Advanced Bar Counter with HTF HighlightsAdvanced Bar Counter with HTF Highlights is a session-aware bar-counting indicator purpose-built for futures traders, particularly ES and NQ scalpers working on the 1-minute and 5-minute charts. It helps traders monitor higher-timeframe candle closures, developing market structure, and their position within the current session without repeatedly switching away from the lower timeframe.
The indicator places numbered labels beneath selected bars, with counting anchored to a user-defined regular trading hours (RTH) open. Electronic trading hours (ETH) can also be counted as a separate session when enabled.
Default behavior
In Auto counting mode:
• On a 5-minute chart, the first bar and every third bar are labeled. Each third bar represents the closing bar of a 15-minute interval.
• On a 1-minute chart, the first bar and every fifth bar are labeled. Each fifth bar represents the closing bar of a 5-minute interval.
This alignment makes it easier to identify when an important higher-timeframe interval is completing while continuing to analyze price action on the lower timeframe.
By default, the indicator displays only on the 1-minute and 5-minute timeframes. An optional setting allows it to appear on other timeframes.
Higher-timeframe highlights
A defining feature of this indicator is its ability to display session-aligned 15-minute, 30-minute, and 1-hour closing bars in separate, customizable colors.
These highlights are calculated from the number of minutes elapsed since the configured session open. This keeps the corresponding closing bars synchronized when switching between the 1-minute and 5-minute charts. When multiple intervals end on the same bar, the enabled higher-timeframe highlight takes priority.
For example:
• On a 1-minute chart, a trader can recognize when the current bar will also complete a 5-minute, 15-minute, 30-minute, or 1-hour interval.
• On a 5-minute chart, a trader can recognize when the current bar will also complete a 15-minute, 30-minute, or 1-hour interval.
The 15-minute highlight is automatically suppressed when every displayed label already represents a 15-minute boundary, as occurs with the default counting mode on a 5-minute chart. This prevents every label from receiving the same highlight and preserves the usefulness of the color hierarchy.
How it can be used
The bar counts and higher-timeframe highlights provide timing and structural context; they do not generate trade signals.
A lower-timeframe trader can use this information to observe how a higher-timeframe candle is completing. For example, a 1-minute trader may notice that the final bar of a 5-minute interval is closing near its high, while a 5-minute trader may observe the same behavior as a 15-minute interval completes. The same principle can be applied to the highlighted 30-minute and 1-hour boundaries.
This workflow is inspired by price-action concepts popularized by Al Brooks, including attention to candle closes, momentum, and alignment across timeframes. The information is intended to support discretionary entry refinement by helping traders evaluate whether lower-timeframe price action agrees with the developing higher-timeframe structure and momentum regime.
Settings
Users can customize:
• Automatic, odd-bar, every-third-bar, or every-fifth-bar counting
• RTH and ETH opening times
• Chart timezone
• Whether ETH bars are counted
• Visibility on timeframes other than 1 minute and 5 minutes
• 15-minute, 30-minute, and 1-hour highlights
• Highlight and default label colors
• Label size
• ATR-based or tick-based label spacing
The chart timezone setting should match the timezone selected on the PulseWire chart. The configured RTH and ETH opening times must also correspond to the intended futures session. Incorrect session or timezone settings will cause the counts and interval highlights to be misaligned.
Important notes
This indicator is a visual timing and session-orientation tool. It does not predict price direction, assess trade quality, place orders, or provide buy and sell signals. Higher-timeframe highlighting identifies interval boundaries only; traders must interpret the associated price action in the context of their own methodology and risk-management rules. Indicator
Turtle Soup Reversal Map [AGPro Series]Turtle Soup Reversal Map
🔹 Overview
Turtle Soup Reversal Map is a mean-reversion pattern detector inspired by Linda Raschke's classic "Turtle Soup" setup — a counter-attack on failed 20-bar breakouts. When price pierces a multi-bar extreme and then closes back inside the prior range, institutional traders often interpret it as trapped breakout participants being flushed. This script automates the detection, qualifies each setup with a transparent 0–100 score, and projects a reference target alongside an auto-resolving rejection zone. It is designed for traders who want a disciplined, rule-based way to spot failed breakouts without drawing them manually.
