2-(Smart Money Concepts)(VWAP)(HMA)The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold market conditions.
Overbought levels: RSI above 70 suggests the asset may be overbought and a price correction could follow.
Bands and Channels
6 Exponential Moving Averages 2 SMA6 EMA Trend Indicator
This indicator plots 6 Exponential Moving Averages (EMAs) with customizable periods to help traders visually analyze short-, medium-, and long-term trend alignments. Ideal for identifying trend strength, pullback zones, and dynamic support/resistance.
Features:
• 6 fully adjustable EMA inputs
• Clear color-coded visualization
• Works on all timeframes
• Effective for trend trading and scalping
Use it to confirm trend direction, spot EMA crossovers, or align multiple EMAs for high-probability entries.
BLCKBOX EMA Cross StudyThe BLCKBOX EMA Cross Study is a simple EMA ribbon overlayed on the chart with the following timeframes;
7, 14, 21, 42, 90, 180
I hope you find this indicator useful. I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money!
BLCKBOX indicators include;
BLCKBOX Buying / Selling Sentiment
BLCKBOX MACD Indicator
BLCKBOX Relative Strength Index
BLCKBOX Crypto Bear Market Prediction
BLCKBOX Stochtastic
BLCKBOX EMA Cross Study
If you find this or any other indicator useful and wish to show your gratitude, you may!
Doge
DJwW7XazGk2R8nXjt8y5ydQfGKYSz3XV3h
Litecoin
ltc1qh8t4dmz8sugjcd5unn0g49985u0tz5gs6kf98y
Bitcoin
bc1q0deh9t9w9tm3qgd3npn7965rzel35qumez7m5v
Ethereum
0xa23a7bbde03ea31f5cce4b115c8ef1ea8bc9f467
Pepe
Pr7DZSXKwVGv7LYhRQ9oSuuWxUecc3Dvwq
JOHNNY FIBONACCI BANDSwe got the 5,8,13,21,34 AND 55 MAKING A NICE BAND TO TELL YOU YOU AND YOU THE TREND to maximize gains and minimize losses
Ready to rock?
Bollinger Bands Sigma 1-7Length defaults to 200 for 200 DMA.
Uses standard deviation bands so you can easily see when prices hit extreme sigma deviations (like 4σ or beyond).
Ready to use in latest TradingView Pine Editor.
Advanced Donchian ChannelsJust an indicator I got ChatGPT to cook up for my own use, sharing it in case anyone else finds it useful. I have included a screenshot of my own settings as well for reference.
This indicator enhances the classic Donchian Channel with powerful contextual features to support modern breakout and volatility-based trading strategies.
🔹 Core Features:
Donchian Bands: Plots the highest high and lowest low over a configurable lookback period.
Dynamic Fill Shading:
- Color-coded based on the slope of the midline (Basis): Default settings are Green for uptrend, Red for downtrend, Silver for flat, Gray for narrow volatility.
- All fill colors are fully customizable.
Volatility Filter:
- Detects when the channel width is narrow using either a fixed value or a percentage of price.
- Optionally shades only during low-volatility (compression) periods.
Customizable Style:
- Adjustable opacity, offsets, and color settings to suit your charting style.
🛠 Use Cases:
- Spot potential breakout setups after periods of low volatility.
- Identify trend direction via basis slope shading.
- Combine with momentum or volume tools for high-probability entries.
BB 20-2 + RSI-10 + Stoch 14-3-3 | 5-minOn the 1-minute chart, using the indicators Stochastic %K/%D, RSI-10 and Bollinger Bands (20-period MA ± 2 σ):
Buy setup:
When RSI-10 is below 29, Stochastic %K/%D is below 19, and at least one candle touches the lower Bollinger band, open a long trade.
Sell setup:
When RSI-10 is above 72, Stochastic %K/%D is above 81, and at least one candle touches the upper Bollinger band, open a short trade.
External Signals Strategy Tester v5External Signals Strategy Tester v5 – User Guide (English)
1. Purpose
This Pine Script strategy is a universal back‑tester that lets you plug in any external buy/sell series (for example, another indicator, webhook feed, or higher‑time‑frame condition) and evaluate a rich set of money‑management rules around it – with a single click on/off workflow for every module.
