Beta Tracker [theUltimator5]This script calculates the Pearson correlation coefficient between the charted symbol and a dynamic composite of up to four other user-defined tickers. The goal is to track how closely the current asset’s normalized price behavior aligns with, or diverges from, the selected group (or basket)
How can this indicator be valuable?
You can compare the correlation of your current symbol against a basket of other tickers to see if it is moving independently, or being pulled with the basket.... or is it moving against the basket.
It can be used to help identify 'swap' baskets of stocks or other tickers that tend to generally move together and visually show when your current ticker diverges from the basket.
It can be used to track beta (or negative beta) with the market or with a specific ticker.
This is best used as a supplement to other trading signals to give a more complete picture of the external forces potentially pulling or pushing the price action of the ticker.
🛠️ How It Works
The current symbol and each selected comparison ticker are normalized over a custom lookback window, allowing fair pattern-based comparison regardless of price scale.
The normalized values from 1 to 4 selected tickers are averaged into a composite, which represents the group’s collective movement.
A Pearson correlation coefficient is computed over a separate correlation lookback period, measuring the relationship between the current asset and the composite.
The result is plotted as a dynamic line, with color gradients:
Blue = strongly correlated (near +1)
Orange = strongly inverse correlation (near –1)
Intermediate values fade proportionally
A highlighted background appears when the correlation drops below a user-defined threshold (e.g. –0.7), helping identify strong negative beta periods visually.
A toggleable info table displays which tickers are currently being compared, along with customizable screen positioning.
⚙️ User Inputs
Ticker 1–4: Symbols to compare the current asset against (blank = ignored)
Normalization Lookback: Period to normalize each series
Correlation Lookback: Period over which correlation is calculated
Negative Correlation Highlight: Toggle for background alert and threshold level
Comparison Table: Toggle and position controls for an on-screen summary of selected tickers
imgur.com
⚠️ Notes
The script uses request.security() to pull data from external symbols; these must be available for the selected chart timeframe.
A minimum of one valid ticker must be provided for the script to calculate a composite and render correlation.
指標和策略
Bullish Volume AnomalyAnomaly is designed to spot hidden bullish accumulation before price actually breaks out, by blending a trend-aware volume measure with a volatility-adjusted price channel. Here’s how it works:
First, it runs a simple ATR-based zigzag to identify the current swing direction. Volume is then signed (+ for up-trends, – for down-trends) and cumulatively summed. By converting that cumulative signed volume into a z-score over the past 480 bars, we get a sense of when buying or selling pressure is unusually strong relative to its own history.
At the same time, price itself is normalized into a z-score over the same 480-bar window, and its change over that period is also tracked. These two measures—volume z-score (s) and price z-score (p)—are compared, and the indicator looks for moments when s outpaces p by at least two standard deviations (s – p > 2), while price momentum change remains low (c < 1) and the net volume is positive (s > 0). That combination flags instances where heavy buying is taking place but price hasn’t yet reacted.
To define a dynamic trading zone, it plots a 288-bar EMA of price as the middle band (t2), and builds upper and lower bands around it using the average close-to-open range multiplied by a user-set factor. The lower band (t1) sits beneath the EMA by that volatility-based margin. A signal fires only when the bar’s high stays below t1—meaning price is still “sleeping” under the lower volatility boundary even as bullish volume builds up.
Together, these filters home in on anomalies: strong, trend-aligned volume surges that outstrip price movement, occurring while price sits below its lower volatility band. In practice, that often marks early accumulation before a breakout. You can tweak the ATR length and multiplier for the zigzag, as well as the channel period and range factor, to suit different markets or timeframes.
Footprint BoxesThe Footprint Boxes indicator takes each higher-timeframe candle and builds a mini “footprint” map of where buying and selling happened within that bar’s range. You choose how many price bins to split the candle into and which lower timeframe to sample. For each small interval it grabs the signed volume (positive when the close is above the open, negative when below) and distributes that volume evenly across every bin touched by the price move in that interval.
