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Set your target_avgps18any dought contact on t.me
this is indicator base trading style try to recover your losses and stable in trading
selling positions make better profit
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
Momentum RSIMomentum RSI (MRSI | MisinkoMaster)
Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision.
Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies.
🔍 Concept & Idea
Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps:
Capture early signals in trending markets
Reduce false signals during sideways or choppy conditions
Highlight overbought and oversold zones more effectively
Provide additional momentum context for more informed trading decisions
By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes.
⚙️ How It Works
The Momentum RSI calculation involves several key steps:
Standard RSI Calculation:
The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
Momentum Derivation:
Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength.
Additional Momentum:
The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales.
Momentum Integration:
These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100.
Trend Detection:
Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish.
Overbought/Oversold Zones:
Additional thresholds highlight extreme value zones for potential mean-reversion trades.
🧩 Inputs Overview
RSI Length - Controls the primary RSI calculation length (default 20).
Source - Selects the price source for the RSI calculation (default: close).
Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12).
MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected).
ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected).
Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55).
Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45).
Overbought Threshold - RSI level indicating overbought conditions (default 85).
Oversold Threshold - RSI level indicating oversold conditions (default 15).
📌 Usage Notes
Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies.
Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing.
Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset.
Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes.
Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability.
Intrabar Updates: Signals may update on lower timeframes for responsive trading.
Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators.
Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe.
⚠️ Disclaimer
This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
Extreme HMA ATR BandsExtreme HMA ATR Bands
Extreme HMA ATR Bands are a fast and smooth trend-following tool designed to capture directional moves while minimizing false signals across volatile markets.
🚀 Benefits
• High responsiveness to market moves
• Smooth trend tracking with fewer false signals
• Strong performance on assets such as SOLUSD, SUIUSD, and CROUSD
• Clear visual band structure for easier market interpretation
💡 Core Idea
The indicator builds adaptive bands around a smoothed price structure derived from Hull-type processing. By focusing on extreme values and combining them into a balanced midpoint, the bands capture trend direction while maintaining smooth behavior.
ATR is then applied to dynamically scale the bands according to market volatility.
⚙️ How It Works
A fast-smoothed price series is calculated using Hull-style logic.
Highest and lowest values of this series are measured over multiple stages.
These extremes are processed again to balance responsiveness and smoothness.
The resulting midpoint forms the base trend line.
ATR is added and subtracted from this midpoint to generate adaptive upper and lower bands.
The result is a fast yet stable band structure that reacts efficiently to market direction changes.
📌 Usage Notes
• Price moving above the upper band suggests bullish pressure.
• Price moving below the lower band suggests bearish pressure.
• Band expansion signals increasing volatility.
• Band contraction often indicates consolidation phases.
Enjoy and trade smart.
Adaptive Moving AverageAdaptive Moving Average
The Adaptive Moving Average (AMA) dynamically adjusts to market conditions, selecting the most responsive behavior while filtering noise to provide clearer trend guidance.
🚀 Why It’s Unique
• Exclusive adaptive logic unique to this script
• High speed with reduced noise
• Strong performance on volatile assets such as SOLUSD and CROUSD
• Highly customizable moving average combinations
• Multi-layer processing for improved accuracy
• Color-changing plots and reversal highlights for quick interpretation
💡 Core Idea
The indicator blends multiple user-selected moving averages and dynamically emphasizes the one best suited to current market conditions. This preserves responsiveness during strong moves while filtering weak or noisy signals.
⚙️ How It Works
Three user-selected moving averages are calculated using the same base length.
A first adaptation layer weights the averages based on their rate of change responsiveness.
A second rate-of-change filter measures market conditions to suppress signals during unstable environments.
The final adaptive average changes behavior depending on market speed and direction.
The result is a moving average that reacts quickly during trends while remaining stable during choppy periods.
📌 Usage Notes
• Color changes indicate shifts in trend direction.
• Highlighted diamonds mark reversal events.
• Higher adaptation thresholds reduce signals but increase reliability.
• Lower thresholds increase responsiveness for faster trading styles.
🧭 Conclusion
The Adaptive Moving Average continuously adjusts its behavior to reduce false signals while maintaining speed and responsiveness. It offers a versatile tool for traders seeking clearer market structure and improved strategy execution.
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands
The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction.
🚀 Benefits
• Reduced noise through multi-source averaging
• Fast response to market changes
• Strong performance on volatile assets, especially altcoins (notably CROUSD)
💡 Core Idea
The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously.
⚙️ How It Works
A fast and a slow moving average are calculated.
Multiple intermediate values are derived and averaged to build a highly stable center line.
Differences between all components are averaged to estimate volatility.
This volatility is added and subtracted from the center line to form dynamic upper and lower bands.
The result is adaptive bands that track market structure with high accuracy and reduced lag.
