KumoBreakLongShows Breakouts over and under Kumo Cloud, don't trade with it, just use it as indicator
Indikatoren und Strategien
Weight Convergence DivergenceWeight Convergence Divergence ⚖️
1. Introduction
The Weight Convergence Divergence (WCD) indicator applies principles of rotational equilibrium from classical physics to financial market analysis. By quantifying market momentum as a physical balance system, this indicator helps traders identify potential price reversals and continuation patterns through the visualization of market forces .
2. Theoretical Grounds 📚
The WCD draws inspiration from the physical concept of rotational equilibrium, where opposing forces create a balance or imbalance in a system (Giancoli, 2016, pp.247–249). In market analysis, this can be translated to the comparative measurement of bullish and bearish momentum (Bouchaud and Potters, 2003) . Lo and MacKinlay (1988) and Corbet and Katsiampa (2018) demonstrate that markets exhibit both mean-reverting and momentum characteristics, supporting the concept of opposing market forces that the WCD seeks to visualize. Bouchaud and Potters (2003) further highlight that principles from statistical physics can be applied to financial markets, providing a theoretical foundation for approaches like we are doing with the WCD.
3. Methodology 🧪
The WCD indicator quantifies market mass through the following approach:
Calculates mass by multiplying the candle's body (close-open) with volume mass = body * volume
Compares recent market mass (right side) with historical mass (left side)
Visualizes the equilibrium point with a dynamic balance line balance_ln
Generates signals when the balance shifts buy_signal = ta.crossover(right_mass, 0) and left_mass <= 0 and ly > middle_level
sell_signal = ta.crossunder(right_mass, 0) and left_mass >= 0 and ly < middle_level
4. Visual Elements 🎨
Balance Line: A tilting dashed line representing equilibrium between past and present market forces
🟩 Green Boxes: Positive market mass (bullishness)
🟥 Red Boxes: Negative market mass (bearishness)
▲ Buy Signals: When right mass turns positive while left mass is negative
▼ Sell Signals: When right mass turns negative while left mass is positive
5. Integrated Risk Management 🛡️
Automatic stop loss calculation based on Average True Range (ATR)
Dynamic profit targets calibrated to user-defined risk-reward ratios
Visual position management table to track entries, targets, and stops throughout trade duration
6. Parametrization ⚙️
Distance: Number of bars for mass calculation
ATR Length: Period for volatility calculation
ATR Factor: Multiplier applied to ATR for stop loss determination
Risk-Reward Ratio: Factor used for target calculation
7. Implementation Strategies 📈
7.1. Trend Reversal Strategy (More Risky) 🔄
Identify overextended market conditions
Wait for a counter-trend signal
Consider the calculated stop loss and take profit
7.2. Momentum Continuation Strategy (Less Risky) ➡️
Identify the prevailing trend
Look for multiple signals in the trend direction ( the balance line is not the trend! )
Wait for a second or third signal confirmation
Consider the calculated stop loss and take profit
8. Timeframe Flexibility: ⏱️
Lower timeframes (5-15m): Quick signals for scalping
Medium timeframes (30m-4h): Balanced for day trading
Higher timeframes (Daily+): Reliable signals for swing trading
9. References 📗
Bouchaud, J.-P. and Potters, M. (2003). Theory of Financial Risk and Derivative Pricing. doi: doi.org .
Corbet, S. and Katsiampa, P. (2018). Asymmetric mean reversion of Bitcoin price returns. International Review of Financial Analysis. doi: doi.org .
Giancoli, D.C. (2016). Physics : Principles with Applications. 7th ed. Harlow: Pearson Education, pp.247–249.
Lo, A.W. and MacKinlay, A.C. (1988). Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test. Review of Financial Studies, 1(1), pp.41–66. doi: doi.org .
Disclaimer ⚠️
The Weight Convergence Divergence indicator is designed for informational and educational purposes only. Past performance is not necessarily indicative of future results. Traders should conduct thorough analysis and employ proper risk management techniques. This tool does not constitute financial advice and should be used at the user's own discretion.
