Berkusa-trendThis is a strategy created purely for educational and testing purposes. It is not recommended for buy/sell decisions. You can test it and provide feedback to see whether it works for trend-following. It is written with a simple logic similar to SuperTrend. I believe it might be useful for scalping. However, do not use it for trading without careful observation.
M-oscillator
BTC/Dominance RSI by Sajad BagheriTitle: "BTC/Dominance RSI by Sajad Bagheri"
Description: "Combines BTC Price RSI (Red) and BTC Dominance RSI (Green) to detect trend conflicts and overbought/oversold conditions."
Category: Oscillators
Tags: #BTC, #Dominance, #RSI, #Bitcoin
Access: Public/Private
BTC/Dominance RSI by Sajad BagheriTitle: "BTC/Dominance RSI by Sajad Bagheri"
Description: "Combines BTC Price RSI (Red) and BTC Dominance RSI (Green) to detect trend conflicts and overbought/oversold conditions."
Category: Oscillators
Tags: #BTC, #Dominance, #RSI, #Bitcoin
Access: Public/Private
Momentum Phases📌 Overview
The Momentum Phases indicator helps traders quickly identify periods of strong bullish or bearish momentum based on the relationship between a short‑term and a long‑term Moving Average (SMA).
It helps traders visually distinguish between Positive 🟢 , Negative 🔴 , and Neutral ⚪ phases by plotting a dynamically colored state line and generating optional alerts when a phase change occurs.
🧠 How It Works
⦿ SMA Calculation
The indicator calculates two SMAs:
Short SMA (default: 7 periods)
Long SMA (default: 65 periods)
Both SMA lengths can be adjusted by the user.
// SMA calculations
smaShort = ta.sma(close, shortLen)
smaLong = ta.sma(close, longLen)
⦿ Momentum Ratio
A ratio is calculated:
ratio = smaShort / smaLong
This ratio measures how far the short‑term trend has diverged from the long‑term trend.
⦿ Threshold Levels
Positive Threshold (default: 1.05) — indicates short SMA is at least 5% above the long SMA.
Negative Threshold (default: 0.95) — indicates short SMA is at least 5% below the long SMA.
These thresholds are user‑adjustable.
⦿ Momentum States
Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) → Short SMA is at least 5% above Long SMA.
Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) → Short SMA is at least 5% below Long SMA.
Neutral: Ratio between the two thresholds.
⦿ State Line Plot
The indicator plots a flat state line at 1.0 when in positive or negative momentum, and 0.0 when in neutral.
The state line’s color changes dynamically:
Green 🟢 Positive Momentum: Ratio ≥ Positive Threshold (default: 1.05) – Short SMA is at least 5% above Long SMA.
Red 🔴 Negative Momentum: Ratio ≤ Negative Threshold (default: 0.95) – Short SMA is at least 5% below Long SMA.
Gray ⚪ Neutral: Ratio between the two thresholds.
📈 How to Use
Trend Confirmation: Use the state line color to quickly confirm the prevailing momentum.
Green 🟢: Consider focusing on long setups
Red 🔴: Consider focusing on short setups
Gray ⚪: Consider staying neutral or waiting for stronger signals
Trade Filtering: Filter trades in your existing strategy so they only align with the detected momentum phase.
Early Warnings: Enable phase change alerts to get notified when market conditions shift.
⚙️ Customization
SMA Periods: Adjust short and long SMA lengths to suit your trading timeframe.
Thresholds: Tighten (closer to 1.00) for more frequent signals, or widen for fewer but stronger signals.
🔔 Alerts
🟢 Positive Momentum START – Stock/Security shifts into positive momentum.
⚪ Positive Momentum END – Positive momentum ends (neutral state).
🔴 Negative Momentum START – Market shifts into negative momentum.
⚪ Negative Momentum END – Negative momentum ends (neutral state).
Momentum Phase Change – Any shift between Positive, Negative, or Neutral.
🎯 Add this indicator to your chart to track momentum phases like a pro — know exactly when trends start, end, or stall.
MistaB SMC Navigation ToolkitThe MistaB SMC Navigation Toolkit is a multi-functional price action and Smart Money Concepts (SMC) tool designed to help traders quickly identify key market structure shifts, order blocks, fair value gaps (FVGs), premium/discount zones, and higher timeframe (HTF) trend alignment.
