ConcatenatedAlertsHi all!
This library is useful if you want to concatenate every tick alert for sending on bar close. The 'alert()' function, provided by Tradingview, with the 'freq' parameter set to 'alert.freq_once_per_bar_close' only fires when the realtime bar closes. So if something has happened intrabar, the alert wont be sent.
This library concatenates all alert messages during the bar and sends them on bar close with a header saying how many messages it contains.
It's useful in many cases, but here are a few examples:
When you want alerts for a zone having a breakout (with a candle close) and another one being entered, like this:
When a candle breaks through 2, or more, lines. Like in this example:
There are of course more useful use cases, but above is 2 examples.
The library uses an own enum saying 'alert.freq_all', 'alert.freq_once_per_bar' and 'alert.freq_once_per_bar_close'. The value of this enumeration represents how often an alert will be sent. 'alert.freq_all' and 'alert.freq_once_per_bar' will behave as the once in the 'alert()' function provided by Tradingview. No concatenatination will take place in this case. However, when 'alert.freq_once_per_bar_close' is set, concatenatination will happen with all alert messages during the bar and sent on bar close. Helper functions can be used for both the string value used by the 'alert()' function by Tradingview and this enum type. Example code is provided in the source code, with the usage of input values for both this string and the enumeration.
Hope this is of help!
Concatenate(a_lert, message)
Concatenates all alert messages (called on every tick) to fire all of them with 'Alert()'.
Parameters:
a_lert (Alert) : The 'Alert' object to be used for the alert messages concatination.
message (string) : The string message to be added to the bar alert.
Alert(a_lert)
When the 'Alert.Frequency' is set to fire on the current tick, this function will concatenate all messages on the current bar and fire an alert. Concatenation will occur if 'alert.freq_once_per_bar_close' is set on 'a_lert.Frequency' separated by new lines and a header saying how many messages the bar contains.
Parameters:
a_lert (Alert) : The 'Alert' object to be used for the alert messages concatination and all its 'Messages' will be alerted.
Create(frequency)
Helper function to create an 'Alert' object.
Parameters:
frequency (series Frequency) : The 'Frequency' in the created 'Alert' object.
Returns: The 'Alert' object that can be used for concatination.
CreateFromAlertFreq(alertFreq)
Helper function to convert 'alert.freq_all', 'alert.freq_once_per_bar' or 'lert.freq_once_per_bar_close'.
Parameters:
alertFreq (string) : The 'alert.freq_all', 'alert.freq_once_per_bar' or 'lert.freq_once_per_bar_close' to convert to 'Frequency' enum.
Returns: The 'Alert' object that can be used for concatination.
Alert
Holds all the values for the 'Alert' to be used.
Fields:
Messages (array) : Holds the alert messages within the current bar that will be sent according to 'Frequency'.
Frequency (series Frequency) : The frequency for the final alert. One of 'alert.freq_all', 'alert.freq_once_per_bar' or 'alert.freq_once_per_bar_close'. If 'alert.freq_all' is set the alert messages will be fired on each tick and no concatination will occure. The same when 'alert.freq_once_per_bar' is set, but the alert will only fire once per bar. If 'alert.freq_once_per_bar_close' is set concatenation will occure before sending an alert (with all concatenated messages) on bar close.
SkipAddition (series bool) : Will skip addition of messages. Used internally if 'Frequency' is 'alert.freq_once_per_bar'.
指標和策略
Multi-Timeframe Bollinger Band PositionBeta version.
My hope is to optimize the settings for this indicator and reintroduce it as a "strategy" with suggested position entry and exit points shown in the price pane.
Any feedback is appreciated.
Overview
This indicator is an oscillator that measures the normalized position of the price relative to Bollinger Bands across multiple timeframes. It takes the price's position within the Bollinger Bands (calculated on different timeframes) and averages those positions to create a single value that oscillates between 0 and 1. This value is then plotted as the oscillator, with reference lines and colored regions to help interpret the price's relative strength or weakness.
How It Works
Bollinger Band Calculation:
The indicator uses a custom function f_getBBPosition() to calculate the position of the price within Bollinger Bands for a given timeframe.
Price Position Normalization:
For each timeframe, the function normalizes the price's position between the upper and lower Bollinger Bands.