Nasdaq Risk Calculator - DTFXNasdaq Risk Calculator
This Pine Script (v5) indicator provides a dashboard-style tool for calculating trading risk based on manually input tick measurements for Nasdaq futures contracts (NQ and MNQ). Designed as an overlay on the main chart, it displays key risk metrics in a fixed-position table, allowing traders to assess contract type, lot size, risk ticks, and actual risk in dollars relative to a user-defined risk amount.
Features:
Manual Tick Input: Enter the number of ticks (e.g., from a ruler measurement) to define the price range for risk calculation.
Risk Calculation: Computes the optimal contract (NQ or MNQ), number of lots, risk ticks (half the input range), and actual risk in dollars, targeting the specified risk amount (default: $100).
Customizable Dashboard: Displays results in a single-cell table with a semi-transparent white background and gray border, positioned in one of four chart corners (Top Left, Top Right, Bottom Left, Bottom Right) via user selection.
Reset Option: Includes a toggle to clear the dashboard and start anew.
How to Use:
Add the indicator to your chart (best suited for NQ or MNQ futures).
In the settings, input your "Risk Amount ($)" and "Ticks" (e.g., 400 for a 100-point range on NQ).
Select the "Dashboard Corner" to position the table.
View the calculated risk details in the chosen corner.
Adjust inputs or reset as needed.
Notes:
NQ tick value is $5.00 (NQ_MULTIPLIER = 5.0), and MNQ tick value is $0.50 (MNQ_MULTIPLIER = 0.5).
Ideal for traders planning risk based on measured price ranges, such as support/resistance zones.
DOPT---
## 🔍 **DOPT - Daily Open & Price Time Markers**
This script is designed to support directional bias development and price behavior analysis around key time-based reference points on the **1H and 4H timeframes**.
### ✨ **What It Does**
- **1800 Open Marker** (6 PM NY time): Plots the **daily open** from 1800 in **black dotted lines**.
- **0000 Open Marker** (Midnight NY time): Plots the **midnight open** in **blue dotted lines**.
- **Day Letters**: Each 1800 open is labeled with the corresponding **day of the week** (e.g., M, T, W...), helping visually segment your chart.
- **Hour Labels**: Select specific candles (e.g., 0000 = '0', 0800 = '8') to be labeled above the bar. These are fully customizable.
- **Candle Midpoints**: Option to mark the **50% level** of a specific candle (good for CE or CRT references).
- **CRT High/Low Tracking**: Ability to plot **extended high and low lines** from a selected candle back (e.g., for CRT modeling).
- **4H Timeframe Candle Numbering**: Helpful when analyzing sequences on the 4-hour timeframe. Candles are numbered `1`, `5`, and `9` for reference.
---
### 🧠 **How I Use It**
- I mostly use this on the **1-hour timeframe** to decide **directional bias** for the day:
- If price **closes above 1800 open**, I consider that a **green daily close** — potential bullish sentiment.
- If price **closes below**, I treat it as a **red daily close** — potential bearish behavior.
- Price often uses these opens as **support/resistance**, so I watch for reactions there.
- On the **4H**, the candle numbers help track structure and flow.
- Combine with CRT tools to mark **key candle highs/lows** and their **equilibrium (50%)** — great for refining entries or understanding how price is respecting a particular candle.
---
### ⚠️ **Note on Daylight Savings**
This is a **daylight saving time-dependent script**. When DST kicks in or out, you’ll need to **adjust the time inputs** accordingly to keep the opens accurate (e.g., 1800 might shift to 1700 depending on the season).
---
### 🔁 **Backtesting & Reference**
- The **1800 and 0000 opens** are plotted for **as far back** as your chart loads, making it great for backtesting historical reactions.
- The CRT marking tools only go back **50 candles max**, so use that for recent structure only.
