Total Power IndicatorHello traders!
This indicator was originally developed by Daniel Fernandez (Currency Trader magazine, 2011).
It is based on the two well-known indicators by Dr. Alexander Elder - Bulls Power and Bears Power.
Signals
1) Long when Bull and Total lines indicate 100 (it happens rarely)
2) Short when Bear and Total lines indicate 100 (it happens rarely)
3) Bull and Bear lines crossovers
4) Long when Bull line crosses Total line from below
5) Short when Bear line crosses Total line from below
6) Long/Short when Bull/Bear lines cross adjustable level.
Like and follow for more open source indicators!
Happy Trading!
Search in scripts for "bear"
Volume Strength Candles / Colored BarsIs Price Action Higher or Lower on STRONG or WEAK VOLUME from lookback
(Strong or Weak Bulls // Strong or Weak Bears)
Candles / Bars Indicate the Following (default 13 period lookback / Length)
MAROON Bear Candle with STRONG VOLUME more than 150% of the lookback / length (13 default), STRONG Bear Candle Confirmed With Volume
RED Bear Candle while VOLUME is BETWEEN 50% & 150% of the Lookback / Length (13 default), Neutral Bear Volume Neither strong or weak
ORANGE Bear Candle with WEAK VOLUME (Less than 50% of the Length / Lookback)
DARK GREEN Bull Candle with STRONG VOLUME MORE than 150% of lookback
GREEN Bull Candle with Neutral VOLUME BETWEEN 50% & 150% of the lookback / Length
AQUA Bull Candle with WEAK VOLUME less than 50% of the Lookback
Is price confirmed by volume?
Can Change the Lookback / Length from 13
Can Change the Colors and Transparency to easily see based off your chart background colors I recommend ZERO Transparency to easily identify volume strength (i use white background but many use black or other)
Bitfinex Bitcoin BullishnessBased on contrary opinion in futures, I've adjusted this to Bitcoin, more thoroughly Bitfinex margin longs & shorts. Those unfamiliar with the concept, contrary opinion illustrates the psychological sentiment in the market by determining the degree of bullishness or bearishness among participants in the market.
The principle holds that when the majority of people agree on anything, they are generally wrong, so following the principle you would analyse and look to take the other side of the trades.
Consider this, once the market is extremely bullish, all bulls have already entered the market to an extent that one can't commit any more funds to the position. Even though Bitfinex margin positions are not like future trading, that every short must have someone taking the long side, one should understand that the majority of people do not make money on the market, so whenever this indicator goes too low or too high, one should look for a trend reversal.
This indicator is in the range of 0 to 1 and the neutral position for a "healthy" market is 0.55ish. Some adjustments should probably be made according to the cryptocurrency markets and I might add this in the future updates, but as of now it's a good indicator for forecasts and to get a bigger picture on a timeframe of 1 DAY or longer charts.
The base of the indicator is simple, amount of longs divided by the sum of shorts and longs.
Also you can see, how only now, 10th of April, we are hitting new lows in the bearishness of the market.
Two Bar Break Line Alerts R1.0 by JustUncleLThis indicator with default settings is designed for BINARY OPTIONS trading. The indicator can also be used for Forex trading with some setting changes. The script shows Two Bar Pullback Break lines and alerts when those Break lines are Touched (broken) creating a short term momentum entry condition.
For a Bullish Break (Green Up Arrow) to occur: first must have two (or three) consecutive bear (red) candles which is followed by a bull (green) candle creating a pivot point. The breakout occurs then the High of the current Bull (green) exceeds the highest point of the previous two (or three) pivotal bear candles. The green channel Line shows where the current Bullish BreakOut occurs.
For a Bearish Break (Red Down Arrow) to occur: first must have two (or three) consecutive bull (green) candles which is followed by a bear (red) candle creating a pivot point. The breakout occurs when the Low of the current Bear (red) drops below the lowest point of the previous two (or three) pivotal Bull candles. The red channel Line shows where the current Bearish BreakOut occurs.
The break Line Arrows can optionally be filtered by the Coloured MA (enabled by default), a longer term directional MA (disabled by default) and/or a MACD condition (enabled by default) as a momentum filter.
You can optionally select three Bar break lines instead of two. The three bar break lines are actually equivalent to Guppy's Three Bar Count Back Line method for trade entries (see Guppy's video reference below).
Included in this indicator is an ability to display some basic Binary Option statistics, when enabled (enabled by default) it shows Successful Bars in Yellow and failed Bars in Black and the last Nine numbers on the script title line represent the Binary option Statistics in order:
%ITM rate
Total orders
Successful Orders
Failed Orders
Total candles tested
Candles per Day
Trades per Day
Max Consecutive Wins
Max Consecutive Losses
You can start the Binary Option statistics from a specific Date, which is handy for checking more recent history.
HINTS:
BINARY OPTIONS trading: use 5min, 15m, 1hr or even Daily charts. Trade after the price touches one of the Breakout lines and the Arrow first appears. Wait for the price to come back from Break Line by 1 or 2 pips, the alert arrow must stay on and candle change to black, then take Binary trade expiry End of Candle. If price pull back and arrow turns off, don't trade this candle, move on you probably don't have momentum, there will be plenty of other trigger events. The backtesting results are good with ITM rates 65% to 72% on many currency pairs, commodities and indices. Realtime trading has confirmed the backtesting results and they could even be bettered, provided you are selective on which signals to trade (strong MACD support etc), that you are patient and disciplined to this trading method.
FOREX trading: the default settings should work with scalping. For longer term trades try with settings change to a more standard MACD filter or slower to catch the longer term momentum swings and the idea would be to trade the first Break Line alert that occurs after a decent Pullback in the direction of the trend. Setting the SL to just above/below the Pivot High/Low and set target to two or three times SL.
References:
"Fundamentals of Price Action Trading for Forex, Stocks, Options and Futures" video:
www.youtube.com
Other videos by "basecamptrading" on Naked Trading.
"Taking Profits in Today's Market by Daryl Guppy" video:
www.youtube.com
Universal Longs Vs. Shorts - Ratio (Any Symbol)Hello again all my Trading View friends!
This script is a variation of my other script "Universal Longs Vs. Shorts - Percentage (Any Symbol)"
It allows you to choose ANY symbol and plot the ratio against ANY other symbol, as an indicator on your given pair. It is primarily used as an indicator of longs/shorts as well as shorts/longs as a ratio to each other.
For example, you could plot BITFINEX:BTCUSDLONGS against BITFINEX:BTCUSDSHORTS.
It plots the ratio of longs/shorts or shorts/longs. For example:
If there are more longs than shorts open, the long ratio will be great than 1 with no upper limit.
If there are less longs than shorts open, the ratio will be less than 1 but greater than 0.
The same is true when comparing shorts to longs. You can choose to view Longs Ratio only, Shorts Ratio only, or Both.
This is useful to see how many more longs there are than shorts, and visa versa, at any given time interval. It does not take into consideration total volume of longs + shorts to get an absolute number, but rather a relative ratio to each other.
If there are many more positions open in one direction over the other, the ratio will rise higher and higher away from 1, which lets you know generally that there is a lot greater volume of that position open compared to its reverse.
