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Extreme HMA ATR BandsThe Extreme HMA ATR Bands are an advanced trend following tool focused on high speed & high smoothness over multiple assets.
Benefits:
- High Speed
- Smooth trend catching with low amount of false signals
- Great performance on CRYPTO:SOLUSD , BINANCE:SUIUSD , CRYPTO:CROUSD
- Plotting allowing easier visualization of the performance
The Idea
The idea is to create bands that "weight" data into the extreme points. These extreme points are to be taken from HMA to provide a smoother result. Averaging the extreme points we get the "middle" to which we can simply apply the ATR to get high accuracy signals.
How it works:
It calculates HMA over a short period to get a smooth source.
Then calculates the Highest & Lowest point of the HMA and their Lowest & Highest points.
By finding the Lowest Lowest Highest HMA and Highest Highest Lowest HMA and averaging them, you get a middle ground between high responsivness & smoothness.
Enjoy Gs!
WaveRider [Scalping-Algo]# 📊 TrendPulse Pro - Indicator Guide
## 🎯 What is it?
A clean all-in-one trend tool. Combines 4 smoothed MAs, candlestick patterns & session highlights. No clutter, just signals.
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## 🔧 Features
### 📈 4 Smoothed Moving Averages
- **21 SMMA** (Cyan) → Fast trend, scalping
- **50 SMMA** (Green) → Swing entries
- **100 SMMA** (Gold) → Medium trend filter
- **200 SMMA** (Red) → Major trend direction
💡 *Price above all = strong bull. Below all = strong bear.*
---
### ⚡ 3 Line Strike Pattern
Rare but powerful reversal signal.
- 🟢 **Bull 3LS** → 3 red candles + 1 big green that closes above first candle
- 🔴 **Bear 3LS** → 3 green candles + 1 big red that closes below first candle
💡 *Best near support/resistance zones.*
---
### 💎 Engulfing Candles
Shows momentum shift.
- 🟢 **Bull Engulf** → Green candle swallows previous red
- 🔴 **Bear Engulf** → Red candle swallows previous green
💡 *Filter with trend direction for better win rate.*
---
### 🕐 Session Highlight
See your trading window clearly.
- Light shade = Pre-session (prep time)
- Darker shade = Active session (go time)
💡 *Default is CME hours. Adjust in settings.*
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## 📝 Quick Setup
1. Add to chart
2. Pick your timeframe (works on any)
3. Toggle what you need ON/OFF
4. Set your session times
5. Trade with confidence
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## 🎨 Color Guide
| Element | Default Color | Meaning |
|---------|---------------|---------|
| 21 MA | Cyan | Fast trend |
| 50 MA | Green | Swing trend |
| 100 MA | Gold | Filter |
| 200 MA | Red | Big picture |
| Fill Green | Light Green | Bullish bias |
| Fill Red | Light Red | Bearish bias |
---
## ⚠️ Tips
✅ Use MA stack for trend bias
✅ Wait for patterns AT key levels
✅ Combine with volume
✅ Respect the 200 MA
❌ Don't trade against all MAs
❌ Don't chase every signal
❌ Don't ignore session times
---
## 🚀 Best Practices
**For Scalping:**
- Focus on 21 & 50 MA
- Trade engulfing patterns
- Use 1-5 min charts
**For Swing:**
- Focus on 100 & 200 MA
- Trade 3 Line Strike
- Use 1H-4H charts
---
Made with ☕ by a trader, for traders.
*"Keep it simple. Let price do the talking."*
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question:
Are higher and lower timeframes pointing in the same direction — and how strong is that alignment?
Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation.
This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike.
How It Works
For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M):
A 4-period moving average is calculated (user-selectable MA type).
The indicator determines direction by comparing the current MA value to the prior bar:
Rising MA → Bullish
Falling MA → Bearish
Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired.
The combined result is converted into:
Bull %
Bear %
Letter Grade (A–F)
Plain-English interpretation
All results are displayed in a compact, customizable on-chart dashboard.
Dashboard Metrics Explained
Aligned TFs
Shows how many timeframes are bullish vs bearish.
Bull % / Bear %
Weighted directional confidence across all timeframes.
Grade (A–F)
A structured summary of alignment strength:
A → Strong bullish alignment
B → Constructive bullish bias
C → Transitional / mixed conditions
D → Weak structure
F → Bearish or poorly aligned
Grade Condition & Interpretation
Explicit thresholds and a clear contextual reading of current market structure.
How to Use This Indicator
This is not an entry signal by itself.
It is best used as a context and confirmation tool.
Common use cases include:
✅ Trend Filtering
Only take long trades when Bull % is elevated (e.g., Grade A or B).
