OneTrend EMAThis strategy uses exponential moving averages (EMA) to define market trend direction and employs a dynamic ATR-based threshold adjusted by a custom ADX calculation to generate bullish (blue) and bearish (pink) zones. It enters long positions when the fast EMA exceeds the threshold (blue zone) and exits when it falls below the threshold (pink zone), providing clear, rule-based signals for trend-following trades. Pros include adaptive thresholding that reflects market volatility and trend strength, while cons are potential lag in sideways or choppy markets and susceptibility to whipsaws in volatile conditions.
Média Móvel Exponencial (MME)
Advanced MACD + MA + RSI + Trend Buy/SellThis advanced indicator combines MACD, dual moving averages, RSI, volume spikes, and a 200 EMA trend filter to generate high-confidence Buy/Sell signals. It aims to reduce false signals by aligning multiple technical conditions:
EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)
🚨 Main Utility: Early Squeeze Warning
The primary function of this indicator is to warn traders early when the market is approaching a "squeeze"—a tightening condition that often precedes significant moves or regime shifts. By visually highlighting areas of increasing tension, it helps traders anticipate potential volatility and prepare accordingly. This is intended to be a statistically and psychologically grounded replacement of so-called "fib-time-zones," which are overly-deterministic and subjective.
📌 Overview
The EMA-Based Squeeze Dynamics indicator projects future regime shifts (such as golden and death crosses) using exponential moving averages (EMAs). It employs historical interval data and current market conditions to dynamically forecast when the critical EMAs (50-period and 200-period) will reconverge, marking likely trend-change points.
This indicator leverages two core ideas:
Behavioral finance theory: Traders often collectively anticipate popular EMA crossovers, creating a self-fulfilling prophecy (normative social influence), similar to findings from Solomon Asch’s conformity experiments.
Bayesian-like updates: It utilizes historical crossover intervals as a prior, dynamically updating expectations based on evolving market data, ensuring its signals remain objectively grounded in actual market behavior.
⚙️ Technical & Mathematical Explanation
1. EMA Calculations and Regime Definitions
The indicator uses three EMAs:
Fast (9-period): Represents short-term price movement.
Medial (50-period): Indicates medium-term trend direction.
Slow (200-period): Defines long-term market sentiment.
Regime States:
Bullish: 50 EMA is above the 200 EMA.
Bearish: 50 EMA is below the 200 EMA.
A shift between these states triggers visual markers (arrows and labels) directly on the chart.
2. Gap Dynamics and Historical Intervals
At each crossover:
The indicator records the gap (distance) between the 50 and 200 EMAs.
It tracks the historical intervals between past crossovers.
An Exponentially Weighted Moving Average (EWMA) of these intervals is calculated, weighting recent intervals more heavily, dynamically updating expectations.
Important note:
After every regime shift, the projected crossover line resets its calculation. This reset is visually evident as the projection line appears to move further away after each regime change, temporarily "repelled" until the EMAs begin converging again. This ensures projections remain realistic, grounded in actual EMA convergence, and prevents overly optimistic forecasts immediately after a regime shift.
3. Gap Momentum & Adaptive Scaling
The indicator measures how quickly or slowly the gap between EMAs is changing ("gap momentum") and adjusts its forecast accordingly:
If the gap narrows rapidly, a crossover becomes more imminent.
If the gap widens, the next crossover is pushed further into the future.
The "gap factor" dynamically scales the projection based on recent gap momentum, bounded between reasonable limits (0.7–1.3).
4. Squeeze Ratio & Background Color (Visual Cues)
A "squeeze ratio" is computed when market conditions indicate tightening:
In a bullish regime, if the fast EMA is below the medial EMA (price pulling back towards long-term support), the squeeze ratio increases.
In a bearish regime, if the fast EMA rises above the medial EMA (price rallying into long-term resistance), the squeeze ratio increases.
What the Background Colors Mean:
Red Background: Indicates a bullish squeeze—price is compressing downward, hinting a bullish reversal or continuation breakout may occur soon.
Green Background: Indicates a bearish squeeze—price is compressing upward, suggesting a bearish reversal or continuation breakout could soon follow.
Opacity Explanation:
The transparency (opacity) of the background indicates the intensity of the squeeze:
High Opacity (solid color): Strong squeeze, high likelihood of imminent volatility or regime shift.
Low Opacity (faint color): Mild squeeze, signaling early stages of tightening.
Thus, more vivid colors serve as urgent visual warnings that a squeeze is rapidly intensifying.
5. Projected Next Crossover and Pseudo Crossover Mechanism
The indicator calculates an estimated future bar when a crossover (and thus, regime shift) is expected to occur. This calculation incorporates:
Historical EWMA interval.
Current squeeze intensity.
Gap momentum.
A dynamic penalty based on divergence from baseline conditions.
The "Pseudo Crossover" Explained:
A key adaptive feature is the pseudo crossover mechanism. If price action significantly deviates from the projected crossover (for example, if price stays beyond the projected line longer than expected), the indicator acknowledges the projection was incorrect and triggers a "pseudo crossover" event. Essentially, this acts as a reset, updating historical intervals with a weighted adjustment to recalibrate future predictions. In other words, if the indicator’s initial forecast proves inaccurate, it recognizes this quickly, resets itself, and tries again—ensuring it remains responsive and adaptive to actual market conditions.
🧠 Behavioral Theory: Normative Social Influence
This indicator is rooted in behavioral finance theory, specifically leveraging normative social influence (conformity). Traders commonly watch EMA signals (especially the 50 and 200 EMA crossovers). When traders collectively anticipate these signals, they begin trading ahead of actual crossovers, effectively creating self-fulfilling prophecies—similar to Solomon Asch’s famous conformity experiments, where individuals adopted group behaviors even against direct evidence.
This behavior means genuine regime shifts (actual EMA crossovers) rarely occur until EMAs visibly reconverge due to widespread anticipatory trading activity. The indicator quantifies these dynamics by objectively measuring EMA convergence and updating projections accordingly.
📊 How to Use This Indicator
Monitor the background color and opacity as primary visual cues.
A strongly colored background (solid red/green) is an early alert that a squeeze is intensifying—prepare for potential volatility or a regime shift.
Projected crossover lines give a dynamic target bar to watch for trend reversals or confirmations.
After each regime shift, expect a reset of the projection line. The line may seem initially repelled from price action, but it will recalibrate as EMAs converge again.
Trust the pseudo crossover mechanism to automatically recalibrate the indicator if its original projection misses.
🎯 Why Choose This Indicator?
Early Warning: Visual squeeze intensity helps anticipate market breakouts.
Behaviorally Grounded: Leverages real trader psychology (conformity and anticipation).
Objective & Adaptive: Uses real-time, data-driven updates rather than static levels or subjective analysis.
Easy to Interpret: Clear visual signals (arrows, labels, colors) simplify trading decisions.
Self-correcting (Pseudo Crossovers): Quickly adjusts when initial predictions miss, maintaining accuracy over time.
Summary:
The EMA-Based Squeeze Dynamics Indicator combines behavioral insights, dynamic Bayesian-like updates, intuitive visual cues, and a self-correcting pseudo crossover feature to offer traders a reliable early warning system for market squeezes and impending regime shifts. It transparently recalibrates after each regime shift and automatically resets whenever projections prove inaccurate—ensuring you always have an adaptive, realistic forecast.
Whether you're a discretionary trader or algorithmic strategist, this indicator provides a powerful tool to navigate market volatility effectively.
Happy Trading! 📈✨
MTF EMA CloudsThis indicator creates up to 3 configurable EMA clouds
Each cloud uses a fast ema and a slow ema.
Works as follows:
fast ema > slow ema : green
slow ema > fast ema : red
This also allows you to select a custom timeframe for each cloud (only higher timeframes work) and applies a multiplier to show the cloud from that timeframe on the current chart.
OneTrend Vegas TunnelOneTrend Vegas Tunnel is a trend-following breakout strategy that uses multiple exponential moving averages (EMAs) to dynamically define a trading channel and filter false breakout signals.
