Mayer Multiple Z-ScoreMayer Multiple is a ratio between the current Market Price and its 200 days moving average.
Being a lagging indicator it shows periods of relative value for the asset but does not have much predictive power.
It is worth noting that the indicator relies on a fairly responsive moving average on the scale of a Bitcoin market cycle and as such may be best suited for the swing traders to find zones where price is overbought and oversold within a market cycle.
Added the Z-Score metric for easy classification of the value of Bitcoin according to this indicator. Customizable thresholds from Z-Score calculation as the metric suffers alpha decay / compression.
Created for TRW
Analisi trend
GOLD SCALPER SESSIONS - By The Homerun SeriesThis zones should be used to turn on/off your gold scalper, for access to our gold scalper please dm the author or @_theindiantrader_ on instagram
SMC Structure IndicatorTitle: SMC Structures Indicator
Description:
The SMC Structures indicator is a powerful tool designed to identify and visualize key structural elements in price action, based on the principles of Smart Money Concepts (SMC). This indicator helps traders identify potential areas of support, resistance, and price reversals by highlighting significant market structures.
Key Features:
Structure Identification: The indicator automatically detects and marks important high and low structures in the market.
Break of Structure (BOS) Detection: It identifies and labels instances where previous structures are broken, indicating potential trend changes or continuations.
Change of Character (CHoCH) Detection: The indicator recognizes and marks Changes of Character, which are significant shifts in market behavior.
Customizable Visuals: Users can personalize the appearance of BOS and CHoCH markings, including colors, line styles, and widths.
Current Structure Display: The indicator can optionally show the current active structure, helping traders understand the immediate market context.
Historical Structure Tracking: Users can specify the number of historical structure breaks to display, allowing for a cleaner chart while maintaining relevant information.
Flexible Break Confirmation: The indicator offers the option to confirm structure breaks using either the candle body or wick, accommodating different trading styles.
Technical Details:
The indicator uses advanced algorithms to identify significant price structures based on local highs and lows.
It employs a lookback period of 10 bars for structure detection, ensuring relevance to current market conditions.
The code includes safeguards to handle different market phases and avoid false signals during ranging periods.
Customization Options:
Colors for Bullish and Bearish BOS and CHoCH markings
Line styles and widths for all structure markings
Number of historical breaks to display
Option to show or hide the current active structure
Choice between candle body or wick for structure break confirmation
Use Cases:
Trend Analysis: Identify the start of new trends or potential trend reversals.
Support and Resistance: Pinpoint key levels where price may react.
Trade Entry and Exit: Use structure breaks as potential entry or exit signals.
Market Context: Understand the broader market structure to make informed trading decisions.
SMA 12 / 25 with Arrows & Dynamic ColorsSMA 12 / 25 with Arrows & Dynamic Colors
Colors are the same after crosses
Up down arrows at crosses
StratNinjaTableAuthor’s Instructions for StratNinjaTable
Purpose:
This indicator is designed to provide traders with a clear and dynamic table displaying The Strat candle patterns across multiple timeframes of your choice.
Usage:
Use the input panel to select which timeframes you want to monitor in the table.
Choose the table position on the chart (top left, center, right, or bottom).
The table will update each bar, showing the candle type, direction arrow, and remaining time until the candle closes for each selected timeframe.
Hover over or inspect the table to understand current market structure per timeframe using The Strat methodology.
Notes:
The Strat pattern is displayed as "1", "2U", "2D", or "3" based on the relationship of current and previous candle highs and lows.
The timer updates in real-time and adapts to daily, weekly, monthly, and extended timeframes.
This script requires Pine Script version 6. Please use it on supported platforms.
MFI or other indicators are not included in this base version but can be integrated separately if desired.
Credits:
Developed and inspired by shayy110 — thanks for your foundational work on The Strat in Pine Script.
Disclaimer:
This script is for educational and informational purposes only. Always verify signals and manage risk accordingly.
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮
☁️ Squeeze Momentum Regression Clouds
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🔍 Overview
The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds .
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⚙️ Core Features
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Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window.
Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds.
Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis.
Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model.
Color-Coded Candles – Optional candle coloring reflects the real-time composite score.
UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud.
Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity.
Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength.
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🧪 How to Use the Indicator
1. Understand Trend Bias with Cloud Colors
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Each Cloud changes color based on its current slope:
Green indicates a rising trend.
Red indicates a falling trend.
