Uptrick: Mean ReversionOverview
Uptrick: Mean Reversion is a technical indicator designed to identify statistically significant reversal opportunities by monitoring market extremes. It presents a unified view of multiple analytical layers—momentum shifts, extreme zones, divergence patterns, and a multi-factor bias dashboard—within a single pane. By translating price momentum into a normalized framework, it highlights areas where prices are likely to revert to their average range.
Introduction
Uptrick: Mean Reversion relies on several core concepts:
Volatility normalization
The indicator rescales recent market momentum into a common scale so that extreme readings can be interpreted consistently across different assets and timeframes.
Mean reversion principle
Markets often oscillate around an average level. When values stray too far beyond typical ranges, a return toward the mean is likely. Uptrick: Mean Reversion detects when these extremes occur.
Momentum inflection
Sharp changes in momentum direction frequently presage turning points. The indicator watches for shifts from upward momentum to downward momentum (and vice versa) to help time entries and exits.
Divergence
When price trends and internal momentum readings move in opposite directions, it can signal weakening momentum and an impending reversal. Uptrick: Mean Reversion flags such divergence conditions directly on the indicator pane.
Multi-factor sentiment
No single metric tells the entire story. By combining several independent sentiment measures—price structure, momentum, oscillators, and external market context—Uptrick: Mean Reversion offers a more balanced view of overall market bias.
Purpose
Uptrick: Mean Reversion was created for traders who focus on countertrend opportunities rather than simply following established trends. Its main objectives are:
Spot extreme conditions
By normalizing momentum into a standardized scale, the indicator clearly marks when the market is in overbought or oversold territory. These conditions often align with points where a snapback toward average is more probable.
Provide reversal signals
Built-in logic detects when momentum shifts direction within extreme zones and displays clear buy or sell markers to guide countertrend entries and exits.
Highlight hidden divergences
Divergence between price and internal momentum can suggest underlying weakness or strength ahead of actual price moves. Uptrick: Mean Reversion plots these divergences directly, allowing traders to anticipate reversals earlier.
Offer contextual bias
A dynamic dashboard aggregates multiple independent indicators—based on recent price action, momentum readings, common oscillators, and broader market context—to produce a single sentiment label. This helps traders determine whether mean reversion signals align with or contradict overall market conditions.
Cater to lower timeframes
Mean reversion tends to occur more frequently and reliably on shorter timeframes (for example, 5-minute, 15-minute, or 1-hour charts). Uptrick: Mean Reversion is optimized for these nimble environments, where rapid reversals can be captured before a larger trend takes hold.
Originality and Uniqueness
Uptrick: Mean Reversion stands out for several reasons:
Proprietary normalization framework
Instead of relying on raw oscillator values, it transforms momentum into a standardized scale. This ensures that extreme readings carry consistent meaning across different assets and volatility regimes.
Inflection-based signals
The indicator waits for a clear shift in momentum direction within extreme zones before plotting reversal markers. This approach reduces false signals compared to methods that rely solely on fixed threshold crossings.
Embedded divergence logic
Divergence detection is handled entirely within the same pane. Rather than requiring a separate indicator window, Uptrick: Mean Reversion identifies instances where price and internal momentum readings do not align and signals those setups directly on the chart.
Adjustable sensitivity profiles
Traders can choose from predefined risk profiles—ranging from very conservative to very aggressive—to automatically adjust how extreme a reading must be before triggering a signal. This customization helps balance between capturing only the most significant reversals or generating more frequent, smaller opportunities.
Multi-factor bias dashboard
While many indicators focus on a single metric, Uptrick: Mean Reversion aggregates five distinct sentiment measures. By balancing price-based bias, momentum conditions, and broader market context, it offers a more nuanced view of when to take—or avoid—countertrend trades.
Why Indicators Were Merged
Proprietary momentum oscillator
A custom-built oscillator rescales recent price movement into a normalized range. This core component underpins all signal logic and divergence checks, allowing extreme readings to be identified consistently.
Inflection detection
By comparing recent momentum values over a configurable lookback interval, the indicator identifies clear shifts from rising to falling momentum (and vice versa). These inflection points serve as a prerequisite for reversal signals when combined with extreme conditions.
Divergence framework
Local peaks and troughs are identified within the normalized oscillator and compared to corresponding price highs and lows. When momentum peaks fail to follow price to new extremes (or vice versa), a divergence alert appears, suggesting weakening momentum ahead of a price turn.
Classic price bias
Recent bar structures are examined to infer whether the immediate past price action was predominantly bullish, bearish, or neutral. This provides one piece of the overall sentiment picture.
Smoothed oscillator bias
A secondary oscillator reading is smoothed and compared to a central midpoint to generate a simple bullish or bearish reading.
Range-based oscillator bias
A familiar range-bound oscillator is used to detect oversold or overbought readings, contributing to the sentiment score.
Classic momentum crossover bias
A traditional momentum check confirms whether momentum currently leans bullish or bearish.
External market trend bias
The indicator monitors a major currency’s short-term trend to gauge broader market risk appetite. A falling currency—often associated with higher risk tolerance—contributes a bullish bias point, while a rising currency adds a bearish point.
All these elements run concurrently. Each piece provides a “vote” toward an overall sentiment reading. At the same time, the proprietary momentum oscillator drives both extreme-zone detection and divergence identification. By merging these inputs, the final result is a single pane showing both precise reversal signals and a unified market bias.
How It Works
At runtime, the indicator proceeds through the following conceptual steps:
Read user inputs (risk profile, lookback index, visual mode, color scheme, background highlighting, bias table display, divergence toggles).
Fetch the latest price data.
Process recent price movement through a proprietary normalization engine to produce a single, standardized momentum reading for each bar.
Track momentum over a configurable lookback interval to detect shifts in direction.
Compare the current momentum reading to dynamically determined extreme thresholds (based on the chosen risk profile).
If momentum has flipped from down to up within an oversold area, display a discrete buy marker. If momentum flips from up to down within an overbought area, display a sell marker.
Identify local peaks and troughs in the proprietary momentum series and compare to price highs and lows over a configurable range. When divergence criteria are met, display bullish or bearish divergence labels
Evaluate five independent sentiment measures—price bar bias, smoothed oscillator bias, range oscillator bias, traditional momentum crossover bias, and an external market trend bias—and assign each a +1 (bullish), –1 (bearish), or 0 (neutral) vote.
Average the five votes to produce an overall sentiment score. If the average exceeds a positive threshold, label the bias as bullish; if it falls below a negative threshold, label it as bearish; otherwise label it neutral.
Update the on-screen bias table at regular intervals, showing each individual metric’s value and vote, as well as the combined sentiment label.
Apply color fills to highlight extreme zones in the background and draw horizontal guideline bands around those extremes.
In complex visual mode, draw a cloud-like band that instantly changes color when momentum shifts. In simple mode, plot only a clean line of the normalized reading in a contrasting color.
Expose alert triggers whenever a buy/sell signal, divergence confirmation, or bias flip occurs, for use in automated notifications.
Inputs
Here is how each input affects the indicator:
Trading Style (very conservative / conservative / neutral / aggressive / very aggressive)
Determines how sensitive the indicator is to extreme readings. Conservative settings require more pronounced market deviations before signaling a reversal; aggressive settings signal more frequently at smaller deviations.
Slope Detection Index (integer)
Controls how many bars back the indicator looks to compare momentum for inflection detection. Lower numbers respond more quickly but can be noisy; higher numbers smooth out short-term fluctuations.
Visual Mode (simple / complex)
Simple mode plots only the normalized momentum line, colored according to the chosen palette. Complex mode draws a candle-style block for each bar—showing the range of momentum movement within that bar—with colored fills that switch instantly when momentum direction changes.
