Trend Engine Pro (E+X+C)Trend Engine Pro (E+X+C)
Short Description
Trend Engine Pro is an institutional-grade trend system that combines early trend entries (E), smart exits on momentum exhaustion (X), and confirmed reversals (C).
Built with volatility-normalized momentum and state-machine logic, it helps traders enter trends early, manage risk efficiently, and avoid noise across all timeframes.
Key Signals
E (Early Entry): Enter trends when momentum and structure align
X (Exit): Exit on momentum exhaustion before trend breakdown
C (Confirmed): Confirm real trend reversals with persistence
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument.
Trading involves risk, and past performance is not indicative of future results.
Always test strategies thoroughly and manage risk appropriately.
No repaint.
Works on all timeframes and assets.
Volatilitas
MoBo Bands - Momentum Breakout IndicatorDESCRIPTION
MoBo Bands (Momentum Breakout Bands) is a volatility-based breakout detection indicator that helps traders identify potential momentum shifts in the market. The indicator uses dynamic bands calculated from standard deviation to signal when price breaks above or below established ranges, indicating potential bullish or bearish momentum changes.
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KEY FEATURES
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- Dynamic upper and lower bands based on standard deviation
- Color-coded bands that change based on breakout direction (green for bullish, red for bearish)
- Visual breakout arrows marking entry points above/below bands
- Optional colored fill zones between bands showing current momentum state
- Customizable displacement for band projection
- Built-in alert system for breakout and breakdown signals
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HOW IT WORKS
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The indicator calculates a middle line using a Simple Moving Average (SMA) with upper and lower bands positioned using standard deviation multipliers. When price closes above the upper band, a bullish breakout (green) is signaled. When price closes below the lower band, a bearish breakdown (red) is signaled. The bands and fill zones remain colored until the opposite signal occurs, providing clear visual confirmation of the current momentum state.
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CUSTOMIZABLE INPUTS
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CALCULATION PARAMETERS:
- Price Source - Select which price data to use (default: close)
- Length - Period for SMA and standard deviation calculation (default: 10)
- Num Dev Up - Standard deviation multiplier for upper band (default: 0.8)
- Num Dev Down - Standard deviation multiplier for lower band (default: -0.8)
- Displace - Shift bands forward for projection analysis (default: 0)
DISPLAY OPTIONS:
- Colored Mobo - Enable/disable color-coded bands
- Colored Fill - Enable/disable fill zones between bands
- Break Arrows - Show/hide breakout and breakdown arrows
ALERT OPTIONS:
- Show Alerts - Enable/disable alert conditions
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USAGE GUIDE
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Watch for price to close outside the bands as potential breakout signals:
BULLISH BREAKOUT: Green arrow appears below the lower band when price closes above the upper band, indicating upward momentum shift.
BEARISH BREAKDOWN: Red arrow appears above the upper band when price closes below the lower band, indicating downward momentum shift.
The bands also serve as dynamic support and resistance levels. When bands are green, momentum is bullish. When bands are red, momentum is bearish.
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BEST PRACTICES
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- This indicator works well on liquid futures contracts (MNQ, MES, MYM, MGC, MCL) and major
currency pairs across multiple timeframes
- Lower deviation values (0.5-1.0) produce more frequent signals suitable for scalping
- Higher deviation values (1.5-2.5) filter for stronger breakouts ideal for swing trading
- Combine with volume indicators for additional confirmation
- Use with momentum oscillators to validate breakout strength
- Best results in trending market conditions
- Consider the overall market context and trend direction
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ALERT CONFIGURATION
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Configure custom alerts for automated notifications:
- "MoBo BreakOUT" - Triggers on bullish breakout signals
- "MoBo BreakDOWN" - Triggers on bearish breakdown signals
Set alerts to "Once Per Bar Close" for confirmed signals and avoid false triggers during bar development.
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IDEAL FOR
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- Day traders and scalpers on futures markets
- Swing traders looking for momentum shifts
- Breakout trading strategies
- Trend following systems
- Works on stocks, forex, crypto, and commodities
- Effective across multiple timeframes (1min to daily)
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Perfect for traders seeking clear visual breakout signals with minimal lag. The color-coded system and arrow markers make it easy to identify momentum changes at a glance.