---
VCP Pattern with Pocket Pivots by Mark MinerviniBelow is a Pine Script designed to identify and plot Mark Minervini's Volatility Contraction Pattern (VCP) along with Pocket Pivots on TradingView. The VCP is characterized by a series of price contractions (tightening price ranges) with decreasing volume, often followed by a breakout. Pocket Pivots, a concept from Chris Kacher and Gil Morales, identify early buying opportunities within a consolidation or uptrend based on volume surges. This script combines both concepts to help traders spot potential setups.
NHPF (Normalized Hodrick-Prescott Filter)This indicator applies a normalized Hodrick–Prescott filter (NHPF) to Bitcoin’s price data. It separates the underlying trend from short-term cyclical fluctuations by recursively smoothing the price using a user-defined lambda (HP Filter Period). The raw trend is then normalized by calculating a ratio between the trend and the current price, which is scaled and shifted according to subjective parameters (Mean and Scale). The result is a dimensionless value that highlights deviations from the long-term trend—serving as a signal for potential overbought (positive values) or oversold (negative values) market conditions. A zero line provides a clear reference, allowing traders to visually gauge when Bitcoin’s price is significantly above or below its expected trajectory.
Feel free to adjust the inputs to best match your analysis preferences.
TheStrat: Failed 2'sThis indicator identifies and highlights Failed 2-Up (2U) and Failed 2-Down (2D) patterns in The Strat trading framework. These patterns signal a potential reversal when a 2-Up (higher high) or 2-Down (lower low) candle fails to follow through and reverses, offering high-probability trade setups.
Arbitrage Spot-Futures Don++Strategy: Spot-Futures Arbitrage Don++
This strategy has been designed to detect and exploit arbitrage opportunities between the Spot and Futures markets of the same trading pair (e.g. BTC/USDT). The aim is to take advantage of price differences (spreads) between the two markets, while minimizing risk through dynamic position management.
[Operating principle
The strategy is based on calculating the spread between Spot and Futures prices. When this spread exceeds a certain threshold (positive or negative), reverse positions are opened simultaneously on both markets:
- i] Long Spot + Short Futures when the spread is positive.
- i] Short Spot + Long Futures when the spread is negative.
Positions are closed when the spread returns to a value close to zero or after a user-defined maximum duration.
[Strategy strengths
1. Adaptive thresholds :
- Entry/exit thresholds can be dynamic (based on moving averages and standard deviations) or fixed, offering greater flexibility to adapt to market conditions.
2. Robust data management :
- The script checks the validity of data before executing calculations, thus avoiding errors linked to missing or invalid data.
3. Risk limitation :
- A position size based on a percentage of available capital (default 10%) limits exposure.
- A time filter limits the maximum duration of positions to avoid losses due to persistent spreads.
4. Clear visualization :
- Charts include horizontal lines for entry/exit thresholds, as well as visual indicators for spread and Spot/Futures prices.
5. Alerts and logs :
- Alerts are triggered on entries and exits to inform the user in real time.
[Points for improvement or completion
Although this strategy is functional and robust, it still has a few limitations that could be addressed in future versions:
1. [Limited historical data :
- TradingView does not retrieve real-time data for multiple symbols simultaneously. This can limit the accuracy of calculations, especially under conditions of high volatility.
2. [Lack of liquidity management :
- The script does not take into account the volumes available on the order books. In conditions of low liquidity, it may be difficult to execute orders at the desired prices.
3. [Non-dynamic transaction costs :
- Transaction costs (exchange fees, slippage) are set manually. A dynamic integration of these costs via an external API would be more realistic.
4. User-dependency for symbols :
- Users must manually specify Spot and Futures symbols. Automatic symbol validation would be useful to avoid configuration errors.
5. Lack of advanced backtesting :
- Backtesting is based solely on historical data available on TradingView. An implementation with third-party data (via an API) would enable the strategy to be tested under more realistic conditions.