Color Scheme (multiple themes)
Select from preset color palettes to style bullish vs. bearish elements (fills, lines, labels). Options include bright neon tones, classic contrasting pairs, dark-mode palettes, and more, ensuring signals stand out against any chart background.
Enable Background Highlighting (true / false)
When true, extreme overbought or oversold zones are shaded in a semi-transparent color behind the main pane. This helps traders “see” when the market is in a normalized extreme state without relying solely on lines or markers.
Show Helper Scale Lines (true / false)
When true, hidden horizontal lines force the vertical scale to include a fixed range of extreme values—even if the indicator rarely reaches them—so traders always know where the most extreme limits lie.
Enable Divergence Detection (true / false)
Toggles whether the script looks for divergences between price and the proprietary momentum reading. When enabled, bullish/bearish divergence markers appear automatically whenever defined conditions are met.
Pivot Lookback Left & Pivot Lookback Right (integers)
Define how many bars to the left and right the indicator examines when identifying a local peak or trough in the momentum reading. Adjust these to capture divergences on different swing lengths.
Minimum and Maximum Bars Between Pivots (integers)
Set the minimum and maximum number of bars allowed between two identified peaks or troughs for a valid divergence. This helps filter out insignificant or overly extended divergence patterns.
Show Bias Table (true / false)
When enabled, displays a small table in the upper-right corner summarizing five independent sentiment votes and the combined bias label. Disable to keep the pane focused on only the momentum series and signals.
Features
1. Extreme-zone highlighting
Overbought and oversold areas appear as colored backgrounds when the proprietary momentum reading crosses dynamically determined thresholds. This gives an immediate visual cue whenever the market moves into a highly extreme condition.
2. Discrete reversal markers
Whenever momentum shifts direction within an extreme zone, the indicator plots a concise “Buy” or “Sell” label directly on the normalized series. These signals combine both extreme-zone detection and inflection confirmation, reducing false triggers.
3. Dynamic divergence flags
Local peaks and troughs of the proprietary momentum reading are continuously compared to corresponding price points. Bullish divergence (momentum trough rising while price trough falls) and bearish divergence (momentum peak falling while price peak rises) are flagged with small labels and lines. These alerts help traders anticipate reversals before price charts show clear signals.
4. Multi-factor sentiment dashboard
Five independent “votes” are tallied each bar:
• Price bar bias (based on recent bar structure)
• Smoothed oscillator bias (based on a popular momentum oscillator)
• Range oscillator bias (based on an overbought/oversold oscillator)
• Traditional momentum crossover bias (whether momentum is above or below its own smoothing)
• External market trend bias (derived from a major currency index’s short-term trend)
Each vote is +1 (bullish), –1 (bearish), or 0 (neutral). The average of these votes produces an overall sentiment label (Bullish, Bearish, or Neutral). The table updates periodically, showing each metric’s value, its vote, and the combined bias.
5. Versatile visual modes
Simple mode: Plots a single normalized momentum line in a chosen color. Ideal for clean charts.
Complex mode: Renders each bar’s momentum range as a candle-like block, with filled bodies that immediately change color when momentum direction flips. Edge lines emphasize the high/low range of momentum for that bar. This mode makes subtle momentum shifts visually striking.
6. Configurable sensitivity profiles
Five risk profiles (very conservative → very aggressive) automatically adjust how extreme the momentum reading must be before signaling. Conservative traders can wait for only the most dramatic reversals, while aggressive traders can capture more frequent, smaller mean-reversion moves.
7. Customizable color palettes
Twenty distinct color themes let users match the indicator to any chart background. Each theme defines separate colors for bullish fills, bearish fills, the momentum series, and divergence labels. Options range from classic contrasting pairs to neon-style palettes to dark-mode complements.
8. Unified plotting interface
Instead of scattering multiple indicators in separate panes, Uptrick: Mean Reversion consolidates everything—normalized momentum, background shading, threshold bands, reversal labels, divergence flags, and bias table—into a single indicator pane. This reduces screen clutter and places all relevant information in one view.
9. Built-in alert triggers
Six alert conditions are exposed:
Mean reversion buy signal (momentum flips in oversold zone)
Mean reversion sell signal (momentum flips in overbought zone)
Bullish divergence confirmation
Bearish divergence confirmation
Bias flip to bullish (when combined sentiment shifts from non-bullish to bullish)
Bias flip to bearish (when combined sentiment shifts from non-bearish to bearish)
Traders can attach alerts to any of these conditions to receive real-time notifications.
10. Scale anchoring
By forcing invisible horizontal lines at fixed extreme levels, the indicator ensures that the vertical axis always includes those extremes—even if the normalized reading rarely reaches them. This constant frame of reference helps traders judge how significant current readings are.
Line features:
Conclusion
Uptrick: Mean Reversion offers a layered, all-in-one approach to spotting countertrend opportunities. By converting price movement into a proprietary normalized momentum scale, it highlights extreme overbought and oversold zones. Inflection detection within those extremes produces clear reversal markers. Embedded divergence logic calls out hidden momentum weaknesses. A five-factor sentiment dashboard helps gauge whether a reversal signal aligns with broader market context. Users can tailor sensitivity, visual presentation, and color schemes, making it equally suitable for minimalist or richly detailed chart layouts. Optimized for lower timeframes, Uptrick: Mean Reversion helps traders anticipate statistically significant mean reversion moves.
Disclaimer
This indicator is provided for informational purposes only. It does not guarantee any trading outcome. Trading carries inherent risks, including the potential loss of invested capital. Users should perform their own due diligence, apply proper risk management, and consult a financial professional if needed. Past performance does not ensure future results.
EMAS
MestreDoFOMO RENKO Sushy System v6🔍 What is this script?
The MestreDoFOMO RENKO Sushy System is a visual tool developed to help traders better interpret the market trend based on a Renko logic adapted to traditional candlestick charts.
It does not use TradingView's native Renko chart, but rather a simulation of Renko behavior, calculated dynamically in real time, adapting to the percentage movement of the price.
🧠 How does it work?
The script uses a Renko simulation with an adjustable percentage base (Renko Size), allowing the trader to define the size of the virtual "blocks" or "bricks" in % of the price. This logic creates a dynamic trend line that changes direction only when there is a sufficient variation in the price — filtering out noise and helping to focus on the prevailing direction.
When a change in direction occurs, a visual signal is displayed on the chart:
💲 Buy signal, when the trend changes from bearish to bullish
👹 Sell signal, when the trend changes from bullish to bearish
These signals are not automatic trading alerts, but rather visual periodic signals based on the internal logic of the system.
📈 Why do we include EMAs (20, 50 and 200)?
Exponential moving averages (EMAs) are widely used in technical analysis as supporting tools for understanding market structure:
EMA 20: A short-term indicator, useful for capturing recent movements.
EMA 50: Considered an interactive trend average, often used as dynamic support/resistance.
EMA 200: A long-term reference, often used to identify the "bigger direction" of the market.
EMAs are indicated in the script and can be enabled or disabled according to the user's preference. They are not part of the signal logic — they serve only as visual and contextual support to assist the trader's manual analysis.
📋 Included features
✅ Renko logic adapted to the candlestick chart, with sensitivity control in %
✅ Trend line based on the current Renko direction
✅ Visual signals of trend change (buy/sell)
✅ Option to enable/disable EMAs 20, 50 and 200
✅ Information panel with trend status, EMA values and current parameters
✅ Customizable trend change alerts
✅ Background color to strengthen the direction (green = high, red = low)
🛠 How to use?
Choose the timeframe: Works best on timeframes longer than 1 hour (e.g. 1H, 4H, Daily).
Adjust the Renko size (%): Try starting with 1% and adjusting according to the asset (crypto, forex, etc.).
