VSA No Demand / No Supply + Daily VWAPthis indicator is working on the base of no demand and no supply sign of vsa
#nodemad #nosupply #buy #sell #vsa
Göstergeler ve stratejiler
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.
ScalpboardProThis comprehensive TradingView indicator, "Multi-ATR Levels & ScalpBoard + HMA," is designed to provide a multi-faceted view of the market on a single chart. It combines trend analysis, dynamic support and resistance levels, and a multi-timeframe dashboard to aid traders in making informed decisions.
Key Features:
Hull Moving Average (HMA):
Plots a 50-period HMA directly on the chart. The HMA is known for its smoothness and reduced lag, offering a clear visual of the current trend direction.
Dual ATR Levels:
Static Levels:
Calculates and displays fixed ATR levels based on the 5-minute timeframe with multipliers of 2.0, 3.0, and 5.0. These serve as quick, intraday support and resistance zones.
Configurable Fibonacci Levels:
A second set of ATR levels using Fibonacci-based multipliers (0.236, 0.382, 0.618, 1.0). The key feature is the ability to select a higher timeframe (e.g., Daily, 4H) for this calculation, making these levels significant for swing trading and identifying major price zones. Only the timeframe is configurable for this feature.
ScalpBoard Dashboard:
An information panel that shows the status of three key indicators (MACD, RSI, HMA) across three different timeframes (5m, 15m, 60m). This allows for a quick assessment of multi-timeframe alignment, which is crucial for confirming trade entries. The dashboard shows:
MACD:
Direction (Up/Down)
RSI:
Value, with special icons (🔥/🧊) for overbought/oversold conditions.
HMA:
Price position relative to the HMA (Long/Short).
How to Use:
Use the HMA to gauge the primary trend. The two sets of ATR levels can be used as targets for take-profit or as potential entry zones on pullbacks. The ScalpBoard helps confirm that the short-term, medium-term, and long-term trends are aligned, increasing the probability of a successful trade.
WinningStocks2020 Weekly Buy sell levelsThis script is a Low Risk Buy Sell indicator for Nifty & Bank Nifty. Stoploss is FRIDAY low Candle. Enjoy the low risk High Reward Trades.
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.
Scalping MasterMarket Structure Analysis:
Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest).
Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai.
BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai.
Order Blocks (OB):
Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain.
Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai.
Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai.
Fair Value Gaps (FVG):
Price gaps (bullish aur bearish) ko detect aur plot karta hai.
Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai.
FVGs ko extend karne ka option deta hai (visual representation ke liye).
Equal Highs/Lows (EQH/EQL):
Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain.
Bars confirmation aur sensitivity threshold ke saath customizable hai.
Previous Highs/Lows (MTF):
Daily, weekly, aur monthly high/low levels ko plot karta hai.
Line style (solid, dashed, dotted) aur colors customizable hain.
Premium/Discount Zones:
Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain.
Visual Customization:
Color Themes: Colored ya monochrome themes ke options.
Candle Coloring: Trend ke hisaab se candles ko color karta hai.
Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai.
Modes:
Historical Mode: Past data ke saath complete structure dikhata hai.
Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye.
Alerts:
Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option.
Swing Points aur Trailing:
Strong/weak high aur low points ko track karta hai.
Trailing maximum/minimum ko extend karta hai for real-time analysis.
Kya Kya Mila Kar Bana Hai?
Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai:
Pivot Point Analysis:
ta.highest aur ta.lowest functions se swing highs/lows detect karta hai.
Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings).
Price Action Concepts:
Break of Structure (BOS): Jab price pivot high/low ko break karta hai.
Change of Character (CHoCH): Jab trend reverse hota hai.
Confluence filtering ke saath accuracy improve karta hai.
Order Blocks:
Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use.
Bullish aur bearish order blocks ke liye customizable colors.
Fair Value Gaps:
Gaps in price action ko detect karne ke liye OHLC data ka analysis.