ยฉ 2024 NPR21 | Mozilla Public License 2.0
Open-source script
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
Asia & London Session High / Low (CT) BY Grid & Grit ChartingThis indicator draws Asia and London session highs/lows in Central Time (CT) and optionally shades each session with a box, so you can see where overnight liquidity was built and then carried forward into NY. In the settings, you can toggle Show Asia Session and Show London Session to enable/disable each sessionโs tracking and plotting entirely. For each session you can customize the High/Low line colors (Asia High Color / Asia Low Color, London High Color / London Low Color), the line width (Asia Line Width, London Line Width), and the line style (Solid/Dashed/Dotted) so you can visually prioritize London over Asia if you want. The session times are adjustable via Asia Session (CT) (default 6:00 PMโ2:00 AM CT) and London Session (CT) (default 2:00 AMโ8:00 AM CT). The Show Session Boxes toggle controls whether a translucent box is drawn only during each active session; box appearance is controlled by Asia Box Color and London Box Color (these colors already include opacity, so you can make them faint or more visible). The Show Labels toggle controls whether โAsia H/Lโ and โLondon H/Lโ labels are printed at session end; label text color is controlled by Label Text Color. Mechanically: during each session the script continuously updates that sessionโs running high/low; when the session ends, it draws fresh horizontal lines that extend to the right (carry forward) and it deletes the prior sessionโs lines/labels to prevent clutter, while boxes stop at the session end so NY stays clean.
VWATR Stop-Loss BandsPurpose
The script provides an adaptive stopโloss framework built from VWATR, it anchors protective levels to price extremes and scales them with both volatility and volume. The objective is to create stopโloss zones that reflect real market intensity rather than arbitrary fixed distances.
How it works
The script computes true range, multiplies it by volume, and smooths both the volumeโweighted range and raw volume using the selected moving average, their ratio forms VWATR, a volatility measure normalized by traded volume. It then calculates the standard deviation of VWATR to capture volatilityโofโvolatility. Stopโloss levels are constructed by offsetting the low and high by one VWATR, with additional layers created by adding or subtracting one to five standard deviations. The plots use strong colors for core levels and progressively lighter tones for outer layers, establishing a clear visual hierarchy.
Rationale
This structure gives the trader stopโloss levels that adapt to changing market conditions, expanding during highโenergy phases and contracting during quiet periods, which reduces premature stopโouts and aligns risk with actual volatility. The standard deviation layers provide a graded map of volatility stress, allowing the user to assess how far price must travel to breach increasingly extreme thresholds. The result is a stopโloss system that is both reactive and contextโaware, offering more informed decisionโmaking than static offsets.
VAM Pro (Multi-Model) [Final]Volatility Adjusted Momentum (VAM) Pro+ is a professional quantitative tool designed to measure trend strength by normalizing momentum against market volatility. Standard momentum indicators often fail during high-volatility periods because they treat every price change the same regardless of market noise. This indicator solves that problem by scaling price changes based on their statistical significance using Z-Score logic. This Pro+ version is specifically optimized for Scalping and Intraday Trading by introducing advanced volatility estimators and mathematical horizon adjustments that superior to classic standard deviation models.
The indicator allows you to choose the most suitable volatility model for your specific asset class. The Parkinson Volatility model is highly recommended for Crypto markets because it uses the High-Low range instead of just close prices, effectively capturing intraday wicks and liquidation spikes that standard deviation often misses. For Equities and Forex, the Garman-Klass model is the most efficient choice as it utilizes the full Open-High-Low-Close data set to account for opening gaps and professional trading ranges.
The mathematical core of the script features a strict Horizon Adjustment based on the Square Root of Time rule. This aligns the one-bar volatility risk with your chosen momentum lookback period to ensure a mathematically consistent calculation. By default, the script uses Logarithmic Returns to maintain scale invariance, which is critical for assets with high percentage swings like Cryptocurrencies. To trade with VAM Pro, look for the histogram color and its relation to the Zero line. A Green histogram indicates positive volatility-adjusted momentum where bulls are dominant, while a Red histogram shows bearish dominance. Values reaching the +2.0 or -2.0 Sigma levels represent statistically extreme moves that often act as exhaustion points or precede strong mean-reversion opportunities. When the histogram crosses the yellow signal line, it provides an early warning that the current momentum is fading.
Investment involves risk. The Volatility Adjusted Momentum (VAM) Pro+ is an analytical tool and does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Past performance is not indicative of future results. Market conditions can change rapidly, and technical indicators may produce false signals. Always perform your own due diligence, use proper risk management, and consult with a certified financial advisor before making any trading decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
Options Liquidity Meter (OLM)โ The question behind this indicator
When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated.
