📅 Non-Euclidean Fib Gibbonaci📅 *Non-Euclidean Fib Gibbonaci**
This indicator dynamically identifies high-probability liquidity zones using a combination of **weekly market structure**, **asymmetric Fibonacci geometry**, and **volume clustering**.
### 🔍 **What It Does:**
* **Detects Weekly Structure Shifts:**
Automatically checks each new week for a break in weekly highs or lows. If a structural change is detected, all liquidity levels are recalculated.
* **Builds Non-Euclidean Fibonacci Ranges:**
Instead of traditional swing-based Fibs, this indicator creates a **distorted Fibonacci zone** around the weekly close using the Golden Ratio (φ ≈ 1.618). This generates asymmetric, forward-projected Fib levels.
* **Volume-Based Liquidity Zones:**
For each projected level, volume is accumulated from the past 50 bars when the price closed near that level. These volumes are then **tiered dynamically based on the previous week’s total volume**.
* **5 Dynamic Volume Tiers:**
Liquidity levels are color-coded based on volume interaction:
* 🔴 **Very High**
* 🟠 **High**
* 🟡 **Mid**
* 🔵 **Low**
* ⚪ **Very Low**
(Thresholds are based on **percentage of last week’s volume**, fully adjustable via settings.)
* **Smart Drawing Engine:**
* Only draws when structure changes.
* Includes inverse bands (bottom-up projections), midlines (optional), and clean auto-clearing of old levels.
* Optional labels show Fib level and volume tier.
* **Predictive Liquidity Zones:**
High-volume extension levels (e.g. Fib 1.272 or above) trigger **"🔺 Potential Top"** and **"🔻 Potential Bottom"** labels, helping to forecast potential exhaustion zones.
---
### ⚙️ **Customizable Settings:**
* Enable/disable:
* Inverse Fibonacci bands
* Midlines between bands
* Volume-based labels
* Adjust:
* Volume tier thresholds (% of prior weekly volume)
* Label display filtering (only show top tiers)
---
### ✅ **Best Used For:**
* Traders who want to identify **key liquidity zones** based on structural shifts.
* Spotting **volume-backed Fib confluences** that may act as magnets or reversal zones.
* Forecasting **potential tops/bottoms** using historical price/volume behavior — dynamically, and in context.
---
### 🚫 No Repainting:
Once weekly structure is established, levels do not repaint. Volume clustering is based on actual historic bar closes.
---
Let me know if you want a shorter version or a version with emojis minimized for a more formal audience.
Indicators and strategies
EMAZoner+ 0.5EMAZoner – Your new perspective on trends!
Want to always know where a trend starts and ends? Looking for a simple yet visually powerful tool to help you instantly spot key moments for entries and exits? EMAZoner is here for you!
This indicator is designed for anyone who wants to:
- Instantly see where a trend begins and ends (whether you trade short or long term)
- Have clear BUY/SELL signals and trend peaks marked directly on the chart
- Quickly distinguish strong and weak trends thanks to colored backgrounds and a clear info table
- Track current trends not only on your timeframe, but also on higher ones (M15, M30, H1) – perfect for multi-timeframe analysis
- Keep your chart clean with minimalist labels and dotted lines that guide you straight to the right candle
- Get market and trend strength stats without complicated setup
EMAZoner is suitable for everyone – from beginners to experienced traders. It helps you avoid unnecessary noise, quickly find key zones, and make decisions with more confidence.
Try EMAZoner and take your analysis to the next level!
GK Accounting - Gold Trading Signalhi this is new indicator for trading anytime frame any market its work really good
Aggressive Volume Indications + SupertrendVolume Precision: The aggressive volume logic is well-designed to filter for conviction-backed price movement. Using (high - low) * 0.7 as the body filter adds a nice touch to weed out noise.
Customizability: The script allows for tunable inputs on both the volume and trend side, which gives flexibility across different instruments or timeframes.
Trend Detection Logic: Your use of persistent variables to track supertrend and trendUp adds robustness to the trend-following element.
💡 Suggestions:
Optional Signal Confirmation: You could incorporate a confirmation mechanism—like checking if price closes above or below the Supertrend line before plotting the aggressive volume markers. That might help filter out traps during ranging markets.
Barcolor or Background Highlighting: For visual clarity, adding barcoloring based on aggressive buying/selling might amplify signal visibility.
Entry/Exit Potential: Consider integrating a simple crossover strategy to simulate entries based on these signals—especially since you're already working on a Nifty 50 script with market psychology in mind.