Timeframe aur auto-threshold ke saath flexibility.
MTF (Multi-Timeframe) Analysis:
Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations.
Zones Detection:
Premium, equilibrium, aur discount zones ke liye price range calculations.
Visual Tools:
Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new).
Extendable lines aur boxes for better visibility.
User Inputs:
Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain.
Technical Components
PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations.
Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box).
Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting.
Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions.
Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Weekly Session BreakThis indicator plots a vertical line at the end of the trading week (Friday) to mark the weekly session break. It is designed to be used on intraday charts (sub-1 hour timeframes).
The line's appearance is fully customizable via the Inputs tab, allowing you to change its color, style (solid, dotted, or dashed), and thickness.
Key Features:
End-of-Week Marker: Accurately draws a vertical line on the last bar of the trading week.
Timeframe Specific: Lines are only visible on intraday charts (1-minute to 59-minute timeframes) to prevent clutter on higher timeframes.
Customizable: Adjust the line's color, style, and thickness from the Inputs menu.
Sentinel Nexus Dashboard [AGP] Ver.1.5Sentinel Nexus Dashboard is a versatile Pine Script designed as a comprehensive technical analysis tool. It condenses a variety of key indicators and metrics into a single, intuitive visual dashboard, providing an integrated view of market trends, momentum, volatility, and liquidity, all neatly organized on your TradingView chart.
Key Features and Benefits
All-in-One Dashboard: This script centralizes relevant information, offering a clean, efficient control panel that helps you make quick decisions without cluttering your chart with multiple overlays.
Trend Analysis with ADX: It incorporates the Average Directional Index (ADX) to measure trend strength. The dashboard displays ADX, DI+, and DI- values with dynamic color-coding to highlight trend intensity (e.g., blue for a very strong trend).
Momentum Analysis with MACD: The dashboard shows MACD line and signal line values in a table. The background color of the MACD values reflects the histogram's direction, allowing you to quickly identify crosses and shifts in market momentum.
Multi-Timeframe RSI Analysis: The RSI (Relative Strength Index) dashboard displays values across multiple timeframes (from 1 minute to 1 month). Overbought (77) and oversold (23) levels are color-coded for immediate identification of market conditions, making it an ideal tool for multi-timeframe analysis.
Smart and Dynamic Volume: The script uses a bar coloring algorithm based on average volume. Chart bars change color according to volume magnitude (extreme, high, average, or low) relative to the average, distinguishing between bullish and bearish bars. This helps you identify significant, liquidity-driven price movements.
Fair Value Analysis: The script calculates an asset's "fair value" using a noise filter (similar to a Kalman filter) on recent highs and lows to determine a midpoint. The price dashboard's background color changes to indicate if the current price is above or below this fair value.
Fibonacci EMA Analysis: A table displays several Exponential Moving Averages (EMAs) based on the Fibonacci sequence. The values are color-coded to show whether the current price is above (white) or below (orange) each EMA, helping you quickly identify dynamic support and resistance levels.
CME Futures Data Integration: For Bitcoin, the script can show a chart label with the Bitcoin futures price (CME:BTC1!), allowing you to compare the spot price with the CME futures market.
Potential Uses and Applications
The Sentinel Nexus Dashboard is an excellent support tool for trading. It is not a signal system but rather a suite of confirmation tools that can be used to:
Confirm Trend Strength: Before entering a trade, use the ADX data to ensure the trend has enough strength for your expected move.
Detect Reversal Points: Multi-timeframe RSI data can alert you to potential overbought or oversold conditions, indicating possible exhaustion of a price move.
Validate Price Movements: Bar coloring based on volume helps you determine if a price move is genuine and supported by strong market participation. High volume can confirm a breakout or reversal.
Identify Support and Resistance: The Fibonacci EMAs allow you to quickly visualize key levels where price might find support or resistance, aiding in planning entries and exits.
