1337 VolumeThis volume indicator gives you a unique perspective and ability to analyze volume in any market. The upper line that is always >=0 represents average up volume over a user definable period while the lower line that is always <= 0 represents the average down volume over a user definable period.
green == bullish candle but volume lower than average
lime == bullish candle with above average volume
crimson == bearish candle with below average volume
red == bearish candle with above average volume
This indicator is very useful for spotting bottoms / tops (do a visual backtest and observe its behavior) as well as entry opportunities.
By default, the lookback period for average volume is 7, but I encourage you to change this value in order to find settings that work best for your particular market.
If you have any feedback or ideas for improvement, please comment.
Enjoy :D
Search in scripts for "top"
Spinning TopsThis is my script for a spinning top. It is just another form of a doji. It is an indecision bar. Enjoy.
Bitcoin Golden Pi CyclesTops are signaled by the fast top MA crossing above the slow top MA, and bottoms are signaled by the slow bottom MA crossing above the fast bottom MA. Alerts can be set on top and bottom prints. Does not repaint.
Similar to the work of Philip Swift regarding the Bitcoin Pi Cycle Top, I’ve recently come across a similar mathematically curious ratio that corresponds to Bitcoin cycle bottoms. This ratio was extracted from skirmantas’ Bitcoin Super Cycle indicator . Cycle bottoms are signaled when the 700D SMA crosses above the 137D SMA (because this indicator is closed source, these moving averages were reverse-engineered). Such crossings have historically coincided with the January 2015 and December 2018 bottoms. Also, although yet to be confirmed as a bottom, a cross occurred June 19, 2022 (two days prior to this article)
The original pi cycle uses the doubled 350D SMA and the 111D SMA . As pointed out this gives the original pi cycle top ratio:
350/111 = 3.1532 ≈ π
Also, as noted by Swift, 111 is the best integer for dividing 350 to approximate π. What is mathematically interesting about skirmanta’s ratio?
700/138 = 5.1095
After playing around with this for a while I realized that 5.11 is very close to the product of the two most numerologically significant geometrical constants, π and the golden ratio, ϕ:
πϕ = 5.0832
However, 138 turns out to be the best integer denominator to approximate πϕ:
700/138 = 5.0725 ≈ πϕ
This is what I’ve dubbed the Bitcoin Golden Pi Bottom Ratio.
In the spirit of numerology I must mention that 137 does have some things going for it: it’s a prime number and is very famously almost exactly the reciprocal of the fine structure constant (α is within 0.03% of 1/137).
Now why 350 and 700 and not say 360 and 720? After all, 360 is obviously much more numerologically significant than 350, which is proven by the fact that 360 has its own wikipedia page, and 350 does not! Using 360/115 and 720/142, which are also approximations of π and πϕ respectively, this also calls cycle tops and bottoms.
There are infinitely many such ratios that could work to approximate π and πϕ (although there are a finite number whose daily moving averages are defined). Further analysis is needed to find the range(s) of numerators (the numerator determines the denominator when maintaining the ratio) that correctly produce bottom and top signals.
[_ParkF]FractalTop gray line is the fractal resistance.
Bottom gray line is the fractal support.
Central red line is the average of the top&bottom fractal.
Fractals can be displayed as support and resistance, and the red fractal average line indicates a trend.
상단 회색선은 프랙탈 저항,
하단 회색선은 프랙탈 지지,
중앙 빨간선은 프랙탈 상,하단의 평균,
프랙탈은 지지와 저항으로 표시되고 빨간색 프랙탈 평균선은 추세입니다.
mehja,atops and bottoms
This indicator shows a break of the peak and a pullback if the trend was upward and the path changed to downward, along with an indication of the targets, and the opposite in a downward trend.
Top Performer Dashboard (22 Stocks)added to your chart you can add up to 22 individual stocks, it will rank them from highest to lowest growth over 4 time frames, 1 week, 1 month, 3 month and 6 months. you can sort the results by each time frame.
please enjoy
Daily ATR vs Move (black & white) + PipsTop of Chart, Mid. Gives the user an idea of what trend is doing and how the current price compares to daily ATR.