Adaptive Multi-MA OptimizerAdaptive Multi-MA Optimizer
This indicator provides a powerful, customizable solution for traders seeking dynamically optimized moving averages with precision and control. It integrates multiple custom-built moving average types, applies real-time volatility-based optimization, and includes an optional composite smoothing engine.
🧠 Key Features
Dynamic Optimization:
Automatically selects the optimal lookback length based on market volatility stability using a custom standard deviation differential model.
Multiple Custom MA Types:
Includes fully custom implementations of:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted MA)
DEMA (Double EMA)
TEMA (Triple EMA)
Hull MA
ALMA (Arnaud Legoux MA)
Composite MA Option:
A unique "Composite" mode blends all supported MAs into a single average, then applies optional smoothing for enhanced signal clarity.
Dynamic Smoothing:
The composite mode supports volatility-adjusted smoothing (based on optimized lookback), making it adaptable to different market regimes.
Fully Custom Logic:
No built-in MA functions are used — every moving average is hand-coded for transparency and educational value.
⚙️ How It Works
Optimization:
The script evaluates a range of lengths (minLen to maxLen) using the standard deviation of price returns. It selects the length with the most stable recent volatility profile.
Calculation:
The selected MA type is calculated using that optimized length. If "Composite" is chosen, all MA types are averaged and smoothed dynamically.
Visualization:
The adaptive MA is plotted on the chart, changing color based on its position relative to price.
📌 Use Cases
Trend-following strategies that adapt to different market conditions.
Traders wanting a high-fidelity composite of multiple MAs.
Analysts interested in visualizing market smoothness without lag-heavy signals.
Coders looking to learn how to build custom indicators from scratch.
🧪 Inputs
MA Type: Choose from 8 MA types or a blended Composite.
Lookback Range: Control min/max and step size for optimization.
Source: Choose any price series (e.g., close, hl2).
⚠️ Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use of this script is at your own risk. Past performance does not guarantee future results. Always perform your own analysis and consult with a qualified financial advisor before making trading decisions.
🚀PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
MACD-VWAP-BB IndicatorThe Scalping Rainbow MACD-VWAP-BB Indicator is a simple tool for beginners to scalp (make quick trades) on a 1-minute chart in TradingView. It helps you decide when to buy or sell assets like forex (EUR/USD), crypto (BTC/USD), or stocks by showing clear signals directly on the candlestick chart. Here’s how to use it for scalping, explained in the easiest way:
Setup: Open TradingView, choose a 1-minute chart for a liquid asset (e.g., EUR/USD). Copy the indicator code into the Pine Editor (bottom tab), click “Add to Chart.” You’ll see green triangle-up signals below candles for buying and red triangle-down signals above candles for selling.
Buy Signal (Green Triangle Up): When a green triangle appears below a candle, it means the MACD, VWAP, and Bollinger Bands all suggest the price may rise. Action: Buy immediately, aiming for a small profit (5-10 pips in forex, 0.1-0.5% in crypto/stocks). Set a stop-loss 2-5 pips below the recent low to limit losses.
Sell Signal (Red Triangle Down): A red triangle above a candle signals a potential price drop. Action: Sell or short the asset, targeting a quick profit. Set a stop-loss 2-5 pips above the recent high.
Scalping Tips: Trade during busy market hours (e.g., 5:30 PM–9:30 PM IST for forex). Exit trades within 1-5 minutes. Only risk 1-2% of your account per trade. Check for support/resistance levels or candlestick patterns to confirm signals.
Practice: Use a demo account to test the indicator. Stick to 3-5 trades per session to avoid overtrading. If signals are too frequent, adjust “Signal Delay” to 2 in settings.
This indicator simplifies scalping by combining three reliable tools into clear buy/sell signals, perfect for beginners.
Enhanced S/D Boring‑Explosive [v6]How to Use the Indicator
Boring Candle:
Yellow diamond below bar. Marks consolidation near S/D lines—watch for a breakout.
Explosive Candle:
Orange bar color and triangle above. Signals a potential move—entry on close (directional, filtered by MA).
Supply/Demand Zones:
Red (resistance/supply) and Lime (support/demand) dotted lines.
Look for signals near these levels.
Multi-TF Panel:
Label at top shows higher time frame status (Explosive/Boring/Neutral). Use for confluence.
Trading Logic Example:
Entry:
Buy: After a boring candle above EMA and near demand, next bar closes above boring high and EMA (explosive).