This indicator integrates multiple SMC elements into one chart overlay, reducing the need for multiple scripts and improving workflow efficiency.
Main Features:
Automatic Order Block Detection – Identifies bullish and bearish order blocks with optional displacement and volume filters.
Fair Value Gap Highlighting – Marks bullish and bearish FVG zones with optional HTF confirmation.
Market Structure Shift Labels – Detects BoS and CHoCH events with fractal-based swing logic.
HTF Trend Confirmation – Color-codes structure and FVGs based on higher timeframe alignment.
Premium/Discount Zones – Visually divides the range for optimal trade entries.
Custom Cleanup System – Automatically removes broken or filled OB/FVG zones after a user-defined delay.
How to Use
Apply to Your Chart
Add the indicator to your preferred trading timeframe (e.g., 1H, 15M, 5M).
Select your desired HTF Confirmation Timeframe in the settings.
Interpreting the Chart Elements
Green/Red Order Blocks: Potential demand (green) or supply (red) zones.
Green/Red FVG Zones: Imbalances where price may return before continuing.
Market Structure Labels:
HH BoS / HL BoS → Bullish structure breaks.
LH BoS / LL BoS → Bearish structure breaks.
CHoCH → Change of Character (potential reversal).
Premium Zone (red): Above the midline — potential selling areas in a bearish bias.
Discount Zone (green): Below the midline — potential buying areas in a bullish bias.
Trade Example Workflow
Identify overall HTF trend (HTF label at top of chart).
Wait for structure shifts (BoS/CHoCH) aligned with HTF bias.
Look for OB or FVG in discount (buy) or premium (sell) zones.
Manage trade risk with stop-loss below/above the zone.
Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice and should not be relied upon for investment decisions.
Trading financial markets involves significant risk, and you may lose more than your initial investment.
Always do your own research, test strategies in a demo account, and consult a licensed financial advisor before trading with real capital.
The creator and publisher of this script assume no responsibility for any losses incurred from its use.
Approx STH Unrealized Profit [Relative %]This indicator estimates the unrealized profit or loss of short-term holders (STH) without requiring on-chain data. Instead of using actual STH Realized Price (average purchase price), it employs a 155-day Simple Moving Average (SMA) to approximate the behavior of "recent buyers."
How It Works
The indicator calculates the percentage deviation between the current price and the 155-day SMA using the formula:
(Current Price - 155 SMA) / 155 SMA * 100%.
Positive values indicate profit, while negative values show loss. Key threshold levels are set at +50% (overbought) and -30% (oversold).
Trading Applications
Profit > 50% - STH are experiencing significant profits, suggesting potential correction. Consider taking partial profits.
0% < Profit < 50% - Moderate profits indicate the trend may continue. Maintain positions.
Profit ≈ 0% - Price is near STH's average entry point, showing market indecision.
-30% < Profit < 0% - STH are at a loss, potentially signaling accumulation opportunities.
Profit < -30% - Extreme oversold conditions may present buying opportunities.
Limitations
SMA only approximates STH behavior.
May produce false signals during sideways markets.
SMA lag can be noticeable in strong trending markets.
Recommendation
For improved accuracy, combine this indicator with trend-following tools (200 EMA, Volume analysis) and other technical indicators. It serves best as a supplementary tool for identifying overbought/oversold market conditions within your trading strategy.
Wolf Exit Oscillator Enhanced
# Wolf Exit Oscillator Enhanced
## What it is (quick take)
**Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards:
1. **Signal-line crossover** (to avoid bailing on shallow dips), and
2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check).
Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold.
> Works best **paired** with:
>
> * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries
> * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context
---
## How to use it (operational workflow)
1. **Set your bands**
* `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60).
* Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**).
* Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**).
2. **Choose strictness**
* **Base mode**: the moment TSI crosses out of a band, you get an exit signal.
* **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**.
* **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends.
3. **Execute with structure**
* **Full exit** when a signal fires, or
* **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or
* **Move stop** to lock gains once an exit signal prints.
