Above/Below All TableThis indicator provides a snapshot of where various markets are in reference to 4 key opening times. These key times are:
18:00 (Globex open)
00:00 (Midnight open)
9:30 (RTH open)
9:45 (End of first 15 minutes of RTH)
The trading concept here is that price is likely to revert back into the current daily range if it is below all 4 of the time-based prices or above all of the time-based prices. When price is between those levels it will often chop around and be harder to navigate.
This indicator provides traders with a snapshot of price relative to those 4 levels across up to 6 different tradable instruments, indicating which direction price is expected to move for each of those instruments. This way, the trader can see which instruments are expected to potentially reverse and which ones are more likely to chop. In this way, they can select which markets to focus their attention on based on this key snapshot.
Used in conjunction with for entries, this strategy can help traders to avoid trading instruments that are less likely to move favorably on a given day.
Warning: this strategy will be ineffective on trending days as price is less likely to revert into a range on days where it is trending. It is recommended to use a trend strength tool to identify potential days where this may occur.
Wskaźniki i strategie
TB DayProfile (stabil)TB DayProfile Indicator
The TB DayProfile plots intraday price movements relative to the current day’s opening price. Each bar is shifted so that the daily open acts as a fixed zero line, making it easy to see how far the market has moved above or below the open during the session.
The indicator includes:
Relative intraday bars (iOpen, iHigh, iLow, iClose): Displayed as a custom bar chart, showing price action normalized to the day’s open.
Zero line with color signals: Turns green if the number of consecutive bars above the open exceeds a user-defined threshold, or red if below.
ATR reference bands: Daily ATR(5) from the previous day (scaled by 0.25) is plotted as upper and lower bands, helping to gauge typical intraday ranges.
This tool helps traders quickly identify whether the market is trending strongly away from the daily open, or if price is reverting back toward it, independent of the chosen chart timeframe.
God EyeGod Eye is an innovative indicator that anticipates market movements through intelligent processing of key liquidity concepts, aligning quantitative analysis with the dynamic reading of market flows.
Ultimate📖 Indicator Description – Ultimate
The Ultimate Indicator is a complete charting framework that combines linear regression channels, dynamic deviation bands, EMA ribbons, volatility spreads, and entry/exit markers. It is designed to help traders visualize trend direction, potential reversals, and trade setups with precision.
🔹 What You See on the Chart
Channel Lines (Linear Regression Bands)
Green dotted line (median): Fair value trendline based on regression.
Red dashed line (upper band): Dynamic resistance zone.
Blue dashed line (lower band): Dynamic support zone.
Mid-bands (thin dotted red/blue): Halfway between median and outer bands, useful for scaling entries or partial exits.
🔹 EMA Ribbon (Light Green Shades)
Multiple EMAs (5, 8, 13, 21, 34) plotted in progressively lighter green.
Helps visualize momentum shifts and trend strength.
Ribbon turns more aqua/green when short-term EMAs align bullishly.
🙌Markers on Price
🔴 Red Circle (Dot): Short entry signal (price rejecting upper deviation band).
🔵 Blue Circle (Dot): Long entry signal (price bouncing off lower deviation band).
❌ Red X: Peak formation detected, potential short setup (not always valid).
🔷 Blue Diamond: Trough formation detected, potential long setup (not always valid).
Numbers Above/Below Candles
🔴Red numbers (above peaks): % spread from the bottom to the peak, showing upward volatility.
🔵 Blue numbers (below troughs): % spread from the top to the trough, showing downward volatility.
These values help traders gauge the strength of recent swings and compare volatility expansions.
🔹 Signal Logic🔹
🔵Long Signal (Blue Circle):
Forms when price makes a trough and crosses back above the lower regression band.
Confirms potential upside reversal with stop-loss guided by ATR or swing low.
🔴Short Signal (Red Circle):
Forms when price makes a peak and crosses below the upper regression band.
Confirms potential downside reversal with stop-loss guided by ATR or swing high.
❌ Peaks (Red X):
Indicate local tops. Not all peaks convert into shorts, but they warn of resistance zones.
🔹Troughs (Blue Diamonds):
Indicate local bottoms. Not all troughs convert into longs, but they warn of support zones.
🔹 Alerts
When a valid long or short setup is confirmed, an alert fires with:
Ticker name
Entry price
Suggested position size (Quantity)
Stop loss level (ATR-based or HL-based)
Take profit level (calculated by reward multiple)
🔹 Inputs & Customization
Quantity: Lot size suggestion.
Deviation: Multiplier for regression channel width.
Take Profit: Risk-to-reward multiplier.
Stop Loss: ATR or High/Low based.
Trend Lines: Choose between extended or fixed channels.
Period: Lookback window for regression.
Spread Percentages: Toggle volatility labels on/off.
🔹 How to Use
Trend Following: Ride price inside the channel using EMA ribbon alignment.
