Currency Strength AnalyzerThis indicator calculates and ranks the strength of eight major currencies (AUD, CAD, CHF, EUR, GBP, JPY, NZD, USD) based on a stochastic-based scoring system. It retrieves forex pair data and determines each currency's relative strength using a customized scoring method.
Features:
Uses stochastic (Stoch) indicators to calculate bullish/bearish strength.
Aggregates scores for each currency based on multiple forex pairs.
Sorts currencies from strongest to weakest.
Displays results in a dynamically updated table.
Highlights the strongest and weakest currencies on the chart.
This tool helps traders identify potential trends and reversals in the forex market by visually comparing currency strengths in real-time.
Indicatori e strategie
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
Multi-TF Volume & Price Analysis[BullByte]This indicator offers a comprehensive view of market dynamics by combining volume and price analysis across multiple timeframes. It calculates key metrics—such as bullish/bearish volume percentages, relative volume (RVol), cumulative volume delta (CVD), and price change percentages—for each timeframe that you choose (for example, 1, 3, 5, and 15 minutes). Here are the main features in simple terms:
- Multi-Timeframe Analysis:
The tool analyzes volume and price action from four different timeframes simultaneously. This means you get insights from short-term and slightly longer-term trends in one view.
- Volume Breakdown:
It splits the volume into bullish and bearish parts by comparing closing and opening prices. This helps you see how much of the trading volume is driving the market upward versus downward.
- Relative Volume & Spike Detection:
It calculates relative volume (current volume compared to a moving average) and flags any significant volume spikes based on a customizable multiplier. This feature helps identify unusual trading activity.
- Volume Smoothing Option:
For a cleaner signal, you can enable a smoothing option (using an exponential moving average) to reduce noise in the volume data.
- Advanced Summary:
The indicator combines volume data, price changes, and volume spikes to produce an overall market summary for each timeframe—labeling conditions as “Bullish Strong,” “Bullish Moderate,” “Bearish Strong,” “Bearish Moderate,” or “Neutral.”
- Cumulative Overview:
In addition to individual timeframe analysis, it aggregates the data to offer a cumulative view. This includes a collective bullish/bearish percentage, overall CVD, and even a simplified volume level (Low, Normal, or High).
- Customizable Dashboard:
All these metrics are neatly displayed in a dashboard on the chart. You can customize its position and text size. The dashboard uses dynamic, color-coded cells to instantly convey the market sentiment—making it easy to spot trends at a glance.
- VWAP Integration:
Finally, the dashboard includes VWAP information, providing an additional layer of context to the price action.
Overall, this indicator is designed to provide a quick yet thorough snapshot of market conditions, enabling traders to make more informed decisions with a clear visual representation of volume and price activity across different timeframes.
Segnali C/V (Ibrido LinReg + ATR)“Discover the new LinReg + ATR Hybrid Bot: your compass in the markets!
Forget old static strategies: our system integrates the power of Linear Regression with the ATR indicator, detecting buying and selling opportunities in real time based on volatility and trends. Simple to use, quick to make decisions and designed to follow the market with intelligent trailing stops, the Hybrid Bot helps you maximize your entries and protect your profits. Try it now and take your trading to the next level!”
Advanced Renko Dashboard v6.9The Advanced Renko Dashboard consolidates essential Renko-specific information into a single, customizable on-chart table. Get a quick overview of current conditions, including price/ATR/box size, session performance, momentum via RSI, estimated volume activity, key Renko S/R levels, and trend characteristics, helping Renko traders make more informed decisions.
Scalp Momentum1. EMA + Volume Scalping
Setup:
5-minute chart
8 EMA (fast) and 21 EMA (slow)
Volume > 1.5x average volume
Entry:
Buy when price crosses above 8 EMA with surging volume.
Sell when price crosses below 8 EMA with rising volume.
Exit:
Target: 0.5-1% profit (e.g., ₹5-10 for ₹1,000 stock)
Stop-loss: 0.3-0.5% below entry.
Donchian Channel Trend Tracker by KellyLikesCrypto### Overview
This indicator is written in Pine Script® (version 6) and is designed to overlay on a price chart. It combines the classic Donchian Channel—a tool popular among trend-following traders—with additional trend-tracking features. By identifying when the channel’s highs and lows are making new extreme values, the indicator helps signal potential trend shifts. It is especially suited for scalpers using 1-hour charts, as it provides clear, actionable signals for rapid entry and exit decisions.
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### Key Components & Inputs
1. **User Inputs:**
- **Length:** The period over which the indicator calculates the highest high and the lowest low (default is 27 bars). This value can be adjusted to smooth or tighten the channel based on the trader’s preference.
- **Offset:** A parameter allowing the plotted lines to be shifted left or right on the chart, providing flexibility in aligning the indicator with price action.
2. **Donchian Channel Calculations:**
- **Lower Bound (`lower`):** Calculated using `ta.lowest(length)`, it identifies the lowest low over the defined period.
- **Upper Bound (`upper`):** Determined by `ta.highest(length)`, capturing the highest high during the same period.
