Opening Range with Timezone & Points Opening range indicator on 1min , which can use for breakout strategy
Bantlar ve Kanallar
Multi ATR Volatility Bands CockpitMulti ATR Volatility Bands Cockpit
Multi ATR Volatility Bands Cockpit is a read-only volatility context indicator designed to describe how volatile the market is and where price currently sits within that volatility, using an EMA anchor and multiple ATR-based envelopes.
This tool does not generate trade signals or place orders. It is intended to support situational awareness and contextual analysis across symbols and timeframes.
What this indicator shows
Volatility Regime
Classifies current volatility using ATR as a percentage of price (e.g., Quiet, Normal, Volatile, Extreme).
Envelope Structure
Uses multiple ATR envelopes around an EMA to visualize typical, elevated, and extreme volatility ranges.
Price Location
Describes where price is relative to the envelopes (inside, outside, or beyond typical ranges).
Plain-Language Context
A concise, non-actionable explanation of the current volatility environment.
What makes this indicator unique
Unlike traditional band indicators that require interpretation from the chart alone, this script includes a Volatility “Cockpit” panel that summarizes volatility conditions in a clear, structured, and descriptive format.
The cockpit:
Translates raw volatility metrics into labeled regimes
Separates context from decision-making
Is designed to reduce interpretation ambiguity rather than generate signals
This makes the indicator suitable as a context layer alongside other analysis tools, rather than a standalone decision engine.
Display modes
Cockpit (Minimal)
Clean overlay with the EMA, outer envelope, and informational panel.
Bands (Detail)
Full ATR band stack with optional fills for deeper inspection of volatility structure.
Important notes
Indicator only — no trade execution, no buy/sell signals, no alerts
All calculations are based on confirmed historical bar data
No lookahead logic is used
Results vary by symbol, timeframe, and parameter selection
Intended use
This indicator is designed for traders and analysts who want to understand volatility conditions before making decisions elsewhere, not for generating entries or exits on its own.
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation.
The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals.
Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes.
🔑 Core Logic
BUY
Supertrend turns bullish
RSI is above the defined trend level
Volume is significantly higher than average
SELL
Supertrend turns bearish
RSI is below the defined trend level
Volume confirms strong selling pressure
🎯 Best Use
Works well for intraday and swing trading
Suitable for stocks, indices, crypto, and forex
Designed for trend-following with confirmation
⚠️ Disclaimer
This strategy is for educational purposes only.
Always use proper risk management and stop-loss.
Past performance does not guarantee future results.
TSM RSI + Supertrend + High Volume Combo (TSM 2018)RSI + Supertrend + High Volume Combo
This TradingView indicator combines trend direction, momentum, and participation strength into a single confirmation-based trading system.
TSM RSI < 30 BUY | RSI > 70 SELL (One-Time)This script is a trend-following indicator built using Pine Script v5, designed to identify major market direction changes using Daily Moving Averages (DMA). It is simple, reliable, and ideal for positional, swing, and trend-filter trading.
External Market Structure from BBCits a external market structure from bbc for highs and lows for trend analysis
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points.
Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short).
ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands).
MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below).
How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish).
Sell (Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone
Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Econometrics Non Linear Strategy (RSI condition)
This strategy trades StochRSI extremes (OS/OB) but only enters when a Stata-trained logistic model assigns a high probability to the expected direction, then exits via time, probability decay, and/or mean-reversion back to the midline.
I know that many of you simply do not like math, so I will explain this scrip in two ways, the easy way and the mathematical way.
The easy way:
Think of the market like a **rubber band**:
* Sometimes price gets stretched too far down → it often snaps back up.
* Sometimes price gets stretched *too far up → it often snaps back down.
This script is built to:
1. Spot when the rubber band is stretched
2. Decide if it’s a good stretch to trade
3. Enter the trade
4. Exit when the snap-back is likely done
1) It looks for “extreme” moments (Stoch RSI)
The script uses a tool called the Stochastic RSI to tell if price is:
* Oversold = price got pushed down too hard (stretched down)
* Overbought = price got pushed up too hard (stretched up)
So, the script basically waits for:
* Oversold → “maybe buy”
* Overbought → “maybe sell”
2) It doesn’t trade every extreme (because many extremes fail)
This is the important part:
Even if something looks oversold/overbought, it doesn’t always bounce immediately.
So the script adds a smart filter:
* It gives each situation a score from 0% to 100%
* That score means: “How likely is it that this trade is worth taking?”
If the score isn’t high enough → the script does nothing.
3) It only enters trades when the score is high enough
You choose a number like 0.78 (78%).
* If the script thinks the chance is 78% or more, it enters.
* If it’s lower, it ignores it.
So it’s like:
> “I will only trade when my filter is confident.”
As you see in the image above, the market entered a volatile, sideways state. The model was able to accurately define the extreme lows, enter trades, and then exit with profitability.