Decide whether to use EMAs: Only activate if you want additional context.
Observe the signals and the trend line: They are useful for detecting possible reversals or confirmations of movement.
Combine with other elements: This system is a support tool. For best results, use it in conjunction with price action, liquidity zones or other complementary indicators.
⚠️ Important notice
This script does not execute orders or make automatic decisions. It is an educational and visual tool created to help read the trend in a clean and simple way.
No guarantee of past or future performance is provided. Use is at the sole risk of the user.
3 EMA + SupertrendThree EMAs: Helps you identify the general trend direction and potential crossovers.
When the Fast EMA crosses above the Medium or Slow EMAs, it may indicate a bullish trend, and vice versa for bearish trends.
Supertrend: Works as a trend filter. You can use it to identify overall market conditions:
When the Supertrend is green, it indicates an uptrend.
When the Supertrend is red, it indicates a downtrend.
Combination: The EMAs help you confirm the trend, and the Supertrend can act as a filter or confirmation tool for your entries and exits.
Potential Strategy Idea:
Long Entry: When the Fast EMA crosses above the Medium EMA, and the Supertrend is green.
Short Entry: When the Fast EMA crosses below the Medium EMA, and the Supertrend is red.
Exit: You can use either the Supertrend turning from green to red (for long exits) or vice versa.
EMA Pullback Speed Strategy 📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
Chandelier Exit + EMA Filtered SignalsThis script is a powerful upgrade to the original Chandelier Exit by Alex Orekhov (everget), combining trend-following logic with higher-quality trade filtering.
✅ Key Features:
Chandelier Exit logic with ATR-based stop levels
Buy/Sell signals only when trend is confirmed:
Buy: Price must be above EMA 13, 50, and 200
Sell: Price must be below EMA 13, 50, and 200
Candle highlighting: Green for Buy, Red for Sell
Signal labels for visual clarity
Toggle to show/hide EMAs
Built-in alerts for:
Buy signal
Sell signal
Trend direction change
🛠️ Inputs:
ATR Period and Multiplier
Toggle: Use Close Price for High/Low Calculation
Toggle: Show/Hide Labels and State Highlight
Toggle: Show/Hide EMA 13, 50, 200
Toggle: Await confirmed bar for alerts
🔔 Alerts Included:
Chandelier Exit Buy
Chandelier Exit Sell
Direction Change (long to short or vice versa)
💡 How to Use:
Use on trending assets (e.g., Gold, Indices, Crypto).
Combine with support/resistance or session filters for optimal results.
Enable alerts to be notified on trade setups.
📢 Credits:
Based on the original Chandelier Exit script by everget.
Enhancements by AP Capital for filtered signals and better visual feedback.
HiLo EMA Custom bandsHILo Ema custom bands
This advanced technical indicator is a powerful variation of "HiLo Ema squeeze bands" that combines the best elements of Donchian channels and EMAs. It's specially designed to identify price squeezes before significant market moves while providing dynamic support/resistance levels and predictive price targets.
Indicator Concept:
The indicator initializes EMAs at each new high or low - the upper EMA tracks highs while the lower EMA tracks lows. It draws maximum of 6 custom bands based on percentage, fixed value or Atr
Upper EM bands are drawn below uper ema, Lower EMA bands are drawn above lower ema
Customizable Options:
Ema length: 200 default
Calculation type: Ema (Default), HILO
Calculation type: Percent,Fixed Value, ATR
Band Value: Percent/Value/ATR multiple This is value to use for calculation type
Band Selection: Both,Upper,Lower
Key Features:
You can choose to draw either of one or both, the latter can be overwhelming initially but as you get used to it, it becomes a powerful tool.
When both bands are selected, upper and lower bands provide provides dual references and intersections
This creates a more trend-responsive alternative to traditional Donchian channels with clearly defined zones for trade planning.
If you select percaentage, note that the calulation is based FROM the respective EMA bands. So bands from lower EMA band will appear narrower compared to the those drawn from upper EMA band
Price targets or reversals:
Look of alignment of lines and price. The current level of one order could align with that of previous level of a different order because often markets move in steps
Settings Guide:
Recommended Settings:
Ema length: 200
Use one of the bands (not both) if using large length of say 1000
Calculation type: EMA
HILO will draw donchian like bands, this is useful if you only want flat price levels. In a rising market use upper and vise versa
Calculation type:
percentage for indices : 5, for symbols 10 or higher based on symbol volatility
Fixed value: about 10% of symbol value converted to value
Atr: 2 ideally
Perfect for swing traders and position traders looking for a more sophisticated volatility-based overlay that adapts to changing market conditions and provides predictive reversal levels.
Note: This indicator works well across multiple timeframes but is especially effective on H4, Daily and Weekly charts for trend trading.
HILo Ema Double Squeeze BandsHILo Ema Double Squeeze Bands
This advanced technical indicator is a powerful variation of "HiLo Ema squeeze bands" that combines the best elements of Donchian channels and EMAs. It's specially designed to identify price squeezes before significant market moves while providing dynamic support/resistance levels and predictive price targets.
Indicator Concept:
The indicator initializes EMAs at each new high or low - the upper EMA tracks highs while the lower EMA tracks lows. The price range between upper and lower bands is divided into 4 equal zones by these lines:
Upper2 (uppermost line)
Upper1 (upper quartile)
Middle (center line)
Lower1 (lower quartile)
Lower2 (lowermost line)
This creates a more trend-responsive alternative to traditional Donchian channels with clearly defined zones for trade planning.
Key Features:
Dual EMA Band System: Utilizes both short-term and long-term EMAs to create adaptive price channels that respond to different market cycles
Quartile Divisions: Each band set includes middle lines and quartile divisions for more precise entry and exit points
Customizable Parameters: Easily adjust EMA periods and display options to suit your trading style and timeframe
Visual Color Zones: Clear color-coded zones help quickly identify bullish and bearish areas
Optional Extra Divisions: Add more granular internal lines (eighth divisions) for enhanced precision with longer EMA periods
Price Labels Option: Display exact price values for key levels directly on the chart
Price Target Prediction:
One of the most valuable features of this indicator is its ability to help predict potential reversal points:
When price breaks above the Upper2 level, look for potential reversals when the new Upper1 or Middle line aligns with previous Upper2 levels
When price breaks below the Lower2 level, look for potential reversals when the new Lower1 or Middle line aligns with previous Lower2 levels
Settings Guide:
Recommended Settings: 200 for Short EMA, 1000 for Long EMA works extremely well across most timeframes and symbols
Display options allow you to show/hide either band system based on your analysis preferences
The new option to divide the long EMA range into 8 parts instead of 4 is particularly useful when:
Long EMA period is >500
Short EMA is switched off and long EMA is used independently
Perfect for swing traders and position traders looking for a more sophisticated volatility-based overlay that adapts to changing market conditions and provides predictive reversal levels.
Note: This indicator works well across multiple timeframes but is especially effective on H4, Daily and Weekly charts for trend trading.
Cup & Handle Post-Breakout Correction FinderWhat This Script Tries to Do (Simple Summary)
Finds a Specific Setup: It looks for stocks that might be getting ready to move up again after a specific sequence:
A big "Cup & Handle" breakout happened 1-3 years ago.
The stock then pulled back (corrected) for at least a few months (~4 months by default) without crashing too hard (less than 35% drop by default).
The main weekly moving averages are now tightly bunched together (suggesting a pause or "squeeze").
The price just crossed above its 200-day moving average (a potential positive sign).
The price hasn't already broken above the high point of the recent pullback.
The Signal: If all these conditions are met, it places a small, bright green circle below the price bar on your chart.
Reference Line: It also shows the 200-period moving average (usually the 200-week, as this script is best on Weekly charts) as a red line.