🔹 Unique Edge
Unlike generic liquidity-sweep or wick-rejection indicators, Turtle Soup Reversal Map is built around Raschke's specific 20-bar-extreme rule — a pattern with decades of documented performance in swing-trading literature. Three characteristics separate it from similar tools:
• Strict N-bar-extreme definition (not a simple swing-high/low fade). Price must violate the exact prior-lookback extreme, not just a minor pivot.
• Five-component adaptive quality score — wick rejection, volume spike, overshoot magnitude, higher-timeframe trend alignment, and key-level proximity. Each component is a transparent weighted contribution, with clear A+ / A / B / C grades.
• Full lifecycle state engine — Pending → Fired → Target/Stop/Invalidated. Setups that do not confirm within their window are auto-invalidated (not left hanging), and live win-rate plus average R-multiple are tracked over the most recent resolved setups.
🔹 Methodology
The script continuously monitors for price piercing the highest high or lowest low of the prior N bars (default 20, range 10–50). When a sweep occurs, a Pending setup is created. Confirmation is then evaluated in one of two user-selectable modes:
• Same-Bar Close — the violating bar must close back inside the prior range on the same bar (faster, more signals).
• Next-Bar Close — Raschke's original specification; the next bar must close back inside the prior range (slower, higher reliability).
If confirmation fires, the setup becomes Fired and a reference target is projected from the confirmation close (default 2.5 × ATR(14)). Stop is placed at the sweep extreme plus a configurable ATR buffer. Setups that fail to confirm within their window, or where price overshoots the stop before confirmation, are automatically invalidated.
The quality score blends: wick-to-range ratio at the extreme bar, relative volume spike versus its 20-bar average, overshoot magnitude (ATR-normalized with a sweet-spot curve), counter-trend alignment against a user-defined higher timeframe, and proximity to round numbers or recent pivot levels.
🔹 Signals & Alerts
The script produces three alert types, all configurable:
• Pending — sweep detected, awaiting confirmation.
• Fired — confirmation closed back inside prior range.
• Invalidated — setup dismissed due to overshoot or window timeout.
Each alert message includes direction (Bull/Bear), current grade, ticker, and timeframe. Fired setups are visualized with a labeled confirmation marker, a dashed target-projection line, a dotted stop-reference line, and an auto-closing rejection zone. Labels display the Soup-Bull / Soup-Bear name, grade, and numeric score.
🔹 Key Inputs
• Lookback Bars — size of the extreme window (default 20, range 10–50).
• Confirmation Mode — Same-Bar Close or Next-Bar Close.
• Invalidation Distance (ATR) — stop buffer beyond the sweep extreme (default 0.5).
• Target Projection (ATR) — reference reversal target distance from entry (default 2.5).
• Quality Score Components — each of the five score components can be toggled independently for custom configurations.
• HTF for Trend — higher timeframe used for the trend-alignment component (default 240 min).
• Stats Sample Size — rolling window of resolved setups used for win-rate and average reward metrics (default 30).
• Visual & Panel Options — zones, lines, labels, target projection, panel location, font sizes, and per-element toggles.
🔹 How to Use
1. Apply to any liquid instrument and timeframe. The pattern's rule set is symbol-agnostic but performs differently across assets — review the live Win Rate and Avg Reward metrics in the panel to calibrate expectations.
2. Watch the Status field in the panel. Idle means no active setup; Pending Bull/Bear means a sweep has occurred and the script is waiting for confirmation; Fired Bull/Bear means confirmation closed and a target has been projected.
3. Filter setups by grade. A+ and A setups have stronger confluence — particularly wick rejection, volume, and HTF alignment. B setups are acceptable under favorable market regimes; C grades are educational only.