Reversal Trading: Enter at deviation extremes with confirmation signals.
Volatility Mapping: Use spread % labels to measure the strength of market swings.
Risk Management: ATR-based stops adapt to volatility, while HL stops give structural support/resistance.
✅ In summary:
The Ultimate Indicator is not just a regression channel—it’s a multi-layered system that highlights trend bias, entry/exit signals, volatility spreads, and adaptive risk levels. It allows traders to see at a glance whether the market is trending, ranging, or preparing for a reversal.
All in 1 by trading spell_kkall in one indicator sharing a mix of ema, quarterly earnings, adr, and market cap
AlgoGram Trend Identifier📊 Algogram Trend Identifier (ATI)
The Algogram Trend Identifier (ATI) is a powerful trend-following oscillator designed to help traders identify market direction, momentum strength, divergences, and consolidation zones across multiple timeframes.
🔑 Key Features:
Multi-Timeframe Presets – Choose from 5m, 15m (default), 30m, 1h, and Daily for optimized settings.
Adaptive ALMA Calculation – Uses ALMA smoothing with dynamic thresholds to detect clean trend shifts.
Trend Highlighting – Visual coloring of oscillator and optional bar coloring for quick market bias recognition.
Customizable Thresholds & Bands – Fine-tune upper/lower thresholds, consolidation zones, and band multipliers.
Consolidation Detection – Highlights when the market is moving sideways with adjustable parameters.
Divergence Detection – Automatically detects bullish & bearish divergences with optional lines and dots.
Dynamic Alerts – Built-in alerts for:
Crossing thresholds
Zero line crosses
Uptrend / Downtrend detection
Bullish / Bearish divergences
RMS consolidation breakouts
🎯 How to Use:
Above Zero Line → Bullish trend bias.
Below Zero Line → Bearish trend bias.
Consolidation Zone → Market may range or prepare for breakout.
Bullish Divergence → Potential reversal to upside.
Bearish Divergence → Potential reversal to downside.
⚡ Best For:
Swing Traders, Scalpers, and Positional Traders
Identifying trend strength, early reversals, and breakout opportunities
Works on stocks, crypto, forex, and indices
Weighted Sector ADD (sign-weighted)What it is
A true, cap-weighted advances/declines (ADD) proxy for the S&P 500 using sector ETFs. Each sector contributes +1 if it’s up on the bar, −1 if it’s down, 0 if flat. Those signals are then weighted by your sector weights (auto-normalized to 100%) and summed into a single breadth line. The result is a fast, low-noise read of how much of the S&P (by sector weight) is advancing vs. declining right now.
- Tracks participation, not price magnitude—perfect for spotting “broad vs. narrow” moves
- Heavily weighted sectors (e.g., Tech) matter proportionally more, reflecting real index impact
- Simple scale: ~−1 to +1 (all weight down → all weight up)
Chart Elements
- Green/Red Columns – “Weighted ADD”: Current bar’s weighted breadth (sign-based by default)
- Blue Line – “Weighted MA”: SMA of the weighted ADD (regime filter)
- Zero/Guide Lines (optional): 0.0, ±0.2 (mild), ±0.6 (strong)
- Labels (optional): Text markers at those guide levels
- Advancing Weight % (optional): Label showing ((ADD+1)/2)*100 → share of total sector weight advancing
How to Read (Quick Guide)
- +0.60 to +1.00 → Broad, one-sided risk-on (most sector weight advancing)
- +0.20 to +0.60 → Moderate, supportive breadth
- −0.20 to +0.20 → Mixed/choppy; rotation
- −0.60 to −1.00 → Broad, one-sided risk-off
- MA above/below zero → Simple regime indicator; zero-crosses could be potential alert triggers
- Divergence: Strong price move with a weak/flat ADD could potentially warn of narrow participation
Inputs & settings
Calculation
- Use returns instead of up/down sign?
OFF (default): true weighted participation (+1/−1/0)
ON: weighted sector returns (winsor-capped). Use if you want magnitude, not just direction
- Winsor cap (returns mode): Caps per-sector contribution in returns mode (e.g., 0.02 = ±2%)
- Smoothing MA length: SMA period for the blue “Weighted MA” line
- Source timeframe: Compute signals on another TF (e.g., “60”) but plot on your chart TF
Visibility
- Show Weighted ADD (bars): Toggle the green/red columns
- Show Weighted ADD MA: Toggle the blue SMA line
- Show Zero Line (0): Toggle the 0.0 reference line
- Show ±0.2 / ±0.6 guide lines: Toggle the helper levels
- Show guide labels: Draw small text labels at 0, ±0.2, ±0.6
- Guide label offset (bars left): Move labels left if they overlap the right edge values
- Show Advancing Weight % label: Toggle the % of sector weight currently advancing
Sector Symbols (ETF proxies)
- XLK, XLY, XLF, XLV, XLC, XLI, XLP, XLE, XLB, XLU, XLRE: Defaults to the SPDR sector ETFs. You can swap for alternative proxies if desired.