The strategy constructs a primary channel—known as the Vegas Tunnel—using a 144-period and a 169-period EMA, while a 12-day EMA acts as an entry filter to confirm bullish or bearish breakouts (with trades taken only when both price and the 12-day EMA break above or below the tunnel, respectively).
Additionally, the strategy employs manually calculated ADX and RSI values to “double‐confirm” the trend — while a secondary channel (576- and 676‑period EMAs, colored in gray) provides a long‑term trend reference.
Please note that this script is intended solely for backtesting and educational purposes and does not constitute financial advice.
Dynamic EMA Ribbon🔹 Dynamic EMA Ribbon is a clean and powerful visual tool for analyzing market trends. This script creates a ribbon of exponential moving averages (EMAs) that stretches from a customizable starting length to an ending length.
🔸 The indicator highlights trend direction by comparing the first EMA (shortest) with the last EMA (longest):
If the first EMA is above the last → the color is green (bullish).
If the first EMA is below the last → the color is red (bearish).
🔸 Key features:
The intermediate EMAs are hidden but used to generate gradient fills, forming a ribbon-like visual structure.
The fill opacity increases progressively, helping users visually gauge trend strength.
The start EMA is plotted in blue or purple, and the end EMA is marked with green or red circles, depending on the trend.
🔹 Ideal for:
Spotting and confirming short- to medium-term trends.
Using as a visual layer underneath price action or alongside other indicators.
✏️ Customizable Inputs:
Starting EMA length
Ending EMA length
📌 Tip: Combine this ribbon with volume, support/resistance levels, or trend-following indicators for optimal setups.
TFT-Price-PluseTFT Price Pluse is a multi-purpose trend analysis and momentum confirmation indicator designed for intraday and swing traders. It combines well-known trading tools—EMAs, RSI, and a multi-timeframe dashboard—with a custom-built logarithmic regression channel that adapts to price behavior dynamically.
This tool helps traders quickly assess market conditions, spot trend reversals or continuation zones, and identify dynamic support/resistance using layered confluence — all in one visual system.
🔧 Main Components & Logic
📉 Trend Structure (EMAs & SMA)
8 EMA (short-term)
21 EMA (intermediate-term)
50 SMA (medium-term)
200 EMA (long-term baseline)
Triangle markers are plotted when the 8 EMA crosses the 21 EMA — commonly used as trend-change signals.
🔁 Multi-Timeframe RSI Table
Displays RSI(14) values across six timeframes:
1m, 3m, 5m, 10m, 15m, and 30m.
Color-coded cells:
Green = RSI > 50 (bullish momentum)
Red = RSI < 50 (bearish momentum)
This feature helps traders gauge market momentum across multiple granular timeframes at a glance.
📊 Custom Log Regression Channel (Original Component)
Uses a logarithmic transformation of price and time to fit a regression line.
Calculates standard deviation from the regression line to build dynamic upper and lower deviation bands.
Displays R-squared value, a statistical measure of trend strength.
This feature acts like an adaptive trend channel with built-in volatility measurement.
🔍 Unlike simple linear regression, this model tracks exponential behavior in trending markets, making it more suitable for crypto, futures, and other fast-moving instruments.
🎯 How to Use It
1. Spot Trends with EMA Crossovers
Bullish setup: 8 EMA crosses above 21 EMA while price is above 50 SMA and 200 EMA.
Bearish setup: opposite conditions.
2. Confirm with RSI Table
All RSI cells green = higher-probability long setup.
All red = potential short trend confirmation.
Mixed RSI = trend indecision or consolidation.
3. Use Log Regression Bands
Price bouncing from lower band with bullish EMA cross = potential long entry.
Price rejecting upper band with bearish cross = potential short entry.
R² above 0.8 = strong directional conviction.
4. Alerts (optional)
Alerts can be enabled for:
EMA crossovers
RSI overbought/oversold thresholds
🧩 Attribution & Open-Source Acknowledgement
This indicator includes adapted and integrated logic from several open-source scripts published on TradingView by the community.
Features such as the RSI table, moving average crossovers, and regression math were inspired by public scripts and documentation. These components were modified and enhanced to work together as a cohesive system.
The log regression channel is uniquely implemented, combining log(price) and log(time) transformations for a statistically calculated dynamic channel.
This version is published open-source to support learning, transparency, and community improvement. You are free to study, customize, and build upon it — just credit if reused.
🚀 Who This Is For
Intraday traders needing fast visual confirmation
Futures/crypto traders wanting trend/momentum filtering
Strategy builders looking for a reliable confluence tool
Coders studying advanced regression modeling in Pine Script
💬 Tips
Works best on 1m–15m charts for active setups.
Set alerts on RSI/EMA events for automation.
Use in combination with price action or volume tools if desired.
❤️ Final Note
If you find this script helpful, follow my profile for future updates and tools.
Feedback, forks, and enhancements are welcome — let's build better together.
EMA Cloud with Custom MAs and RSI [deepakks444]EMA Cloud with Custom MAs and RSI
Overview
A simple yet very effective tool, this indicator combines three essential elements to help you analyze the market with ease, using inputs to customize settings like MA types, lengths, and RSI periods. It includes an EMA Cloud to identify trends, two customizable Moving Averages (MAs) to confirm those trends, and a simple RSI (Relative Strength Index) to measure momentum. The EMA Cloud creates a colored area on your chart to show the trend direction at a glance, the MAs act as a second layer of confirmation, and the RSI, displayed in a separate pane, helps you understand the strength of the price movement. This setup is perfect for traders who want a clear, straightforward way to spot trends and gauge momentum without extra complexity.
Features
EMA Cloud:
The EMA Cloud is a shaded area on your chart that makes trend spotting easy. It’s created using two 3-period EMAs (Exponential Moving Averages): one based on the candle’s high price (called the High EMA) and one based on the candle’s low price (called the Low EMA). These EMAs track the recent highs and lows over the last three candles, forming a cloud-like area between them that moves with the price.
The cloud changes color based on where the candle is compared to these EMAs, giving you a quick visual of the trend:
Green: The candle is in a strong uptrend. This happens when the candle’s highest point (its high) touches or goes above the High EMA, and its lowest point (its low) stays above the Low EMA. In simple terms, the price is climbing higher and isn’t dropping below the recent lows, which shows strong bullish momentum and suggests the price might keep going up.
Red: The candle is in a strong downtrend. This happens when the candle’s lowest point (its low) touches or goes below the Low EMA, and its highest point (its high) stays below the High EMA. This means the price is falling lower and isn’t spiking above the recent highs, showing strong bearish momentum and suggesting the price might keep going down.
Yellow: The trend isn’t clear. This happens when the candle doesn’t fit the Green or Red conditions. For example, the candle might be stuck between the two EMAs, or it might be outside them but not showing a strong bullish or bearish move. A Yellow cloud tells you the market is in a neutral state, often during sideways movement or choppy price action, so it’s a sign to wait for a clearer trend before acting.
The cloud is overlaid directly on the price chart, so you can see the trend while watching the candles. It’s designed to be fast and responsive, thanks to the short 3-period EMAs, making it great for short-term trading.
Custom Moving Averages:
This indicator includes two Moving Averages (MAs) that you can customize to match your trading style. These MAs act as a backup to the EMA Cloud, helping you confirm the trend and spot potential entry or exit points.
You can choose the type of MA from a list: SMA (Simple Moving Average, which gives equal weight to all prices), EMA (Exponential Moving Average, which focuses more on recent prices), WMA (Weighted Moving Average, which gives more weight to recent prices in a linear way), HMA (Hull Moving Average, which is smoother and faster), RMA (Running Moving Average, often used in momentum indicators), or VWMA (Volume Weighted Moving Average, which factors in trading volume). Each type has its own strengths, so you can pick the one that suits your strategy best.