Used on this example below to indicate we are within the bottom range for the day, and price has potential to move up without worry of exhaustion.
[Top] Simple ATR TP/SLSimple TP/SL from ATR (Locked per Bar) - Advanced Position Management Tool
What This Indicator Does:
Automatically calculates and displays Take Profit (TP) and Stop Loss (SL) levels based on Average True Range (ATR)
Locks ATR values and direction signals at the start of each bar to prevent repainting and provide consistent levels
Offers multiple direction detection modes including real-time candle-based positioning for dynamic trading approaches
Displays entry, TP, and SL levels as clean horizontal lines that extend from the current bar
Original Features That Make This Script Unique:
Bar-Locked ATR System: ATR values are captured and frozen at bar open, ensuring levels remain stable throughout the bar's progression
Multi-Modal Direction Detection: Four distinct modes for determining TP/SL positioning - Trend Following (EMA-based), Bullish Only, Bearish Only, and real-time Candle Based
Real-Time Candle Flipping: In Candle Based mode, TP/SL levels flip immediately when the current candle changes from bullish to bearish or vice versa
Persistent Line Management: Uses efficient line object management to prevent ghost lines and maintain clean visual presentation
Flexible Base Price Selection: Choose between Open (static), Close (dynamic), or midpoint (H+L)/2 for entry level calculation
How The Algorithm Works:
ATR Calculation: Captures ATR value at each bar open using specified length parameter, maintaining consistency throughout the bar
Direction Determination: Uses different methods based on selected mode - EMA crossover for trend following, or real-time candle color for dynamic positioning
Level Calculation: TP level = Base Price + (Direction × TP Multiplier × ATR), SL level = Base Price - (Direction × SL Multiplier × ATR)
Visual Management: Creates persistent line objects once, then updates their positions every bar for optimal performance
Direction Modes Explained:
Trend Following: Uses 5-period and 12-period EMA relationship to determine trend direction (locked at bar open)
Bullish Only: Always places TP above and SL below entry (traditional long setup)
Bearish Only: Always places TP below and SL above entry (traditional short setup)
Candle Based: Dynamically adjusts based on current candle direction - flips in real-time as candle develops
Key Input Parameters:
ATR Length: Period for ATR calculation (default 14) - longer periods provide smoother volatility measurement
TP Multiplier: Take profit distance as multiple of ATR (default 1.0) - higher values target larger profits
SL Multiplier: Stop loss distance as multiple of ATR (default 1.0) - higher values allow more room for price movement
Base Price: Reference point for level calculations - Open for static entry, Close for dynamic tracking
Direction Mode: Method for determining whether TP goes above or below entry level
How To Use This Indicator:
For Position Sizing: Use the displayed SL distance to calculate appropriate position size based on your risk tolerance
For Entry Timing: Wait for price to approach the entry level before taking positions
For Risk Management: Set your actual stop loss orders at or near the displayed SL level
For Profit Taking: Use the TP level as initial profit target, consider scaling out at this level
Mode Selection: Choose Candle Based for scalping and quick reversals, Trend Following for swing trading
Visual Style Customization:
Line Colors: Customize TP line color (default teal) and SL line color (default orange) for easy identification
Line Widths: Adjust TP/SL line thickness (1-5) and entry line thickness (1-3) for visibility preferences
Clean Display: Lines extend 3 bars forward from current bar and update position dynamically
Best Practices:
Use on clean charts without multiple overlapping indicators for clearest visual interpretation
Combine with volume analysis and key support/resistance levels for enhanced decision making
Adjust ATR length based on your trading timeframe - shorter for scalping, longer for position trading
Test different TP/SL multipliers based on the volatility characteristics of your chosen instruments
Consider using Trend Following mode during strong trending periods and Candle Based during ranging markets
[Top] LHAMA Consolidation DetectorIntroducing the Low-High Adaptive Moving Average (LHAMA 🦙), a powerful tool designed to help traders visually distinguish between trending and consolidating market phases. Unlike traditional moving averages that can produce false signals in choppy markets, the LHAMA is engineered to flatten out during periods of consolidation and become more responsive when a clear trend emerges.