4) Optional extra filter: RSI (on/off)
You can turn on an extra rule:
* RSI above 50 might support buying
* RSI below 50 might support selling
(or reversed if you flip it)
This is just a “more strict” option.
How it exits (how it decides when to leave)
The script can exit in 3 simple ways:
A) Time exit
> “If nothing happens after X bars, I’m leaving.”
B) Probability exit
> “If my score drops and the setup no longer looks good, I’m leaving.”
C) Midline exit (mean reversion exit)
> “Once Stoch RSI returns to normal (around the middle), I assume the bounce is done, so I take profit or exit.”
What the controls mean:
* Use Stoch zone gate: only trade when oversold/overbought
* Use probability gate: only trade when the setup score is high enough
* Use RSI gate: add an extra filter (optional)
* Reverse logic: flip the meaning (useful for testing)
* Trade mode + enable longs/shorts: choose long-only, short-only, or both (and it will enforce it)
NOTE!! This script is not FINANCIAL ADVICE. There is no script in the world that is guaranteed to make you money. This strategy is there to help you further confirm any entry based on your own strategy and belief
Here are some downsides to this strategy:
The market is sideways trading and has low volume. With slippage/commission, this strategy fails.
The blue circle is a missed chance at capturing the entire big move. You can then see the red circle contain two losing trades where it completely miss read the market.
When to use this strategy:
When looking at the XAUUSD for example, in an uncertain world, XAUUSD tends to be bullish. It works well when there is a clear trend in any forex pair or commodity.
I recommend you experiment with the settings and maybe build yourself your own winning strategy!
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator
This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards:
1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution.
2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility.
3. Advanced Practical Filters
Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility.
Confidence Threshold: Only triggers signals when the AI performance score meets the required quality.
Cooldown Logic: Prevents rapid signal flipping in choppy markets.
🧠 開發理念:將 AI 自適應力帶入台指期實戰 針對台指期(TX)高波動特性開發,透過機器學習演算法動態尋優,解決傳統指標參數固定的滯後性。
✨ Echo 版核心優化點
數據連續性迭代:底層邏輯優化,確保訊號在即時盤勢中穩定不跳斷,回測與實戰高度吻合。
自適應動態尋優:透過 K-means 聚類自動鎖定當前最佳 ATR 因子。
實戰多重濾網:包含空間緩衝區 (Buffer) 與信心門檻,大幅提升訊號品質。
📊 視覺說明
🚀 Rocket: AI confirms trend momentum.
⚡ Lightning: Trend exhaustion or reversal warning.
⚠️ Disclaimer: For educational and technical analysis purposes only.
MONSTER KHAN GOLED KILLERTHIS INDICATORE work base on many strategies and work in gold btc and us oil but best for gold and btc use m5 to m15 time frame
Weekly Bias - High/Low/Close (Clean No Connections)Gives you the weekly bias candle on your 4 hour closing NY trading hours
TSM RSI + Supertrend Combo 202616This script is a trend-confirmation trading indicator built with Pine Script v5, combining the power of Supertrend (trend direction) and RSI (momentum strength) to generate high-probability BUY and SELL signals.
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STRs & TRNDs Combinedwe need to publish this second indicator , let see how can we publish this.
We are here to publish this script.
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Phantom Support & Resistance Auto [PT-IND-SR.001]Overview
Phantom Support & Resistance Auto is a context-focused support and resistance indicator designed to visualize price interaction zones derived from multiple market behaviors.
The script does not generate buy or sell signals.
Instead, it provides a structured map of potential reaction areas, allowing traders to better understand where price has historically reacted, consolidated, or extended liquidity.
This indicator is intended to be used as a decision-support and contextual analysis tool, not as a standalone trading system.
How the Script Works
The indicator combines several independent but complementary methods of identifying support and resistance.
Each method captures a different type of market behavior, and all components can be enabled or disabled independently.
1) High / Low Zones (Range Extremes)
This module tracks the highest high and lowest low over a configurable lookback period.
These levels represent recent range boundaries, which often act as reaction zones during consolidation or pullbacks.
They are visualized as extended horizontal levels to preserve historical context.
2) Pivot Zones (Filtered & Merged Levels)
Pivot zones are derived from confirmed pivot highs and lows.
To avoid excessive and overlapping levels, the script applies a merge tolerance based on either:
ATR distance, or Percentage distance from price
Nearby pivot levels are merged into a single zone, and each zone tracks how many times price has interacted with it.
This interaction count adjusts visual strength, creating a relative importance hierarchy rather than treating all levels equally.
An optional higher-timeframe source can be used to project structurally significant levels onto lower timeframes.
3) Wick Liquidity Zones
This module detects candles with disproportionately large wicks relative to their bodies.
Such candles often indicate liquidity grabs, stop runs, or rejection areas.
Detected wick levels are extended forward to highlight areas where liquidity was previously absorbed.
This component focuses on price rejection behavior, not trend direction.
