – signal), where stronger moves produce more opaque bars, while smaller divergences fade into the background.
Marking local peaks and troughs on the RSI curve with dots—perfect for fine-tuning entries or exits.
Rendering a bottom “heat” strip as blocky columns that switch from red to green once RSI crosses your chosen threshold, giving you a persistent bias indicator.
🔧Inputs & Settings
You can customize every aspect of stockan in the Indicator Settings:
Price Source (default = Close)
Choose which price series (Open, High, Low, Close, or a custom series) you want the RSI to use.
Oscillator Length (RSI) (default = 14)
The look-back period for the RSI calculation. Shorter values make the oscillator more sensitive.
Signal Smoothing (default = 3)
The length of the simple moving average applied to the RSI. Higher values produce slower, cleaner signals.
Trend-LR Length (default = 20)
Number of bars used in each linear-regression segment. Longer lengths smooth trends but react more slowly.
Heat Threshold (default = 50)
The cutoff level (on the 0–100 RSI scale) above which the bottom heat-blocks turn green.
Histogram Max for Fade (default = 20)
The absolute difference (RSI – signal) that maps to 100% opacity in the histogram. Smaller differences fade out; larger ones stand out.
🚀 How to Use stockan
Identify Momentum Shifts
Watch for the green/red fill to flip—when the RSI line crosses above its signal, green fill indicates building bullish momentum; red indicates bearish pressure.
Sense Short-Term Trend with Mini-Regression Lines
The tiny sloping segments on both RSI and signal lines give an immediate visual cue: upward-tilted segments = short-term uptrend, downward = downtrend.
Gauge Strength with the Fade-Style Histogram
Opaque bars mean strong momentum divergence; faint bars mean weak or consolidating moves. Use these to avoid low-conviction signals.
Fine-Tune Entries & Exits Using Reversal Dots
Gray dots mark local RSI highs (possible short setups), green dots mark local lows (possible long entries).
Confirm Bias with the Heat-Bar
A steady green row at the bottom tells you RSI has been above your threshold consistently—ideal for trend-following. A red row suggests caution or counter-trend trades.
🎯 Benefits
All-in-One Pane: No need to juggle RSI, MA, histogram and custom script separately.
Clean Visuals: Soft fades and blocky heat bars reduce clutter and highlight what matters.
Non-Repainting: Uses only closed-bar data; once a bar is closed, nothing moves or disappears.
Highly Customizable: Every length, threshold, color and transparency can be adjusted in Settings.
Lightweight & Self-Contained: Pure Pine v5—no external libraries, no proprietary code—fully compliant with TradingView’s policies.
M-oscillator
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals
Description:
Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime:
Trend Filter: 200-period exponential moving average
Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line
Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar
Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar
Key Features:
Minimalist display: only the 200 EMA and entry arrows
Customizable inputs: EMA length, RSI length, RSI smoothing period
Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures)
Yellow label text: for optimal visibility on dark or light chart backgrounds
How to Use:
Add the script to your TradingView chart.
Choose your timeframe and adjust inputs as needed.
Take only the long signals when price is above the EMA, and only the short signals when price is below.
Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples.
Notes:
Designed as a regime-based entry filter—no exits or background fills included.
Feel free to combine with your own stop-loss, take-profit, and money-management rules.
Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Stockan Momentum MeterStockan Momentum Meter (SMM)
Advanced Momentum Acceleration Oscillator
Version: 1.0 | Category: Momentum Oscillator | Type: Open Source
Detailed Technical Specification
Key Features
Dual-Layer Momentum Calculation
Calculates momentum using double derivative of price (ROC of ROC)
First Layer: Standard Rate of Change (ROC)
Second Layer: Momentum of Momentum (ROC applied to first ROC)
Signal Smoothing System
EMA filtering of raw momentum values
Adaptive smoothing based on user-defined length
4-State Color Coding
Quadrant-based visualization system:
Strong Bullish (Green): Histogram > Threshold
Moderate Bullish (Blue): 0 < Histogram ≤ Threshold
Moderate Bearish (Orange): -Threshold ≤ Histogram < 0
Strong Bearish (Red): Histogram < -Threshold
Dynamic Threshold System
Adjustable baseline levels for sensitivity control
Symmetrical upper/lower boundaries
Detailed Working Mechanism
Calculation Pipeline
Raw Momentum (momo):
momo = ROC(ROC(close, length), length)
Measures acceleration/deceleration in price movements
Double derivation filters out noise while capturing momentum shifts
Smoothed Signal (ema_momo):
ema_momo = EMA(momo, length)
Creates reference line for momentum comparison
Reduces whipsaws in volatile markets
Histogram Value:
histogram = momo - ema_momo