If you found this script helpful please remember to FOLLOW and press LIKE!!
More useful scripts to come :-D
Universal Longs Vs. Shorts - Percentage (Any Symbol)Hello all my Trading View friends!!
This script allows you to choose ANY symbol and plot the ratio against ANY other symbol, as an indicator on your given pair. It is primarily used as an indicator of longs/shorts as well as shorts/longs as a percentage of total longs + shorts.
For example, you could plot BITFINEX:BTCUSDLONGS against BITFINEX:BTCUSDSHORTS.
It takes the ratio from an absolute 100%, rather than relative to each other. Therefore, each plot has a minimum of 0% and a maximum of 100%. You can choose to view Longs Percentage only, Shorts Percentage only, or Both.
This is useful to see what percentage of total positions are either long or short at any given time interval.
If you found this script helpful please remember to FOLLOW and press LIKE!!
NG [Simple Harmonic Oscillator]The SHO is a bounded oscillator for the simple harmonic index that calculates the period of the market’s cycle.
The oscillator is used for short and intermediate terms and moves within a range of -100 to 100 percent.
The SHO has overbought and oversold levels at +40 and -40, respectively.
At extreme periods, the oscillator may reach the levels of +60 and -60.
The zero level demonstrates an equilibrium between the periods of bulls and bears.
The SHO oscillates between +40 and -40.
The crossover at those levels creates buy and sell signals.
In an uptrend, the SHO fluctuates between 0 and +40 where the bulls are controlling the market.
On the contrary, the SHO fluctuates between 0 and -40 during downtrends where the bears controlthe market.
Reaching the extreme level -60 in an uptrend is a sign of weakness.
Force Index with Buy on Dip strategyThis charts has 2 indicators
1 - Force Index
This indicator is based on Dr Alexander Elder ForceIndex indicator with relate price to volume by multiplying net change and volume.
- GREEN Bar indicates Bull is in control
- RED Bar indicates Bear is in control.
LENGTH of the bar indicate the strength of Bull or Bear.
Normally there's potential BUY if the RED bar turned GREEN and SELL if GREEN to RED.
2 - Stochastic momentum
Stochastic momentum is to detect potential Reversal where BLUE bar will appear if :-
- Oversold - Stochastic less than 35
- Closing price is higher than last 2 High (Fast Turtle)
// Note : Best use with "EMA Indicators with BUY sell Signal"
Hersheys Volume Pressure v1Hersheys Volume Pressure gives you very nice confirmation of trend starts and stops using volume and price.
For up bars...
If you have a large price range with low volume, that's very bullish.
If you have a small price range with low volume, that's bullish.
For down bars...
If you have a large price range with low volume, that's very bearish.
If you have a small price range with low volume, that's bearish.
Look at the chart and you'll see how trends start and end with a PINCH and widen in the middle of the moves.
Hersheys Volume Pressure is unique, in that it measures bull/bear pressure on each bar by itself. Other volume indicators like On Balnce Volume and Price Volume Trend use cumulative differences in the current and previous bar to show trends.
You can set the moving average period, 14 is the default.
Good trading!
Brian Hershey
Murrey Math Extremes ComparatorHOW IT WORKS
Creates two murrey math oscillators (hidden) one with 256 length another with 32 length and compare each other.
WHAT GIVE ME THIS SCRIPT
The script can give you very valuable information:
- Main Trend
- Pullbacks detections
- Extreme overbought oversold prices alerts
- Divergences
- Any timeframe usage
REFERENCES OF USAGE
Main Trend Indications
****The main trend is indicated with green(bull) or red(bears) small "triangles" on the bottom(bull) or the top(bears) of the chart.
*****To detect the Bull/Bear major trend the script use 256 murrey, if > 0 (green) we are uptrend in other cases we are downtrend
Pullback detection
****The pullbacks are indicated with Green(bull) or red(bears) medium "Arrows"
*****To detect pullbacks the system compare the long term murrey with the short term murrey, if long term is Green(green triangles)
*****so we are in a main bull trend, if the short term murrey make an extreme low then the pullback is indicated
*****The same for the short pullback, if long term murrey is RED and we have an extreme green short term murrey we shot a red arrow
Extreme Overbught/Oversold
****The extreme OO is indicated with fancy diamonds
*****To detect the Extremes price movements we combine the two murrey, if Long Term Murrey is overbought and short term murrey too
*****Then the diamond show on the screen obove or below based on the extreme if overbought or oversold
Strategy Resume:
Triangles indicate Major Trend Up/Down
Arrows Indicate Continuation pullbacks
Diamonds Indicate Extreme Prices
GUIDE HOW TO IMAGES
How it's works Behind Scene
Indicators: Volume-Weighted MACD Histogram & Sentiment Zone OscVolume-Weighted MACD Histogram
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Volume-Weighted MACD Histogram, first discussed by Buff Dormeier, is a modified version of MACD study. It calculates volume-averaged Close price for finding the histogram.
More info:
www.moneyshow.com
Sentiment Zone Oscillator
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Sentiment Zone Oscillator, developed by Walid Khalil, is a complementing oscillator to VZO and PZO.
To quote Walid:
>> The sentiment zone oscillator (SZO) is a leading contrary oscillator that measures the extreme emotions of a single market or share.
>> It measures and defines both extremes, bullishness (overoptimism) and bearishness (overpessimism), that could lead to a change
>> in sentiment, eventually changing the trend of the time frame under study. The SZO was devised on the belief that after several waves
>> of rising prices, investors begin to get bullish on the stock with increasing confidence since the price has been rising for some time.
>> The SZO measures that bullishness/bearishness and marks overbought/oversold levels.
SZO has its own oversold/overbought bands. Also, when SZO goes above 7, it indicates extreme optimism. When the SZO goes below -7, it indicates extreme pessimism.
More info: www.traders.com
How to import / use custom indicators from this chart?
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PDF: drive.google.com
Multi Length Market Structure (BoS + ChoCh)█ OVERVIEW
The "Multi Length Market Structure (BoS + ChoCh)" indicator is a technical analysis tool that identifies key pivot points on the chart and signals market structure breaks (Break of Structure - BoS) and changes in market character (Change of Character - ChoCh). It is designed for traders employing market structure-based strategies, enabling the identification of critical support and resistance levels and potential trend reversal points. The indicator offers flexible pivot length settings, customizable colors, and labels, ensuring clarity and precision on the chart.
█ CONCEPTS
The indicator was developed to simplify the identification of changes in market structure, catering to both short-term and longer-term trading strategies. To this end, it simultaneously displays breakouts for four editable pivot lengths. The lengths represent the delay, measured in the number of candles, after which a pivot is recognized. Pivots with larger values are often turning points on higher timeframes, providing a broader view of the market.
Why are BoS and ChoCh important? A Break of Structure (BoS) indicates trend continuation when the price breaks a key level (e.g., a previous high or low). A Change of Character (ChoCh) signals a potential trend reversal when the price breaks a level in the opposite direction of the prior trend. These signals help traders identify moments when the market changes its dynamics, which is crucial for price action strategies.
█ FEATURES
- Pivot Detection: Identifies pivot points (highs and lows) based on four different pivot lengths (default: 5, 10, 15, 20), enabling market structure analysis with varying sensitivity.