The default lengths are 20 for the first MA (shorter, faster) and 50 for the second MA (longer, slower), but you can adjust these lengths to make the MAs more or less sensitive. For example, a shorter length like 10 will react faster to price changes, while a longer length like 100 will show the bigger trend.
The MAs are plotted on the price chart in blue (for the first MA) and black (for the second MA). You can use them to see how the price is moving compared to the trend shown by the EMA Cloud, and they’re especially helpful for spotting crossovers (when the shorter MA crosses the longer MA), which can signal a change in trend.
RSI for Momentum:
The RSI (Relative Strength Index) is a simple momentum indicator that shows how strong the price movement is. It’s displayed in a separate pane below the chart, so it doesn’t get in the way of your price view.
This is a default 14-period RSI, meaning it looks at the last 14 candles to calculate momentum. You can adjust the period if you want it to be more or less sensitive—for example, a shorter period like 7 will react faster, while a longer period like 21 will be slower and smoother.
The RSI ranges from 0 to 100. A higher RSI (closer to 100) means the price is moving up with strong momentum, while a lower RSI (closer to 0) means the price is moving down with strong momentum. For example, if the RSI is rising and heading toward 70, it shows the price is gaining upward momentum, which can support a Green cloud signal. If the RSI is falling and heading toward 30, it shows the price is gaining downward momentum, which can support a Red cloud signal.
You can also use the RSI to see if momentum is slowing down. For example, if the price is going up but the RSI starts to flatten or drop, it might mean the uptrend is losing steam, even if the cloud is still Green. This can help you prepare for a potential trend change.
Settings
EMA Cloud:
Fixed at 3-period EMAs.
Additional MAs:
MA1 Length and MA1 Type: Set the first MA (default: 20, SMA).
MA2 Length and MA2 Type: Set the second MA (default: 50, SMA).
RSI Settings:
RSI Length: Default 14, adjustable.
Source: Default close, adjustable.
Usage
Spot Trends with the Cloud:
A Green cloud means the price is trending up, which can be a good time to buy or hold a position if you’re trading with the trend. It shows the price is moving higher with strength.
A Red cloud means the price is trending down, which can be a good time to sell or short if you’re looking for bearish opportunities. It shows the price is dropping with strength.
A Yellow cloud means the price isn’t showing a clear trend, so it’s often better to wait for a stronger signal before making a move. This helps you avoid getting caught in choppy or sideways markets.
Confirm with MAs:
The two MAs help you confirm the trend shown by the EMA Cloud. For example, if the cloud is Green (uptrend) and the shorter MA (blue) crosses above the longer MA (purple), it’s a stronger sign to buy, as both the cloud and the MAs agree the trend is up. If the cloud is Red (downtrend) and the shorter MA crosses below the longer MA, it’s a stronger sign to sell, as both tools confirm the downtrend.
You can also use the MAs to spot trend changes. If the price breaks above both MAs while the cloud turns Green, it’s a good sign a new uptrend is starting. If the price breaks below both MAs while the cloud turns Red, it’s a sign a new downtrend might be starting.
Check Momentum with RSI:
Use the RSI to see how strong the price movement is. If the RSI is rising, it means the price is gaining momentum, which can support a Green cloud (uptrend) or warn you if the momentum is slowing down in a Red cloud (downtrend). If the RSI is falling, it means the price is losing momentum, which can support a Red cloud or warn you if the momentum is slowing in a Green cloud.
For example, if the cloud is Green and the RSI is rising toward 60, it shows strong upward momentum, giving you more confidence in the uptrend. If the cloud is Red and the RSI is falling toward 40, it shows strong downward momentum, supporting the downtrend.
You can also watch for changes in momentum. If the cloud is Green but the RSI starts to drop, it might mean the uptrend is weakening, even if the price is still going up. This can help you prepare for a potential reversal or pullback.
Accuracy
The EMA Cloud is designed to catch trends by looking at the candle’s full range (high and low prices), not just the close. This makes it more sensitive to real price movements, helping it accurately show when the price is trending up (Green), trending down (Red), or stuck in a neutral zone (Yellow). The 3-period EMAs are short and fast, so the cloud reacts quickly to price changes, which is ideal for short-term trading but might give more signals in choppy markets. The custom MAs add reliability by confirming the trend over a longer period, helping you avoid false signals from the cloud alone. The RSI provides a clear view of momentum, showing you how strong the trend is and whether it’s gaining or losing steam. Together, these tools create a balanced system for trend and momentum analysis, but you should always test it on your specific market and timeframe to see how well it works for your trading style.
Notes
The EMA Cloud uses the candle’s high and low prices to catch the full price movement, making it more accurate for spotting trends.
The cloud colors have a bit of transparency so you can still see the candles clearly.
The RSI sits in its own pane below the chart, while the cloud and MAs are on the price chart.
Credits
To Creators of Original Indicators Used in this Indictor.
Disclaimer
This indicator is for educational purposes only. Trading involves risks, and you should use this tool at your own risk. Always conduct your own analysis and backtest the indicator before using it in live trading. The creators are not responsible for any financial losses incurred.
Mar 28
Release Notes
Added option to select Source of MAs.
This update introduces an advanced crossover confirmation feature to the indicator by leveraging the existing user-defined moving averages (MA1 and MA2). It enhances flexibility and visual feedback through customizable source selection and dynamic color changes based on crossover events. Below are the details of this addition:
Customizable Source Selection:
Users now have the ability to define the price source for each moving average independently through the MA1 Source and MA2 Source input options. Available choices include open, close, high, low, or other price data points, enabling tailored analysis based on specific price behaviors.
Crossover Confirmation Mechanism:
The feature detects crossovers between MA1 and MA2 to provide additional confirmation signals:
A bullish crossover occurs when MA1 crosses above MA2, signaling potential bullish momentum.
A bearish crossover occurs when MA1 crosses below MA2, indicating possible bearish momentum.
These events are identified using precise Pine Script functions (ta.crossover() and ta.crossunder()), ensuring reliable detection of trend shifts.
Dynamic Color Response:
Post-crossover, the visual representation of both MAs adapts to reflect the market condition:
After a bullish crossover (MA1 > MA2), both MA1 and MA2 lines change to green, visually reinforcing an upward trend.
After a bearish crossover (MA1 < MA2), both lines shift to red, highlighting a downward trend.
Prior to any crossover, the MAs default to gray, maintaining neutrality until a significant event occurs. The color persists until the opposite crossover takes place, offering sustained feedback.
Practical Examples for Customization:
MA 3 vs. MA 3 Configuration: Set MA1 to a length of 3 with source open and MA2 to a length of 3 with source close. This fast-moving pair leverages the difference between opening and closing prices, with crossovers providing rapid confirmation signals for short-term traders.
MA 9 vs. MA 20 Crossover: Configure MA1 with a length of 9 and MA2 with a length of 20 (both defaulting to close). This setup captures short-term trends against a medium-term baseline, a popular choice for swing trading.
MA 20 vs. MA 50 Crossover: Assign MA1 a length of 20 and MA2 a length of 50. This classic combination tracks medium-term versus long-term trends, ideal for identifying broader market shifts.
The flexibility of length and source inputs allows users to experiment with countless other pairings tailored to their strategies.
Purpose and Integration:
This crossover functionality enhances the indicator’s utility by offering a clear, visual confirmation tool alongside the existing EMA Cloud and RSI components. It empowers users to monitor momentum shifts with greater confidence, using MA1 and MA2 as a dynamic duo within the broader analytical framework.
Critical User Guidance:
Disclaimer: While this indicator provides valuable insights, it is not a standalone solution for trading decisions. All technical indicators, including this one, merely suggest potential price movements without offering guarantees. To maximize effectiveness and minimize risk, users must complement crossover signals with additional confirmations, such as:
Candlestick Formations: Patterns like doji, engulfing, or hammer candles to validate reversals or continuations.
Support and Resistance Levels: Key price zones to assess the strength of a trend or breakout.
Trendline Breakouts: Confirmation of trend direction through breaches of established lines.
Combining these elements ensures a more robust trading approach, aligning with sound risk management principles.