2. Core Workflow
Feed signals
Buy Signal / Sell Signal inputs accept any series (price, boolean, output of request.security(), etc.).
A crossover above 0 is treated as “signal fired”.
Date filter
Start Date / End Date restricts the test window so you can exclude unwanted history.
Trade engine
Optional Long / Short enable toggles.
Choose whether opposite signals simply close the trade or reverse it (flip direction in one transaction).
Risk modules – all opt‑in via check‑boxes
Classic % block – fixed % Take‑Profit / Stop‑Loss / Break‑Even.
Fibonacci Bollinger Bands (FBB) module
Draws dynamic VWMA/HMA/SMA/EMA/DEMA/TEMA mid‑line with ATR‑scaled Fibonacci envelopes.
Every line can be used for stops, trailing, or multi‑target exits.
Separate LONG and SHORT sub‑modules
Each has its own SL plus three Take‑Profits (TP1‑TP3).
Per TP you set line, position‑percentage to close, and an optional trailing flag.
Executed TP/SLs deactivate themselves so they cannot refire.
Trailing behaviour
If Trail is checked, the selected line is re‑evaluated once per bar; the order is amended via strategy.exit().
3. Inputs Overview
Group Parameter Notes
Trade Settings Enable Long / Enable Short Master switches
Close on Opposite / Reverse Position How to react to a counter‑signal
Risk % Use TP / SL / BE + their % Traditional fixed‑distance management
Fibo Bands FIBO LEVELS ENABLE + visual style/length Turn indicator overlay on/off
FBB LONG SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a long is open
FBB SHORT SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a short is open
Line choices: Basis, 0.236, 0.382, 0.5, 0.618, 0.764, 1.0 – long rules use lower bands, short rules use upper bands automatically.
4. Algorithm Details
Position open
On the very first bar after entry, the script checks the direction and activates the corresponding LONG or SHORT module, deactivating the other.
Order management loop (every bar)
FBB Stop‑Loss: placed/updated at chosen band; if trailing, follows the new value.
TP1‑TP3: each active target updates its limit price to the selected band (or holds static if trailing is off).
The classic % block runs in parallel; its exits have priority because they call strategy.close_all().
Exit handling
When any strategy.exit() fires, the script reads exit_id and flips the *_Active flag so that order will not be recreated.
A Stop‑Loss (SL) also disables all remaining TPs for that leg.
5. Typical Use Cases
Scenario Suggested Setup
Scalping longs into VWAP‐reversion Enable LONG TP1 @ 0.382 (30 %), TP2 @ 0.618 (40 %), SL @ 0.236 + trailing
Fade shorts during news spikes Enable SHORT SL @ 1.0 (no trail) and SHORT TP1,2,3 on consecutive lowers with small size‑outs
Classic trend‑follow Use only classic % TP/SL block and disable FBB modules
6. Hints & Tips
Signal quality matters – this script manages exits, it does not generate entries.
Keep TV time zone in mind when picking start/end dates.
For portfolio‑style testing allocate smaller default_qty_value than 100 % or use strategy.percent_of_equity sizing.
You can combine FBB exits with fixed‑% ones for layered management.
7. Limitations / Safety
No pyramiding; the script holds max one position at a time.
All calculations are bar‑close; intra‑bar touches may differ from real‑time execution.
The indicator overlay is optional, so you can run visual‑clean tests by unchecking FIBO LEVELS ENABLE.
Higher Timeframe TrendMap [BigBeluga]🔵HTF TrendMap
A powerful visual overlay that brings higher timeframe market structure directly onto your intraday chart.
This tool maps directional bias, trend strength, and dynamic range boundaries from a user-selected HTF (like Daily or 4H), offering a real-time confluence layer for scalpers, day traders, and swing traders.
By plotting the evolving average (HL2), it acts as a volatility-weighted trend anchor, allowing you to align lower timeframe entries with higher timeframe intent.
Technical Overview:
At the close of each higher timeframe (HTF) candle, the indicator stores the high, low, and calculates the HL2 midpoint. These values are then referenced on the lower timeframe chart to plot trend direction and price boundaries.
🔵 KEY FEATURES
Maps the selected higher timeframe (HTF) (e.g., Daily) onto your current chart.
At the close of each HTF candle , it starts to calculate and store the highest, lowest, and average (HL2) price levels .