- BoS and ChoCh Signals: Generates Break of Structure (BoS) signals in the form of triangles (green for bullish, red for bearish) and Change of Character (ChoCh) signals when the price breaks a key level in the opposite direction of the prior trend.
- Pivot Labels: Displays labels for highs (HH - Higher High, LH - Lower High) and lows (HL - Higher Low, LL - Lower Low) with the option to select which pivot to display them for.
- Customizable Colors and Styles: Allows configuration of colors for BoS and ChoCh signals and pivot labels.
- Alerts: Built-in alerts for BoS and ChoCh signals for each pivot length, including price and signal type descriptions.
█ HOW TO USE
Adding to the Chart: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configuring Settings:
- Pivot Lengths: Set four different pivot lengths (Pivot Length 1-4, default: 5, 10, 15, 20) to adjust the sensitivity of pivot detection. Shorter lengths are more sensitive, while longer lengths are more significant. If you want to use only one length, set all pivot lengths to the same value.
- Colors and Styles: Configure colors for BoS signals (green for bullish, red for bearish) and pivot labels.
- Labels: Enable/disable the display of HH/HL/LH/LL labels and choose which pivot to display them for (Pivot 1-4 or none).
- Signals: BoS and ChoCh signals are displayed as triangles (upward for bullish BoS, downward for bearish). Alerts can be configured for each signal type.
Interpreting Signals:
- Bullish BoS Signal: A green triangle below the candle indicates a breakout above a previous high, suggesting bullish trend continuation.
- Bearish BoS Signal: A red triangle above the candle indicates a breakout below a previous low, suggesting bearish trend continuation.
- Bullish ChoCh Signal: A green triangle after breaking a high in a downtrend indicates a potential reversal to bullish.
- Bearish ChoCh Signal: A red triangle after breaking a low in an uptrend indicates a potential reversal to bearish.
- Pivot Levels: Use pivot points as dynamic support and resistance levels. Levels from longer pivots carry greater significance.
Combine signals with other technical analysis tools, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze market structure on higher timeframes for stronger signals. Be particularly cautious when entering positions if RSI approaches overbought/oversold zones and divergences appear, as this may indicate a trend change.
█ APPLICATIONS
- Breakout Strategies: Trade based on BoS signals indicating trend continuation. A BoS signal after breaking a high in an uptrend may suggest a strong bullish impulse, especially when supported by a rising MACD.
- Reversal Strategies: ChoCh signals may indicate a potential trend reversal, particularly when confirmed by other indicators, such as RSI divergences or Fibonacci levels.
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps
A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation.
What is a Fair Value Gap
A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3.
Bullish FVG : low > high . This marks a bullish imbalance left beneath price.
Bearish FVG : high < low . This marks a bearish imbalance left above price.
These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs.
Why add momentum
Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill.
Core Features
Auto FVG Detection with size filters in percent of price.
Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red.
Bull and Bear Modes with independent toggles.
Extend Until Filled : keep drawing live to the right until price fully fills the gap.
Auto Remove Filled for a clean chart.
Optional Labels showing the smoothed RSI value stored at the gap’s birth.
RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought.
Performance Controls : cap how many FVGs to keep on chart.
Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs.
How it works
Source for Momentum : choose Returns, Close, or Volume.
Returns computes percent change over a short lookback to focus on impulse quality.
RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding.
Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price.
Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it.
Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately.
How to use it
Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop.
Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction.
Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance.
Choose your playbook :
Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context.
Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse.
Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price.
Two trade playbooks
Continuation - Buy the hold of a bullish FVG
Context uptrend.
A bullish FVG prints with strong RSI color.
Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap.
Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area.
Reversion - Fade a weak bearish FVG toward fill
Context range or fading trend.
A bearish FVG prints with weak RSI color near a completed move.
Price fails to accelerate lower and rotates back into the gap.
Enter toward mid-gap with confirmation.
Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials.
Key settings
Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday.
Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets.
RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability.
RSI Source :
Returns : most sensitive to true momentum bursts
Close : traditional.
Volume : uses raw volume impulses to judge footprint strength.
Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals.
Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes.
Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow.
Reading the chart
Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality.
Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality.
Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation.
Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed.
Workflow tips
Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias.
Increase Min FVG Size percent and RSI length for noisy symbols.
Use labels when learning to correlate the RSI numbers with your palette colors.
Combine with VWAP or moving averages for confluence at FVG edges.
If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing.
Alerts included
New Bullish FVG
New Bearish FVG
Bullish FVG Filled
Bearish FVG Filled
Extreme Oversold FVG - bullish
Extreme Overbought FVG - bearish
Practical defaults
RSI Length 14, Smooth 3, Source Returns.
Min FVG Size 0.25 percent on liquid majors.
Heatmap Style Gradient, Palette Viridis or Turbo for contrast.
Extend Unfilled on, Auto Remove on for a clean live map.
Notes
This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
AlgoWay GRSIM🧭 What this strategy tries to do
This strategy detects when a market move is losing strength and prepares for a potential reversal, but it waits for fresh momentum confirmation before acting.
It combines:
• RSI-based divergence (to spot exhaustion and potential turning points),
• Impulse MACD (to verify that the new direction actually has force behind it).
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⚙️ When it takes trades
Long (Buy):
• A bullish RSI divergence appears (a clue that selling pressure is fading);
• Within a short time window, the Impulse MACD turns strongly positive;
• Optionally, the impulse line itself must be rising (if the Impulse Direction Filter is
enabled).
Short (Sell):
• A bearish RSI divergence appears (buying pressure fading);
• Within a short time window, the Impulse MACD turns strongly negative;
• Optionally, the impulse line must be falling (if the Impulse Direction Filter is enabled).
If momentum confirmation happens too late, the divergence “expires” and the signal is ignored.
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🧩 How entries work
1. Reversal clue:
The strategy detects disagreement between price and RSI (price makes a new high/low, RSI doesn’t).
That suggests a shift in underlying strength.
2. Momentum confirmation:
Before entering, the Impulse MACD must agree — showing real push in the same direction.
3. Impulse direction filter (optional):
When enabled, the impulse itself must accelerate (rise for longs, fall for shorts), avoiding fake signals where price diverges but momentum is still fading.
4. No stacking:
It opens only one position at a time.
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🚪 How exits work
Two main exit styles:
Conservative (default):
Longs close when impulse crosses below its signal line.
Shorts close when impulse crosses above its signal line.
✅ Keeps trades as long as momentum agrees.
Color-change (fast):
Longs close immediately when impulse flips bearish.
Shorts close immediately when impulse flips bullish.
⚡ Faster and more defensive.
Plus:
Stop Loss (%) and Take Profit (%) act as fixed-distance protective exits (set to 0 to disable either one).
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📊 What you’ll see on the chart
A thick Impulse MACD line and thin signal line (oscillator view).
Diamonds — detected bullish/bearish divergence points.
Circles — where impulse crosses its signal (momentum change).
A performance panel (top-right) showing Net Profit, Trades, Win Rate, Profit Factor, Pessimistic PF, and Max Drawdown.
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🔧 What you can tune
Signal Lifetime (bars): how long a divergence remains valid.