Visualizes difference between raw and smoothed momentum
Positive values = accelerating momentum
Negative values = decelerating momentum
PARAMETER CONFIGURATION
Momentum Length (Default: 14)
Range: 1-100 | Controls historical window for momentum calculations
Base Line Threshold (Default: 0.0)
Range: 0-100 | Determines sensitivity for color changes
COLOR CODING SYSTEM
GREEN Signals:
Histogram value ABOVE threshold level = Strong bullish momentum
BLUE Signals:
Positive values BETWEEN 0 and threshold = Moderate bullish pressure
ORANGE Signals:
Negative values BETWEEN 0 and -threshold = Moderate bearish pressure
RED Signals:
Histogram value BELOW -threshold = Strong bearish momentum
Key Benefits for Traders
Early Reversal Detection
Identifies momentum exhaustion before price reversal occurs
Divergence Spotting
Clear visualization of:
Bullish divergence (Price ↓ + Histogram ↑)
Bearish divergence (Price ↑ + Histogram ↓)
Trend Strength Measurement
Histogram height indicates momentum intensity
Multi-Timeframe Compatibility
Works effectively on:
Scalping (1-15min)
Swing Trading (1H-4H)
Position Trading (Daily-Weekly)
Customizable Sensitivity
Adjust threshold levels for:
Day traders (higher threshold = fewer signals)
Long-term investors (lower threshold = more sensitivity)
Usage Scenarios
Bullish Signal
Green histogram crossing above threshold
Blue → Green color transition
Bearish Signal
Red histogram crossing below negative threshold
Orange → Red color transition
Confirmation Tool
Use with trend indicators (EMA, MACD):
Green histogram + Price above 200 EMA = Strong uptrend
Red histogram + Price below 200 EMA = Strong downtrend
KEY ADVANTAGES OVER POPULAR INDICATORS
Faster Signals vs RSI
Detects momentum shifts earlier through double ROC calculation
Clearer Visuals vs MACD
Four-color system replaces confusing line crossovers with instant visual cues
Better Filtering vs Stochastic
Dual-layer calculation reduces market noise more effectively
Custom Sensitivity
Adjustable threshold outperforms fixed settings in traditional oscillators
How to Use
Add to chart from TradingView Public Library
Default settings work for most timeframes
Adjust parameters based on:
Aggressive trading: Reduce length (10-12)
Conservative trading: Increase length (20-25)
Combine with:
Trendlines for breakout confirmation
Volume indicators for signal validation
Notes
Best Performance: Ranging markets with clear support/resistance
Risk Management: Use with stop-loss (2x ATR recommended)
Limitations: May give false signals during low-volume periods
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
________________________________________
How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
________________________________________
How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
________________________________________
Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
________________________________________
TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
________________________________________
How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
________________________________________
As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
________________________________________
Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Demo GPT - Bullish RSI + Stoch Signals//@version=6
indicator(title="Demo GPT - Bullish RSI + Stoch Signals", shorttitle="Bullish RSI Stoch", overlay=true)
// Select Timeframe (5m or 15m)
tf = input.timeframe("5", title="Select Timeframe (5m/15m)")
// Input parameters
lengthRSI = input.int(14, "RSI Length", minval=1)
lengthStoch = input.int(14, "Stochastic Length", minval=1)
smoothK = input.int(3, "Stoch %K Smoothing", minval=1)
smoothD = input.int(3, "Stoch %D Smoothing", minval=1)
// Calculate RSI & Stochastic in the selected timeframe
rsiValue = request.security(syminfo.tickerid, tf, ta.rsi(close, lengthRSI))
stochK = request.security(syminfo.tickerid, tf, ta.sma(ta.stoch(rsiValue, rsiValue, rsiValue, lengthStoch), smoothK))
stochD = request.security(syminfo.tickerid, tf, ta.sma(stochK, smoothD))
// Bullish Buy Condition
bullishBuy = ta.crossover(stochK, 20) and rsiValue < 50 and stochK > stochD
// Bullish Exit Condition
bullishExit = ta.crossunder(stochK, 80) and stochK < stochD
// Plot Buy Signals
plotshape(series=bullishBuy, title="Bullish Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY", size=size.small)
// Plot Exit Signals
plotshape(series=bullishExit, title="Bullish Exit", location=location.abovebar, color=color.red, style=shape.labeldown, text="EXIT", size=size.small)
// Background Highlighting in Bullish Zones (Fixed Transparency)
bgcolor(bullishBuy ? color.new(color.green, 85) : na)
// Alerts
alertcondition(bullishBuy, title="Bullish Buy Alert", message="Bullish RSI + Stoch Buy Signal")
alertcondition(bullishExit, title="Bullish Exit Alert", message="Bullish RSI + Stoch Exit Signal")
Smart Money Flow Index GoldenCross+DeathCross [GCDC]
SMART MONEY FLOW INDEX ( SMFI-GCDC )
THE MAIN OBJECTIVE
This SMFI provides information on the current strength conditions of banker/smart money flows to guide market movements.