Once the bar closes , the script finds the true high and low of all the lower-timeframe candles that make up the parent bar, divides that span into your chosen number of bins, and sums up the signed volume in each bin. It then draws a row of colored boxes beside the bar: green-tinted boxes for net buying and red-tinted ones for net selling, with shade intensity proportional to the percentage of total volume in that bin . Each box is labeled with its percentage of the bar’s total volume delta.
Finally, it draws one extra box with a bold white border showing the bar’s overall delta (net buying minus selling) as an absolute number. This gives you both a granular view of intra-bar activity and a quick glance at whether the buyers or sellers dominated the entire candle.
MA OrderlinessMA Orderliness measures how well a series of simple moving averages (SMAs) are stacked in the expected order for a trending market and turns that measurement into a normalized oscillator. You choose how many MAs to include and the shortest and longest lengths. The script generates a family of evenly spaced SMAs between those lengths, then compares each pair: shorter MAs should lie above longer ones in an uptrend and below in a downtrend. When any pair is out of order, a “violation” score is accumulated, but violations between nearby MAs count more heavily than those between MAs that are far apart. All weights are summed, and the total weighted violations are converted into a score from –1 (completely reversed) to +1 (perfectly ordered).
This orderliness score is plotted as a line oscillator. A fixed horizontal line at +1 marks perfect order, and another at –1 marks perfect reversal. To smooth the raw oscillator and generate trading signals, the script also plots a simple moving average of the orderliness score over a user-defined period. When the unsmoothed score crosses above its moving average, a bullish crossover alert fires. When it crosses below, a bearish crossover alert fires.
Everything is calculated on each bar so you can see the oscillator evolve in real time. You can customize the number of MAs, their minimum and maximum lengths, and the length of the signal-line SMA to suit different timeframes or markets.
Normalized DXY+Custom USD Index (DXY+) – Normalized Dollar Strength with Bitcoin, Gold, and Yuan.
This custom USD strength index replicates the structure of the official U.S. Dollar Index (DXY), while expanding it to include modern financial assets such as Bitcoin (BTC), Ethereum (ETH), gold (XAU), and the Chinese yuan (CNY).
Weights for the core fiat currencies (EUR, JPY, GBP, CAD, SEK, CHF) follow the official ICE DXY methodology. Additional components are weighted proportionally based on their estimated global economic influence.
The index is normalized from its initial valid data point, meaning it starts at 100 on the first day all asset inputs are available. From that point forward, it tracks the relative strength of the U.S. dollar against this expanded basket.
This provides a more comprehensive and modernized view of the dollar's strength—not only against traditional fiat currencies, but also in the context of rising decentralized assets and non-Western trade power.
HGDA Hany Ghazy Digital Analytics area zone'sIndicator Name: HGDA Hany Ghazy Digital Analytics area zones
Description:
This indicator plots several key price zones based on the highest high and lowest low over a user-defined lookback period.
The plotted zones represent dynamic support and resistance levels calculated using specific ratios of the price range (High - Low), as follows:
- Zone 1 (Light Red): Represents an upper resistance zone.
- Zone 2 (Medium Green): Represents a medium support zone.
- Zone 3 (Dark Red): Represents a lower resistance zone.
- Zone 4 (Dark Green): Represents a strong support zone.
Additionally, the indicator plots a yellow "Zero" line representing the midpoint price of the selected period, serving as a balance point for price action.
This indicator is ideal for identifying the overall market trend, as prices typically move from the upper resistance zones (light red) downwards to the end of the wave in the lower zones (dark green). This helps traders better understand wave nature and direction.
Usage:
- The colored zones assist in identifying potential reversal or continuation areas.
- These zones can be used to plan entries, exits, and risk management.
- Default lookback period is 20 bars, adjustable in the settings to suit the timeframe.
Notes:
- This indicator relies on historical price data and does not guarantee market predictions.
- It is recommended to combine it with other indicators and analytical tools for improved trading decisions.
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Developed by Hany Ghazy Digital Analytics (HGDA).