In short, this script is perfect for traders who want a comprehensive market overview without chart clutter. It efficiently integrates trend, momentum, and volume analysis in one place.
Legal Disclaimer
RISK WARNING:
This Pine Script is a technical analysis tool and should not be considered financial advice. Past performance of any indicator is no guarantee of future results. Trading in financial markets involves a high risk of loss and is not suitable for all investors. By using this indicator, you accept full responsibility for your trading decisions and acknowledge that any financial loss is your sole responsibility.
IMPORTANT:
Some script functions, such as the CME price label, may not work correctly if your TradingView subscription plan is not a paid one. Please check your plan's limitations to ensure the indicator's optimal functionality.
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework
Overview
Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time.
Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies.
The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis.
How It Works
Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals.
Harmonic Weighting : Each moving average integrates three layers of harmonics:
Primary harmonic captures the dominant cyclical structure of the market.
Secondary harmonic introduces a complementary frequency for oscillatory nuance.
Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals.
Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages.
Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends:
UpTrend : Fast SMA exceeds slow SMA.
DownTrend : Fast SMA falls below slow SMA.
Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics.
Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages.
Interpretation
Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics:
Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals.
Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points.
Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making.
Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation.
By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators.
Strategy Integration
Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance.
Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example:
A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation.
Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends.
Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision.
Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example:
A flattening fast line group above a rising slow line can hint at short-term overextension.
Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups.
Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example:
A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade.
Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes.
Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management:
Stops may be adjusted according to slow line support/resistance or harmonic contraction zones.
Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules.
Technical Implementation Details
Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine:
Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals.
Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value.
Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude.
Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles.
These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity.
Optimal Application Parameters
Asset-Specific Guidance:
Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8
Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618
Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0
Index Futures : Wave frequency 0.5–1.5, φ = 1.618
Timeframe Optimization:
Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture.
Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation.
Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing.
Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles.
Performance Characteristics
High Effectiveness Conditions:
Clear separation between short-term and long-term trends.
Moderate-to-high volatility environments.
Assets with consistent volume and price rhythm.
Reduced Effectiveness:
Flat or extremely low volatility markets.
Erratic assets with frequent gaps or algorithmic dominance.
Ultra-short timeframes (<1min), where noise dominates.
Integration Guidelines
Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence.
Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones.
Advanced Feature Settings :
Frequency tuning for different volatility environments.
Phase analysis to track divergences across harmonics.
Use fills and amplitude patterns as a guide for dynamic trade management.
Multi-timeframe confirmation to filter noise and align with structural trends.
Disclaimer
Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
vwap inside bar jmrjm vwap inside bar which helps to take guage trend with vwap and and help to understand when market taking pause due to bulls and bears fight. Then we can take a trade in trend with winners.
Cointegration IndicationThis indicator is inspired by Nobel Prize–winning research (Engle & Granger, 1987). The core idea is simple but powerful: even if two markets look noisy on their own, their relationship can be surprisingly stable over the long run. When they drift apart, history suggests they often snap back together and that’s exactly where opportunities arise.
What this tool does is bring that theory into practice. It estimates a long-run equilibrium between two assets (Y ~ α + βX), calculates the residual spread (ε), and then evaluates whether that spread behaves in a mean-reverting way. The Z-Score tells you when the spread has moved far from its historical mean. The Error Correction Model (ECM) adds a second layer: it checks whether the spread tends to close again, and how strong that adjustment pressure is. If λ is negative and stable, the relationship is cointegrated and mean-reverting. If not, the pair is unstable — even if the Z-Score looks attractive.
Signals are summarized clearly:
– Strong Setup appears when we see both extreme divergence and a stable, negative λ.
– Weak Setup means only partial confirmation.
– Invalid means the relationship is breaking down.