As we know, traders need to analyze the strengths and weaknesses of the current market based on the average price and dominance percentage in each transaction that has occurred. This situation will affect the subsequent price movements. So, we need to identify the strengths of buyers and sellers (demand and supply) and their habits to see the impact on the near term and the next trend.
THE FUNCTION OF OBSERVATION & SIGNAL;
Therefore, SMFI-GCDC is one way of analyzing the current strengths and weaknesses of a market as an assessment for a potential domination. The key is following the same trend as the habits of bankers/smart money.
Banker flow is below the midline > weak, bearish, downward trend.
Banker flow is above the midline > strong, bullish, move-up trend, dominated by bankers.
The observations and signals used include two main functions ; the death cross & golden cross signals by moving average(MA), and the banker inflow rate.
HOW TO USE
Signal display;
1.Red plot > shows the strength of banker inflows into a market. It is indicated by a thicker red
plot.
2.Midline signal > the horizontal circles, the middle levels of banker inflows, at the value level
of 50/100.
3.Banker Moving Average > the white plot, average price movement condition.
4.Blue triangle > goldencross , the Moving Average cross-over the Midline, the increasing
dominance of bankers flow, potential of move-up.
5.Orange triangle > deathcross , the Moving Average cross-down the Midline, the increasing
dominance of bankers flow, the potential of downward.
6.Green cross > oversold area, the potential of reversal.
7.Yellow cross > overbought area, the potential of reversal.
Banker's trend below 50
= market is weakening/prices are falling
Banker's trend above 50
= market strengthening/prices rising
observe the supply/demand zone to identify the exact potential
Trend Oscillator# Trend Oscillator: Advanced Technical Analysis Indicator
## Overview
The Trend Oscillator is a sophisticated technical analysis tool designed to identify market trends, momentum shifts, and potential reversal points. Unlike basic oscillators, this indicator combines key analytical approaches to provide a more comprehensive market analysis:
1. **Mean Deviation-Based Oscillator**:(160) At its core, it measures price deviations from moving averages normalized by mean deviation
2. **Fixed Reference Levels**: Clear overbought/oversold thresholds that define extreme market conditions
3. **Trend Filtering**: EMA(36)-based trend direction confirmation to reduce false signals
## Technical Foundation
### Core Calculation Method
The indicator derives its primary oscillator value using a normalized deviation method:
- Calculates a typical price (average of source + high + low)
- Measures the deviation of typical price from its moving average
- Normalizes this deviation by the mean deviation multiplied by a scaling factor (0.015)
This formula effectively creates a momentum oscillator that quantifies how far price has moved from its equilibrium value, relative to typical market volatility.
### Fixed Overbought/Oversold Levels
The Trend Oscillator uses consistent reference levels to identify extreme market conditions:
- Standardized overbought level set at +100
- Standardized oversold level set at -100
- Neutral zone centered around the zero line
These fixed thresholds provide reliable reference points for signal generation and trend strength assessment.
### Trend Filtering Mechanism
The indicator incorporates an EMA-based trend filter that:
- Calculates a directional bias using price position relative to its EMA 36
- Modifies oscillator interpretation based on the prevailing trend
- Helps distinguish between counter-trend corrections and actual reversals
## How to Use the Trend Oscillator
### For Trend Identification
- **Bullish trend**: Oscillator above zero with positive slope
- **Bearish trend**: Oscillator below zero with negative slope
- **Trend strength**: Distance from zero line indicates trend intensity
- **Trend confirmation**: When oscillator and trend filter align
### For Entry Signals
- **Long entry opportunities**:
- Oscillator crossing above the signal line during uptrend
- Oscillator exiting oversold territory with trend filter positive
- Price showing strength while oscillator moves from negative to positive
- **Short entry opportunities**:
- Oscillator crossing below the signal line during downtrend
- Oscillator exiting overbought territory with trend filter negative
- Price showing weakness while oscillator moves from positive to negative
### For Exit Signals
- **Taking profits**: When oscillator approaches extreme levels in your trade direction
- **Stop-loss placement**: When oscillator crosses signal line against your position
- **Trend change warning**: When oscillator crosses zero line against your position
## Customization Options
### General Settings
- **Length**: (160)Controls the calculation period for the oscillator (higher values create smoother, less sensitive readings)
- **Source**: The price data input (close, open, high, low, hl2, hlc3, etc.)
