Silver Macro Projection ModelSILVER MACRO PROJECTION MODEL
Multi-Factor Fair Value Estimation for Silver
OVERVIEW
The Silver Macro Projection Model estimates silver's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from gold, M2 money supply, the US Dollar Index, and major equity indices, this indicator projects where silver should theoretically be trading, helping traders identify potential overvaluation and undervaluation conditions.
HOW IT WORKS
This indicator employs three complementary projection methodologies:
Correlation-Weighted Z-Score Composite (50% weight) - Calculates rolling correlations between silver and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to silver's price scale.
Gold/Silver Ratio Mean Reversion (35% weight) - The gold/silver ratio historically exhibits mean-reverting behavior. This component projects silver's implied price based on current gold prices and the historical average ratio.
M2 Money Supply Relationship (15% weight) - Silver tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between silver and the monetary base.
INPUT FACTORS
Gold - Strong Positive - Precious metals move together; silver amplifies gold
M2 Supply - Positive - Inflation hedge; expands with monetary base
DXY - Negative - Dollar strength pressures commodity prices
S&P 500 - Variable - Risk sentiment indicator
Dow Jones - Variable - Industrial/economic health proxy
Nasdaq 100 - Variable - Growth/risk appetite indicator
Russell 2000 - Variable - Small-cap risk sentiment
VISUAL ELEMENTS
Silver Line (Gray) - Actual silver price
Yellow Line - Model's projected fair value
Green Fill - Silver trading BELOW projection (potentially undervalued)
Red Fill - Silver trading ABOVE projection (potentially overvalued)
INFORMATION TABLE
The indicator displays a real-time panel showing:
Current correlation coefficients for each factor
Dynamic weight allocation based on correlation strength
Z-scores for each input factor
Actual vs. projected silver price
Percentage divergence from fair value
Signal classification (Strong Buy to Strong Sell)
SETTINGS
Lookback Settings
Correlation Period (default: 60) - Bars used for rolling correlations
Regression Period (default: 120) - Bars for z-score normalization
Smoothing Period (default: 10) - EMA smoothing on projection
Weight Settings
Use Auto Correlation Weights - Weights adjust dynamically based on correlation strength
Manual Weights - Override with custom factor weights
ALERTS
Silver Extremely Undervalued (Z < -2)
Silver Extremely Overvalued (Z > +2)
Price crossed above projection
Price crossed below projection
BEST PRACTICES
Use on daily timeframe for most reliable signals
Combine with the companion Divergence Oscillator for timing
Extreme divergences (>2 sigma) historically precede mean reversion
Consider macro environment as correlations shift during different regimes
Longer regression periods (150-250) for investing; shorter (60-90) for trading
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.
M-oscillator
Percentile-Based BB% Trend - MattesOverview
The Percentile-Based BB% Trend is a robust momentum oscillator that reimagines the classic Bollinger %B indicator using percentile-based bands and median absolute deviation (MAD). Instead of relying on a simple moving average and standard deviation (which can be heavily influenced by outliers), this version builds dynamic bands from the 25th and 75th percentiles of price, creating a noise-resistant framework for measuring where the current price sits relative to its recent distribution.
How It’s Calculated
Percentile Smoothing : 25th percentile (lower boundary) and 75th percentile (upper boundary) of the selected source.
Basis Line : Midpoint between the 25th and 75th percentiles as a robust central measure.
Robust Volatility : Median Absolute Deviation (MAD) multiplied by a user-defined factor to set band width.
PBB% Value : (Price - Lower Band) / (Band Width), then shifted so the midline is at 0.
Trend Line : Light EMA smoothing applied to the raw value and displayed as colored columns.
How It Differs From Traditional %B
Uses 25th/75th percentiles + MAD instead of SMA + standard deviation → far less sensitive to outliers.
More adaptive to real-world skewed price distributions.
Stronger noise filtering while staying responsive to genuine momentum.
Why It’s Useful
Reduced false signals in choppy or spiky markets
Clear view of momentum strength and price extension
Persistent readings above/below 0 indicate sustained bullish/bearish control
Excellent as a trend-strength filter across all asset classes and timeframes
Application Examples
Trend Confirmation – Midline (0) crossovers confirm direction when paired with trend-following tools.
Overextension Warnings – Extreme readings signal potential exhaustion.
Momentum Filtering – Avoid entries when oscillator shows weak or overstretched conditions.
Divergence Hunting – Spot price making new highs/lows while oscillator fails to confirm.
Great inventions require greate care!
Not a Standalone Strategy: This indicator is designed as a complementary tool and should always be combined with other forms of analysis (price action, volume, higher-timeframe trend, or additional indicators).Potential Lags in Explosive Moves: The robust calculations and smoothing can slightly delay signals during very strong trends.Parameter Sensitivity: Optimal length and multiplier vary by market and timeframe — backtesting is essential.No indicator guarantees profits; past performance is not indicative of future results.
This indicator builds directly on the foundation of the Percentile-Based Bollinger Bands - Mattes, extending its robust methodology into oscillator form for deeper momentum analysis.Shoutout to all my Masterclass Brothers and L4 Gs!
VolMo Algorithm [Pro]VolMo Algorithm - Volume Momentum Oscillator
📊 Overview
VolMo Algorithm is a professional-grade composite momentum oscillator that synthesizes three critical market dimensions into a single, unified signal designed for institutional-level analysis.