✅ Multi-Timeframe Confirmation
Confirm that lower-timeframe setups agree with higher-timeframe structure.
✅ Bias Control
Reduce over-trading during mixed or transitional conditions (Grade C/D).
✅ Risk Management Context
Scale position size or aggressiveness based on alignment strength.
Ideal Trading Conditions
This indicator performs best in:
Trending or structurally developing markets
Swing trading and position trading
Higher-timeframe-aware intraday strategies
Markets where directional follow-through matters more than noise
During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure.
Customization & Controls
Select MA type (SMA, EMA, RMA, WMA)
Adjust timeframe importance via custom weights
Fully customizable table colors and position
Toggle dashboard visibility on/off
This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences.
Final Notes
The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework.
Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
Atilla EMA Cloud PRO (FINAL - FIXED)Atilla EMA Cloud PRO (FINAL – FIXED) is a professional trend-filtering indicator designed to eliminate noise and keep traders out of low-probability, sideways markets.
This indicator is built around a multi-EMA structure (EMA 9 / 21 / 35 / 55) combined with an ATR-based sensitivity filter and candle confirmation logic. Its primary goal is not to generate constant signals, but to clearly define when the market is worth trading — and when it is not.
Key Features:
Advanced EMA Cloud that defines clear NO-TRADE ZONES
ATR-based sideways market detection to suppress fake trends
Trend confirmation using momentum + candle structure
Adjustable sensitivity for different market conditions
Optimized for 15-minute charts, suitable for both crypto and forex
Designed to favor quality over quantity
How to use:
Trade only when price is outside the EMA Cloud
Ignore signals during gray / flat conditions
Focus on sustained color changes confirmed by EMA alignment
Best used with proper risk management and higher timeframe context
This indicator does not chase every move.
It waits for structure, momentum, and clarity.
Built for traders who value discipline, patience, and consistency over noise.
AlgoYields - AAlgoYields A — Everyday Overlay for Clean, Actionable Context
Please follow — more indicators & ideas coming soon!
Equipped with alerts and customizable styles, this overlay is designed for daily use: attractive look for fast reads, low noise, high signal. It blends a few trusted tools into a single, elegant view so you can track trend, momentum, and breakouts without overcrowding.
What’s inside
Trading Session Backdrop
Quarter-tinted background (distinct color per quarter) for quick macro orientation; subtle week-to-week transparency shifts; CME pre-market, regular session, and post-market shading; weekends left clear.
Includes multiple curated color palettes. Ask if you want a custom theme.
EMA Cloud
A staircase of short EMAs for trend strength + two macro EMAs (defaults: 80 & 200). Macro EMAs auto-tint: blue when price is above, orange when below.
All lengths are user-configurable.
RSI-Derived Bar Colors
Contextual bar coloring by RSI level/zone to make strength/weakness instantly visible.
Comes with multiple palettes optimized for light/dark charts.
Price Channel & Breakouts
Select band source: Close (tight), HLC3 (medium), or High/Low (widest). Breakout dots print above/below bars and are color-coded by trend context:
Green : break below lower band in an uptrend (buy-the-dip candidates).
Yellow : break above upper band in an uptrend (potential exhaustion / quick scalp).
Orange : break below lower band in a downtrend (continuation shorts).
Red : break above upper band in a downtrend (fade-the-pop entries).
Buffer values can be tuned to reduce noise or enhance reactivity
How to use it
––––––––––
Bullish Breakdowns ( green dots) — often attractive dip-buys within uptrends.
Confirm with macro-EMA slope: steeper = stronger follow-through; flatting slope = take quicker profits and watch for potential rollover.
Bullish Breakouts ( yellow dots) — be selective. If RSI confirms strength, these can be solid for quick scalps; otherwise, beware “touch-and-fade” at the upper band.
Apply the same logic in reverse for shorts:
Bearish Breakouts ( red ) and Bearish Breakdowns ( orange ) favor short entries/continuations.
Inputs worth tweaking
EMA lengths (short stack + macro 80/200 defaults).
RSI bar-color palette (pick for light/dark themes).
Channel source (Close / HLC3 / High-Low) and breakout buffer.
Session/quarter palette selection.
Alerts
Choose from built-in signals (channel breaks, EMA crosses, significant RSI levels).
Notes & best practices
Backtest breakouts per asset/timeframe to tune buffers and TP/SL targets.
Use level + slope together: RSI/EMA levels flag conditions; slope confirms impulse/continuation.
Let the EMA cloud and macro EMAs set bias; use RSI bars and breakout dots for timing.