- **Basis:** The midline of the channel, computed as the average of the upper and lower bounds. This line can serve as an equilibrium or reference point in the trend analysis.
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### Visual Representation
- **Plotting the Channels:**
- The **basis** is plotted in a standout orange color (#FF6D00) to make the central trend reference easily visible.
- The **upper** and **lower** bounds are plotted in blue (#2962FF), creating clear boundaries for the price action.
- The area between these two lines is filled with a semi-transparent blue, enhancing the visual context of the channel and helping traders quickly assess whether price is near an extreme or within a normal range.
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### Trend Identification Logic
Beyond plotting the basic Donchian Channel, the indicator introduces additional logic to track short-term trend changes:
1. **Higher Highs and Higher Lows:**
- **Higher High (`higherHigh`):** This condition checks if the current upper bound is greater than the previous bar’s upper bound, signaling a potential upward push.
- **Higher Low (`higherLow`):** Similarly, it checks if the current lower bound exceeds the previous bar’s lower bound, reinforcing an upward trend if the support level is rising.
2. **Lower Highs and Lower Lows:**
- **Lower High (`lowerHigh`):** This evaluates if the current upper bound is less than that of the previous bar, indicating a possible downward shift.
- **Lower Low (`lowerLow`):** It verifies if the current lower bound is lower than the previous bar’s, further confirming a bearish tendency.
The use of the `nz()` function ensures that on the very first bar—where no previous data exists—the code handles the values gracefully without causing errors.
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### Visual Markers for Trend Signals
To make trend signals immediately apparent:
- **Markers are Plotted on the Chart:**
- **Green Labels ("HH" and "HL"):** These are placed on the chart when the indicator detects higher highs or higher lows, suggesting bullish momentum.
- **Red Labels ("LH" and "LL"):** These markers are shown when lower highs or lower lows are detected, indicating bearish pressure.
Each label is plotted either above or below the corresponding bar, ensuring that the chart remains uncluttered and that the trend signals are clear.
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### Scalping Strategy on 1-Hour Charts
This indicator is specifically tailored for scalping strategies on 1-hour charts. Scalping involves capturing small, rapid profits from short-term price movements, and the clear trend signals provided by this tool can help traders pinpoint optimal entry and exit points. Here’s how it integrates into a scalping strategy:
- **Quick Trend Identification:** The green markers (HH and HL) suggest bullish conditions ideal for quick long entries, while the red markers (LH and LL) signal bearish conditions suitable for short entries.
- **Timing and Precision:** On a 1-hour chart, the indicator’s sensitivity to higher highs and lower lows allows traders to make rapid decisions aligned with the prevailing trend.
- **Complementary Analysis:** While the indicator provides fast signals, it is recommended to use it alongside additional tools (like oscillators or volume analysis) and strict risk management practices, ensuring that scalpers can confirm entries and exits efficiently.
By leveraging the indicator’s visual cues within a broader scalping framework, traders can enhance their ability to capture quick moves, thus optimizing their overall strategy on 1-hour timeframes.
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### Conclusion
The “Donchian Channel Trend Tracker by KellyLikesCrypto” is a powerful tool for visualizing price extremes and trend direction. By combining the classical Donchian Channel with additional trend-tracking markers, it offers traders a clear and immediate way to assess whether the market is gaining bullish momentum or beginning to turn bearish. Its customizable parameters and clear visual signals make it particularly effective for a scalping strategy on 1-hour charts, where rapid decision-making is crucial.
This detailed breakdown should provide a comprehensive understanding of how each component of the indicator works together and how it can be effectively integrated into a short-term scalping strategy.
Breakout Candle Indicatorit decide breakout candles. if you higher time frame view fixed. you can use this indicator on lower time frame
Volume Flow Scalper PRO+ (RSI & EMA Filters)
### 📊 Volume Flow Scalper PRO+ Strategy (with RSI & EMA Filters)
**Overview:**
The *Volume Flow Scalper PRO+* is a dynamic momentum-based strategy that leverages volume flow direction, enhanced with RSI and EMA trend filters, to generate precise scalping signals. This tool is designed for intraday and short-term traders who want to capitalize on high-probability buy and sell zones driven by real-time market sentiment.
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**Core Components:**
✅ **Volume Flow Analysis**
Measures the net bullish vs. bearish volume based on price movement (up or down candle) and smooths it using your chosen Moving Average type (EMA, SMA, WMA, or VWMA). This forms the core of signal generation.
✅ **RSI Bias Filter (Optional)**
Filters trades based on RSI momentum. Buy signals require RSI to be above a user-defined level (default: 50), while sell signals require it to be below.
✅ **EMA Trend Filter (Optional)**
Ensures entries align with the trend. Buy signals require price to be above the EMA; sell signals require it to be below.
✅ **VWAP Filter (Optional)**
For traders who favor institutional price levels, this option restricts signals to when price is above (buy) or below (sell) the Volume Weighted Average Price.