Impulse Direction Filter: ensure the impulse itself is moving in the trade’s direction.
Stop Loss / Take Profit (%): risk and target in percent.
Exit Style: conservative cross or faster color-change.
RSI / MA / Signal Lengths: adjust responsiveness (defaults are balanced).
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💪 Strengths
Confirms reversals using momentum direction, not just divergence.
Avoids “early” signals where momentum is still fading.
Works symmetrically for longs and shorts.
Built-in stop/target protection.
Clear, visual confirmation of all logic components.
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⚠️ Things to keep in mind
In sideways markets, the impulse can flip often — prefer conservative exits.
Too small SL/TP → constant stop-outs.
Too wide SL/TP → deep drawdowns.
Always test with different timeframes and markets.
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💡 Practical tips
Start with default settings.
Enable “Use Impulse Direction Filter” in trending markets, disable it in very choppy ones.
Focus on Profit Factor, Win Rate, and Max Drawdown after several dozen trades.
Keep SL/TP roughly aligned with typical swing size.
“AlgoWay GRSIM” is a reversal-with-confirmation strategy: it spots likely turns, demands real momentum alignment (optionally verified by impulse direction), and manages exits with clear momentum cues plus built-in protective limits.
Volatility Channel Oscillator█ OVERVIEW
"Volatility Channel Oscillator" is a technical indicator that analyzes price volatility relative to dynamic price channels, displaying an oscillator, its moving average, and signals based on crossovers and divergences. The indicator offers customizable overbought and oversold levels, gradient visualization, and divergence detection, supported by alerts for key signals.
█ CONCEPTS
The VCO indicator creates dynamic price channels based on a moving average of the price (calculated as the arithmetic mean of the high and low prices: (high + low) / 2) and market volatility (measured as the average candle range and body size). These channels are not displayed on the chart but are used to calculate the oscillator value, which reflects the position of the closing price relative to the channel width, scaled to a range from -100 to +100, with the zero line as the central point. A moving average of the oscillator (SMA) smooths its values, enabling signals based on crossovers with the zero line or overbought/oversold levels. The indicator also detects divergences between price and the oscillator, which may indicate potential trend reversals. VCO is useful for identifying market momentum, reversal points, and trend confirmation, especially when combined with other technical analysis tools.
█ FEATURES
- Volatility Channels: Calculates invisible chart boundaries based on a simple moving average (SMA) of the price (high + low) / 2 and volatility (average candle range and body). The length parameter (default 30) sets the SMA length, and scale (default 200%) adjusts the channel width.
- Oscillator: Determines the oscillator value in the range of -100 to +100, indicating the closing price's position relative to the volatility channel. Displayed with dynamic coloring (green for positive values, red for negative).
- Oscillator Moving Average: A simple moving average (SMA) of the oscillator values, smoothing its movements. The signalLength parameter (default 20) defines the SMA length. Displayed in yellow with an optional gradient.
- Overbought/Oversold Levels: Configurable thresholds for the oscillator (overbought, default 50; oversold, default -50) and its moving average (maOverbought, default 30; maOversold, default -30), shown as horizontal lines with optional gradients. Band colors change dynamically (red for overbought, green for oversold, gray for neutral) based on the moving average's position relative to maOverbought/maOversold, reinforcing other signals.
- Divergences: Detects bullish (price forms a lower low, oscillator a higher low) and bearish (price forms a higher high, oscillator a lower high) divergences using pivots (pivotLength, default 2). Divergences are displayed with a delay equal to the pivot length; larger lengths increase reliability but delay signals. Use as additional confirmation.
Signals:
- Overbought/Oversold Crossovers: Green triangles (buy) when the oscillator crosses above the oversold level, red triangles (sell) when it crosses below the overbought level.
- Zero Line Crossovers: Buy/sell signals when the oscillator crosses the zero line upward (buy) or downward (sell).
- Moving Average Crossovers: Buy/sell signals when the oscillator's moving average crosses the zero line or the maOverbought/maOversold levels. Dynamic band color changes (red/green) at these crossovers reinforce other signals.
- Visualization: Gradient lines for the oscillator, its moving average, overbought/oversold levels, and zero line, with adjustable transparency. Gradient fill between the oscillator and zero line.
Divergence Labels: "Bull" (bullish) and "Bear" (bearish) labels with customizable color and transparency.
- Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero line crossovers by the oscillator and its moving average.
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- Channel and Oscillator Settings: Adjust the channel SMA length (length, default 30) and channel scaling (scale, default 200%). Increase scale for high-volatility markets.
- Threshold Levels: Set oscillator overbought (overbought, default 50) and oversold (oversold, default -50) levels, and moving average thresholds (maOverbought, default 30; maOversold, default -30).
- Divergence Settings: Enable/disable divergence detection (calculateDivergence) and set pivot length (pivotLength, default 2). Larger values increase reliability but delay signals.
- Signal Settings: Choose signal types (signalType): overbought/oversold, zero line, moving average, or all.
- Styling: Customize colors for the oscillator, moving average, horizontal levels, and divergence labels. Adjust gradient and fill transparency.
Interpreting Signals:
- Buy Signals: Green triangles below the bar when the oscillator or its moving average crosses above the oversold level or zero line.
- Sell Signals: Red triangles above the bar when the oscillator or its moving average crosses below the overbought level or zero line.
- Moving Average Signals: Green/red triangles when the moving average crosses maOverbought/maOversold levels, indicating potential reversals or trend continuation. Dynamic band color changes (red for overbought, green for oversold) at these crossovers reinforce other signals.
- Divergences: "Bull" (bullish) and "Bear" (bearish) labels indicate potential trend reversals with a delay based on pivot length. Use as confirmation.
- Overbought/Oversold Levels: Monitor price reactions in these zones as potential reversal points. Dynamic band color changes based on the moving average reinforce signals.
Signal Confirmation: Use VCO with other tools, such as pivot levels (for key turning points) or Fibonacci levels (for support/resistance zones).
█ APPLICATIONS
- Trend Trading: Zero line crossovers by the oscillator or its moving average identify momentum in uptrends or downtrends.
- Range Trading: Overbought/oversold levels help identify entry/exit points in sideways markets.
- Divergences: Use bullish/bearish divergences as additional confirmation of reversals, especially near key price levels.
- Trend Identification: To analyze trends over a longer perspective, increase the moving average length (signalLength) for more stable signals.
█ NOTES
- Test the indicator across different timeframes and markets to optimize parameters, such as length and scale, for your trading style.
- In strong trends, overbought/oversold levels may persist, requiring additional signal verification.
- Divergences are more reliable on higher timeframes (H4, D1), where market noise is reduced, but their delay requires caution.
- In low-liquidity markets, signals may be less effective, so use on high-liquidity assets is recommended.
Herd Flow Oscillator — Volume Distribution Herd Flow Oscillator — Scientific Volume Distribution (herd-accurate rev)
A composite order-flow oscillator designed to surface true herding behavior — not just random bursts of buying or selling.
It’s built to detect when market participants start acting together, showing persistent, one-sided activity that statistically breaks away from normal market randomness.
Unlike traditional volume or momentum indicators, this tool doesn’t just look for “who’s buying” or “who’s selling.”