MA Zone Candle Color 8.0This indicator plots a selected moving average (any type: EMA, VWAP, HMA, ALMA, custom composites, RVWAP, etc.) and creates a symmetrical grid of horizontal levels/bands spaced at precise, predefined increments around it. The spacing between levels can be set in two modes:
Percent (%) of the current MA value
Points (fixed price units)
The available increment sizes follow a specific geometric-like sequence (very similar to Gann square-of-9 derived steps), giving you clean, repeatable distance choices such as 0.61, 1.22, 2.44, 4.88, 9.77 points (or their percentage equivalents).
Core purpose
It visually marks exactly how far price has moved away from your chosen moving average — in multiples of the increment you selected.
Main practical use cases -
1. Measuring distance from key reference level
VWAP or EMA(20–89), Points mode, 1.22–4.88 incr.
"Price is currently 3.5 increments above VWAP" → quick context for context
2. Identifying structured price levels
Points mode + 2.44 or 4.88 increment
Treat every band as potential support/resistance or target zone
3. Comparing extension size across instruments
Percent mode, same increment value across symbols
Makes extensions visually comparable (BTC vs ETH vs SPX vs NQ)
4. Session / intraday structure mapping
RVWAP or session VWAP + Points mode
See how many "steps" price has made since session open / reset
5. Setting objective take-profit / scale-out levels
Any MA + medium increment (4.88–19.53 points)
"I'll take partials at +2×, +4×, +6× increment" — very mechanical
6. Volatility-adjusted grid (crypto/forex)
Points mode with larger increments
Prevents bands from becoming too wide/narrow during huge volatility swings
Most common combo
MA: VWAP or RVWAP (session/day reset)
Mode: Points
Increment: 1.220704 or 2.441408 or 4.8828125
Bands per side: 30–60
→ Creates a clean, evenly-spaced ladder of levels around the daily/intraday average that traders can use purely for distance measurement and objective level marking.
In short:
It's a very precise, repeatable distance ruler built around any moving average you choose — nothing more, nothing less.
XAUUSD 15m - Clean Signals (Anti-Spam v3)This **XAUUSD 15m – Clean Signals (Anti-Spam v3)** is a trend-aligned signal indicator built around an **EMA basis + ATR channel**. It aims to produce **fewer but cleaner** long/short prompts. A 7-EMA acts as the basis line, ATR forms inner/outer bands, and a 50-EMA provides a trend filter. By default, it uses **ADX strength filtering** plus a **confirmation candle** rule to avoid choppy conditions and weak breakouts. Signals come in three types: **DR (pullback → reversal back above/below the basis)**, **MR (pierce the inner band then reclaim it)**, and **BO (inner-band breakout, off by default due to over-triggering)**. To control frequency, it adds a **cooldown (minimum bars between signals)** and a strict **arming/reset de-duplication**: after a same-direction signal fires, it won’t fire again until price “resets” by touching the inner band or the basis (user-selectable). A “room to outer band” filter helps prevent chasing near extremes. Overall, it’s designed for disciplined 15-minute momentum-pullback entries, especially during liquid sessions like London.
Canales Pivot H y P - EXTREMOSBollinger Extremes measures the average estimated volatility during the day, compared to the closing price.
Pivots Universales 1H - H y PIt aims to measure the projected average volatility of the current day versus that of the previous day using Bollinger.
SA_ORB_ONR_CLOUD_vwapBandsSIGNAL ARCHITECT™ — ORB / ONR Cloud with VWAP Bands
Optimized for the 15-Minute Timeframe
Overview
The Signal Architect™ ORB / ONR Cloud is a session-structure and probability framework designed to help traders understand where price is statistically compressed, transitioning, or escaping value during the regular trading session.
On the 15-minute chart, this study excels at identifying:
High-probability consolidation zones
Early session directional intent
Fade vs continuation environments
Context for VWAP-based mean reversion or trend extension
Rather than predicting price, the indicator classifies market behavior using time-anchored ranges and volume-weighted statistics.
Core Components (15-Minute Context)
1️⃣ Overnight Range (ONR)
The Overnight Range captures price extremes formed before the regular session opens.
On the 15-minute timeframe, ONR acts as:
A higher-timeframe reference level
A source of institutional liquidity memory
A boundary where early session reactions often occur
2️⃣ Opening Range (ORB)
The Opening Range is defined as the first X minutes after the session open (default: 15 minutes).
On a 15-minute chart:
The ORB often forms entirely within a single candle
It represents initial institutional positioning
It helps differentiate initiative vs responsive behavior
3️⃣ ORB–ONR Cloud (Key Feature)
The Cloud is the overlapping area between the Overnight Range and the Opening Range.