Sector Weights (auto-normalize)
- Weight inputs for each sector (e.g., Tech 0.30, Financials 0.13…). These auto-normalize to 1.0 so you can paste rough numbers; the script scales them.
- Keep weights fresh. GICS sector weights drift; update periodically (e.g., quarterly).
Alerts included
- “Weighted ADD crossed above 0”
- “Weighted ADD crossed below 0”
Version
v1.0 – Initial release (weighted sign-based ADD + SMA, zero/guide lines & labels, Adv % label, alerts).
AlphaConsensus Meter - Multi-Timeframe Trend Consensus🎯 AlphaConsensus Meter
The Problem Every Trader Faces:
You're looking at a 1-hour chart showing strong bullish momentum, but is the daily trend aligned? What about the 4-hour? Most traders guess.
The Solution:
This indicator combines trend strength across 4 customizable timeframes into a single consensus score (0-100). When all your chosen timeframes align above 70, you have maximum confidence. When they conflict, you know to be cautious.
🔥 Key Features:
✅ Fully Customizable Timeframes - Choose ANY 4 timeframes that match your trading style
✅ Multi-Component Analysis - Combines ADX strength, EMA alignment, and momentum slope
✅ Professional Table Display - See individual timeframe scores + overall consensus
✅ Clean Chart Interface - No clutter, just actionable intelligence
✅ Smart Alerts - Get notified when consensus enters key zones
✅ Universal Compatibility - Works on all markets: Forex, Crypto, Stocks, Commodities
📊 How It Works:
The indicator calculates trend consensus using three proven components:
ADX (40%) - Pure trend strength measurement
Trend Direction (40%) - Price vs EMA positioning
Momentum (20%) - Rate of trend acceleration
Each timeframe gets scored 0-100, then combined for your overall consensus reading.
🎨 Color-Coded Zones:
🟢 70-100: STRONG CONSENSUS - High-confidence trend continuation zone
🟡 30-70: MIXED SIGNALS - Conflicting timeframes, trade with caution
🔴 0-30: WEAK CONSENSUS - Low conviction, consider range-bound strategies
💡Tips:
Day Traders: Use 1m, 5m, 15m, 1H timeframes
Swing Traders: Use 1H, 4H, 1D, 1W timeframes
Position Traders: Use 4H, 1D, 1W, 1M timeframes
Best Setups: All 4 timeframes showing 70+ consensus (green)
Avoid: Mixed signals with conflicting colors
⚡ Default Setup:
Timeframe 1: Current chart period
Timeframe 2: 60 minutes
Timeframe 3: 240 minutes (4H)
Timeframe 4: Daily
🚀 Why This Indicator Works:
Most traders focus on single timeframes and miss the bigger picture. This tool gives you the multi-timeframe consensus packaged in a clean, easy-to-read format.
📈 Perfect For:
Confirming trend continuation setups
Identifying high-probability entry zones
Avoiding false breakouts with weak consensus
Building multi-timeframe confluence
⚠️ Disclaimer: This is for educational purposes. Past performance doesn't guarantee future results. Always use proper risk management.
bawang — Capital Filter bawang — Capital Filter (Sub Chart Edition) does not provide any financial services. This script is intended solely as a tool to help users better understand capital flow analysis and indicator behavior.
bawang — Capital Filter (Sub Chart Edition) and its development team members are not registered investment advisors and are not qualified to provide financial advice. All content provided by this script and its team members is for educational purposes only.
bawang — Capital Filter (Sub Chart Edition) and its development team members accept no responsibility for any losses or damages arising from its use. You are fully responsible for all risks you take. Nothing provided by this script should be regarded as investment advice.
bawang — MACD Momentumbawang — MACD Momentum (Sub Chart Edition) does not provide any financial services. This script is intended solely as a tool to help users better understand MACD-based momentum analysis.
bawang — MACD Momentum (Sub Chart Edition) and its development team members are not registered investment advisors and are not qualified to provide financial advice. All content provided by this script and its team members is for educational purposes only.
bawang — MACD Momentum (Sub Chart Edition) and its development team members accept no responsibility for any losses or damages arising from its use. You are fully responsible for all risks you take. Nothing provided by this script should be regarded as investment advice.
VIM (Volume in Money)Volume in Money + MA (Short Numbers & Coloring)
This indicator visualizes the monetary volume traded in each candle, calculated as:
Money Volume
=
Volume
×
Close Price
Money Volume=Volume×Close Price
🔹 Features:
Plots bars representing the money volume (total traded value).
Coloring options:
• Prev Close → Green if the current close is higher than the previous close, Red if lower.
• Candle Direction → Green if the candle is bullish (close > open), Red if bearish (close < open).
Moving Average (default length: 14) applied on the money volume for trend analysis.