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**Signals:**
- 🔼 **Buy Signal**: Triggered when the Volume Flow MA crosses **above** a threshold, with filters confirming bullish conditions.
- 🔽 **Sell Signal**: Triggered when the Volume Flow MA crosses **below** a negative threshold, with filters confirming bearish conditions.
---
**Strategy Features:**
- 📈 **Customizable Take Profit / Stop Loss** levels based on percentage distance from entry.
- 🔍 **Fully Adjustable Settings** including MA types, thresholds, filter usage, and indicator lengths.
- ⚙️ Works on any timeframe and any market (crypto, forex, stocks, etc.).
---
**Best Use Cases:**
- Scalping on lower timeframes (1m, 5m, 15m)
- Filtering high-quality entries with trend confirmation
- Combining with price action or support/resistance zones
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR)
The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach.
It contains two distinct visual systems:
1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction
2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting
The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking.
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🔧 Inputs (Fibonacci defaults)
ATR Length
Lookback period for ATR calculation (default: 13)
ATR Base Avg. Length
Moving average period used as the zero baseline for histogram (default: 55)
ATR ROC Lookback
Number of bars to measure rate of change for histogram color mapping (default: 8)
Timeframe Override
Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay
Show Ribbon Fill
Toggles colored fill between ATR EMA and HMA lines
Show ATR MAs
Toggles visibility of ATR EMA and HMA lines
Show Crossover Markers
Shows directional triangle markers where ATR EMA and HMA cross
Show Histogram
Toggles the entire histogram display
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📊 Histogram Component: Volatility Energy Profile
The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse.
To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels.
Use the baseline ATR to:
- Compare real-time volatility to previous peaks or troughs
- Monitor how ATR behaves near histogram flips or ribbon crossovers
- Evaluate volatility phases in absolute terms alongside relative momentum
The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems.
Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction.
Color Interpretation:
🔴 Red
Strong volatility expansion
Market entering or deepening into a volatility burst
Seen during breakouts, panic moves, or macro shock events
Often accompanied by large real candle bodies
🟠 Orange
Moderate volatility expansion
Heating up phase, often precedes breakouts
Common in strong trending environments
Signals tightening before acceleration
🟡 Yellow
Mild volatility increase
Transitional state—energy building, not yet exploding
Appears in early trend development or pullbacks
🟢 Green
Mild volatility contraction
ATR cooling off
Seen during consolidation, reversion, or range balance
Good time to assess upcoming directional setups
🔵 Aqua
Moderate compression
Volatility is clearly declining
Signals consolidation within larger structure
Pre-breakout zones often form here
🔵 Deep Blue
Strong volatility compression
Market is coiling or dormant
Can signal upcoming squeeze or fade environment
Often followed by sharp expansion
Opacity scaling:
Brighter bars = efficient, directional price action (strong bodies)
Faded bars = indecision, chop, absorption, or wick-heavy structure
Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility
Opacity = the quality and structure behind it
Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential.
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🪡 Ribbon Component: Volatility Rhythm Structure
The ribbon overlays two moving averages of ATR:
EMA (yellow) – faster, more reactive
HMA (orange) – smoother, more rhythmic
Their relationship creates the ribbon logic:
Yellow fill (EMA > HMA)
Short-term volatility is increasing faster than the longer-term rhythm
Signals active expansion and engagement
Orange fill (HMA > EMA)
Volatility is decaying or leveling off
Suggests possible exhaustion, pullback, or range
Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase.
The ribbon reflects the shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility.
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📐 Strategy Application
Use the Asymmetric Turbulence Ribbon to:
- Detect volatility expansions before breakouts or directional runs
- Spot compression zones that precede structural ruptures
- Visually separate efficient moves from noisy market activity
- Confirm or fade trade setups based on underlying energy state
- Track the volatility environment across multiple timeframes using the override
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🎯 Ideal Timeframes
Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D)
Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup.
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🧬 Customization Tips
- Increase ATR ROC Lookback for smoother color transitions
- Extend ATR Base Avg Length for more macro-driven histogram centering
- Disable the histogram for ribbon-only rhythm view
- Use opacity and color shifts in the histogram to detect stealth energy builds
- Align ATR phases with structure or order flow tools for high-quality setups
Malama's market chop"Malama's Market Chop" (MMC) is a TradingView indicator designed to help traders identify choppy, sideways market conditions where price movement lacks a clear trend. It solves a common problem for traders: avoiding false signals or unprofitable trades during periods of indecision in the market. By measuring market "choppiness" and visually highlighting these zones, MMC empowers users to either steer clear of trades or adjust their strategies (e.g., switching to range-bound tactics) when trends are weak.
How It Works
MMC is built around the Choppiness Index, a mathematical formula that quantifies how much a market is consolidating versus trending. Here’s the simple breakdown:
It looks at the price range (highs and lows) over a user-defined period (default: 14 bars).
It compares the sum of individual bar ranges to the total range across that period, then applies a logarithmic calculation to produce a value between 0 and 100.