This zone is critical on the 15-minute timeframe because it often represents:
Compressed auction
Balance / indecision
Liquidity absorption
Interpretation:
Price inside the cloud → Higher probability of consolidation, fade, or contraction
Price exiting the cloud → Transition toward expansion or trend resolution
The cloud is not a signal — it is a probability environment.
4️⃣ VWAP with Session-Weighted σ Bands
The study plots VWAP starting from the regular session open, along with true volume-weighted standard deviation bands (±1σ, ±2σ).
On the 15-minute timeframe:
VWAP defines fair value
σ bands help distinguish normal rotation vs statistical extension
Interaction with VWAP while inside the cloud often suggests mean-reverting conditions
Interaction with VWAP after leaving the cloud often confirms trend continuation
5️⃣ Breakout Classification (BRK)
A BRK event occurs when price closes outside BOTH:
The Overnight Range
The Opening Range
On the 15-minute chart:
BRK events often mark session regime changes
They are contextual markers, not entries
Arrows are color-matched to the candle (green candle → green arrow, red candle → red arrow)
To avoid clutter, breakouts can be limited to first-occurrence only.
Probability Layer (15-Minute Edge)
The indicator includes rolling probability calculations to quantify market behavior:
📊 Inside-Cloud Probability
Shows how often price remains inside the ORB–ONR cloud over the selected lookback.
Higher values → balance / compression dominant
Lower values → trend / expansion dominant
📉 Fade / Contraction Probability (Inside Cloud)
When price is inside the cloud, the study measures volatility contraction using ATR behavior.
Higher contraction % → Greater likelihood of rotation or fade
Lower contraction % → Cloud acting as launchpad rather than balance
📈 State Occupancy (5-State Model)
Tracks how price distributes its time across:
Above both ranges
Below both ranges
Inside ORB only
Inside ONR only
Inside the Cloud
This helps traders understand where the market statistically prefers to trade on the 15-minute structure.
Best Use Cases (15-Minute Chart)
✔ Contextual bias for intraday swing trades
✔ Identifying fade vs trend conditions
✔ VWAP-based execution alignment
✔ Avoiding low-probability entries inside compression
✔ Session structure awareness without lower-timeframe noise
What This Indicator Is NOT
❌ Not a buy/sell system
❌ Not predictive
❌ Not a guarantee of outcomes
It is a market structure and probability framework — designed to improve decision quality, not replace risk management.
Recommended Settings (15-Minute)
ORB Length: 15 minutes
VWAP Bands: ±1σ / ±2σ
Probability Lookback: 100–200 bars
Breakout Mode: First-occurrence only
Cloud Enabled: Yes
Risk & Compliance Notice
This tool is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or trade instructions.
All trading involves risk, including the possible loss of capital.
Standalone Signal - trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
Fibonacci + RSI - StrategyOverview
This is an intraday mean-reversion strategy designed for short timeframes (1–30 minutes).
It combines volatility-based Fibonacci bands with RSI momentum signals to identify temporary price extremes and trade pullbacks back toward fair value.
The strategy trades both long and short, uses limit entries, a manual exit logic, and a hard stop-loss as risk protection.
Market Context
The strategy assumes that, on intraday timeframes:
price frequently deviates from its short-term fair value,
extreme deviations tend to revert,
momentum (RSI) can confirm exhaustion.
It is not a trend-following system.
Trades are taken against short-term extremes, not in the direction of breakouts.
Indicators Used
1. Fibonacci Volatility Bands
The bands are calculated using:
VWMA (Volume Weighted Moving Average) as the central price,
Standard Deviation as a volatility measure,
a multiplier to create upper and lower bands.
Key levels:
Upper Band (fu1) – overextended price zone
Lower Band (fd1) – oversold price zone
Intermediate targets (fu764 / fd764) – mean-reversion profit targets
These bands behave similarly to dynamic volatility channels.
2. RSI (Relative Strength Index)
RSI length: typically 14
Oversold level: 30
Overbought level: 70
The strategy uses RSI crossovers to confirm momentum reversal:
crossing up from oversold → potential long
crossing down from overbought → potential short
Entry Rules
Long Entry
A long position is considered when:
Price trades below the lower Fibonacci band (fd1)
RSI crosses upward from the oversold level
Price is still below the predefined upside target
The trade is entered using a limit order at the candle close.
Short Entry
A short position is considered when:
Price trades above the upper Fibonacci band (fu1)
RSI crosses downward from the overbought level
Price is still above the predefined downside target
The trade is entered using a limit order at the candle close.
