CQHv10 8 Ultra-Clean EMA Ribbon+Momentum Dashboard+Live heatmapCQHv10 Indicator – (Version with EMA ribbon, multi-timeframe status, momentum dashboard, crypto watchlist & round levels)
Purpose
This indicator helps you quickly see: Trend direction via a colored EMA ribbon
Higher timeframe alignment (Daily / Weekly / Monthly)
Short-term momentum + RSI on multiple timeframes
Performance of major coins right now
Key psychological round-number levels (mainly useful on BTC)
1. The EMA Ribbon (main visual part on the chart)8 Exponential Moving Averages with different periods and colors:
10
Bright green
Thin
Very short-term momentum
20
Medium green
Thin
Short-term trend
50
Blue
Medium
Intermediate trend
100
Orange
Medium
Medium-term trend
200
Red
Thick
Classic long-term trend line
400
Yellow
Thick
Very long-term (institutional view)
800
Gold/Brown
Thick
Ultra long-term support/resistance
1600
Almost white
Thick
Extreme long-term anchor
Small clean numbers appear on the right side of the chart next to each line (e.g. "10", "200", "1600") so you can instantly see which color = which period.
How to read the ribbon quickly
All lines stacked upward + green/orange/red lines rising → strong bullish trend
All lines stacked downward + red/orange lines falling → strong bearish trend
Lines tangled / flat / crossing frequently → ranging / choppy market
Price far above the ribbon → very overextended bullish (possible pullback soon)
Price far below the ribbon → very oversold (possible bounce soon)
Price hugging the 50/100/200 → usually the most important dynamic support/resistance zones
2. Multi-Timeframe EMA Status Table (top-right)Shows whether price is above or below the 50 & 200 EMA on Daily, Weekly and Monthly charts.
Symbol Meaning
Color
● Price > EMA Green
○ Price < EMA Red
Bull
Price > 50 > 200
Green bg
Bear
Price < 50 < 200
Red bg
Neutral
mixed situation
Gray bg
Quick interpretation
All three timeframes Bull → very strong bullish bias (higher probability longs)
All three Bear → very strong bearish bias
Mixed (e.g. Daily Bull, Weekly Neutral, Monthly Bear) → be careful, trend conflict
3. Crypto Quick Watchlist (% Change)
Bottom right Shows 1-period % change for the most popular coins (always in the same timeframe as your chart).
Coins: BTC, ETH, SOL, XRP, ADA, DOGE
Green background → coin is up
Red background → coin is down
Gray → flat
Very useful when you want to see at a glance whether "the market" is pumping, dumping or quiet.
4. Round Number Levels (horizontal dashed lines)Fixed psychological levels for Bitcoin (mainly visible/useful when charting BTCUSDT or BTC pairs):100k, 90k, 80k, 70k, 60k, 50k
These lines extend to the right and act as magnets / support/resistance in many traders' psychology.
5. Momentum Dashboard (top center) – optional You can turn it on/off in the settings:
Show Momentum Table checkbox (default = on)
Columns: TF → timeframe
RSI → 14-period RSI on that timeframe
EMA Momentum → Bull / Bear / Neutral
Timeframes shown: 15 min, 1 h, 4 h, Daily, WeeklyHow to read it fastMany Bull + RSI > 60 → momentum is strong upward
Many Bear + RSI < 40 → momentum is strong downward
Lots of Neutral + RSI 45–55 → market is indecisive / ranging
Divergences (e.g. 15m Bull but Daily Bear ) → possible short-term counter-trend move
Settings you can change :Dashboard group Show Momentum Table → hide/show the top-center table
Bull / Bear / Neutral Color → change emoji background colors if you dislike the defaults
Dashboard Text Size → make text bigger/smaller if it's too small on your screen
Recommended chart usage examples :
Swing trading / position trading
Focus on: ribbon direction + MTF table + Momentum dashboard weekly/daily column Scalping / day trading
Focus on: short EMAs (10/20/50), 15m–4h momentum table, % change table (see if alts follow BTC)Trend confirmation
Only take trades when your timeframe + higher timeframes (Daily/Weekly) agree
Avoid very tangled ribbon + mixed MTF signals + neutral momentum → usually choppy / losing range.