4. **Alerts**
* Set to **“Once per bar close”** to avoid intrabar flip-flop.
* Use the two provided alert names for automation (see “Alerts” below).
---
## Signals & visuals
* **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal).
* **Horizontal bands** at `exitHigh` and `exitLow`.
* **Labels**:
* **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters).
* **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters).
**Alerts (stable names):**
* **WolfExit — Exit Long**
* **WolfExit — Exit Short**
---
## Non-repainting behavior (what to expect)
* The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint.
* **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals.
* If you enable the EMA filter, that check is also evaluated at bar close.
---
## Every input explained (and how changing it alters behavior)
### Momentum engine (TSI)
* **TSI Long EMA Length (`tsiLongLen`, default 25)**
Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals.
* **TSI Short EMA Length (`tsiShortLen`, default 13)**
Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI.
* **TSI Signal Line Length (`tsisigLen`, default 7)**
Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals.
### Thresholds (the bands)
* **Exit Threshold High (`exitHigh`, default +60)**
Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner.
* **Exit Threshold Low (`exitLow`, default −60)**
Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch.
### Confirmation layers
* **Require Signal Line Crossover (`enableSignalX`, default true)**
On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits.
* **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)**
On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**.
* **EMA Exit Confirmation Length (`exitEMALen`, default 50)**
Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits.
### Visuals
* **Show Histogram (`showHist`)**
On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross).
* **Plot Exit Signals (`showSignals`)**
Toggle labels if you only want the lines/bands with alerts.
---
## Tuning recipes (quick, practical)
* **Strong trend days (avoid premature exits)**
* Keep **`enableSignalX = true`** and **`enableEMAFilter = true`**
* Increase **`exitEMALen`** (e.g., 80)
* Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70)
* **Choppy/range days (exit faster, take the cash)**
* **`enableEMAFilter = false`** (don’t wait for price filter)
* **`enableSignalX`** optional; try off for quicker responses
* Bring bands closer to **±50** to take profits earlier
* **Scalping / lower timeframes**
* Shorten **TSI lengths** a bit (e.g., 21/9/5)
* Consider **`exitHigh=55 / exitLow=-55`**
* Keep **histogram on** to visualize momentum flip risk
* **Swing trading / higher timeframes**
* Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100)
* Wider bands (±65 to ±75) to catch bigger moves before exiting
---
## Playbooks (how to actually trade it)
* **Entry from ABS NR FS, exit with Wolf**
* Take entries from **ABS NR — Fail-Safe Confirm** (triangle).
* Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic.
* **Pyramid & protect**
* Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band).
* The first **Exit** signal → take partial, raise stop to last higher low / lower high.
* **Mean-reversion fade management**
* When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue.
---
## Suggested starting points
* **Day trading (5–15m):**
* TSI: **25 / 13 / 7** (default)
* Bands: **+60 / −60**
* Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50**
* Alerts: **Once per bar close**
* **Scalping (1–3m):**
* TSI: **21 / 9 / 5**
* Bands: **±55**
* Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed)
* **Swing (1h–D):**
* TSI: **35 / 21 / 9**
* Bands: **+65 / −65** (or ±70)
* Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100**
---
## Best-practice pairings
* **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)**
* Take ABS triangles; let Wolf standardize exits so you’re not guessing.
* **Context:** **ABS Companion Oscillator**
* Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints.
* If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority.
---
## Notes & disclaimers
* This is an **exit signal tool**, not a strategy or broker.
* Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials).
* All evaluations are **current timeframe**; no higher-timeframe lookahead is used.
* Markets change—tune the bands and confirmations per symbol/timeframe.
---
**Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
Parabolic Stoch SAR VisualizerParabolic Stoch SAR Visualizer — Momentum-Driven Trend Precision Tool
Overview:
Parabolic Stoch SAR Visualizer is a thoughtfully engineered hybrid indicator that blends momentum oscillation and trend-following mechanics into one robust system. By applying a custom Parabolic SAR calculation directly on a double-smoothed stochastic oscillator (rather than on price), it generates cleaner signals with enhanced trend detection and fewer false positives than typical Parabolic RSI or standard SAR variants.