Why this matters
Cointegration analysis is widely used by institutional desks, especially in pairs trading, statistical arbitrage, and risk management. Classic cases include equity index futures vs ETFs (Alexander, 2001), oil vs energy stocks (Chen & Huang, 2010), or swap spreads in fixed income (Tsay, 2010). In crypto, temporary cointegration has been observed between BTC and ETH in periods of high liquidity (Corbet et al., 2018). With this indicator, you can explore these relationships directly on TradingView, test asset pairs, and see when divergences become statistically significant.
Limitations to keep in mind
– Timeframe choice matters: Daily calculations are usually more stable; weekly or intraday often show unstable signals. To avoid confusion, you can fix the calculation timeframe in the settings.
– Cointegration is not permanent. Structural breaks (earnings, regulation, macro shifts) can destroy old relationships.
– Results are approximate. Rolling regressions, Z-Scores, and ECM estimates are sensitive to the length of the chosen windows.
– This is a research tool — not a ready-made trading system. It should be used as one piece in a broader framework.
References
Alexander, C. (2001). Market models: A guide to financial data analysis. Wiley.
Chen, S. S., & Huang, C. W. (2010). Long-run equilibrium and short-run dynamics in energy stock prices and oil prices. Energy Economics, 32(1), 19–26.
Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34.
Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Tsay, R. S. (2010). Analysis of financial time series (3rd ed.). Wiley.
Simple Trading SessionsThis indicator highlights the major global trading sessions (Tokyo, London, and New York) directly on your chart with clean background shading.
Tokyo Session (default 00:00–09:00 exchange time)
London Session (default 07:00–16:00 exchange time)
New York Session (default 12:30–21:00 exchange time)
Each session is displayed as a different shaded block, making it easy to:
Spot when the market is most active.
Identify overlapping periods (e.g., London–New York overlap).
Backtest strategies that depend on session timing.
⚙️ How to Use
Add the indicator to any intraday chart.
Adjust session times in the settings panel to match your broker or preferred timezone.
Use the shading to guide your trading around regional liquidity zones.
✅ Notes
By default, session times follow the chart’s exchange timezone.
You can change the inputs to match your own session definitions.
Very lightweight and designed for traders who want a simple, uncluttered session map without extra calculations.
CCI Stochastic - YOSI
CCI Stochastic (Pro v6) – MTF, Adaptive Bands & Live Label
What it does
This indicator applies a Stochastic calculation on the CCI (K/D lines) to highlight momentum shifts, overbought/oversold zones, and adaptive market regimes. It comes with optional higher-timeframe confirmation, adaptive volatility bands, a live value label, and built-in alerts.
Key Features
Core Signal: Choose between D or K line of the Stoch-CCI.
Extreme Zones: Customizable OB/OS thresholds (default 80/20) and a midline (50), with dynamic background shading.
Adaptive Bands (optional): Mean ± k·standard deviation of the signal, to capture cyclic extremes.
MTF Confirmation (optional): Fetches the same signal from a higher timeframe via request.security.
Arrows/Signals:
Enter – Cross above OS (Buy) / below OB (Sell).
Center – Cross of the 50 midline (momentum shift).
Exit – Exit from extreme zones.
Alerts: All arrow signals + adaptive band crosses.
Live Value Label: Shows the latest signal value near the last bar, customizable decimals/offset/background colors.
Visuals: Red line above OB, green below OS, gray neutral; adaptive band fills.
Use Cases
Momentum / Reversals: Enter with OS/OB crosses confirmed by MTF.
Trend validation: Combine with moving averages (e.g., EMA200) or support/resistance.
Mean Reversion: Fade extreme zones, especially with adaptive band or OB/OS exit alerts.
Inputs
CCI Period, Stoch Period, Smooth K/D – core calculation.
Overbought / Oversold – thresholds (default 80/20).
Line to plot – K or D.
Show Arrows (Enter, Center, Exit) – visual control.
Adaptive Bands – length and k multiplier.
Higher TF – optional confirmation timeframe.