It calculates three positions based on the high, low, and close prices of the requested timeframe:
pos_high = (High - Lower Band) / (Upper Band - Lower Band)
pos_low = (Low - Lower Band) / (Upper Band - Lower Band)
pos_close = (Close - Lower Band) / (Upper Band - Lower Band)
If the upper band is not greater than the lower band or if the data is invalid (e.g., na), it defaults to 0.5 (the midline).
The average of these three positions (avg_pos) represents the normalized position for that timeframe, ranging from 0 (at the lower band) to 1 (at the upper band).
Multi-Timeframe Averaging:
The indicator fetches Bollinger Band data from four customizable timeframes (default: 30min, 60min, 240min, daily) using request.security() with lookahead=barmerge.lookahead_on to get the latest available data.
It calculates the normalized position (pos1, pos2, pos3, pos4) for each timeframe using f_getBBPosition().
These four positions are then averaged to produce the final avg_position:avg_position = (pos1 + pos2 + pos3 + pos4) / 4
This average is the oscillator value, which is plotted and typically oscillates between 0 and 1.
Moving Averages:
Two optional moving averages (MA1 and MA2) of the avg_position can be enabled, calculated using simple moving averages (ta.sma) with customizable lengths (default: 5 and 10).
These can be potentially used for MA crossover strategies.
What Is Being Averaged?
The oscillator (avg_position) is the average of the normalized price positions within the Bollinger Bands across the four selected timeframes. Specifically:It averages the avg_pos values (pos1, pos2, pos3, pos4) calculated for each timeframe.
Each avg_pos is itself an average of the normalized positions of the high, low, and close prices relative to the Bollinger Bands for that timeframe.
This multi-timeframe averaging smooths out short-term fluctuations and provides a broader perspective on the price's position within the volatility bands.
Interpretation:
0.0 The price is at or below the lower Bollinger Band across all timeframes (indicating potential oversold conditions).
0.15: A customizable level (green band) which can be used for exiting short positions or entering long positions.
0.5: The midline, where the price is at the average of the Bollinger Bands (neutral zone).
0.85: A customizable level (orange band) which can be used for exiting long positions or entering short positions.
1.0: The price is at or above the upper Bollinger Band across all timeframes (indicating potential overbought conditions).
The colored regions and moving averages (if enabled) help identify trends or crossovers for trading signals.
Example:
If the 30min timeframe shows the close at the upper band (position = 1.0), the 60min at the midline (position = 0.5), the 240min at the lower band (position = 0.0), and the daily at the upper band (position = 1.0), the avg_position would be:(1.0 + 0.5 + 0.0 + 1.0) / 4 = 0.625
This value (0.625) would plot in the orange region (between 0.85 and 0.5), suggesting the price is relatively strong but not at an extreme.
Notes:
The use of lookahead=barmerge.lookahead_on ensures the indicator uses the latest available data, making it more real-time, though its effectiveness depends on the chart timeframe and TradingView's data feed.
The indicator’s sensitivity can be adjusted by changing bb_length ("Bollinger Band MA Length" in the Input tab), bb_mult ("Bollinger Band Standard Deviation," also in the Input tab), or the selected timeframes.
Screener based on Profitunity strategy for multiple timeframes
Screener based on Profitunity strategy by Bill Williams for multiple timeframes (max 5, including chart timeframe) and customizable symbol list. The screener analyzes the Alligator and Awesome Oscillator indicators, Divergent bars and high volume bars.
The maximum allowed number of requests (symbols and timeframes) is limited to 40 requests, for example, for 10 symbols by 4 requests of different timeframes. Therefore, the indicator automatically limits the number of displayed symbols depending on the number of timeframes for each symbol, if there are more symbols than are displayed in the screener table, then the ordinal numbers are displayed to the left of the symbols, in this case you can display the next group of symbols by increasing the value by 1 in the "Show tickers from" field, if the "Group" field is enabled, or specify the symbol number by 1 more than the last symbol in the screener table. 👀 When timeframe filtering is applied, the screener table displays only the columns of those timeframes for which the filtering value is selected, which allows displaying more symbols.