Made by @CryptoQuickHits (more info on x.com/CryptoQuickHits in the pinned post)
Rata-Rata Pergerakan Eksponensial / Exponential Moving Average (EMA)
Adaptive ZigZag Context v1 (Stable)Adaptive ZigZag Context v1 (Stable) is a versatile swing structure indicator that adaptively detects pivot highs and lows while providing higher timeframe context. It helps traders visualize market structure, trend bias, and potential reversal points with stable signals.
Key Features:
Detects swing highs and lows adaptively using a configurable pivot leg length.
Draws ZigZag lines connecting confirmed pivots for clear market structure visualization.
Highlights higher timeframe trend bias using EMA and background color (green for bullish, red for bearish).
Usage:
Analyze market swings and identify potential reversal zones.
Combine with other indicators for trend confirmation.
Useful for multi-timeframe analysis with higher timeframe EMA context.
Important Notes:
This indicator does not provide performance guarantees.
Past behavior does not imply future results.
Traders are encouraged to use this tool alongside other analysis techniques and risk management strategies.
Low Volatility Range Breakout (Strategy)Here is a professional and engaging description for your strategy, optimized for the TradingView community. You can paste this directly into the "Description" box when publishing.
Low Volatility Range Breakout Strategy (V6)
Overview
This strategy is built on the principle that volatility is cyclical. It identifies periods of extreme market "compression" (low volatility) where price consolidates within a tight range, and attempts to capture the "expansion" (breakout) that typically follows.
By filtering for both price range and candle body size, it ensures that only high-quality consolidation zones are traded.
How It Works
The strategy operates in three distinct phases:
Detection (The Squeeze): It monitors the True Range (TR) and Candle Bodies. If they fall below a specific multiplier of their moving average, the script identifies "Low Volatility" bars.
Validation (The Range): A "Price Box" is formed if a minimum number of bars (Min Bars) stay within a tight volatility threshold. It even allows for a few "noise" bars (Gaps) to keep the range valid during minor spikes.
Execution (The Breakout): * Long Entry: Triggered when the price breaks above the range high, provided the price is also above the Dynamic EMA.
Short Entry: Triggered when the price breaks below the range low, provided the price is also below the Dynamic EMA.
Key Features
Dual Volatility Filters: Uses both ATR-based and Body-size-based filters to find truly "quiet" markets.
Trend Alignment: The integrated Dynamic EMA ensures you are always trading in the direction of the immediate trend, reducing "fakeout" risks.
Robust Risk Management:
Fixed % Stop Loss: Automatically places a protection level at a user-defined percentage.
EMA Trailing Exit: Uses the EMA as a trailing stop to let winning trades run until the trend shifts.
Fully Customizable Visuals: High-quality on-chart boxes and labels to identify range zones and breakout signals clearly.
How to Use
Timeframes: Best suited for 15m, 1h, and 4h charts where consolidation patterns are more reliable.
Assets: Works well on Forex, Crypto, and Stocks that exhibit clear trending behavior after consolidation.
Optimization Tip: Adjust the Volatility Window and Min Bars based on the asset's typical behavior. For example, use a higher Min Bars count for slower-moving stocks.
Disclaimer
No strategy is foolproof. This tool is designed to identify high-probability breakout setups, but users should always practice proper position sizing and risk management.
OI: Value BandOI: Value Band is a clean overlay that shows bias, pressure, and compression/expansion at a glance by comparing a stable Baseline against a faster EMA, with a colour-changing fill between them.
This script is free to use but published as protected (closed source).
What makes it different
The Baseline isn’t a generic “just another moving average.” It’s powered by a lightweight version one of our original volume-based engines, built to stay highly reactive while still keeping the line stable enough to use as a reference. The idea is simple: reduce lag without turning the chart into noise, so the band reflects meaningful shifts sooner than a purely price-smoothed approach.