Exit Rules
Manual Exit (Primary Exit)
Positions are closed manually when price reaches predefined Fibonacci target levels:
Long: price moves back up into the target zone
Short: price moves back down into the target zone
This exit represents the mean-reversion objective of the strategy.
Stop-Loss (Risk Protection)
A hard stop-loss is always active to protect against adverse moves.
Long stop: below entry price
Short stop: above entry price
The stop is calculated as a fixed percentage (or ATR-based in later versions) from the entry price.
The stop-loss is not the primary exit, but a safety mechanism.
Order Management Philosophy
Limit entries are used to avoid market slippage.
Manual exits control trade logic.
Stop-loss exits control risk only.
Only one position per direction is managed at a time.
Alerts are generated at signal or entry time for automation or monitoring.
Risk & Characteristics
Designed for frequent, small trades
Low average drawdown per trade
Performance depends heavily on:
volatility regime
correct stop sizing
disciplined risk management
Without proper position sizing, the strategy must not be traded live.
Suitable Markets
Forex pairs
Indices
Liquid crypto pairs
Best performance is expected in ranging or mildly trending markets.
Summary
This strategy attempts to exploit short-term price overextensions by combining volatility bands with momentum confirmation.
It relies on mean reversion, controlled risk, and disciplined execution rather than large directional moves.
Levels by EVThis indicator plots a clean set of commonly used reference levels on the chart, including the prior day high and low (PDH/PDL), the current day open (DO), prior week high and low (PWH/PWL), prior month high and low (PMH/PML).
Daily, weekly, and monthly levels are sourced from their respective higher timeframes to keep the values stable and consistent across intraday charts. Session ranges are calculated using a selectable timezone and are updated in a controlled way to avoid unnecessary object creation and chart clutter. An optional setting allows developing session highs and lows to update while the session is active, or you can keep session levels fixed once the session ends.
Use these levels as context for liquidity, support/resistance, and session structure. Labels can be enabled or disabled, and can optionally be kept on the right edge so the chart remains readable on any zoom level.
Crypto Options Confluence Overlay Crypto Options Confluence Overlay is a decision-first options framework designed to help crypto traders answer one core question clearly and consistently:
Should I trade CALLs, PUTs, or stand down today?
This indicator does not attempt to price options or replace Greeks. Instead, it focuses on timing, directional bias, and structured exits, using a confluence of price, volatility, momentum, and higher-timeframe context on the daily chart.
It is designed specifically for crypto options and perpetuals, where volatility is high and overstaying trades is often more dangerous than missing them.
What This Indicator Shows
1️⃣ Directional Bias (CALL / PUT / NO-TRADE)
CALL → bullish directional environment
PUT → bearish directional environment
NO-TRADE → mixed alignment (stand down)
This bias is derived from:
Mean trend alignment
Momentum structure (Stoch RSI behavior)
Volatility context (ATR + deviation bands)
Optional weekly directional filter
2️⃣ Timing Window
The indicator highlights whether a trade window is ACTIVE, BUILDING, or OFF.
ACTIVE → valid timing environment
BUILDING → momentum approaching, but not ready
OFF → no timing edge present
This prevents entering trades too early or after momentum has already passed.
3️⃣ Preferred Entry Zone (PEZ)
Shaded zones visually guide where entries are statistically cleaner, rather than chasing price.
Green PEZ → preferred CALL entry region
Red PEZ → preferred PUT entry region
These zones are informational — they help assess entry quality, not force entries.
4️⃣ Primary Exit (Early Profit Zone)
Instead of encouraging traders to hold for a full ATR move, the indicator introduces a Primary Exit, which represents a partial ATR objective.
This:
Reduces emotional decision-making
Encourages consistent profit capture
Aligns better with how options premiums often move
The Primary Exit is intentionally designed as a realistic exit, not a maximum move target.
5️⃣ ATR Target & Risk Context
For traders who want structure:
ATR Target → extended move reference
Band-based Risk Line → invalidation zone
These are context tools, not mandatory holds.
6️⃣ Confidence Score
Each trade environment is scored (e.g., 2/4, 3/4) based on alignment factors.
Higher scores indicate cleaner conditions, not guaranteed outcomes.
How to Use the Indicator (Model Trade Example)
Example: CALL Trade
Bias: CALL
Window: ACTIVE
Confidence: 3/4 or higher
Price Location: Inside or near GREEN PEZ
Entry: Near PEZ during the active window
Primary Exit: At the Primary Exit line
Optional Runner: Toward ATR target if momentum remains strong
Risk: Below the Band-1 risk line
If bias flips to NO-TRADE or PUT, the trade is considered invalid.