This typically happens when one or more of the following conditions is missing:
Insufficient liquidity participation
Lack of volatility expansion
Weak or passive order flow
Options Liquidity Meter (OLM) was created to address this specific question:
โIf price moves from here, are there conditions for option premiums to actually expand?โ
๐ฏ What this indicator does
Options Liquidity Meter is a context tool, not a trading system.
It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines:
Liquidity (Relative Volume)
Measures whether price movement is supported by meaningful participation.
Volatility State
Identifies compression, release, and expansion phases, where options tend to respond differently.
Order Flow Activity (OBV-based)
Acts as a proxy for active vs. passive participation, helping filter hollow moves.
These components are combined into a single, easy-to-read options context.
๐ข๐ก๐ด Options Context Output
The indicator displays one consolidated state:
RED โ NO EXPANSION
Price may move, but option premiums often do not respond.
YELLOW โ BUILDING
Liquidity or volatility is developing. Conditions are improving but not fully aligned.
GREEN โ EXPANSION LIKELY
Liquidity, volatility expansion, and active flow are aligned.
This is a favorable environment for option premium expansion.
The same logic is reflected visually through the background color and summarized in the dashboard.
๐ How to read the dashboard
The dashboard shows:
Liquidity: LOW / OK / HIGH
Volatility: COMPRESSED / RELEASED / EXPANDING
Order Flow: FLAT / ACTIVE
Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY
Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational.
๐ Where to apply this indicator
Options Liquidity Meter must be applied to the underlying asset chart, such as:
Indices (SPY, SPX, QQQ, etc.)
Stocks
Futures
ETFs
It is not designed to be applied to option contracts themselves.
The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior.
Contract selection (strike, delta, gamma, expiration) remains the traderโs responsibility.
๐ง How to use it
Use your own methodology to define:
Direction
Structure
Entries and exits
Use Options Liquidity Meter to evaluate:
Whether the current environment supports option premium expansion
If the context is RED, be cautious โ price may move without rewarding options.
If the context is GREEN, the environment is statistically more favorable for options responsiveness.
๐ Complementary tools
Options Liquidity Meter is designed to complement, not replace, other tools.
It works well alongside:
Opening Path Selector (EMA200 Context Tool)
For deciding which asset offers the cleanest directional context.
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels
For in-chart structure, bias, and reference levels.
Each tool addresses a different stage of the decision process and can be used independently.
โ ๏ธ Important notes
This indicator provides context only
It does not generate trading signals
No indicator guarantees results
Use at your own risk.
SNIPER Trend Continuation V1TC SNIPER (Trend Continuation)
### When to Use
- Market is **OUT OF BALANCE** (trending, momentum)
- Clear **displacement** away from prior value
- **New York session** (AVOID London open fakeouts!)
- Strong directional moves with follow-through
### The Setup Sequence
```
1. IMPULSE DETECTED
โโโ Strong directional move (2ร ATR+)
โโโ Multiple momentum bars
โโโ Price above/below fast EMA
2. LVN ZONE IDENTIFIED
โโโ 23.6% - 61.8% Fibonacci retracement
โโโ Low volume pullback area
3. PRICE PULLS BACK TO LVN
โโโ Retraces into the zone
โโโ Volume decreases (exhaustion)
4. AGGRESSION CONFIRMATION
โโโ Entry candle in trend direction
โโโ Volume spikes (1.3ร+ average)
โโโ Fat body, minimal adverse wick
โโโ EMA alignment confirms trend
5. ENTRY โ TARGET: PREV POC
```
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion)
### When to Use
- Market is **IN BALANCE** (ranging, consolidating)
- Price **breaks out but FAILS** to hold
- **London session** or compressed summer conditions
- Failed breakouts returning to value
### The Setup Sequence
```
1. BALANCE DETECTED
โโโ Price rotating around POC
2. BREAKOUT ATTEMPT
โโโ Price pushes beyond Value Area
3. FAILURE + RECLAIM โ KEY MOMENT
โโโ Price comes BACK inside balance
โโโ DO NOT trade first move back!
4. PULLBACK INTO LVN
โโโ Wait for pullback after reclaim
5. AGGRESSION CONFIRMATION
โโโ Entry candle shows buy/sell pressure
โโโ Volume elevated (1.2ร+ average)
โโโ Fat body (60%+ of range)
6. ENTRY โ TARGET: POC
```
### Signal Labels
- **MRโ** = Mean Reversion Long (failed breakdown)
- **MRโ** = Mean Reversion Short (failed breakout)
- **S/A/B** = Signal quality tier
### Risk Management
- **Stop**: Below recent low (long) / Above recent high (short)
- **Target**: POC (center of value)
- **Risk**: 0.25-0.5% per trade
Volatility Squeeze + EMA Trend Filter [Day Trading]Identify explosive breakouts before they happen. This indicator detects low-volatility consolidations (squeezes) that precede powerful price moves, filtered by trend direction for higher-probability signals.