### Signal Line Settings
- **Signal Line**: Optional smoothed version of the oscillator for crossover signals
- **Signal Length**:(36) Determines signal line responsiveness
### Level Settings
- **Overbought/Oversold Levels**: Standard thresholds that define extreme conditions
### Trend Filter Settings
- **Trend Period**: Lookback period for trend direction calculation
- **Trend Source**: Price data used for trend determination
### Visual Settings
- **Show Background Color**: Toggles colored background based on oscillator readings
- **Background Transparency**: Controls the opacity of background coloring
## Trading Strategy Applications
### Trend-Following Approach
1. Enter in the direction of the prevailing trend when:
- Oscillator and trend filter align
- Oscillator crosses signal line in trend direction
- Price pulls back to neutral zone during strong trend
2. Exit when:
- Oscillator crosses signal line against position
- Trend filter changes direction
- Oscillator reaches extreme level in your trade direction
### Counter-Trend Approach
1. Look for reversal opportunities when:
- Oscillator reaches extreme overbought/oversold levels
- Signal line crossover occurs at extreme readings
- Price action confirms potential reversal
2. Exit when:
- Target price levels are reached
- Oscillator returns to neutral zone
- New signals emerge in opposite direction
## Indicator Strengths
- Combines momentum and trend analysis in one comprehensive tool
- Consistent reference levels provide reliable benchmarks
- Reduces false signals through trend filter confirmation
- Visual color-coding provides intuitive market context
## Best Practices
- Effective on all timeframes for trend analysis
- Use in conjunction with support/resistance or price action
- Start with default settings and gradually adjust to your trading style and instrument
- Consider the overall market context when interpreting signals
The Trend Oscillator offers traders a comprehensive technical analysis framework that goes beyond simplistic overbought/oversold readings by incorporating trend context and normalized deviation methodology—providing a nuanced approach to market analysis with clear, consistent reference points.
Precision Trend Shot | JeffreyTimmermansPrecision Trend Shot
The "Precision Trend Shot" Indicator is an advanced technical tool designed to provide a dynamic and adaptive view of market trends. By combining three core components—RSI Oscillator, LSMA ATR, and Adaptable Trend—this indicator delivers precise signals that help traders identify market direction, volatility, and potential trend reversals. The calculated total score, derived from these components, provides a clear, actionable view of market conditions.
Key Features
Multi-Component Analysis: Integrates three key indicators (RSI, LSMA ATR, and Adaptable Trend) for a comprehensive view of market trends.
Dynamic Trend Classification: Categorizes market states as "Bullish" or "Bearish", based on a combined score.
Standard Deviation Bands: Displays standard deviation bands around the score line for enhanced volatility visualization.
Gradient Background Coloring: Visually highlights market phases with gradient colors, aiding quick interpretation.
Customizable Visuals: Offers extensive settings for coloring, background gradients, and signal visibility.
Real-Time Alerts: Generates alerts for significant trend changes or transitions between market states.
Inputs & Settings
RSI Settings:
RSI Source: Default: Close price. Defines the data source for RSI calculation.
RSI Length: Default: 10. Sets the period for calculating RSI.
LSMA ATR Settings:
LSMA Source: Default: Close price. Defines the data source for LSMA calculation.
LSMA Length: Default: 21. Sets the period for calculating the Least Squares Moving Average.
ATR Length: Default: 12. Sets the period for calculating the Average True Range.
Adaptable Trend Settings:
Trend Length: Default: 5. Sets the period for calculating the trend.
Smoothing Length: Default: 5. Controls the smoothing of trend volatility.
Sensitivity: Default: 1.5. Adjusts the sensitivity of trend bands.
Standard Deviation Settings:
Enable Standard Deviation Bands: Default: True. Toggles the display of standard deviation bands.
Standard Deviation Length: Default: 20. Sets the period for standard deviation calculation.
Standard Deviation Multiplier: Default: 2.0. Adjusts the width of the bands.
Smoothing Length: Default: 5. Controls the smoothing of standard deviation bands.
Visual Settings:
Enable Candle Coloring: Default: True. Colors candles based on market state (Bullish or Bearish).
Enable Background Gradient: Default: True. Applies gradient coloring to the background based on trend direction.
Score Line Colors: Customize colors for bullish or bearish score lines.
Calculation Process
RSI Calculation:
Computes the Relative Strength Index (RSI) of the selected source data.
Signals bullish (RSI > 50) or bearish (RSI < 50) conditions.
LSMA ATR Calculation:
Computes LSMA for trend direction and ATR for volatility measurement.
Generates buy and sell signals based on crossover and crossunder of ATR bands.
Adaptable Trend Calculation:
Calculates dynamic trend levels using EMA and standard deviation bands.