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy?
The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength.
Who is it for?
This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter.
When is it used?
- **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold.
- **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional.
- **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA.
Where is it applied?
This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions.
Why is it useful?
This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets.
How does it work?
- **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA.
- **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade.
- **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA.
- **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold.
This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
Scalping all timeframe EMA & RSIEMA 50 and EMA 100 combined with RSI 14
Should also be accompanied by the RSI 14 chart.
With the following conditions:
IF the EMAs are close but not crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses the lowest EMA, and the RSI value is equal to or below 40.
* Be prepared to take a Buy position if the first Bullish Candlestick crosses the highest EMA, and the RSI value is equal to or above 60.
IF the EMAs are overlapping and crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses both EMAs, and the RSI value crosses below 50.
*Be prepared to take a Buy position if the first Bullish Candlestick crosses both EMAs, and the RSI value crosses above 50.
Volume Flow with Bollinger Bands and EMA Cross SignalsThe Volume Flow with Bollinger Bands and EMA Cross Signals indicator is a custom technical analysis tool designed to identify potential buy and sell signals based on several key components:
Volume Flow: This component combines price movement and trading volume to create a signal that indicates the strength or weakness of price movements. When the price is rising with increasing volume, it suggests strong buying activity, whereas falling prices with increasing volume indicate strong selling pressure.
Bollinger Bands: Bollinger Bands consist of three lines:
The Basis (middle line), which is a Simple Moving Average (SMA) of the price over a set period.
The Upper Band, which is the Basis plus a multiple of the standard deviation (typically 2).
The Lower Band, which is the Basis minus a multiple of the standard deviation. Bollinger Bands help identify periods of high volatility and potential overbought/oversold conditions. When the price touches the upper band, it might indicate that the market is overbought, while touching the lower band might indicate oversold conditions.
EMA Crossovers: The script includes two Exponential Moving Averages (EMAs):
Fast EMA: A shorter-term EMA, typically more sensitive to price changes.
Slow EMA: A longer-term EMA, responding slower to price changes. The crossover of the Fast EMA crossing above the Slow EMA (bullish crossover) signals a potential buy opportunity, while the Fast EMA crossing below the Slow EMA (bearish crossover) signals a potential sell opportunity.
Background Color and Candle Color: The indicator highlights the chart's background with specific colors based on the signals:
Green background for buy signals.
Yellow background for sell signals. Additionally, the candles are colored green for buy signals and yellow for sell signals to visually reinforce the trade opportunities.
Buy/Sell Labels: Small labels are placed on the chart:
"BUY" label in green is placed below the bar when a buy signal is generated.
"SELL" label in yellow is placed above the bar when a sell signal is generated.
Working of the Indicator:
Volume Flow Calculation: The Volume Flow is calculated by multiplying the price change (current close minus the previous close) with the volume. This product is then smoothed with a Simple Moving Average (SMA) over a user-defined period (length). The result is then multiplied by a multiplier to adjust its sensitivity.
Price Change = close - close
Volume Flow = Price Change * Volume
Smoothed Volume Flow = SMA(Volume Flow, length)
The Volume Flow Signal is then: Smooth Volume Flow * Multiplier
This calculation represents the buying or selling pressure in the market.
Bollinger Bands: Bollinger Bands are calculated using the Simple Moving Average (SMA) of the closing price (basis) and the Standard Deviation (stdev) of the price over a period defined by the user (bb_length).
Basis (Middle Band) = SMA(close, bb_length)
Upper Band = Basis + (bb_std_dev * Stdev)
Lower Band = Basis - (bb_std_dev * Stdev)
The upper and lower bands are plotted alongside the price to identify the price's volatility. When the price is near the upper band, it could be overbought, and near the lower band, it could be oversold.
EMA Crossovers: The Fast EMA and Slow EMA are calculated using the Exponential Moving Average (EMA) function. The crossovers are detected by checking:
Buy Signal (Bullish Crossover): When the Fast EMA crosses above the Slow EMA.
Sell Signal (Bearish Crossover): When the Fast EMA crosses below the Slow EMA.
The long_condition variable checks if the Fast EMA crosses above the Slow EMA, and the short_condition checks if it crosses below.
Visual Signals:
Background Color: The background is colored green for a buy signal and yellow for a sell signal. This gives an immediate visual cue to the trader.
Bar Color: The candles are colored green for buy signals and yellow for sell signals.
Labels:
A "BUY" label in green appears below the bar when the Fast EMA crosses above the Slow EMA.
A "SELL" label in yellow appears above the bar when the Fast EMA crosses below the Slow EMA.
Summary of Buy/Sell Logic:
Buy Signal:
The Fast EMA crosses above the Slow EMA (bullish crossover).
Volume flow is positive, indicating buying pressure.
Background turns green and candles are colored green.
A "BUY" label appears below the bar.
Sell Signal:
The Fast EMA crosses below the Slow EMA (bearish crossover).
Volume flow is negative, indicating selling pressure.
Background turns yellow and candles are colored yellow.
A "SELL" label appears above the bar.
Usage of the Indicator:
This indicator is designed to help traders identify potential entry (buy) and exit (sell) points based on:
The interaction of Exponential Moving Averages (EMAs).
The strength and direction of Volume Flow.
Price volatility using Bollinger Bands.
By combining these components, the indicator provides a comprehensive view of market conditions, helping traders make informed decisions on when to enter and exit trades.
EREMA SignalsOverview
The EREMA Signals indicator is a specialized overlay tool designed to display precise buy and sell signals directly on your price chart. Working as a companion to the main Ehlers Reverse EMA indicator, it brings powerful momentum-based signals to your trading strategy without cluttering your chart with additional indicator panels.
Key Features
On-Chart Signal Visualization: Clear buy/sell arrows appear directly on the price chart
Dynamic Signal Positioning: Signals automatically adjust their distance from price using ATR for optimal visibility
Multiple Signal Types: Choose from three distinct signal generation methods
Clean Chart Interface: Displays only the essential signals, maintaining chart clarity
Signal Types
Zero Cross: Generates signals when the Ehlers Reverse EMA crosses above/below the zero line
MA Cross: Identifies when the Ehlers Reverse EMA crosses its own moving average
Zero & MA Cross: The strictest filter, requiring both zero line and MA crossovers for signal generation
How To Use
Setup
First add the main "Ehlers Reverse EMA" indicator to your chart
Then add this "EREMA Signals" indicator as an overlay
Configure both indicators with identical settings for alpha, MA type, and signal method
Reading Signals
Green Triangles (below price): Buy signals indicating potential upward momentum
Red Triangles (above price): Sell signals indicating potential downward momentum
Trading Applications
Trend Identification: Zero cross signals help identify changes in overall trend direction
Momentum Trading: MA cross signals can identify shorter-term momentum shifts
Confirmation Tool: Use alongside other technical indicators or price action strategies
Multiple Timeframe Analysis: Apply to different timeframes for more robust trading decisions
Best Practices
Consider using longer timeframes (4H, Daily) for more reliable signals
The combined "Zero & MA Cross" setting provides fewer but higher-quality signals
For tighter entries, use the "MA Cross" option in established trends
Adjust the Alpha parameter to match your trading style (lower for longer-term, higher for shorter-term)
This indicator works seamlessly with the main Ehlers Reverse EMA indicator while maintaining a clean chart interface, making it ideal for traders who prefer visual simplicity without sacrificing analytical power.
Ehlers Reverse EMAOverview
The Ehlers Reverse EMA is an advanced momentum indicator designed by John Ehlers and implemented here with additional features for improved trading decision-making. This indicator helps identify trend direction, potential reversals, and generates precise buy/sell signals based on multiple confirmation methods.
What Makes It Unique
Unlike conventional EMAs, the Ehlers Reverse EMA uses a sophisticated reverse-engineering approach to provide smoother, more responsive signals with reduced lag. The indicator combines a proprietary EMA calculation with optional moving average confirmation to filter out market noise and highlight meaningful price movements.