Example: PUT Trade
The same process applies in reverse:
Red PEZ
Downside Primary Exit
Risk above Band-1 high
What This Indicator Is — and Is Not
✔ Is
A structured decision engine
Designed for crypto options behavior
Focused on timing + exits
Effective for avoiding bad trades
✖ Is Not
A signal-only indicator
A replacement for position sizing
A guarantee of profit
A strategy that forces constant trading
Recommended Use
Daily timeframe
Liquid crypto pairs
Options or perpetual traders
Traders who value discipline over frequency
Final Note
This indicator will often say NO-TRADE — by design.
Standing down is considered a valid, successful outcome.
Options Confluence Overlay - Stocks (1D) The Options Confluence Overlay — Stocks is a daily timeframe indicator designed for equities and ETFs, with a focus on timing, structure, and risk clarity rather than frequent signals.
This tool combines price structure, volatility, and momentum timing into a single visual framework that helps traders decide when to trade, when to stand aside, and where risk and exits are clearly defined.
Unlike fast-signal indicators, this script emphasizes trade quality over trade quantity.
🔍 What the indicator does
The indicator evaluates four core components on the daily chart, with an optional weekly trend filter:
• Mean + Deviation Band (Band 1) to define structure
• ATR-based targets to project realistic price expansion
• Momentum timing using Stochastic RSI (cross or approach)
• Confluence scoring to allow or block trades
Only when these elements align does the indicator permit a CALL, PUT, or display NO-TRADE.
🟩 Preferred Entry Zone (PEZ)
When a CALL or PUT is allowed, the indicator highlights a Preferred Entry Zone (PEZ):
• CALL PEZ: Mean → Lower Band
• PUT PEZ: Mean → Upper Band
This zone represents areas where risk is better defined and entries are typically more favorable.
🎯 Primary Exit (Partial ATR)
Instead of encouraging traders to chase full volatility expansion, the indicator includes a Primary Exit level:
• A configurable percentage of ATR
• Designed to capture early, high-probability movement
• Especially useful for shorter-term trades or profit protection
Full ATR targets are still shown, but the Primary Exit is intended as the first decision point, not a promise of full extension.
🧠 Entry Quality (Informational)
When enabled, the dashboard displays an Entry Quality hint:
• PEZ Deep — price is deeper into the zone (higher potential, higher patience required)
• PEZ Shallow — price is closer to the mean (faster, but less extended setups)
This is informational only and does not block trades.
🚦 Trade states
The dashboard clearly communicates one of three states:
• CALL allowed
• PUT allowed
• NO-TRADE (conditions are mixed or incomplete)
The indicator is intentionally conservative during NO-TRADE periods.
⚠️ Important notes
• Designed for stocks and ETFs, not crypto
• Intended for daily timeframe analysis
• Not financial advice
• Always combine with proper risk management
📘 Model Trade Example (CALL)
The dashboard shows CALL allowed
Price pulls back into the green PEZ
Weekly filter confirms bullish direction
Enter near the PEZ (no chasing breakouts)
Risk: below Band 1 low
Primary Exit: at the yellow Primary Exit level
Optional: hold partial size toward full ATR target if momentum remains strong
If the dashboard changes to NO-TRADE, no new entries are taken.
📕 Model Trade Example (PUT)
The dashboard shows PUT allowed
Price rallies into the red PEZ
Weekly filter confirms bearish direction
Enter near resistance inside PEZ
Risk: above Band 1 high
Primary Exit: at the yellow Primary Exit level
Avoid holding through momentum exhaustion
Intervalo de la confianza T.JODENStandard deviation measures how dispersed the data in a set is relative to its average (mean). A low standard deviation indicates that the data is clustered close to the mean, while a high standard deviation shows that it is widely spread, making it useful for evaluating consistency and risk (in finance).
This work provides two channels within a single indicator, making it more powerful for providing dual information.
The Confidence Interval-10 (CI-10) channel (FOMO and FUD) contains another channel representing the Standard Deviation of 14-day data (14-day SMA and 14-day VWMA).
All you have to do is adjust the last two data points to reduce the color of the channels, and you'll see the second channel appear almost magically.
Analyze the second channel within the main channel. This channel uses the 14-day Standard Deviation (STD-14), the 14-day SMA, and the 14-day VWMA.
NOTE: This is not investment or trading advice.
Users assume all risk of loss.
But if you profit from your investments using this indicator, remember that you've done well.
Momentum Ghost MachineTrend Strength + Momentum Ghost Machine: The Complete Velocity System
Two powerful engines, one chart.
This indicator fuses a robust Trend Strength Oscillator with the modern, noise-canceling "Momentum Ghost Machine" to give you a complete picture of market direction and hidden velocity in a single pane.