Sell: Opposite.
Stop-loss:
Below/above the boring candle wick or nearest S/D zone.
Take Profit:
Fixed RR, or at next S/D level.
CEYLON Golden Indicator Buy & SellDesigned to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels
Rifle SHORT OSVuka's Rifle Shooter Indicator
TODO fill out description of input settings
See to complement this rifle indicator.
Market Cipher Style Divergence DetectorMarket Cipher B Divergence Indicator — Description
This indicator is a custom implementation inspired by Market Cipher B, focusing on detecting bullish and bearish divergences between price action and a composite oscillator.
Key Features:
Composite Oscillator: Combines WaveTrend, RSI, and Stochastic RSI to mimic Market Cipher B’s momentum oscillator.
Pivot Detection: Automatically identifies swing highs and lows in price to locate potential reversal points.
Divergence Signals:
Regular Bullish Divergence: Price forms lower lows while oscillator forms higher lows — indicating potential bullish reversal.
Hidden Bullish Divergence: Price forms higher lows while oscillator forms lower lows — signaling continuation of an uptrend.
Regular Bearish Divergence: Price forms higher highs while oscillator forms lower highs — signaling potential bearish reversal.
Hidden Bearish Divergence: Price forms lower highs while oscillator forms higher highs — indicating continuation of a downtrend.
Price Chart Alerts: Divergence signals are plotted directly on the price chart for easy visual identification.
Customizable Pivot Lookbacks: User inputs allow tuning sensitivity for pivot detection and signal frequency.
Oscillator Plot: The underlying oscillator is plotted for reference, providing insight into momentum strength.
Intended Use:
This tool is designed to help traders spot early trend reversals and continuations by identifying divergences, which are powerful signals often missed by simple momentum indicators alone.
Note:
As with any technical indicator, divergences should be confirmed with additional tools or price action analysis to reduce false signals.
Spaghetti 2.0 - Multi-Asset Performance [By Barbell_Fi]This is an updated and more opinionated take on the original Spaghetti indicator.
Multi Asset Performance indicator (also called “Spaghetti”) makes it easy to monitor the changes in Price, Open Interest, and On Balance Volume across multiple assets simultaneously, distinguish assets that are overperforming or underperforming, observe the relative strength of different assets or currencies, use it as a tool for identifying mean reversion opportunities and even for constructing pairs trading strategies, detect "risk-on" or "risk-off" periods, evaluate statistical relationships between assets through metrics like correlation and beta, construct hedging strategies, trade rotations and much more.
Start by selecting a time period (e.g., 1 DAY) to set the interval for when data is reset. This will provide insight into how price, open interest, and on-balance volume change over your chosen period. In the settings, asset selection is fully customizable, allowing you to create three groups of up to 30 tickers each. These tickers can be displayed in a variety of styles and colors. Additional script settings offer a range of options, including smoothing values with a Simple Moving Average (SMA), highlighting the top or bottom performers, plotting the group mean, applying heatmap/gradient coloring, generating a table with calculations like beta, correlation, and RSI, creating a profile to show asset distribution around the mean, and much more.
One of the most important script tools is the screener table, which can display:
🔸 Percentage Change (Represents the return or the percentage increase or decrease in Price/OI/OBV over the current selected period)
🔸 Beta (Represents the sensitivity or responsiveness of asset's returns to the returns of a benchmark/mean. A beta of 1 means the asset moves in tandem with the market. A beta greater than 1 indicates the asset is more volatile than the market, while a beta less than 1 indicates the asset is less volatile. For example, a beta of 1.5 means the asset typically moves 150% as much as the benchmark. If the benchmark goes up 1%, the asset is expected to go up 1.5%, and vice versa.)
🔸 Correlation (Describes the strength and direction of a linear relationship between the asset and the mean. Correlation coefficients range from -1 to +1. A correlation of +1 means that two variables are perfectly positively correlated; as one goes up, the other will go up in exact proportion. A correlation of -1 means they are perfectly negatively correlated; as one goes up, the other will go down in exact proportion. A correlation of 0 means that there is no linear relationship between the variables. For example, a correlation of 0.5 between Asset A and Asset B would suggest that when Asset A moves, Asset B tends to move in the same direction, but not perfectly in tandem.)
🔸 RSI (Measures the speed and change of price movements and is used to identify overbought or oversold conditions of each asset. The RSI ranges from 0 to 100 and is typically used with a time period of 14. Generally, an RSI above 70 indicates that an asset may be overbought, while RSI below 30 signals that an asset may be oversold.)