Features
Dynamic Color Coding: Green when momentum is positive, red when negative
Moving Average Overlay: Optional MA with selectable types (SMA, EMA, WMA, VWMA)
Multiple Signal Generation Methods:
Zero-Line Crossovers: Signals when momentum shifts from positive to negative or vice versa
MA Crossovers: Signals when the Ehlers EMA crosses its own moving average
Combined Confirmation: Requires both zero-line and MA crossovers for highest probability signals
On-Chart Signal Visualization: Clear buy/sell arrows directly on the price chart
Customizable Parameters: Adjust alpha value, MA type, and signal generation to suit your trading style
How To Use
Add the main "Ehlers Reverse EMA" indicator to your chart
Add the companion "EREMA Signals" indicator to display buy/sell signals on the price chart
Ensure both indicators have matching settings for consistency
Signal Interpretation
Buy Signals (Green Triangles): Appear below price bars when conditions are met
Sell Signals (Red Triangles): Appear above price bars when conditions are met
Recommended Timeframes
Works well on all timeframes from 5-minute to daily charts. For swing trading, 4H or daily timeframes often provide the most reliable signals.
Strategy Applications
Trend Following: Use zero-line crossovers to enter with the trend
Momentum Trading: Use MA crossovers for entry and exit points
Confirmation Tool: Combine with price action or other indicators for higher-probability trades
Divergence Analysis: Compare indicator movement with price action to spot potential reversals
Parameter Settings
Alpha (Default: 0.1): Lower values create smoother lines but more lag; higher values increase responsiveness but may increase false signals
MA Length (Default: 14): Adjust based on your trading timeframe and style
This versatile indicator helps identify high-probability trading opportunities while filtering out market noise, making it valuable for both novice and experienced traders alike.
Double MACD Overlay [NLR]This indicator plots two MACD signals directly on your price chart to help you spot trends and shifts in momentum more clearly:
🔹 Main MACD - The classic MACD with customizable Fast, Slow, and Signal lengths. Great for confirming broader trend direction.
🔹 Short MACD - A faster MACD with an option to smooth the input, helping you catch early signals or identify short-term momentum changes.
Each MACD is visualized as:
A line showing the moving average
A colored histogram showing the MACD minus the signal
A zero line for reference
Why use this?
By comparing a short-term MACD with a longer-term one, you get early signals without losing the big picture. Use it for confirmation, divergence spotting, or just cleaner trend visualization.
Best For:
✅ Trend-followers
✅ Momentum traders
✅ Anyone who wants more context from their MACD signals
Recommended Settings:
Here are some ideal settings to get the most out of this indicator:
On a 5-Minute Chart:
Compare your current MACD with the 15-minute MACD.
- MACD Multiplier: 3
On a 1-Minute Chart:
Spot short-term moves while comparing them to the 5-minute MACD.
- MACD Multiplier: 5
- Use Smoothed Source (Short MACD): ON (for a cleaner short MACD signal)
Happy trading! 💹
Ryna 3 EMA Multi-Timeframe Indicator**EMA Multi-Timeframe Strategy (Pine Script v6)**
This TradingView indicator is designed to assist traders using a **multi-timeframe trend-following strategy** based on Exponential Moving Averages (EMAs).
**Core Functionality**
- **Trend Identification:**
Uses a configurable **EMA (e.g., EMA 50)** on a **higher timeframe** (e.g., H1, D1, W1) to determine the market bias:
- If price is **above** the trend EMA → **Long bias**
- If price is **below** the trend EMA → **Short bias**
- **Entry Signals:**
Uses two EMAs (fast & slow, e.g., EMA 8 & EMA 21) on either:
- The **current chart timeframe**, or
- A **separately selected timeframe** (e.g., entry on M15, trend on H1)
→ Signals are generated based on **EMA crossovers**:
- **Bullish crossover** (fast crosses above slow) → Long signal
- **Bearish crossover** (fast crosses below slow) → Short signal
- Only when aligned with the higher-timeframe trend
- **Visual Output:**
- Optional display of entry EMAs when sourced from the trend timeframe
- Always displays the trend EMA
- Entry signals shown with triangle markers on the chart
- **Info Panel (Top Center):**
- Shows selected timeframes and EMA settings
- Indicates current trend bias (LONG / SHORT / NEUTRAL)
- Notes if entry EMAs are hidden due to settings
- **Alerts:**
- Optional alerts for long and short entry signals based on EMA crossovers
#### **User Inputs**
- **Trend Timeframe & EMA Length**
- **Entry Timeframe & EMA Fast/Slow Lengths**
- **Option to show/hide entry EMAs when using the trend timeframe**
- **Option to show/hide Infobox on Chart**
Multi-Timeframe MA DashboardThis indicator monitors 5 timeframes: 5min, 15min, 1hr, 4hr, and Daily. It displays fast and slow moving averages for each timeframe, along with the current price. The trend direction is color-coded: green for bullish (fast MA above slow MA) and red for bearish (fast MA below slow MA).
The dashboard also shows the last crossover signal (Buy/Sell) for each timeframe.
Visual arrows are plotted on the chart for the current timeframe. A green up arrow indicates a potential bullish crossover (Buy signal), while a red down arrow indicates a potential bearish crossover (Sell signal).
The dashboard is elegant and professional, with alternating row colors for better readability. It can be placed in any corner of the screen and customized with user-defined colors for bullish and bearish trends.
Alerts are triggered when a crossover occurs on any timeframe. These alerts include the timeframe and signal type (e.g., "5min: ↑ BUY").
How to Read the Indicator
The dashboard displays the following for each timeframe:
Fast MA: The value of the fast moving average.
Slow MA: The value of the slow moving average.
Price: The current price for the timeframe.
Trend: The current trend direction (Bullish or Bearish).
Signal: The last crossover signal (↑ BUY or ↓ SELL).
On the chart, green up arrows indicate a bullish crossover (Fast MA crosses above Slow MA), while red down arrows indicate a bearish crossover (Fast MA crosses below Slow MA).
Green text in the dashboard indicates a bullish trend or signal, while red text indicates a bearish trend or signal.
How to Use the Indicator
Use the dashboard to monitor the trend direction across multiple timeframes. Look for confluence (agreement) between timeframes to identify stronger trends. Observe the "Signal" column in the dashboard for the last crossover on each timeframe. Use the arrows on the chart to identify potential crossover points for the current timeframe.
Enable alerts to be notified of crossover signals on any timeframe. Alerts include the timeframe and signal type for easy reference.
Adjust the fast and slow moving average lengths to suit your trading style. Choose between EMA, SMA, or WMA for the moving average type. Customize the dashboard placement and colors for better visibility.
Important Notes
This indicator is not a buy or sell recommendation. It is a tool to assist traders in their analysis. Always use this indicator in conjunction with other tools, such as support/resistance levels, volume analysis, and price action. Past performance of moving averages does not guarantee future results.
How to Add the Indicator
Add the indicator to your chart from the TradingView library. Configure the inputs:
Fast MA Length: Default is 20.
Slow MA Length: Default is 50.
MA Type: Choose between EMA, SMA, or WMA.
Dashboard Placement: Select the corner of the screen where the dashboard will appear.
Colors: Customize the colors for bullish and bearish trends.
Monitor the dashboard and chart for trends and signals.
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial, investment, or trading advice. Always perform your own analysis and consult with a financial advisor before making trading decisions.
Uptrick: Z-Score FlowOverview
Uptrick: Z-Score Flow is a technical indicator that integrates trend-sensitive momentum analysi s with mean-reversion logic derived from Z-Score calculations. Its primary objective is to identify market conditions where price has either stretched too far from its mean (overbought or oversold) or sits at a statistically “normal” range, and then cross-reference this observation with trend direction and RSI-based momentum signals. The result is a more contextual approach to trade entry and exit, emphasizing precision, clarity, and adaptability across varying market regimes.