This indicator was engineered to cut through market noise by fusing:
Volatility Band Analysis - Mean reversion detection through dynamic price envelopes
Dual EMA Momentum - Trend identification via fast/slow crossover mechanics
Swing Structure Recognition - Context awareness through pivot-based structure
⚙️ How It Works
The Composite Signal Formula
text
VolMo = (Momentum Score × MD Weight) + (Band Position Score × DTB Weight)
Component Description
Momentum Score Normalized momentum (Fast EMA - Slow EMA) expressed in standard deviations
Band Position Score Price location within volatility bands indicating stretch/compression
Signal Interpretation
Value Range Market State
> 0 Bullish momentum bias
< 0 Bearish momentum bias
> +2.0 Overbought (mean reversion likely)
< -2.0 Oversold (mean reversion likely)
🎯 Key Features
✅ Adaptive Histogram - Color-coded by momentum direction AND acceleration
Bright colors = Momentum accelerating
Dim colors = Momentum decelerating
✅ Signal Line Crossovers - Early warning for trend changes
✅ Overbought/Oversold Zones - Statistical extremes for mean reversion plays
✅ Triple Confirmation System - Signals when momentum, price, AND bands align
✅ Real-Time Dashboard - At-a-glance status including:
Current trend state with directional icons
Signal strength meter (0-100%)
Band position percentage
Momentum acceleration status
Active confirmation status
✅ 5 Color Themes - Neon Pro, Classic, Ocean, Sunset, Monochrome + Custom
✅ Comprehensive Alerts - Trend changes, crossovers, OB/OS entries, confirmations
HaP RSIComprehensive Guide to HaP RSI Indicator
Introduction
The HaP RSI indicator is a custom technical analysis tool designed to replicate the logic and structure of the HaP MACD indicator but applied to the Relative Strength Index (RSI). This indicator combines traditional RSI concepts with advanced smoothing techniques, dynamic signal generation, and visual cues to help traders identify potential entry and exit points, trend strength, and momentum shifts.
This document provides an exhaustive explanation of the indicator's logic, its components, and practical strategies for trading with it.
Logic and Structure of HaP RSI
The HaP RSI indicator is built on the foundation of the RSI oscillator, which measures the speed and change of price movements to identify overbought and oversold conditions. The indicator enhances RSI by incorporating the following elements:
RSI Calculation: Uses a customizable length (default 10) and allows selection of smoothing type (EMA or SMA) for flexibility.
Signal Line: A moving average of the RSI (default length 9) that acts as a reference for crossovers and trend confirmation.
DEMA Logic: Double Exponential Moving Average applied to RSI and its signal line to generate dynamic dot signals for entries and exits.
Visual Elements: Midline at 50, Overbought/Oversold levels at 70 and 30, color-coded dots (Blue, Green, Orange, Red) for intuitive interpretation.
Conditions and Signal Generation
The indicator uses a sophisticated set of conditions to determine market states and generate actionable signals:
Buy Condition: Triggered when the DEMA of RSI is above the DEMA of its signal line AND the DEMA signal line is rising. This indicates strengthening bullish momentum.
First Signal Dot: Appears as a Blue dot when the buy condition becomes true for the first time after being false. This marks the start of a potential bullish phase.
Ongoing Signal Dot: Appears as Green if RSI is rising or Orange if RSI is falling while the buy condition remains true. This provides real-time feedback on momentum strength.
Exit Dot: Appears as Red when the buy condition turns false after being true, signaling a potential end to the bullish phase.
Crossovers: RSI crossing above its signal line (bullish) or below (bearish) are calculated but hidden by default, offering additional confirmation if enabled.
Trading Strategies Using HaP RSI
The HaP RSI indicator can be used in multiple ways to enhance trading decisions. Below are detailed strategies and best practices:
1. Entry Strategies
Enter long positions when a Blue dot appears, confirming the start of bullish momentum. Ideally, combine this with RSI above the midline (50) and price action breaking resistance.
Add to positions or scale in when Green dots appear, indicating continued bullish strength.
2. Exit Strategies
Exit or tighten stops when a Red dot appears, signaling weakening momentum.
Consider partial exits on Orange dots if momentum slows but the trend remains intact.
3. Trend Confirmation
Use the midline (50) as a regime filter: RSI above 50 generally favors long trades, while below 50 favors shorts.
Overbought/Oversold levels (70/30) can help identify exhaustion points for reversals or caution zones.
4. Risk Management
Always combine HaP RSI signals with stop-loss placement based on recent swing lows/highs.
Avoid chasing signals in low-volatility environments; confirm with volume or higher timeframe trend.
Advanced Usage and Best Practices
Combine HaP RSI with other indicators like moving averages or price action patterns for confluence.
Use alerts for Blue and Red dots to automate monitoring and reduce missed opportunities.
Backtest the indicator on multiple timeframes (H1 recommended) to optimize settings for your trading style.
Summary
HaP RSI is a powerful tool that blends RSI's simplicity with advanced signal logic, making it suitable for trend-following, momentum trading, and swing strategies. Its visual clarity and dynamic alerts allow traders to act decisively while managing risk effectively.
RSI Trendline Breakout BB Exit -by RiazMalikUse this strategy based on RSI and bolinger bands
When RSI trend line breaks take position when RSI touches bolinger bands exit
Zero Lag Moving Average Convergence Divergence (ZLMACD) [EVAI]Zero Lag Moving Average Convergence Divergence (ZLMACD)
ZLMACD is a MACD-style momentum oscillator that keeps the standard MACD structure while adding a practical “zero-lag” option through ZLEMA. It is intended for traders who like the familiar MACD workflow but want an oscillator that can respond earlier during transitions without turning into an overly noisy trigger.
The indicator plots the MACD line, the signal line, and the histogram around a zero baseline. If you already understand MACD, you already understand how to read this. The difference is that you can choose whether the oscillator and signal are driven by EMA, SMA, or ZLEMA, which changes the responsiveness and smoothness of the indicator.