A higher value (e.g., above 61.8 by default) indicates a choppy, non-trending market, while a lower value suggests a trending market.
The indicator then uses this data to:
Color the chart background yellow during choppy conditions.
Place a small blue triangle below bars when choppiness is detected.
Show the exact Choppiness Index value as a label on the latest bar for real-time monitoring.
How to Use It
Adding to TradingView: Open TradingView, click the "Indicators" button at the top, search for "Malama's Market Chop" (or paste the script into a new Pine Script editor and save it), and add it to your chart.
Configuring Settings:
Choppiness Period (default: 14): Adjust this to change how many bars the indicator analyzes. Shorter periods (e.g., 10) react faster but may be noisier; longer periods (e.g., 20) smooth the signal.
Choppiness Threshold (default: 61.8): This is the cutoff for what’s considered "choppy." Raise it (e.g., 70) for stricter chop detection or lower it (e.g., 50) to catch milder consolidation.
Interpreting Signals:
Yellow Background: The market is choppy—price is likely bouncing around without direction. Beginners might sit out or use range-trading strategies (e.g., buy low, sell high within the range).
Blue Triangle: A quick visual cue that choppiness is active on that bar.
ChopIndex Label: Check the number. Above the threshold (e.g., 61.8) means choppy; below suggests a trend might be forming.
Tips:
Beginners: Pair MMC with a simple trend indicator (like a moving average) to confirm when to avoid trades during yellow zones.
Pros: Experiment with the threshold on different timeframes (e.g., 5-minute vs. daily) or assets (stocks, forex, crypto) to fine-tune for your trading style.
Originality
What makes MMC stand out is its blend of clarity and practicality. While the Choppiness Index isn’t new, MMC enhances it with:
Visual Simplicity: The yellow background and blue triangles make choppy conditions instantly recognizable, even for beginners, without cluttering the chart.
Real-Time Feedback: The live ChopIndex label keeps you informed without needing to dig into settings or calculations.
Customization: Adjustable period and threshold settings let traders tailor it to their specific needs, unlike many static chop indicators.
This combination transforms a classic concept into a user-friendly, actionable tool that bridges the gap between novice intuition and professional precision.
Sigma Expected Movement)Okay, here's a brief description of what the final Pine Script code achieves:
Indicator Description:
This indicator calculates and plots expected price movement ranges based on the VIX index for daily, weekly, or monthly periods. It uses user-selectable VIX data (Today's Open / Previous Close) and a center price source (Today's Open / Previous Close).
Key features include:
Up to three customizable deviation levels, based on user-defined percentages of the calculated expected move.
Configurable visibility, color, opacity (default 50%), line style, and width (default 1) for each deviation level.
Optional filled area boxes between the 1st and 2nd deviation levels (enabled by default), with customizable fill color/opacity.
An optional center price line with configurable visibility (disabled by default), color, opacity, style, and width.
All drawings appear only within a user-defined time window (e.g., specific market hours).
Does not display price labels on the lines.
Optional rounding of calculated price levels.
Multiple VWMATradingView Indicator: Multiple VWMA
This TradingView indicator allows you to display up to five separate Volume Weighted Moving Averages (VWMAs) directly on your price chart.
What it does:
Plots 5 VWMAs: It calculates and draws five distinct VWMA lines (or other styles) on the chart.
Volume Weighting: Unlike simple moving averages, a VWMA gives more weight to prices where trading volume was higher, potentially offering a clearer picture of the trend strength confirmed by volume.
Highly Customizable: Each of the five VWMAs can be configured independently through the indicator's settings panel. For each one, you can set:
Length: The lookback period (number of bars) used for the calculation.
Source: The price data to use (e.g., close, open, high, low, hl2, etc.).
Timeframe: You can calculate each VWMA based on a different timeframe than the one currently displayed on your chart (e.g., view daily VWMAs on an hourly chart). Leave blank to use the chart's timeframe.
Offset: Shift the VWMA line forwards or backwards on the chart by a specific number of bars.
Style: Choose how each VWMA is displayed (Line, Histogram, or Cross).
Overlay: The VWMAs are plotted directly over the price bars for easy comparison.
Purpose:
This indicator is useful for traders who want to analyze trends using multiple volume-weighted perspectives simultaneously. By comparing VWMAs of different lengths or based on different timeframes, you can gain insights into short-term vs. long-term trends, potential support/resistance levels, and the significance of price movements based on accompanying volume.
Multi-timeframe Trend & Momentum DashboardMulti-Timeframe Trend & Momentum Dashboard
This indicator is a comprehensive multi-timeframe analysis tool designed for traders who want to quickly assess market trends and momentum across several timeframes. It combines trend detection with duration tracking and displays key information in an easy-to-read on-chart table. Key features include:
Multi-Timeframe Analysis:
Analyzes nine different timeframes (from 1-minute up to 1-week) simultaneously, helping you gauge the overall market trend at a glance.
Trend Detection & Duration:
Uses a combination of a short-term EMA and a long-term SMA to determine whether the market is bullish, bearish, or neutral. It also tracks how long the current trend has persisted in terms of consecutive bars and displays this duration next to each timeframe.