Classifies trend states as Bullish or Bearish.
Combined Signal Calculation:
Averages the signals from RSI, LSMA ATR, and Adaptable Trend to generate a total score.
Classifies the market as "Bullish" or "Bearish" based on this score.
Standard Deviation Bands:
Plots standard deviation bands around the combined signal for enhanced volatility analysis.
Gradient Background Coloring:
Colors the chart background based on the identified market state (Bullish or Bearish).
How to Use the Precision Trend Shot Indicator
Identifying Market States:
Bullish Market: Total score > 0, gradient background green.
Bearish Market: Total score < 0, gradient background red.
Confirming Signals:
Use RSI and LSMA ATR signals for early indications.
Use Trend Recon for confirming longer-term trend direction.
Visualizing Volatility:
Standard deviation bands highlight potential reversal zones.
Dynamic Alerts
The Precision Trend Shot Indicator includes a robust alert system for real-time market transitions:
Bullish to Bearish: Market shifts from a bullish to bearish trend.
Bearish to Bullish: Market shifts from a bearish to bullish trend.
Conclusion
The Precision Trend Shot Indicator is an advanced, versatile tool for identifying market trends, visualizing volatility, and generating actionable signals. With customizable settings, dynamic alerts, and clear visual representation, it is an essential addition to any trader’s toolkit.
-Jeffrey
I. Crassus Coin | Stocks Quality⚔️ The Roman Triumvirate Trading Suite ⚔️
In the ancient world, Rome was ruled by three powerful men — Crassus, Pompey, and Caesar. Together, they formed a Triumvirate that commanded wealth, military strength, and absolute authority. Now, their legendary wisdom and power have been reborn in your trading strategy.
🔱 Master the Market with the Roman Triumvirate:
I. Crassus Coin | Stocks Quality: The Wealth of Crassus — evaluate the quality and strength of stocks with a precision grading system.
II. Pompey Artillery | Entry Signal: The Tactical Might of Pompey — strike with precision using advanced entry logic, filtering only the strongest setups.
III. Caesar's Legion | Volume: The Unstoppable Force of Caesar — control risk and maximize opportunity with adaptive volume analysis.
Together, these three pillars form a complete, battle-tested trading system that allows you to trade with the wisdom of Crassus, the tactical might of Pompey, and the fearless strength of Caesar. ⚡
⚡ I. Crassus Coin | Stocks Quality
📌 Description:
The Crassus Coin is your market evaluation engine, providing a precise grading system that scores stocks based on their quality and context. Inspired by the immense wealth of Crassus, this tool helps you identify high-value opportunities.
🔧 Core Features:
📊 Multi-factor grading system (A, B, C) for fast stock quality analysis.
📈 Tracks critical metrics, including:
Weekly Trend State (Bullish, Bearish, Neutral)
RSI and MACD Direction
Price and Volume Conditions
Bollinger Bands Breakouts
🚦 Alerts for high-confluence Grade A signals.
⚔️ How to Use:
Add Crassus Coin to your chart.
Monitor the grading system:
"A" Grade = Strong Quality (Prime for trading).
"B" Grade = Moderate Quality.
"C" Grade = Weak (Avoid).
Use this as your foundation to determine which stocks are worth trading.
⚔️ The Complete Roman Triumvirate Trading System
With all three modules combined, you have a complete tactical system:
Crassus Coin | Stocks Quality: Know which assets are worth trading.
Pompey Artillery | Entry Signal: Execute precise trades with high-probability setups.
Caesar's Legion | Volume: Manage risk and adapt to market strength with real-time volume analysis.
🚀 Why Use the Roman Triumvirate?
⚡ Master Market Context (Crassus Coin).
🎯 Strike with Precision (Pompey Artillery).
🛡️ Control Risk with Discipline (Caesar's Legion).
🔥 Trade like a conqueror, plan like a general, and adapt like an emperor.
COT Raw Data - DisaggregatedAn invite‐only TradingView script that delivers the original Disaggregated COT raw dataset—showing gross long and short positions, net long-short balances, and total open interest from the aggregate CFTC report. Updated every Friday, it gives you unfiltered, week-by-week data you can pull directly onto any futures chart for deep back-testing or live analysis.
COT Raw Data -FinancialAn invite‐only TradingView script that delivers the original Traders in Financial Futures COT raw dataset—showing gross long and short positions, net long-short balances, and total open interest from the aggregate CFTC report. Updated every Friday, it gives you unfiltered, week-by-week data you can pull directly onto any futures chart for deep back-testing or live analysis.