⚙️ Settings Overview:
◽️ Period
Periodic inputs (e.g. daily, monthly, etc.) determine when the values are reset to zero and begin accumulating again until the period is over. This visualizes the net change in the data over each period. The input "Visible Range" is auto-adjustable as it starts the accumulation at the leftmost bar on your chart, displaying the net change in your chart's visible range. There's also the "Timestamp" option, which allows you to select a specific point in time from where the values are accumulated. The timestamp anchor can be dragged to a desired bar via Tradingview's interactive option. Timestamp is particularly useful when looking for outperformers/underperformers after a market-wide move. The input positioned next to the period selection determines the timeframe on which the data is based. It's best to leave it at default (Chart Timeframe) unless you want to check the higher timeframe structure of the data.
◽️ Data
The first input in this section determines the data that will be displayed. You can choose between Price, OI, and OBV. The second input lets you select which one out of the three asset groups should be displayed. The symbols in the asset group can be modified in the bottom section of the indicator settings.
◽️ Appearance
You can choose to plot the data in the form of lines, circles, areas, and columns. The colors can be selected by choosing one of the six pre-prepared color palettes.
◽️ Labeling
This input allows you to show/hide the labels and select their appearance and size. You can choose between Label (colored pointed label), Label and Line (colored pointed label with a line that connects it to the plot), or Text Label (colored text).
◽️ Smoothing
If selected, this option will smooth the values using a Simple Moving Average (SMA) with a custom length. This is used to reduce noise and improve the visibility of plotted data.
◽️ Highlight
If selected, this option will highlight the top and bottom N (custom number) plots, while shading the others. This makes the symbols with extreme values stand out from the rest.
◽️ Group Mean
This input allows you to select the data that will be considered as the group mean. You can choose between Group Average (the average value of all assets in the group) or First Ticker (the value of the ticker that is positioned first on the group's list). The mean is then used in calculations such as correlation (as the second variable) and beta (as a benchmark). You can also choose to plot the mean by clicking on the checkbox.
◽️ Profile
If selected, the script will generate a vertical volume profile-like display with 10 zones/nodes, visualizing the distribution of assets below and above the mean. This makes it easy to see how many or what percentage of assets are outperforming or underperforming the mean.
◽️ Gradient
If selected, this option will color the plots with a gradient based on the proximity of the value to the upper extreme, zero, and lower extreme.
◽️ Table
This section includes several settings for the table's appearance and the data displayed in it. The "Reference Length" input determines the number of bars back that are used for calculating correlation and beta, while "RSI Length" determines the length used for calculating the Relative Strength Index. You can choose the data that should be displayed in the table by using the checkboxes.
◽️ Asset Groups
This section allows you to modify the symbols that have been selected to be a part of the 3 asset groups. If you want to change a symbol, you can simply click on the field and type the ticker of another one. You can also show/hide a specific asset by using the checkbox next to the field.
ATR % Line from Day LowHow can you make sure that you're not buying a stock that is too extended?
By limiting your buys to within a certain percentage of either the low-of-the-day (LoD) if you're going long, or to the high-of-the-day (HoD) if you're shorting a stock. This script will help you do just that.
Limiting stock purchases to within a certain percentage of the Average True Range (ATR) from the day's low or high is a risk management technique that offers several key benefits:
Risk Control and Position Sizing
By using ATR as a boundary, you're essentially creating a volatility-adjusted buffer. Since ATR measures recent price volatility, this approach prevents you from buying into stocks that have already moved significantly beyond their normal trading range. This helps avoid entering positions when the stock might be overextended and due for a pullback.
Improved Entry Timing
This strategy encourages patience and discipline. Rather than chasing a stock that's already run up substantially from its low, you wait for better entry points. For example, if you set a limit of 50% of ATR from the day's low, you're only buying when the stock hasn't moved more than half its typical daily range from the bottom.
Volatility Awareness
ATR naturally adjusts for each stock's individual volatility characteristics. A high-volatility stock might have an ATR of $2, while a low-volatility stock might have an ATR of $0.50. This approach scales your entry criteria appropriately for each security rather than using arbitrary dollar amounts.
Reduced Emotional Trading
Having a systematic rule removes the temptation to chase momentum or buy at poor technical levels. It forces you to wait for the stock to come back to more reasonable levels relative to its recent trading behavior.
