Gold EMA + CHOCH StrategyStrategy Logic:
Higher Timeframe (15 min):
Bullish: HTF_20EMA > HTF_100EMA and forming H.H
Bearish: HTF_20EMA < HTF_100EMA and Forming L.L
Lower Timeframe (1 min):
Entry when 20 EMA crosses 100 EMA:
Buy if 20 EMA crosses above 100 EMA and 1 min CHOCH and HTF trend is bullish
Sell if 20 EMA crosses below 100 EMA and1 minCHOCH and HTF trend is bearish
Médias Móveis
T3 + MACD + EMA ConfluenceThis indicator combines the T3 Moving Average, MACD, and EMA 200 to identify high-probability trend-following entries on any timeframe.
Key Features:
T3 Moving Average (20 period, customizable smoothing) for dynamic trend direction and support/resistance.
MACD Histogram used to confirm momentum in the direction of the trend.
200 EMA for filtering trades in line with the long-term trend.
Buy and Sell signals appear when all confluence conditions align.
Built-in alerts for signal generation.
This tool is ideal for traders looking for clean entries in trending markets with strong confirmation. Best used on pairs like EURUSD H1, but works across all instruments and timeframes.
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.
Trader Kit: MAs | ADR% | ATR% | $ Vol | RVol | Float%Trader Kit is a data-rich indicator designed to give traders quick access to essential technical context — from price structure and volatility to volume dynamics and sector strength.
🔧 Key Features
Moving Average Ribbon
Eight customizable moving averages with full control over:
Type (SMA, EMA, SMMA, WMA, VWMA, HMA)
Source (close, hl2, etc.)
Length
Color
Visibility toggle
→ Alerts can be placed on any MA.
Volatility Metrics
ADR%: Measures the average high-low range over the past 20 days (can be edited), ignoring gaps. It reflects how much a stock typically moves within the day.
ATR%: Measures the average true range over 14 periods (can be edited), including gaps. It reflects total daily volatility, accounting for overnight moves.
Volume Intel
Lookback period for all volume parameters.
Average Volume
Average Dollar Volume: Volume × price, formatted with K/M/B. A vital liquidity gauge — high $Vol often indicates institutional interest and facilitates smoother trade execution.
Relative Volume: Compares current volume to its 20-day average. Spikes in Rel. Vol often signal unusual interest or developing setups.
Up/Down Volume Ratio: Sum of up days’ volume vs. down days over the lookback period. Useful for identifying accumulation vs. distribution behavior.
Market Context
Market Cap
Float %: Shows the tradable portion of shares — lower float often means more volatility.
% from Open: Measures current positioning within the daily range.
% from 52-Week High / Low: Identifies strength or weakness relative to long-term extremes.
RSI (14): Included for basic momentum context.
Sector & Industry Mapping
Automatically detects the asset’s sector and industry, then maps each to the most relevant ETF proxy. The script displays the daily % change from open for both ETFs — providing a quick lens into relative strength at the group level.
Pivot Points
Marks recent high and low pivots based on user-defined length. Each pivot includes price and optional % change from the previous opposite pivot.
Customizable Stats Table
A dynamic, 2-column table presenting all selected metrics with the following controls:
Position: Top/Bottom Left, Center, Right
Text size: Tiny, Small, Normal, Large
Individual metric toggles
Custom label color
Option to apply a unified color or retain color styling per stat
👉 Companion tool: FunkyQuokka’s $Vol Indicator (click chart below)
🙏 Credits & Shoutouts
Portions of this script were inspired by or adapted from the work of:
@jfsrevg, @Fred6724, @TraderWillHu, @TheScrutiniser
With appreciation to the PineCoders community for tools, documentation, and support.
Crafted by @FunkyQuokka for traders who value structure, context and clarity.
EMA 13 y EMA 48.5 CrossThis indicator shows the cross between EMA 13 and a smoothed EMA 48.5 (average of EMA 48 and 49). Bullish and bearish crossovers are highlighted with a cross marker, and alerts are available to track both scenarios.
Useful for traders seeking early trend reversal signals or dynamic support/resistance guidance.
superTrend ve kama SezersuperTrend everget and Kama Hpotter indicator combination .
Adjust colors . short Long State Filling
EMA or SMA CloudHow it works:
You can choose between EMA or SMA for all three moving averages using the maType input.
The clouds are filled based on the relationship between the moving averages:
Green cloud: The first MA is above the second MA.
Red cloud: The first MA is below the second MA.
How to Use:
Copy the code above.
Open TradingView.
Go to "Pine Editor" at the bottom of the screen.
Paste the code and click "Add to Chart."
In the indicator settings, you’ll be able to choose whether to use EMA or SMA for all three moving averages, and the chart will show the moving averages along with the corresponding clouds.
EMA Crossover with Stop Loss
Stop Loss Calculation:
A stop loss level is calculated as a percentage below the entry price for a long position or above the entry price for a short position.
The stopLossPercent input allows you to define how far the stop loss is set from the entry price, in percentage terms.
Buy Signal:
A buySignal is generated when the fast EMA crosses above the slow EMA.