It tries to quantify crowd behavior by blending multiple statistical tests that describe how collective sentiment and coordination unfold in price and volume dynamics.
What it shows
The Herd Flow Oscillator works as a multi-layer detector of crowd-driven flow in the market. It examines how signed volume (buy vs. sell pressure) evolves, how persistent it is, and whether those actions are unusually coordinated compared to random expectations.
HerdFlow Composite (z) — the main signal line, showing how statistically extreme the current herding pressure is.
When this crosses above or below your set thresholds, it suggests a high probability of collective buying or selling.
You can optionally reveal component panels for deeper insight into why herding is detected:
DVI (Directional Volume Imbalance): Measures the ratio of bullish vs. bearish volume.
If it’s strongly positive, more volume is hitting the ask (buying); if negative, more is hitting the bid (selling).
LSV-style Herd Index : Inspired by academic finance measures of “herding.”
It compares how often volume is buying vs. selling versus what would happen by random chance.
If the result is significantly above chance, it means traders are collectively biased in one direction.
O rder-Flow Persistence (ρ 1..K): Averages autocorrelation of signed volume over several lags.
In simpler terms: checks if buying/selling pressure tends to continue in the same direction across bars.
Positive persistence = ongoing coordination, not just isolated trades.
Runs-Test Herding (−Z) : Statistical test that checks how often trade direction flips.
When there are fewer direction changes than expected, it means trades are clustering — a hallmark of herd behavior.
Skew (signed volume): Measures whether signed volume is heavily tilted to one side.
A positive skew means more aggressive buying bursts; a negative skew means more intense selling bursts.
CVD Slope (z): Looks at the slope of the Cumulative Volume Delta — essentially how quickly buy/sell pressure is accelerating.
It’s a short-term flow acceleration measure.
Shapes & background
▲ “BH” at the bottom = Bull Herding; ▼ “BH-” at the top = Bear Herding.
These markers appear when all conditions align to confirm a herding regime.
Persistence and clustering both confirm coordinated downside flow.
Core Windows
Primary Window (N) — the main sample length for herding calculations.
It’s like the "memory span" for detecting coordinated behavior. A longer N means smoother, more reliable signals.
Short Window (Nshort) — used for short-term measurements like imbalance and slope.
Smaller values react faster but can be noisy; larger values are steadier but slower.
Long Window (Nlong) — used for z-score normalization (statistical scaling).
This helps the indicator understand what’s “normal” behavior over a longer horizon, so it can spot when things deviate too far.
Autocorr lags (acLags) — how many steps to check when measuring persistence.
Higher values (e.g., 3–5) look further back to see if trends are truly continuing.
Calculation Options
Price Proxy for Tick Rule — defines how to decide if a trade is “buy” or “sell.”
hlc3 (average of high, low, and close) works as a neutral, smooth price proxy.
Use ATR for scaling — keeps signals comparable across assets and timeframes by dividing by volatility (ATR).
Prevents high-volatility periods from dominating the signal.
Median Filter (bars) — smooths out erratic data spikes without heavily lagging the response.
Odd values like 3 or 5 work best.
Signal Thresholds
Composite z-threshold — determines how extreme behavior must be before it counts as “herding.”
Higher values = fewer, more confident signals.
Imbalance threshold — the minimum directional volume imbalance to trigger interest.
Plotting
Show component panels — useful for analysts and developers who want to inspect the math behind signals.
Fill strong herding zones — purely visual aid to highlight key periods of coordinated trading.
How to use it (practical tips)
Understand the purpose: This is not just a “buy/sell” tool.
It’s a behavioral detector that identifies when traders or algorithms start acting in the same direction.
Timeframe flexibility:
15m–1h: reveals short-term crowd shifts.
4h–1D: better for swing-trade context and institutional positioning.
Combine with structure or trend:
When HerdFlow confirms a bullish regime during a breakout or retest, it adds confidence.
Conversely, a bearish cluster at resistance may hint at a crowd-driven rejection.
Threshold tuning:
To make it more selective, increase zThr and imbThr.
To make it more sensitive, lower those thresholds but expand your primary window N for smoother results.
Cross-market consistency:
Keep “Use ATR for scaling” enabled to maintain consistency across different instruments or timeframes.
Denoising:
A small median filter (3–5 bars) removes flicker from volume spikes but still preserves the essential crowd patterns.
Reading the components (why signals fire)
Each sub-metric describes a unique “dimension” of crowd behavior:
DVI: how imbalanced buying vs selling is.
Herd Index: how biased that imbalance is compared to random expectation.
Persistence (ρ): how continuous those flows are.
Runs-Test: how clumped together trades are — clustering means the crowd’s acting in sync.
Skew: how lopsided the volume distribution is — sudden surges of one-sided aggression.
CVD Slope: how strongly accelerating the current directional flow is.
When all of these line up, you’re seeing evidence that market participants are collectively moving in the same direction — i.e., true herding.
Turtle Strategy - Triple EMA Trend with ADX and ATRDescription
The Triple EMA Trend strategy is a directional momentum system built on the alignment of three exponential moving averages and a strong ADX confirmation filter. It is designed to capture established trends while maintaining disciplined risk management through ATR-based stops and targets.
Core Logic
The system activates only under high-trend conditions, defined by the Average Directional Index (ADX) exceeding a configurable threshold (default: 43).
A bullish setup occurs when the short-term EMA is above the mid-term EMA, which in turn is above the long-term EMA, and price trades above the fastest EMA.
A bearish setup is the mirror condition.
Execution Rules
Entry:
• Long when ADX confirms trend strength and EMA alignment is bullish.
• Short when ADX confirms trend strength and EMA alignment is bearish.
Exit:
• Stop Loss: 1.8 × ATR below (for longs) or above (for shorts) the entry price.
• Take Profit: 3.3 × ATR in the direction of the trade.
Both parameters are configurable.
Additional Features
• Start/end date inputs for controlled backtesting.
• Selective activation of long or short trades.
• Built-in commission and position sizing (percent of equity).
• Full visual representation of EMAs, ADX, stop-loss, and target levels.
This strategy emphasizes clean trend participation, strict entry qualification, and consistent reward-to-risk structure. Ideal for swing or medium-term testing across trending assets.
RSI Divergence Screener [Pineify]RSI Divergence Screener
Key Features
Multi-symbol and multi-timeframe support for advanced market screening.
Real-time detection and visualization of bullish and bearish RSI divergences.
Seamless integration with core technical indicators and custom divergences.
Highly customizable parameters for precise adaptation to personal trading strategies.
Comprehensive screener table for swift asset comparison and analysis.
How It Works
The RSI Divergence Screener leverages the power of Relative Strength Index (RSI) to systematically track momentum shifts across cryptocurrencies and their respective timeframes. By monitoring both fast and slow RSI calculations, the screener isolates divergence signals—key reversal points that often precede major price moves.
The indicator calculates two RSI values for each selected asset: one with a short lookback (Fast RSI) and another with a longer period (Slow RSI).
It runs a comparative algorithm to find divergences—whenever Fast RSI deviates significantly from Slow RSI, it flags the signal as bullish or bearish.