4. Treat the target projection as a reference, not a trade instruction. The stop reference line marks where the structural invalidation lies. Always combine with your own risk management.
5. The historical Win Rate is computed over the last N resolved setups on the current chart; it reflects the pattern's fit with the current symbol and timeframe, not a guarantee.
🔹 Limitations & Transparency
This indicator identifies historical setups algorithmically. It does not predict future price movement, and no indicator does. Turtle Soup is a counter-trend mean-reversion pattern — in strong trending regimes, false signals increase; in consolidation and range-bound conditions, it performs best. The displayed Win Rate and Avg Reward are historical, rolling, chart-dependent, and should not be interpreted as future expectations. Target and stop references are geometric projections based on ATR, not optimized parameters.
🔹 Risk Disclosure
This script is a technical analysis tool for educational and research purposes. It is not a trading strategy, not a recommendation, and not financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. Trade at your own risk. Indicator
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Candle Counter by ComLucro - Multi-Timefram - 2025_V01Candle Counter by ComLucro - Multi-Timeframe - 2025_V01
The Candle Counter by ComLucro - Multi-Timeframe is a highly customizable tool designed to help traders monitor the number of candles across various timeframes directly on their charts. Whether you're analyzing trends or tracking specific market behaviors, this indicator provides a seamless and efficient way to enhance your technical analysis.
Key Features:
Flexible Timeframe Selection: Track candle counts on yearly, monthly, weekly, daily, or hourly intervals to suit your trading style.
Dynamic Label Positioning: Choose to display labels above or below candles, offering greater control over your chart layout.
Customizable Colors: Adjust label text colors to match your chart's aesthetics and improve visibility.
Clean and Organized Visualization: Automatically generates labels for each candle without overcrowding your chart.
How It Works:
Select a Timeframe: Choose from yearly, monthly, weekly, daily, or hourly intervals based on your analysis needs.
Automatic Counting: The indicator calculates and displays the number of candles for the selected period directly on your chart.
Label Customization: Adjust the position (above or below the candles) and color of the labels to align with your preferences.
Why Use This Indicator?
This script is perfect for traders who need a clear and visual representation of candle counts in specific timeframes. Whether you're monitoring trends, evaluating price action, or developing strategies, the Candle Counter by ComLucro adapts to your needs and helps you make informed decisions.
Disclaimer:
This script is intended for educational and informational purposes only. It does not constitute financial advice. Always practice responsible trading and ensure this tool aligns with your strategies and risk management practices.
About ComLucro:
ComLucro is dedicated to providing traders with practical tools and educational resources to improve decision-making in the financial markets. Discover other scripts and strategies developed to enhance your trading experience. Indicator
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Threshold counterOVERVIEW
The "Threshold Counter" is a tool for quantifying occurrences of closing prices of an asset that align with specified criteria and is a flexible and visual approach to studying price action.
A user-definable target threshold can be set and a comparator (<, =, >, and so on) can be selected. The indicator counts values on the main chart meeting these conditions, over a user-defined `lookback` period.
KEY FEATURES
User definable threshold: target value with optional upper bound can be specified
Versatile Comparisons: Choose from "=", ">=", ">", "<=", "<", "between", and "between (inclusive)" for diverse analysis.
Historical Analysis: Assess occurrences over a customisable period.
Visual Representation: Displays instances graphically on the chart with customisable colours.
Summary: Provides a summary label for a quick understanding of the analysed data.
USE-CASES
Pattern Recognition: Identify patterns or trends based on user-defined price criteria.
Threshold Analysis: Quantify occurrences of prices crossing or staying within a specified range.
Strategy Testing: Evaluate historical performance of strategies relying on specific price conditions.
Behavioural Insights: Gain insights into price behaviour by counting occurrences of interest.
The "Threshold Counter" indicator offers a flexible and visual approach to studying price action, which may aid in making decisions based on historical data.
IMPORTANT CONSIDERATIONS
Period selection: The effectiveness of the analysis may be influenced by the choice of the lookback period. Consider an appropriate duration based on the strategy or pattern being analysed.