โ FEATURES
- Squeeze detection using Bollinger Bands inside Keltner Channels
- Momentum histogram visualization in dashboard
- 200 EMA trend filter (toggleable) - longs above, shorts below
- Trading hours filter with timezone support
- Buy/sell signals on chart with customizable size
- 5 visual themes (Nebula Core, Aurora Borealis, Ice Giant, Solar Flare, Supernova)
- Real-time dashboard with squeeze state, momentum, and signal bias
โ HOW IT WORKS
1. Bollinger Bands compress inside Keltner Channels = "Squeeze" (consolidation)
2. Squeeze releases = imminent breakout
3. Momentum direction determines trade direction
4. 200 EMA filter ensures you trade with the trend
5. Session filter keeps you in optimal trading hours
โ SIGNAL LOGIC
BUY: Momentum crosses above zero OR squeeze releases with rising positive momentum + price above 200 EMA
SELL: Momentum crosses below zero OR squeeze releases with falling negative momentum + price below 200 EMA
โ RECOMMENDED USE
- Best timeframes: 5-minute, 15-minute for day trading
- Best instruments: NQ, MNQ, ES, MES, SPY, QQQ
- Best session: 9:30 AM - 11:00 AM ET (morning momentum)
- Works on any market with sufficient volatility
โ INPUTS
- BB/KC Length and Multipliers (default: 20/2.0 and 20/1.5)
- 200 EMA trend filter toggle
- Trading session hours and timezone
- Signal size and visual theme selection
Based on John Carter's TTM Squeeze concept.
DM for access.
Positive Volatility Ratio (Vol+ / Vol-)
Positive Volatility Ratio (Vol+ / Vol-)
This indicator measures whether an assetโs volatility is driven mainly
by upward or downward price movements over a given time window.
How it works:
- Daily returns are calculated.
- Positive and negative returns are separated.
- The standard deviation of each group is computed.
- The Vol+ / Vol- ratio compares how much volatility comes from
upward moves versus downward moves.
Interpretation:
- Ratio > 1 โ volatility dominated by upside moves (cleaner momentum).
- Ratio โ 1 โ symmetric movement / noise.
- Ratio < 1 โ volatility dominated by downside moves (not ideal for momentum).
Recommended use:
- Use as a pre-filter for the trading universe.
- Do not use as an entry or exit signal.
- Always combine with trend and liquidity filters.
Notes:
- This is not a standard or predictive indicator.
- It does not replace risk management or stop-loss rules.
- Longer lookback windows (60โ120 days) tend to be more robust.
*/
Cerber Market Regime Indicator๐ CERBER MARKET REGIME INDICATOR
A versatile momentum indicator that helps identify market regimes using Rate of Change (ROC) analysis. Designed for visualizing momentum extremes and mean-reversion zones.
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๐ง TWO MODES:
โธ Fixed Mode (Default)
Uses percentage-based ROC thresholds. Simple and intuitive - when momentum exceeds +10% or drops below -10%, the indicator signals extreme conditions.
โธ Z-Score Mode
Normalizes ROC using statistical z-score, automatically adapting to each asset's volatility. A reading of +1ฯ or -1ฯ represents one standard deviation from the mean, making thresholds consistent across different assets.
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โ๏ธ KEY SETTINGS:
โข ROC Lookback: Period for calculating rate of change (default: 30 bars)
โข Z-Score Window: Rolling window for mean/std calculation (default: 60 bars)
โข Top/Bottom Thresholds: Configurable levels for regime identification
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๐ VISUAL ELEMENTS:
โข Green line: Momentum above top threshold (bullish extreme)
โข Red line: Momentum below bottom threshold (bearish extreme)
โข Gray line: Neutral zone between thresholds
โข Dashed lines: Threshold levels
โข Shaded zone: Neutral trading range
โข Info table: Current mode, settings, and live values
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๐ก USE CASES:
โข Identify overbought/oversold conditions
โข Spot mean-reversion opportunities
โข Gauge momentum regime for trend strategies
โข Compare momentum across different assets (Z-Score mode)
โข Visualize market extremes for discretionary analysis
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โ ๏ธ DISCLAIMER:
This indicator is for visualization and educational purposes only. It does not generate trading signals and should not be used as the sole basis for trading decisions. Always conduct your own research and use proper risk management.
HLRSIโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
HLRSI - High-Low RSI
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
## Overview
HLRSI (High-Low RSI) is a dynamic RSI indicator that automatically switches between High RSI and Low RSI based on market conditions. This allows traders to focus on the most relevant momentum โ bullish momentum in uptrends and bearish momentum in downtrends.
## How It Works
- When HL2 RSI is above its Bollinger Band middle line โ displays High RSI (based on candle highs)
- When HL2 RSI is below its Bollinger Band middle line โ displays Low RSI (based on candle lows)
This adaptive approach provides clearer signals compared to traditional RSI, which uses only closing prices.
## Components
1. **RSI Line (Purple)**: The adaptive High-Low RSI
2. **RSI HMA (Yellow)**: Hull Moving Average of RSI - acts as a trend filter, similar to MACD signal line
3. **Bollinger Bands (Green)**: Dynamic overbought/oversold boundaries that adapt to volatility
## How to Use
### Trend Identification
- RSI above HMA โ Bullish momentum
- RSI below HMA โ Bearish momentum
- RSI crossing HMA โ Potential trend change
### Entry Signals
- **Long**: RSI crosses above HMA near oversold zone or lower Bollinger Band
- **Short**: RSI crosses below HMA near overbought zone or upper Bollinger Band
### Overbought/Oversold
- RSI touching upper Bollinger Band โ Overbought (potential reversal or pullback)
- RSI touching lower Bollinger Band โ Oversold (potential reversal or bounce)
## Parameters
- **RSI Length** (default: 50): Period for RSI calculation
- **HMA Length** (default: 200): Period for trend-filtering HMA
- **BB Length** (default: 200): Period for Bollinger Bands
- **BB Multiplier** (default: 2.8): Standard deviation multiplier
## Tips
- Combine with price action or other indicators for confirmation
- Adjust BB Multiplier to control sensitivity (lower = more signals, higher = fewer but stronger signals)
SCR Signals(๊ฐ์) ์คํ ์บ์คํฑ, CCI, RSI๋ฅผ ๊ฒฐํฉํ ์งํ์
๋๋ค. ํธ์์ SCR์ด๋ผ๊ณ ๋ช
๋ช
ํ ๊ฒ์
* ๋ธ๋ก๊ฑฐ 'SOXL์ฐ๊ตฌ์๋์ SCR์ ์งํํํ์ต๋๋ค.
(์งํ์ค๋ช
)
1. ์คํ ์บ์คํฑ์ %K๊ธธ์ด, %K์ค๋ฌด๋ฉ, %D์ค๋ฌด๋ฉ์ด ๊ฐ๊ฐ 5,1,3 ์ด ๊ธฐ๋ณธ์
๋๋ค. ์ดํผ๋ฐด๋(๊ณผ๋งค์)๋ 80, ๋ก์ฐ์ด๋ฐด๋(๊ณผ๋งค๋)๋ 20์ด๋ฉฐ ์ค์ ํด์ ์์ ๊ฐ๋ฅํฉ๋๋ค.
2. CCI๋ ๊ธธ์ด 20์ด ๊ธฐ๋ณธ์
๋๋ค. ์ดํผ๋ฐด๋(๊ณผ๋งค์)๋ 100, ๋ก์ฐ์ด๋ฐด๋(๊ณผ๋งค๋)๋ -100์ด๋ฉฐ ์ญ์ ์ค์ ์์ ๋ณ๊ฒฝ๊ฐ๋ฅํฉ๋๋ค.
3. RSI ๊ธธ์ด 14๊ฐ ๊ธฐ๋ณธ์
๋๋ค. ์ดํผ๋ฐด๋(๊ณผ๋งค์)๋ 70, ๋ก์ฐ์ด๋ฐด๋(๊ณผ๋งค๋)๋ 30์ด๋ฉฐ ์ญ์ ์ค์ ์์ ๋ณ๊ฒฝ๊ฐ๋ฅํฉ๋๋ค.