6. [Parameter optimization :
- Certain parameters (such as analysis period or spread thresholds) could be optimized for each specific trading pair.
[How can I contribute?
If you'd like to help improve this strategy, here are a few ideas:
1. Add additional filters:
- For example, a filter based on volume or volatility to avoid false signals.
2. Integrate dynamic costs:
- Use an external API to retrieve actual costs and adjust thresholds accordingly.
3. Improve position management:
- Implement hedging or scalping mechanisms to maximize profits.
4. Test on other pairs:
- Evaluate the strategy's performance on other assets (ETH, SOL, etc.) and adjust parameters accordingly.
5. Publish backtesting results :
- Share detailed analyses of the strategy's performance under different market conditions.
[Conclusion
This Spot-Futures arbitrage strategy is a powerful tool for exploiting price differentials between markets. Although it is already functional, it can still be improved to meet more complex trading scenarios. Feel free to test, modify and share your ideas to make this strategy even more effective!
[Thank you for contributing to this open-source community!
If you have any questions or suggestions, please feel free to comment or contact me directly.
FFT Approximation StrategyExperimenting FFT Strategy on YCL (USD/JPY 2 x)
This script approximates the effects of FFT by identifying convergence between short- and long-term cycles. While it doesn't provide the precision of true spectral analysis, it captures the essence of cyclical market behavior.
How FFT Concepts Improve YCL Entry Points
Cycle Identification:
Use external FFT analysis to identify dominant cycles in USD/JPY price movements.
Apply these cycles to refine entry zones for YCL.
Noise Filtering:
High-frequency components identified by FFT can help filter out market noise.
Focus on low-frequency trends for more reliable signals.
Timing Optimization:
Combine cycle analysis with gamma exposure proxies to pinpoint moments of accelerated price movement.
CCI with Subjective NormalizationCCI (Commodity Channel Index) with Subjective Normalization
This indicator computes the classic CCI over a user-defined length, then applies a subjective mean and scale to transform the raw CCI into a pseudo Z‑score range. By adjusting the “Subjective Mean” and “Subjective Scale” inputs, you can shift and rescale the oscillator to highlight significant tops and bottoms more clearly in historical data.
1. CCI Calculation:
- Uses the standard formula \(\text{CCI} = \frac{\text{price} - \text{SMA(price, length)}}{0.015 \times \text{mean deviation}}\) over a user-specified length (default 500 bars).
2. Subjective Normalization:
- After CCI is calculated, it is divided by “Subjective Scale” and offset by “Subjective Mean.”
- This step effectively re-centers and re-scales the oscillator, helping you align major lows or highs at values like –2 or +2 (or any desired range).
3. Usage Tips:
- CCI Length controls how far back the script measures average price and deviation. Larger values emphasize multi-year cycles.
- Subjective Mean and Scale let you align the oscillator’s historical lows and highs with numeric levels you prefer (e.g., near ±2).
- Adjust these parameters to fit your particular market analysis or to match known cycle tops/bottoms.
4. Plot & Zero Line:
- The indicator plots the normalized CCI in yellow, along with a zero line for quick reference.
- Positive values suggest price is above its long-term mean, while negative values suggest it’s below.
This approach offers a straightforward momentum oscillator (CCI) combined with a customizable normalization, making it easier to spot historically significant overbought/oversold conditions without writing complex code yourself.
[blackcat] L3 Breakout IndicatorOVERVIEW
This script provides a breakout detection system ( L3 Breakout Indicator) analyzing price momentum across timeframes. It identifies market entry/exit zones through dynamically scaled thresholds and visual feedback layers.