The average (HL2) value is treated as the HTF trend baseline —plotted in orange for uptrend , blue for downtrend .
Visual curve thickens and fades to show progress through the HTF period (stronger color = fresher data).
Horizontal dashed lines show HTF high and low levels that persist until the next period closes.
On every HTF close, two price labels are printed for the high and low levels.
Vertical separators visually mark the start of each HTF candle for easy structural recognition.
A real-time dashboard shows selected HTF, current trend direction (🢁/🢃), and updates dynamically.
🔵 HOW TO USE
Use the HTF average line as a bias filter —only long when the trend is up (orange), short when down (blue).
HTF high/low labels help identify key breakout or rejection zones .
Combine with intraday systems or reversal tools for multi-timeframe confluence setups .
Ideal for scalpers and swing traders who rely on HTF momentum shifts .
🔵 CONCLUSION
HTF TrendMap provides a clean, data-rich layer of higher timeframe context to any chart. With adaptive trend coloring, volatility mapping, and real-time data labeling, it enables traders to stay in sync with macro structure while executing on the micro.
Algoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for Algoguy specs for Scott's Zone Traders Algoguy
bands are:
short term: 7-14 ema in 1 step increments
long term: 30-60 ema in 2 step increments
the oscillator shows:
trend strength in the distance away from the 0 line
compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation
band cross over
buy and sell signals
UltraAlgoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for UltraGuppy specs for Scott's Zone Traders Algoguy++ (courtesy Anthony Algoguy's updated specs)
bands are:
short term: 10-120 ema in 2 step increments
long term: 150-300 ema in 2 step increments
the oscillator shows:
trend strength in the distance away from the 0 line
compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation
band cross over
buy and sell signals
Global M2 by Colin Talks Crypto // Days Offset =// This Pine Script® code is subject to the terms of the Mozilla Public License
//@version=6
indicator(title = "Global M2 10-Week Lead (for bitcoin)", shorttitle = 'Global M2', overlay=true, scale=scale.left)
// Slide weeks input (in weeks)
slide_weeks = input.int(defval=10, title="Slide Weeks Forward", minval=0, maxval=52, tooltip="Number of weeks to slide the indicator forward")
// Enable settings for each country's M2
usa_active = input(true, title = "USM2 (USA Money Supply)")
europe_active = input(true, title = "EUM2 (Eurozone Money Supply)")
china_active = input(true, title = "CNM2 (China Money Supply)")
japan_active = input(true, title = "JPM2 (Japan Money Supply)")
uk_active = input(true, title = "UKM2 (United Kingdom Money Supply)")
canada_active = input(true, title = "CAM2 (Canada Money Supply)")
australia_active = input(true, title = "AUM3 (Australia Money Supply)")
india_active = input(true, title = "INM2 (India Money Supply)")
korea_active = input(true, title = "KRM2 (South Korea Money Supply)")
brazil_active = input(true, title = "BRM2 (Brazil Money Supply)")
russia_active = input(true, title = "RUM2 (Russia Money Supply)")
switzerland_active = input(true, title = "CHM2 (Switzerland Money Supply)")
mexico_active = input(true, title = "MXM2 (Mexico Money Supply)")
indonesia_active = input(true, title = "IDM2 (Indonesia Money Supply)")
turkey_active = input(true, title = "TRM2 (Turkey Money Supply)")
saudi_active = input(true, title = "SAM2 (Saudi Arabia Money Supply)")
argentina_active = input(true, title = "ARM2 (Argentina Money Supply)")
southafrica_active = input(true, title = "ZAM2 (South Africa Money Supply)")
// Daily timeframe for economic data
tf = "D"
// Get M2 data for each country and convert to USD
us_m2 = usa_active ? request.security("ECONOMICS:USM2", tf, close) : 0