This indicator's primary function is to act as a "Consolidation Detector." When the LHAMA line goes flat and adopts its "Flat Color," it serves as a clear visual cue that the market is range-bound. Conversely, when the line begins to slope and changes to its Bullish or Bearish color, it signals a potential breakout or the start of a new trend.
How It Works
The LHAMA is a type of adaptive moving average. Its adaptiveness is derived from a unique calculation that measures market "trendiness." It does this by tracking whether new highs or new lows are being made within a specified lookback period.
In a Trending Market: When the price consistently makes new highs or lows, the indicator's responsiveness increases, causing the LHAMA to track the price much more closely and responsively.
In a Consolidating Market: When the price is range-bound and fails to make new highs or lows, the responsiveness decreases significantly. This causes the LHAMA to flatten out and become less sensitive to minor price fluctuations, effectively filtering out market noise.
Key Features
Adaptive Calculation: The core engine of the indicator, which automatically adjusts its smoothing based on trend strength.
Slope-Based Coloring: The line's color dynamically changes based on its slope, providing an at-a-glance view of market conditions: bullish, bearish, or flat.
Multi-Line & Multi-Timeframe (MTF): You can enable up to six fully customizable LHAMA lines. Each line can be configured with its own length, colors, and can even be set to a different timeframe, allowing for comprehensive multi-timeframe analysis on a single chart.
Volatility Clouds: Each LHAMA can display an optional cloud around it. The cloud's width is based on your choice of either the Average True Range (ATR) or Standard Deviation (StdDev), offering a visual representation of volatility.
Volume Weighting: An option to incorporate volume into the adaptive calculation, making the LHAMA even more responsive during high-volume price movements.
How to Use
Identify Consolidation: The primary use case. A flat and consistently colored LHAMA line is a strong indication of a sideways or consolidating market. This can help traders avoid taking trend-following trades in choppy conditions.
Confirm Trends: When the LHAMA begins to slope upwards or downwards and changes to its trend color, it can be used to confirm the direction and strength of a new trend. The steeper the slope, the stronger the momentum, and more solid the directional color.
Dynamic Support & Resistance: Like other moving averages, the LHAMA can act as a dynamic level of support in an uptrend or resistance in a downtrend. The optional cloud can further define these zones.
Multi-MA Ribbon Strategy: By enabling multiple LHAMAs with different lengths (e.g., Fibonacci sequence like 14, 21, 34, 55), you can create a ribbon. The expansion of the ribbon indicates a strong trend, while its contraction signals a weakening trend or consolidation.
Settings Explained
Enable 🦙 Line: A simple checkbox to turn each of the six LHAMA lines on or off.
Length: The lookback period for the LHAMA calculation. Shorter lengths are more responsive, while longer lengths are smoother.
Timeframe: Set a specific timeframe for each LHAMA. Leave blank to use the chart's current timeframe.
Volume Weight: If checked, adds volume weighting to make the LHAMA more responsive to high-volume moves.
Colors (Bullish, Bearish, Flat): Customize the colors for each market state. To only see the line during consolidation, set the Bullish and Bearish colors to 100% transparency. To hide the line during consolidation, set the Flat color to 100% transparency.
Color Sensitivity: This is a crucial setting. Because price scales (tick sizes) vary widely between symbols, this setting allows you to adjust the sensitivity of the slope detection. A lower value requires a steeper slope to trigger a trend color, while a higher value is more sensitive.
Recommended settings are provided in the input tooltip as a starting point:
$5 Tick: 0.25 Sensitivity
$1 Tick: 0.75 Sensitivity
$0.25 Tick: 3 Sensitivity
$0.01 Tick: 50 Sensitivity
$0.005 Tick: 100 Sensitivity
Cloud Settings:
Show Cloud: Toggles the visibility of the volatility cloud around the LHAMA.
Width Based On: Choose between "ATR" or "StdDev" to calculate the cloud's width.
Cloud Length & Width: Set the lookback period and multiplier for the ATR/StdDev calculation to control the size of the cloud.