Introduction
Financial instruments frequently transition between trending modes, where price extends strongly in one direction, and ranging modes, where price oscillates around a central value. A simple statistical measure like Z-Score can highlight price extremes by comparing the current price against its historical mean and standard deviation. However, such extremes alone can be misleading if the broader market structure is trending forcefully. Uptrick: Z-Score Flow aims to solve this gap by combining Z-Score with an exponential moving average (EMA) trend filter and a smoothed RSI momentum check, thus filtering out signals that contradict the prevailing market environment.
Purpose
The purpose of this script is to help traders pinpoint both mean-reversion opportunities and trend-based pullbacks in a way that is statistically grounded yet still mindful of overarching price action. By pairing Z-Score thresholds with supportive conditions, the script reduces the likelihood of acting on random price spikes or dips and instead focuses on movements that are significant within both historical and current contextual frameworks.
Originality and Uniquness
Layered Signal Verification: Signals require the fulfillment of multiple layers (Z-Score extreme, EMA trend bias, and RSI momentum posture) rather than merely breaching a statistical threshold.
RSI Zone Lockout: Once RSI enters an overbought/oversold zone and triggers a signal, the script locks out subsequent signals until RSI recovers above or below those zones, limiting back-to-back triggers.
Controlled Cooldown: A dedicated cooldown mechanic ensures that the script waits a specified number of bars before issuing a new signal in the opposite direction.
Gradient-Based Visualization: Distinct gradient fills between price and the Z-Mean line enhance readability, showing at a glance whether price is trading above or below its statistical average.
Comprehensive Metrics Panel: An optional on-chart table summarizes the Z-Score’s key metrics, streamlining the process of verifying current statistical extremes, mean levels, and momentum directions.
Why these indicators were merged
Z-Score measurements excel at identifying when price deviates from its mean, but they do not intrinsically reveal whether the market’s trajectory supports a reversion or if price might continue along its trend. The EMA, commonly used for spotting trend directions, offers valuable insight into whether price is predominantly ascending or descending. However, relying solely on a trend filter overlooks the intensity of price moves. RSI then adds a dedicated measure of momentum, helping confirm if the market’s energy aligns with a potential reversal (for example, price is statistically low but RSI suggests looming upward momentum). By uniting these three lenses—Z-Score for statistical context, EMA for trend direction, and RSI for momentum force—the script offers a more comprehensive and adaptable system, aiming to avoid false positives caused by focusing on just one aspect of price behavior.
Calculations
The core calculation begins with a simple moving average (SMA) of price over zLen bars, referred to as the basis. Next, the script computes the standard deviation of price over the same window. Dividing the difference between the current price and the basis by this standard deviation produces the Z-Score, indicating how many standard deviations the price is from its mean. A positive Z-Score reveals price is above its average; a negative reading indicates the opposite.
To detect overall market direction, the script calculates an exponential moving average (emaTrend) over emaTrendLen bars. If price is above this EMA, the script deems the market bullish; if below, it’s considered bearish. For momentum confirmation, the script computes a standard RSI over rsiLen bars, then applies a smoothing EMA over rsiEmaLen bars. This smoothed RSI (rsiEma) is monitored for both its absolute level (oversold or overbought) and its slope (the difference between the current and previous value). Finally, slopeIndex determines how many bars back the script compares the basis to check whether the Z-Mean line is generally rising, falling, or flat, which then informs the coloring scheme on the chart.
Calculations and Rational
Simple Moving Average for Baseline: An SMA is used for the core mean because it places equal weight on each bar in the lookback period. This helps maintain a straightforward interpretation of overbought or oversold conditions in the context of a uniform historical average.
Standard Deviation for Volatility: Standard deviation measures the variability of the data around the mean. By dividing price’s difference from the mean by this value, the Z-Score can highlight whether price is unusually stretched given typical volatility.
Exponential Moving Average for Trend: Unlike an SMA, an EMA places more emphasis on recent data, reacting quicker to new price developments. This quicker response helps the script promptly identify trend shifts, which can be crucial for filtering out signals that go against a strong directional move.
RSI for Momentum Confirmation: RSI is an oscillator that gauges price movement strength by comparing average gains to average losses over a set period. By further smoothing this RSI with another EMA, short-lived oscillations become less influential, making signals more robust.
SlopeIndex for Slope-Based Coloring: To clarify whether the market’s central tendency is rising or falling, the script compares the basis now to its level slopeIndex bars ago. A higher current reading indicates an upward slope; a lower reading, a downward slope; and similar readings, a flat slope. This is visually represented on the chart, providing an immediate sense of the directionality.
Inputs
zLen (Z-Score Period)
Specifies how many bars to include for computing the SMA and standard deviation that form the basis of the Z-Score calculation. Larger values produce smoother but slower signals; smaller values catch quick changes but may generate noise.
emaTrendLen (EMA Trend Filter)
Sets the length of the EMA used to detect the market’s primary direction. This is pivotal for distinguishing whether signals should be considered (price aligning with an uptrend or downtrend) or filtered out.
rsiLen (RSI Length)
Defines the window for the initial RSI calculation. This RSI, when combined with the subsequent smoothing EMA, forms the foundation for momentum-based signal confirmations.
rsiEmaLen (EMA of RSI Period)
Applies an exponential moving average over the RSI readings for additional smoothing. This step helps mitigate rapid RSI fluctuations that might otherwise produce whipsaw signals.
zBuyLevel (Z-Score Buy Threshold)
Determines how negative the Z-Score must be for the script to consider a potential oversold signal. If the Z-Score dives below this threshold (and other criteria are met), a buy signal is generated.
zSellLevel (Z-Score Sell Threshold)
Determines how positive the Z-Score must be for a potential overbought signal. If the Z-Score surpasses this threshold (and other checks are satisfied), a sell signal is generated.
cooldownBars (Cooldown (Bars))
Enforces a bar-based delay between opposite signals. Once a buy signal has fired, the script must wait the specified number of bars before registering a new sell signal, and vice versa.
slopeIndex (Slope Sensitivity (Bars))
Specifies how many bars back the script compares the current basis for slope coloration. A bigger slopeIndex highlights larger directional trends, while a smaller number emphasizes shorter-term shifts.
showMeanLine (Show Z-Score Mean Line)
Enables or disables the plotting of the Z-Mean and its slope-based coloring. Traders who prefer minimal chart clutter may turn this off while still retaining signals.
Features
Statistical Core (Z-Score Detection):
This feature computes the Z-Score by taking the difference between the current price and the basis (SMA) and dividing by the standard deviation. In effect, it translates price fluctuations into a standardized measure that reveals how significant a move is relative to the typical variation seen over the lookback. When the Z-Score crosses predefined thresholds (zBuyLevel for oversold and zSellLevel for overbought), it signals that price could be at an extreme.
How It Works: On each bar, the script updates the SMA and standard deviation. The Z-Score is then refreshed accordingly. Traders can interpret particularly large negative or positive Z-Score values as scenarios where price is abnormally low or high.
EMA Trend Filter:
An EMA over emaTrendLen bars is used to classify the market as bullish if the price is above it and bearish if the price is below it. This classification is applied to the Z-Score signals, accepting them only when they align with the broader price direction.
How It Works: If the script detects a Z-Score below zBuyLevel, it further checks if price is actually in a downtrend (below EMA) before issuing a buy signal. This might seem counterintuitive, but a “downtrend” environment plus an oversold reading often signals a potential bounce or a mean-reversion play. Conversely, for sell signals, the script checks if the market is in an uptrend first. If it is, an overbought reading aligns with potential profit-taking.
RSI Momentum Confirmation with Oversold/Overbought Lockout:
RSI is calculated over rsiLen, then smoothed by an EMA over rsiEmaLen. If this smoothed RSI dips below a certain threshold (for example, 30) and then begins to slope upward, the indicator treats it as a potential sign of recovering momentum. Similarly, if RSI climbs above a certain threshold (for instance, 70) and starts to slope downward, that suggests dwindling momentum. Additionally, once RSI is in these zones, the indicator locks out repetitive signals until RSI fully exits and re-enters those extreme territories.