Better Risk-Reward Ratios
By entering closer to the day's low (within your ATR percentage), you're typically getting a better risk-reward setup. Your stop loss (often placed below the day's low) will be tighter, while your potential upside remains intact.
This approach works particularly well for swing traders and those looking to enter positions on pullbacks or during consolidation periods rather than breakout scenarios.
To save valuable real estate on your chart, there's also an option that can give you a compact version of this indicator which will show only the "Current Day's Low/High" and "Target Price". "Target Price" being the price at which your max buy limit is based on the % ATR you choose in settings.
Auto TrendlinesAuto Trendline – Indicator Description
The Auto Trendline indicator automatically draws trendlines based on recent swing highs and lows using pivot analysis. It helps traders quickly identify short-term and long-term market trends without manual drawing.
✅ Features:
Automatic drawing of trendlines based on pivot points (highs and lows)
Custom timeframe support: Use higher timeframe pivot data while working on lower charts
Trendlines update dynamically as new pivots are formed
Lines extend only to the current bar, keeping the chart clean
⚙️ How It Works:
The indicator detects recent swing highs and lows using pivot strength
Two most recent pivot points are connected to form each trendline:
Uptrend line from two higher lows
Downtrend line from two lower highs
Trendlines are redrawn as new pivots appear
Пробиття фракталів з медіаною та адаптивним фільтромWe are going to describe the indicator in English. The indicator is based on the concept of fractal breakouts with volume confirmation using median and adaptive filtering.
### Indicator Description:
**Indicator Name:** Fractal Breakout with Volume Median and Adaptive Filter
**Overview:**
This indicator identifies breakout signals based on fractals (price reversals) and confirms them with volume analysis. The breakout signals (both buy and sell) are generated when the price breaks a fractal level (high for buy, low for sell) and the current volume exceeds the median volume of previous breakouts by a certain adaptive multiplier. The adaptive multiplier adjusts for different timeframes to provide more relevant signals.
**Key Features:**
1. **Fractal Detection:**
- Fractals are detected using a user-defined period (default is 2).
- A top fractal (bearish reversal pattern) is formed when there is a central bar with the highest high among `len` bars on both sides.
- A bottom fractal (bullish reversal pattern) is formed when there is a central bar with the lowest low among `len` bars on both sides.
2. **Breakout Logic:**
- A buy breakout occurs when the price closes above the last top fractal level.
- A sell breakout occurs when the price closes below the last bottom fractal level.
- The breakout must happen on the current bar (i.e., the breakout is new: the previous bar was not above the top fractal for buy, or below the bottom fractal for sell).
3. **Volume Confirmation:**
- The indicator maintains two arrays (one for buy breakouts and one for sell breakouts) that store the volumes of previous breakout bars.
- For a breakout to be confirmed, the current volume must exceed the median volume of the respective array (buy or sell) multiplied by an adaptive multiplier.
- The adaptive multiplier is calculated based on the current timeframe. It is designed to be lower on higher timeframes.
4. **Adaptive Multiplier:**
- The base multiplier is set by the user (default 1.2).
- The actual multiplier is adjusted by the formula: `baseMultiplier * (1.0 - min(timeframe_in_hours, 1.0) * 0.5)`. This reduces the multiplier on timeframes of 1 hour and above.
5. **Signal Alternation:**
- The indicator alternates between buy and sell signals. After a buy signal, only a sell signal can occur, and vice versa.
6. **Visualization:**
- Fractals are marked with triangles (red downward for top, green upward for bottom).
- Breakout signals are marked with labels (green "BUY" below the bar, red "SELL" above the bar).
7. **Alerts:**
- Alert conditions are set for both buy and sell breakouts.
**Input Parameters:**
- `Period Fractal (len)`: The number of bars used to detect fractals (default: 2).
- `Number of Breakouts for Median (volLookback)`: The number of previous breakouts to consider for median volume calculation (default: 10).
- `Base Volume Multiplier (baseMultiplier)`: The base volume multiplier (default: 1.2). This is adjusted for higher timeframes.
**How It Works:**
1. **On each bar:**
- Check for the formation of new top or bottom fractals.
- Update the last top and bottom fractal levels if new fractals are found.
2. **Breakout Conditions:**
- For a buy breakout:
- The previous bar was not above the last top fractal level (i.e., no breakout in progress).
- The current bar closes above the last top fractal level.