RSV % Change - SelectRSV (Relative Strength Valuation) Model
Built exactly on Bernd Skorupinski’s original framework, the RSV Model first computes each asset’s percentage change over a user-defined period, then measures the spread between that change and the equivalent move in a chosen benchmark (DXY by default, or bonds, gold, or BTC). It normalizes this spread over a rolling lookback window to produce a 0–100 RSV reading, then recentres it into a –100 to +100 standardized score—so you see only the true valuation-adjusted momentum. Readings above +75 flag overvalued extremes; readings below –75 expose undervalued opportunities. With adjustable length and lookback settings, it delivers the identical edge Bernd Skorupinski’s trusts, stripped of lag and noise.
RSV % Change - SelectRSV (Relative Strength Valuation) Model
Built exactly on Bernd Skorupinski’s original framework, the RSV Model first computes each asset’s percentage change over a user-defined period, then measures the spread between that change and the equivalent move in a chosen benchmark (DXY by default, or bonds, gold, or BTC). It normalizes this spread over a rolling lookback window to produce a 0–100 RSV reading, then recentres it into a –100 to +100 standardized score—so you see only the true valuation-adjusted momentum. Readings above +75 flag overvalued extremes; readings below –75 expose undervalued opportunities. With adjustable length and lookback settings, it delivers the identical edge Bernd Skorupinski’s trusts, stripped of lag and noise.
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days.
The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria:
Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1
Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1
Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1.
Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1.
MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1.
William's R% : If the current William's R% is greater than the previous one, then +1, else -1.
William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1.
Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1.
Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1.
Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1.
Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum.
By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores).
Additional Features
Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist.
Suggested Use
It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you.
Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
Multi RSI (3,7,14,21,50)Multi time frame RSI. Helps figure out the overall market on multi time frames.
Fire Sling Shot Stochastic// ============================================================================
// Stochastic Indicator (5,3,3) Explanation
// ============================================================================
//
// The Fire Sling Shot strategy uses a Stochastic oscillator (5,3,3) as a
// confirming indicator to enhance the reliability of EMA crossover signals.
//
// WHAT IS STOCHASTIC?
// The Stochastic oscillator is a momentum indicator that compares a security's
// closing price to its price range over a specific period. The indicator
// oscillates between 0 and 100, with readings above 80 considered overbought
// and readings below 20 considered oversold.
//
// SETTINGS USED:
// - %K Period: 5 (faster sensitivity to price movements)
// - %D Period: 3 (smoothing of %K)
// - Smoothing: 3 (additional smoothing applied to the %K line)
// - Overbought Level: 80
// - Oversold Level: 20
//
// HOW IT'S USED IN THIS STRATEGY:
//
// 1. Bull Signal Enhancement:
// When the 15 EMA crosses above the 50 EMA (primary signal), we check
// if the Stochastic is below 20 or has just crossed above 20. This suggests
// momentum is starting to turn upward from an oversold condition, improving
// the quality of the long entry.
//
// 2. Bear Signal Enhancement:
// When the 15 EMA crosses below the 50 EMA (primary signal), we check
// if the Stochastic is above 80 or has just crossed below 80. This suggests
// momentum is starting to turn downward from an overbought condition,
// improving the quality of the short entry.
//
// 3. Early Warning:
// Stochastic movements below 20 or above 80 can provide early warning of
// potential EMA crossovers, allowing traders to prepare for possible entry
// signals.
//
// The Stochastic filter is optional and can be enabled/disabled through the
// strategy inputs. When disabled, the strategy relies solely on EMA crossovers
// for entry signals.
//
// NOTE: While Stochastic can improve signal quality, no indicator is perfect.
// False signals can occur, especially in ranging or choppy markets. Always
// combine with proper risk management and consider the overall market context.
//
// ============================================================================
Parsifal.Swing.FlowThe Parsifal.Swing.Flow indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.Flow – Specifics
The Parsifal.Swing.Flow module aggregates price and trading flow data per bin (a "bin" refers to a single candle or time bucket) and smooths this information over recent historical data to reflect ongoing market dynamics.
________________________________________
How Swing.Flow Works
For each bin, individual data points—called "bin-infolets"—are collected. Each infolet reflects the degree and direction of trading flow, offering insight into buying and selling pressure.
The module processes this data in two steps:
1. Aggregation:
All bin-infolet values within a bin are averaged to produce a single bin-flow value.
2. Smoothing:
The resulting bin-flow values are then smoothed across multiple bins, typically using short-term EMAs.
The outcome is a dynamic representation of the current swing state based on recent trading flow activity.
________________________________________
How to Interpret Swing.Flow
• Range-bound but not a true oscillator:
While individual bin-infolets are range-bound, the Swing.Flow indicator itself is not a classical oscillator.
• Overbought/Oversold Signals:
Historically high or low values in Swing.Flow may signal overbought or oversold conditions.