Best Way to Use It (Simple Guide)
Use on Daily or Weekly Charts: The script's settings (like pullback in weeks) make it more suitable for the Weekly timeframe.
Look for the Green Circle: This is the main signal that the script found a potential setup matching all its rules.
Don't Trade Blindly! The green circle is just an alert, not a guaranteed buy signal. It means "This stock might fit the pattern, check it out!".
Confirm with Your Eyes & Other Tools:
Does the chart look like the pattern the script is searching for (past breakout, recent pullback, current tightening)?
Switch to the Daily chart to see how the cross above the 200-day EMA looks. Is it clean?
Check the volume. Is buying interest picking up as the signal appears? (Good sign).
Consider the overall market trend. Is it a good time to be buying stocks?
Customize (Optional): You can adjust the settings (gear icon ⚙️) to make the rules stricter or looser (e.g., change the pullback duration, allowed drop percentage, EMA tightness).
Manage Risk: If you decide to trade based on this signal (after confirming it), always know where you'll place your stop-loss in case the pattern fails.
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation**
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## **📌 Feature Overview**
### **1. Bollinger Bands**
- **Basis Line**: 160-period SMA (adjustable)
- **Inner Bands**:
- **Upper**: Basis + 2× Standard Deviation
- **Lower**: Basis - 2× Standard Deviation
- **Outer Bands**:
- **Upper Top**: Basis + 3× Standard Deviation
- **Lower Low**: Basis - 3× Standard Deviation
- **Fill Effect**: Semi-transparent black fill between inner and outer bands
### **2. Exponential Moving Averages (EMAs)**
| Period | Purpose | Line Style |
|--------------|-----------------------------|------------------|
| **EMA 27** | Short-term trend | Thin line |
| **EMA 120** | Short-to-medium-term trend | Medium line |
| **EMA 200** | Medium-term trend | Medium line |
| **EMA 1120** | Ultra-long-term trend | Thick line |
---
## **⚙️ Parameter Settings**
### **Bollinger Bands**
| Parameter | Default | Description |
|---------------|---------|--------------------------------------|
| `length` | 160 | SMA calculation period |
| `mult` | 2.0 | Standard deviation multiplier (inner bands) |
| `multOuter` | 3.0 | Standard deviation multiplier (outer bands) |
| `offset` | 0 | Time offset for plots (±500 bars) |
### **Exponential Moving Averages (EMAs)**
| Parameter | Default | Description |
|-----------------|---------|---------------------------|
| `ema1Length` | 27 | EMA 1 period |
| `ema2Length` | 120 | EMA 2 period |
| `ema3Length` | 200 | EMA 3 period |
| `ema4Length` | 1120 | EMA 4 period |
---
## **📊 Use Cases**
### **1. Trend Confirmation**
- **Bullish Trend**: Price above EMA200 + Bollinger Band expansion
- **Bearish Trend**: Price below EMA200 + Bollinger Band expansion
### **2. Overbought/Oversold Signals**
- **Upper Band Touch**: Price reaches Upper Top → Potential overbought
- **Lower Band Touch**: Price reaches Lower Low → Potential oversold
### **3. Volatility Strategies**
- **Band Squeeze**: Narrowing gap between bands → Breakout warning
- **Band Expansion**: Price breaks outer band → Trend acceleration
---
**✅ Summary**
This indicator combines **Bollinger Bands + Multi-period EMAs** for:
- Trend tracking
- Volatility analysis
- Multi-timeframe strategies
---
# **BBands Channels with EMAs 指標說明**
---
## **📌 功能概述**
### **1. 布林通道 (Bollinger Bands)**
- **基礎線 (Basis Line)**: 160週期SMA（可調整）
- **內通道 (Inner Bands)**:
- 上軌 (Upper): 基礎線 + 2倍標準差
- 下軌 (Lower): 基礎線 - 2倍標準差
- **外通道 (Outer Bands)**:
- 上外軌 (Upper Top): 基礎線 + 3倍標準差
- 下外軌 (Lower Low): 基礎線 - 3倍標準差
- **填充效果**: 內外通道間半透明黑色填充
### **2. 指數移動平均線 (EMAs)**
| 週期 | 用途 | 線條樣式 |
|-------------|-------------------|-----------------|
| **EMA 27** | 短期趨勢 | 細線 |
| **EMA 120** | 中短期趨勢 | 中等線 |
| **EMA 200** | 中期趨勢 | 中等線 |
| **EMA 1120**| 超長期趨勢 | 粗線 |
---
## **⚙️ 參數設定**
### **布林通道 (Bollinger Bands)**
| 參數名 | 預設值 | 說明 |
|-------------|--------|---------------------------|
| `length` | 160 | SMA計算週期 |
| `mult` | 2.0 | 內通道標準差倍數 |
| `multOuter` | 3.0 | 外通道標準差倍數 |
| `offset` | 0 | 線圖時間偏移（±500根K棒） |
### **指數移動平均線 (EMAs)**
| 參數名 | 預設值 | 說明 |
|----------------|---------|-------------------|
| `ema1Length` | 27 | 第一條EMA週期 |
| `ema2Length` | 120 | 第二條EMA週期 |
| `ema3Length` | 200 | 第三條EMA週期 |
| `ema4Length` | 1120 | 第四條EMA週期 |
---
## **📊 應用場景**
### **1. 趨勢確認**
- **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張
- **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張
### **2. 超買超賣信號**
- **觸及外軌**: 價格觸碰Upper Top → 可能超買
- **觸及下軌**: 價格觸碰Lower Low → 可能超賣
### **3. 波動率策略**
- **通道收窄**: 內外通道間距縮小 → 突破預警
- **通道擴張**: 價格突破外軌 → 趨勢加速
---
**✅ 總結**
本指標透過**布林通道+多週期EMA**的組合，適用於：
- 趨勢跟蹤
- 波動率分析
- 多時間框架策略
RTB - Momentum Breakout Strategy V3
📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations.
🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade.
⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Crypto EMA TableCrypto EMA Trend Scanner
A powerful tool for crypto traders to quickly identify trend strength across multiple timeframes
This indicator helps you spot potential trading opportunities by analyzing the EMA (Exponential Moving Average) alignment across four different timeframes. It displays a clean, color-coded table showing which cryptocurrencies are in a strong uptrend.
Key Features:
Multi-Timeframe Analysis: Simultaneously scan 3-minute, 15-minute, 1-hour, and 4-hour charts
Clear Visual Signals: Green cells indicate bullish EMA alignment (EMA 20 > EMA 50 > EMA 200)
Customizable Symbols: Track up to 3 different cryptocurrencies of your choice
Exchange Selection: Compatible with major exchanges (Bybit, Binance, Coinbase, Kraken, KuCoin, FTX)
Flexible Positioning: Place the table anywhere on your chart
How to Use:
Add the indicator to your chart
Select your preferred cryptocurrencies in the settings
Position the table where you want it
Look for green cells indicating EMA lineup.
Use this information to identify potential entry points or confirm your trading bias
Easy MA SignalsEasy MA Signals
Overview
Easy MA Signals is a versatile Pine Script indicator designed to help traders visualize moving average (MA) trends, generate buy/sell signals based on crossovers or custom price levels, and enhance chart analysis with volume-based candlestick coloring. Built with flexibility in mind, it supports multiple MA types, crossover options, and customizable signal appearances, making it suitable for traders of all levels. Whether you're a day trader, swing trader, or long-term investor, this indicator provides actionable insights while keeping your charts clean and intuitive.
Configure the Settings
The indicator is divided into three input groups for ease of use:
General Settings:
Candlestick Color Scheme: Choose from 10 volume-based color schemes (e.g., Sapphire Pulse, Emerald Spark) to highlight high/low volume candles. Select “None” for TradingView’s default colors.