eu_m2 = europe_active ? request.security("ECONOMICS:EUM2", tf, close) * request.security("FX_IDC:EURUSD", tf, close) : 0
china_m2 = china_active ? request.security("ECONOMICS:CNM2", tf, close) * request.security("FX_IDC:CNYUSD", tf, close) : 0
japan_m2 = japan_active ? request.security("ECONOMICS:JPM2", tf, close) * request.security("FX_IDC:JPYUSD", tf, close) : 0
uk_m2 = uk_active ? request.security("ECONOMICS:GBM2", tf, close) * request.security("FX_IDC:GBPUSD", tf, close) : 0
canada_m2 = canada_active ? request.security("ECONOMICS:CAM2", tf, close) * request.security("FX_IDC:CADUSD", tf, close) : 0
australia_m2 = australia_active ? request.security("ECONOMICS:AUM3", tf, close) * request.security("FX_IDC:AUDUSD", tf, close) : 0
india_m2 = india_active ? request.security("ECONOMICS:INM2", tf, close) * request.security("FX_IDC:INRUSD", tf, close) : 0
korea_m2 = korea_active ? request.security("ECONOMICS:KRM2", tf, close) * request.security("FX_IDC:KRWUSD", tf, close) : 0
brazil_m2 = brazil_active ? request.security("ECONOMICS:BRM2", tf, close) * request.security("FX_IDC:BRLUSD", tf, close) : 0
russia_m2 = russia_active ? request.security("ECONOMICS:RUM2", tf, close) * request.security("FX_IDC:RUBUSD", tf, close) : 0
switzerland_m2 = switzerland_active ? request.security("ECONOMICS:CHM2", tf, close) * request.security("FX_IDC:CHFUSD", tf, close) : 0
mexico_m2 = mexico_active ? request.security("ECONOMICS:MXM2", tf, close) * request.security("FX_IDC:MXNUSD", tf, close) : 0
indonesia_m2 = indonesia_active ? request.security("ECONOMICS:IDM2", tf, close) * request.security("FX_IDC:IDRUSD", tf, close) : 0
turkey_m2 = turkey_active ? request.security("ECONOMICS:TRM2", tf, close) * request.security("FX_IDC:TRYUSD", tf, close) : 0
saudi_m2 = saudi_active ? request.security("ECONOMICS:SAM2", tf, close) * request.security("FX_IDC:SARUSD", tf, close) : 0
argentina_m2 = argentina_active ? request.security("ECONOMICS:ARM2", tf, close) * request.security("FX_IDC:ARSUSD", tf, close) : 0
southafrica_m2 = southafrica_active ? request.security("ECONOMICS:ZAM2", tf, close) * request.security("FX_IDC:ZARUSD", tf, close) : 0
// Calculate total liquidity (In Trillions USD)
total = (us_m2 + eu_m2 + china_m2 + japan_m2 + uk_m2 + canada_m2 + australia_m2 + india_m2 + korea_m2 + brazil_m2 + russia_m2 + switzerland_m2 + mexico_m2 + indonesia_m2 +
turkey_m2 + saudi_m2 + argentina_m2 + southafrica_m2) / 1000000000000
// Calculate minutes per bar based on timeframe
var float minutes_per_bar = 0
if timeframe.isminutes
minutes_per_bar := timeframe.multiplier * 1
else if timeframe.isdaily
minutes_per_bar := timeframe.multiplier * 1440 // 1440 minutes = 1 day
else if timeframe.isweekly
minutes_per_bar := timeframe.multiplier * 10080 // 10080 minutes = 1 week
else if timeframe.ismonthly
minutes_per_bar := timeframe.multiplier * 43200 // 43200 minutes ≈ 1 month (30 days)
// Convert weeks to bars: (weeks * days/week * minutes/day) / minutes_per_bar
bars_offset = math.round(slide_weeks * 7 * 1440 / minutes_per_bar)
// Plot total liquidity with dynamic offset
plot(total, offset=bars_offset, color=color.blue, linewidth=2)
DECODE Multi SMA EMANo need to keep reconfiguring your moving averages. Set up to 10 moving averages, 5 x SMA and 5 x EMA, and optionally apply coloured shading between pairs. Once it's set up, just turn them on or off as needed!
Bollinger Band Squeeze (5%)This identifies and highlights, within the Bollinger Bands, a squeeze of 5% or less.
Thank you Chat GPT
Moving Average with Proximity ColorThis plots the 5 SMA and changes color based on the following:
Default: Orange
Price close to SMA by Percent: Green
SMA flattening based on threshold: Red
AL-SAT Sinyali (Dip AL + Heikin Ashi)Buy: Combines RSI, MACD, volume, and trend signals
Sell: RSI>70 + MACD cross down
Target: Auto 10% line, profit shown
Dip Buy: RSI<30 + dip zone + HA bullish
Note: Use with context; HA may delay signals.