Unique Functionality:
Momentum smoothing : The base stochastic %K undergoes double smoothing via consecutive simple moving averages, significantly cutting down random noise and erratic swings common in raw stochastic readings. This stabilizes momentum tracking, isolating true price strength and weakness.
Custom Parabolic SAR on smoothed momentum : Traditional SAR algorithms operate on price data, acting as trailing stops. This indicator repurposes SAR to work on smoothed stochastic values, effectively converting it into a momentum-driven directional filter. This yields a more adaptive and responsive trend signal focused on genuine momentum shifts instead of price noise.
Bounded SAR range and adjustable acceleration : SAR values are mathematically restricted between 0 and 100, aligning with the stochastic scale to prevent distortions. Traders can customize acceleration parameters (start, increment, max) to fine-tune trend sensitivity relative to market volatility or specific strategies.
Signal clarity through filterin g: Minimum bar spacing and minimum SAR movement thresholds between plotted dots reduce chart clutter, highlighting only meaningful trend changes and filtering out insignificant fluctuations.
Enhanced visuals : The oscillator line smoothly transitions its color gradient between defined uptrend and downtrend hues, intuitively signaling momentum strength. Parabolic SAR dots are offset from the oscillator line with multi-layered glow effects, making trend flips easy to spot at a glance.
Trading Application:
Trend identification : Momentum-based SAR dots offer precise marking of trend shifts, helping traders avoid false breakouts and premature trades.
Entry and exit timing : Combining the double-smoothed stochastic oscillator and SAR dots creates a reliable framework to confirm momentum shifts and optimal trade entries or exits.
Customizable for volatility regimes : Adjustable acceleration and filtering parameters allow scalpers to increase signal sensitivity, while swing traders can dial back noise for smoother trend recognition.
Visual clarity for fast decisions : Gradient color coding and glowing SAR dots facilitate immediate momentum assessment without complex analysis, empowering quicker, more confident trade actions.
Advantages over Parabolic RSI and similar indicators:
Parabolic RSI’s direct application of SAR on RSI often results in noisy, choppy signals prone to whipsaws. This indicator’s double-smoothed stochastic foundation delivers a cleaner, steadier signal.
Applying SAR to smoothed momentum rather than price transforms it into a directional filter that better captures true market strength with reduced lag.
Adaptive plotting thresholds and enhanced visuals minimize clutter and ambiguity, improving trader focus and execution speed.
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) .
While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach:
It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility .
The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio.
This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging.
────────────────────────────────────────────────────────────
╭────────────╮
How It Works
╰────────────╯
1. Standard Deviation Calculation
• Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`).
2. Directional Separation
• Volatility on up bars (`chg > 0`) is treated as upward volatility .
• Volatility on down bars (`chg < 0`) is treated as downward volatility .
3. Rolling Sum
• Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`.
4. Relative Volatility Mass
• The two sums are added together to get the total volatility mass for the rolling window.
Formula:
RVM = Σ(σ up) + Σ(σ down)
where σ is the standard deviation over `stdDevLen`.
╭────────────╮
Key Features
╰────────────╯
Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines.
Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period.
Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA.
Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier.
Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source.
╭─────╮
Usage
╰─────╯
Trend Confirmation: High RVM values can confirm strong trending conditions.
Breakout Detection: Spikes in RVM often precede or accompany price breakouts.
Volatility Cycle Analysis: Compare periods of contraction and expansion.
RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters.
Consider normalizing or using smoothing for easier visual comparison.
╭────────────────╮
Example Settings
╰────────────────╯
Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10`
Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20`
Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history.
╭───────────────────╮
Notes & Limitations
╰───────────────────╯
Not a directional signal by itself — use alongside price structure, volume, or other indicators.
Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness.
Because it sums, not averages, values will scale with both volatility and chosen window size.
╭───────╮
Credits
╰───────╯
Based on the Relative Volatility Index concept by Donald Dorsey (1993).
TradingView
SciQua - Joshua Danford
BTFD 5 Break-Out indyThe "BTFD 5 Break-Out indy" indicator uses background colors and buy/sell triangles to visually represent trading signals and position status based on its logic. Here's a brief explanation of the logic behind the green/red background and buy/sell triangles:
- **Green/Red Background**:
- **Green Background**: Displayed when the indicator is in a "long" position, meaning a buy signal has been triggered and the position is active. This indicates the market is in a favorable state for holding a long trade, based on conditions like an oversold breakout or strong momentum.