Default behavior
This script defaults to the preset mode “ZLEMA osc + EMA signal.” In this configuration, the fast and slow oscillator averages are computed using ZLEMA, while the signal line remains an EMA of the MACD line. The reason for this mix is simple: ZLEMA tends to reduce lag in the oscillator, while EMA on the signal line helps keep crossovers readable and avoids excessive micro-signals.
In practice, this default preset often behaves like a “faster MACD” that still feels like MACD. It can highlight momentum turns earlier than a traditional EMA MACD while keeping the signal line stable enough to use for timing and confirmation.
Custom mode and MA selection
If you switch Mode to “Custom,” the indicator will use your selected moving average types for both the oscillator and the signal line. In Custom mode, the oscillator type applies to both fast and slow averages, and the signal type applies to the smoothing of the MACD line.
If you are in the default preset mode, the custom MA dropdowns will not change the calculations. This is intentional: the preset locks the MA types so the default behavior remains consistent and reproducible across charts and users.
Reading the indicator
The histogram reflects the distance between the MACD line and the signal line. When the histogram is above zero, the MACD line is above the signal line and momentum is biased upward; when it is below zero, the MACD line is below the signal line and momentum is biased downward. Changes in histogram height help visualize strengthening versus weakening momentum, while the zero baseline provides regime context by indicating whether the fast average is above or below the slow average.
Crossovers between MACD and signal behave exactly as they do in standard MACD, but the timing and “feel” will vary depending on the MA choices. ZLEMA on the oscillator typically makes turns appear earlier; SMA typically smooths more but can be slower; EMA tends to be the balanced baseline.
Alerts
Two alert conditions are included to detect histogram polarity shifts. One triggers when the histogram switches from non-negative to negative, and the other triggers when it switches from non-positive to positive. These are useful if you want simple notifications for momentum regime flips without staring at the chart continuously.
Notes
This indicator is provided for informational and educational purposes only and is not financial advice. Always test settings per instrument and timeframe and use risk management.
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF)
A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel.
Mean-Reversion mode example
What this indicator does
This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price.
Instead of plotting RSI in a sub-window, it:
Builds 1 to 3 symmetric percent bands above and below price.
Computes RSI strength on up to 3 different timeframes (MTF).
Smooths RSI with your selected moving average type.
Maps RSI values into discrete transparency “buckets”.
Fills between the bands with a gradient whose opacity reflects strength or exhaustion.
Displays a compact RSI table for all enabled timeframes.
Provides alert conditions for extremes and midline shifts on each timeframe.
The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent.
Core idea: “Strength as an overlay”
RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow:
You check price action.
You look down at RSI.
You mentally translate RSI into risk or trend bias.
This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language:
More visible fill = stronger strength or more extreme condition (depending on mode).
Less visible fill = weak strength or neutral state.
Two operating modes
1) Trend mode
Trend mode emphasizes strength aligned with direction:
When RSI is strong on the upside, upper bands become more visible.
When RSI is strong on the downside, lower bands become more visible.
Neutral RSI fades, so the chart de-clutters during chop.
Use Trend mode when:
You want a clean trend-following overlay.
You want to quickly see which timeframe(s) are powering the move.
You want to filter entries to moments when strength confirms direction.
2) Mean-Reversion mode
Mean-Reversion mode flips the emphasis to highlight exhaustion against the move :
Upper extremes become a “potential exhaustion” cue.
Lower extremes become a “potential exhaustion” cue.
The overlay is tuned to make stretched conditions obvious.
This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align.
How the bands work (Percent Bands)
The indicator constructs up to three symmetric envelopes around price:
Band 1: percent1 scaled by scale
Band 2: percent2 scaled by scale (optional)
Band 3: percent3 scaled by scale (optional)
The percent bands are simple deviations from the selected price source:
Upper = price * (1 + (percent * scaling)/100)
Lower = price * (1 - (percent * scaling)/100)
Why this matters:
It anchors “strength visualization” to meaningful price distance.
It makes the overlay comparable across assets because it’s percent-based.
It gives you a consistent spatial frame for reading momentum versus extension.
Multi-timeframe engine (MTF)
The script runs the same strength calculation on up to three timeframes:
Timeframe 1 uses the chart timeframe by default (empty string input).
Timeframe 2 is optional and defaults to Daily.
Timeframe 3 is optional and defaults to Weekly.
Each timeframe has:
Its own RSI period (len, len2, len3).
Its own smoothing length (slen, slen2, slen3).
The same smoothing type selection (EMA, HMA, etc).
This creates a layered view:
TF1 often reflects tactical pressure (entries/exits).
TF2 reflects structural pressure (swing context).
TF3 reflects macro bias (regime context).
When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point.
Smoothing options (why so many)
Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels:
EMA/RMA smooth without lagging as hard as SMA.
HMA responds faster but can be twitchy.
LINREG can feel more “structural”.
ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics.
This isn’t cosmetic. Your smoothing choice affects:
How early the overlay “lights up” in Trend mode.
How long extremes remain highlighted in Mean-Reversion mode.
How often fills flicker in chop.
Strength mapping (the transparency buckets)
Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering.
The logic assigns two transparency values per timeframe:
Upper-side transparency responds to lower RSI zones (weak upside strength).
Lower-side transparency responds to higher RSI zones (strong upside strength).
Then the script uses those transparencies differently depending on mode:
Trend mode shows “strength aligned with direction”.
Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch.
You can think of it as:
Trend mode highlights continuation strength.