- The current volume is greater than the median volume of previous buy breakouts multiplied by the adaptive multiplier (or if there are no previous buy breakouts, the volume condition is skipped).
- Similarly for sell breakout.
3. **Update Arrays:**
- When a breakout occurs, the current volume is added to the respective array (buyVolumes for buy, sellVolumes for sell) and the array is trimmed to the specified lookback period.
4. **Signal Generation:**
- A buy signal is plotted as a green "BUY" label below the bar.
- A sell signal is plotted as a red "SELL" label above the bar.
5. **Alerts:**
- Alerts are triggered when a breakout signal occurs.
**Additional Notes:**
- The median is calculated as the middle value of the sorted array (or the average of the two middle values for even-sized arrays).
- The adaptive multiplier ensures that on higher timeframes (like 1 hour and above) the volume requirement is less strict because volume patterns differ.
**Potential Use:**
Traders can use this indicator to identify potential trend continuations or reversals with volume confirmation. The adaptive volume filter makes it suitable for multiple timeframes.
UT Bot + Supertrend ComboYour script is a **combined trading indicator** for TradingView that integrates the **UT Bot** and **Supertrend** strategies to generate buy and sell signals for financial markets. Here's a detailed breakdown of its functionality:
---
### **1. Purpose**
The script aims to:
* **Detect buy and sell signals** using the UT Bot and Supertrend strategies.
* **Provide visual indicators** on the chart for easier decision-making.
* **Highlight trends** and issue alerts when significant conditions are met.
---
### **2. Components**
#### **UT Bot**
* **Key Features**:
* Based on the ATR (Average True Range) for calculating dynamic stop-loss levels.
* Option to use **Heikin Ashi candles** for smoother signals.
* Produces buy and sell signals when the price crosses above or below a trailing stop level.
* **Inputs**:
* `ut_key_value`: Sensitivity of the trailing stop (multiplier of the ATR).
* `ut_atr_period`: The period for calculating the ATR.
* `ut_use_heikin_ashi`: A toggle to use Heikin Ashi candles instead of standard candles.
* **Logic**:
* Tracks price movements using ATR and dynamically adjusts stop levels.
* Generates:
* A **buy signal** when the price crosses above the trailing stop.
* A **sell signal** when the price crosses below the trailing stop.
#### **Supertrend**
* **Key Features**:
* Tracks the trend direction based on price and ATR.
* Highlights trends with color shading (green for uptrend, red for downtrend).
* Optional buy and sell signal plotting based on trend reversals.
* **Inputs**:
* `st_atr_period`: The period for ATR calculation.
* `st_multiplier`: Multiplier to determine the distance of the stop levels.
* `st_show_signals`: Toggle to show buy/sell signals.
* `st_highlighting`: Toggle for background trend highlighting.
* **Logic**:
* Tracks upward and downward trends.
* Generates:
* A **buy signal** when the trend shifts to bullish.
* A **sell signal** when the trend shifts to bearish.
---
### **3. Visual Features**
* **Buy and Sell Labels**:
* `UT Buy` and `UT Sell`: Show buy/sell signals based on UT Bot logic.
* `ST Buy` and `ST Sell`: Show buy/sell signals based on Supertrend logic.
* **Background Highlighting**:
* **Green shading** for uptrends in Supertrend.
* **Red shading** for downtrends in Supertrend.
---
### **4. Alerts**
Custom alerts for automation or notifications:
* **UT Bot Alerts**:
* Triggered when a buy or sell signal occurs.
* **Supertrend Alerts**:
* Triggered on trend reversals.
---
### **5. Flexibility**
* Adjust sensitivity and performance through inputs.
* Combine UT Bot and Supertrend for **confirmation-based trading strategies**.
* Enable/disable highlighting or signals for customization.
---
### **Use Cases**
* Ideal for traders looking for automated trend-following signals.
* Works well in **volatile markets** due to ATR's adaptability.
* Can be used to confirm trades by aligning signals from both strategies.
---
Let me know if you need additional modifications or further clarification!
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
Nikko MACD + SMA 200 MEME coin strategyThis is an old strategy originally developed by ChartArt in 2015, based on MACD + SMA 200 and written in Pine Script version 2.
I’ve upgraded it to version 6 and significantly improved its performance.
The strategy is actually highly profitable under certain conditions, especially when applied to meme coins. You don’t need to modify anything—just test it directly on volatile assets.
It outperforms the typical “Buy and Hold” approach on many high-volatility coins, particularly memes.