Gray indicates a flat slope — often seen during chop or transitions.
Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift.
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2. Use Compression Heat to Anticipate Breakouts
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The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow .
This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout.
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3. Leverage the Optional Table UI
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The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include:
Slope direction and value , with historical Min/Max reference.
Top and Bottom percentile ranks , showing how price sits within the Cloud range.
Current spread width , compared to its historical norms.
Composite score , which blends trend, slope, and compression for that Cloud.
You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header.
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4. Analyze Candle Color for Composite Signals
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When enabled, the indicator colors candles based on a weighted composite score. This score factors in:
The signed slope of each Cloud (up, down, or flat)
The percentile pressure from the top and bottom bands
The degree of spread compression
Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones.
Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting.
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🧰 Configuration Guidance
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To tailor the indicator to your strategy:
Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view.
Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is.
Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized.
Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive).
Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge.
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✅ Best Practices
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Use aligned Cloud colors across all bands to confirm trend conviction.
Combine slope direction with compression glow for early breakout entry setups.
In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation.
Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations.
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📌 License & Usage Terms
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This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License .
✅ You are allowed to:
Use this script for personal or educational purposes
Study, learn, and adapt it for your own non-commercial strategies
❌ You are not allowed to:
Resell or redistribute the script without permission
Use it inside any paid product or service
Republish without giving clear attribution to the original author
For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
🐿️ Squirrel of Wall Street This indicator is provided for educational and informational purposes only. It does not constitute a buy or sell recommendation. The user is solely responsible for any trading decisions. Always do your own research and use appropriate risk management.
ORB Scalp setup by Unenbat With Signal**ORB Scalp Setup by Unenbat with Signal**
This indicator visualizes a custom Opening Range Breakout (ORB) strategy using a 6-minute range split across the end of one hour and the start of the next. It identifies two key trade setups using 1-hour candles:
* **Reverse Signals:** Triggered when the second 1H candle breaks the previous high/low but closes back inside, signaling a reversal.
* **Continuation Signals:** Triggered when the second 1H candle breaks and closes beyond the previous candle’s range, confirming trend continuation.
SL/TP zones are plotted accordingly, with optional fill coloring. No trades are displayed during "inside bars" or "manipulation" candles.
Cumulative Volume Delta (SB-1) 2.0
📈 Cumulative Volume Delta (CVD) — Stair-Step + Threshold Alerts
🔍 Overview
This Cumulative Volume Delta (CVD) tool visualizes aggressive buying and selling pressure in the market by plotting candlestick-style bars based on volume delta. It helps traders understand which side — buyers or sellers — is exerting more control on lower timeframes and highlights momentum shifts through stair-step patterns and delta threshold breaks. Resets to zero at EOD
Ideal for futures traders, scalpers, and intraday strategists looking for orderflow-based confirmation.
🧠 What Is CVD?
CVD (Cumulative Volume Delta) measures the difference between market buys and sells over a specific timeframe. When the delta is rising, it suggests buyers are being more aggressive. Falling delta suggests seller dominance.
This script aggregates volume delta from a lower timeframe and plots it in a higher timeframe context, allowing you to track microstructure shifts within larger candles.
📊 Features
✅ CVD Candlesticks
Each bar represents volume delta as an OHLC-style candle using:
Open: Delta at the start of the bar
High/Low: Peak delta range
Close: Final delta value at bar close
Teal candles = Net buying pressure
Red candles = Net selling pressure
✅ Threshold Levels (Key Visual Zones)
The script includes horizontal dashed lines at:
+5,000 and +10,000 → Signify strong buying pressure
-5,000 and -10,000 → Signify strong selling pressure
0 line → Neutrality line (no net pressure)
These levels act as volume-based support/resistance zones and breakout confirmation tools. For example:
A CVD cross above +5,000 shows buyers taking control
A CVD cross above +10,000 implies strong bullish momentum
A CVD cross below -5,000 or -10,000 signals intense selling pressure
📈 Stair-Step Pattern Detection
Detects two specific volume-based continuation setups:
Bullish Stair-Step: Both the high and low of the CVD candle are higher than the previous candle
Bearish Stair-Step: Both the high and low of the CVD candle are lower than the previous candle
These patterns often appear during trending moves and serve as confirmation of strength or continuation.