Mean-Reversion mode highlights potential exhaustion.
Fill stacking (how the overlay is built)
The overlay uses layered fills:
Fill from price to Band 1
Fill from Band 1 to Band 2 (if enabled)
Fill from Band 2 to Band 3 (if enabled)
Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode.
Important behavior:
Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments.
If you want a clean look, run only Band 1.
If you want a “regime heat” look, run Bands 1–3 with higher scaling.
Table (MTF RSI dashboard)
A compact table prints RSI values for each configured timeframe:
Row labels show TF.
Values show the smoothed RSI output that drives the overlay.
Use it for quick confirmation:
If overlay looks strong but table RSI is neutral, your band settings might be too tight.
If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation.
Alerts (built-in)
Alerts are provided for each timeframe separately, covering:
Entering upper extreme (cross above 70)
Exiting upper extreme (cross below 70)
Entering lower extreme (cross below 30)
Exiting lower extreme (cross above 30)
Bullish midline cross (cross above 50)
Bearish midline cross (cross below 50)
This enables workflows like:
Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation.
Notify when TF3 crosses midline, then only take TF1 trend setups in that direction.
How to use it (practical reads)
Trend mode reads
Strong continuation: TF1 and TF2 fills become clearly visible on the same side.
Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong.
Chop warning: fills alternate or remain mostly invisible, indicating neutral strength.
Mean-Reversion mode reads
Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions.
Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal.
Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones.
Recommended setup presets
Preset A: Clean trend overlay
Mode: Trend
Bands: only Band 1
Scale: 1–2
Smoothing: EMA, moderate slen (6–10)
TF2: Daily on intraday charts
Preset B: Regime and exhaustion mapper
Mode: Mean-Reversion
Bands: Bands 1–3
Scale: 2–4
Smoothing: T3 or RMA, slightly higher slen
TF2: Daily, TF3: Weekly
Limitations
This is a strength visualization tool, not a full entry/exit system.
Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling.
MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Nexus Flow ProNexus Flow Pro is a trading tool that combines "deep trend insight" with "precise trading signals." It navigates trending waves and accurately displays reversal signals; it is one of the most logically sound and visually appealing oscillator indicators.
This indicator employs a "dual-engine" logic, isolating and layering market trends:
Primary Engine: Based on an enhanced T3 smoothing algorithm, it captures the market's medium- to long-term trends. Visually, it serves as the background of the main chart, providing clear trend guidance.
Secondary Engine: Responsible for fine-grained momentum filtering and crossover point identification. It displays intensely contested price points in a more compact and lightweight manner, combining this with the main trend guidance to identify correct trading opportunities.
Each dot represents a different voice in the market, used to observe market dynamics and identify genuine trading opportunities.
Use 【Advanced Dynamic RSI Pro】 to determine market depth and avoid making the wrong entry point.
Advanced Dynamic RSI Pro40-60
Oscillation Phase: Market is in consolidation. Expect sideways movement with no clear trend.
>60
Bullish Signal: A breakout above 60 confirms upward momentum and trend strength.
<40
Bearish Signal: Dropping below 40 confirms a downward trend and selling pressure.
The depth of the MA (reaching levels above 70 or below 30) clearly visualizes extreme Overbought or Oversold market conditions.
Institutional Ghost Protocol - FINAL EXECUTION"This is a private institutional-grade indicator designed for high-precision entries. It combines EMA 8/80 crossovers with directional RSI (65/35), ATR volatility confirmation, and Open Interest flow. Optimized for Binance Perpetual Markets with specific Webhook integration for automated execution."
RSI > 70 Buy / Exit on Cross Below 70This strategy buys when the RSI (Relative Strength Index) closes above 70, indicating strong market momentum. It closes the position as soon as the RSI crosses down and falls below 70, to secure profits before a possible reversal.
In summary:
Entry: RSI > 70
Exit: RSI crosses down below 70
It’s a momentum-based strategy that aims to take advantage of strong trends but exits as soon as the momentum weakens.
MTG v2MTG v2 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
200 EMA - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
CSA Infinity BridgeCSA Infinity Bridge - Major Update: Full Transparency + Stricter Consensus
Update Notes (December 29, 2025):
- Big improvements based on real-user feedback!
- This version eliminates the confusion that sometimes occurred when the dashboard showed near-unanimous agreement (like 13/14) but one indicator was silently disagreeing.
Key Changes:
- All 14 indicators are now fully visible in the dashboard. Added a dedicated "TTM" column for the standalone TTM Wave (previously hidden). No more guessing which indicator is the holdout—you’ll see every single Bull/Bear vote clearly.
- Stricter consensus thresholds for higher-conviction signals:
- Strong Bullish/Bearish now requires 12+ out of 14 (previously 11+)
- Trending ↑/↓ requires 9+ out of 14 (previously 8+)
- This reduces whipsaws and makes LONG/SHORT signals more reliable, especially for novice traders.
Keeps the popular OBV replacement (volume confirmation instead of basic candle color).
- Perfect for anyone who wants a clean, trustworthy consensus dashboard without hidden surprises. Ideal for futures, stocks, crypto—any market with volume.
- Test it, compare it to the previous version, and let me know what you think!
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting.
No repainting, no intrabar tricks, no fake equity curves.
It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live.
If you publish scripts, this is the minimum structure worth sharing.
Why this script exists
TradingView’s public scripts are flooded with:
repainting indicators
no stop-loss logic
curve-fit entries that collapse live
strategies that look good only in hindsight
This script is intentionally boring but honest.
No repainting.
No intrabar tricks.
No fake equity curves
The goal is quality control, not hype.