Lazy DOW by exp3rtsThe Lazy DOW strategy is a straightforward, trend-following approach designed specifically for trading the Dow Jones Industrial Average (YM/MYM). It focuses on entering long trades during favorable market conditions, combining multi-timeframe trend detection, pullback entries, volatility filtering, and ATR-based risk management.
FOR 1H CHART INTERVAL ONLY!
Check 1) Recalculate after order is filled and 2) Fill orders on bar close
Key Features:
1. Trend Detection
Exponential Moving Averages (EMAs):
- 21 EMA: Short-term trend and pullback reference.
- 50 EMA: Intermediate trend confirmation.
- 200 EMA: Long-term trend filter.
Risk-On Market Regime:
- Long trades are only considered when price is above the 200 EMA and the 50 EMA is also above the 200 EMA.
- Ensures trades align with the primary market trend.
2. Volatility Filtering
ATR-Based Volatility Check:
- 14-period ATR compared against its 50-period SMA.
- Trades are only allowed during periods of low volatility, reducing the risk of unpredictable price spikes.
Helps the strategy avoid choppy or turbulent market conditions.
3. Entry Logic
Pullback Entry to EMA21:
- Trades are triggered when price pulls back slightly (≤1% above the 21 EMA), capitalizing on minor retracements within a strong uptrend.
RSI Filter:
- Long entries require RSI between 40–55 to ensure momentum is not overextended.
Combines trend-following and momentum principles for high-probability entries.
4. Risk Management
ATR-Based Stop Loss:
- Initial stop placed 2 ATRs below entry price.
ATR-Based Take Profit:
- Target set 3 ATRs above entry price.
This risk-reward setup aims for well-defined exits and preserves capital during adverse moves.
5. Execution
Automated long entries when all conditions are met.
Single exit strategy with stop loss and take profit.
Trade sizing defaults to 1% of account equity, but can be adjusted.
6. Visuals
EMA Plots:
- 21 EMA in orange, 50 EMA in blue, 200 EMA in red.
Background Color Coding:
- Green shading indicates “risk-on” conditions (trend up and low volatility), providing quick visual confirmation of trade-worthy environments.
EMA Buy/Sell & Smart Zones(5Min TF only)### **Indicator Title:**
**EMA Buy/Sell & Smart Zones**
---
### **Description:**
**EMA Buy/Sell & Smart Zones** is a specialized intraday trading tool designed to combine trend analysis with precise market structure zones. This script utilizes a custom tracking algorithm to identify the **specific candle** that formed the previous session's high or low, allowing it to plot accurate Supply and Demand zones for the current trading day.
This indicator has been rigorously tested on the **Nifty Index** and is optimized for use on the **5-minute timeframe**.
### **Key Features**
**1. Smart Session Wick Zones ("True Wick" Logic)**
The indicator automatically scans every candle of the previous session to locate the exact price action that formed the day's extremes.
* **Smart High Zone:** Identifies the specific candle that made yesterday's High and plots a zone from that High down to that candle's Open or Close (based on body direction).
* **Smart Low Zone:** Identifies the specific candle that made yesterday's Low and plots a zone from that Low up to that candle's Open or Close.
* **Close Range:** Highlights the High-Low range of the very last candle of the previous session to show the closing sentiment.
*All zones automatically stop extending at the end of the current session, ensuring the chart remains clean and historically accurate.*
**2. EMA Trend System**
The script plots three key Exponential Moving Averages to define market direction:
* **EMA 21:** Captures short-term momentum.
* **EMA 63:** Defines the medium-term trend.
* **EMA 1575:** Establishes the long-term baseline.
**3. Buy/Sell Signals**
Clear signals are generated on the chart based on specific criteria:
* **BUY Signal:** Generated when a green candle closes above the EMA 21 and EMA 63.
* **SELL Signal:** Generated when a red candle closes below the EMA 21 and EMA 63.