Axis values and labels displayed in a shortened format (K, M, B, T) for readability.
📊 This helps traders quickly identify whether large amounts of money flowed into or out of the asset, making it easier to detect unusual activity compared to regular volume indicators.
sarbesh tiwari- Separate ATRprice action. itv shows good result. donate if make profit.contact at mitthu497@gmail.com
Bawang - ttbawang — True Transaction (Sub Chart Edition) does not provide any financial services. This script is intended solely as a tool to help users better understand market dynamics and indicator behavior.
bawang — True Transaction (Sub Chart Edition) and its development team members are not registered investment advisors and are not qualified to provide financial advice. All content provided by this script and its team members is for educational purposes only.
bawang — True Transaction (Sub Chart Edition) and its development team members accept no responsibility for any losses or damages arising from its use. You are fully responsible for all risks you take. Nothing provided by this script should be regarded as investment advice.
Financial Table by QuarterFinancial Table by Quarter
Summary
This indicator was created to help fundamental traders analyze historical financial data directly on the chart, eliminating the need to switch between screens. The table displays key metrics for each calendar year, broken down by quarter (Q1-Q4) with an annual total, providing a clear overview of a company's growth at a glance. It is also highly customizable to fit your trading style and chart theme.
Key Features
Financial Data Table: Organizes data by calendar year, showing details for each quarter (Q1, Q2, Q3, Q4) and a "Total" column for the annual summary.
Selectable Metrics (3 Options): Easily switch between three crucial financial metrics via a dropdown menu:
Total Revenue
Net Income
EPS (Earnings Per Share)
Highly Customizable:
Table Position: Choose from 9 standard positions on your chart.
Lookback Years: Adjust the number of historical years to display (from 1 to 20).
Number Format: Select how large numbers are displayed (Automatic K/M/B/T, Millions only, Billions only, or the full number).
Decimal Places: Control the precision of the numbers from 0 to 4 decimal places.
Negative Number Style: Display negative values in three standard formats: with a minus sign, with a red minus sign, or in red parentheses.
Full Color Customization: You can change the colors of the title, headers, individual data columns, text, and borders to perfectly match your chart's theme.
How to Use & Interpretation
Analyze Growth Trends: Use the table to look for consistent growth in Total Revenue and Net Income, both quarter-over-quarter and year-over-year. A healthy company should show steady, reliable growth.
Spot Anomalies: The table makes it easy to see if a specific quarter had unusually high or low performance, which may warrant further investigation into the company's reports for that period.
Compare Metrics: Switch between "Total Revenue" and "Net Income" to see how well revenue growth translates into actual profit. Growing revenue with declining income could be a red flag regarding cost control or shrinking margins.
Preliminary Valuation: Switch to "EPS" to track profitability on a per-share basis. This is a key factor for assessing the P/E ratio trend and understanding if the company is creating more value for its shareholders over time.
Limitations
Stocks Only: This indicator uses request.financial, which is only available for stocks. It will not work on Forex, Crypto, or Futures.
Data Depth: TradingView typically provides about 8-10 years of historical financial data. Even if you set the lookback to 20, the indicator will only display the maximum amount of data available for that specific stock.
Front Contract Roll Detector (TV-mapped 1!)This script looks at the security.instrument and finds the current best matching price for the current instrument on a front loaded contract.
This is very useful for detecting when TradingView rolls over contracts and an alert can be put in place for this.
bawang — 主图bawang — Intelligent Trading Reference System (Main Chart Edition) does not provide any financial services. This script is intended solely as a tool to help users better understand charts and indicators.
bawang — Intelligent Trading Reference System (Main Chart Edition) and its development team members are not registered investment advisors and are not qualified to provide financial advice. All content provided by this script and its team members is for educational purposes only.
bawang — Intelligent Trading Reference System (Main Chart Edition) and its development team members accept no responsibility for any losses or damages arising from its use. You are fully responsible for all risks you take. Nothing provided by this script should be regarded as investment advice.
Trading Activity Index (Zeiierman)█ Overview
Trading Activity Index (Zeiierman) is a volume-based market activity meter that transforms dollar-volume into a smooth, normalized “activity index.”
It highlights when market participation is unusually low or high with a dynamic color gradient:
Light Blue → Low Activity (thin participation, low liquidity conditions)
Red/Orange → High Activity (active markets, large trades flowing in)
Additional percentile bands (20/40/60/80%) give context, helping you see whether the current activity level is in the bottom quintile, mid-range, or near historical extremes.
█ How It Works
⚪ Dollar Volume Transformation
Each bar, dollar volume is computed:
float dlrVol = close * volume
float dlrVolAvg = ta.sma(dlrVol, len_form)
Dollar volume = price × volume, smoothed by a configurable SMA window.
The result is log-transformed, compressing large outliers for a more stable signal.