Moving Average Length: Set the MA period (default: 20). Adjust for faster (lower values) or slower (higher values) signals.
Moving Average Type: Choose between SMA, EMA, or WMA (default: EMA).
Show Buy/Sell Signals: Enable/disable signal plotting (default: enabled).
Moving Average Crossover: Select a crossover type (e.g., MA vs VWAP, MA vs SMA50) for signals or “None” to disable.
Volume Influence: Adjust how volume impacts candlestick colors (default: 1.2). Higher values make thresholds stricter.
Signal Appearance Settings:
Buy/Sell Signal Shape: Choose shapes like triangles, arrows, or labels for signals.
Buy/Sell Signal Position: Place signals above or below bars.
Buy/Sell Signal Color: Customize colors for better visibility (default: green for buy, red for sell).
Custom Price Alerts:
Custom Buy/Sell Alert Price: Set specific price levels for alerts (default: 0, disabled). Enter a non-zero value to enable.
Set Up Alerts
To receive notifications (e.g., sound, popup, email) when signals or custom price levels are hit:
Click the Alert button (alarm clock icon) in TradingView.
Select Easy MA Signals as the condition and choose one of the four alert types:
MA Crossover Buy Alert: Triggers on MA crossover buy signals.
MA Crossover Sell Alert: Triggers on MA crossover sell signals.
Custom Buy Alert: Triggers when price crosses above the custom buy price.
Custom Sell Alert: Triggers when price crosses below the custom sell price.
Enable Play Sound and select a sound (e.g., “Bell”).
Set the frequency (e.g., Once Per Bar Close for confirmed signals) and create the alert.
Analyze the Chart
Moving Average Line: Displays the selected MA with color changes (green for bullish, red for bearish, gray for neutral) based on price position relative to the MA.
Buy/Sell Signals: Appear as shapes or labels when crossovers or custom price levels are hit.
Candlestick Colors: If a color scheme is selected, candles change color based on volume strength (high, low, or neutral), aiding in trend confirmation.
Why Use Easy MA Signals?
Easy MA Signals is designed to simplify technical analysis while offering advanced customization. It’s ideal for traders who want:
A clear visualization of MA trends and crossovers.
Flexible signal generation based on MA crossovers or custom price levels.
Volume-enhanced candlestick coloring to identify market strength.
Easy-to-use settings with tooltips for beginners and pros alike.
This script is particularly valuable because it combines multiple features into one indicator, reducing chart clutter and providing actionable insights without overwhelming the user.
Benefits of Easy MA Signals
Highly Customizable: Supports SMA, EMA, and WMA with adjustable lengths.
Offers multiple crossover options (VWAP, SMA10, SMA20, etc.) for tailored strategies.
Custom price alerts allow precise targeting of key levels.
Volume-Based Candlestick Coloring: 10 unique color schemes highlight volume strength, helping traders confirm trends.
Adjustable volume influence ensures adaptability to different markets.
Flexible Signal Visualization: Choose from various signal shapes (triangles, arrows, labels) and positions (above/below bars).
Customizable colors improve visibility on any chart background.
Alert Integration: Built-in alert conditions for crossovers and custom prices support sound, email, and app notifications.
Easy setup for real-time trading decisions.
User-Friendly Design: Organized input groups with clear tooltips make configuration intuitive.
Suitable for beginners and advanced traders alike.
Example Use Cases
Swing Trading with MA Crossovers:
Scenario: A trader wants to trade Bitcoin (BTC/USD) on a 4-hour chart using an EMA crossover strategy.
Setup:
Set Moving Average Type to EMA, Length to 20.
Set Moving Average Crossover to “MA vs SMA50”.
Enable Show Buy/Sell Signals and choose “arrowup” for buy, “arrowdown” for sell.
Select “Emerald Spark” for candlestick colors to highlight volume surges.
Usage: Buy when the EMA20 crosses above the SMA50 (green arrow appears) and volume is high (dark green candles). Sell when the EMA20 crosses below the SMA50 (red arrow). Set alerts for real-time notifications.
Scalping with Custom Price Alerts:
Scenario: A day trader monitors Tesla (TSLA) on a 5-minute chart and wants alerts at specific support/resistance levels.
Setup:
Set Custom Buy Alert Price to 150.00 (support) and Custom Sell Alert Price to 160.00 (resistance).
Use “labelup” for buy signals and “labeldown” for sell signals.
Keep Moving Average Crossover as “None” to focus on price alerts.
Usage: Receive a sound alert and label when TSLA crosses 150.00 (buy) or 160.00 (sell). Use volume-colored candles to confirm momentum before entering trades.
When NOT to Use Easy MA Signals
High-Frequency Trading: Reason: The indicator relies on moving averages and volume, which may lag in ultra-fast markets (e.g., sub-second trades). High-frequency traders may need specialized tools with real-time tick data.
Alternative: Use order book or market depth indicators for faster execution.
Low-Volatility or Sideways Markets:
Reason: MA crossovers and custom price alerts can generate false signals in choppy, range-bound markets, leading to whipsaws.
Alternative: Use oscillators like RSI or Bollinger Bands to trade within ranges.
This indicator is tailored more towards less experienced traders. And as always, paper trade until you are comfortable with how this works if you're unfamiliar with trading! We hope you enjoy this and have great success. Thanks for your interested in Easy MA Signals!
Multi-Timeframe Trend Analysis [BigBeluga]Multi-Timeframe Trend Analysis
A powerful trend-following dashboard designed to help traders monitor and compare trend direction across multiple higher timeframes. By analyzing EMA conditions from five customizable timeframes, this tool gives a clear visual breakdown of short- to long-term trend alignment.
🔵Key Features:
Multi-Timeframe EMA Dashboard:
➣ Displays a table in the top-right corner showing trend direction across 5 user-defined timeframes.
➣ Each row shows whether ema is rising or falling its corresponding EMA for that timeframe.
➣ Green arrows (🢁) indicate uptrends, purple arrows (🢃) signal downtrends.
Custom Timeframe Selection:
➣ Traders can input any 5 timeframes (e.g., 1h, 2h, 3h, etc.) with individual EMA lengths for flexible trend mapping.
➣ The tool auto-adjusts to match and align external timeframe EMAs to the current chart for seamless overlay.
Dynamic Chart Arrows:
➣ On-chart arrows mark when EMA rising or falling EMAs from the current chart timeframe.
➣ Each EMA arrows has a unique transparency level—shorter EMA arrows are more transparent, longer EMA arrows are more vivid. (Hover Mouse over the arrow to see which EMAs it is)
Gradient EMA Plotting:
➣ All five EMAs are plotted with gradually increasing opacity.
➣ Gradient fills between EMAs enhance visual structure, making it easier to track convergence/divergence.
🔵Usage:
Trend Confirmation: Use the dashboard to confirm multi-timeframe trend alignment before entering trades.
Entry Filtering: Avoid countertrend trades by spotting when higher timeframes disagree with the current one.
Momentum Insight: Track the transition of arrows from lighter to stronger opacity to visualize trend shifts over time.
Scalping or Swinging: Customize timeframes depending on your strategy—from intraday scalps to longer-term swings.
Multi-Timeframe Trend Analysis is the ultimate visual companion for traders who want clarity on how price behaves across multiple time horizons. With its smart EMA mapping and dashboard feedback, it keeps you aligned with dominant trend directions and transition zones at all times.
ADR Nivele Horizontale dhe EMAThe user provided a Pine Script code for an indicator called "ADR Nivele Horizontale dhe EMA". The task is to explain how this code works. Hmm, first, I need to understand what this indicator does. The title mentions ADR levels and EMA, so it's probably combining horizontal lines based on Average Daily Range and some Exponential Moving Averages.