Top - Bottom Using MAThis script is used decide weather stock is overbought or oversold in given length/days from the settings.
using close difference from ohlc4 moving average ratio.
Settings Available
1) moving average length
2) Highest / Lowest ratio length
3) Difference Between Highest and Lowest Line
this script plot/display 4 lines
1) highest difference from moving averages in provided length.
2) lowest difference from moving averages in provided length.
3) ratio of moving average and ohlc4
4) linear regression moving averages of ratio of moving average and ohlc4
How to use this script
1) when ratio line is touch 2 days to highest ratio line means we are consider stock is in overbought levels or linear regression moving average above highest ratio line means overbought.
2) when ratio lines cross below its linear regression moving average then we consider final exit or book profit.
3) when linear regression moving average below lowest ratio line means stock is in oversold.
4) when linear regression moving average below lowest ratio line and linear regression line start rising after fall it means there is change in trend.
5) when linear regression moving average cross above lowest ratio line it means trend is changed and linear regression line turns green.
TOP 4 STABLECOIN MARKET CAPIn the cryptocurrency market, there is a challenge: understanding the flow of stablecoins during market growth and downturns. It's difficult to grasp whether the market surge is due to a shift in funds from BTC or an influx of USD. Detecting the fluctuation in market capitalization of stablecoins helps investors gain a clearer perspective of market volatility.
Usage:
When there are fluctuations in the market capitalization, it is essential to combine observations of this indicator with other technical indicators.
ADR in 0.5 / 1 / 3 / 5top of the morning!
This indicator is a tiny bit different then the previous one i published.
As per my little study into the ATR, i have decided to remove it out of my indicator and instead put in a half an ADR in dollar vallue.
For me, i can use this value to check at what level i would like my stop. The next evolvement of this indicator might be a total new one since i'd be one for a lower timeframe with the 0.5 and 0.3 adr down from current high otd.
Hope you enjoy it,
Peace
Top 5 Power Momentum IndicatorHow I Never Trade Against the Trend
"Today I want to reveal another amazing tool in my arsenal when it comes to intraday trading. Now this is only for intraday time frames and not for swings or anything longer than few minutes to few hours ."
from Tic Tock Trading Substack
credit to Vincente
COVID19 in % of the population of this countryTop 10 countries by the number of infected #COVID19 (#coronavirus) as a % of the population of this country.
CoinStrengthIndex [Singque]1-25Top 1-25 market cap altcoins true strength. Color gradient red to blue based on highest cap to lowest cap. Enjoy.(Use with bitcoin chart)
CoinStrengthIndex [Singque]25-50Top 25-30 market cap altcoins true strength. Color gradient red to blue based on highest cap to lowest cap. Enjoy. (Use with bitcoin chart)
Peak Trading Activity Graphs [LuxAlgo]The Peak Trading Activity Graphs displays four graphs that allow traders to see at a glance the times of the highest and lowest volume and volatility for any month, day of the month, day of the week, or hour of the day. By default, it plots the median values of the selected data for each period. Traders can enable the Median Delta feature to further highlight differences in the data. The graphs are customizable in width and height and feature gradient colors by default.
🔶 USAGE
The tool is simple yet powerful. Using the three main parameters on the settings panel, traders can display up to four different graphs and up to 16 different configurations.
There are two main types of data: volume and volatility. There are also four different time periods: months, days of the month, days of the week, and hours of the day. There is also the possibility of displaying the raw medians or the delta between them.
Understanding which time periods have the most and least volume and volatility is essential for any trader. From avoiding trading during periods of low volume to properly sizing positions during periods of high volatility, there are multiple use cases directly related to improving execution and risk management.
🔹 Months
This chart shows the monthly volume and volatility of NQ as medians at the top and as the delta of medians at the bottom.
As we can see on the left-hand chart, the volume is fairly consistent throughout the year. January, March, and October have the highest volume, and December has the lowest volume for obvious reasons. Note the bottom chart with the delta feature enabled, which clearly shows the top and bottom periods.