What this strategy enforces
✔ Confirmed bars only
✔ Single source of truth for indicators
✔ Fixed risk structure
✔ No signal repainting
✔ Clean exits with unique IDs
✔ Works on any liquid market
Trading Logic (simple & auditable)
Trend filter
EMA 50 vs EMA 200
Entry
Pullback to EMA 50
RSI confirms momentum (not oversold/overbought)
Risk
ATR-based stop
Fixed R:R
One position at a time
This is the minimum bar for a strategy to be considered publish-worthy.
Why this helps TradingView quality
Most low-value scripts fail because they:
hide repainting logic
skip exits entirely
use inconsistent calculations
rely on hindsight candles
This strategy forces discipline:
every signal is confirmed
every trade has defined risk
behavior is repeatable across symbols & timeframes
If more scripts followed this baseline, TradingView’s public library would be far more usable.
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions.
---
## Title
**Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands**
## Overview
This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading.
It combines three ideas into one coherent workflow:
1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA)
2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically
3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets
This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**.
---
## What makes it original / useful
### 1) Dynamic extremes based on the oscillator’s own distribution
Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**:
* **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress).
* A rolling buffer stores recent transformed values.
* **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes.
Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds.
### 2) A structured signal process to reduce overtrading
Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**:
**Long logic**
1. %K drops below the **adaptive low band** (touch/arm)
2. %K re-enters above the low band (re-entry)
3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band
**Short logic** is symmetrical.
Then it adds:
* **Cooldown**: prevents clustered entries during noisy periods
* **Max wait**: invalidates old setups if confirmation takes too long
* **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded
This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine.
---
## How it works (plain-language)
### A) Stochastic with selectable smoothing (MAK/MAD)
* `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA.
* `%D` is computed by smoothing `%K` with a chosen MA.
**MA options**
* **EMA**: baseline responsive smoothing
* **ZEMA**: reduced lag (faster reactions)
* **SMA**: heavier smoothing (less noise)
* **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise)
### B) K-based Logit Percentile Bands
The script builds bands from **%K**, not from price:
* Convert K into logit space → store in rolling buffer
* Compute low/high percentiles in logit space
* Convert back to 0–100 space with logistic function
* Produce: **kLo / kHi / kMid**
This keeps the bands stable and meaningful even when volatility changes.
### C) Signal state-machine
* **Touch**: K enters extreme zone
* **Re-entry**: K exits the extreme zone
* **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid)
The idea is to catch reversals **early**, but not on the very first noisy bounce.
---
## How to use
### 1) Baseline setup (recommended starting point)
These defaults are already aligned with the script’s intent:
* Stoch: **21 / 3 / 7**
* Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0**
* Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON**
This typically produces fewer, more selective signals than traditional 14/3/3 style settings.
### 2) Interpreting the plots
* **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines.
* **kLo / kHi / kMid** are the adaptive bands.
* Labels:
* **“L”** appears near the low band when a long setup completes
* **“S”** appears near the high band when a short setup completes
### 3) Practical trading workflow
* Prefer using signals as **timing cues**, not as a complete strategy by themselves.
* Many traders combine this with:
* a trend filter (e.g., EMA200 direction)
* a volatility filter (avoid low-vol chop)
* or higher timeframe confirmation
The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management.
---
## Tuning guide (fast)
### Want signals closer to extremes (more selective)?
* Decrease / increase percentiles:
* lowPct **0.12** and highPct **0.88**
* Increase logitGain slightly:
* logitGain **1.1–1.2**
* Increase cooldown:
* cooldown **10–14**
### Want earlier signals (faster confirmations)?
* Use faster MA for %D (or reduce periodD):
* maD = **ZEMA** (or EMA)
* Reduce cooldown a bit:
* cooldown **5–8**
### Getting too many signals in ranges?
* Increase periodK to reduce chop:
* periodK **34**
* Increase cooldown
* Keep D confirm enabled
---
## Strengths
* **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80)
* **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses
* **Configurable smoothing**: lets you tune response vs stability via MA type
* **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop
## Limitations
* **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included
* **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods
* **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen)
---
## Notes on repainting / confirmations
* The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle.
* Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings).
---
## Suggested disclaimer (TradingView-friendly)
This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
CSA Infinity BridgeCSA Infinity Bridge - 14-Indicator Consensus Dashboard
Description
- CSA Infinity Bridge is a proprietary multi-indicator consensus system that analyzes 14 technical indicators simultaneously and displays their collective agreement in a real-time dashboard. The indicator provides clear LONG, SHORT, or NEUTRAL signals based on mathematical consensus, eliminating subjective interpretation.
Core Innovation
- Unlike single indicators requiring interpretation, this tool synthesizes signals from Heikin Ashi, SuperTrend, Momentum, CCI, MFI, DMI, CMO, RSI+TTM, Zero-Lag MACD, ROC, SMA50, and specialized combinations into a unified market state classification.
Key Features
- 14 independent technical indicators analyzed per bar
- Real-time consensus dashboard with color-coded Bull/Bear readings
- 5-tier market state classification (Bullish, Trending ↑, Neutral, Chop, Trending ↓, Bearish)
- TOTAL column displays agreement count (out of 14) showing conviction level
- STATE column provides clear LONG/SHORT/NEUTRAL recommendations
- Built-in alerts for strong consensus (11+) and state changes
- Customizable dashboard size (Tiny to Huge)
- Optional dashboard placement (Top Right, Bottom Right, Bottom Center, Top Center)
What Makes It Unique
- The consensus engine quantifies market conviction with a simple number: when 11+ indicators agree, high-probability setups appear. When agreement drops below 8, the system warns to reduce exposure or stay flat. This creates a rules-based framework eliminating emotional trading decisions. The flexible dashboard positioning allows seamless integration into any chart layout without obstructing price action.