Visual markers:
🟢 Green triangles below bars = Bullish stair-step
🔴 Red triangles above bars = Bearish stair-step
🔔 Alert Conditions
Get real-time alerts when:
Bullish Stair-Step is detected
Bearish Stair-Step is detected
CVD crosses above +5,000
CVD crosses below -5,000
📢 Alerts only trigger on crossover, not every time CVD remains above or below. This avoids repetitive notifications.
⚙️ Inputs & Customization
Anchor Timeframe: The higher timeframe to which CVD data is applied (default: 1D)
Lower Timeframe: The timeframe used to calculate the CVD delta (default: 5 minutes)
Optional Override: Use custom timeframe toggle to force your own micro timeframe
📌 How to Use This CVD Indicator (Step-by-Step Guide)
✅ 1. Confirm Bias Using the Zero Line
The zero line (0 CVD) represents neutral pressure — neither buyers nor sellers are dominating.
Use it as your first filter:
🔼 If CVD is above 0 and rising → Buyer control
🔽 If CVD is below 0 and falling → Seller control
🧠 Tip: CVD rising while price is consolidating may signal hidden buyer interest.
✅ 2. Watch for Crosses of Key Levels: +5,000 and +10,000
These levels act as momentum thresholds:
Level Signal Type What It Means
+5,000 Buyer breakout Buyers are starting to dominate
+10,000 Strong bull bias Strong institutional or algorithmic buying flow
-5,000 Seller breakout Sellers are taking control
-10,000 Strong bear bias Heavy selling pressure is entering the market
Wait for CVD to cross above +5K or below -5K to confirm the active side.
Use these crossovers as entry triggers, breakout confirmations, or trade filters.
🔔 Alerts fire only when the level is first crossed, not every bar above/below.
✅ 3. Use Stair-Step Patterns for Continuation Confirmation
The indicator shows stair-step patterns using triangle signals:
🟢 Green triangle below bar = Bullish stair-step
Suggests a higher high and higher low in delta → buyers stepping up
🔴 Red triangle above bar = Bearish stair-step
Suggests lower highs and lower lows in delta → selling pressure building
Use stair-step signals:
To confirm a continuation of trend
As an entry or add-on signal
Especially after a threshold breakout
🧠 Example: If CVD breaks above +5K and forms bullish stairs → confirms strong trend, ideal for momentum entries.
✅ 4. Combine with Price Action or Structure
CVD works best when used with price, not in isolation. For example:
📉 Price makes a new low but CVD doesn’t → potential bullish divergence
📈 CVD surges while price lags → buyers are absorbing, breakout likely
Use it with:
VWAP
Orderblocks
Liquidity sweeps
Break of market structure/MSS/BOS
✅ 5.
Set Anchor Timeframe = Daily
Set Lower Timeframe = 5 minutes (default)
This lets you:
See intraday flow inside daily bars
Confirm whether a daily candle is being built on net buying or selling
🧠 You’re essentially seeing intra-bar aggression within a bigger time structure.
🧭 Example Trading Setup
Bullish Scenario:
CVD is rising and above 0
CVD crosses above +5,000 → alert fires
Green stair-step appears
Price breaks local resistance or liquidity sweep completes
✅ Consider long entry with structure and CVD alignment
🎯 Place stops below last stair-step or structural low
📌 Final Notes
This tool does not repaint and is designed to work in real-time across all futures, crypto, and equity instruments that support volume data. If your symbol does not provide volume, the script will notify you.
Use it in confluence with VWAP, liquidity zones, or structure breaks for high-confidence trades.
SuperSARSuperSAR is a multi-timeframe PSAR-based indicator that generates buy and sell signals when price aligns above or below Parabolic SAR values across six timeframes (1m–15m). Optional time filtering and cooldown logic help reduce noise and prevent signal spamming. Ideal for identifying strong directional trends with confirmation.
ai quant oculusAI QUANT OCULUS
Version 1.0 | Pine Script v6
Purpose & Innovation
AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points.
How It Works & Why Its Components Matter
Trend Filter: EMA vs. Adaptive MA
EMA (20) measures the prevailing trend with fixed sensitivity.
Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter.
Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action.
Momentum Confirmation: TRIX
Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator.
Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts.
Gaussian Price Smoother
Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise.
Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes.
Confluence Signals
Buy Signal (isBull) fires only when:
AMA > EMA (trend alignment)
TRIX > 0 (momentum support)
Close > Gaussian (price strength)
Sell Signal (isBear) fires under the inverse conditions.
Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems.
Automatic Risk & Reward Plotting
On each new buy or sell signal (edge detection via not isBull or not isBear ), the script:
Stores entryPrice at the signal bar’s close.
Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default.
Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×).
All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade.
Inputs & Customization
Input Description Default
EMA Length Period for the main trend EMA 20
Adaptive MA Length Period for the faster adaptive EM A substitute 10
TRIX Length Period for the triple-smoothed momentum oscillator 15
Dominant Cycle Length (Reserved) 40
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Show Buy/Sell Signals Toggle on-chart labels for entry signals On
How to Use
Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps.
Wait for Full Confluence:
Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar.
A bright “LONG” or “SHORT” label marks your entry.
Manage the Trade:
Place your stop where the red or green SL line appears.
Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility.
Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup.
Why This Script Stands Out
Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies.
Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal.
Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments.
Disclaimer
No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT
📖 Description:
This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups.
At its core, it merges:
A Bollinger Band % Positioning Model (BB%)
A 75th/25th Percentile Momentum System
A Volatility-Adjusted Trend Filter using RMA + ATR
All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups.
Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations.
⚙️ Methodology Overview:
Bollinger Bands % (BB%):
Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes.
Volatility-Based Trend Filter (RMA + ATR):
A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility.
Percentile Momentum Model (75th/25th Rank):
Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition.
Signal Consensus Engine:
All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted.
Gradient Oscillator Visualization:
Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance.
🔧 User Inputs:
🧠 Core Settings:
Source: Select the price input (default: close)
Bollinger Bands Length: Period for BB basis and deviation
Bollinger Bands Multiplier: Width of the bands
Minimum BB Width (% of Price): Prevents signals during low-volatility chop
📊 BB% Thresholds:
BB% Long Threshold (L): Minimum %B to consider a long
BB% Short Threshold (S): Maximum %B to consider a short
🔍 Trend Filter Parameters:
RMA Length: Period for the smoothed trend baseline
ATR Length: Lookback for ATR in trend deviation filter
⚡️ Momentum Parameters:
Momentum Length: Period for percentile momentum calculation
Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels
🎨 Visualization:
Bar Coloring: Highlights candles during active signals
Background Coloring: Optional background shading for signals
Show Oscillator Plot: Toggle the gradient-style oscillator
🧪 Use Case:
This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion.
⚠️ Notes:
This is not financial advice. Use in combination with proper risk management and confluence from other tools.
Historical Year OverlayThis script allows you to simply source any historical calendar year and overlay it over any other year (usually a historical year overlaying a year in the future). It was made using an LLM for coding help and logic.
It is great for working out potential pivots and it also maps the previous profit/loss from the source year over the plot year so that we can see the connection to price levels throughout the plot year and also with the yearly close (we get a horizontal line for the close).
It uses the year open as a price reference to plot the P&L over the plot year (if use plot year option is selected).
if the year has not started yet you can use the "manual opening price" OR it will auto set to the current price (great for "replay mode", it will catch the actual opening price once it happens).
The settings are self explanatory. Choose a source year and plot year.
Choose a multiplier if you'd like (it simply multiplies the plot year P&L by that number; ie: 1 means the same as it was, 0.5 means half of what is was, 2 means 2x the source P&L)
The resolution is max default 50 line segments but you can simplify if you'd like.
I've released the code open-source so you can see what it is doing.
Please update it with all the enhancements you can think of.
Please let me know if you do this as I will be very interested!
FFT Signal AnalyzerFFT Signal Analyzer
The FFT Signal Analyzer uses a simplified Fast Fourier Transform (FFT) approach to extract dominant cyclical components from price data. By detrending and applying adaptive smoothing, the indicator highlights frequency-driven signals that traditional indicators often miss.
This tool is ideal for traders who want to visualize cyclical market behavior, identify turning points, and confirm entries/exits with frequency-based momentum signals.