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H)
🔍 How It Works, Step by Step
Detect the Trend (📈/📉)
Calculate two moving averages (100-period and 500-period), either EMA or SMA.
For longs, we require MA100 > MA500 (uptrend).
For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend).
Apply Momentum Filters (⚡️)
RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold.
ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional).
ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional).
Confirm Entry Conditions (✅)
Long Entry:
Price is above both MAs
Trend alignment & optional filters pass ✅
Short Entry:
Price is below both MAs and below the lower Bollinger Band
RSI is sufficiently oversold
Trend-blocker & ATR filter pass ✅
Position Sizing & Risk (💰)
Each trade uses 100 % of account equity by default.
One pyramid addition allowed, so you can scale in if the move continues.
Commission and slippage assumptions built in for realistic backtests.
Stops & Exits (🛑)
Long Stop-Loss: e.g. 3 % below entry.
Long Auto-Exit: If price falls back under the 500-period MA.
Short Stop-Loss: e.g. 3 % above entry.
Short Take-Profit: e.g. 4 % below entry.
🎨 Why It’s Powerful & Customizable
Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes.
Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more.
Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate!
Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance.
⚠️ Warning & Disclaimer
This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒
Good luck exploring and experimenting! 🚀📊
MFI + RSI + EMA Dynamic SignalsThe MFI + RSI + EMA Dynamic Signals is a designed to combine with widened criteria to capture more trading opportunities, it balances momentum, trend, and flexibility, making it suitable for trading on timeframes like 15-minute to 4-hour charts.
How It Works
The indicator uses three technical components with relaxed criteria to produce signals:
Money Flow Index (MFI) for Momentum Extremes:
The MFI, calculated over a 14-period length, measures buying and selling pressure using price and volume. A buy signal can trigger when MFI crosses above the oversold level (default: 30, widened from 20), indicating potential buying pressure, while a sell signal can occur when MFI crosses below the overbought level (default: 70, widened from 80), suggesting selling pressure.
Relative Strength Index (RSI) for Momentum Confirmation:
The RSI, calculated over a 14-period length, confirms momentum strength. Bullish momentum is confirmed when RSI is above a buy threshold (default: 45, relaxed from 50), and bearish momentum when below a sell threshold (default: 55, relaxed from 50), allowing more signals near neutral momentum levels.
Exponential Moving Average (EMA) for Trend Sensitivity:
The indicator uses a fast EMA (default: 9 periods) and a slow EMA (default: 21 periods) to detect trend direction and crossovers. Signals can trigger when the fast EMA crosses the slow EMA, or when the fast EMA is within a proximity threshold (default: 0.5%) of the slow EMA, capturing early trend changes and increasing signal frequency.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting, with widened criteria for more frequent triggers:
Buy Signal: Either the MFI crosses above the oversold level or the fast EMA crosses above the slow EMA, and either RSI confirms bullish momentum (above 45) or the EMAs are near a crossover (within 0.5%). Displayed as a green upward triangle below the bar.
Sell Signal: Either the MFI crosses below the overbought level or the fast EMA crosses below the slow EMA, and either RSI confirms bearish momentum (below 55) or the EMAs are near a crossover (within 0.5%). Displayed as a red downward triangle above the bar.
15-Min ORB Strategy with TP/SL
🔧 How It Works
Opening Range Defined
At market open, it tracks the first 15-minute candle.
The high and low of that candle form the Opening Range.
Breakout Detection
A Buy Signal is triggered when price closes above the ORB high (with confirmation).
A Sell Signal is triggered when price closes below the ORB low.
Trade Management
On a confirmed breakout, the script:
Records the entry price.
Calculates Take Profit (TP) and Stop Loss (SL) using user-defined multipliers of the ORB range.
Positions are exited when either TP or SL is hit.
State Tracking
It tracks whether you're in a trade and whether it’s a long or short.
Once exited, the trade resets and waits for a new signal the next session.