RSI Display & Visual Alerts:
Calculates the RSI for each timeframe. RSI values are color-coded—green when above 50 (indicating bullish momentum) and red when below 50 (indicating bearish conditions). Additionally, if the market is bearish on a particular timeframe while the RSI is above 50, the RSI cell flashes yellow to alert you of a potential trend reversal or divergence.
On-Chart Trend Start Markers:
When a new trend is detected on your current chart’s timeframe, the indicator automatically marks the bar with a label showing the new trend direction, providing a clear visual cue for trend changes.
This powerful tool is perfect for traders looking to combine multi-timeframe trend analysis with momentum indicators, enabling a more informed and dynamic trading strategy. Whether you’re a day trader or swing trader, the Multi-Timeframe Trend & Momentum Dashboard brings clarity to market conditions across multiple time horizons.
EMA & RSI & MACD & Stochastic sec TTD
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## **EMA & RSI & MACD – Trend Dashboard by Timeframe**
This script is a **multi-timeframe trend dashboard** that combines several popular technical indicators across key timeframes to give traders a **quick snapshot of trend direction**.
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### 🔍 **What This Indicator Does**
This indicator visually displays the **trend bias** from five key indicators:
- **EMA 50/200**: Long-term trend (classic golden/death cross logic)
- **EMA 5/7/9**: Short-term trend
- **RSI (14)**: Momentum trend using RSI vs its own 14-SMA
- **MACD**: MACD line vs Signal line
- **EMA 5 vs SMA 14**: A unique short-to-mid-term trend perspective
Each trend is represented by an emoji symbol:
- 🟢 **Uptrend**
- 🔴 **Downtrend**
- ⚫️ **Neutral**
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### 🕒 **Covered Timeframes**
You can toggle on/off each timeframe as needed:
- 2H
- 3H
- 4H
- 8H
- 12H
- 1D
These are displayed vertically, with trend indicators across columns, so you can spot multi-timeframe confluence easily.
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### 📊 **Dashboard Features**
- Positioned **on chart** at customizable screen locations (e.g., Middle Right, Bottom Left, etc.)
- **Table color, text size, and emojis** can all be customized in the settings
- **Live updating table** (last bar only) to reduce lag and clutter
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### 📈 **Calculation Logic**
Each trend indicator is derived as follows:
#### ✅ **EMA 5/7/9 Trend**
- 🟢 if 5 > 7 > 9 (short-term bullish)
- 🔴 if 5 < 7 < 9 (short-term bearish)
- ⚫️ otherwise (neutral)
#### ✅ **EMA 50/200 Trend**
- 🟢 if price > EMA50 > EMA200 (classic bullish)
- 🔴 if price < EMA50 < EMA200 (classic bearish)
- ⚫️ otherwise
#### ✅ **RSI Trend**
- 🟢 if RSI > SMA(RSI)
- 🔴 if RSI < SMA(RSI)
- ⚫️ otherwise
#### ✅ **MACD Trend**
- 🟢 if MACD Line > Signal Line
- 🔴 if MACD Line < Signal Line
- ⚫️ otherwise
#### ✅ **EMA 5 vs SMA 14 Trend**
- 🟢 if EMA5 > SMA14
- 🔴 if EMA5 < SMA14
- ⚫️ otherwise
---
### 🛠️ **Customization**
In the settings panel, users can:
- Show/hide each timeframe
- Change the table's position
- Adjust text size and color
- Customize emoji symbols used for trends
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### 📌 Use Case
This dashboard is ideal for:
- **Swing traders** and **intraday traders** monitoring multiple timeframes
- Identifying **trend confluence zones** across indicators
- Making quick, high-confidence trading decisions
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Options Trading Strategy with AlertsTitle: Options Trading Strategy with Buy/Sell Alerts
Description:
This script is designed for day traders and short-term options traders who focus on directional and trend-based trades. It integrates key indicators to identify high-probability entry and exit points for call and put options.
Features & Strategy Logic:
✅ Moving Averages (9 EMA, 21 EMA, 200 EMA) → Identifies short-term and long-term trends.
✅ VWAP (Volume Weighted Average Price) → Tracks institutional buying/selling pressure.
✅ RSI (Relative Strength Index, 14) → Confirms momentum and trend strength.
✅ MACD (12, 26, 9) → Detects shifts in momentum for trend continuation or reversals.
✅ Buy & Sell Alerts → Automatically notifies traders when optimal conditions are met.
How It Works:
• BUY (Call Signal):
• 9 EMA crosses above 21 EMA (bullish momentum).
• Price is above VWAP (institutional buying pressure).
• RSI is above 50 (bullish confirmation).
• MACD is trending upward.
• Trigger: Green “BUY” label appears below the candle.
• SELL (Put Signal):
• 9 EMA crosses below 21 EMA (bearish momentum).
• Price is below VWAP (institutional selling pressure).
• RSI is below 50 (bearish confirmation).