📌 Usage Notes
• Best suited for trend detection and dynamic support/resistance.
• Bands expanding → volatility increasing.
• Bands contracting → market compression or consolidation.
• Crosses above/below bands often signal strong directional shifts.
Enjoy and trade smart.
Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
Length Adaptive MA SuperTrendLength Adaptive MA SuperTrend
Length Adaptive MA SuperTrend is a third-generation evolution of the SuperTrend concept, designed to improve signal accuracy while maintaining high responsiveness across different market conditions. The indicator dynamically adjusts its moving-average length to better match current market activity, allowing it to react quickly in fast markets while remaining stable during slower phases.
This adaptive behavior helps traders and investors visualize trend direction more clearly while reducing unnecessary noise, making the tool suitable for both beginners and advanced users seeking a responsive trend overlay.
🔍 How It Works
The indicator uses a moving average as the foundation for a SuperTrend-style structure, but instead of keeping the moving-average length fixed, it continuously adapts to changing market environments.
The script compares average activity levels across three horizons:
• Long-term period
• Medium-term period (half length)
• Short-term period (square-root length)
Activity is measured using one of three selectable drivers:
• ATR (volatility)
• Volume
• Standard deviation
Whichever period shows the strongest average activity becomes the active length used for calculating the moving-average base. This allows the indicator to automatically shift between faster and slower behavior depending on market conditions.
After selecting the active length, the result is slightly smoothed using the chosen moving-average type to produce a cleaner and more stable trend structure.
ATR-based bands are then applied around the adaptive base, and trend direction changes when price crosses these bands.
⚙️ Key Features
• Adaptive moving-average length selection
• Automatic adjustment between short, medium, and long market conditions
• Multiple smoothing types (SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, EWMA)
• ATR-based SuperTrend structure
• Trend transition markers
• Optional candle coloring based on active trend
🧩 Inputs Overview
• Moving-average smoothing type
• Base length and price source
• ATR length and multiplier
• Adaptive driver selection (ATR, Volume, or Standard Deviation)
📌 Usage Notes
• Helps visualize prevailing market trends across changing environments.
• Automatically adapts speed for trending and consolidating markets.
• Signals may change intrabar on lower timeframes.
• Best used with confirmation tools and proper risk management.
• Intended as an analytical tool, not financial advice.
Adaptive MA SuperTrendAdaptive MA SuperTrend
Adaptive MA SuperTrend is a trend-following overlay indicator designed to deliver smoother and more responsive signals than the classical SuperTrend by dynamically combining two moving averages with volatility-based band calculations.
Instead of relying on a single average, the script calculates a selectable pair of moving averages and continuously assigns them as the upper or lower base depending on which value is greater at each bar. This adaptive swapping allows the structure to respond better to changing market conditions while preserving overall trend stability.
A volatility component is then added to the bases using either:
• Average True Range (ATR)
• Standard Deviation (SD)
The selected volatility measure is multiplied by a configurable factor to create adaptive bands around the moving-average bases. Price crossing these bands determines trend direction changes.
When price crosses above the upper band, the trend switches bullish and the lower band becomes the trailing support line. When price crosses below the lower band, the trend switches bearish and the upper band becomes the trailing resistance line. Only the active trend side is plotted to reduce visual noise and improve chart clarity.
Multiple moving-average pair options are provided, allowing users to choose combinations that match their preferred balance between smoothness and responsiveness, including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and ALMA-based combinations. Additional parameters are available when ALMA is selected.
⚙️ Key Features
• Adaptive swapping between two moving averages
• Choice of MA pairs with different responsiveness profiles
• ATR or Standard Deviation volatility bands
• Configurable volatility length and multiplier
• Optional ALMA tuning parameters
• Trend visualization with color-coded support/resistance lines
• Signal markers displayed on trend transitions
🧩 Inputs Overview
• Moving average pair selection
• Moving average length and price source
• Volatility method, length, and multiplier
• Optional ALMA offset and sigma parameters
📌 Usage Notes
• Designed to help visualize prevailing trend direction and potential trend shifts.
• Can be combined with confirmation tools or risk management rules within broader strategies.
• Signals are generated when price crosses volatility-adjusted moving-average bands; signals may update intrabar, especially on lower timeframes.
• This script is intended for analytical purposes and does not constitute financial advice. Users should test and validate performance within their own workflow before applying it to live trading.
Golden Cross Over (GCO)Golden Cross Over Version 3.0 give you ability to use three different cross overs as to your choice...
Gives GCO - Bullish and Bearish - both...
Hope you take full use of the indicator...
PTT Moving Average DeviationPTT Moving Average Deviation
Identify statistically significant price extensions with precision.
This indicator measures how far price has deviated from its moving average as a percentage, with dynamic standard deviation bands to highlight extreme conditions.