FEATURES
Dual momentum visualization: • Price Momentum Ratio Plot ( yellow ) • Filtered Signal Value Plot ( fuchsia )
Adjustable trade boundaries: ▪ Lower Threshold (default: 0.5) ▪ Upper Threshold (default: 2.9) ▪ Central boundary ( fixed at 2.0 )
Real-time visual feedback: ☀ Buy zone highlights ( lime ) on momentum crossover ⚠ Sell zone highlights ( red ) on momentum cross-under ♦ Dynamic convergence area between plots ( colored gradient )
HOW TO USE
Interpretation Flow
Monitor momentum plots relative to threshold lines
Actionable signals occur when momentum crosses thresholds
Persistent movement above/below central boundary indicates trend continuation
Key Zones
• Below 0.5: Potential buying opportunity zone
• Above 2.0: Cautionary selling region
• Between 0.5-2.0: Neutral consolidation phase
Optimization Tips
Adjust thresholds based on asset volatility
Combine with volume metrics for confirmation
Backtest parameters using historical data
LIMITATIONS
• Lag induced by 4-period EMA smoothing
• Historical dependency in calculating extremes (lowest(100)/highest(250))
• No built-in risk management protocols (stop loss take profit)
• Performance variability during sideways markets
SuperTrend AI with RSI, EMA & Dynamic S/RSupport, resistance, entry and exit signals, and combining the average with the relative strength
ChartPatternSetupsLibrary "ChartPatternSetups"
detectSymmetricalTriangle(lookback)
Detects a Symmetrical Triangle (Bullish or Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isBullish, isBearish, entry, sl, tp).
detectAscendingTriangle(lookback)
Detects an Ascending Triangle (Bullish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectDescendingTriangle(lookback)
Detects a Descending Triangle (Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectFallingWedge(lookback)
Detects a Falling Wedge (Bullish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
detectRisingWedge(lookback)
Detects a Rising Wedge (Bearish) and provides trade levels.
Parameters:
lookback (int) : Number of bars to look back for pivots.
Returns: Tuple of (isDetected, entry, sl, tp).
Fundamental Fair Value RangeFundamental Fair Value Range
This indicator calculates and visualizes a company's intrinsic fair value based on several fundamental valuation metrics, including Price-to-Earnings (P/E), Price-to-Book (P/B), Price-to-Sales (P/S), Price-to-Free Cash Flow (P/FCF), Price-to-Tangible Book Value (P/TBV), Enterprise Value-to-EBITDA (EV/EBITDA), and Price-to-Cash Flow (P/CF). It dynamically computes median historical ratios to establish a robust fair value range, enhanced by forward-looking estimates and adjusted for financial risk and dividend yield.
Features :
Dynamic Valuation Metrics : Combines historical and forward-looking financial data to calculate realistic fair value estimates.
Flexible Weighting System : Assign customized weights to valuation metrics depending on profitability conditions (positive or negative EPS).
Risk & Dividend Adjustments : Includes risk assessment via Debt-to-Equity and Altman Z-Score, and adjusts valuations for dividends up to a specified cap.
Confidence Range Visualization : Displays fair value with clearly marked upper and lower confidence bounds to simplify interpretation.
Customizable Display : Table position, text size, and theme (dark or light mode) can be adjusted for optimal readability and integration into your chart layout.
Strengths:
Incorporates multiple robust valuation metrics for a comprehensive analysis.
Adapts dynamically to changing financial conditions.
Provides clear actionable signals for investors.
Weaknesses:
Relies heavily on historical data, which may not fully capture future market disruptions.
Sensitivity to user-defined parameters may impact reliability; careful selection is required.
To use this indicator, simply apply it to your chart and customize parameters according to your analysis preferences. Monitor signals closely to identify stocks trading below or above intrinsic value, guiding investment decisions with greater confidence.
This indicator is freely available and open-source on TradingView for everyone to use. Enjoy!
US500 Institutional Bias - MultiTF Pro EditionUS500 Institutional Bias – Multi-Timeframe Pro Edition
This custom-built TradingView indicator is designed to replicate an institutional-level bias model using multi-timeframe analysis, trend structure, and volume-based smart money signals. It combines over 20 high-value components into a single, weighted directional score — helping traders determine whether the environment favors long, short, or neutral positioning.