All detected divergences are dynamically presented in a table view, allowing traders to scan symbols and timeframes for optimal trading setups.
Trading Ideas and Insights
Spot early momentum reversals and preempt major price swings via divergence signals.
Combine multiple symbols and timeframes for cross-market trending opportunities.
Identify high-probability scalping and swing trading setups informed by RSI divergence logic.
Quickly compare crypto asset strength and trend exhaustion across short and long-term horizons.
How Multiple Indicators Work Together
This screener’s edge lies in its synergistic use of multi-setting RSI calculations and customizable input groups.
The dual-RSI approach (Fast vs. Slow) isolates subtle trend shifts missed by traditional single-period RSI.
Safe and reliable divergences arise only when the mathematical difference between Fast RSI and Slow RSI meets predefined thresholds, minimizing false positives.
Divergences are contextualized using tailored color codes and backgrounds, rendering insights immediately actionable.
You can expand analysis with additional moving average filters or overlays for further confirmation.
Unique Aspects
First-of-its-kind screener dedicated solely to RSI divergence, designed especially for crypto volatility.
Efficient screening of up to eight assets and multiple timeframes in one compact dashboard.
Intuitive iconography, color logic, and table layouts optimized for rapid decision-making.
Advanced input group design for fine-tuning indicator settings per symbol, timeframe, and source.
How to Use
Select up to eight cryptocurrency symbols to screen for divergence signals.
Assign individual timeframes and source prices for each asset to customize analysis.
Set Fast RSI and Slow RSI lengths according to your preferred strategy (e.g., scalping, swing, or trend following).
Review the screener table: colored cells highlight actionable bullish (green) and bearish (red) divergences.
Confirm trade setups with additional indicators or price action for robust risk management.
Customization
Symbols: Choose any crypto pair or ticker for dynamic divergence tracking.
Timeframes: Scan across 1m, 5m, 10m, 30m, and more for full market coverage.
RSI lengths: Configure Fast and Slow RSI periods based on volatility and trading style.
Visuals: Tailor table colors, fonts, and alert backgrounds per your preference.
Conclusion
The RSI Divergence Screener is a versatile, original TradingView indicator that empowers traders to scan, compare, and act on divergence signals with speed and precision. Its multi-symbol design, robust logic, and extensive customization options set a new standard for market screening tools. Integrate it into your crypto trading process to capture actionable opportunities ahead of the crowd and optimize your technical analysis workflow.
Lorentzian Harmonic Flow - Temporal Market Dynamic Lorentzian Harmonic Flow - Temporal Market Dynamic (⚡LHF)
By: DskyzInvestments
What this is
LHF Pro is a research‑grade analytical instrument that models market time as a compressible medium , extracts directional flow in curved time using heavy‑tailed kernels, and consults a history‑based memory bank for context before synthesizing a final, bounded probabilistic score . It is not a mashup; each subsystem is mathematically coupled to a single clock (time dilation via gamma) and a single lens (Lorentzian heavy‑tailed weighting). This script is dense in logic (and therefore heavy) because it prioritizes rigor, interpretability, and visual clarity.
Intended use
Education and research. This tool expresses state recognition and regime context—not guarantees. It does not place orders. It is fully functional as published and contains no placeholders. Nothing herein is financial advice.
Why this is original and useful
Curved time: Markets do not move at a constant pace. LHF Pro computes a Lorentz‑style gamma (γ) from relative speed so its analytical windows contract when the tape accelerates and relax when it slows.
Heavy‑tailed lens: Lorentzian kernels weight information with fat tails to respect rare but consequential extremes (unlike Gaussian decay).
Memory of regimes: A K‑nearest‑neighbors engine works in a multi‑feature space using Lorentz kernels per dimension and exponential age fade , returning a memory bias (directional expectation) and assurance (confidence mass).
One ecosystem: Squeeze, TCI, flow, acceleration, and memory live on the same clock and blend into a single final_score —visualized and documented on the dashboard.
Cognitive map: A 2D heat map projects memory resonance by age and flow regime, making “where the past is speaking” visible.
Shadow portfolio metaphor: Neighbor outcomes act like tiny hypothetical positions whose weighted average forms an educational pressure gauge (no execution, purely didactic).
Mathematical framework (full transparency)
1) Returns, volatility, and speed‑of‑market
Log return: rₜ = ln(closeₜ / closeₜ₋₁)
Realized vol: rv = stdev(r, vol_len); vol‑of‑vol: burst = |rv − rv |
Speed‑of‑market (analog to c): c = c_multiplier × (EMA(rv) + 0.5 × EMA(burst) + ε)
2) Trend velocity and Lorentz gamma (time dilation)
Trend velocity: v = |close − close | / (vel_len × ATR)
Relative speed: v_rel = v / c
Gamma: γ = 1 / √(1 − v_rel²), stabilized by caps (e.g., ≤10)
Interpretation: γ > 1 compresses market time → use shorter effective windows.
3) Adaptive temporal scale
Adaptive length: L = base_len / γ^power (bounded for safety)
Harmonic horizons: Lₛ = L × short_ratio, Lₘ = L × mid_ratio, Lₗ = L × long_ratio
4) Lorentzian smoothing and Harmonic Flow
Kernel weight per lag i: wᵢ = 1 / (1 + (d/γ)²), d = i/L
Horizon baselines: lw_h = Σ wᵢ·price / Σ wᵢ
Z‑deviation: z_h = (close − lw_h)/ATR
Harmonic Flow (HFL): HFL = (w_short·zₛ + w_mid·zₘ + w_long·zₗ) / (w_short + w_mid + w_long)
5) Flow kinematics
Velocity: HFL_vel = HFL − HFL
Acceleration (curvature): HFL_acc = HFL − 2·HFL + HFL
6) Squeeze and temporal compression
Bollinger width vs Keltner width using L
Squeeze: BB_width < KC_width × squeeze_mult
Temporal Compression Index: TCI = base_len / L; TCI > 1 ⇒ compressed time
7) Entropy (regime complexity)
Shannon‑inspired proxy on |log returns| with numerical safeguards and smoothing. Higher entropy → more chaotic regime.
8) Memory bank and Lorentzian k‑NN
Feature vector (5D):
Outcomes stored: forward returns at H5, H13, H34
Per‑dimension similarity: k(Δ) = 1 / (1 + Δ²), weighted by user’s feature weights
Age fading: weight_age = mem_fade^age_bars
Neighbor score: sᵢ = similarityᵢ × weight_ageᵢ
Memory bias: mem_bias = Σ sᵢ·outcomeᵢ / Σ sᵢ
Assurance: mem_assurance = Σ sᵢ (confidence mass)
Normalization: mem_bias normalized by ATR and clamped into band
Shadow portfolio metaphor: neighbors behave like micro‑positions; their weighted net forward return becomes a continuous, adaptive expectation.
9) Blended score and breakout proxy
Blend factor: α_mem = 0.45 + 0.15 × (γ − 1)
Final score: final_score = (1−α_mem)·tanh(HFL / (flow_thr·1.5)) + α_mem·tanh(mem_bias_norm)
Breakout probability (bounded): energy = cap(TCI−1) + |HFL_acc|×k + cap(γ−1)×k + cap(mem_assurance)×k; breakout_prob = sigmoid(energy). Caps avoid runaway “100%” readings.