Stop guessing if the move is real. See the Trend (Background) and feel the Speed (Ghost Line) simultaneously.
🔥 CORE FEATURES
1. The Trend Strength Oscillator (Background Engine)
The background histogram is a dedicated engine that measures the pure strength and direction of the current trend.
Green Zones (Above 0): Indicate Bulls are in control and the trend is rising.
Red Zones (Below 0): Indicate Bears are in control and the trend is falling.
Smart Smoothing: Includes a built-in JMA (Jurik Moving Average) smoother to filter out market noise and prevent false signals during choppy conditions.
2. Momentum Ghost Machine (The Velocity Engine)
A highly responsive momentum oscillator designed to detect shifts in market speed before price turns.
4-State Color System:
Dark Green: Strong Upside Acceleration (The "Go" Signal).
Light Green: Upside Deceleration (Momentum fading, prepare for a pause).
Dark Red: Strong Downside Acceleration (The "Drop" Signal).
Light Red: Downside Deceleration (Selling pressure fading, prepare for a bounce).
3. Signal Line Crossovers
The Ghost Machine includes a fast-reacting Signal Line (Orange).
Cross Above: Bullish momentum injection.
Cross Below: Bearish momentum injection.
🚀 HOW TO USE
For Trend Trading:
Wait for the Trend Background to turn Green.
Confirm entry when the Ghost Machine Line crosses above its orange signal line and turns Dark Green.
For Reversals:
Look for Divergence: If price makes a higher high but the Ghost Machine makes a lower high (Light Green), momentum is exhausted.
Wait for the Ghost Machine to turn Red and cross below the signal line for a high-probability short.
For Exits:
If you are Long (Dark Green) and the bar turns Light Green, momentum is slowing. This is your warning to tighten stops or take profit.
⚙️ SETTINGS & CUSTOMIZATION
Trend Settings: Adjust length and smoothing type (JMA, EMA, SMA, etc.) to match your trading style.
Ghost Machine: Fine-tune momentum sensitivity and post-smoothing to fit your specific asset (Crypto, Forex, or Indices).
Visuals: Fully customizable colors for every state of the trend and momentum.
"Trend is direction. Momentum is fuel. This tool tracks both."
Step Channel█ OVERVIEW
"Step Channel" is a technical analysis indicator that builds a dynamic price channel based on market volatility (ATR) and a step-like logic for updating levels. It is ideal for traders using market structure analysis, price action, as well as trend-following, range-bound, and breakout strategies.
Thanks to the adjustable channel width, the indicator can be easily adapted to various instruments, timeframes, and trading styles – from scalping to swing trading.
█ CONCEPTS
The indicator is a universal trading tool that supports trend detection, trading in consolidation, and breakout-based strategies.
The key feature is the step-like update of the baseline (MID). Unlike classic moving averages:
- the MID line does not react to every candle
- it updates only after breaking a volatility-based level
- each breakout creates a new "step" in the market structure
This keeps the market structure clear, with regime changes being distinct and objective.
█ FEATURES
ATR-based dynamic channel
The channel width automatically adjusts to current volatility – widening during high-activity periods and narrowing in consolidations, ensuring constant adaptation to market conditions.
Structural MID line
Central, adaptive trend line updated in steps after a breakout.
Inner levels (IN)
The zone of typical price movement within the structure. These levels change only after a sustained breakout confirmed by candle close – this exact breakout generates the structural signals (Step UP/DOWN).
Outer levels (OUT)
An orientational zone indicating the potential reach of a strong, single price move beyond the current structure. Price never stays in this zone (levels shift immediately after breaking IN). Primarily used as:
- main take-profit levels
- dynamic SL in aggressive strategies
Structural signals
Generated exclusively at the moment of a real structure change:
- Step UP – upside breakout
- Step DOWN – downside breakout
Signals appear only on the breakout candle.
Built-in alerts
Instant notifications for:
- Step UP
- Step DOWN
█ HOW TO USE
Adding to the chart
Search in the TradingView indicators library: "Step Channel" or paste the code in Pine Editor.