✅ Key Features & What It Does:
📈 Multi-Timeframe Trend Following
Analyzes EMA structures (fast > mid > slow) on:
M1 (intrabar)
M5
M15
H1
1D
Each timeframe contributes to the final bias based on its weight.
Higher timeframes like H1 and D1 have stronger influence on the overall direction.
🧠 Bias Score Calculation
The script calculates a composite Bias Score by summing weighted signals from:
Moving Averages (Trend)
MACD Histogram (Momentum)
RSI & Stochastic (Mean Reversion)
MFI, OBV, ADL, CMF (Volume Flow)
TSI & ROC (True Strength)
VWAP relationship
Bollinger Band squeeze detection
Donchian Channel positioning
RSI divergence detection
Relative Vigor Index & Volatility Index
Seasonality (month-based behavior)
🔺 Smart Money & Liquidity Zones
Highlights potential Order Blocks
Detects Volume Spikes and Support/Resistance pivots
📊 Visual Outputs
Color-coded chart background based on bias intensity
Triangle signals for Strong Long or Strong Short zones
Divergence dots when price and RSI disagree (early reversal alerts)
Optional Bias Panel to show total score and market state
🧭 Use Case
This tool is ideal for:
Intraday scalpers and swing traders
Confirming trend alignment across timeframes
Avoiding trades during neutral or conflicting structure
Combining technical and sentiment-based signals
ES vs Bond ROCThis Pine Script plots the Relative Rate of Change (ROC) between the S&P 500 E-mini Futures (ES) and 30-Year Treasury Bond Futures (ZB) over a specified period. It helps identify when equities are overperforming or underperforming relative to long-term bonds—an insight often used to detect risk-on/risk-off sentiment shifts in the market.
Relative Strength Indicator## ✨RS✨ by Mars: Advanced Relative Strength Indicator
This indicator solves the primary weakness of traditional RS tools: excessive choppiness and false signals. By combining three calculation methods (ratio, performance, or logarithmic comparison) with dynamic filtering techniques, it identifies true trend changes and stock leadership with significantly higher reliability.
### Key Features:
- Multi-timeframe strength analysis (default 10, 21, 63, and 200-period measurements)
- Dynamic signal line with customizable crossing alerts
- Clear visualization with color-coded fills and special crossover signals
- Reversal detection system using momentum and line convergence
- RSI-like scaling (0-100) for easier interpretation with special crossings on overbought and oversold zones.
### Trading Applications:
- Filter out market noise to identify genuine sector/asset leadership shifts
- Eliminate false signals through the convergence of multiple confirmation factors (momentum, proximity, signal crossovers)
- Detect high-probability reversals only when multiple conditions align, reducing premature entries
- Use special signals (bright triangles) for high-confidence entry/exit points when crossovers occur in extreme zones
- Monitor trend reliability through multi-timeframe RS strength percentages
Unlike conventional RS indicators that produce frequent whipsaws, this tool waits for confluent signals across multiple factors. The combination of smoothed RS readings, signal line convergence, and multi-timeframe analysis creates a comprehensive system for identifying market leadership with dramatically reduced false signals. Perfect for rotation strategies and sector allocation decisions where reliability matters more than frequency.
Video:
Adaptive KDJ (MTF)Hey guys,
this is an adaptive MTF KDJ oscillator.
Pick up to 3 different timeframes, choose a weighting if you want and enjoy the beautiful signals it will show you.
The length of every timeframe is adaptive and based of the timeframe's ATR.
The plot shows the smoothed average of the 3 KDJ values.
Large triangles show KDJ crossings.
Small triangles show anticipations of possible crossings.
I found out it works best with 1m, 5m, 15m and weighting=1 for forex scalping in 1m.
Use other indicators for confluence.
HBND ReferenceChart the HBND as an index based on weighting found on the HBND Etf website. For best results display the adjusted close since HBND is a high yielding fund. The weightings have to be updated manually.