* *Note: The logic includes a filter to alternate signals (Buy -> Sell -> Buy), preventing clutter during choppy markets.*
### **How to Use**
* **Recommended Timeframe:** **5 Minutes**.
* **Recommended Markets:** Indices (Nifty, Bank Nifty) and high-volume stocks.
* **Workflow:**
* Use the **Smart Zones** (Red/Green boxes) to identify potential rejection areas or breakout targets.
* Use the **Buy/Sell Labels** as confirmation triggers when price is reacting near these zones or trending strongly above/below the EMAs.
### **Settings & Customization**
* **Visibility Control:** Toggle each box type (High, Low, Close) and text labels on or off individually.
* **Color Customization:** Fully adjustable colors for all EMAs, Zone Backgrounds, Borders, and Text Labels to suit your chart theme.
* **Label Size:** Adjust the text size of the zone labels directly from the settings menu.
---
**Disclaimer:** This tool is for educational purposes and should be used to assist your analysis. Always manage your risk appropriately.
VWMA Cross Buy SignalCore Components & Logic
1. The Entry Engine (VWMA + Filters)
The strategy triggers a long signal when a Volume Weighted Moving Average (VWMA) crossover occurs.
Unlike a standard Simple Moving Average, the VWMA gives more weight to bars with higher volume. This ensures the indicator responds faster to "Smart Money" moves and slower to low-volume noise.
It uses a secondary Trend Filter (defaulting to the 200 EMA). By only buying when the price is above this line, the indicator forces you to stay on the right side of the primary market trend.
It requires volume to be higher than its recent average (e.g., 1.1× or 10% higher). This prevents entries on weak, low-conviction price moves.
2. The Dynamic Exit System
You have two distinct ways to manage your risk and targets, toggleable in the settings:
ATR Based (Volatility Adjusted): It calculates the Average True Range (ATR) to determine how volatile the stock is. By setting your Stop Loss at 2.0×ATR, you avoid getting "shaken out" by normal daily price fluctuations. The Take Profit is set at 4.4×ATR to capture large trend extensions.
Fixed % (Static): A more rigid approach where you set a hard percentage target (e.g., 10% gain / 5% loss).
3. The Performance Analytics Table
The grey minimalist table in the bottom-right corner uses cumulative percentage-based math to show:
Realized RRR: The actual Reward-to-Risk ratio based on your closed trades.
Break-Even Win Rate: The minimum win rate you need to stay profitable with your current RRR. It uses the formula:
BE WR=1+RRR1
Current Win Rate: Highlighted in Green if you are beating the Break-Even rate, or Red if the strategy is currently losing money on that specific stock.
Max Drawdown %: The most important metric for risk. It shows the largest peak-to-trough decline in your equity curve, letting you know how much losing streak can hurt your equity.
Strategic Use Case
This indicator is optimized for Stock Screening. When you flip through your watchlist, the table updates instantly.
If you see a stock with a high Win Rate and a Max Drawdown under 10%, you have found a ticker where the VWMA crossover logic is highly compatible with that stock's specific volatility. If the Win Rate cell is Red, you know the strategy is "un-tuned" for that asset and needs adjustment.
forex evergreen (RN Markets)The Smart Trader Strategy by RN Markets is designed to give traders a real edge through disciplined money management. You decide your targets, maintain full trading freedom, and trade with confidence knowing your risk and rewards are always under your control.
Support/Resistance & EMA Crossovers with AlertsPublic Script for Support/Resistance & EMA Crossovers with Alerts
DurdenBTCs Dual Signal Trend SentinelA Bitcoin-Specific Strategy that Beats Buy and Hold
This is a Volatility Adjusted Momentum (VAMS) strategy tuned specifically for Bitcoin. Unlike standard Moving Average crossovers that get chopped up in sideways markets, this script uses Z-Score logic to normalize price distance from the trend, helping you stay in major moves and exit before deep drawdowns.