⚪ Rolling Percentiles & Ranking
The log-dollar-volume series is compared to its rolling history (len_hist bars):
float p20 = ta.percentile_linear_interpolation(vscale, len_hist, 20)
float p40 = ta.percentile_linear_interpolation(vscale, len_hist, 40)
float p60 = ta.percentile_linear_interpolation(vscale, len_hist, 60)
float p80 = ta.percentile_linear_interpolation(vscale, len_hist, 80)
A normalized rank (0–1) is produced to color the main Trading Activity line.
█ How to Use
⚪ Detect High-Impact Sessions
Quickly see if today’s session is active or quiet relative to its own history — great for filtering setups that need activity.
⚪ Spot Breakouts & Traps
Combine with price action:
High activity near breakouts = strong follow-through likely.
Low activity breakouts = vulnerable to fake-outs.
⚪ Market Regime Context
Percentile bands help you assess whether participation is building up, in the middle of the range, or drying out — valuable for timing mean-reversion trades.
Above 80th percentile (red/orange) → Market is highly active, breakout trades and trend strategies are favored.
Below 20th percentile (light blue) → Market is quiet; fade moves or wait for expansion.
Watch transitions from blue → orange as a signal of growing institutional participation.
█ Settings
Formation Window (bars) – Number of bars used to average dollar volume before log transform.
History Window (bars) – Lookback period for percentile calculations and rank normalization.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
AlphaTrend - Medium Term Trend Probability indicator on TOTALESAlphaTrend – Medium Term Trend Probability Indicator
The MTPI aggregates signals from seven powerful technical indicators to give a high-probability view of market trends. By analyzing multiple trend, momentum, and oscillator indicators simultaneously, MTPI provides a single, unified signal for trading decisions.
Key features:
Aggregated Trend Score: Combines seven indicators to determine bullish or bearish bias. A majority of long signals triggers a bullish view, while a majority of short signals triggers a bearish view.
Dynamic Bar Coloring: Bars are visually colored based on aggregated signals: greenish-blue for bullish, purple for bearish.
Indicator Table: Clear snapshot of which indicators are signaling long, short, or neutral on the current bar.
Customizable Inputs: Adjustable parameters for all underlying indicators, allowing fine-tuning for any trading style.
MTPI is ideal for traders who want to combine multiple technical insights into a single, actionable view without cluttering the chart.
RSI (8 & 13) + Fibonacci LevelsIndicator Description: RSI (8 & 13) + Fibonacci Levels
This custom indicator is designed to provide a dual-speed RSI framework with embedded Fibonacci retracement levels for advanced momentum and reversal analysis. It combines the power of relative strength measurement with the natural harmony of Fibonacci ratios to give traders a structured approach to market timing and confluence trading.
The indicator plots two RSI lines on a dedicated sub-chart:
RSI Fast (8) → short-term momentum, highly sensitive to price action, helps identify quick shifts and micro-trends.
RSI Slow (13) → smoother and less volatile, acts as confirmation of broader trend direction and underlying strength.
By combining both RSI speeds, traders can spot alignment, divergences, and crossover signals between fast and slow momentum. When both lines move in sync, it reflects strong conviction; when they diverge, it signals potential exhaustion or trend shifts.
Overlaying Fibonacci retracement levels on RSI adds an extra dimension of precision. Instead of using arbitrary zones, the indicator relies on mathematically significant levels tied to natural market cycles:
23.6% → shallow pullbacks, early momentum pauses.
38.2% → minor retracements, often signaling trend continuation.
50% → balance point between strength and weakness.
61.8% → golden ratio, strong correction or reversal zone.
78.6% → deep retracement, last line before full reversal.
In addition, the script marks the classic RSI boundaries:
70 (Overbought) → potential profit-taking, stretched bullish conditions.
30 (Oversold) → potential accumulation, stretched bearish conditions.
Together, these zones help traders gauge not only when the RSI is “too high” or “too low,” but also where price momentum aligns with natural Fibonacci retracement zones. This approach transforms RSI from a simple oscillator into a multi-layered momentum map.
Practical Uses:
Trend Confirmation → When RSI(8) and RSI(13) are both above 50 and rising, bullish strength is confirmed.
Divergence Detection → If price makes higher highs but RSI(8) fails to confirm, it warns of weakening momentum.
Reversal Hunting → Look for RSI rejection candles at Fib levels (e.g., fast RSI hitting 61.8 and rolling over).
Entry/Exit Timing → Use fast RSI crossovers with slow RSI as tactical entries within the broader structure.
Confluence Trading → Strong signals occur when RSI rejection coincides with price structure (double tops/bottoms, Fibonacci levels on chart, Bollinger Band rejections).
This indicator is especially powerful when paired with Bollinger Bands or price action rejection patterns, creating a system where price extremes are validated against RSI Fib zones.