📌 Visual Elements
Green line: ORB High
Red line: ORB Low
Blue line: Active Take Profit (if in trade)
Orange line: Active Stop Loss (if in trade)
Buy/Sell Labels: Signal markers below/above candles for clear entry visibility
⚙️ Customizable Inputs
Take Profit Multiplier (default 1.5× ORB range)
Stop Loss Multiplier (default 1.0× ORB range)
Session Start/End time for ORB definition
✅ Ideal For:
Traders who want clean, rule-based signals with no indicators
Quick intraday setups using price action only
Adaptation to almost any liquid market (just adjust session times)
Sniper SweepsPurpose
Detect when price sweeps above recent highs (buy-side liquidity) or below recent lows (sell-side liquidity), but closes back inside the range. This is often interpreted as a stop-hunt or liquidity grab by institutional traders.
Core Concepts
Liquidity Sweep: When price briefly breaks a recent swing high/low (potentially triggering stop losses), but then closes back within the previous range.
Buy-side Sweep: Price breaks a previous high, but closes below it.
Sell-side Sweep: Price breaks a previous low, but closes above it.
Summary
This indicator is useful for:
Identifying potential stop-hunts or liquidity grabs.
Recognizing SMC trade setups around swept highs/lows.
Getting alerted when significant liquidity levels are manipulated.
9 EMA 75% HA Crossover + EMA ReversalThis script identifies potential trend reversal points using Heikin-Ashi candles and the 9-period Exponential Moving Average (EMA). A signal is generated only when:
The 9 EMA reverses direction after a consistent trend (up or down).
The EMA crosses into at least 75% of the Heikin-Ashi candle body.
The highlighted candle must align with the reversal:
Green candle for bullish reversal
Red candle for bearish reversal
This setup helps filter out weak signals by combining price structure, trend behavior, and candle color confirmation.
H2-25 cuts (bp)This custom TradingView indicator tracks and visualizes the implied pricing of Federal Reserve rate cuts in the market, specifically for the second half of 2025. It does so by comparing the price differences between two specific Fed funds futures contracts: one for June 2025 and one for December 2025. These contracts are traded on the Chicago Board of Trade (CBOT) and are a widely-used market gauge of the expected path of U.S. interest rates.
The indicator calculates the difference between the implied rates for June and December 2025, and then multiplies the result by 100 to express it in basis points (bps). Each 0.01 change in the spread corresponds to a 1-basis point change in expectations for future rate cuts. A positive value indicates that the market is pricing in a higher likelihood of one or more rate cuts in 2025, while a negative value suggests that the market expects the Fed to hold rates steady or even raise them.
The plot represents the difference in implied rate cuts (in basis points) between the two contracts:
June 2025 (ZQM2025): A contract representing the implied Fed funds rate for June 2025.
December 2025 (ZQZ2025): A contract representing the implied Fed funds rate for December 2025.
FXC Candle strategyFxc candle strategy for Gold scalping.
Scalping is a fast-paced trading strategy focusing on capturing small, frequent price movements for incremental profits. High market liquidity and tight spreads are needed for scalping, minimizing execution risks. Scalpers should trade during peak liquidity to avoid slippage
Smash + Proba + BFThis script is designed to automatically display various levels that can be useful for trading.
These levels must be entered in the script as parameters in the form of lists separated by semicolons (";").
There are three groups of levels:
Smash: Levels provided in the Smashelito newsletter
Proba: Probability levels (50% and 70%) of reaching certain price points, calculated using options data
BF: Option-related levels provided by Krechendo Connect / BlackFlag
Example :
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64)
Overview:
This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points.
Key Features:
Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger.
Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility.
Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend.
RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move.
User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration.
Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met.
Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable.
Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels.
Signal Logic:
A LONG signal is generated when:
The fast stochastic %K crosses above its %D line.
The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition).
The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature.
The closing price is above the trend moving average (uptrend).
The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum.
A SHORT signal is generated when:
The fast stochastic %K crosses below its %D line.
The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition).
The fast stochastic %K line is also in a high area (e.g., >75).