Looking at the code, the first part is the indicator declaration with version 6. The settings include an ADR period, levels above and below the mid, and line style. Then there's a section for calculations. They request daily high and low to compute the daily range. The ADR is the SMA of the daily range over the specified period. The mid is the average of daily high and low. The adr_val is half of ADR, maybe to create symmetrical levels around the mid.
Next, they create arrays for lines and labels above and below the mid. The loops go from 1 to levels_above/below, calculate each level, draw lines and labels. The mid line is also drawn with a different color. Then, there are several EMAs plotted: 13, 50, 200, 400, 600, 800, each with different colorsWait, but in Pine Script, when you use arrays to store lines and labels, you have to manage them properly to avoid repainting or memory issues. The code uses array.concat to add new lines and labels each bar. However, since this code is running on each bar, the for loops might be creating multiple lines each time, leading to too many objects. Oh right, but they use var to initialize the arrays, so they are only initialized once. Wait, no. The var keyword initializes the variable once, but in each iteration, they are concatenating new lines. Wait, no: the for loops are inside the main script, which runs on each bar. So every time a new bar is processed, the loops will run again, adding new lines and labels. That's a problem because each bar would create new lines, leading to an ever-increasing number of lines, which could hit the maximum limit (max_lines_count is set to 20, but maybe they have more bars). Oh, the indicator has max_lines_count=20, but the code might be creating multiple lines per bar. So maybe the code isn't handling the line management correctly. For example, if levels_above is 2, then each bar would create 2 new lines above and 2 below, plus the mid line. Over 20 bars, that's way over 20 lines. So this could cause the indicator to stop drawing after 20 lines. The user might not have realized that the lines are being recreated every bar, leading to a buildup. But perhaps the original code intended to have the lines update each bar, extending to the current bar. Let's see: in line.new, they use bar_index as the starting x1 and bar_index as x2. So each line is drawn from the previous bar's index to the current one. But since this is done on every bar, each line is only one bar long. Wait, no. Because on each new bar, the code creates a new line from the previous bar's index (bar_index , which is now the bar before the current one) to the current bar_index. So each line is just a segment from the previous bar to the current bar. But when the next bar comes, a new line is created again. So the result is that each level line is a series of one-bar-length segments, which might not be intended. The user probably wants continuous lines that extend from the left to the right, not just per bar. So this approach is incorrect. The correct way would be to have a line that starts at the first bar of the calculation and extends to the right, updating each bar. But the current code creates a new line each bar, leading to multiple short lines instead of one continuous line. That's a mistake.
So the main issue here is that the code is generating a new line segment for each bar, which is not efficient and would quickly hit the line limit. To fix this, instead of creating a new line every bar, they should create the line once and then update its position each bar. But in Pine Script, you can't directly update a line after it's created; instead, you need to track the line ID and use line.set_xy() to extend it. However, the current code uses array.concat to add new lines each bar, which isn't the right approach.
Therefore, the code as written will create multiple short lines instead of continuous horizontal lines. The correct approach for horizontal levels that extend to the right is to create the line once, starting at a certain bar and extending indefinitely, or to update the line's end point each new bar. But in Pine Script, you can't extend lines infinitely; you have to manage them each bar. Alternatively, using the 'line.extend' style might help, but I think the original code's logic is flawed here.
Additionally, the EMA part is straightforward: plotting multiple EMAs with different periods. That part should work as expected.
So the explanation should mention that the ADR levels are calculated based on the daily high and low, then the code attempts to draw horizontal lines above and below the mid-point. However, the way the lines are drawn may lead to multiple short segments instead of continuous lines, potentially causing performance issues or hitting the maximum line count. The EMAs are plotted correctly with various periods..
HILo Ema Squeeze BandsThis indicator combines uses ema to identify price squeeze before a big move.
The ema gets initialised at new high low. It used 3 ema's lengths. For result use x, 2x ,4x ie 50, 100, 200 or 100,200,400 and so on . On more volatile asset use a higher settings like 100,200,400. The inner band is divided into 4 zones, which can give support resistance. As you use it you will become aware of subtle information that it can give at times. Like you may be able to find steps at which prices move, when the market is trending
Just like in Bollinger bands, in a trending market the price stays within sd=1 and sd=2 so does in the inner band the price will remain in band1 and band2. But Bollinger band cannot print steps this indicator shows steps
Crypto Strategy SUSDT 10 minThis strategy is designed to trade the **SUSDT** pair on a **10-minute time frame**, using a combination of an Exponential Moving Average (EMA) and percentage-based Stop Loss (SL) and Take Profit (TP) levels.
### How the strategy works:
1. **EMA Calculation**:
- The strategy calculates a 24-period Exponential Moving Average (EMA) based on the closing price.
- This EMA serves as the primary trend indicator.
2. **Entry Conditions**:
- **Long Position**: A long position is entered when the closing price is above the EMA and the opening price is below the EMA. This indicates a potential upward trend.
- **Short Position**: A short position is entered when the closing price is below the EMA and the opening price is above the EMA. This indicates a potential downward trend.
3. **Stop Loss and Take Profit**:
- Both Stop Loss (SL) and Take Profit (TP) are calculated based on the entry price of the position.
- **For Long Positions**:
- Stop Loss is set as a percentage below the entry price.
- Take Profit is set as a percentage above the entry price.
- **For Short Positions**:
- Stop Loss is set as a percentage above the entry price.
- Take Profit is set as a percentage below the entry price.
- The percentage values for SL and TP can be adjusted in the strategy's settings (default: SL = 2%, TP = 4%).
4. **Exit Conditions**:
- The position is closed automatically when either the Stop Loss or Take Profit level is reached.
5. **Visualization**:
- The 24-period EMA is plotted on the chart as a blue line, helping visualize the trend direction.
### Key Features:
- **Pair and Time Frame**: The strategy is optimized for the SUSDT pair on a 10-minute time frame.
- **Customizable Parameters**: Users can adjust the Stop Loss and Take Profit percentages to suit their risk tolerance and trading style.
- **Trend-Following Approach**: The strategy uses the EMA to identify and follow the current market trend.
This strategy is simple yet effective for capturing trends while managing risk through predefined Stop Loss and Take Profit levels.
Air Gap MTF with alert settingsWhat it shows:
This indicator will show a horizontal line at a price where each EMAs are on on different time frames, which will remove the effort of having to flick through different time frames or look at different chart.
The lines itself will move in real time as price moves and therefore as the EMA values changes so no need to manually adjustment the lines.
How to use it:
The price gap between each of the lines are known as "air gaps", which are essentially zones price can move with less resistance. Therefore bigger the airgap there is more likely more movement in price.
In other words, where lines are can be a resistance (or support) and can expect price stagnation or rejection.
On the chart it is clear to see lines are acting as resistances/supports.
Key settings:
The time frame are fixed to: 30min, 1hr and 4hr. This cannot be changed as of now.
EMA values for each time frame are user changeable in the settings, and up to 4 different values can be chosen for each time frame. Default is 5,12,34 and 50 for each timeframe.
Line colour, thickness and style can be user adjusted. Start point for where line will be drawn can be changed in the settings, either: start of day, user defined start or across the chart. In case of user defined scenario user can input a number that specifies a offset from current candle.
Label colour, font, alignment, text size and text itself can be user adjusted in the settings. Price can be also displayed if user chooses to do so. Position of label (offset from current candle) is user specified and can be adjusted by the user.
Both the lines and labels can be turned off (both and individually), for each lines.
Alert Settings:
Manually, user can set alerts for when price crosses a specific line.
This can be done by:
right click on any of line
choose first option (add alert on...)
On the second option under condition, use the dropdown menu to choose the desired EMA/timeframe to set alert for.