Key Notes:
It’s simple but effective when properly configured.
No need for pyramiding: just sell 100% when bearish and buy 100% when bullish—this tends to yield better results.
The 1-hour timeframe works well. Very short intervals like 2 minutes perform poorly, and overly long ones aren't effective either. Test and adjust.
The equity drawdown is relatively low, so it can be suitable for leveraged trading—though leverage is always risky, and caution is advised.
I believe this is one of the most effective free strategies with open-source code currently available on TradingView.
Example:
SEED_DONKEYDAN_MARKET_CAP:FLOKI on a 30-minute timeframe delivers +683% profit
Starting with $10,000, it ends with over $68,000
It also performs well on CRYPTOCAP:PEPE and SEED_DONKEYDAN_MARKET_CAP:BONK , but does not yield strong results with $BTC.
Below is the README:
--------------------------------------------------------------------------------------
// Original by ChartArt
// updated from v2 to v6 and improved some stuff
strategy("Nikko MACD + SMA 200 Strategy (by ChartArt)", shorttitle="Nikko - MACD + SMA 200 Strategy", overlay=true, initial_capital=10000,default_qty_value = 10, pyramiding = 10, default_qty_type = strategy.percent_of_equity, commission_value = 0.06 )
// ChartArt's MACD + SMA 200 Strategy
//
// Version 2.0
// Idea by ChartArt on November 30, 2015.
// updated June 2025 by CryptoNikkoid
//
// Here is a combination of the MACD with the
// slow moving average SMA 200 as a strategy.
//
// This strategy goes long if the MACD histogram
// and the MACD momentum are both above zero and
// the fast MACD moving average is above the
// slow MACD moving average. As additional long filter
// the recent price has to be above the SMA 200.
// If the inverse logic is true, the strategy
// goes short. For the worst case there is a
// max intraday equity loss of 50% filter.
// -------------------
// changed the strategy to close all orders when turning bearish, also fixed some design glitches
// this strategy is working better on short timeframe (5min for example)
cloud shift alertsMA Cloud Pairs + Price Signal Pro
Overview:
This advanced multi-MA tool visualizes key crossover interactions between short- and long-term moving averages, along with precise price-to-MA breakouts. Designed for trend-followers and breakout traders, it highlights actionable cloud shifts and crossover events with built-in volume filtering and cooldown logic.
🔧 Key Features:
🔁 MA Pair Clouds:
Visual cloud zones formed by:
MA1 vs MA4
MA2 vs MA5
MA3 vs MA6
Customizable colors for bullish, bearish, and neutral states
📈 Cross Signals:
Detects crossovers between each MA pair (e.g., MA1 crossing MA4)
Volume-based validation and cooldown timers prevent signal spam
📍 Price-to-MA Breakout Alerts:
Separate signals for price crossing above/below MA4, MA5, and MA6
Helpful for tracking breakout and breakdown zones
🎨 Full Visual Customization:
Toggle MA lines, clouds, and signal types
Individual color settings for each MA and cloud state
EMA Confluence Oscillator📌 EMA Confluence Oscillator + Signal
This oscillator helps detect ranging vs trending conditions by measuring EMA alignment, slope, and choppiness. It’s designed for traders who want to avoid chop and trade in clean directional moves.
⸻
🔍 How It Works:
• Uses 3 EMAs (Fast, Medium, Slow) to assess market structure
• Measures how flat the slow EMA is (low slope = range)
• Detects short-term momentum flips in fast/medium EMAs
• Calculates EMA spread to find tight, choppy zones
• Combines all signals into a Range Score (0–1 scale)
⸻
🧠 How to Use:
• High Range Score (near 1): Market likely ranging
• Low Range Score (near 0): More directional/trending
• Watch for crosses below the range threshold to spot trend breakouts
• Optional Signal Line helps smooth decision points
⸻
⚙️ Features:
• Custom lengths for 3 EMAs
• Adjustable slope and convergence thresholds
• Toggle smoothing and signal line
• Background highlight when market is likely in a range
• Clean layout designed for fast intraday analysis
⸻
🛠️ Input Settings Explained:
• Fast/Medium/Slow EMA: Controls trend detection windows
• Slope Lookback: Period used to assess flatness of slow EMA
• Convergence Threshold: How close EMAs must be to count as “tight”
• Smooth Output: Reduces noise in final Range Score
• Signal Line: Smoothed version of the score for easier reading
• Range Threshold: Level where choppiness is likely
• Show Background: Highlights range zones visually
BK AK-SILENCER (P8N)🧩 BK AK-SILENCER (P8N)
CVD Bollinger Band Engine | Dynamic Flash | Structure Zones | Divergence Panel
🧠 Introduction
This is the second half of the AK-SILENCER system: BK AK-SILENCER (P8N) — a standalone CVD panel that amplifies stealth detection with volatility-based bands, dynamic flash alerts, and smart structural analysis.