How it works:
Removes price trend via detrending (moving average subtraction)
Applies a bandpass filter (EMA) to isolate dominant frequency components
Normalizes the signal using a z-score for consistent visibility
Amplifies the signal for easy interpretation
Highlights slope changes with background coloring (green = rising, red = falling)
Use Cases:
Use zero-line crosses to detect cycle shifts or momentum pivots
Combine with trend filters (e.g., GRJMOM) for high-probability setups
Ideal for detecting underlying rhythm in sideways or oscillating markets
Best for:
Swing traders, scalpers, and cycle analysts looking for frequency-aware confirmation signals
Works on all timeframes and asset classes
Rsi bar, divergences, tether line, ema 20,50 -Ema 20,50
-Tether Line dominance
-Buy/sell pressure
-Rsi last candle
-byu sell signal
-rsi divergence
-macd divergence
-Coloured candles 25,30 rsi and 70 rsi
On-Chain Signals [LuxAlgo]The On-Chain Signals indicator uses fundamental blockchain metrics to provide traders with an objective technical view of their favorite cryptocurrencies.
It uses IntoTheBlock datasets integrated within TradingView to generate four key signals: Net Network Growth, In the Money, Concentration, and Large Transactions.
Together, these four signals provide traders with an overall directional bias of the market. All of the data can be visualized as a gauge, table, historical plot, or average.
🔶 USAGE
The main goal of this tool is to provide an overall directional bias based on four blockchain signals, each with three possible biases: bearish, neutral, or bullish. The thresholds for each signal bias can be adjusted on the settings panel.
These signals are based on IntoTheBlock's On-Chain Signals.
Net network growth: Change in the total number of addresses over the last seven periods; i.e., how many new addresses are being created.
In the Money: Change in the seven-period moving average of the total supply in the money. This shows how many addresses are profitable.
Concentration: Change in the aggregate addresses of whales and investors from the previous period. These are addresses holding at least 0.1% of the supply. This shows how many addresses are in the hands of a few.
Large Transactions: Changes in the number of transactions over $100,000. This metric tracks convergence or divergence from the 21- and 30-day EMAs and indicates the momentum of large transactions.
All of these signals together form the blockchain's overall directional bias.
Bearish: The number of bearish individual signals is greater than the number of bullish individual signals.
Neutral: The number of bearish individual signals is equal to the number of bullish individual signals.
Bullish: The number of bullish individual signals is greater than the number of bearish individual signals.
If the overall directional bias is bullish, we can expect the price of the observed cryptocurrency to increase. If the bias is bearish, we can expect the price to decrease. If the signal is neutral, the price may be more likely to stay the same.
Traders should be aware of two things. First, the signals provide optimal results when the chart is set to the daily timeframe. Second, the tool uses IntoTheBlock data, which is available on TradingView. Therefore, some cryptocurrencies may not be available.
🔹 Display Mode
Traders have three different display modes at their disposal. These modes can be easily selected from the settings panel. The gauge is set by default.
🔹 Gauge
The gauge will appear in the center of the visible space. Traders can adjust its size using the Scale parameter in the Settings panel. They can also give it a curved effect.
The number of bars displayed directly affects the gauge's resolution: More bars result in better resolution.
The chart above shows the effect that different scale configurations have on the gauge.
🔹 Historical Data
The chart above shows the historical data for each of the four signals.
Traders can use this mode to adjust the thresholds for each signal on the settings panel to fit the behavior of each cryptocurrency. They can also analyze how each metric impacts price behavior over time.
🔹 Average
This display mode provides an easy way to see the overall bias of past prices in order to analyze price behavior in relation to the underlying blockchain's directional bias.
The average is calculated by taking the values of the overall bias as -1 for bearish, 0 for neutral, and +1 for bullish, and then applying a triangular moving average over 20 periods by default. Simple and exponential moving averages are available, and traders can select the period length from the settings panel.
🔶 DETAILS
The four signals are based on IntoTheBlock's On-Chain Signals. We gather the data, manipulate it, and build the signals depending on each threshold.
Net network growth
float netNetworkGrowthData = customData('_TOTALADDRESSES')
float netNetworkGrowth = 100*(netNetworkGrowthData /netNetworkGrowthData - 1)
In the Money
float inTheMoneyData = customData('_INOUTMONEYIN')
float averageBalance = customData('_AVGBALANCE')
float inTheMoneyBalance = inTheMoneyData*averageBalance
float sma = ta.sma(inTheMoneyBalance,7)
float inTheMoney = ta.roc(sma,1)
Concentration
float whalesData = customData('_WHALESPERCENTAGE')
float inverstorsData = customData('_INVESTORSPERCENTAGE')
float bigHands = whalesData+inverstorsData
float concentration = ta.change(bigHands )*100
Large Transactions
float largeTransacionsData = customData('_LARGETXCOUNT')
float largeTX21 = ta.ema(largeTransacionsData,21)
float largeTX30 = ta.ema(largeTransacionsData,30)
float largeTransacions = ((largeTX21 - largeTX30)/largeTX30)*100
🔶 SETTINGS
Display mode: Select between gauge, historical data and average.