4) PR Levels (Volatility-Adjusted Predicted Ranges)
PR levels are derived from a volatility-adjusted average price model.
Using ATR as a normalization factor, the script calculates a central average along with upper and lower projected zones.
These levels are adaptive, expanding and contracting with volatility, and are intended to represent probabilistic price ranges, not fixed targets.
5) MACD-Based Support & Resistance (Heikin Ashi Source)
This module derives dynamic support and resistance levels based on MACD momentum shifts, calculated from Heikin Ashi price data to reduce noise.
When MACD momentum transitions occur, recent highs and lows are captured and projected as potential reaction zones.
This component focuses on momentum-driven structural changes, rather than static price levels.
Why These Components Are Combined
Each component captures a different dimension of market behavior:
High / Low zones → Range extremes
Pivot zones → Structural reaction points
Wick zones → Liquidity and rejection behavior
PR levels → Volatility-normalized price ranges
MACD S&R → Momentum-based structural shifts
By combining these sources, the indicator provides a layered view of support and resistance, allowing traders to evaluate confluence, alignment, or divergence between different types of levels instead of relying on a single method.
The script does not assume all levels are equal; visual weighting helps distinguish structural levels from situational ones.
Visualization & Outputs
Color-coded horizontal zones with strength-based opacity
Optional glow effects for visual clarity
Independent toggles for each S&R source
A table showing percentage distances between projected PR levels, helping users contextualize price location within its current range
All visual components are configurable and can be selectively disabled to reduce chart clutter.
How to Use
Use this indicator as a context and mapping tool
Observe areas where multiple zone types align for higher contextual significance
Combine with your own entry logic, confirmations, and trade management rules
Suitable for multi-timeframe analysis and market structure studies
Risk Management Notice
This indicator should always be used as part of a well-defined risk management plan.
Support and resistance zones represent areas of potential interaction, not guaranteed reactions.
Users are responsible for applying appropriate:
Position sizing
Stop placement
Risk-to-reward rules
The indicator does not manage risk automatically and should not replace proper risk management practices.
What This Script Is NOT
It is not a buy/sell signal generator
It does not predict future price direction
It does not guarantee reactions at every level
It should not be used as a standalone trading strategy
Originality & Purpose
The originality of this script lies in its structured integration of multiple support and resistance methodologies, each preserved as a distinct analytical layer rather than blended into a single opaque output.
The purpose is to help traders understand where price has interacted with liquidity, structure, and volatility, not to automate trade decisions.
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation.
The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals.
Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes.
Core Logic
BUY
Supertrend turns bullish
RSI is above the defined trend level
Volume is significantly higher than average
SELL
Supertrend turns bearish
RSI is below the defined trend level
Volume confirms strong selling pressure
🎯 Best Use
Works well for intraday and swing trading
Suitable for stocks, indices, crypto, and forex
Designed for trend-following with confirmation
⚠️ Disclaimer
This strategy is for educational purposes only.
Always use proper risk management and stop-loss.
Past performance does not guarantee future results.
DMA 50 & 200 Cross Signals TSM 202603This script is a trend-following indicator built using Pine Script v5, designed to identify major market direction changes using Daily Moving Averages (DMA). It is simple, reliable, and ideal for positional, swing, and trend-filter trading.
Multi-Timeframe EMA50 Structure + ATR Sniper SystemThis indicator is a comprehensive Trend-Following and Risk Management system designed for swing traders who focus on high-probability structural entries.
It combines three core concepts into one visual tool:
Multi-Timeframe Structure: Tracks the EMA50 across key swing timeframes (2D, 3D, 1W, 2W, 1M).
Momentum Health: Detects MACD Divergences on these timeframes to warn of potential reversals.
ATR Sniper Zone (Risk Control): Visually defines the "Buy Zone" and "Hard Stop Level" based on volatility (Daily ATR), preventing FOMO and ensuring consistent Risk/Reward ratios.
RSI Buy Sell Signals (Fixed) TSMRSI Buy–Sell Signals Indicator is a simple and effective momentum-based tool designed for scalping and intraday trading. It uses the Relative Strength Index (RSI) to identify high-probability BUY and SELL opportunities directly on the price chart.
🔹 How It Works
BUY Signal
Triggers when RSI crosses above 30 (oversold recovery) or above 50 (bullish momentum).
SELL Signal
Triggers when RSI crosses below 70 (overbought reversal) or below 50 (bearish momentum).
Signals are non-repainting and appear at candle close.
OB BB Script AkashDescription is giving here to describe it better. here is the the description of the indicator .
we will define this indicator for this .
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW
Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed.
THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION
The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center.
THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION
Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029.
HOW TO READ THE CHART
• The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion.
• The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature.
• The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029.
WHY THIS IS "FRESH"
Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant.
This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption.
DISCLAIMER
This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action.
TAGS
bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths






