Ultimately, the RSI (8 & 13) + Fibonacci Levels indicator acts as a precision filter — helping traders separate noise from genuine turning points and reinforcing entries/exits with multiple layers of confluence.
AlphaZ-Score - Bitcoin Market Cycle IndicatorOverview
AlphaZ-Score is a comprehensive Bitcoin market cycle indicator that combines multiple on-chain, technical, and fundamental metrics into a single normalized oscillator. By aggregating Z-scores from various proven Bitcoin indicators, it provides clear overbought and oversold signals that align with Bitcoin's cyclical nature.
Key Features:
Multi-dimensional market analysis combining 7 different methodologies
Normalized Z-score output ranging from extreme oversold (-3+) to extreme overbought (+3+)
Modular design - enable/disable individual components
Real-time market condition assessment with visual feedback
Optimized for Bitcoin's unique market dynamics
How It Works
AlphaZ-Score calculates individual Z-scores for each enabled indicator, then combines them using a weighted average approach. A Z-score measures how many standard deviations a value is from its historical mean, making it perfect for identifying extreme market conditions.
Interpretation:
+3 or higher: Extreme Overbought (Strong Sell Signal)
+2 to +3: Overbought (Sell Signal)
-2 to +2: Neutral Zone
-2 to -3: Oversold (Buy Signal)
-3 or lower: Extreme Oversold (Strong Buy Signal)
Component Indicators
1. Days Higher Streak Valuation (DHSV)
Purpose: Measures how many days in historical data had higher prices than current price, accounting for price streaks and momentum decay.
How it works:
Counts historical days with prices above current level
Tracks consecutive "streak" days when no historical prices are higher
Applies dynamic threshold decay to account for sustained moves
Higher streak values indicate potential oversold conditions
Key Parameters:
Historical Bars (1000): Number of past bars to analyze for comparison
Lower Streak Threshold (5%): Percentage threshold for price comparison
Threshold Decay (0.05): Rate at which threshold decays over time
Z-Score Lookback (1000): Period for calculating the Z-score normalization
2. High Probability Overbought/Oversold (HPOB)
Purpose: Advanced momentum indicator using volume-weighted Hull moving averages to identify high-probability reversal zones.
How it works:
Calculates Volume-Weighted Hull Moving Average (SVWHMA)
Compares with standard Hull Moving Average
Normalizes the difference using 100-period SMA
Extreme readings indicate momentum exhaustion
Key Parameters:
SVWHMA Length (50): Period for volume-weighted Hull MA calculation
HMA Length (50): Period for standard Hull MA
Smooth Length (50): EMA smoothing period for final output
3. Stablecoin Supply Ratio Oscillator (SSRO)
Purpose: Analyzes the relationship between Bitcoin's market cap and major stablecoin supply (USDT + USDC) to gauge buying power available.
How it works:
Calculates ratio: BTC Market Cap / (USDT Supply + USDC Supply)
Higher ratios indicate Bitcoin is expensive relative to available stablecoin liquidity
Z-score normalization identifies extreme ratios historically
Key Parameters:
SSRO Length (200): Lookback period for Z-score calculation
Market Logic: When stablecoin supply is high relative to BTC market cap, it suggests significant buying power exists (bearish for current price). When ratio is high, it suggests Bitcoin is overvalued relative to available liquidity.
4. MVRV Z-Score
Purpose: Classic Bitcoin cycle indicator comparing Market Value to Realized Value, identifying macro cycle tops and bottoms.
How it works:
Uses MVRV ratio data (Market Cap / Realized Cap)
Realized Cap values coins at the price they last moved, not current price
High MVRV indicates coins are trading well above their "fair value"
Z-score normalization identifies historical extremes
Key Parameters:
MVRV Length (520): Period for Z-score calculation (~2 years of daily data)
Market Logic: MVRV > 3.7 historically marks cycle tops, while MVRV < 1.0 marks cycle bottoms. The Z-score version normalizes these levels across different market cycles.
5. Risk Index Z-Score
Purpose: Proprietary risk calculation based on the relationship between realized cap and market cap over time.
How it works:
Calculates delta between current realized cap and historical realized cap
Normalizes by current market cap to create risk percentage
Applies time-based scaling and Z-score normalization
Key Parameters:
Risk Multiplier (0.625): Scaling factor for realized cap comparison
Risk Z Length (1500): Period for Z-score calculation
6. SOPR Z-Score (Spent Output Profit Ratio)
Purpose: Measures the profit ratio of coins being moved on-chain, indicating holder behavior and market sentiment.
How it works:
Uses Glassnode SOPR data (ratio of sold price to purchase price)
Applies EMA smoothing to reduce noise
Z-score normalization identifies extreme profit-taking or capitulation
Key Parameters:
SOPR EMA Length (7): Smoothing period for SOPR data
SOPR Z Length (180): Period for Z-score calculation
Market Logic: SOPR > 1 means coins are being sold at profit, SOPR < 1 indicates selling at a loss. Extreme Z-scores identify unsustainable profit-taking (tops) or capitulation (bottoms).