On the right, we have volatility, which is also evenly distributed throughout most months. October is the most volatile month, and March is the least volatile month. The differences are also very clear on the bottom chart with delta enabled.
Traders may want to compare median volatility and volume by month to size positions and favor exposure during historically high-activity months.
🔹 Days of Month
The same NQ charts are shown, but in this case, the Days of Month period has been selected. As you can see, this displays a calendar-like graph. The volume is on the left, the volatility is on the right, and the delta feature is enabled on the bottom charts. This feature allows for stronger differences in gradient.
The top charts show that the raw medians of both volume and volatility are evenly distributed. We need to enable the delta feature on the bottom charts to see where the most and least volume and volatility are.
Traders can use median activity by calendar day to anticipate liquidity expansions or contractions and adjust trade frequency.
🔹 Days of Week
In this case, we have BTC charts with the same layout as before. Notably, the difference in volume on weekends is not as pronounced from a volatility perspective on those same days.
A practical use case can be differentiate high-risk, high-participation weekdays from low-activity sessions to select trend or range-based strategies.
🔹 Hours of Day
This shows the volume and volatility of each hour of the day for gold futures. As we can see, the most volume and volatility occur during the three hours around the RTH open at 8:00, 9:00, and 10:00 a.m.
Traders may want to isolate hours with the highest median volatility and volume to concentrate execution and avoid low-liquidity periods.
🔹 Assets Comparison
This tool allows us to compare different assets over the same period. In this case, we are comparing the hours of the day for 10-year notes, the S&P 500, silver, and the yen. Each asset has a different volatility profile throughout the day.
With the Delta feature enabled, we can clearly see the differences. The 10Y Notes move from 7:00 to 9:00 and from 2:00 to 9:00. The Yen moves from 7:00 to 9:00 and from 2:00 to 9:00. Silver moves from 8:00 to 10:00. The S&P 500 moves from 8:00 to 9:00 and from 14:00 to 15:00. All times are in exchange time.
🔹 Sizing & Coloring Graphs
Traders can adjust the width and height of the graphs, as well as the text size, at will.
Traders can choose from four different color configurations in the settings panel.
🔶 SETTINGS
Data: Select the type of data to display: Volume or Volatility.
Period: Select the time period to display: Month, Day of Month, Day of Week, or Hours.
Display delta between medians. Display the difference between the medians as a percentage. The smaller median is 0 and the larger median is 100. Enabling this feature highlights the differences between values.
🔹 Graph
Graph: Select the graph location.
Size: Select the graph size.
Width: Select the graph width.
Height: Select the height of the graph.
🔹 Style
Colors: Select a color map: Viridis, Plasma, Magma, or Custom.
Custom Cold: Select a custom color for cold (low values).
Custom Lukewarm: Select a custom color for lukewarm (medium values).
Custom Hot: Select a custom color for hot (high values).
Piv X ProPiv X Pro - Advanced Pivot Detection with Multi-Timeframe Confluence Analysis
Overview
Piv X Pro identifies pivot highs and lows using a confluence scoring system. It combines pivot detection, volume-weighted analysis, Williams %R divergence, and multi-timeframe confirmation to highlight higher-probability pivot zones.