• MACD is trending downward.
• Trigger: Red “SELL” label appears above the candle.
How to Use:
1. Apply the script to 5-minute or 15-minute charts for best results.
2. Look for buy/sell labels and confirm with market context before entering trades.
3. Set alerts to receive real-time notifications when conditions align.
Ideal For:
✔️ Day traders looking for quick, high-probability trades.
✔️ Options traders focusing on directional movement.
✔️ Scalpers and momentum traders who rely on trend confirmation.
🔔 Set up alerts for automated trade notifications and never miss a setup!
ATR and Moving AverageUsing ATR and Moving Average: A Technical Analysis Strategy
The Average True Range (ATR) and the Moving Average are two important technical analysis tools that can be used together to identify trading opportunities in the market. In this article, we will explore how to use these two tools and how the crossover between them can indicate changes in the market.
What is ATR?
The Average True Range (ATR) is a measure of the volatility of an asset, which calculates the average true range of an asset over a period of time. The true range is the difference between the closing price and the opening price of an asset, or the difference between the closing price and the highest or lowest price of the day. ATR is an important measure of volatility, as it helps to identify the magnitude of price fluctuations of an asset.
What is Moving Average?
The Moving Average is a technical analysis tool that calculates the average price of an asset over a period of time. The Moving Average can be used to identify trends and price patterns, and is an important tool for traders. There are different types of Moving Averages, including the Simple Moving Average (SMA), the Exponential Moving Average (EMA), and the Weighted Moving Average (WMA).
Crossover between ATR and Moving Average
The crossover between ATR and Moving Average can be an important indicator of changes in the market. When ATR crosses above the Moving Average, it may indicate that the volatility of the asset is increasing and that the price may be about to rise. This occurs because ATR is increasing, which means that the true range of the asset is increasing, and the Moving Average is being surpassed, which means that the price is rising.
On the other hand, when ATR crosses below the Moving Average, it may indicate that the volatility of the asset is decreasing and that the price may be about to fall. This occurs because ATR is decreasing, which means that the true range of the asset is decreasing, and the Moving Average is being surpassed, which means that the price is falling.
Trading Strategies
There are several trading strategies that can be used with the crossover between ATR and Moving Average. Some of these strategies include:
Buying when ATR crosses above the Moving Average, with the expectation that the price will rise.
Selling when ATR crosses below the Moving Average, with the expectation that the price will fall.
Using the crossover between ATR and Moving Average as a filter for other trading strategies, such as trend analysis or pattern recognition.
In summary, the crossover between ATR and Moving Average can be an important indicator of changes in the market, and can be used as a technical analysis tool to identify trading opportunities. However, it is important to remember that no trading strategy is foolproof, and that it is always important to use a disciplined approach and manage risk adequately.
Serhat's Sinyal + Panel (Kompakt Versiyon)🔹 This indicator provides a clean and reliable signal system using a combination of multiple classic indicators: RSI, MACD, Stochastic RSI, ADX, DI+, Volume, and SMA sequences.
🔹 All signals are non-repetitive — once active, no new signal is given until the condition resets.
🔹 The compact panel summarizes all indicator statuses in real-time.
💡 Works best on daily and 4H charts.
Developed by: Serhat E.
Feedback is welcome!
2:45 AM Candle High/Low Crossing Bars2:45 AM Candle High/Low Crossing Bars is an indicator that focuses on the trading view 2:45am NY TIME high and low indicating green for buy and red bars for sell, with the 2:45am new york time highlight/ If the next candle sweeps the low we buy while if it sweeps the high we sell, all time zoon must be the new York UTC time.
ORB Lines - Opening Range Breakout [GC Trading Systems]A simple indicator that draws your opening range + custom fib extension targets.
Supertrend + MACD CrossoverKey Elements of the Template:
Supertrend Settings:
supertrendFactor: Adjustable to control the sensitivity of the Supertrend.
supertrendATRLength: ATR length used for Supertrend calculation.
MACD Settings:
macdFastLength, macdSlowLength, macdSignalSmoothing: These settings allow you to fine-tune the MACD for better results.
Risk Management:
Stop-Loss: The stop-loss is based on the ATR (Average True Range), a volatility-based indicator.
Take-Profit: The take-profit is based on the risk-reward ratio (set to 3x by default).
Both stop-loss and take-profit are dynamic, based on ATR, which adjusts according to market volatility.
Buy and Sell Signals:
Buy Signal: Supertrend is bullish, and MACD line crosses above the Signal line.
Sell Signal: Supertrend is bearish, and MACD line crosses below the Signal line.
Visual Elements:
The Supertrend line is plotted in green (bullish) and red (bearish).
Buy and Sell signals are shown with green and red triangles on the chart.
Next Steps for Optimization:
Backtesting:
Run backtests on BTC in the 5-minute timeframe and adjust parameters (Supertrend factor, MACD settings, risk-reward ratio) to find the optimal configuration for the 60% win ratio.