Hit "create" at bottom right of option
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If anything is not clear please let me know!
Multi-Timeframe EMA [TradeWithRon]Multi-Timeframe EMA Indicator
This indicator displays an Exponential Moving Average (EMA) from a higher timeframe on a lower timeframe chart. The EMA is a type of moving average that gives more weight to recent prices, making it more responsive to price changes compared to a Simple Moving Average (SMA). By overlaying a higher timeframe EMA on a lower timeframe chart, you can gain insights into the broader trend while analyzing price action at a more granular level.
🔶 FEATURES
* 5 MTF EMA with price and timeframe labels
* Smoothing: Alter the smoothness of the back-end EMA calculations.
* VWAP
Why Use EMA
Trend Identification: When the price is above the EMA, it suggests an uptrend, while a price below the EMA indicates a downtrend. The steeper the slope of the EMA, the stronger the trend.
Crossovers : A common strategy is to look for crossovers, such as when a short-term EMA crosses above a long-term EMA, signaling a potential buying opportunity (bullish crossover), or when a short-term EMA crosses below a long-term EMA, signaling a potential selling opportunity (bearish crossover).
Support and Resistance : EMAs can act as dynamic support and resistance levels. In an uptrend, the price may bounce off the EMA as support, while in a downtrend, it can act as resistance.
Convergence and Divergence: Traders look for divergences between price and the EMA to spot potential trend reversals. For example, if price makes a new high but the EMA doesn't, it could signal weakening momentum.
Overall, the EMA helps traders follow the market trend, spot potential reversals, and make more informed trading decisions.
After EMA Crosses you may experience A MSS, CISD, SFP. You can use all of these as confluence for a higher probability trade. This is a good way to capitalize on a trade
Another Case
How I Personally Use It:
Shortest EMA ( Example: 10 EMA ) = Entry
Middle EMA ( Example: 50 EMA ) = Short Term Support / Resistance
Longest EMA ( Example: 100 EMA ) = Long Term Support / Resistance
• WARNING
- If your MAIN chart TimeFrame its lower than ( selected TimeFrame ) the Table will not display signals
- Historical Data Unavailable for this resolution is under 2 minute chart, So you will have to use 2 minute and higher
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Forward-Backward Exponential Oscillator [LuxAlgo]The Forward-Backward Exponential Oscillator is a normalized oscillator able to estimate directional shifts by making use of a unique "Forward-Backward Filtering" calculation method for Exponential Moving Averages (EMAs).
This unique method provides a smooth normalized representation of the price with reduced lag.
🔶 USAGE
The oscillator consists of 2 series of values derived from normalizing the sum of each EMA's change across the selected user lookback window (length), one less reactive computed forward (in grey), and the other re-calculated backward for each bar (in blue).
Given this "Forward-Backwards" calculation method, we are able to produce a more reactive oscillator compared to the same operation done on a simple double-smoothed EMA.
The interaction between these 2 values (Forward Value and Backward Value) can highlight shifts in market momentum over time.
When the Forward Value is above the Backward Value, the price is seen moving up, and likewise, when the Forward EMA is below, the Backward EMA price is seen moving down.
The indicator specifically displays the difference between values through a histogram located at the 50 mark on the oscillator.
🔹 Projection
We project the approximated future values of the forward value in front of the current line. This helps show the data that is being used for the creation of the Forward Value.
🔹 Length & Smoothing
The Smoothing Input controls the length of the EMAs which are analyzed.
The Length Input controls the lookback for the sum of changes from the EMAs.
Displayed below is a comparison of varying input sizes and their results.
As seen above:
A larger length input will result in slower, gradual movement by the oscillator since the summed values are from a larger lookback.
A higher smoothing setting will result in smoother EMAs, leading to a smoother oscillator output that is less contaminated by noisy variations.
Note: The length of the projection is tied to the "length" input, to get a longer projection, a larger length is required.
🔶 DETAILS
Forward-backward filtering is a method applied to LTI (linear time-invariant) filters to provide a filter response with zero-phase shift, this has the visible effect of shifting a regular causal filter response to the right, making it appear has have effectively 0 lag.
The name of this operation indicates that the filter is first calculated forward over a series of values (like regular moving averages), then calculated backward, using the previous output as input for the filter, effectively applying the filter twice.
While this operation effectively allows us to obtain a zero-lag response when applied to an EMA, it is subject to repainting, as this indicator only returns the normalized sum of changes of the forward-backward EMA, which does not introduce any repainting behaviors in the final output of the oscillator.
🔶 SETTINGS
Length: Change the calculation lookback length for the oscillator.
Smoothing: Alter the smoothness of the back-end EMA calculations.
Source: Change the source input used for the indicator.
Smoothed EMA LinesThe "Smoothed EMA Lines" script is a technical analysis tool designed to help traders identify trends and potential support/resistance levels in financial markets. The script plots exponential moving averages (EMAs) of the closing price for five commonly used time periods: 8, 13, 21, 55, and 200.
Key features of the script include:
Overlay: The EMAs are plotted directly on the price chart, making it easy to analyze the relationship between the moving averages and price action.
Smoothing: The script applies an additional smoothing function to each EMA, using a simple moving average (SMA) of a user-defined length. This helps to reduce noise and provide a clearer picture of the trend.
Customizable lengths: Users can easily adjust the length of each EMA and the smoothing period through the script's input parameters.
Color-coded plots: Each EMA is assigned a unique color (8: blue, 13: green, 21: orange, 55: red, 200: purple) for easy identification on the chart.
Traders can use the "Smoothed EMA Lines" script to:
Identify the overall trend direction (bullish, bearish, or neutral) based on the arrangement of the EMAs.
Spot potential support and resistance levels where the price may interact with the EMAs.
Look for crossovers between EMAs as potential entry or exit signals.
Combine the EMA analysis with other technical indicators and price action patterns for a more comprehensive trading strategy.
The "Smoothed EMA Lines" script provides a clear, customizable, and easy-to-interpret visualization of key exponential moving averages, helping traders make informed decisions based on trend analysis.
MTF Moving Averages (only EMA)MTF Moving Averages (only EMA)
This script provides a Multi-Timeframe (MTF) Exponential Moving Average (EMA) indicator for traders to visualize multiple EMAs across different timeframes directly on a single chart.
The indicator dynamically calculates and plots up to four EMAs per timeframe (15-minute, 30-minute, 1-hour, and Daily) with user-defined lengths, offering valuable insight into price trends and potential entry or exit points.
Key Features:
Multiple Timeframe Support: The script allows you to view EMAs from different timeframes simultaneously. This is especially useful for traders who follow trends across different timeframes to make more informed decisions.
Customizable Lengths: For each timeframe, the lengths of the EMAs are fully customizable. You can adjust the length of up to four EMAs per timeframe to suit your strategy.
EMA Calculation: The Exponential Moving Average (EMA) is used, which gives more weight to recent prices and reacts faster to price changes compared to the simple moving average (SMA).
Timeframe Flexibility: The indicator supports the following timeframes:
15-minute: Ideal for short-term traders and scalpers.
30-minute: For intraday trading with a slightly longer perspective.
1-hour: Suitable for swing traders and those who prefer a more medium-term view.
Daily: Great for longer-term trend-following strategies.
Interactive and User-Friendly: You can toggle the visibility of each EMA on each timeframe, allowing you to choose exactly which EMAs you wish to display, depending on your trading strategy.
Color-Coded for Clarity: The script uses distinct colors for each EMA on the chart:
Blue: EMA1
Green: EMA2
Red: EMA3
Purple: EMA4
Line Width Customization: Each plotted EMA line has a customizable width for better visual clarity.