- **Red Background**: Shown when not in a long position, either before entering a trade or after exiting due to a sell signal (e.g., trend reversal, overbought conditions, or stop-loss hit). It signals a neutral or unfavorable state for buying.
- **Buy/Sell Triangles**:
- **Buy Triangles (Green, Below Bar)**: Plotted when a buy signal is triggered, indicating a high-probability entry point. This occurs when the market shows signs of recovery from an oversold state (e.g., a significant upward shift in the smoothed Z-score) or strong momentum (e.g., a rapid change in the rate-of-change metric). The triangle marks the exact bar where the long position is initiated.
- **Sell Triangles (Red, Above Bar)**: Plotted when an exit condition is met, signaling the close of a long position. Exits are triggered by a trend reversal (e.g., a trailing moving average turning bearish), a shift to overbought conditions, or a stop-loss breach. The triangle marks the bar where the position is closed.
In summary, the green background reflects an active long trade, while red indicates no position. Buy triangles signal entry points based on oversold breakouts or momentum, and sell triangles mark exits due to trend changes, reversals, or losses, aligning with institutional dip-buying strategies.
SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector
Version: PineScript™v6
📌Description
The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart.
🚀Points of Innovation
Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence.
Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation.
Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions.
Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts.
Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles.
Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions.
🔧Core Components
Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis.
Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences.
Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation.
Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line.
🔥Key Features
Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities.
Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance.
Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis.
Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals.
🎨Visualization
SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence.
Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength.
Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points.
Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum.
📖Usage Guidelines
Setting Categories
Primary Symbol
Default: (Chart Symbol)
Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart.
Secondary Symbol
Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation
Description: The asset to compare against the primary symbol.
Lookback Period
Default: 14
Range: 8-100
Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator.
Divergence Type
Default: RSI
Options: RSI, MACD
Description: Choose the momentum indicator to use for the divergence calculation.
Enable Volume Weighting
Default: true
Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume.
✅Best Use Cases
Identifying high-probability reversal points by spotting divergence in overbought or oversold territory.
Confirming the strength of a trend by observing sustained positive or negative divergence.
Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence.
Risk management by recognizing when a current trend is losing its underlying momentum.
⚠️Limitations
Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ).
Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system.
Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes.
💡What Makes This Unique
Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective.
Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals.
🔬How It Works
Data Normalization:
The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales.
Momentum Calculation:
It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series.
Divergence Computation:
The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value.
💡Note:
For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
EMA Deviation Strategy📌 Strategy: EMA Deviation Strategy
The EMA Deviation Strategy identifies potential reversal points by measuring how far the current price deviates from its Exponential Moving Average (EMA). It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, and enters trades when price reaches extreme zones.
🔍 Core Logic:
• Buy Entry: When price deviates significantly below the EMA, approaching the historical minimum deviation — signaling a potential rebound.
• Sell Entry: When price deviates significantly above the EMA, nearing the historical maximum deviation — signaling a possible pullback.
• Optional Take Profit / Stop Loss: Manage risk with customizable exit levels.
⚙️ Customizable Inputs:
• EMA length and lookback period
• Threshold sensitivity for entry signals
• Take profit and stop loss percentages
📈 Best Used For:
• Mean reversion setups
• Assets with cyclical or range-bound behavior
• Identifying short-term overbought/oversold conditions
EMA Deviation with Min/Max Levelshis indicator visualizes the percentage deviation of the closing price from its Exponential Moving Average (EMA), helping traders identify overbought and oversold conditions. It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, highlighting extreme zones with color-coded signals:
• 🔵 Normal deviation range
• 🔴 Near historical maximum — potential sell zone
• 🟢 Near historical minimum — potential buy zone
Use it to spot price extremes relative to trend and anticipate possible reversals or mean reversion setups.