(์๊ทธ๋)
์ธ๊ฐ ์งํ ์ค 1๊ฐ์งํ๊ฐ ๋์์ ๊ณผ๋งค์ ํด์๋๋ ์๊ฐ S1, 2๊ฐ์งํ๊ฐ ๋์์ ๊ณผ๋งค์ ํด์๋๋ ์๊ฐ S2, 3๊ฐ์งํ ๋์์ ๊ณผ๋งค์ ํด์์ S3๋ก ํ๊ณ ์บ๋ค ์์ชฝ์ ํ์ / ์ธ๊ฐ ์งํ ์ค 1๊ฐ์งํ๊ฐ ๊ณผ๋งค๋ ์ง์
์ B1, 2๊ฐ์งํ๊ฐ ๋์์ ๊ณผ๋งค๋ ์ง์
์ B2, 3๊ฐ์งํ๊ฐ ๋์์ ๊ณผ๋งค๋ ์ง์
์ B3๋ก ํ๊ณ ์บ๋ค ์๋์ชฝ์ ํ์
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 โSOXL Researcherโ (SOXL์ฐ๊ตฌ์).
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) โ 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) โ 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
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
๐ Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
๐ How to Use This Strategy
๐ข LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
๐ด SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
๐ก Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
๐ Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
โ ๏ธ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Ghost Scalp Protocol By [@Ash_TheTrader]๐ป GHOST SCALP PROTOCOL
๐ Stop Getting Trapped. Start Tracking the Banks.
Most retail traders lose because they enter exactly where institutions are exiting. They get caught in "Stop Hunts" and "Fake-Outs."
The Ghost Scalp Protocol is not just an indicator; it is a complete institutional trading system designed for M1 & M5 Scalpers . It combines Smart Money Concepts (SMC) with a Physics-Based Momentum Engine (p=mv) to detect high-probability reversals.
โ๏ธ THE LOGIC: 3-STAGE CONFIRMATION
This algorithm does not rely on lagging indicators. It uses a 3-step "Protocol" to validate every trade:
1. THE GHOST TRAP (Liquidity Sweeps)
The script automatically draws "Ghost Lines" at key Swing Highs/Lows where retail Stop Losses are hiding. It waits for price to sweep these levels.
The Signal: A Neon Skull (โ ๏ธ) appears only if price aggressively rejects the level with high volume. This is the "Turtle Soup" pattern.
2. THE PHYSICS ENGINE (p = mv)
Momentum is not just price speed; it is Mass (Volume) x Velocity (Range) . The dashboard calculates the "Force" of every candle.
The Signal: An Arrow (โฌ/โฌ) appears when momentum surges 5x above the average. This confirms the banks are pushing the move.
3. BANK BIAS (Elasticity Filter)
Markets move like a rubber band. The script calculates a hidden "Fair Value" baseline to create a trading Bias. It only looks for Shorts in PREMIUM (Shorting) zones and Longs in DISCOUNT (Accumulating) zones.
๐ THE SMART DASHBOARD (HUD)
A futuristic, non-intrusive Heads-Up Display keeps you focused on the data that matters:
โข ๐ฆ BANK BIAS: Tells you if Institutions are likely Accumulating or Shorting .
โข ๐ HTF TREND: Automatically checks the 1-Hour Trend . Don't fight the tide.
โข ๐ MOMENTUM: Real-time Physics calculation. Green Text = Acceleration, Red Text = Deceleration.
โข ๐ SESSION: Shows active Bank Sessions (Tokyo, London, NY). It flashes โ ๏ธ OVERLAP ALERT (Gold) when London & New York are open simultaneously.
๐ฅ STRATEGY: HOW TO TRADE
Use this checklist to execute high-probability scalps:
๐ SHORT SETUP (SELL)
1. Liquidity: Wait for price to break above a Red Ghost Line (Sweep Highs).
2. Signal: Wait for the Pink Skull โ ๏ธ (Trap Detected).
3. Confluence: Dashboard Bias says "SHORTING" and HTF Trend is "BEARISH."
4. Entry: On the Close of the Skull candle.
5. Stop Loss: Just above the wick swing high.
๐ LONG SETUP (BUY)
1. Liquidity: Wait for price to break below a Blue Ghost Line (Sweep Lows).
2. Signal: Wait for the Blue Skull โ ๏ธ (Trap Detected).
3. Confluence: Dashboard Bias says "ACCUMULATING" and HTF Trend is "BULLISH."
4. Entry: On the Close of the Skull candle.
5. Stop Loss: Just below the wick swing low.
๐ RECOMMENDED PAIRS & TIMEFRAMES
โข โก Best Timeframes: M1 (Sniper) and M5 (Standard Scalping).
โข ๐ Best Assets: Gold (XAUUSD), Nasdaq (US100), Bitcoin (BTCUSD), and Volatile Forex Pairs (GBPUSD).