Ideal For
- Day traders and scalpers on futures markets (MNQ, MES, MYM, MGC, MCL) who need objective signals based on multi-indicator confirmation. Works on any instrument and timeframe, optimized for 1-5 minute scalping.
How to Use
Setup:
- Add indicator to chart and customize dashboard size and position. Enable alerts for "Strong Bullish", "Strong Bearish", "LONG Signal", and "SHORT Signal".
Dashboard Columns:
- Individual cells show Bull/Bear for each of 14 indicators
- TREND shows market state (Bullish/Trending/Neutral/Chop)
- STATE shows trade recommendation (LONG/SHORT/NEUTRAL)
- TOTAL shows agreement count with color coding (green 10+, orange 7-9, gray <7)
Signal Interpretation:
- 11-14 Agreement: High-probability setups, use full position size
- 8-10 Agreement: Medium probability, use 50-75% size
- 6-7 Agreement: Low probability, scalp only or avoid
- 5 Agreement: Chop zone, stay flat
Entry Strategy:
- Enter LONG when TOTAL reaches 11+ with STATE showing LONG. Enter SHORT when TOTAL reaches 11+ with STATE showing SHORT. Use stops 10-15 ticks beyond recent swing points.
Exit Strategy:
- Exit when TOTAL drops to 7 or below, or when STATE changes to opposite direction. Take partial profits at 2R, trail remainder.
Risk Management:
- Position sizing: 100% at 12-14 agreement, 75% at 10-11, 50% at 8-9, avoid below 8. Never risk more than 1% per trade.
Best Timeframes:
- 1-min (scalping), 3-min (quick day trades), 5-min (standard day trading), 15-min (swing entries).
Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION
Overview
Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis.
The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes.
What Makes It Unique:
- Professional label system with full customization (colors, sizes, tick-based offsets)
- Toggle labels and arrow shapes independently
- High-contrast default colors (teal/maroon) optimized for maximum visibility
- Clean, trader-friendly interface with intuitive settings
- Works flawlessly on all timeframes and instruments
How to Use
PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY
The Period(s) setting controls how many signals you see:
• Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping
• Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks)
• Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading
- Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals.
SIGNALS
🟢 "BUY Label" (Down Fractal)
- Marks swing lows and potential support zones
- Look for price bouncing up after the fractal forms
- Use for identifying pullback entry points in uptrends
- Place stops below recent BUY fractals
🔴 "SELL Label" (Up Fractal)
- Marks swing highs and potential resistance zones
- Look for price rejecting down after the fractal forms
- Use for identifying profit targets or short entries
- Place stops above recent SELL fractals
REPAINTING BEHAVIOR
⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading.
TRADING APPLICATIONS
1. Support/Resistance: Mark key price levels for entries and exits
2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend
3. Stop Placement: Use recent fractals as logical stop-loss levels
4. Breakout Trading: Monitor price breaking above/below fractal levels
5. Trend Following: Enter on pullbacks to BUY fractals in uptrends
6. Swing Trading: Identify major swing points for position entries
CUSTOMIZATION OPTIONS
• Show BUY/SELL Labels**: Toggle professional text labels on/off
• Show Shapes: Toggle arrow shapes independently
• Offset (ticks): Adjust label distance from price bars for perfect positioning
• Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow)
• Label Size: Choose from tiny, small, normal, large, or huge
The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme.
Key Settings
Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals
Show BUY/SELL Labels (default: ON): Display professional text labels
Show Shapes (default: ON): Display arrow shapes
BUY offset (ticks) (default: 8): Distance BUY labels appear below lows
SELL offset (ticks) (default: 8): Distance SELL labels appear above highs
Colors: Full customization - defaults optimized for visibility
Label size (default: normal): Visual prominence control
Key Features
✅ Professional pivot fractal detection
✅ Fully customizable Buy/Sell labels
✅ Independent toggle for labels and shapes
✅ Tick-based offset positioning
✅ High-contrast color scheme
✅ Works on all timeframes and instruments
✅ Clean, intuitive interface
✅ Adjustable sensitivity
✅ Perfect for support/resistance identification
✅ Ideal for market structure analysis
IronRod Trigger SystemIRONROD TRIGGER SYSTEM
DESCRIPTION
IronRod Trigger System is a momentum oscillator based on the Stochastic Momentum Index (SMI) that identifies trend changes, momentum shifts, and range-bound "chop" zones. Features color-changing SMI lines, histogram columns showing momentum strength, and a visual chop zone that highlights when to trade versus when to stay on the sidelines.
The system combines momentum direction (green/red lines), momentum strength (histogram columns), and market context (chop zone cloud) into one clean visual package. The dynamic zero line changes color to signal trade conditions (cyan) versus hold conditions (orange).