7. On-chain Z-Score Composite
Purpose: Multi-metric on-chain analysis combining NUPL, SOPR, and MVRV for comprehensive network state assessment.
Components:
NUPL (Net Unrealized Profit/Loss): (Market Cap - Realized Cap) / Market Cap
SOPR Z-Score: Standardized SOPR with custom smoothing
MVRV Z-Score: Market-to-realized value ratio normalized
Key Parameters:
NUPL Z Length (126): Period for NUPL Z-score calculation
SOPR Z Length (111): Period for on-chain SOPR Z-score
MVRV Z Length (111): Period for on-chain MVRV Z-score
SOPR EMA Length (14): Smoothing for SOPR Z-score component
How it works:
Averages the three Z-scores to provide a comprehensive on-chain market state assessment.
Input Parameters Guide
General Settings
Use : Toggle switches for each component indicator. Disabling indicators removes them from the aggregated calculation, potentially creating more extreme readings.
Optimization Tips
For more extreme signals: Disable complex indicators (DHSV, HPOB, Risk Index, On-chain) and focus on core cycle indicators (MVRV, SOPR, SSRO)
For more sensitivity: Reduce lookback periods on Z-score calculations
For smoother signals: Increase smoothing periods and Z-score lookback periods
For different timeframes: Adjust the lengths proportionally (e.g., halve all periods for 12H charts)
Default Configuration
The default settings are optimized for Bitcoin daily charts and focus on the three most reliable cycle indicators:
Enabled: SSRO, MVRV, SOPR
Disabled: DHSV, HPOB, Risk Index, On-chain (to achieve more extreme readings)
Visual Elements
Plot Colors
Bright Red: Extreme Overbought (Z-score ≥ 3)
Light Red: Overbought (Z-score ≥ 2)
Gradient: Neutral zone (-2 to +2)
Light Green: Oversold (Z-score ≤ -2)
Bright Green: Extreme Oversold (Z-score ≤ -3)
Reference Lines
Solid White: Zero line
Dashed Lines: ±2 levels (primary overbought/oversold)
Dotted Lines: ±3 levels (extreme conditions)
Background & Bar Coloring
Background highlighting during extreme conditions
Bar coloring changes when overbought/oversold thresholds are reached
Summary Table
Real-time market condition assessment displayed in the top-right corner showing current state and exact Z-score value.
Usage Strategy
For Long-term Investors
Buy: Z-score < -2 (especially < -3)
Sell: Z-score > +2 (especially > +3)
Hold: -2 to +2 range
For Traders
Reversal Signals: Look for divergences at extreme levels
Trend Confirmation: Use with price action and volume analysis
Risk Management: Reduce position sizes at extreme overbought levels
Best Practices
Combine with Price Action: Don't use in isolation
Consider Multiple Timeframes: Check higher timeframes for context
Wait for Confirmation: Extreme readings can persist during strong trends
Backtest Settings: Optimize parameters for your specific trading style
Technical Notes
Data Sources: Combines TradingView native data with external feeds from Glassnode, CoinMetrics, and IntoTheBlock
Update Frequency: Real-time on supported exchanges, daily updates for on-chain components
Computational Intensity: Moderate - uses multiple external data requests
Best Timeframe: Optimized for daily charts, but adaptable to other timeframes
The Aggregated Z-Score Market Oscillator represents a sophisticated approach to Bitcoin market analysis, combining the wisdom of multiple proven methodologies into a single, actionable signal. By understanding each component and how they interact, traders and investors can make more informed decisions about Bitcoin's cyclical nature.
Bollinger Bands (SMA 21, 2.618σ)Indicator Description: Bollinger Bands (2.618σ, 21 SMA) + RSI with Fibonacci
This custom indicator combines Bollinger Bands and Relative Strength Index (RSI), enhanced with Fibonacci-based configurations, to provide confluence signals for rejection candles, reversal setups, and continuation patterns.
Bollinger Bands Settings (Customized)
Middle Band → 21-period Simple Moving Average (SMA)
Upper Band → SMA + 2.618 standard deviations
Lower Band → SMA − 2.618 standard deviations
These parameters expand the bands compared to the traditional (20, 2.0) settings, making them better suited for volatility extremes and higher timeframe swing analysis.
Color Scheme
Middle Band = Orange
Upper Band = Red
Lower Band = Green
This color-coding emphasizes key rejection levels visually.
Candle Rejection Logic
The indicator is designed to highlight potential rejection candles when price interacts with the outer Bollinger Bands:
At the Upper Band, rejection signals suggest overextension and potential downside reaction.
At the Lower Band, rejection signals suggest oversold conditions and potential upside reaction.