For each timeframe, in the "TIMEFRAMES > Prev" field, you can enable the display of data for the previous bar relative to the last (current) one, if the market is open for the requested symbol. In the "TIMEFRAMES > Y" field, you can enable filtering depending on the location of the last five bars relative to the Alligator indicator lines, which are designated by special symbols in the screener table:
⬆️ — if the Alligator is open upwards (Lips > Teeth > Jaw) and none of the bars is closed below the Lips line;
↗️ — if one of the bars, except for the penultimate one, is closed below Lips, or two bars, except for the last one, are closed below Lips, or the Alligator is open upwards only below four bars, but none of the bars is closed below Lips;
⬇️ — if the Alligator is open downwards (Lips < Teeth < Jaw), but none of the bars is closed above Lips;
↘️ — if one of the bars, except the penultimate one, is closed above the Lips, or two bars, except the last one, are closed above the Lips, or the Alligator is open down only above four bars, but none of the bars are closed above the Lips;
➡️ — in other cases, including when the Alligator lines intersect and one of the bars is closed behind the Lips line or two bars intersect one of the Alligator lines.
In the "TIMEFRAMES > Show bar change value for TF" field, you can add a column to the right of the selected timeframe column with the percentage change between the closing price of the last bar (current) and the closing price of the previous bar ((close – previous close) / previous close * 100). Depending on the percentage value, the background color of the screener table cell will change: dark red if <= -3%; red if <= -2%, light red if <= -0.5%; dark green if >= 3%; green if >= 2%; light green if >= 0.5%.
For each timeframe, the screener table displays the symbol of the latest (current) bar, depending on the closing price relative to the bar's midpoint ((high + low) / 2) and its location relative to the Alligator indicator lines: ⎾ — the bar's closing price is above its midpoint; ⎿ — the bar's closing price is below its midpoint; ├ — the bar's closing price is equal to its midpoint; 🟢 — Bullish Divergent bar, i.e. the bar's closing price is above its midpoint, the bar's high is below all Alligator lines, the bar's low is below the previous bar's low; 🔴 — Bearish Divergent bar, i.e. the bar's closing price is below its midpoint, the bar's low is above all Alligator lines, the bar's high is above the previous bar's high. When filtering is enabled in the "TIMEFRAMES > Filtering by Divergent bar" field, the data in the screener table cells will be displayed only for those timeframes that have a Divergent bar. A high bar volume signal is also displayed — 📶/📶² if the bar volume is greater than 40%/70% of the average volume value calculated using a simple moving average (SMA) in the 140 bar interval from the last bar.
In the indicator settings in the "SYMBOL LIST" field, each ticker (for example: OANDA:SPX500USD) must be on a separate line. If the market is closed, then the data for requested symbols will be limited to the time of the last (current) bar on the chart, for example, if the current symbol was traded yesterday, and the requested symbol is traded today, when requesting data for an hourly timeframe, the last bar will be for yesterday, if the timeframe of the current chart is not higher than 1 day. Therefore, by default, a warning will be displayed on the chart instead of the screener table that if the market is open, you must wait for the screener to load (after the first price change on the current chart), or if the highest timeframe in the screener is 1 day, you will be prompted to change the timeframe on the current chart to 1 week, if the screener requests data for the timeframe of 1 week, you will be prompted to change the timeframe on the current chart to 1 month, or switch to another symbol on the current chart for which the market is open (for example: BINANCE:BTCUSDT), or disable the warning in the field "SYMBOL LIST > Do not display screener if market is close".
The number of the last columns with the color of the AO indicator that will be displayed in the screener table for each timeframe is specified in the indicator settings in the "AWESOME OSCILLATOR > Number of columns" field.
For each timeframe, the direction of the trend between the price of the highest and lowest bars in the specified range of bars from the last bar is displayed — ↑ if the trend is up (the highest bar is to the right of the lowest), or ↓ if the trend is down (the lowest bar is to the right of the highest). If there is a divergence on the AO indicator in the specified interval, the symbol ∇ is also displayed. The average volume value is also calculated in the specified interval using a simple moving average (SMA). The number of bars is set in the indicator settings in the "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count" field.
In the indicator settings in the "STYLE" field you can change the position of the screener table relative to the chart window, the background color, the color and size of the text.
***
Скринер на основе стратегии Profitunity Билла Вильямса для нескольких таймфреймов (максимум 5, включая таймфрейм графика) и настраиваемого списка символов. Скринер анализирует индикаторы Alligator и Awesome Oscillator, Дивергентные бары и бары с высоким объемом.