There are three display options:
1. Normalize the index relative to the symbol on the chart (presumably HBND) and this is the default.
2. Percentage change relative to the first bar of the index
3. The raw value which will be the tlt price * tlt percentage weighting + vglt price * vglt percentage weighting + edv percentage weighting * edv price.
Relative Crypto Dominance Polar Chart [LuxAlgo]The Relative Crypto Dominance Polar Chart tool allows traders to compare the relative dominance of up to ten different tickers in the form of a polar area chart, we define relative dominance as a combination between traded dollar volume and volatility, making it very easy to compare them at a glance.
🔶 USAGE
The use is quite simple, traders just have to load the indicator on the chart, and the graph showing the relative dominance will appear.
The 10 tickers loaded by default are the major cryptocurrencies by market cap, but traders can select any ticker in the settings panel.
Each area represents dominance as volatility (radius) by dollar volume (arc length); a larger area means greater dominance on that ticker.
🔹 Choosing Period
The tool supports up to five different periods
Hourly
Daily
Weekly
Monthly
Yearly
By default, the tool period is set on auto mode, which means that the tool will choose the period depending on the chart timeframe
timeframes up to 2m: Hourly
timeframes up to 15m: Daily
timeframes up to 1H: Weekly
timeframes up to 4H: Monthly
larger timeframes: Yearly
🔹 Sorting & Sizing
Traders can sort the graph areas by volatility (radius of each area) in ascending or descending order; by default, the tickers are sorted as they are in the settings panel.
The tool also allows you to adjust the width of the chart on a percentage basis, i.e., at 100% size, all the available width is used; if the graph is too wide, just decrease the graph size parameter in the settings panel.
🔹 Set your own style
The tool allows great customization from the settings panel, traders can enable/disable most of the components, and add a very nice touch with curved lines enabled for displaying the areas with a petal-like effect.
🔶 SETTINGS
Period: Select up to 5 different time periods from Hourly, Daily, Weekly, Monthly and Yearly. Enable/disable Auto mode.
Tickers: Enable/disable and select tickers and colors
🔹 Style
Graph Order: Select sort order
Graph Size: Select percentage of width used
Labels Size: Select size for ticker labels
Show Percent: Show dominance in % under each ticker
Curved Lines: Enable/disable petal-like effect for each area
Show Title: Enable/disable graph title
Show Mean: Enable/disable volatility average and select color
Zero-Lag MA Trend Levels [jineet]hello this indicator can be used for crypto and forex both works well.....
hammer1822Indicator that helps identify hammer patterns, both bullish and bearish, taking into account previous highs and lows.
EMA Stacking Indicator with VWAP, MACD and ConfirmationEMA Stacking Indicator with VWAP & MACD Confirmation
This indicator combines EMA stacking, VWAP positioning, and MACD crossovers to help identify potential trend continuation and reversal points.
Features:
✅ EMA Stacking Strategy – Uses 10, 20, and 50 EMA to detect bullish and bearish trends.
✅ VWAP Confirmation – Ensures price is above VWAP for bullish signals and below for bearish signals.
✅ MACD Crossovers – Highlights bullish and bearish MACD crossovers with arrows for extra confirmation.
✅ Custom Colors & Signals – Clearly plotted moving averages and buy/sell markers to improve chart visibility.
How It Works:
A bullish trend is detected when the 10 EMA > 20 EMA > 50 EMA, and price is above VWAP.
A bearish trend is detected when the 10 EMA < 20 EMA < 50 EMA, and price is below VWAP.
MACD Bullish Crossovers (green arrows) indicate potential uptrend momentum.
MACD Bearish Crossovers (red arrows) suggest possible downtrend shifts.
This tool is perfect for traders looking to combine moving averages with volume-weighted confirmation and MACD momentum shifts for stronger trade setups.
🔹 Let me know your thoughts and feedback! 🚀