Rejection Candle Types Tracked
Hammer (bullish reversal, lower rejection wick at bottom band)
Inverted Hammer (bearish reversal, upper rejection wick at top band)
Doji candles (indecision at band extremes)
Double Top formations near the upper band
Double Bottom formations near the lower band
Relative Strength Index (RSI) Settings
RSI is configured with Fibonacci retracement levels instead of traditional 30/70 thresholds.
Fibonacci sequence levels used include:
23.6% (0.236)
38.2% (0.382)
50% (0.5)
61.8% (0.618)
78.6% (0.786)
This alignment with Fibonacci ratios provides deeper market structure insights into momentum strength and exhaustion points.
Trading Confluence Zones
Upper Band + RSI at 0.618–0.786 zone → High probability bearish rejection.
Lower Band + RSI at 0.236–0.382 zone → High probability bullish reversal.
Band interaction + Doji or Hammer candles → Stronger signal confirmation.
Use Cases
Identifying trend exhaustion when price repeatedly fails to break above the upper band.
Spotting accumulation or distribution phases when price consolidates around Fibonacci-based RSI zones.
Detecting false breakouts when candle patterns (like Doji or Inverted Hammer) occur beyond the bands.
Why 2.618 Deviation & 21 SMA?
Standard Bollinger Bands (20, 2.0) capture ~95% of price action.
By widening to 2.618σ, we target extreme volatility outliers — areas where reversals are statistically more likely.
A 21-period SMA aligns better with common cycle lengths (3 trading weeks on daily charts) and Fibonacci-related time cycles.
Practical Strategy
Step 1: Watch when price touches or pierces the upper/lower band.
Step 2: Check for candle rejection patterns (Hammer, Inverted Hammer, Doji, Double Top/Bottom).
Step 3: Confirm with RSI Fibonacci levels for confluence.
Step 4: Trade with the prevailing trend or look for reversal setups if multiple confluence factors align.
Cautions
Not all touches of the bands signal reversals — strong trends can ride along the bands for extended periods.
Always combine with price action structure, volume, and higher timeframe trend bias.
📌 Summary
This indicator blends volatility-based bands with Fibonacci momentum analysis and classical candle rejection patterns. The combination of Bollinger Bands (21, 2.618σ) and RSI Fibonacci levels helps traders detect high-probability rejection zones, reversal opportunities, and overextended conditions with improved accuracy over traditional default settings.
AlphaBTC - Long Term Trend Probability Indicator On Bitcoin📌 AlphaBTC – Long Term Trend Probability Indicator
The AlphaBTC LTPI is a quantitative model that measures the long-term trend probability of Bitcoin by aggregating signals from 9 advanced statistical and trend-following techniques.
Instead of relying on a single indicator, AlphaBTC blends tools like Gaussian smoothing, EMA Z-Score, KAMA oscillator, adaptive moving averages, supertrend percentiles, and volatility-adjusted filters into one combined score.
✅ What it shows:
A single trend probability score that flips LONG or SHORT
Built-in signal strength classification (Weak / Moderate / Strong)
A table breakdown of all 9 underlying models with individual scores
Color-coded bars for instant trend recognition
📊 Use cases:
Identify long-term BTC trend direction with higher statistical confidence
Filter out noise and short-term volatility
Improve swing-trading and position-trading decisions
Generate backtestable, systematic signals (alerts included)
⚡ Why it’s different:
AlphaBTC removes guesswork by combining multiple independent models into one clear framework — giving you a probability-driven trend view of Bitcoin.
AlphaRank - Relative Strength Portfolio StrategyALPHARANK | Relative Strength Portfolio Strategy
RSPS gives you a systematic, rules-based way to always be in the strongest assets while avoiding the weakest.
What it does
RSPS is a multi-asset ranking engine that compares up to 10 assets against each other using pairwise ratios.
Each asset earns a Final Score based on how it performs relative to the rest.
The strategy automatically selects the top 2 winners.
Winners are equal-weighted into a portfolio and compounded over time.
Metrics integration (equity curve, Sharpe, win rate, drawdown, profit factors, and more).
This is designed for traders who want to go beyond single-chart indicators and run a systematic rotation model that stays in the strongest markets.
Key Features
✅ Rank up to 10 custom assets.
✅ Equal-weight allocation + compounding equity curve.
✅ Date range filter for clean backtesting.
✅ Built-in Metrics table & performance curves.
✅ Non-repainting
Example Use
Crypto: Rank BTC, ETH, SOL, XRP, BNB, SUI, HYPE, TRX, LINK, DOGE and rotate into the 2 strongest.
How to Use
Add ALPHARANK to your chart (Invite-Only access).
Enter up to 10 tickers you want to compare.
Decide how many winners to hold.
Run a backtest, review Metrics, and adjust your rotation logic.
Notes & Disclaimer
RSPS is a tool, not financial advice.
Always test different timeframes and assets before trading live.
Performance depends on the assets you input and your timeframe.