📊 What It Shows
Blue Line: Percentage deviation from the moving average (0% = price equals MA)
Red Bands: ±1 standard deviation levels - statistically significant extremes
Zero Line: The moving average baseline
🔑 Key Features
Multi-Timeframe: View daily/weekly deviation even on intraday charts (30m, 1H, 4H, Daily, Weekly options)
Standard Deviation Bands: Adapts to each asset's volatility
Status Display: Real-time deviation status
Built-in Alerts: Get notified when price enters extreme zones
Customizable: MA type (SMA/EMA/WMA), length, colors, and std dev multiplier
📈 How To Interpret
When price moves beyond the standard deviation bands, it signals a statistically rare event:
Mean Reversion: Price is stretched and may snap back toward the average
Trend Initiation: A powerful trend may be starting - the "new normal" is forming
Context matters. Use with price action and market structure to determine which scenario is playing out.
⚙️ Default Settings
200-period SMA (classic institutional benchmark)
Daily timeframe (works on any chart)
±1 standard deviation bands
Part of the PTT (Plan Trigger Trade) indicator suite.
Golden EMA Basic Visuals - MAurum LabsGolden EMA UI is a premium-style trading indicator built for traders who value Clarity, Structure, and Precision.
At its core, the indicator uses a powerful EMA 9 / 21 / 50 frameworks to identify short-term momentum, trend direction, and higher-timeframe bias.
Advanced UI and rule-based BUY/SELL signals are available in the premium version via invite-only access.
Multi-Timeframe EMA LevelsThis indicator will plot 2 different EMA's from 4 different timeframes on your chart. It displays as horizontal dotted lines so does not clutter your chart with loads of MA's. The lines are labeled with timeframe, EMA length and the level value. Levels update in real time.
If you are trading key levels or ma's this plots everything for you on one single chart.
EMA & VWAP Crossover SignalsEMA And VWAP Crossover Signals
Overview
The **EMA & VWAP Crossover Signals** indicator is a comprehensive trading tool that combines the power of Exponential Moving Averages (EMA) and Volume Weighted Average Price (VWAP) to identify high-probability trading opportunities. This indicator automatically detects and classifies bullish and bearish signals based on the relationship between price action, EMAs, and VWAP.
Key Features
Technical Components
- **EMA 9** (Green Line): Fast-moving average for short-term trend identification
- **EMA 21** (Red Line): Slower-moving average for medium-term trend confirmation
- **VWAP** (Blue Line): Volume-weighted average price calculated using HLC/3 (High, Low, Close average)
Signal Types
Standard Signals
- **Bull Signal**: Small green triangle when EMA 9 crosses above EMA 21
- **Bear Signal**: Small red triangle when EMA 9 crosses below EMA 21
Enhanced Signals
- **Big Bull Signal**: Larger green triangle indicating stronger bullish momentum
- **Big Bear Signal**: Larger red triangle indicating stronger bearish momentum
How It Works
Big Bull Conditions (Strong Bullish Signals)
The indicator identifies four scenarios for Big Bull signals:
1. **Direct Breakout**: Bullish EMA crossover occurs when both EMAs are already above VWAP
2. **Delayed Confirmation**: After a bullish EMA crossover below VWAP, the candle closes above VWAP
3. **Simultaneous Break (From Below)**: Bullish EMA crossover and candle close above VWAP happen together while EMA 21 is below VWAP
4. **Simultaneous Break (From Above)**: Bullish EMA crossover with candle closing above both EMAs while VWAP is below the crossover point
Big Bear Conditions (Strong Bearish Signals)
Mirror scenarios for bearish signals:
1. **Direct Breakdown**: Bearish EMA crossover occurs when both EMAs are already below VWAP
2. **Delayed Confirmation**: After a bearish EMA crossover above VWAP, the candle closes below VWAP
3. **Simultaneous Break (From Above)**: Bearish EMA crossover and candle close below VWAP happen together while EMA 21 is above VWAP
4. **Simultaneous Break (From Below)**: Bearish EMA crossover with candle closing below both EMAs while VWAP is above the crossover point
Trading Applications
- **Trend Identification**: Use EMA crossovers to identify trend direction changes
- **Volume Confirmation**: VWAP integration ensures institutional support for moves
- **Entry Timing**: Big signals indicate higher-probability entry points with volume and trend alignment
- **Risk Management**: Standard signals can be used for early alerts, while Big signals confirm stronger setups
Visual Elements
- Clean, color-coded plots for easy identification
- Triangle shapes for quick signal recognition
- Text labels for clarity
- Size differentiation between standard and enhanced signals
Best Practices
- Use Big Bull/Bear signals for higher-confidence trades
- Combine with other analysis tools for confirmation
- Consider timeframe appropriateness (works on all timeframes)
- Watch for signal alignment with overall market structure
- Standard signals can provide early warnings, but Big signals offer better risk/reward
Unique Advantages
- Multi-scenario signal detection captures various market conditions
- Volume integration via VWAP filters out weak moves
- Smart tracking system prevents duplicate signals
- Automatic signal classification saves analysis time
**Disclaimer**: This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always practice proper risk management and combine with fundamental analysis and other technical tools.