Fine-Tuning Parameters:
Adjust supertrendFactor and macdFastLength to find more optimal values based on BTC's market behavior.
Tweak the risk-reward ratio to maximize profitability while maintaining a good win ratio.
Evaluate Market Conditions:
The performance of the strategy can vary based on market volatility. It may be helpful to evaluate performance in different market conditions or pair it with a filter like RSI or volume.
Let me know if you'd like further tweaks or explanations!
mala-MA crossoverPurpose
The "mala-MA Crossover" is a TradingView indicator designed to help traders identify potential buy and sell opportunities based on the interaction between two Exponential Moving Averages (EMAs). It solves a common problem for traders: determining optimal entry and exit points in a market by highlighting momentum shifts. Whether you're scalping short-term moves or riding longer trends, this indicator simplifies trend detection and trade timing.
How It Works
This indicator uses two EMAs—a fast EMA (shorter period) and a slow EMA (longer period)—to track price momentum. The core logic is straightforward: when the fast EMA crosses above the slow EMA, it suggests upward momentum (a buy signal); when it crosses below, it indicates downward momentum (a sell signal). The EMAs are calculated using closing prices over user-defined periods, smoothing out price noise to focus on meaningful trends. Visual signals (triangles) and optional alerts make it easy to act on these crossovers without constant chart monitoring.
How to Use It
Adding to TradingView: Open TradingView, click the "Indicators" button (the "+" icon), search for "mala-MA Crossover," and add it to your chart.
Configuring Settings:
Adjust the "Fast EMA Length" (default: 5) for sensitivity to short-term price changes.
Adjust the "Slow EMA Length" (default: 20) to capture broader trends.
Beginners can stick with defaults, while pros might experiment (e.g., 10 and 50 for swing trading).
Interpreting Signals:
A green triangle below the price bar signals a buy—time to consider entering a long position.
A red triangle above the bar signals a sell—time to consider exiting or shorting.
Watch the blue (fast) and red (slow) EMA lines to confirm trend direction visually.
Practical Tips:
Beginners: Pair this with a simple trend filter (e.g., price above a 200-period EMA) to avoid false signals in choppy markets.
Pros: Backtest custom lengths on your asset (e.g., crypto vs. stocks) and enable alerts for automated notifications via TradingView’s alert system (right-click the indicator, select "Add Alert").
Originality
While EMA crossovers aren’t new, "mala-MA Crossover" stands out with its clean, beginner-friendly design paired with practical features for all skill levels. The adjustable EMA lengths offer flexibility, and the overlay format—showing EMAs directly on the price chart—keeps your workspace uncluttered. The addition of clear visual signals (triangles) and built-in alerts saves time compared to manually plotting or coding similar setups. It’s a no-fuss, customizable tool that balances simplicity with actionable insights, making it a go-to for both casual traders and seasoned strategists.
Swing Trade IndicatorThis is a Swing Trade Indicator that combines several technical indicators to analyze market conditions and generate trade signals. I've included two tables that provide real-time information to help you analyze the market and track trades: the Market Status Table and the Trade Tracking Table. These tables are overlaid on the TradingView chart and are customizable in terms of position and visibility.
Simple Moving Averages (SMAs):
Determines trend direction (e.g., bullish if fastMA > slowMA).
Calculates the average closing price over a set period:
fastMA: 21-period SMA (short-term trend).
slowMA: 50-period SMA (medium-term trend).
ultraSlowMA: 200-period SMA (long-term trend).
How:
ta.sma(close, fastLength) computes the SMA of the closing price over fastLength bars (similarly for slowLength and ultraSlowLength).
Volume Analysis:
Identifies potential liquidity spikes.
Measures trading volume to detect high activity.
Average volume over liquidityPeriod (20 bars).
Standard deviation of volume to set a dynamic threshold.
How:
avgVolume = ta.sma(volume, liquidityPeriod): Average volume.
volumeStdDev = ta.stdev(volume, liquidityPeriod): Volatility of volume.
highVolume = volume > avgVolume + volumeStdDev * volumeThresholdMultiplier: Flags high volume if it exceeds the average plus a multiplier (default 1.0) times the standard deviation.
Relative Strength Index (RSI):
Filters entries to avoid overextended markets.
Measures momentum and overbought/oversold conditions.
14-period RSI with thresholds at 60 (overbought) and 40 (oversold).
How:
rsiValue = ta.rsi(close, rsiLength) calculates RSI based on price changes over 14 bars.
Average Directional Index (ADX):
Gauges whether the trend is strong enough to trade.
Assesses trend strength.
14-period ADX.
How:
Calculates True Range (tr), Plus Directional Movement (plusDM), and Minus Directional Movement (minusDM).
Smooths these with ta.rma (Running Moving Average) over adxLength (14).
Computes plusDI and minusDI (directional indicators), then dx (difference), and finally adxValue = ta.rma(dx, adxLength) for trend strength.
Classifies as "Strong" (≥40), "Moderate" (≥20), or "Weak" (<20).
Moving Average Convergence Divergence (MACD) (Optional):
Optional filter for entry conditions if useMacdFilter is enabled.