How It Works: Markets move in cycles. This strategy focuses on the Quarterly Cycle (approx. 3 months) to determine the dominant trend.
The Baseline: It calculates a 63-period trend baseline.
Volatility Adjustment: It measures the standard deviation of price around that baseline to assess real volatility.
The VAMS Score (Z-Score): It calculates exactly how many standard deviations price is away from the mean using the formula: (Close - Baseline) / Volatility .
The Signal Logic: The strategy classifies the market into three clear regimes using a color-coded background:
🟢BULLISH (Green Background): Price is > 0.5 Standard Deviations above the baseline. This indicates a strong momentum breakout. The strategy enters a Long position here.
🔴BEARISH (Red Background): Price is < -0.5 Standard Deviations below the baseline. This indicates trend failure. The strategy Closes All positions to preserve capital.
🟠NEUTRAL (Gray/Orange Background): Price is chopping between -0.5 and 0.5. This is the "noise" zone where trends are undefined. You can customize how you want the strategy to work at this point.
Why Use This?
Visual Clarity: The background color tells you the regime instantly, no need to guess.
Objective Entries/Exits : Removes emotion by using math-based volatility thresholds rather than arbitrary price levels.
Tuned for BTC: The 63-length lookback is specifically chosen to capture Bitcoin's quarterly flows.
🚀 Want More Precision? This script is the "Core" version of my trading framework. If you like this logic but want to reduce lag and capture moves even earlier, check out my private script: Bitcoin Gaussian Volatility Trend Signal . Access is granted to Substack subscribers.
The private version includes advanced Gaussian smoothing to filter out fake-outs that standard moving averages miss, offering a sharper edge for active investors.
Disclaimer: Past performance is not indicative of future results.
SHIB/USDT High-Frequency TrendThis strategy is a higher-frequency trend-following system designed for BINANCE:SHIBUSDT (commonly used on 30m / 1h). It focuses on capturing frequent trend legs using EMA structure plus momentum confirmation, while filtering out low-quality conditions via ADX and ATR% regime checks. It also includes SL/TP/trailing and an optional breakeven stop.
What it does
Trend structure : Strong uptrend when EMA Fast > EMA Slow > EMA Trend (and vice versa for downtrend).
Momentum confirmation : RSI threshold + MACD line vs signal line.
Regime filter : requires enough trend strength (ADX) and enough movement (ATR%).
Cooldown : pauses entries for a few bars after an exit to reduce churn.
Entries
Long : Uptrend confirmed for N bars + RSI below max + MACD > signal + regime ok.
Short : Downtrend confirmed for N bars + RSI above min + MACD < signal + regime ok.
Exits & risk management
Signal exit : close on opposite signal.
Stop Loss : fixed % from entry.
Take Profit : fixed % from entry.
Trailing Stop : trails from the best price since entry.
Breakeven (optional) : arms after a profit trigger and tightens the stop toward entry.
Alerts
This script includes alert conditions for entries:
Long Entry Signal
Short Entry Signal
How to use
Start on BINANCE:SHIBUSDT with 30m . If you change timeframe, re-tune EMA lengths, regime thresholds, and risk parameters.
Keep the date filter disabled for live trading; it exists to reproduce historical backtest windows.
Trading fees/commission materially impact high-frequency systems—validate with realistic costs and slippage.
Key inputs snapshot
EMA: 9 / 21 / 50
RSI(15): long when RSI < 55, short when RSI > 36
MACD: (9, 24, 9)
Regime:
ADX(14) >= 11.5
ATR(14) / close >= 0.20%
Risk:
SL 3.0%, TP 4.5%, Trail 2.0%
Breakeven: trigger 0.8%, offset 0.1%
Cooldown: 4 bars
Educational use only. This is not financial advice. Forward-test before risking capital.
Market State Data Box Multi TF Trend Reversion BreakoutsThe Market State Data Box (v6) is a visual dashboard overlay that provides a real-time snapshot of market structure across multiple timeframes. It helps traders quickly assess trend direction, mean reversion conditions, and breakout volatility all without cluttering the chart.