Key parameter configuration:
- ATR Length – longer value = more stable structure (fewer signals)
- Inner Multiplier – sensitivity of inner levels (lower = narrower operational channel)
- Outer Multiplier – reach of outer extremes (higher = further TP)
- Price position interpretation:
- near MID → market equilibrium, potential consolidation
- in IN zone → healthy, controlled trend move
- in OUT zone → only an orientational target for extreme move (price does not stay in this zone)
█ APPLICATIONS
- Trend strategies – entries after Step UP/DOWN signal in the direction of the new trend, re-entry at MID, trailing stop along MID; generally positions only in line with the current structure direction
- Range trading – buying at lower IN/OUT and selling at upper IN/OUT in the absence of structure change
- Breakout strategies – entries on breakout candle close with volume or HTF confirmation
- Position management – SL behind MID or opposite IN, TP at OUT (full) or IN (partial)
- Scalping on low timeframes – quick trades inside the IN channel with tight SL
- Swing trading – trend filtering on HTF and precise entries on LTF after structural signal
█ NOTES
- works on all markets and timeframes
- requires individual adjustment of multipliers to the instrument and trading style
- recommended to use with additional indicators, e.g. RSI, Fibonacci, pivots
WoAlgo x DBG v3 Premium**WoAlgo x DBG v3 Premium - Breakout & Trailing System**
## Overview
WoAlgo x DBG v3 Premium is a comprehensive trading indicator that combines breakout detection, EMA crossover signals, and an intelligent trailing stop mechanism. This indicator is designed to identify potential entry points and manage trades with dynamic exit strategies.
## How It Works
The indicator operates using a multi-component approach:
**Entry Mechanism (3 Modes)**
1. **Breakout Mode**: Detects when price breaks above recent highs or below recent lows, simulating pending stop orders
2. **EMA Cross Mode**: Generates signals based on fast/slow EMA crossovers (default: 10/21)
3. **Both Mode**: Combines breakout and EMA signals for confluence-based entries
**Trailing Stop System**
The core feature of this indicator is its trailing stop mechanism:
- Activates when trade reaches minimum profit threshold (default: 0.6 points)
- Moves stop loss progressively as price moves favorably (default step: 0.2 points)
- Locks in profits while allowing trades to capture extended moves
- Provides dynamic exit rather than fixed take profit only
**Time Filter**
- Customizable trading window with timezone conversion
- Day-of-week filters to avoid specific trading days
- Automatic pending order cancellation outside trading hours
## Key Features
- **Non-Repainting Signals**: All signals confirmed on bar close only
- **Real-Time Dashboard**: Displays win rate, profit factor, trade statistics, and exit type breakdown
- **Visual Trade Management**: Shows entry, TP, SL, and trailing stop levels on chart
- **Pending Zone Visualization**: Displays potential breakout trigger levels
- **Comprehensive Alerts**: Separate alerts for entries, TP hits, SL hits
## Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| Entry Mode | Breakout | Signal generation method |
| Breakout Period | 1 | Candles for high/low calculation |
| Breakout Buffer | 0.3 | Distance from high/low for pending |
| Fast EMA | 10 | Fast moving average period |
| Slow EMA | 21 | Slow moving average period |
| Take Profit | 5.0 | Points for TP level |
| Stop Loss | 8.0 | Points for SL level |
| Trail Start | 0.6 | Minimum profit to activate trailing |
| Trail Step | 0.2 | Trailing stop movement increment |
## How to Use
1. **Apply to Chart**: Add indicator to your preferred timeframe
2. **Configure Time Filter**: Set your trading session hours and timezone offset
3. **Monitor Signals**:
- Green triangle = potential long entry
- Red triangle = potential short entry
4. **Track Active Trades**: Dashboard shows current position status and statistics
5. **Review Performance**: Check win rate, profit factor, and exit type distribution
## Dashboard Statistics
The real-time dashboard displays:
- Total trades, wins, and losses
- Win rate percentage
- Profit factor calculation
- Exit type breakdown (TP / Trailing / SL hits)
- Net profit and maximum drawdown
- Current position status
## Best Practices
- **Timeframe Selection**: Test on multiple timeframes to find optimal settings for your trading style
- **Parameter Optimization**: Adjust TP/SL/Trailing parameters based on instrument volatility
- **Time Filter Usage**: Enable time filter to avoid low-liquidity periods
- **Confluence Approach**: Consider using "Both" entry mode for higher probability setups
- **Risk Management**: Always use position sizing appropriate to your account
## Limitations
- Indicator performance varies across different market conditions
- Historical statistics shown do not guarantee future results
- Backtest results may differ from live trading due to slippage and spread
- Works best on liquid markets with consistent price action
## Important Disclaimer
**This indicator is for educational and analytical purposes only.**
- This is not financial advice or a recommendation to trade
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Always use proper risk management strategies
- Consider your financial situation and risk tolerance before trading
- Seek advice from qualified financial professionals if needed
If you find this indicator helpful for your analysis, please consider giving it a **Boost** (👍) to support future development and help other traders discover it.
For more trading tools, educational content, and indicator updates, feel free to **follow @ionmarpie** on TradingView. Your support motivates continued improvement and new releases!
Happy trading and always manage your risk wisely! 📈
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