Use Case:
Traders who use multiple timeframes for analysis (e.g., those using the "multi-timeframe analysis" technique) will find this script particularly useful. For example, a trader may look at the 15-minute chart to catch short-term movements, the 30-minute chart for intraday trends, the 1-hour chart for swing positions, and the Daily chart for identifying the overarching market trend. The script enables them to view the EMAs for all these timeframes in one glance without having to manually switch between them.
By observing the relationships between EMAs across multiple timeframes, traders can gain valuable insights into market conditions such as:
Crossovers: When a shorter-term EMA crosses above or below a longer-term EMA, it can signal a potential trend reversal or continuation.
Trend Strength: Multiple EMAs in alignment across different timeframes can indicate strong trend strength.
Support and Resistance: EMAs can act as dynamic support and resistance levels, guiding traders on price action levels to watch for potential price reversals.
Instructions:
Enable/Disable EMAs: Toggle on or off the EMAs for each timeframe (15-min, 30-min, 1-hour, Daily) using the script’s settings.
Adjust EMA Lengths: Change the default lengths for each EMA to match your preferred settings for different timeframes.
Monitor Key Levels: Watch how price interacts with the plotted EMAs to spot potential trading signals based on your strategy.
This indicator is designed to enhance your multi-timeframe analysis and help make more informed, data-driven trading decisions.
[COG]TMS Crossfire 🔍 TMS Crossfire: Guide to Parameters
📊 Core Parameters
🔸 Stochastic Settings (K, D, Period)
- **What it does**: These control how the first stochastic oscillator works. Think of it as measuring momentum speed.
- **K**: Determines how smooth the main stochastic line is. Lower values (1-3) react quickly, higher values (3-9) are smoother.
- **D**: Controls the smoothness of the signal line. Usually kept equal to or slightly higher than K.
- **Period**: How many candles are used to calculate the stochastic. Standard is 14 days, lower for faster signals.
- **For beginners**: Start with the defaults (K:3, D:3, Period:14) until you understand how they work.
🔸 Second Stochastic (K2, D2, Period2)
- **What it does**: Creates a second, independent stochastic for stronger confirmation.
- **How to use**: Can be set identical to the first one, or with slightly different values for dual confirmation.
- **For beginners**: Start with the same values as the first stochastic, then experiment.
🔸 RSI Length
- **What it does**: Controls the period for the RSI calculation, which measures buying/selling pressure.
- **Lower values** (7-9): More sensitive, good for short-term trading
- **Higher values** (14-21): More stable, better for swing trading
- **For beginners**: The default of 11 is a good balance between speed and reliability.
🔸 Cross Level
- **What it does**: The centerline where crosses generate signals (default is 50).
- **Traditional levels**: Stochastics typically use 20/80, but 50 works well for this combined indicator.
- **For beginners**: Keep at 50 to focus on trend following strategies.
🔸 Source
- **What it does**: Determines which price data is used for calculations.
- **Common options**:
- Close: Most common and reliable
- Open: Less common
- High/Low: Used for specialized indicators
- **For beginners**: Stick with "close" as it's most commonly used and reliable.
🎨 Visual Theme Settings
🔸 Bullish/Bearish Main
- **What it does**: Sets the overall color scheme for bullish (up) and bearish (down) movements.
- **For beginners**: Green for bullish and red for bearish is intuitive, but choose any colors that are easy for you to distinguish.
🔸 Bullish/Bearish Entry
- **What it does**: Colors for the entry signals shown directly on the chart.
- **For beginners**: Use bright, attention-grabbing colors that stand out from your chart background.
🌈 Line Colors
🔸 K1, K2, RSI (Bullish/Bearish)
- **What it does**: Controls the colors of each indicator line based on market direction.
- **For beginners**: Use different colors for each line so you can quickly identify which line is which.
⏱️ HTF (Higher Timeframe) Settings
🔸 HTF Timeframe
- **What it does**: Sets which higher timeframe to use for filtering (e.g., 240 = 4 hour chart).
- **How to choose**: Should be at least 4x your current chart timeframe (e.g., if trading on 15min, use 60min or higher).
- **For beginners**: Start with a timeframe 4x higher than your trading chart.
🔸 Use HTF Filter
- **What it does**: Toggles whether the higher timeframe filter is applied or not.
- **For beginners**: Keep enabled to reduce false signals, especially when learning.
🔸 HTF Confirmation Bars
- **What it does**: How many bars must confirm a trend change on higher timeframe.
- **Higher values**: More reliable but slower to react
- **Lower values**: Faster signals but more false positives
- **For beginners**: Start with 2-3 bars for a good balance.
📈 EMA Settings
🔸 Use EMA Filter
- **What it does**: Toggles price filtering with an Exponential Moving Average.
- **For beginners**: Keep enabled for better trend confirmation.
🔸 EMA Period
- **What it does**: Length of the EMA for filtering (shorter = faster reactions).
- **Common values**:
- 5-13: Short-term trends
- 21-50: Medium-term trends
- 100-200: Long-term trends
- **For beginners**: 5-10 is good for short-term trading, 21 for swing trading.
🔸 EMA Offset
- **What it does**: Shifts the EMA forward or backward on the chart.
- **For beginners**: Start with 0 and adjust only if needed for visual clarity.
🔸 Show EMA on Chart
- **What it does**: Toggles whether the EMA appears on your main price chart.
- **For beginners**: Keep enabled to see how price relates to the EMA.
🔸 EMA Color, Style, Width, Transparency
- **What it does**: Customizes how the EMA line looks on your chart.
- **For beginners**: Choose settings that make the EMA visible but not distracting.
🌊 Trend Filter Settings
🔸 Use EMA Trend Filter
- **What it does**: Enables a multi-EMA system that defines the overall market trend.
- **For beginners**: Keep enabled for stronger trend confirmation.
🔸 Show Trend EMAs
- **What it does**: Toggles visibility of the trend EMAs on your chart.
- **For beginners**: Enable to see how price moves relative to multiple EMAs.
🔸 EMA Line Thickness
- **What it does**: Controls how the thickness of EMA lines is determined.
- **Options**:
- Uniform: All EMAs have the same thickness
- Variable: Each EMA has its own custom thickness
- Hierarchical: Automatically sized based on period (longer periods = thicker)
- **For beginners**: "Hierarchical" is most intuitive as longer-term EMAs appear more dominant.
🔸 EMA Line Style
- **What it does**: Sets the line style (solid, dotted, dashed) for all EMAs.
- **For beginners**: "Solid" is usually clearest unless you have many lines overlapping.
🎭 Trend Filter Colors/Width
🔸 EMA Colors (8, 21, 34, 55)
- **What it does**: Sets the color for each individual trend EMA.
- **For beginners**: Use a logical progression (e.g., shorter EMAs brighter, longer EMAs darker).
🔸 EMA Width Settings
- **What it does**: Controls the thickness of each EMA line.
- **For beginners**: Thicker lines for longer EMAs make them easier to distinguish.
🔔 How These Parameters Work Together
The power of this indicator comes from how these components interact:
1. **Base Oscillator**: The stochastic and RSI components create the main oscillator
2. **HTF Filter**: The higher timeframe filter prevents trading against larger trends
3. **EMA Filter**: The EMA filter confirms signals with price action
4. **Trend System**: The multi-EMA system identifies the overall market environment
Think of it as multiple layers of confirmation, each adding more reliability to your trading signals.
💡 Tips for Beginners
1. **Start with defaults**: Use the default settings first and understand what each element does
2. **One change at a time**: When customizing, change only one parameter at a time
3. **Keep notes**: Write down how each change affects your results
4. **Backtest thoroughly**: Test any changes on historical data before trading real money
5. **Less is more**: Sometimes simpler settings work better than complicated ones
Remember, no indicator is perfect - always combine this with proper risk management and other forms of analysis!