Inputs — every control, purpose, mechanics, and tuning
🔮 Lorentz Core
Auto‑Adapt (Vol/Entropy): On = L responds to γ and entropy (breathes with regime), Off = static testing.
Base Length: Calm‑market anchor horizon. Lower (21–28) for fast tapes; higher (55–89+) for slow.
Velocity Window (vel_len): Bars used in v. Shorter = more reactive γ; longer = steadier.
Volatility Window (vol_len): Bars used for rv/burst (c). Shorter = more sensitive c.
Speed‑of‑Market Multiplier (c_multiplier): Raises/lowers c. Lower values → easier γ spikes (more adaptation). Aim for strong trends to peak around γ ≈ 2–4.
Gamma Compression Power: Exponent of γ in L. <1 softens; >1 amplifies adaptation swings.
Max Kernel Span: Upper bound on smoothing loop (quality vs CPU).
🎼 Harmonic Flow
Short/Mid/Long Horizon Ratios: Partition L into fast/medium/slow views. Smaller short_ratio → faster reaction; larger long_ratio → sturdier bias.
Weights (w_short/w_mid/w_long): Governs HFL blend. Higher w_short → nimble; higher w_long → stable.
📈 Signals
Squeeze Strictness: Threshold for BB1 = compressed (coiled spring); <1 = dilated.
v/c: Relative speed; near 1 denotes extreme pacing. Diagnostic only.
Entropy: Regime complexity; high entropy suggests caution, smaller size, or waiting for order to return.
HFL: Curved‑time directional flow; sign and magnitude are the instantaneous bias.
HFL_acc: Curvature; spikes often accompany regime ignition post‑squeeze.
Mem Bias: Directional expectation from historical analogs (ATR‑normalized, bounded). Aligns or conflicts with HFL.
Assurance: Confidence mass from neighbors; higher → more reliable memory bias.
Squeeze: ON/RELEASE/OFF from BB
Breakdown or Buyable Dip? Pullback Depth Can HelpAs a common adage says, “the market doesn’t move in a straight line.” But when prices have fallen, it’s not always clear whether buying makes sense. That’s where today’s script may help.
Most traditional indicators judge movement based on price. That’s obviously important, but time can also be helpful. After all, there’s a big difference between probing a low from 2-3 weeks ago versus a low from months or even years in the past.
Pullback Depth clearly illustrates this by answering the question: “Today’s low is the lowest in how many bars?”
The resulting integer is plotted in a simple histogram. Values are always negative because bars with higher absolute values (meaning more negative, or further below zero) are potentially more bearish.
The study also has a maximum lookback period to avoid overwhelming the study with too many bars. Its default setting of 125 bars includes enough history to illustrate the trend.
The stock market’s recent run has seen only shallow pullbacks. Most dips have probed 1-2 weeks in the past, while Friday’s selloff only turned back the clock a month.
Consider two other previous moments.
First, the great bull run of 1995 saw only shallow pullbacks. (None exceeded 50 days.):
In contrast, early 2022 saw the S&P 500 test levels more than 100 candles into the past. It soon fell into an official “bear market:”
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Candle Body Break (M/W/D/4H/1H)v5# Candle Body Break (M/W/D/4H/1H) Multi-Timeframe Indicator
This indicator identifies and plots **Candle Body Breaks** across five key timeframes: Monthly (M), Weekly (W), Daily (D), 4-Hour (4H), and 1-Hour (1H).
## Core Logic: Candle Body Break
The core concept is a break in the swing high/low defined by the body of the previous counter-trend candle(s). It focuses purely on **closing price breaks** of remembered highs/lows established by full candle bodies (close > open or close < open).
1. **Remembering the Swing:**
* After a bullish break (upward trend), the indicator waits for the first **bearish (close < open) candle** to appear. This bearish candle's high (`rememberedHigh`) and low (`rememberedLow`) are saved as the **breakout level**.
* Subsequent bearish candles that make a new low update this saved level, continuously adjusting the level to the most significant recent resistance/support established by the body's range.
2. **Executing the Break:**
* **Bull Break (Long signal):** Occurs when a **bullish candle's closing price** exceeds the last remembered bearish high (`rememberedHigh`).
* **Bear Break (Short signal):** Occurs when a **bearish candle's closing price** falls below the last remembered bullish low (`rememberedLow_Bull`).
Once a break occurs, the memory is cleared, and the indicator waits for the next counter-trend candle to establish a new level.
## Features
* **Multi-Timeframe Analysis:** Displays break lines and labels for M, W, D, 4H, and 1H timeframes on any chart.
* **Timeframe Filtering:** Break lines are only shown for timeframes **equal to or higher** than the current chart timeframe (e.g., on a 4H chart, only 4H, D, W, and M breaks are displayed).
* **Candidate Lines (Dotted Green):** Plots the current potential breakout level (the remembered high/low) that must be broken to trigger the next signal.
* **Direction Table:** A table in the top right corner summarizes the latest break direction (⇧ Up / ⇩ Down) for all five timeframes. This can be optionally limited to the 4H chart only.
* **1H Alert:** Triggers an alert when a 1-Hour break is detected.