The stop loss for this trade is calculated when the buy signal occurs, and the stop loss level is plotted on the chart.
Sell Signal:
A sellSignal is generated when the fast EMA crosses below the slow EMA.
The stop loss for the short trade is calculated when the sell signal occurs.
Plotting:
Buy and Sell Labels: "BUY" and "SELL" signals are plotted as labels above or below the bars when the crossovers occur.
Stop Loss Levels: When a buy signal occurs, the stop loss for the long position is plotted in orange. When a sell signal occurs, the stop loss for the short position is plotted in purple.
Alerts:
Alerts are available for the buy and sell signals as well as for the stop loss levels being reached, so you can track those events in real-time.
How it Works:
The buy signal triggers a long position, and the stop loss is calculated below the entry price by the percentage specified in stopLossPercent.
The sell signal triggers a short position, and the stop loss is calculated above the entry price.
The stop loss is drawn on the chart when a position is open, so you can visually track where your exit would be if the price moves against you.
How to Use:
Copy the updated script into TradingView's Pine Script editor.
Apply it to your chart.
You'll see the EMAs plotted, along with "BUY", "SELL", and stop loss levels for both long and short trades.
You can set up alerts from TradingView’s alert feature to notify you when buy, sell, or stop-loss levels are triggered.
Feel free to tweak the stopLossPercent input to better fit your risk management preferences!
Let me know if you'd like further customization or need help with anything else!
EMA Crossover IndicatorThis script will not perform any trading operations; it’s purely for visualization and generating alerts. You can easily track the crossovers and make manual trading decisions or integrate it with other tools.
Let me know if you need any adjustments!
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! 📈✨
EMA/SMMA Crossover Strategy v6 + EMA2400This indicator combines short-term SMMA crossovers with long-term EMA filters to generate high-quality trading signals. It’s designed to trade in the direction of the larger trend and avoid choppy conditions.
🔍 Components:
3 SMMA & 8 SMMA: Capture short-term momentum shifts.
200 EMA: Standard trend filter on the current timeframe.
2400 EMA: Simulates the 200 EMA from the H1 timeframe when applied to a 1-minute chart (multi-timeframe trend alignment).
📈 Signal Logic:
Buy Signal: 3 SMMA crosses above 8 SMMA and price is above both EMA 200 and EMA 2400.
Sell Signal: 3 SMMA crosses below 8 SMMA and price is below both EMA 200 and EMA 2400.
🎯 Features:
Clear BUY/SELL signal plotting
Optional colored background based on EMA 2400 trend
Built-in alerts for automation
This script is ideal for scalpers and intraday traders who want to stay aligned with the broader market direction.
EMA+SMA+VWAP Trading Strategy This strategy is for COINBASE:ETHUSD 15min. Tweak the INPUTS as per requirement.
Note: The strategy will give different results for different sources(Binance, Bitstamp) and symbols.
For more accurate P&L in "Strategy Tester" modify the settings as below:
Under "Properties" tab
--Change "Order Size" value (default is 1) and type from "% of equity" to "Contract".
--Add "Commission". For me commission was "0.07 %".
Strategy Explanation
Trend Following: The strategy uses EMA crossovers (17 vs. 31) to detect momentum shifts, with VWAP and SMA (69) acting as filters to confirm the broader trend.
Reversal Mechanism: It allows switching directly from long to short (or vice versa) by closing the existing position before entering the new one.
Exit Strategy: Faster EMAs (8 and 9) are used for exits, making the strategy sensitive to short-term reversals while avoiding premature exits during strong trends.
Risk Management: The use of multiple filters (VWAP, SMA) reduces false signals, though it may delay entries in fast-moving markets.
How It Works:
Bullish Scenario: If the 17-period EMA crosses above the 31-period EMA, and the price is above both VWAP and the 69-period SMA, a long position is opened. It exits when the 8-period EMA crosses below the 9-period EMA.
Bearish Scenario: If the 17-period EMA crosses below the 31-period EMA, and the price is below both VWAP and the 69-period SMA, a short position is opened. It exits when the 8-period EMA crosses above the 9-period EMA.
Reversal: If a short position is active and a long signal triggers, the short is closed before entering the long (and vice versa).
Potential Strengths
Combines momentum (EMA crossovers) with trend confirmation (VWAP, SMA).
Reversal logic allows flexibility in choppy markets.
Visual indicators make it easy to monitor signals.
Potential Weaknesses
Multiple conditions may reduce trade frequency, missing some opportunities.
Sensitivity to EMA periods; defaults (17, 31, 8, 9, 69) may not suit all assets or timeframes.
No explicit stop-loss or take-profit logic, relying solely on EMA exits.
Moving Average Tolerance BandsDraws a set of Moving Averages with a dynamic band around each average. The band acts as tolerance, to recognize even near-by touches of specified moving averages.
2m 20T Trend Reversal SignalsI don't understand this generation. I kissed like 5 fricking girls and one of them have a boyfriend. I swear at one point she was gonna start fricking me. Like what the frick.
Ultimate MA & PSAR [TARUN]Overview
This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking.
Key Features
✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length.
✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels.
✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on:
Price action relative to MA
MA trend direction (rising or falling)
PSAR confirmation
✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement.
✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically.
✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format.
How It Works
1.Buy (Long) Condition:
MA is rising
Price is above the MA
PSAR is below price
2.Sell (Short) Condition:
MA is falling
Price is below the MA
PSAR is above price
3.Stop Loss Handling:
For long trades → stop loss is set at the lowest low of the last X candles
For short trades → stop loss is set at the highest high of the last X candles
4.Trade Execution & PnL Calculation:
If a valid long/short setup is detected, a pending signal is placed.
On the next bullish (for long) or bearish (for short) candle, the trade is confirmed.
Real-time PnL updates help track trade performance.
Customization Options
🔹 Moving Average: SMA or EMA, adjustable period
🔹 PSAR Settings: Start, Increment, Maximum step values
🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement
🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right)
🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually
How to Use
Add the indicator to your chart.
Customize the MA & PSAR settings according to your trading strategy.
Follow the dashboard signals for trade setups.
Use stop loss levels to manage risk effectively.
Disclaimer
⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
QT KAMAUse a longer-term KAMA to define the bigger trend and a shorter-term KAMA for trading signals. For example, KAMA (10,5,30) could be used as a trend filter and be deemed bullish when rising. Once bullish, chartists could then look for bullish crosses when price moves above KAMA (10,2,30) and vice-versa.
Multi-Symbol EMA Status Table🔍 Multi-Symbol EMA Trend Scanner Table
This script displays a clean, customizable table showing whether the price of up to 16 different assets is above or below a user-defined EMA, on a per-symbol and per-timeframe basis.
✅ Supports up to 16 symbols, each with:
Custom exchange + ticker (e.g., BINANCE:BTCUSDT.P, PEPPERSTONE:EURUSD)
Custom timeframe (e.g., 15, 60, 240, D, W)
Custom EMA length (e.g., 50, 100, 200)
🧩 Fully customizable visuals:
Table position (top, middle, bottom + left, center, right)
Text size and text color
Background color for "above" and "below" EMA
Optional ✅❌ emojis
📊 The table updates live on your main chart — no switching required!
💡 Great for:
Monitoring trend direction across multiple markets
Spotting trend alignment (e.g., price above 200 EMA on 4H + 1D)
Multi-asset swing trading or scalping strategies
📘 How to Use:
Open a chart and add the indicator from your scripts.
In the settings panel:
Enter any symbol (with exchange prefix, like BINANCE:BTCUSDT.P or OANDA:EURUSD)
Set a timeframe (e.g., "15" for 15min, "60" for 1h, "D" for daily)
Choose your EMA length (e.g., 200)
Repeat for as many symbols as you need (up to 16).
Customize table visuals:
Position on the screen
Font size and color
Enable/disable emojis ✅❌
Watch the table update live!
🧠 Optional Tips:
Use different colors or groupings to track asset classes (crypto, forex, stocks).
Combine it with your favorite entry/exit signals for confirmation.
Try setting all symbols to the same EMA (e.g., 200) but with different timeframes to monitor multi-timeframe alignment.
MULTI MEDIAAllows you to insert 5 different MA into the graph with a single script.
For each MA you can select whether SMA or EMA, the length and the data source.
When each MA has a lower value than the previous value the line turns red (you can customize all the colors for UP and DOWN).
MemeSaurus Money Flow CipherThis is a starting point based on common elements in open-source clones and community discussions. Since I don’t have access to the proprietary Market Cipher code, you may need to tweak it further by comparing it to the original indicator’s behavior on a chart.
EMA Ribbon Indicator with VWAP"EMA Ribbon Indicator with VWAP" that overlays on a TradingView chart. It features a ribbon between a Fast 9-period EMA and a Slow 21-period EMA, colored green when the 9 EMA is above the 21 EMA (bullish) and red when below (bearish). Additionally, it includes a Volume-Weighted Average Price (VWAP) line, which resets daily, weekly, or monthly based on user input. The indicator helps traders visualize EMA crossovers and price relative to VWAP for trend and support/resistance analysis.
EMA or SMA Cloud with Third MAThis script will now plot three moving averages on the chart: a fast one, a slow one, and a third one. The area between each pair of moving averages will be filled with a green or red cloud based on whether the first moving average is above or below the second one.
Fast vs Slow MA Cloud: Between the fast and slow moving averages.
Slow vs Third MA Cloud: Between the slow and third moving averages.
You can adjust the lengths of the moving averages and choose between EMA or SMA for all three.
Let me know if this works or if you'd like any further modifications!
KAMA Stdev🚀 Trading View Alert! 🌟
Take your trading strategy to the next level with the KAMA Stdev Indicator! Designed with precision, this script combines the power of KAMA (Kaufman's Adaptive Moving Average) with Standard Deviation Bands for enhanced market insights 📈.
✨ Key Features:
💡 Perfect for traders seeking a dynamic tool for identifying market trends and volatility with ease.
💻 Code licensed under MPL 2.0 and developed by the QuantzTrader!
Check for Price hitting Standard Deviation 3, the price will generally come back to KAMA