• Chart Representation:
o A fast curve (orange)
o A slow curve (white)
o A shaded background that illustrates overall market state
• Mean Reversion Signals:
Extreme curve values followed by reversals may indicate the onset of a mean reversion in price.
________________________________________
Flow Background Value
The Flow Background Value represents the net state of trading flow:
• > 0 (green shading) → Bullish mode
• < 0 (red shading) → Bearish mode
• The absolute value reflects the confidence level in the current trend direction
________________________________________
How to Use the Parsifal.Swing.Flow
Several change points can act as entry point triggers:
• Fast Trigger:
A change in the slope of the fast signal curve
• Trigger:
The fast line crossing the slow line or a change in the slope of the slow signal
• Slow Trigger:
A change in the sign of the Background Value
These triggers are visualized in the accompanying chart.
Additionally, market highs and lows that align with the swing indicator values can serve as pivot points for the ongoing price process.
________________________________________
As always, this indicator is best used in conjunction with other indicators and market information.
While Parsifal.Swing.Flow offers valuable insight and potential entry points, it does not predict future price action.
Rather, it reflects the most recent market tendencies, and should therefore be applied with discretion.
________________________________________
Extensions
• Aggregation Method:
The current approach—averaging all infolets—can be replaced by alternative weighting schemes, adjusted according to:
o Historical performance
o Relevance of data
o Specific market conditions
• Smoothing Period:
The EMA-based smoothing period can be varied. In general, EMAs can be enhanced to reflect relevance-weighted probability measures, giving greater importance to recent data for a more adaptive and dynamic response.
• Advanced Smoothing:
EMAs can be further extended to include negative weights, similar to wavelet transform techniques, allowing even greater flexibility in smoothing methodologies.
Parsifal.Swing.RSIThe Parsifal.Swing.RSI indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module facilitates judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These swings within the trend are inherently tradable.
They can be approached:
• One-sidedly, in alignment with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions.
Note: In strong trends, mean reversions often appear as sideways consolidations, making one-sided trades more robust.
________________________________________
The Parsifal Swing Suite
The suite provides insights into current swing states and offers various entry point triggers.
All modules act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., the RSI, which ranges from 0 to 100%).
________________________________________
The Parsifal.Swing.RSI – Specifics
The Parsifal.Swing.RSI is the simplest module in the suite. It uses variations of the classical RSI, explicitly combining:
• RSI: 14-period RSI of the market
• RSIMA: 14-period EMA of the RSI
• RSI21: 14-period RSI of the 21-period EMA of the market
• RSI21MA: 14-period EMA of RSI21
Component Behavior:
• RSI: Measures overbought/oversold levels but reacts very sensitively to price changes.
• RSIMA: Offers smoother directional signals, making it better for assessing swing continuation. Its slope and sign changes are more reliable indicators than pure RSI readings.
• RSI21: Based on smoothed prices. In strong trends, it reaches higher levels and reacts more smoothly than RSI.
• RSI21MA: Further smooths RSI21, serving as a medium-term swing estimator and a signal line for RSI21.
When RSI21 exceeds RSI, it indicates trend strength.
• In uptrends, RSI21 > RSI, with larger exceedance = stronger trend
• In downtrends, the reverse holds
________________________________________
Indicator Construction
The Swing RSI combines:
• RSI and RSIMA → short-term swings
• RSI21 and RSI21MA → medium-term swings
This results in:
• A fast swing curve, derived from RSI and RSI21
• A slow swing curve, derived from RSIMA and RSI21MA
This setup is smoother than RSI/RSIMA alone but more responsive than using RSI21/RSI21MA alone.
________________________________________
Background Value
The Background Value reflects the overall market state, derived from RSI21:
• > 0: shaded green → bullish mode
• < 0: shaded red → bearish mode
• The absolute value reflects confidence in the current mode
________________________________________
How to Use the Parsifal.Swing.RSI
Several change points can act as entry triggers:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crossing slow line or change in slow signal's slope
• Slow Trigger: change in sign of the Background Value
Examples of these triggers are shown in the chart.
Additionally, market highs and lows aligned with swing values can serve as pivot points in evolving price movements.
________________________________________
As always, this indicator should be used alongside other tools and information in live trading.
While it provides valuable insights and potential entry points, it does not predict future price action.
It reflects the latest tendencies and should be used judiciously.
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA .
Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA.
Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA.
When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend.
When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend.
*Use at own risk.
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA .
Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA.
Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA.
When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend.
When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend.
*Use at own risk.