What Makes It Unique:
Dual color-changing lines (SMI and AvgSMI) show momentum direction
Histogram columns display momentum strength
Chop zone cloud identifies low-momentum periods
Dynamic zero line (cyan = trade, orange = hold)
Three-color histogram (green = strong up, red = strong down, gray = weak)
Adjustable chop zone threshold
How to Use
THE DISPLAY
Lines:
Green = bullish momentum (rising)
Red = bearish momentum (falling)
Gray = neutral/sideways
Histogram Columns:
Green = strong bullish momentum
Red = strong bearish momentum
Gray = weak/choppy momentum
Zero Line:
Cyan (blue) = trade zone - momentum is directional
Orange = chop zone - momentum is weak, avoid trading
Chop Zone Cloud:
Gray shaded area = range where momentum is indecisive (±30 default)
TRADING STRATEGIES
1. Chop Zone Trading
Trade: Only when SMI is outside gray cloud AND zero line is cyan
Avoid: When SMI is inside cloud OR zero line is orange
Long: Green line appears above chop zone
Short: Red line appears below chop zone
This is the key feature - dramatically reduces whipsaws
2. Zero Line Crosses
Buy: SMI crosses above zero with cyan zero line
Sell: SMI crosses below zero with cyan zero line
Strongest signals when AvgSMI follows SMI across zero
Ignore crosses when zero line is orange (choppy)
3. Histogram Strength
Strong trend: Multiple consecutive green/red columns
Momentum building: Columns getting taller
Momentum fading: Columns turning gray = exit warning
Reversal signal: Gray columns after strong trend
4. Divergence Trading
Bearish divergence: Price higher high, SMI lower high → take red line signal
Bullish divergence: Price lower low, SMI higher low → take green line signal
Most powerful outside chop zone
ENTRIES & EXITS
Entries:
SMI line turns green outside chop zone (long)
SMI line turns red outside chop zone (short)
SMI crosses zero with cyan zero line
Exits:
SMI line changes color
SMI enters chop zone (orange zero line)
Histogram turns gray
Stops:
Below recent swing low (longs)
Above recent swing high (shorts)
ADJUSTING SETTINGS
Chop Zone (±) (default: 30):
Lower (15-25) = More trades, more whipsaws
Higher (35-50) = Fewer trades, higher quality
Adjust based on instrument volatility
Percent K Length (default: 5):
Lower (3-4) = More sensitive, faster signals - good for scalping
Higher (7-10) = Less sensitive, smoother - good for swing trading
Percent D Length (default: 4): Controls smoothing
SMI Bar Buffer (default: 4): Histogram color sensitivity
TIMEFRAME GUIDE
Scalping (1-5m): K=3, watch histogram color flips
Day trading (15-60m): Default settings, focus on zero crosses outside chop
Swing trading (4H-Daily): K=7-10, trade only strong trends outside chop
Key Settings
Percent K Length (default: 5): Lookback period - controls sensitivity
Percent D Length (default: 4): Smoothing period
Chop Zone (±) (default: 30): Range-bound zone threshold
SMI Bar Buffer (default: 4): Histogram color change sensitivity
Histogram Width (default: 1): Column thickness
Key Features
✅ Dual color-changing momentum lines
✅ Histogram columns show strength
✅ Chop zone cloud filters bad trades
✅ Dynamic zero line color
✅ Three-color histogram
✅ Adjustable chop threshold
✅ All timeframes
✅ Reduces whipsaws
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION
Overview
SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips.
What Makes It Unique:
Real-time color-changing momentum line
Cloud shading split at zero line
Triangle triggers at exact momentum flip points
Overbought/oversold limit lines
Built-in alerts for all key signals
Fully customizable appearance
Works on all timeframes
How to Use
THE DISPLAY
Green line/cloud: Bullish momentum
Red line/cloud: Bearish momentum
Above zero: Bulls in control
Below zero: Bears in control
Upper limit (+40): Overbought
Lower limit (-40): Oversold
SIGNALS
🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero.
🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero.
TRADING STRATEGIES
1. Trend Following
In uptrends: Only take green triangles, ignore red
In downtrends: Only take red triangles, ignore green
Use higher timeframe for trend, lower for entries
Example: Daily uptrend → trade green triangles on 1H chart
2. Limit Reversals
Red triangle at upper limit (+40) = strong reversal signal, go short
Green triangle at lower limit (-40) = strong reversal signal, go long
Wait for triangle AND price confirmation
Most reliable on 4H/Daily timeframes
3. Zero Line Trading
SMI crosses above zero → bullish bias, take green triangles
SMI crosses below zero → bearish bias, take red triangles
Zero acts as momentum baseline
4. Divergence Setups
Price higher high + SMI lower high = bearish divergence → take next red triangle
Price lower low + SMI higher low = bullish divergence → take next green triangle
Most powerful at overbought/oversold limits
ENTRIES & EXITS
Enter: On triangle appearance
Stop: Beyond recent opposite-color triangle
Target: Limit levels or opposite triangle
Add: Additional same-color triangles in strong trends
TIMEFRAME GUIDE
Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles
Day trading (15-60m): Default settings (5/3), focus on limit reversals
Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings
ADJUSTING SENSITIVITY
SMI %K Length (default: 5):
Lower (3-4) = More signals, faster - good for scalping
Higher (7-10) = Fewer signals, stronger - good for swing trading
SMI %D Length (default: 3):
Lower (1-2) = More responsive
Higher (5-7) = Smoother
ALERTS
Built-in alerts for:
Triangle appears (momentum flips)
SMI crosses zero (trend change)
SMI crosses limits (overbought/oversold)
Enable in settings, configure in TradingView alert dialog.
CUSTOMIZATION
Toggle cloud/triangles on/off
Adjust triangle size and positioning
Customize all colors
Triangle label cap prevents clutter
Key Settings
SMI %K Length (default: 5): Controls sensitivity and signal frequency
SMI %D Length (default: 3): Controls smoothing
SMI Limit (default: 40): Overbought/oversold threshold
Show SMI Cloud (default: ON): Cloud shading
Show SMI Flip Triangles (default: ON): Trigger markers
Triangle Size/Offset: Appearance customization
Enable Alerts (default: ON): Alert notifications
Key Features
✅ Color-changing momentum line
✅ Cloud shading for momentum zones
✅ Triangle triggers at exact flips
✅ Overbought/oversold limits
✅ Built-in alert system
✅ Fully customizable
✅ All timeframes
✅ Adjustable sensitivity
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
DCA + VA (Value Averaging) | UA versionDCA + VA (Value Averaging) | UA version
DCA + VA is a practical portfolio simulator for TradingView that compares two long-term investing approaches on any symbol:
• DCA (Dollar-Cost Averaging) — invest a fixed amount on a fixed schedule.