200 Trading Day High Volume//@version=5
indicator("200 Trading Day High Volume", overlay=true)
// Define lookback period (200 trading days)
lookback = 200
// Get highest volume in the last 200 bars (excluding current bar)
highest_vol = ta.highest(volume , lookback)
// Check if today's volume is higher than the previous 200 days
is_highest_today = volume > highest_vol
// Plot signal on chart below the bar when today's volume is the highest in 200 days
plotshape(is_highest_today, title="Highest Volume in 200 Days", location=location.belowbar, color=color.red, style=shape.labelup, text="200D High Vol")
// Optional: Display volume on chart as columns (uncomment if needed)
// plot(volume, title="Volume", color=color.gray, style=plot.style_columns)
VWAP table with color
## 📊 VWAP Table with Color – Clear VWAP Deviation at a Glance
This script displays a **VWAP (Volume-Weighted Average Price)** table in a non-intrusive, color-coded panel on your chart. It helps you **quickly assess where the current price stands relative to VWAP**, classified into sigma bands (standard deviations). The goal is to provide valuable VWAP insight **without cluttering the chart with multiple lines**.
---
### 🔍 Purpose & Concept
VWAP is a powerful tool used by institutional traders to measure the average price an asset has traded at throughout the day, based on both volume and price.
In this script:
- We **do not plot traditional VWAP lines** with multiple ±1σ, ±2σ, etc., on the chart.
- Instead, we **summarize VWAP and its relative position in a table**, color-coded by deviation.
- This provides the **same information**, but in a **cleaner, minimal, and visually digestible format**.
---
### 🧠 VWAP Deviation Classification
The script calculates how far the current price is from the VWAP, in units of **standard deviation (σ)**.
The formula is:
```plaintext
VWAP Delta σ = (Current Price - VWAP) / Standard Deviation
```
This gives you a normalized value for deviation from VWAP, and it is **clamped between -3 and +3** to avoid extreme outliers.
Each range is color-coded and classified as:
| VWAP Δσ | Zone | Interpretation | Color |
|---------|---------------|------------------------------------------|--------------|
| -3σ | Far Below | Strongly below VWAP – potentially oversold | 🔴 Red |
| -2σ | Below | Below VWAP – bearish territory | 🟠 Orange |
| -1σ | Slightly Below| Slightly under VWAP – weak signal | 🟡 Yellow |
| 0σ | At VWAP | Price is around VWAP – neutral zone | ⚪ Gray |
| +1σ | Slightly Above| Slightly above VWAP – weak bullish | 🟢 Lime Green |
| +2σ | Above | Above VWAP – bullish signal | 🟢 Green |
| +3σ | Far Above | Strongly above VWAP – potentially overbought | 🟦 Teal |
This **compact summary in the table** provides a clear situational view while keeping the chart clean.
---
### ⚙️ User Customization
Users can configure:
- **VWAP σ Multiplier** (default 0.1) to set the width of the optional VWAP band on the chart.
- **Table Position** (Top Center, Bottom Right, etc.).
- **Text Size** and **Text Color**.
- **Hide VWAP logic**: VWAP data can be hidden automatically on higher timeframes (e.g., daily or weekly).
- **Enable/disable the VWAP ±σ band lines** (optional visual aid).
---
### 📐 Technical Highlights
- VWAP is recalculated each day using `ta.vwap(hlc3, isNewPeriod, 1)`.
- The band width uses standard deviation and the selected multiplier: `VWAP ± σ * multiplier`.
- Table updates dynamically with the new VWAP values each day.
- To **avoid floating-point rounding issues**, `vwapDelta` is rounded before comparison, ensuring correct background color display.
---
### ✅ Why Use This?
- Keeps your chart **visually clean and readable**.
- Gives **immediate context** to current price action relative to VWAP.
- Helps **discretionary traders** or **scalpers** decide whether price is stretched too far from the mean.
- Easier than tracking multiple σ bands manually.
---
### Example Usage:
- On intraday timeframes, you can identify price exhaustion as it hits ±2σ or ±3σ.