## Input Settings Translation (for Mod Compliance)
| English Input Text | Original Japanese Text |
| :--- | :--- |
| **Show Monthly Break Lines** | 月足ブレイクを描画する |
| **Show Weekly Break Lines** | 週足ブレイクを描画する |
| **Show Daily Break Lines** | 日足ブレイクを描画する |
| **Show 4-Hour Break Lines** | 4時間足ブレイクを描画する |
| **Show 1-Hour Break Lines** | 1時間足ブレイクを描画する |
| **Show Monthly Candidate Lines** | 月足ブレイク候補ラインを描画する |
| **Show Weekly Candidate Lines** | 週足ブレイク候補ラインを描画する |
| **Show Daily Candidate Lines** | 日足ブレイク候補ラインを描画する |
| **Show 4-Hour Candidate Lines** | 4時間足ブレイク候補ラインを描画する |
| **Show 1-Hour Candidate Lines** | 1時間足ブレイク候補ラインを描画する |
| **Show Only Current TF Candidate Lines** | チャート時間足の候補ラインのみ表示 |
| **Show Table Only on 4H Chart** | テーブルを4Hチャートのみ表示 |
*Please note: The default alert message "1-Hour Break Detected" is also in English.*
※日本語訳
ろうそく足実体ブレイク（M/W/D/4H/1H）マルチタイムフレーム・インジケーター（日本語訳）
このインジケーターは、月足（M）、週足（W）、日足（D）、4時間足（4H）、1時間足（1H）の5つの主要な時間足におけるろうそく足実体ブレイクを検出し、プロットします。
コアロジック：ろうそく足実体ブレイク
このロジックの中核は、直近の**逆行ろうそく足（カウンター・トレンド・キャンドル）**の実体によって定義されたスイングの高値/安値のブレイクです。終値が実体のレンジ外で確定することを純粋に追跡します。
スイングの記憶（Remembering the Swing）:
強気のブレイク（上昇トレンド）の後、インジケーターは最初に現れる弱気（終値＜始値）のろうそく足を待ちます。この弱気ろうそく足の高値（rememberedHigh）と安値（rememberedLow）が、ブレイクアウトレベルとして保存されます。
その後、安値を更新する弱気ろうそく足が続いた場合、この保存されたレベルが更新され、実体のレンジによって確立された最新の重要なレジスタンス/サポートにレベルが継続的に調整されます。
ブレイクの実行（Executing the Break）:
ブルブレイク（買いシグナル）: 最後に記憶された弱気ろうそく足の高値（rememberedHigh）を、強気ろうそく足の終値が上回ったときに発生します。
ベアブレイク（売りシグナル）: 最後に記憶された強気ろうそく足の安値（rememberedLow_Bull）を、弱気ろうそく足の終値が下回ったときに発生します。
一度ブレイクが発生すると、記憶されたレベルはクリアされ、インジケーターは次の逆行ろうそく足が出現し、新しいレベルを確立するのを待ちます。
機能
マルチタイムフレーム分析: 現在のチャートの時間足に関わらず、M、W、D、4H、1Hのブレイクラインとラベルを表示します。
時間足フィルタリング: ブレイクラインは、現在のチャート時間足と同じか、それよりも上位の時間足のもののみが表示されます（例：4時間足チャートでは、4H、D、W、Mのブレイクのみが表示されます）。
候補ライン（緑の点線）: 次のシグナルをトリガーするためにブレイクされる必要がある、現在の潜在的なブレイクアウトレベル（記憶された高値/安値）をプロットします。
方向テーブル: 右上隅のテーブルに、5つの全時間足の最新のブレイク方向（⇧ 上昇 / ⇩ 下降）をまとめて表示します。これは、オプションで4時間足チャートのみに表示するように制限できます。
1時間足アラート: 1時間足のブレイクが検出されたときにアラートをトリガーします。
入力設定の翻訳
コード内の入力設定（UIテキスト）の日本語訳は以下の通りです。
英語の入力テキスト 日本語訳
Show Monthly Break Lines 月足ブレイクを描画する
Show Weekly Break Lines 週足ブレイクを描画する
Show Daily Break Lines 日足ブレイクを描画する
Show 4-Hour Break Lines 4時間足ブレイクを描画する
Show 1-Hour Break Lines 1時間足ブレイクを描画する
Show Monthly Candidate Lines 月足ブレイク候補ラインを描画する
Show Weekly Candidate Lines 週足ブレイク候補ラインを描画する
Show Daily Candidate Lines 日足ブレイク候補ラインを描画する
Show 4-Hour Candidate Lines 4時間足ブレイク候補ラインを描画する
Show 1-Hour Candidate Lines 1時間足ブレイク候補ラインを描画する
Show Only Current TF Candidate Lines チャート時間足の候補ラインのみ表示
Show Table Only on 4H Chart テーブルを4Hチャートのみ表示
Alert Message: 1-Hour Break Detected アラートメッセージ: 1時間足ブレイク発生
Measured Pattern Move (Bulkowski) [SS]Hey everyone,
This is the Measured Pattern Move using Bulkowski's process for measured move calculation.
What the indicator does:
The indicator has the associated measured move across 20 of the most common and frequent Bulkowski patterns, including:
Double Bottom / Adam Eve Bottom
Double Top / Adam Eve Top
Inverse Head and Shoulders
Bear Flag
Bull Flag
Horn Bottom
Horon Top
Broadening Top
Descending Broadening Wedge
Broadening Bottoms
Broadening Tops
Cup and Handle
Inverted cup and handle
Diamond Bottom
Diamond Top
Falling Wedge
Rising Wedge
Pipe Bottom
Pipe Top
Head and Shoulders
It will calculate the measured move according to the Bulkowski process.
What is the Bulkowski Process?
Each move has an associated continuation percentage, which Bulkowski has studied, analyzed and concluded statistically.
For example, Double tops have a continuation percent of 54%. Bear flags, 47%. These are "constants" that are associated with the pattern.
Bulkowski applies them to the daily, but how I have formulated this, it can be used on all timeframes, and with the constant, it will correctly calculate the measured move of the pattern.
What this indicator DOES NOT DO
This indicator will not identify the pattern for you.
I tried this using Dynamic Time Warping (DTW) using my own pre-trained Bulkowski model in R. I was successfully able to get Pinescript to calculate DTW which was amazing! But applying it to all these patterns actually went over the execution time limit, which is understandable.
As such, you will need to identify the pattern yourself, then use this indicator to hilight the pattern and it will calculate the measured move based on the constant and the pattern range.
Let's look at some examples:
Use examples
Double bottom / adam eve bottom on SPY on the 1-Minute chart
Adam and Eve Double Bottom QQQ 1-Hour Chart
Adam Eve Double Bottom MSFT Daily Chart
Bearish Head and Shoulders Pattern MSFT Daily
You get the point.
How to use the indicator
To use the indicator, identify the pattern of interest to you.
Then, highlight the pattern using the indicator (it will ask you to select start time of the pattern and end time of the pattern). The indicator will then highlight the pattern and calculate the measured move, as seen in the examples above.
Best approaches
To make the most of the indicator, its best to draw out your pattern and wait for an actual break, the point of the break is usually the end of the pattern formation.
From here, you will then apply this indicator to calculate the expected up or down move.
Let me show you an example:
Here we see CME_MINI:ES1! has made an Adam bottom pattern. We know the Eve should be forming soon and it indeed does:
We mark the top of the pattern like so:
Then we use our Measured move indicator to calculate the measured move:
Measured move here for CME_MINI:ES1! is 6,510.
Now let's see....
Voila!
Selecting the Pattern
After you highlight the selected pattern, in the indicator settings, simply select the type of pattern it is, for example "head and shoulders" or "Broadening wedge", etc.
The indicator will then adjust its measurements to the appropriate constant and direction.
Concluding remarks
That is the indicator!
It is helpful for determining the actual projected move of a pattern on breakout.
Remember, it does not find the pattern for you , you are responsible for identifying the pattern. But this will calculate the actual TP of the pattern for you, without you having to do your own calculations.
I hope you find it useful, I actually use this indicator every day, especially on the lower timeframes!
And you will find, the more you use it, the better you get at recognizing significant patterns!
If you are not aware of these patterns, Bulkowski lists all of this information freely accessible on his website. I cannot link it here but you can just Google him and he has graciously made his information public and free!
That's it, I hope you enjoy and safe trades!
Disclaimer
This is not my intellectual property. The pattern calculations come from the work of Thomas Bulkowski and not myself. I simply coded this into an indicator using his publicly accessible information.
You can get more information from Bulkowski's official website about his work and patterns.
Optimum EMAs x3Function Review
Optimum EMAs x3 scores EMA-price reactions via bullish/bearish percentages. Plots test (purple), bull/bear fast/medium/slow EMAs with toggles/individual colors, three adjustable gradient fills, and reaction table for multi-band analysis.
Usage Write-Up
Set fast (5-15), medium (10-20), slow (15-30) ranges per strategy. Test values via Test EMA for peak scores. Input optima to bull/bear fast/medium/slow for reactive three-band envelope (bullish supports, bearish resistances), refining signals in varied trends.