For each selected timeframe (Monthly to 2-minute), the box displays:
Trend Alignment
Detects whether EMAs are in bullish, bearish, or neutral alignment:
Green = Bullish trend (stacked EMAs)
Red = Bearish trend (inverted EMAs)
Black = Neutral/mixed
Mean Reversion Zone
Highlights if the price is currently between EMA1 and EMA3, suggesting a potential mean-reversion environment (sideways, balanced).
BB Breakout Detection
Triggers if price breaks outside a 2 standard deviation range around the EMA (like a Bollinger Band breakout), useful for spotting explosive moves or fakeouts.
Customizable Inputs
Enable or disable any timeframe (Monthly, Weekly, Daily, etc.)
Set custom EMA values per timeframe (default: 20, 50, 200)
Use 2-EMA logic by setting the 3rd EMA to 0
Adjust box transparency and position
Use Case Examples
Use higher TFs (D, W, M) for trend bias
Use lower TFs (2m, 5m, 15m) for execution
Confirm breakouts or range setups using BB Break & MR zones
EMA Forecast [QuantAlgo]🟢 Overview
The EMA Forecast extends traditional Exponential Moving Average analysis by projecting potential future EMA values up to 20 bars ahead. Unlike conventional dual-EMA systems that only display historical crossovers and trend states, this indicator uses three proprietary forecasting models, each analyzing different market dimensions (structure, volume dynamics, or mathematical trend), to explore potential price paths and calculate how the fast and slow EMAs might evolve. This approach allows traders to form probabilistic expectations about future trend states, crossover timing, and momentum shifts across various asset classes and timeframes.
🟢 How It Works
The indicator operates through a multi-stage calculation process that projects EMA trajectories forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each examining different market characteristics (structural patterns, volume accumulation/distribution, or linear trend progression). These projected prices then undergo a dynamic oscillation process that applies realistic volatility scaled by ATR (Average True Range), simulating natural price movement patterns rather than producing unrealistic smooth projections. Finally, the system performs iterative EMA calculations using the standard exponential formula, feeding each forecasted price sequentially through both the fast and slow EMA algorithms to generate continuous projected values while maintaining mathematical consistency with the historical EMAs.
The forecasting engine recalculates projections on every bar update (or confirmed bar, based on settings), adapting to evolving market conditions through configurable lookback periods. The implementation preserves the mathematical integrity of EMA calculations while extrapolating trend trajectories, creating visual continuity between historical solid EMA lines and forecasted semi-transparent dashed lines that extend beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes.
▶ Practical Implications:
Explores potential EMA behavior during structural trend continuation
Identifies scenarios where structure breaks might influence EMA crossovers
Could be useful for swing traders and position traders who incorporate order flow and liquidity concepts
The Structure Influence parameter allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion when structure weakens or reverses
May assist in anticipating false breakouts when structure contradicts price direction
2. Volume-Weighted Model
This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios.
▶ Practical Implications:
Incorporates institutional footprint analysis into EMA trend forecasting
Attempts to distinguish between price moves supported by volume versus those that may lack follow-through
Could be particularly relevant in markets where volume data is reliable and significant
Volume Influence parameter enables adaptation to different market microstructures and liquidity profiles
Highlights potential accumulation/distribution phases that might precede major EMA crossovers
May help filter low-volume price noise that creates false EMA signals
Could be valuable for traders who require volume confirmation before acting on trend signals
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies.