Average: Select a smoothing method and length period.
🔹 Thresholds
Net Network Growth : Bullish and bearish thresholds for this signal.
In The Money : Bullish and bearish thresholds for this signal.
Concentration : Bullish and bearish thresholds for this signal.
Transactions : Bullish and bearish thresholds for this signal.
🔹 Dashboard
Dashboard : Enable/disable dashboard display
Position : Select dashboard location
Size : Select dashboard size
🔹 Gauge
Scale : Select the size of the gauge
Curved : Enable/disable curved mode
Select Gauge colors for bearish, neutral and bullish bias
🔹 Style
Net Network Growth : Enable/disable historical plot and choose color
In The Money : Enable/disable historical plot and choose color
Concentration : Enable/disable historical plot and choose color
Large Transacions : Enable/disable historical plot and choose color
Trend Zones & ATR Targets[CongTrader]TrendZones ATR is a dynamic trend and support/resistance indicator that combines Hull Moving Average (HMA) smoothing, mid-price analysis, and ATR-based targets to identify precise trading zones and risk levels.
Key Features:
Adaptive Trend Zones — Calculates upper, midline (CoG), and lower borders from smoothed mid-price, adapting to market volatility.
Trend Classification — Detects uptrend, downtrend, or sideways conditions using slope-based logic.
Safe Level & Logical Stop — Automatically sets risk levels according to price zone classification.
Flexible TP Methods — Choose between %-based or ATR-based take-profit targets.
Optional ATR Support Zone — Adds an ATR-based support level for stronger confluence.
Risk & Zone Width Table — Displays real-time risk and channel width data on the chart.
How to Use:
Apply the indicator to any symbol and timeframe.
Identify market zones with color-coded fills.
Align trades with the detected trend direction.
Use Safe Level or Logical Stop for stop-loss placement.
Set TP targets using either % or ATR multiplier.
Combine with your own trade confirmation method for optimal results.
Acknowledgment:
Thanks to the TradingView community for inspiration and feedback. This script is original work by CongTrader.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Trading carries risk and may not be suitable for all investors. Do your own research before making any trading decisions. The author is not responsible for any losses resulting from the use of this script.
#trendzones #atr #supportresistance #tradingview #forex #crypto #stocks #daytrading #swingtrading #riskmanagement #chartanalysis .
TSD Quantum [Moeinudin Montazerfaraj] 🔸 "TSD" stands for **Trend 1-2-3 and Supply & Demand**, which is the foundation of the trading style this indicator is built upon.
🔹 TSD Quantum is a specialized indicator designed exclusively for day traders who trade EURUSD, XAUUSD (Gold), and DAX40 on the 1H, 15M, and 5M timeframes using a Supply & Demand-based strategy.
This indicator is **not suitable for other symbols** and has been tailored specifically for these three assets to ensure high precision and effectiveness.
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### 🔍 Key Features:
✅ **Trading Checklist Panel**
A built-in checklist helps you track every rule in your trading plan. If even one condition is left unchecked, the system highlights it in red and marks the trade as "Not Allowed." This feature enhances trading discipline.
✅ **Spread & ATR Control Panel**
Supports both auto-calculated and fixed values for spread and ATR. This is especially helpful when placing stop-losses quickly and accurately.
✅ **Inside & Outside Candle Detection**
A dedicated panel highlights whether the last candle is inside or outside. Hovering your mouse over the chart elements automatically colorizes the candles:
🔵 Blue = Outside candle
🔴 Red = Inside candle
Also displays the high/low of the latest outside bar.
✅ **Weekly Trade Stats Panel**
Custom-built for the mentioned three assets. You can enter your trades using either fixed risk or floating risk models.
✅ **Performance Metrics**
Helps you build and adjust a floating risk model—so you don’t have to enter every trade with the same lot size. Improves risk management across multiple trades.
✅ **Base Candles Display**
Grey and white base candles are marked based on supply and demand zones.
✅ **EOT Candles**
Candles with a green dot underneath indicate valid EOT opportunities for potential move-outs.
✅ **RC (Rejection Candle) Detection**
RC candles are automatically detected to alert you of potential traps or weaknesses during Supply/Demand formations.