ATR% Multiple Line&TF By NorawitMTF ATR in Percentage
Multiple Line and Timeframe for differences analysis,can change color in any line
ATR % = ATR(n)/Close*100
Wait for Develop more functions
Enjoy
MACD_DIXCHANGE with Divergences and Target PricesSummary
This indicator is an advanced momentum oscillator, inspired by the work of DAVIDGLZ. It is designed to help traders visualize the strength and direction of the current trend, identify potential market exhaustion or turning points through automatic divergence detection, and provides key reference levels and price estimates for a more comprehensive analysis.
Main Tools and Features
Main Oscillator: The colored line that fluctuates above and below a central zero line.
· Its position (above/below zero) indicates the general direction of momentum
(bullish/bearish).
· Its color changes gradually (typically green/lime for bullish, red/maroon for bearish) and
can suggest the strength of that momentum.
Signal Line: A smoothed version (moving average) of the main line. Crossovers between the main line and the signal line are key events that can generate early warning signals of potential changes.
Histogram (MACD Style): The vertical bars representing the difference (strength) between the Main Oscillator and its Signal Line.
· The height of the bars indicates the magnitude of the difference.
· Its colors change to help visualize whether momentum is accelerating (brighter colors like
Lime Green or Red) or decelerating (darker colors like Green or Maroon).
Key Horizontal Levels: Three reference lines: an Upper Level, a Lower Level (both user-configurable), and the central Zero Line. The area between the upper and lower levels is shaded, creating a visual "operating zone". These levels help identify when the oscillator reaches zones considered relatively over-extended.
Crossover Alerts: Small visual triangles (green for bullish crossover, red for bearish) that mark exactly when the Main Oscillator crosses its Signal Line.
Automatic Divergence Detector: A powerful tool that compares price movement with the Histogram's movement to find discrepancies:
· Detects Regular Bullish Divergences: Price makes lower lows, but the Histogram makes higher lows (potential bottom).
· Detects Regular Bearish Divergences:Price makes higher highs, but the Histogram makes lower highs (potential top).
Divergence Visualization: When a divergence is detected, it automatically draws:
· A dotted line directly on the Histogram connecting the two relevant lows (bullish) or highs (bearish) that form the divergence.
·A small "DIV" text label positioned centered on the midpoint of that dotted divergence line.
Estimated Price Labels: Very useful contextual information displayed to the right of the indicator (only on the last chart bar):
· Shows the approximate price the asset would need to reach right now for the Main Oscillator to touch the Upper Level (H ≈ ...), the Lower Level (L ≈ ...), the Zero Line (Mid ≈ ...), or the crossover point with the Signal Line (Cruce ≈ / Cross ≈ ...). These are dynamic estimates, not fixed predictions.
· Optional Background Color ("Double Peak" Pattern): (If enabled in settings) The indicator's panel background changes to green or red to highlight a specific condition: when the histogram forms two impulses ("mountains") in the same direction, and the second impulse begins to show signs of exhaustion by retreating towards zero.
·Information Panel: Displays the stylized name of the indicator in the bottom-right corner.
How to Interpret and Use the Tools
· Trend and Momentum: Use the Main Oscillator's position (above/below zero) and its crossovers with the Signal Line as basic directional indicators. Confirm strength and acceleration with the Histogram.
· Reversal Signals: Divergences are key signals of potential trend exhaustion. A bullish divergence after a downtrend, or a bearish divergence after an uptrend, warns of a possible change in direction. Important: Do not trade divergences alone; always seek confirmation (price action, patterns, other indicators).
· Extreme Conditions: Use the Upper and Lower Levels as guides to identify when the indicator reaches relatively overextended zones, where a pullback or pause might be more likely.
· Price Context: The Estimated Price Labels help you relate the indicator's levels to specific price points on the asset in the current moment.
· Exhaustion Signal (Background): If the background color feature is active, use it as an additional alert that a secondary push in the histogram might be failing.
Configuration
The indicator offers a wide range of customizable settings via its Inputs:
· Adjust the "speed" or sensitivity of the Main Oscillator (by changing its Moving Average settings).
· Adjust the smoothing of the Signal Line.
· Define your own Upper and Lower Horizontal Levels.
· Adjust the sensitivity of Divergence detection (by changing pivot parameters).
· Enable or disable most visual features (divergence lines/labels, price labels, optional
background color).
"This indicator is intended for use on timeframes of 3 minutes or higher and comes pre-configured with functional default settings. Modifying these settings may alter the original intended functionality of the indicator."
Disclaimer
This indicator is a tool for technical analysis and should not be considered investment advice or an infallible signal. Trading involves risks. Use this indicator as part of a well-defined trading strategy, alongside other analysis tools and proper risk management. Always conduct your own research.
Credits
Based on the original concept "Insane MACD_DIXCHANGE" by DAVIDGLZ, with multiple enhancements and added functionalities during development.
This English version should effectively convey the indicator's features and usage on TradingView.