▶ Practical Implications:
Delivers reproducible forecasts based on statistical principles
Performs well in established trending markets with clear directional bias
Minimal parameter sensitivity (primarily controlled by lookback period length)
Computationally efficient with fast recalculation suitable for multi-timeframe analysis
Serves as a neutral baseline to compare against the more complex structure and volume methods
Provides simpler forecasts in low-noise environments without the assumptions inherent in smart money or volume analysis
🟢 Universal Applications Across All Models
Each forecasting method projects potential future EMA values (both fast and slow lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible bullish or bearish EMA crosses several bars ahead, enabling proactive position planning rather than reactive trade execution
▶ Explore trend continuation scenarios: Assess whether current trends might maintain separation between EMAs or converge toward crossover zones
▶ Plan entry timing: Identify potential optimal entry points along the forecasted EMA trajectory, such as price pullbacks to the forecasted fast EMA in uptrends
▶ Evaluate trend strength: Monitor the distance between forecasted fast and slow EMAs as a proxy for potential momentum sustainability
▶ Develop systematic strategies: Build rules based on forecasted crossover timing, EMA slope changes, or convergence/divergence patterns
▶ Adapt to market conditions: Switch between forecasting methods based on current market character, e.g., structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments
▶ Assess risk/reward: Use forecasted EMA levels as potential dynamic support/resistance for stop-loss placement and profit target estimation
▶ Combine with other indicators: Layer forecasted EMA crossovers with momentum oscillators, volatility bands, or volume profiles for multi-confirmation setups
The indicator includes extensive customization options: adjustable EMA periods, forecast volatility control to simulate realistic or smooth price movement, realtime bar inclusion toggle, multiple color presets, optional bar coloring, crossover signal triangles, configurable transparency, and built-in alerts.
As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can account for unexpected news events, regime shifts, or black swan occurrences. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
Longer EMA/MA (SurfXBT)A long-term trend indicator based on MA 100, EMA 200, and MA 300.
It also includes an option to display the 4H EMA 200 across all timeframes for higher-timeframe trend orientation.
Local Trend (SurfXBT)Local Trend is a trend-following indicator based on the EMA 13, 25, and 36. It features and optional trend cloud, that changes color to reflect whenever the short term EMA is above the slowest one or the opposite.
6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe.
Dual EMA (9 & 16) Customizable 📈 Dual EMA Indicator (Customizable & Preset Based)
The Dual EMA Indicator is a simple yet powerful trend-following tool that plots two Exponential Moving Averages (EMAs) on the price chart. It is designed for scalpers, intraday traders, and swing traders who rely on EMA crossovers and trend direction for decision-making.
This indicator allows full customization of both EMAs, including length, color, source, line width, and offset. Users can also enable or disable each EMA individually, keeping the chart clean and focused.
To make trading faster and easier, built-in preset EMA combinations such as 5–9, 9–21, and 16–34 are provided, which are commonly used for scalping and trend trading. A Custom mode is also available for traders who prefer their own EMA settings.
🔑 Key Features
Two EMAs in a single indicator
Preset EMA pairs for scalping and intraday trading
Fully customizable EMA lengths and sources
Change colors, line width, and offset
Enable/disable each EMA with a checkbox
Clean and lightweight with no lag
📊 How to Use
Fast EMA above Slow EMA → Bullish trend
Fast EMA below Slow EMA → Bearish trend
EMA crossovers can be used for entry and exit confirmation
Works well on 1m, 3m, 5m, 15m, and higher timeframes
This indicator is ideal for traders who want a simple, flexible, and reliable EMA setup without cluttering their charts.
SMC Wave Sentinel v4.1 - Precision Trend Engine (by ChatGPT)Wave Sentinel v4.1 – Precision Trend Engine (by ChatGPT)
Wave Sentinel v4.1 is a precision-engineered scalping and trend detection system that combines adaptive multi-EMA logic with synchronized Profit Wave visualization.
Designed collaboratively with ChatGPT (2026), this system focuses on precision, responsiveness, and visual clarity for active traders.
Features:
• Adaptive multi-EMA trend detection
• Profit Wave visualization with top/bottom zones
• Single active signal logic (reduces false flips)
• Adaptive background trend filtering
• Customizable colors, alerts, and visual styles
Optimized for 15-second to 1-minute charts, but adaptable to any timeframe.
Built for scalpers, momentum traders, and algorithmic developers who value speed, structure, and visual precision.