This panel works on its own, but was engineered to pair perfectly with BK AK-SILENCER overlay.
🔎 What “P8N” Means
P8N = Precision. 8 Dimensions. Noise-filtered.
8 represents balance, cycles, infinite feedback, and control — all concepts deeply tied to Gann, geometry, and institutional rhythm.
This engine reads volume through volatility — not price. It detects shifts where real moves begin — quietly.
⚙️ Core Weapon Systems
✅ CVD Line + MA + Fill Logic
See the cumulative volume delta with trend tracking and real-time color fills.
✅ Bollinger Bands
Standard deviation bands built around the signal line — not price. Shows real overbought/oversold based on volume movement.
✅ Dynamic Flash Backgrounds
When CVD pressure reaches extremes, the background flashes — silently warning of potential pivots or continuation.
✅ Divergence Detection
Automatic structural divergence plotted between price and CVD — with configurable pivot logic.
✅ Structure Lines (optional)
Visual anchors: session opens, POC, deviation bands, value zones, and structural support/resistance pivots.
🎯 How to Use It
Flash + CVD breaches upper band = momentum continuation
Flash + divergence = prepare for mean-reversion
Divergence + POC/value area = sniper entry
Combine with BK AK-SILENCER overlay bar colors = full market read
💡 Perfect For
Momentum traders who wait for pressure confirmation
Reversal traders looking for structure + volume misalignment
Pattern and time traders syncing Gann, Elliott, and Fib setups
Swing traders seeking multi-layered confirmation
🔧 Customize It. Share It. Grow It.
No tool is perfect out of the box — it must fit your flow.
🛠️ Test your BB deviation values. Adjust dynamic flash settings. Tune pivot logic.
💬 Then share your favorite combos in the comments.
What worked for you might unlock clarity for someone else.
If this helped you — return the favor. Drop your blueprint.
🔗 Works Best With
➡️ BK AK-SILENCER
Together, they detect what price alone cannot. One sees aggression. One sees intent.
Overlay + Panel = Total Edge.
🙏 Pay It Forward
This was built through the lessons of a mentor who gave selflessly — and the blessing of Gd who gave structure to the chaos.
If this gave you insight:
🔹 Teach someone
🔹 Post your best settings
🔹 Share what you've learned
🔹 Help the next person trade with discipline
We’re not here just to win. We’re here to evolve — and bring others with us.
To my mentor — A.K. — this is yours.
To Gd — the source of wisdom — this is for Your glory.
—
Silent. Steady. Strategic.
🎯 BK AK-SILENCER (P8N) — See what others miss.
Gd bless your precision, purpose, and patience. 🙏
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands
Overview
MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities.
Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe.
Features
Core Component: Built around RSI MA, not raw RSI, for smoother trend signals.
Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H).
Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals.
Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes.
Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation.
Screenshot Panels Configuration
Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands).
Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment.
Band Calculation Methods
The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics:
Fixed Bands
Set at a fixed point value (default: 10) above and below RSI MA.
Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40.
Use Case: Best for stable markets or fixed-range preferences.
Tip: Adjust the band value to widen or narrow the range based on asset volatility.
Percent Bands
Calculated as a percentage of RSI MA (default: 10%).
Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45.
Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA.
Tip: Experiment with percentage values to match typical price swings.
Standard Deviation Bands (StdDev)
Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10).
Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40.
Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands.
Use Case: Best for dynamic markets with fluctuating volatility.
Configuration Options
RSI Length: Set RSI calculation period (default: 20).
MA Length: Set RSI MA period (default: 20).
MA Type: Choose SMA or EMA for RSI MA (default: EMA).
Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis.
Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30).
Background Coloring: Enable/disable for each timeframe to highlight directional alignment.
How to Use
Add Indicator: Load it onto your TradingView chart.
Setup:
Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands.
Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring.
Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy.
Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands.
Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term.
Notes
Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust.
StdDev Bands: Lower the default value (10) to avoid overly wide bands.
Versatility: Works across markets (stocks, forex, crypto).