How It Works: Each bar, the script measures whether RSI has dropped below the oversold threshold (like 30) and has a positive slope. If it does, the buy side is considered “unlocked.” For sell signals, RSI must exceed an overbought threshold (70) and slope downward. The combination of threshold and slope helps confirm that a reversal is genuinely in progress instead of issuing signals while momentum remains weak or stuck in extremes.
Cooldown Mechanism:
The script features a custom bar-based cooldown that prevents issuing new signals in the opposite direction immediately after one is triggered. This helps avoid whipsaw situations where the market quickly flips from oversold to overbought or vice versa.
How It Works: When a buy signal fires, the indicator notes the bar index. If the Z-Score and RSI conditions later suggest a sell, the script compares the current bar index to the last buy signal’s bar index. If the difference is within cooldownBars, the signal is disallowed. This ensures a predefined “quiet period” before switching signals.
Slope-Based Coloring (Z-Mean Line and Shadow):
The script compares the current basis value to its value slopeIndex bars ago. A higher reading now indicates a generally upward slope, while a lower reading indicates a downward slope. The script then shades the Z-Mean line in a corresponding bullish or bearish color, or remains neutral if little change is detected.
How It Works: This slope calculation is refreshingly straightforward: basis – basis . If the result is positive, the line is colored bullish; if negative, it is colored bearish; if approximately zero, it remains neutral. This provides a quick visual cue of the medium-term directional bias.
Gradient Overlays:
With gradient fills, the script highlights where price stands in relation to the Z-Mean. When price is above the basis, a purple-shaded region is painted, visually indicating a “bearish zone” for potential overbought conditions. When price is below, a teal-like overlay is used, suggesting a “bullish zone” for potential oversold conditions.
How It Works: Each bar, the script checks if price is above or below the basis. It then applies a fill between close and basis, using distinct colors to show whether the market is trading above or below its mean. This creates an immediate sense of how extended the market might be.
Buy and Sell Labels (with Alerts):
When a legitimate buy or sell condition passes every check (Z-Score threshold, EMA trend alignment, RSI gating, and cooldown clearance), the script plots a corresponding label directly on the chart. It also fires an alert (if alerts are set up), making it convenient for traders who want timely notifications.
How It Works: If rawBuy or rawSell conditions are met (refined by RSI, EMA trend, and cooldown constraints), the script calls the respective plot function to paint an arrow label on the chart. Alerts are triggered simultaneously, carrying easily recognizable messages.
Metrics Table:
The optional on-chart table (activated by showMetrics) presents real-time Z-Score data, including the current Z-Score, its rolling mean, the maximum and minimum Z-Score values observed over the last zLen bars, a percentile position, and a short-term directional note (rising, falling, or flat).
Current – The present Z-Score reading
Mean – Average Z-Score over the zLen period
Min/Max – Lowest and highest Z-Score values within zLen
Position – Where the current Z-Score sits between the min and max (as a percentile)
Trend – Whether the Z-Score is increasing, decreasing, or flat
Conclusion
Uptrick: Z-Score Flow offers a versatile solution for traders who need a statistically informed perspective on price extremes combined with practical checks for overall trend and momentum. By leveraging a well-defined combination of Z-Score, EMA trend classification, RSI-based momentum gating, slope-based visualization, and a cooldown mechanic, the script reduces the occurrence of false or premature signals. Its gradient fills and optional metrics table contribute further clarity, ensuring that users can quickly assess market posture and make more confident trading decisions in real time.
Disclaimer
This script is intended solely for informational and educational purposes. Trading in any financial market comes with substantial risk, and there is no guarantee of success or the avoidance of loss. Historical performance does not ensure future results. Always conduct thorough research and consider professional guidance prior to making any investment or trading decisions.
Vulkan Profit
Overview
The Vulkan Profit indicator is a trend-following tool that identifies potential entry and exit points by monitoring the relationship between short-term and long-term moving averages. It generates clear buy and sell signals when specific moving average conditions align, making it useful for traders looking to confirm trend changes across multiple timeframes.
How It Works
The indicator utilizes four different moving averages:
Fast WMA (period 3) - A highly responsive weighted moving average
Medium WMA (period 8) - A less sensitive weighted moving average
Fast EMA (period 18) - A responsive exponential moving average
Slow EMA (period 28) - A slower exponential moving average
These moving averages are grouped into two categories:
Short-term MAs: Fast WMA and Medium WMA
Long-term MAs: Fast EMA and Slow EMA
Signal Generation Logic
The Vulkan Profit indicator generates signals based on the relative positions of these moving averages:
Buy Signal (Green Triangle)
A buy signal appears when the minimum value of the short-term MAs becomes greater than the maximum value of the long-term MAs. In other words, when both short-term MAs cross above both long-term MAs.
Sell Signal (Red Triangle)
A sell signal appears when the maximum value of the short-term MAs becomes less than the minimum value of the long-term MAs. In other words, when both short-term MAs cross below both long-term MAs.
Visual Components
Moving Averages - All four moving averages can be displayed or hidden
Signal Arrows - Green triangles for buy signals, red triangles for sell signals
Colored Line - A line that changes color based on the current market stance (green for bullish, red for bearish)
Customization Options
The indicator offers several customization settings:
Toggle the visibility of moving averages
Toggle the visibility of buy/sell signals
Adjust the color, width, and position of the signal line
Choose between different line styles (Line, Stepline, Histogram)
Practical Trading Applications
Trend Identification: The relative positioning of all moving averages helps identify the current market trend
Entry/Exit Points: The buy and sell signals can be used as potential entry and exit points
Trend Confirmation: The colored line provides ongoing confirmation of the trend direction
Filter: Can be used in conjunction with other indicators as a trend filter
Trading Strategy Suggestions
Trend Following: Enter long positions on buy signals and exit on sell signals during trending markets
Confirmation Tool: Use the signals to confirm trades identified by other indicators
Timeframe Analysis: Apply the indicator across multiple timeframes for stronger confirmation
Risk Management: Place stop-loss orders below recent swing lows for long positions and above recent swing highs for short positions
Tips for Best Results
The indicator performs best in trending markets and may generate false signals in ranging or highly volatile markets
Consider the broader market context before taking trades based solely on these signals
Use appropriate position sizing and risk management regardless of the indicator's signals
The longer timeframes generally produce more reliable signals with fewer false positives
The Vulkan Profit indicator combines the responsiveness of short-term averages with the stability of long-term averages to capture significant trend changes while filtering out minor price fluctuations.
Trend Strength MeterThe Trend Strength Meter (TSM) is a powerful and versatile indicator designed to help traders identify market trends, measure their strength, and detect potential reversals with ease. This indicator combines the power of moving averages, divergence detection, and a clean, customizable dashboard to provide actionable insights for traders of all levels.
How It Works
Trend Strength Calculation:
1. The TSM calculates the trend strength using the difference between two Exponential Moving Averages (EMAs): a fast EMA (default: 20) and a slow EMA (default: 50).
2. The difference is expressed as a percentage of the slow EMA, providing a clear measure of the trend's strength and direction.
Histogram Visualization:
1. A color-coded histogram visually represents the trend strength:
Green: Bullish trend
Red: Bearish trend
Gray: Neutral or no significant trend
2. A smoothed trend strength line (SMA of the trend strength) is also plotted for better clarity.
Divergence Detection:
1. The indicator detects bullish and bearish divergences using the RSI (Relative Strength Index) and price action.
2. Bullish Divergence: Price makes a lower low, but RSI makes a higher low, signaling potential upward momentum.
3. Bearish Divergence: Price makes a higher high, but RSI makes a lower high, signaling potential downward momentum.
=> Divergences are marked with arrows on the chart:
Green Arrow: Bullish divergence
Red Arrow: Bearish divergence
Dashboard:
1. A clean and informative dashboard displays key information:
Trend Strength Value: The current strength of the trend
Trend Direction: Bullish, Bearish, or Neutral
Last Signal: Buy, Sell, or None (based on divergence signals)
The dashboard is fully customizable and can be positioned anywhere on the chart (e.g., top-right, bottom-left, center, etc.).