Tracks momentum and trend changes.
Fast EMA (12), Slow EMA (26), Signal Line (9).
How:
= ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength) computes the MACD components.
macdBullish = macdLine > signalLine: Bullish signal.
macdBearish = macdLine < signalLine: Bearish signal.
Liquidity Zones:
Confirms entries near key levels and suggests next trade setups.
Identifies support and resistance levels based on recent price extremes.
Dynamic levels over 20 bars (if useDynamicLevels is true).
How:
highLiquidityLevel1 = ta.highest(high, 20): Highest high in last 20 bars.
highLiquidityLevel2 = ta.highest(high , 20): Highest high from 20 to 40 bars ago.
highLiquidityLevel3 = ta.lowest(low, 20): Lowest low in last 20 bars.
highLiquidityLevel4 = ta.lowest(low , 20): Lowest low from 20 to 40 bars ago.
Upper and lower zones are derived (upperLevel, lowerLevel), with a midpoint between them.
How It Calculates Entries and Exits
Long Entry:
Basic Conditions (longEntry):
close > fastMA: Price is above the 21-period SMA.
fastMA > slowMA: Short-term trend is above medium-term trend (bullish).
rsiValue < rsiOverbought: RSI below 60 (not overbought).
(not useMacdFilter or macdBullish): If MACD filter is off, ignore it; if on, MACD must be bullish.
Confirmed Entry (confirmedLongEntry):
longEntry is true.
close >= highLiquidityLevel3 * 0.95 and close <= highLiquidityLevel3 * 1.05: Price is within 5% of the lower liquidity level (support).
Action: Sets currentPosition = 'long', records entry price and bar, plots a green triangle below the bar.
Short Entry:
Basic Conditions (shortEntry):
close < fastMA: Price is below the 21-period SMA.
fastMA < slowMA: Short-term trend is below medium-term trend (bearish).
rsiValue > rsiOversold: RSI above 40 (not oversold).
(not useMacdFilter or macdBearish): If MACD filter is off, ignore it; if on, MACD must be bearish.
Confirmed Entry (confirmedShortEntry):
shortEntry is true.
close <= highLiquidityLevel1 * 1.05 and close >= highLiquidityLevel1 * 0.95: Price is within 5% of the upper liquidity level (resistance).
Action: Sets currentPosition = 'short', records entry price and bar, plots a red triangle above the bar.
Exit Conditions
Note: The exit logic is defined but commented out in the script (//longExit and //shortExit), meaning it doesn’t automatically exit positions. It calculates stop-loss and take-profit levels for manual use:
Long Exit (if uncommented):
close < stopLossLevelLong: Price falls below stop-loss (entry price × (1 - 1.5%)).
close > takeProfitLevelLong: Price exceeds take-profit (entry price × (1 + 1.5% × 2.0)).
Short Exit (if uncommented):
close > stopLossLevelShort: Price rises above stop-loss (entry price × (1 + 1.5%)).
close < takeProfitLevelShort: Price falls below take-profit (entry price × (1 - 1.5% × 2.0)).
Suggested Levels: The script provides suggestedLongSL, suggestedLongTP, suggestedShortSL, and suggestedShortTP in the Market Status Table, based on liquidity levels rather than entry price, for manual exits.
Users Can Edit Settings:
Market Status Table Position: Dropdown (e.g., "top_right" to "bottom_left").
Trade Tracking Table Position: Dropdown (e.g., "bottom_right" to "middle_center").
Visibility Toggles (checkboxes):
Show Tables: Enable/disable tables (default: true).
Show Liquidity Zones: Not plotted but affects logic (default: true).
Show Entry Points: Show/hide entry triangles (default: true).
Use Dynamic Levels: Enable/disable liquidity zones (default: true).
Use MACD for Entry Filter: Add MACD to entry conditions (default: false).
Show MACD on Chart: Not implemented but reserved (default: false).
Indicator Periods:
Fast MA Length: Integer (default: 21, e.g., change to 10).
Slow MA Length: Integer (default: 50, e.g., change to 30).
Ultra Slow MA Length: Integer (default: 200, e.g., change to 100).
Liquidity Detection Period: Integer (default: 20, e.g., change to 10).
RSI Length: Integer (default: 14, e.g., change to 7).
ADX Length: Integer (default: 14, e.g., change to 20).
MACD Fast/Slow/Signal Length: Integers (default: 12/26/9, e.g., 9/21/5).
Thresholds:
Volume Threshold Multiplier: Float (default: 1.0, e.g., 1.5 for stricter high volume).
RSI Overbought: Integer (default: 60, e.g., 70).
RSI Oversold: Integer (default: 40, e.g., 30).
Stop Loss %: Float (default: 1.5, e.g., 2.0, range 0.1-10).
Take Profit Ratio: Float (default: 2.0, e.g., 3.0, range 1.0-5.0).
Liquidity Threshold (%): Float (default: 2.0, e.g., 1.5, range 0.5-5.0).