Максимально допустимое количество запросов (символы и таймфреймы) ограничено 40 запросами, например, для 10 символов по 4 запроса разных таймфреймов. Поэтому в индикаторе автоматически ограничивается количество отображаемых символов в зависимости от количества таймфреймов для каждого символа, если символов больше чем отображено в таблице скринера, то слева от символов отображаются порядковые номера, в таком случае можно отобразить следующую группу символов, увеличив значение на 1 в настройках индикатора поле "Show tickers from", если включено поле "Group", или указать номер символа на 1 больше, чем последний символ в таблице скринера. 👀 Когда применяется фильтрация по таймфрейму, в таблице скринера отображаются только столбцы тех таймфреймов, для которых выбрано значение фильтрации, что позволяет отображать большее количество символов.
Для каждого таймфрейма в настройках индикатора в поле "TIMEFRAMES > Prev" можно включить отображение данных для предыдущего бара относительно последнего (текущего), если для запрашиваемого символа рынок открыт. В поле "TIMEFRAMES > Y" можно включить фильтрацию, в зависимости от расположения последних пяти баров относительно линий индикатора Alligator, которые обозначаются специальными символами в таблице скринера:
⬆️ — если Alligator открыт вверх (Lips > Teeth > Jaw) и ни один из баров не закрыт ниже линии Lips;
↗️ — если один из баров, кроме предпоследнего, закрыт ниже Lips, или два бара, кроме последнего, закрыты ниже Lips, или Alligator открыт вверх только ниже четырех баров, но ни один из баров не закрыт ниже Lips;
⬇️ — если Alligator открыт вниз (Lips < Teeth < Jaw), но ни один из баров не закрыт выше Lips;
↘️ — если один из баров, кроме предпоследнего, закрыт выше Lips, или два бара, кроме последнего, закрыты выше Lips, или Alligator открыт вниз только выше четырех баров, но ни один из баров не закрыт выше Lips;
➡️ — в остальных случаях, в то числе когда линии Alligator пересекаются и один из баров закрыт за линией Lips или два бара пересекают одну из линий Alligator.
В поле "TIMEFRAMES > Show bar change value for TF" можно добавить справа от выбранного столбца таймфрейма столбец с процентным изменением между ценой закрытия последнего бара (текущего) и ценой закрытия предыдущего бара ((close – previous close) / previous close * 100). В зависимости от величины процента будет меняться цвет фона ячейки таблицы скринера: темно-красный, если <= -3%; красный, если <= -2%, светло-красный, если <= -0.5%; темно-зеленый, если >= 3%; зеленый, если >= 2%; светло-зеленый, если >= 0.5%.
Для каждого таймфрейма в таблице скринера отображается символ последнего (текущего) бара, в зависимости от цены закрытия относительно середины бара ((high + low) / 2) и расположения относительно линий индикатора Alligator: ⎾ — цена закрытия бара выше его середины; ⎿ — цена закрытия бара ниже его середины; ├ — цена закрытия бара равна его середине; 🟢 — Бычий Дивергентный бар, т.е. цена закрытия бара выше его середины, максимум бара ниже всех линий Alligator, минимум бара ниже минимума предыдущего бара; 🔴 — Медвежий Дивергентный бар, т.е. цена закрытия бара ниже его середины, минимум бара выше всех линий Alligator, максимум бара выше максимума предыдущего бара. При включении фильтрации в поле "TIMEFRAMES > Filtering by Divergent bar" данные в ячейках таблицы скринера будут отображаться только для тех таймфреймов, где есть Дивергентный бар. Также отображается сигнал высокого объема бара — 📶/📶², если объем бара больше чем на 40%/70% среднего значения объема, рассчитанного с помощью простой скользящей средней (SMA) в интервале 140 баров от последнего бара.