๐ ๏ธ SETTINGS & CUSTOMIZATION
โข Surge Factor: Default is 5.0x for high-conviction signals. Lower to 3.0 for more frequency.
โข Smart Sessions: Automatically converts to New York Time (EST) regardless of your location.
โข Visuals: Designed with "Ghost Glow" technologyโ97% transparent backgrounds that look classy and don't clutter your chart.
"The Ghost Algo sees what you can't."
~ Ash_TheTrader
Cerber - Alts (Z-Score)๐บ CERBER ALTS (Z-SCORE)
Momentum-based strategy using Z-Score normalized Rate of Change for big-cap altcoins.
โโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ CONCEPT
โโโโโโโโโโโโโโโโโโโโโโโ
This strategy identifies momentum opportunities by normalizing the Rate of Change (ROC) into a Z-Score. Unlike fixed percentage thresholds, Z-Score adapts to each asset's unique volatility regime, making it ideal for altcoins with varying price dynamics.
Entries occur when momentum surges beyond 1.5 standard deviations from the mean โ capturing explosive moves while filtering out noise.
โโโโโโโโโโโโโโโโโโโโโโโ
โ๏ธ SETTINGS
โโโโโโโโโโโโโโโโโโโโโโโ
โข ROC Lookback: 30 days (momentum measurement window)
โข Z-Score Window: 60 days (volatility normalization period)
โข Entry Threshold: 1.5ฯ (enter on strong momentum)
โข Exit Threshold: 0.0ฯ (exit when momentum normalizes)
โข DEMA Filter: Weekly 21 DEMA trend filter (optional)
โโโโโโโโโโโโโโโโโโโโโโโ
๐ MODES
โโโโโโโโโโโโโโโโโโโโโโโ
1๏ธโฃ Z-Score Mode (Default)
Adaptive thresholds based on volatility โ recommended for altcoins
2๏ธโฃ Fixed Mode
Traditional percentage-based ROC thresholds
โโโโโโโโโโโโโโโโโโโโโโโ
๐จ DISPLAY FEATURES
โโโโโโโโโโโโโโโโโโโโโโโ
โข Z-Score / ROC oscillator with dynamic coloring
โข Entry & exit threshold lines with neutral zone fill
โข Position background highlighting
โข Info table with current settings
โโโโโโโโโโโโโโโโโโโโโโโ
โ
BEST SUITED FOR
โโโโโโโโโโโโโโโโโโโโโโโ
โข Big-cap altcoins: SOL, ETH, AVAX, MATIC, FTM, LINK, HBAR, UNI etc.
โข Daily timeframe
โข Trending market conditions
โข Spot or low-leverage positions
โ ๏ธ Risk Disclaimer: This strategy is for educational purposes. Always use proper risk management and backtest on your specific asset before trading.
Pro Traders Group๐ฅ Free Trading Indicator & Strategy on TradingView
By www.pro-traders-group.com
If youโre looking for a clear, professional, and rule-based trading strategy built on the logic of institutions and market makers, this is exactly what you need ๐
๐ This strategy is based on:
โ๏ธ Professional Japanese candlestick analysis
โ๏ธ Accurate market trend identification
โ๏ธ Buying and selling from institutional & smart money zones
โ๏ธ Filtering weak signals and focusing only on high-probability setups
โ๏ธ Clear and precise entry & exit rules
๐ Win Rate:
โก๏ธ Up to 95% when fully following the rules and conditions
(No impulsive entries โ No counter-trend trades โ No overtrading)
๐ฏ Suitable for:
โ
Beginners looking for a simple and structured trading system
โ
Advanced traders using Smart Money Concepts
โ
Forex โ Gold โ Indices โ Crypto
๐ก Indicator & strategy are 100% FREE
But real success comes from:
โ๏ธ Discipline
โ๏ธ Proper risk management
โ๏ธ Psychological control
๐ Presented by:
๐ www.pro-traders-group.com
Experts in trading education and institutional-based market strategies
๐ Test the strategy, follow the rules, and experience the difference for yourself.
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.
๐ถ 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
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
๐ถ 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.
ATRlvlThe indicator shows the filtered ATR, and you can specify the level price and see how the instrument behaves relative to the level, taking into account the ATR.
Algomist.app v1.0๐ WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION
This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters.
โ๏ธ Core Strategy Logic
This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators:
Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction.
Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume.
Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade.
๐ Algomist.app Automation Ready
This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure.
Seamless Execution: The strategy instantly transmits all required parametersโsymbol, side, entry_price, dynamic stop_loss, and dynamic take_profitโdirectly to your MT5 terminal through the algomist.app connector.
Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close.
Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings.
๐ก๏ธ Dynamic Risk Management (ATR-Based)
Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility:
Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR.
Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0).
Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform.
Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Bollinger BandWidth (Session-Adjusted)Description
This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET โ 8.5 hours) or individual stocks.
Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours.
Key Features
Session-Adjusted Bollinger Bands:
The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets.
Bollinger BandWidth (BBW) as Percentage:
Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility).
Dynamic Expansion and Contraction Levels:
Red line: Highest BBW over the selected expansion lookback period (default 25 days) โ highlights peak volatility levels.
Green line: Lowest BBW over the selected contraction lookback period (default 25 days) โ highlights extreme squeezes (low volatility).
Fully customizable inputs for session hours, BB parameters, and dynamic level periods.
How It Works
Session Adjustment: Input session duration (default 8.5 hours).
The script calculates approximate candles per trading day for your current chart timeframe.
Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data.
BBW Calculation:
Basis: Simple Moving Average (SMA).
Deviation: Multiplier ร Standard Deviation.
BBW = (2 ร Deviation / Basis) ร 100.
Dynamic Lines:
Expansion line uses the same session-adjusted period for highest BBW.
Contraction line uses the lowest BBW.
Usage and Trading Ideas
Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") โ periods of low volatility often followed by strong breakouts. High BBW values indicate expansion โ trending or volatile phases that may exhaust and lead to consolidation.
Squeeze Setup:
Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities.
Expansion Confirmation:
BBW rising above the dynamic high (red) line suggests strong volatility โ useful for trend-following or avoiding counter-trend trades.
Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias.
Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading.
This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions.
Enjoy the script โ feedback welcome!
HoneG_Mid-Term Tick Counter-Trend v4HoneG_Mid-Term Tick Counter-Trend v4
This is a counter-trend signal tool for binary options.
Place it on a 1-minute or 5-minute chart.
Most of the time, a preliminary alert like โHigh - Readyโ (โLow - Readyโ) will appear, but do not enter at this point.
When the entry conditions are met, you will receive an entry alert with the following text:
โHigh - Mid-Term Tick Entryโ (โLow - Mid-Term Tick Entryโ)
Enter immediately upon receiving the entry alert.
At this time, either โฒ or โผ will appear on the chart, though it may occasionally disappear mid-alert.
Even if โฒ or โผ vanishes, proceed with the entry if the alert log and chart pattern indicate it's viable.
Recommended entry duration is mid-term high/low, meaning 4 to 9 minutes.
For cryptocurrencies, use 5-minute charts since high/low options are unavailable.
HoneG_ไธญๆTick้ๅผตใv4
ใใคใใชใผใชใใทใงใณใฎ้ๅผตใ็จใตใคใณใใผใซใงใ
๏ผๅ่ถณใพใใฏ๏ผๅ่ถณใใฃใผใใซๅ
ฅใใฆใใ ใใใ
ๅคงๆตใฏไบๅใซใใใใคใปๆบๅใ๏ผใใญใผใปๆบๅใ๏ผ
ใจใใใใใชไบๅใขใฉใผใใๅบใพใใใใใฎๆ็นใงใฏใจใณใใชใผใใชใใงไธใใใ
ใจใณใใชใผๆกไปถใๆใฃใใใไธ่จๆ่จใฎใจใณใใชใผใขใฉใผใใๅฑใใพใใ
ใใใคใปไธญๆใใฃใใฏใจใณใใชใผใ๏ผใใญใผใปไธญๆใใฃใใฏใจใณใใชใผใ๏ผ
ใจใณใใชใผใขใฉใผใใ็บใใใใใๅณใจใณใใชใผใงใใ
ใใฎ้ใใใฃใผใไธใซใฏโฒใโผใ่กจ็คบใใใใฎใงใใใใใพใซ้ไธญใงๆถใใๅ ดๅใใใใพใใ
โฒใโผใๆถใใฆใใฆใใใขใฉใผใใญใฐใจใใฃใผใใฎๅฝขใ่ฆใฆ่กใใใใชใใจใณใใชใผใใฆokใงใใ
ใจใณใใชใผๆ้ใฏhigh/lowใฎไธญๆใใคใพใ4ๅ๏ฝ9ๅๆจๅฅจใงใใ
ไปฎๆณ้่ฒจใฎๅ ดๅใฏhigh/lowใไฝฟใใชใใฎใง5ๅใงใ้กใใใพใใ