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### ⚠️ Disclaimer
This indicator does **not** issue buy/sell signals and **cannot guarantee profit or prevent loss**. It is a **tool for discretionary trading**, not an automated expert advisor.
All decisions must be made by the trader based on their own strategy and risk tolerance.
This is the **latest tested version** of TSD Quantum. All features have been validated and function as intended. Future updates will be provided if needed.
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🙏 Thank you for reviewing this script. We hope it becomes a valuable addition to your day trading toolkit!
ATR-Scaled Deviation OscillatorATR-DevOsc is a custom momentum-and-volatility adaptive oscillator that scales N-bar price momentum by its rolling deviation and then reacts dynamically to sudden ATR spikes. By shrinking the deviation window when true volatility surges, it amplifies extreme moves—making medium-term trend shifts and deep drawdowns far more likely to breach your predefined thresholds.
Key features include:
• configurable momentum length and separate deviation length for precise control over look-back periods
• ATR Reaction Multiplier to tune how strongly sudden volatility spikes contract the deviation, boosting oscillator amplitude during extreme moves
• independent upper and lower threshold inputs for clear long/short signal definitions
• integrated candle-coloring overlay to immediately visualize trend state on your price chart
• built-in alert conditions for both oscillator-threshold crossovers and ATR-reactive triggers
This indicator is particularly useful for swing traders seeking medium-term entry and exit points in highly volatile markets like BTC. It combines normalized momentum readings with true volatility feedback, so large drawdowns or breakouts generate unmistakable signal events while routine noise stays filtered.
Note: ATR-DevOsc is provided “as is” without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
Year Dividers with LabelsDraws year start markers due visually show start of a year. Useful when looking at year seasonality and related factors
Multi‑TF Previous High/Low (Extends Both Ways + Labels)Use this indicator if you want to automate Support and Resistance levels.
Previous Day High and Low - Green Lines
Previous 4 Hour High and Low - Yellow Lines
Previous 1 Hour High and Low - Orange Lines
Previous 15 Minute High and Low - Light Blue Lines
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Taiyoz Gaps1. Purpose
Tyoz Gaps highlights “gaps” between yesterday’s close and today’s open directly on your chart. A gap occurs when the opening price is significantly above or below the prior bar’s close. By drawing persistent boxes around each gap, you can instantly see where price left a void and monitor when (or if) that void gets completely filled.
2. Gap Detection Logic
Threshold: A gap is only detected if the open-to-previous-close difference exceeds a user-defined “Minimal Deviation” (percentage of the 14-bar average high-low range).
Direction:
Gap Up: today’s open > yesterday’s close
Gap Down: today’s open < yesterday’s close
3. Box Drawing
For each detected gap, the script draws a rectangular box spanning from yesterday’s close level to today’s open level.
Border & Fill Colors are configurable separately for up-gaps and down-gaps.
Boxes extend to the right as new bars form.
4. Display & Filtering Options
Show Gap Up / Show Gap Down toggles let you hide bullish or bearish gaps independently.
Max Number of Gaps: Limits how many boxes remain on-screen; oldest boxes are removed when the limit is exceeded.
Limit Max Gap Trail Length: Optionally force-close any gap box after a given number of bars, even if unfilled.
5. Closing Logic
Full-Fill Only: A gap box stays visible until price fully “fills” it—i.e., for an up-gap, price must exceed the top edge (yesterday’s close); for a down-gap, price must cross below the bottom edge.
Once filled, the box is removed and a “Gap Closed” alert flag is set.
6. Labels & Alerts
Each active gap can optionally show a label at the gap’s lower edge containing:
Absolute size (in price points) and percentage of the gap
Bar count since the gap formed
Label Text Color and Label Text Size are both user-configurable.
Two built-in alertcondition()s fire when a new gap appears or when a gap closes.
Desempenho 4ªs (MA)This Pine Script v5 indicator calculates the performance from Wednesday to Wednesday at 10:30 AM for the charted instrument. Every Wednesday at that time, it records the closing price and computes the percentage change, assigning a signal: +1 for increases above 1 %, -1 for declines below -1 %, and 0 for intermediate movements. It plots a five-period simple moving average on the main chart, color-coded green, red, or gray based on the weekly signal. Vertical dotted lines mark each weekly separation, and two blue horizontal lines denote the ±1 % thresholds for the current week. A label displays the performance percentage and signal.