• VA (Value Averaging) — invest (and optionally sell) to keep the invested part of the portfolio close to a target growth path.
The indicator is plotted in a separate lower pane and is designed for realistic capital efficiency analysis, including the effect of cash sitting idle (“cash drag”).
What you see on the chart
• Two thick yellow lines
— DCA line: portfolio value under classic DCA
— VA line: portfolio value under Value Averaging
• Trade dots
— Small green dots : buys
— Small red dots : sells (VA only, if enabled)
• UA table + right-side labels
— key portfolio metrics for both strategies
Core assumptions
• Trades are executed at bar close ( close )
• Dividends and broker commissions are ignored (for now)
• Optional tax logic is available for VA sells: tax is applied to realized profit using average cost basis
Line mode
• Капітал+Кеш (default): shows total portfolio value = holdings + cash (honest “cash drag”)
• Лише капітал : shows holdings value only (invested part)
DCA logic (classic)
Start from Start date .
On each scheduled period ( Week / Month / Half-year / Year ) the script:
• adds the deposit amount to cash
• buys the asset for that amount (if cash is available)
VA logic (Value Averaging)
VA maintains a target value for the invested holdings (asset value only, cash not included ).
On each VA step:
Regular deposit is added to VA cash
Target is updated by period growth g (derived from annual CAGR and selected frequency)
If holdings value is below target → buy using cash (optionally add extra if enabled)
If holdings value is above target and selling is enabled → sell down to target (cash increases; optional profit tax applies)
Target update formula:
Target = Target × (1 + g) + Regular deposit
Optional controls
• Sell excess ( vaSellExcess ): allow sells when above target
• Add extra on drawdowns ( vaAddExtra ): allow additional contributions when cash isn’t enough
• Max extra per period ( vaMaxExtra ): cap extra contributions ( 0 = unlimited )
• Tax on sells ( vaUseTax / vaTaxRate ): apply tax to realized profit (average cost basis)
Table metrics (UA)
For both DCA and VA:
• Накопичено — total contributed cash
• Інвестовано — current invested cost basis
• Кеш — cash balance
• Капітал — portfolio value (based on selected line mode)
• Прибуток % — ROI in percent
• CAGR стратегії — annualized return based on elapsed time
Best use (recommended settings)
• Best timeframe: 1W
Weekly candles make long-term simulations cleaner and more realistic: less noise, fewer “micro” fluctuations, and more stable periodic triggers for DCA/VA steps.
• Recommended workflow:
Set chart timeframe to 1W
Choose deposit frequency (usually Тиждень or Місяць )
Start with Капітал+Кеш to see true cash drag
Compare DCA vs VA using Прибуток % and CAGR (not only absolute $)
• How to interpret results:
— If VA has higher capital but lower ROI %, it usually means you contributed more (extra funding enabled).
— If VA sells rarely, your target path may be aggressive (high CAGR + large deposits), so holdings don’t exceed the target often.
Notes
• If VA shows higher capital but lower profit % , it usually means more total contributions (extra funding enabled).
• Sells can be rare if the target path grows aggressively (high CAGR + large deposits).
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요
* 블로거 'SOXL연구원님의 SCR을 지표화했습니다.
(지표설명)
1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다.
2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다.
3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다.
(시그널)
세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시
Overview
SCR is a combined signal system built from Stochastic, CCI, and RSI.
For convenience, I call this indicator SCR.
This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원).
Indicator Settings
Stochastic
Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3
Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20
All values can be changed in the settings.
CCI
Default length: 20
Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100
All values can be changed in the settings.
RSI
Default length: 14
Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30
All values can be changed in the settings.
Signals (Plotted on the Main Price Chart)
Signals are generated when the indicators trigger their conditions on the same bar (simultaneously).
Overbought Resolution Signals (S) — plotted above candles
S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar
S2: Exactly 2 indicators resolve overbought on the same bar
S3: All 3 indicators resolve overbought on the same bar
Oversold Entry Signals (B) — plotted below candles
B1: Exactly 1 of the three indicators enters oversold on the same bar
B2: Exactly 2 indicators enter oversold on the same bar
B3: All 3 indicators enter oversold on the same bar
Multi-Indicator DashboardMulti-timeframe trading dashboard overlay on your chart. Analyzes Trend, Momentum, Swing, Strength, Direction, Volatility, and delivers a final VIEW (Bullish/Bearish/Flat) across 5 key timeframes. Perfect for quick multi-TF alignment checks! W → D → 2H → 1H → 15M
Features
Color-Coded Cells: Green (Bullish), Red (Bearish), Gray (Neutral).
Historical Mode: Toggle "Enable Historical View" → Slider picks N bars back (chart TF-aware: e.g., 10 bars = 2.5H on 15M).
Yellow vertical line + date label marks the exact bar
Quick Setup
Add to chart → Customize inputs.
Historical: Enable + slide "Bars Back" for past data snapshots.
Views Update Live: Real-time on current/historical bars.
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
🔶 Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
🔶 Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
🔶 Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
🔶 Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
🔶 Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
🔶 Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
🔶 Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
🔶 Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
🔶 Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
🔶 Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
🔶 Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
🔶 Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