✨Smart Option MACD: Bullish, Bearish, Neutral Logic by AKM ✨The **Smart Option MACD: Bullish, Bearish, Neutral Logic by AKM** is an advanced indicator designed for TradingView, tailored for option traders on indices like NIFTY. It automates options trend scanning by applying MACD analysis to both Call (CE) and Put (PE) options near the ATM (At-The-Money) strike, providing actionable market states—Bullish, Bearish, or Neutral—using distinct logic for both strikes and overall market context.
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### Core Features
- **Option Selection Logic:** The script dynamically calculates ATM, CE, and PE strike prices based on the underlying index spot price and customizable user inputs for expiry, strike distance, and OTM/ITM shift.
- **MACD on Option Prices:** For both CE and PE symbols, the indicator computes the MACD (Moving Average Convergence Divergence) and Signal lines. It uses standard MACD settings: 12-period EMA (fast), 26-period EMA (slow), and 9-period Signal.
- **Strike Status Classification:**
- AZL 🔼: Indicates MACD > 0 for that option, signifying positive momentum.
- BZL 🔽: Indicates MACD 0 & crossover up), PE is bearish (MACD<0 & crossover down).
- **Bearish:** PE is bullish & crossover up, CE is bearish & crossover down.
- **Neutral:** All other scenarios—including mixed or undefined signals.
***
### Table Output
A real-time table is displayed on the chart (top-right) with key option and market details:
- Spot price
- ATM Strike
- CE/PE strike status (momentum + crossover logic)
- Option prices
- Overall market state, color-coded for clarity
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### How to Use This Indicator
- **Entry Signal:** Use the Bullish/Bearish status for directional trades or option strategies. Bullish calls for buying or selling upward momentum options; Bearish favors downside trades. Neutral advises caution or range-bound trades.
- **Customizability:** Expiry, strike width, OTM/ITM offset, and chart resolution are user-controlled, allowing adaptation to different market contexts.
- **Best Practice:** Use alongside price action, support/resistance zones and other indicators to confirm options momentum, as MACD is powerful yet not infallible.
***
### Who Is It For?
- **Option traders** who want to automate trend/momentum detection for CE/PE strikes instead of manual chart switching.
- **Index traders** (NIFTY, BANKNIFTY...) seeking systematic edge in intraday/positional strategies tied to option momentum.
- **Technical analysts** interested in visual, rule-based signals combining options data and classic MACD logic.
***
The Smart Option MACD indicator streamlines multi-strike, multi-option momentum analysis and presents clear actionable logic directly on your chart for enhanced decision-making. Use it as a core part of your TradingView toolkit for options-focused market views.
Buy/Sell Alert Strong Signals [Wilson]This indicator combines Smoothed Moving Averages (SMMA), Stochastic Oscillator, and popular candlestick patterns (Engulfing, 3 Line Strike) to highlight potential trend reversal zones.
Main features:
4 SMMA lines (21, 50, 100, 200) for short-, medium-, and long-term trend analysis.
Trend Fill: Background shading when EMA(2) and SMMA(200) are aligned, visually confirming trend direction.
Stochastic Filter: Filters signals based on overbought/oversold conditions to help reduce noise.
Candlestick pattern recognition:
Bullish/Bearish Engulfing
Bullish/Bearish 3 Line Strike
Alerts for each pattern when Stochastic conditions are met.
⚠️ Note: This is a technical analysis tool. It does not guarantee accuracy and is not financial advice. Always combine with other analysis methods and practice proper risk management.
🛠 How to Use:
1. SMMA Settings
21 SMMA & 50 SMMA: Short- and medium-term trend tracking.
100 SMMA: Optional mid/long-term filter (toggle on/off).
200 SMMA: Major trend direction reference.
2. Trend Fill
EMA(2) > SMMA(200): Background shaded green (uptrend bias).
EMA(2) < SMMA(200): Background shaded red (downtrend bias).
Can be enabled/disabled in settings.
3. Stochastic Filter
K Length, D Smoothing, Smooth K: Adjust sensitivity.
Overbought & Oversold: Default 80 / 20 thresholds.
Buy signals only valid if Stochastic is oversold.
Sell signals only valid if Stochastic is overbought.
4. Candlestick Patterns
3 Line Strike:
Bullish: Three consecutive bullish candles followed by one bearish candle closing below the previous, with potential reversal.