Live Label – decimals, offset, colors.
Quick Tips
For scalping/short-term setups: tighten OB/OS (e.g., 85/15) to filter noise.
In high volatility: increase adaptLen or decrease k to smooth bands.
Reduce false signals: require local + MTF alignment (e.g., only long if MTF > 50).
Disclaimer
This is a technical analysis tool – not a standalone buy/sell signal. Always use with proper risk management, key levels, and confluence from multiple factors.
מה זה עושה?
האינדיקטור מחשב Stochastic על CCI (קו K/D) ומציג אזורי קיצון, חציות ומשטרי שוק. הוא כולל אופציה לאישור מטיימפריים גבוה, בנדים אדפטיביים, תווית ערך חיה והתרעות מוכנות.
יכולות עיקריות
סיגנל מרכזי: בחירה בין קו D או K של Stoch-CCI.
אזורי קיצון: קווים ניתנים להגדרה (ברירת מחדל 80/20) וקו אמצע 50, עם צביעת רקע דינמית כשנכנסים לקיצון.
Adaptive Bands (אופציונלי): ממוצע ± k·סטיית תקן של הסיגנל—מסייע לזהות overheat ומחזוריות.
אישור MTF (אופציונלי): אותו סיגנל מטיימפריים גבוה באמצעות request.security.
חיצים/סיגנלים:
Enter – חציה מלמטה מעל OS (קנייה) / מלמעלה מתחת OB (מכירה).
Center – חציה של 50 (שינוי מומנטום).
Exit – יציאה מאזורים קיצוניים (OS/OB).
Alerts: לכל הסיגנלים לעיל + כניסה/יציאה לבנדים האדפטיביים.
תווית ערך חיה: מציגה את ערך הסיגנל האחרון ליד הנקודה (ספרות ו־offset ניתנים להגדרה).
עיצוב קריא: צבע קו אדום מעל OB, ירוק מתחת OS, אפור ניטרלי; מילוי אזורים.
שימוש מומלץ
מומנטום/היפוכים: כניסה עם חציה מה-OS/OB ואישור מה-MTF.
ממוצע נע/רמות מחיר: חברו לאימות מגמה (למשל EMA200 או תמיכה/התנגדות).
Mean Reversion: חיפוש חזרה מאזורי קיצון, במיוחד כשיש התרעת יציאה מ-OB/OS או נגיעה בבנד אדפטיבי.
קלטים מרכזיים
CCI Period, Stoch Period, Smooth K/D – פרמטרי חישוב.
Overbought / Oversold – ספי קיצון (ברירת מחדל 80/20).
Line to plot – בחירה בין K או D.
Show Arrows/Center/Exit/Enter – שליטה בתצוגת החיצים.
Adaptive Bands (len, k) – חלון ורגישות לבנדים.
Higher TF – טיימפריים לאישור (אופציונלי).
Live Label – ספרות, היסט ברים, צבעי רקע.
טיפים מהירים
בסקלפים/טווחים קצרים: הקשיחו ספי קיצון (למשל 85/15) להפחתת רעש.
בשוק תנודתי: העלו את adaptLen או הורידו את k כדי לקבל בנדים רגישים פחות.
להקטנת אותות שווא: דרשו התאמה בין הסיגנל המקומי ל-MTF (לדוגמה, לונג רק כשה-MTF מעל 50).
הערה חשובה
זהו כלי ניתוח טכני—לא אות קנייה/מכירה בפני עצמו. שלבו אותו עם ניהול סיכונים (SL/TP), בדיקת רמות מפתח ואימות ממספר אינדיקטורים או טיימפריימים.
Breakout + VWAP + Bollinger Bands BackgroundIt detects buy and sell bias for the trader to understand buy and sell openning. Try it...
Bearish_Mayank_entry_Indicator with AlertsThis indicator works on EMA , RSI , Weighted Moving Average Confirmation & MultiFrame analysis