The closing price is below the trend moving average (downtrend).
The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum.
How to Use:
Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1).
Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds).
Observe the Information Panel for a quick understanding of the current conditions.
Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns).
The background highlighting can help quickly identify periods where conditions are aligned for potential trades.
Disclaimer:
This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script.
Author: giua64
Consolidation Range [BigBeluga]A hybrid volatility-volume indicator that isolates periods of price equilibrium and reveals the directional force behind each range buildup.
Consolidation Range is a powerful tool designed to detect compression phases in the market using volatility thresholds while visualizing volume imbalance within those phases. By combining low-volatility detection with directional volume delta, it highlights where accumulation or distribution is occurring—giving traders the confidence to act when breakouts follow. This indicator is particularly valuable in choppy or sideways markets where range identification and sentiment context are key.
🔵 CONCEPTS
Volatility Compression: Uses ADX (Average Directional Index) to detect periods of low trend strength—specifically when ADX drops below a configurable threshold.
Range Structure: Upon a low-volatility trigger, the script dynamically anchors horizontal upper and lower bounds based on local highs and lows.
Directional Volume Delta: Inside each active range, it calculates the net difference between buy and sell volume, showing who controlled the range.
Sentiment Bias: A label appears in the center of the zone on breakout, showing the accumulated delta and bias direction (▲ for positive, ▼ for negative).
Range Validity Filter: Only ranges with more than 15 bars are considered valid—short-lived consolidations are auto-filtered.
🔵 KEY FEATURES
Detects low volatility market phases using ADX logic (crosses under "Volatility Threshold Input").
Automatically plots adaptive consolidation zones with upper and lower boundary lines.
Includes dynamic midline to visualize the price average inside the range.
Visual range is filled with a progressive gradient to reflect distance between highs and lows.
When the range is active, the indicator accumulates volume delta (Buy - Sell volume) .
Upon breakout, the total volume delta is displayed at the midpoint , providing insight into market sentiment during the consolidation phase.
Filters out weak or short-lived consolidations under 15 bars.
🔵 HOW TO USE
Spot ranging or compression zones with minimal effort.
Use breakouts with volume delta bias to assess the strength or weakness of moves.
Combine with trend-following tools or volume-based confirmation for stronger setups.
Apply to higher timeframes for macro consolidation tracking .
🔵 CONCLUSION
Consolidation Range now brings together volatility filtering and directional volume delta into one smart module. This hybrid logic allows traders to not only identify balance zones but also understand who was in control during the buildup—offering a sharper edge for breakout and trend continuation strategies.
MathSpecialFunctionsConvolve1DLibrary "MathSpecialFunctionsConvolve1D"
Convolution is one of the most important mathematical operations used in signal processing. This simple mathematical operation pops up in many scientific and industrial applications, from its use in a billion-layer large CNN to simple image denoising.
___
Reference:
www.algorithm-archive.org
numpy.org
lloydrochester.com
www.geeksforgeeks.org
f(signal, filter)
Convolve
Parameters:
signal (array) : List with signal data.
filter (array) : List with weights to apply to the signal data.
Returns: Discrete, linear convolution of `signal` and `filter`.
Custom USD IndexThis is a modernized, expanded version of the U.S. Dollar Index (DXY), designed to provide a more accurate representation of the dollar’s global strength in today’s diversified economy.
Unlike the traditional DXY, which excludes major players like China and entirely omits real-world stores of value, this custom index (DXY+) includes:
Fiat Currencies (78.3% total weight):
EUR, JPY, GBP, CAD, AUD, CHF, and CNY — equally weighted to reflect the global currency landscape.
Gold (17.5%):
Gold (XAUUSD) is included as a traditional reserve asset and inflation hedge, acknowledging its continued monetary relevance.
Cryptocurrencies (2.8% total weight):
Bitcoin (BTC) and Ethereum (ETH) represent the emerging digital monetary layer.