Bearish: Three consecutive bearish candles followed by one bullish candle closing above the previous, with potential reversal.
Engulfing:
Bullish: Green candle fully engulfs the prior red candle body.
Bearish: Red candle fully engulfs the prior green candle body.
5. Alerts
Alerts available for each pattern when Stochastic conditions are met.
Example: "Bullish Engulfing + Stochastic confirm".
📌 Important Notes
Do not use this indicator as the sole basis for trading decisions.
Test on a demo account before applying to live trades.
Combine with multi-timeframe analysis, volume, and proper position sizing.
Buy/Sell Alert Strong Signals [Wilson]This indicator combines Smoothed Moving Averages (SMMA), Stochastic Oscillator, and popular candlestick patterns (Engulfing, 3 Line Strike) to highlight potential trend reversal zones.
Main features:
4 SMMA lines (21, 50, 100, 200) for short-, medium-, and long-term trend analysis.
Trend Fill: Background shading when EMA(2) and SMMA(200) are aligned, visually confirming trend direction.
Stochastic Filter: Filters signals based on overbought/oversold conditions to help reduce noise.
Candlestick pattern recognition:
Bullish/Bearish Engulfing
Bullish/Bearish 3 Line Strike
Alerts for each pattern when Stochastic conditions are met.
⚠️ Note: This is a technical analysis tool. It does not guarantee accuracy and is not financial advice. Always combine with other analysis methods and practice proper risk management.
🛠 How to Use:
1. SMMA Settings
21 SMMA & 50 SMMA: Short- and medium-term trend tracking.
100 SMMA: Optional mid/long-term filter (toggle on/off).
200 SMMA: Major trend direction reference.
2. Trend Fill
EMA(2) > SMMA(200): Background shaded green (uptrend bias).
EMA(2) < SMMA(200): Background shaded red (downtrend bias).
Can be enabled/disabled in settings.
3. Stochastic Filter
K Length, D Smoothing, Smooth K: Adjust sensitivity.
Overbought & Oversold: Default 80 / 20 thresholds.
Buy signals only valid if Stochastic is oversold.
Sell signals only valid if Stochastic is overbought.
4. Candlestick Patterns
3 Line Strike:
Bullish: Three consecutive bullish candles followed by one bearish candle closing below the previous, with potential reversal.
Bearish: Three consecutive bearish candles followed by one bullish candle closing above the previous, with potential reversal.
Engulfing:
Bullish: Green candle fully engulfs the prior red candle body.
Bearish: Red candle fully engulfs the prior green candle body.
5. Alerts
Alerts available for each pattern when Stochastic conditions are met.
Example: "Bullish Engulfing + Stochastic confirm".
📌 Important Notes
Do not use this indicator as the sole basis for trading decisions.
Test on a demo account before applying to live trades.
Combine with multi-timeframe analysis, volume, and proper position sizing.
Buy/Sell Alert Strong Signals [TCMaster]This indicator combines Smoothed Moving Averages (SMMA), Stochastic Oscillator, and popular candlestick patterns (Engulfing, 3 Line Strike) to highlight potential trend reversal zones.
Main features:
4 SMMA lines (21, 50, 100, 200) for short-, medium-, and long-term trend analysis.
Trend Fill: Background shading when EMA(2) and SMMA(200) are aligned, visually confirming trend direction.
Stochastic Filter: Filters signals based on overbought/oversold conditions to help reduce noise.
Candlestick pattern recognition:
Bullish/Bearish Engulfing
Bullish/Bearish 3 Line Strike
Alerts for each pattern when Stochastic conditions are met.
⚠️ Note: This is a technical analysis tool. It does not guarantee accuracy and is not financial advice. Always combine with other analysis methods and practice proper risk management.
🛠 How to Use:
1. SMMA Settings
21 SMMA & 50 SMMA: Short- and medium-term trend tracking.
100 SMMA: Optional mid/long-term filter (toggle on/off).
200 SMMA: Major trend direction reference.
2. Trend Fill
EMA(2) > SMMA(200): Background shaded green (uptrend bias).
EMA(2) < SMMA(200): Background shaded red (downtrend bias).
Can be enabled/disabled in settings.