- On a 5-minute chart, if price touches `+3σ`, you may consider taking profits on longs.
- On reversal setups, watch for price at `-3σ` with bullish divergence.
---
### 🧩 Future Enhancements (Optional Ideas)
- Add alerts for when `vwapDelta` crosses thresholds like ±2σ or ±3σ.
- Let user select the timeframe for VWAP source (e.g., 1H, 5M, etc.).
- Extend to display VWAP on session or weekly basis.
---
Let me know if you want a version of this script formatted and cleaned up for direct TradingView publication (with annotations, credits, and formatting). Would you like that?
Elliott Waves Auto (Waves 1–3)//@version=5
indicator("Elliott Waves Auto (Waves 1–3)", overlay=true)
pivotLen = input.int(5, "Pivot Lookback", minval=1)
// === كشف القمم والقيعان ===
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float wave1Low = na
var float wave1High = na
var float wave2Low = na
var float wave3High = na
var int wave1LowBar = na
var int wave1HighBar = na
var int wave2LowBar = na
var int wave3HighBar = na
// === اكتشاف موجة 1 ===
if pl and na(wave1Low)
wave1Low := low
wave1LowBar := bar_index - pivotLen
if ph and not na(wave1Low) and na(wave1High)
wave1High := high
wave1HighBar := bar_index - pivotLen
// === اكتشاف موجة 2 ===
if pl and not na(wave1High) and na(wave2Low)
wave2Low := low
wave2LowBar := bar_index - pivotLen
// === اكتشاف موجة 3 ===
if ph and not na(wave2Low) and na(wave3High)
possibleWave3 = high
if possibleWave3 > wave1High
wave3High := possibleWave3
wave3HighBar := bar_index - pivotLen
// === رسم الموجات ===
if not na(wave1Low) and not na(wave1High)
line.new(wave1LowBar, wave1Low, wave1HighBar, wave1High, color=color.blue, width=2)
label.new(wave1LowBar, wave1Low, text="Wave 1", style=label.style_label_up, color=color.blue, textcolor=color.white)
if not na(wave1High) and not na(wave2Low)
line.new(wave1HighBar, wave1High, wave2LowBar, wave2Low, color=color.orange, width=2)
label.new(wave2LowBar, wave2Low, text="Wave 2", style=label.style_label_down, color=color.orange, textcolor=color.white)
if not na(wave2Low) and not na(wave3High)
line.new(wave2LowBar, wave2Low, wave3HighBar, wave3High, color=color.green, width=2)
label.new(wave3HighBar, wave3High, text="Wave 3", style=label.style_label_up, color=color.green, textcolor=color.white)
XAUUSD Strategy with Visual DivergenceThis strategy is designed to capture high-probability trend-continuation trades on XAUUSD (Gold/US Dollar) by combining trend-following logic with momentum-based divergence detection. It uses the 200-period Exponential Moving Average (EMA) to filter for the prevailing trend and the Relative Strength Index (RSI) to identify bullish and bearish divergences as early entry signals. The strategy incorporates a risk-reward profile of 2:1, making it suitable for both swing and intra-day traders.
Ultimate Crossover Indicator (Tablolu & Bar Hizalı)Komut dosyası tüm geçerli indikatörleri orta ve kısa vade için toplu olarak grafik üzerinde gösteriyor. tablo üzerinde çizgi açıklamaları var. İnceleyip kullanabilirsiniz. :)
Ultimate Crossover Indicator (EMA, MACD, RSI, QQE, ATR)
📌 This indicator analyzes trend direction and momentum crossovers to generate the most reliable buy and sell signals.
✅ A live indicator panel is displayed at the top center of the chart showing real-time EMA, MACD, RSI, QQE, and ATR values.
✅ Indicators are aligned with price levels for better readability and accuracy.
✅ MACD and QQE crossovers confirm trend reversals with greater precision.
✅ RSI identifies overbought and oversold conditions to filter out false signals.
✅ ATR measures volatility, helping set safer stop-loss levels.
💡 Optimized for minute and hourly charts! This is a perfect tool for traders looking to enhance their market analysis on TradingView.
🚀 Use this indicator on TradingView to identify buy and sell opportunities more clearly! 📊
✅ This description is ready for publishing! Let me know if you need any refinements. 🚀😃