The index rises when the U.S. dollar strengthens relative to this blended basket, and falls when the dollar weakens against it. This is ideal for traders, economists, and macro analysts seeking a more inclusive and up-to-date measure of dollar performance.
BTC_News_2025Library "BTC_News_2025"
This library contains the tooltips used in the script "Bitcoin History Events (BTC Story)"
V1 News from January to May
tt_020125()
tt_070125()
tt_200125()
tt_270125()
tt_300125()
tt_030225()
tt_260225()
tt_240225()
tt_020325()
tt_030325()
tt_090325()
tt_110325()
tt_190325()
tt_280325()
tt_310325()
tt_020425()
tt_060425()
tt_090425()
tt_150425()
tt_190425()
tt_220425()
tt_050525()
tt_080525()
tt_130525()
tt_200525()
tt_220525()
Consecutive Candle CounterConsecutive Condition Counter is a versatile indicator that tracks and visualizes consecutive candles based on user-defined market conditions. It helps traders quickly identify streaks of bullish or bearish signals by counting how many bars in a row satisfy the selected condition.
🔍 Features:
Three selectable conditions via a dropdown:
Up & Down Days: Counts consecutive up or down candles. Each up candle adds +1, each down candle subtracts -1. The counter resets when direction changes.
RSI Signal: Counts how many consecutive bars RSI remains above 70 (+1 per bar) or below 30 (-1 per bar). Resets when RSI moves back to the neutral zone.
SMA Positioning: Counts consecutive bars where price stays above (+1) or below (-1) a Simple Moving Average (SMA). SMA period is user-defined.
📊 Visualization:
Positive streaks are shown in green, negative streaks in red, and neutral values in gray.
Displayed as a histogram below the chart for quick pattern recognition.
⚙️ Inputs:
Choose condition logic from the dropdown.
Configure the RSI period and SMA period as needed.
This tool can be helpful for identifying momentum streaks, overbought/oversold trends, or trend-following behavior in a visually intuitive way.
ADX mura visionOverview
The Enhanced ADX with Custom 40/60 Levels is a Pine Script™ v6 open-source indicator that builds on the classic Average Directional Index by adding two critical thresholds at 40 and 60. These extra levels give you early warning of trend exhaustion and precise exit signals when paired with the mura indicator.
Key Features & Originality
Custom Thresholds (40/60): Beyond the standard ADX levels (25/50), levels at 40 and 60 mark advanced trend strength phases and highlight when momentum is beginning to fade.
Trend Weakness Alerts: Configurable alerts trigger when ADX dips below 60 or 40, signaling ideal exit opportunities before a full reversal.
Color-Coded ADX Line: The ADX line dynamically changes color upon crossing 40 and 60, making trend strength transitions instantly visible.
mura Indicator Synergy: Specially designed to complement the mura indicator—when mura signals an exit and ADX falls below your chosen threshold, you get a high-confidence cue to close your position.
How It Works
Advanced Trend Phases: ADX above 25 confirms a trend, above 40 indicates strong momentum, and above 60 signals extreme strength. A drop below 60 or 40 warns of weakening momentum.
Exit Confirmation: Combine a mura exit signal (e.g., dot flip or reversal) with an ADX cross below 40/60 to capture optimal exit points.
Usage & Inputs
ADX Length (default 14): Period for ADX calculation.
Level Inputs: Customize your threshold levels (default: 25, 40, 50, 60).
Alert Toggles: Enable alerts on crosses above or below each level.
Style Settings: Adjust line colors and widths for ADX and threshold lines.
Why This Adds Value
Early Exit Signals: Identify momentum loss before major reversals, protecting profits.
Cleaner Trade Management: Visual cues reduce guesswork when exiting trades.
Modular Design: Use standalone or integrate with mura for robust entry/exit workflows.
Pine Script™ Version: v6
Open-Source License: MPL-2.0
Double Top/Bottom DetectorDouble Top/Bottom Detector Indicator Description
Overview
The Double Top/Bottom Detector is a technical analysis tool designed to automatically identify and label potential double top and double bottom patterns on price charts. By combining pivot point detection with configurable height tolerance and pullback depth criteria, this indicator helps traders visually spot possible trend reversal zones without manual drawing or guesswork.