What Makes This Script Original
This script combines several components into a single workflow:
Dynamic pivot strength calculation based on ATR
Confluence scoring (10+ factors) to rank pivot quality
Multi-timeframe VWAP analysis (bottom/top extremes plus period-based VWAPs)
Williams %R divergence detection with anchored VWAPs
Market structure shift (CHoCH) identification
Real-time and confirmation modes for different trading styles
How It Works
Pivot Detection:
Uses ATR-based dynamic pivot strength (adjusts to volatility)
Filters pivots by significance (distance from recent averages)
Optional volume confirmation
Real-time mode for immediate detection or confirmation mode for verified pivots
Confluence Scoring System:
Each pivot receives a score (0-100+) based on:
Volume spikes (15 points)
Higher timeframe trend alignment (20 points)
RSI oversold/overbought conditions (25 points)
Price exhaustion signals (10 points)
RSI divergence (15 points)
Swing failure patterns (15 points)
Liquidity sweeps (10 points)
Candle reversal confirmation (10 points)
Key level alignment (10 points)
Fair value gap fills (10 points)
Session weighting (10 points)
Multi-timeframe pivot confluence (15 points)
Major Pivot Thresholds:
Real-time mode: 60+ confluence score
Confirmation mode: 80+ confluence score
Golden zones: 90+ score (highlighted differently)
VWAP Analysis:
Bottom/Top VWAPs: Anchored to absolute extremes within a lookback period
Period VWAPs: Weekly, Monthly, Yearly, plus 4D, 9D, 4H, 8H
Previous period VWAPs: Shows last period's VWAP for reference
Williams Divergence VWAPs: Anchored VWAPs triggered by bullish/bearish divergences
Market Structure:
Identifies Market Structure Shifts (CHoCH) when pivot sequences break
Draws structure lines connecting major pivots
Visual zones around major pivot levels
How to Use
Setup:
Apply to any timeframe (optimized for 1min, 5min, 15min, 1H)
Adjust pivot detection sensitivity via "ATR Pivot Strength Multiplier"
Choose Real-Time Mode (immediate) or Confirmation Mode (verified pivots)
Reading the Signals:
Major Pivot Low (PL): Green zones with confluence score
Major Pivot High (PH): Purple zones with confluence score
Golden Zones: Yellow highlights (90+ score)
CHoCH: Blue dashed lines marking structure breaks
Williams Divergence: Triangles + anchored VWAP lines
Trading Applications:
Support/Resistance: Use major pivot zones as key levels
Entry Timing: Combine confluence scores with price action
Trend Following: Use CHoCH signals for trend changes
Divergence Trading: Williams %R divergences with anchored VWAPs
Multi-Timeframe: Use HTF trend filter and VWAPs for context
Important Notes:
This is a technical analysis tool, not a trading system
Confluence scores indicate probability, not guarantees
Past performance does not predict future results
Always use proper risk management
Combine with your own analysis and strategy
Key Features
Pivot Quality Filters:
ATR-based significance filtering
Volume confirmation (optional)
Multi-timeframe confluence
Session-based weighting (optional)
Visual Elements:
Pivot zones (extendable boxes)
Structure lines (connecting major pivots)
CHoCH markers (market structure shifts)
Multiple VWAP overlays
Williams divergence markers
Customization:
Adjustable pivot strength multiplier
Enable/disable individual confluence factors
Customizable colors and visual styles
Alert system for major pivots and structure shifts
Technical Details
Open Source:
This script is open source. The code is available for review and modification. Users can see exactly how calculations are performed.
Calculations:
Pivot detection uses ta.pivothigh() and ta.pivotlow() with dynamic strength
VWAP calculations use cumulative price×volume / cumulative volume
Confluence scoring is additive based on multiple technical factors
Williams %R divergence uses pivot comparison logic
Limitations:
Historical data access limits apply (Pine Script constraints)
Structure lines limited to 500 bars for performance
Real-time mode may show pivots that later invalidate
Confirmation mode adds lag but increases reliability
Disclaimer
This script is for educational and informational purposes. It does not provide financial advice. Trading involves risk. Always do your own research and use proper risk management. Past performance does not guarantee future results.
Dual Timeframe Direction RSI M5 M1 ribbonsDual Timeframe Direction RSI (M5 / M1) is a directional RSI ribbon designed to structure scalping decisions on low timeframes.
It separates context (M5) from execution timing (M1), using RSI levels and slope to filter trades, avoid overextended markets, and improve entry discipline.
This indicator does not generate signals — it defines when and in which direction trading is allowed.
How to read the colored bars
M5 ribbon (top) = market context
Green → long bias allowed
Blue → short bias allowed
Orange → market overstretched, caution
Grey → no clear direction
M1 ribbon (bottom) = execution timing
Green → timing zone valid
Orange → preparation zone near RSI threshold
Grey → no trade
➡️ Trade only when M5 defines the direction and M1 confirms the timing.






