3. Stochastic Filter
K Length, D Smoothing, Smooth K: Adjust sensitivity.
Overbought & Oversold: Default 80 / 20 thresholds.
Buy signals only valid if Stochastic is oversold.
Sell signals only valid if Stochastic is overbought.
4. Candlestick Patterns
3 Line Strike:
Bullish: Three consecutive bullish candles followed by one bearish candle closing below the previous, with potential reversal.
Bearish: Three consecutive bearish candles followed by one bullish candle closing above the previous, with potential reversal.
Engulfing:
Bullish: Green candle fully engulfs the prior red candle body.
Bearish: Red candle fully engulfs the prior green candle body.
5. Alerts
Alerts available for each pattern when Stochastic conditions are met.
Example: "Bullish Engulfing + Stochastic confirm".
📌 Important Notes
Do not use this indicator as the sole basis for trading decisions.
Test on a demo account before applying to live trades.
Combine with multi-timeframe analysis, volume, and proper position sizing.
Mucip AL BUY indicator V2/ Mucip AL indikatörüThis indicator is an updated version of version 1 with some filters.
KDJ - CakeProfitsKDJ Indicator
The KDJ is an enhanced version of the traditional Stochastic Oscillator, adding a third line (J) to measure momentum extremes. It uses the K and D lines from the Stochastic, with the J line calculated to amplify overbought and oversold signals.
K Line – Fast-moving measure of current momentum.
D Line – Smoothed version of K, used for signal confirmation.
J Line – Projects potential extremes by extending the distance between K and D.
How to Use:
Overbought: J above 100 may indicate price is extended.
Oversold: J below 0 may signal price is undervalued.
Crossovers: Bullish when K crosses above D, bearish when K crosses below D.
The KDJ is popular among swing and momentum traders for spotting early reversals, confirming trends, and filtering trades in ranging markets.
4H RSI + EMA (Fib optional) with 3:1 R:R + Hybrid ExitAs above.
RSI + 50 EMA & 200MA
3:1 R:R
Exit based on RSI extreme or 200MA Opposition or 3:1 R:R
RSI (14) with Auto Zone Colors — Overbought/Oversold HighlighterThis indicator plots the Relative Strength Index (RSI 14) with dynamic color changes for instant visual clarity:
✅ Green line in overbought zone (≥70)
✅ Red line in oversold zone (≤30)
✅ White line in neutral range (30–70)
Includes reference lines at 70, 50, and 30 for quick decision-making. Perfect for spotting momentum extremes, divergences, and potential reversal points without squinting at numbers. Works on any timeframe.
Global Bond Yields Monitor [MarktQuant]Global Bond Yields Monitor
The Global Bond Yields Monitor is designed to help users track and compare government bond yields across major economies. It provides an at-a-glance view of short- and long-term interest rates for multiple countries, enabling users to observe shifts in global fixed-income markets.
Key Features:
Multi-Country Coverage: Includes major advanced and emerging economies such as the United States, China, Japan, Germany, United Kingdom, Canada, Australia, and more.
Multiple Maturities: Displays yields for the 2-year, 5-year, 10-year, and 30-year maturities (20-year for Russia).
Dynamic Yield Data: Plots real-time yields for the selected country directly from TradingView’s data sources.
Weekly Change Tracking: Calculates and displays the yield change from one week ago ( ) for each maturity.
Table Visualization: Option to display a compact data table showing current yields and weekly changes, color-coded for easier interpretation.
Visual Yield Curve Comparison: Plots yield lines for short- and long-term maturities, with shaded areas between curves for visual clarity.
Customizable Display: Choose table placement and whether to show or hide the weekly change table.
Use Cases
This script is intended for analysts, traders, and investors who want to monitor shifts in sovereign bond markets. Changes in yields can reflect adjustments in monetary policy expectations, inflation outlook, or broader macroeconomic trends.
❗Important Note❗
This indicator is for market monitoring and educational purposes only. It does not generate trading signals, and it should not be interpreted as financial advice. All data is sourced from TradingView’s available market feeds, and accuracy may depend on the source data.
RSI/Stoch RSI ComboIt shows both rsi and stoch rsi as one indicator. You need to select which one using checkbox.