Comparator Selection: Comparison operator selection will obviously affect the results. There are two range operators of `between` and `between (inclusive)`. The latter will add closing prices that exactly meet the threshold and upper bound. The former does not.
Visualisation: Interpretation of the visual representation is colour-coded.
Red is threshold condition is not met.
Green is threshold condition is met.
Aqua is outside of the lookback period.
User Discretion: This script relies on historical data and should be used with caution. Past performance is not indicative of future results.
Supplementary Analysis: Trading decisions should not rely solely on this script. Users should exercise judgment and consider market conditions.
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Period Candle CounterThis is a very simple utility indicator.
Shockingly nothing similar was available and I really needed something to quickly count period lengths by candles (to make adjustments to indicators based on a desired lookback timeframe), so I created this.
I thought I would share it because chances are if I needed something like this, other people may need it, too.
What it does:
Its really simple and this really truly is just a utility indicator that gives you raw information to make adjustments to other indicators. It just counts the number of candles in a user defined period of time.
It will count the number of red candles, green candles and then display the total candle count.
It will also display in percent (i.e. 52% green candles vs 48% red candles, etc.).
Its point and click, so once launched you just click the area you want to start the count and click the area you want to end the count.
Purpose:
Personally, I use it to make adjustments to timeframe lengths on indicators that look at averages and also on my time series indicator. If I want the price average or range for a specific period in time (say, the past 1.5 days of an uptrend), I will use this to count the candles in that period so that I can manually adjust whichever indicator to the correct lookback length, as most indicators are adjusted by candle length (i.e. 1 candle, 2 candles, 3 candles, etc.)
And that's it, pretty straight forward. Honestly pretty boring but its actually really pivotal for me to make adjustments to certain indicators.
Hope you find it helpful, too!
Safe trades! Indicator
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FunctionPatternFrequencyLibrary "FunctionPatternFrequency"
Counts the word or integer number pattern frequency on a array.
reference:
rosettacode.org
count(pattern)
counts the number a pattern is repeated.
Parameters:
pattern : : array : array with patterns to be counted.
Returns:
array : list of unique patterns.
array : list of counters per pattern.
usage:
count(array.from('a','b','c','a','b','a'))
count(pattern)
counts the number a pattern is repeated.
Parameters:
pattern : : array : array with patterns to be counted.
Returns:
array : list of unique patterns.
array : list of counters per pattern.
usage:
count(array.from(1,2,3,1,2,1)) Library
EMA bands + leledc + bollinger bands trend following strategy v2The basics:
In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively.
The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band).
This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below.
As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength.
Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies.
The goods:
Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits.
"Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed
"Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing.
"Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings.
"Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones.
If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong.
Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades.
The deadly:
The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest.
There are two ways I've found best to use counter-trend trades
1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk.
2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side).
This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss.
The niche:
I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time.
Disclaimer:
This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below! Strategy
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Katana Gaps Bounty Hunter (Show Gaps Counter) by RRBKatana Gaps Bounty Hunter (KGB_Hunter) by RagingRocketBull 2018
Version 1.0
This indicator shows/counts/filters gaps on a chart
There are several versions: Simple, Pro and Zones. This is the Simple version. The Differences are listed below.
- Simple: shows/counts gaps, changes color based on gap dir (2 colors), filters out price gaps within session, large gaps, and high volume gaps
- Pro: +shows all types of gaps, multi color, more filters (time gaps, doji, etc)
- Zones: +shows gaps as dynamic horiz zones
Features:
- highlights gaps using barcolor and plotchar chars (2 colors x 2 dirs)
- can show/hide gaps/chars based on gap dir
- changes color of gaps/chars based on gap dir
- displays chars above/below bar based on gap dir
- can filter out price gaps, large gaps, and high volume gaps
- counts all filtered gaps
Good Luck! Feel free to reuse the code and make it your own Indicator
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