Key Features
1. Trend Strength Measurement: Quickly identify the strength and direction of the trend.
2. Divergence Detection: Spot potential reversals before they occur with bullish and bearish divergence signals.
3. Customizable Dashboard: Move the dashboard to your preferred location on the chart for better visibility.
4. User-Friendly Design: Clean visuals and intuitive color coding make it easy to interpret market conditions.
5. Actionable Signals: Provides clear Buy/Sell signals based on divergence, helping traders make informed decisions.
How to Use
1. Trend Confirmation:
Use the histogram and trend strength value to confirm the current market trend.
Green bars indicate a bullish trend, while red bars indicate a bearish trend.
2. Divergence Signals:
Look for divergence arrows (green for bullish, red for bearish) to anticipate potential reversals.
Combine divergence signals with other technical analysis tools for higher accuracy.
3. Dashboard Insights:
Monitor the dashboard for real-time updates on trend strength, direction, and the latest signal.
Use the "Last Signal" (Buy/Sell) to validate your trading decisions.
4. Custom Settings:
Adjust the EMA lengths and divergence lookback period to suit your trading style and timeframe.
Position the dashboard anywhere on the chart for convenience.
Best Practices
1. Use the TSM in conjunction with other indicators or price action analysis for confirmation.
2. Test the indicator on different timeframes to find the one that works best for your strategy.
3. Always practice proper risk management when trading.
Disclaimer
This indicator is a tool to assist in technical analysis and should not be used as a standalone trading strategy. Past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
Adv EMA Cloud v6 (ADX, Alerts)Summary:
This indicator provides a multi-faceted view of market trends using Exponential Moving Averages (EMAs) arranged in visually intuitive clouds, enhanced with an optional ADX-based range filter and configurable alerts for key market conditions. It aims to help traders quickly gauge trend alignment across short, medium, and long timeframes while filtering signals during potentially choppy market conditions.
Key Features:
Multiple EMAs: Displays 10-period (Fast), 20-period (Mid), and 50-period (Slow) EMAs.
Long-Term Trend Filter: Includes a 200-period EMA to provide context for the overall dominant trend direction.
Dual EMA Clouds:
Fast/Mid Cloud (10/20 EMA): Fills the area between the 10 and 20 EMAs. Defaults to Green when 10 > 20 (bullish short-term momentum) and Red when 10 < 20 (bearish short-term momentum).
Mid/Slow Cloud (20/50 EMA): Fills the area between the 20 and 50 EMAs. Defaults to Aqua when 20 > 50 (bullish mid-term trend) and Fuchsia when 20 < 50 (bearish mid-term trend).
Optional ADX Range Filter: Uses the Average Directional Index (ADX) to identify potentially non-trending or choppy markets. When enabled and ADX falls below a user-defined threshold, the EMA clouds will turn grey, visually warning that trend-following signals may be less reliable.
Configurable Alerts: Provides several built-in alert conditions using Pine Script's alertcondition function:
Confluence Condition: Triggers when a 10/20 EMA crossover occurs while both EMA clouds show alignment (both bullish/green/aqua or both bearish/red/fuchsia) and price respects the 200 EMA filter and the ADX filter indicates a trend (if filters are enabled).
MA Filter Cross: Triggers when price crosses above or below the 200 EMA filter line.
Full Alignment Start: Triggers on the first bar where full bullish or bearish alignment occurs (both clouds aligned + MA filter respected + ADX trending, if filters are enabled).
How It Works:
EMA Calculation: Standard Exponential Moving Averages are calculated for the 10, 20, 50, and 200 periods based on the closing price.
Cloud Creation: The fill() function visually shades the area between the 10 & 20 EMAs and the 20 & 50 EMAs.
Cloud Coloring: The color of each cloud is determined by the relationship between the two EMAs that define it (e.g., if EMA 10 is above EMA 20, the first cloud is bullish-colored).
ADX Filter Logic: The script calculates the ADX value. If the "Use ADX Trend Filter?" input is checked and the calculated ADX is below the specified "ADX Trend Threshold", the script considers the market potentially ranging.
ADX Visual Effect: During detected ranging periods (if the ADX filter is active), the plotCloud12Color and plotCloud23Color variables are assigned a neutral grey color instead of their normal bullish/bearish colors before being passed to the fill() function.
Alert Logic: Boolean variables track the specific conditions (crossovers, cloud alignment, filter positions, ADX state). The alertcondition() function creates triggerable alerts based on these pre-defined conditions.
Potential Interpretation (Not Financial Advice):
Trend Alignment: When both clouds share the same directional color (e.g., both bullish - Green & Aqua) and price is on the corresponding side of the 200 EMA filter, it may suggest a stronger, more aligned trend. Conversely, conflicting cloud colors may indicate indecision or transition.
Dynamic Support/Resistance: The EMA lines themselves (especially the 20, 50, and 200) can sometimes act as dynamic levels where price might react.
Range Warning: Greyed-out clouds (when ADX filter is enabled) serve as a visual warning that trend-based strategies might face increased difficulty or whipsaws.
Confluence Alerts: The specific confluence alerts signal moments where multiple conditions align (crossover + cloud agreement + filters), which some traders might view as higher-probability setups.
Customization:
All EMA lengths (10, 20, 50, 200) are adjustable via the Inputs menu.
The ADX length and threshold are configurable.
The MA Trend Filter and ADX Trend Filter can be independently enabled or disabled.
Disclaimer:
This indicator is provided for informational and educational purposes only. Trading financial markets involves significant risk. Past performance is not indicative of future results. Always conduct your own thorough analysis and consider your risk tolerance before making any trading decisions. This indicator should be used in conjunction with other analysis methods and tools. Do not trade based solely on the signals or visuals provided by this indicator.
Multi-Timeframe EMAsMulti Timeframe EMA's
The 'Multi-Timeframe EMA Band Comparison' indicator is a tool designed to analyze trend direction across multiple timeframes using Exponential Moving Averages. it calculates the 50, 100, and 200 period EMAs for fiver user defined timeframes and compares their relationships to provide a visual snapshot of bullish or bearish momentum.
How it Works:
EMA Calculations: For each selected timeframe, the indicator computes the 50, 100, and 200 period EMAs based on the closing price.
Band Comparisons: Three key relationships are evaluated:
50 EMA vs 100 EMA
100 EMA vs 200 EMA
50 EMA vs 200 EMA
Scoring System: Each comparison is assigned a score:
🟢 (Green Circle): The shorter EMA is above the longer EMA, signaling bullish momentum.
🔴 (Red Circle): The shorter EMA is below the longer EMA, signaling bearish momentum.
⚪️ (White Circle): The EMAs are equal or data is unavailable (rare).
Average Score:
An overall average score is calculated across all 15 comparisons ranging from 1 to -1, displayed with two decimal places and color coded.
Customization:
This indicator is fully customizable from the timeframe setting to the color of the table. The only specific part that is not changeable is the EMA bands.
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy
Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes.
🌊 Finding the Perfect Wave (Entry)
Our journey begins with two simple signs that tell us a great trading opportunity is forming:
- Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!"
- RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward.
When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave.
⚓ Safely Riding the Wave (Risk Management)
While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are:
- Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses.
- Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point.
🌟 Multiple Rides, Bigger Adventures
This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big.
🗺️ Easy to Follow Settings
Here are the basic settings we use:
- Fast EMA**: 16
- Slow EMA**: 30
- RSI Length**: 9
- RSI Threshold**: 50
- ATR Length**: 21
- ATR Stop-Loss Multiplier**: 8
- ATR Take-Profit Multiplier**: 11
These settings are flexible—you can adjust them to better suit different markets or your personal trading style.
🎉 Riding the Waves of Success
This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses.
Happy trading, and may you find many profitable waves to ride! 🌊✨
Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