Key Features
• Pivot Point Identification
The indicator uses a symmetric window approach to find true highs and lows. A pivot high is confirmed only when a bar’s high exceeds the highs of a specified number of bars both before and after it. Likewise, a pivot low is established when a bar’s low is the lowest in its surrounding window.
• Double Top and Double Bottom Detection
– Height Tolerance: Ensures that the two pivot points forming the pattern are within a user-defined percentage of each other.
– Pullback Depth: Measures the drop (for a double top) or the rise (for a double bottom) between the two pivot points and confirms that it meets a minimum percentage threshold.
• Automatic Drawing and Labeling
When a valid double top is detected, a red line connects the two pivot highs and a “Double Top” label is centered above the line. For a double bottom, a green line connects the two pivot lows and a “Double Bottom” label appears below the midpoint.
• Pivot Visualization for Debugging
Small red and green triangles mark every detected pivot high and pivot low on the chart, making it easy to verify and fine-tune settings.
Parameters
Height Tolerance (%) – The maximum allowable percentage difference between the two pivot heights (default 2.0).
Pullback Minimum (%) – The minimum required percentage pullback (for tops) or rebound (for bottoms) between the two pivots (default 5.0).
Pivot Lookback – The number of bars to look back and forward for validating pivot points (default 5).
Window Length – The number of bars over which to compute pullback extrema, equal to twice the pivot lookback plus one (default derived from pivot lookback).
Usage Instructions
1. Copy the Pine Script code into TradingView’s editor and select version 6.
2. Adjust the parameters based on the asset’s volatility and timeframe. A larger lookback window yields fewer but more reliable pivots; tighter height tolerance produces more precise pattern matches.
3. Observe the chart for red and green triangles marking pivot highs and lows. When two qualifying pivots occur, the indicator draws a connecting line and displays a descriptive label.
4. To extend the number of visible historical lines and labels, increase the max\_lines\_count and max\_labels\_count settings in the indicator declaration.
Customization Ideas
• Add volume or moving average filters to reduce false signals.
• Encapsulate pivot logic into reusable functions for cleaner code.
• Incorporate alert conditions to receive notifications when new double top or bottom patterns form.
This indicator is well suited for medium- to long-term analysis and can be combined with risk management rules to enhance decision making.
CVD VWAP (1m CVD, Daily/Weekly + EMA + WMA)🟠 CVD VWAP (1m CVD, Daily/Weekly + EMA + WMA)
This custom indicator combines Cumulative Volume Delta (CVD) with a VWAP-style calculation, built on 1-minute resolution data, and includes smoothed trend analysis via EMA and WMA.
🔍 Key Features:
1-Minute CVD Calculation:
Captures buying vs. selling pressure by comparing close vs. open price per minute.
CVD-Based VWAP:
A custom VWAP that uses CVD instead of price, reset Daily or Weekly (user-selectable). This helps identify volume-weighted mean "pressure" rather than price-weighted mean value.
Smoothed Trend Lines:
EMA (Exponential Moving Average): Applied to the CVD to show short-term momentum shifts.
WMA (Weighted Moving Average): Highlights trend strength and sensitivity with adjustable period, thickness, and color.
Flexible Visuals:
Adjustable thickness for each line.
Displayed in a separate pane for clear analysis, independent of price action.
⚙️ Inputs:
VWAP Reset Mode: Choose between Daily or Weekly reset.
EMA Period & Thickness
WMA Period, Color & Thickness
🧠 Use Cases:
Detect divergence between price and CVD-based VWAP.
Monitor trend alignment via CVD, EMA, and WMA.
Evaluate volume-driven moves, especially during session opens or key volume spikes.
💡 Ideal for traders focused on volume-based analysis, order flow insights, or those looking to enhance VWAP strategies using a more nuanced approach with CVD.