XAUUSD 10x Alpha Pro V6 - Optimized EntryOverview The XAUUSD 10x Alpha Pro V6 is a trend-following indicator specifically optimized for the volatility of Gold (XAUUSD), though it performs well on other major pairs. It combines the reliability of a Supertrend backbone with dynamic ATR-based risk management to help traders identify high-probability entries.
Key Features
Dual Entry Logic: The script triggers signals during initial trend reversals AND on low-risk pullbacks to the trend line.
Dynamic Stop Loss: Automatically calculates a suggested SL based on current market volatility (ATR), helping you stay in trades while protecting capital.
Visual Clarity: Features an adaptive trend line and background shading to keep you on the right side of the market at a glance.
How to Use
10x BUY: Triggered when the trend shifts bullish or when price successfully tests the support line during a pullback.
Stop Loss: Use the price level displayed on the green label to set your initial SL.
10x SELL: Triggered when the trend turns bearish, signaling an exit for long positions or a potential short entry.
Best For:
Scalping and Day Trading (15m and 1 hour timeframe).
Traders looking for clear, non-repainting entry signals.
Promethus █ OVERVIEW
HPT Master Suite is an all-in-one institutional trading toolkit combining multi-timeframe analysis, Smart Money Concepts (SMC), and volume-based detection systems.
█ FEATURES
MTF DASHBOARD
- Real-time analysis across 9 timeframes (1M to Monthly)
- MA alignment status with trend detection
- RSI and squeeze monitoring
- Macro data row (VIX, DXY, 10Y, OIL)
- 5/20 and 9/21 cross confluence tracking
SMART MONEY CONCEPTS
- Volumetric Order Blocks with engagement detection
- Fair Value Gaps with 50% CE line
- Liquidity sweep detection
- Unicorn Model (FVG + OB overlap)
VOLUME ANALYSIS
- Dynamic Volume Profile (POC, VAH, VAL)
- High/Low Volume Nodes
- Naked POC tracking
- Absorption detection with strength gauge
INSTITUTIONAL TOOLS
- 55 SMA institutional support level
- Significant wick levels
- Session boxes (Asia, London, NYSE, Lunch, PM)
- SMT Divergence detection
SIGNALS
- Buy/Sell signals with adjustable sensitivity
- Golden/Death Cross alerts
- OB engagement alerts
█ USAGE
Enable features as needed - all components are modular and can be toggled independently. Start with the dashboard and add SMC/volume tools based on your trading style.
█ SETTINGS
Most detection parameters use simplified controls (Low/Medium/High) for ease of use while maintaining effectiveness.
█ NOTES
Works best on futures (NQ, ES) and indices. Dashboard updates in real-time across all timeframes.
For TradingView I am not redirecting, and or soliciting any service. If your interesting in learning more and how I trade with a 98% WR in options and above 80% in futures the links to my FREE site's are listed in my profile.
Custom 4 EMA [TickDaddy]Custom 4 EMA
Hey everyone! I put together this EMA indicator because I wanted more flexibility than what's built into TradingView. Figured I'd share it in case anyone else finds it useful.
What it does:
Customizable EMA Periods
Change all 4 EMAs to whatever periods you want (I default them to 20/50/100/200 but you do you)
Not stuck with preset values - make it work for your strategy
Toggle EMAs On/Off
Each EMA has its own checkbox
Super handy when you want to hide one without losing your settings
Multi-Timeframe EMAs
This is the big one - you can view higher timeframe EMAs on your current chart
Like if you're day trading on a 15-min chart but want to see where the daily EMAs are
Works with any timeframe: Daily, Weekly, 4-Hour, whatever you need
Helps you respect the bigger picture while trading lower timeframes
Smooth Lines on Multi-Timeframe
Got rid of that annoying zigzag effect when using higher timeframes
You can adjust how smooth you want them (or turn it off)
Clean Setup
All the style stuff (colors, thickness, line style) is in the Style tab where it should be
Input settings are organized and not cluttered
Built this with Pine Script v6. Hope it helps with your trading!
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
LC Candle Size (Avg of Last 5)Candle Size (Avg of Last 5) is a lightweight volatility tool that measures the size of each candle and plots it as a histogram. It also calculates the average candle size of the last 5 bars to help identify expanding or contracting volatility.
Users can choose between:
• High–Low Range
• Candle Body (Open–Close)
• True Range
Ideal for scalpers and intraday traders who want a quick visual of momentum and candle strength.
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference






