В настройках индикатора в поле "SYMBOL LIST" каждый тикер (например: OANDA:SPX500USD) должен быть на отдельной строке. Если рынок закрыт, то данные для запрашиваемых символов будут ограничены временем последнего (текущего) бара на графике, например, если текущий символ торговался последний день вчера, а запрашиваемый символ торгуется сегодня, при запросе данных для часового таймфрейма, последний бар будет за вчерашний день, если таймфрейм текущего графика не выше 1 дня. Поэтому по умолчанию на графике будет отображаться предупреждение вместо таблицы скринера о том, что если рынок открыт, то необходимо дождаться загрузки скринера (после первого изменения цены на текущем графике), или если в скринере самый высокий таймфрейм 1 день, то будет предложено изменить на текущем графике таймфрейм на 1 неделю, если в скринере запрашиваются данные для таймфрейма 1 неделя, то будет предложено изменить на текущем графике таймфрейм на 1 месяц, или же переключиться на другой символ на текущем графике, для которого рынок открыт (например: BINANCE:BTCUSDT), или отключить предупреждение в поле "SYMBOL LIST > Do not display screener if market is close".
Количество последних столбцов с цветом индикатора AO, которые будут отображены в таблице скринера для каждого таймфрейма, указывается в настройках индикатора в поле "AWESOME OSCILLATOR > Number of columns".
Для каждого таймфрейма отображается направление тренда между ценой самого высокого и самого низкого баров в указанном интервале баров от последнего бара — ↑, если тренд направлен вверх (самый высокий бар справа от самого низкого), или ↓, если тренд направлен вниз (самый низкий бар справа от самого высокого). Если есть дивергенция на индикаторе AO в указанном интервале, то также отображается символ — ∇. В указанном интервале также рассчитывается среднее значение объема с помощью простой скользящей средней (SMA). Количество баров устанавливается в настройках индикатора в поле "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count".
В настройках индикатора в поле "STYLE" можно изменить положение таблицы скринера относительно окна графика, цвет фона, цвет и размер текста.
Zero Tolerance - NeilsonVWAP Wave system. Perfect for every!!
Helps predict reversals.
Entry point
Exit points
Everything else
ICT Midnight PDH PDLPara marcar rango Midnight to Midnight (NYMO).
También para marcar rangos horarios que tu quieras.
TrueOpens [AY]¹ See how price reacts to key multi-day and monthly open levels—perfect for S/R-focused traders.
Experimental indicator for tracking multi-day openings and ICT True Month Open levels, ideal for S/R traders.
TrueOpens ¹ – Multi-Day & True Month Open Levels
This indicator is experimental and designed to help traders visually track opening price levels across multiple days, along with the ICT True Month Open (TMO).
Key Features:
Supports up to 12 configurable multi-day opening sessions, each with independent color, style, width, and label options.
Automatically detects the True Month Open using the ICT method (2nd Monday of each month) and plots it on the chart.
Lines can extend dynamically and are limited to a user-defined number of historical bars for clarity.
Fully customizable timezones, label sizes, and display options.
This indicator is ideal for observing how price interacts with key levels, especially for traders who favor support and resistance-based strategies.
Disclaimer: This is an analytical tool for observation purposes. It does not provide buy or sell signals. Users should combine it with their own analysis and risk management.
Lanzadera)The Lanzadera Indicator is designed to identify market momentum and potential breakout opportunities. It works as a dynamic tool that helps traders detect price acceleration zones, providing clear signals for possible entries and exits. With customizable settings and a user-friendly design, this indicator is suitable for both beginners and experienced traders.
Use it to:
Spot momentum shifts before major price movements.
Enhance your breakout trading strategies.
Gain a clearer view of market dynamics with visual alerts.
This indicator is built for traders who want precision, discipline, and a professional edge in their decision-making process.
Whale VWAP HeatmapWhat it does
This indicator paints a heatmap around an anchored VWAP to make market context obvious at a glance.
Above VWAP → cyan background
Below VWAP → amber background
The farther price is from VWAP (in %), the stronger the color intensity.
How it works
Uses an anchored VWAP that resets on the period you choose (Session / Week / Month / Quarter / Year / Decade / Century / Earnings / Dividends / Splits).
Computes the percentage distance between price and VWAP, then maps that distance to background opacity.
Optional VWAP line can be shown/hidden.
Inputs (Settings)
Anchor Period — choose when VWAP resets (Session→Year, plus E/D/S options).
Source — price source (default hlc3).
Hide on D/W/M (Session only) — hides the script on Daily/Weekly/Monthly when anchor=Session (avoids NA behavior).
Enable Heatmap — turn background coloring on/off.
Max distance for full color (%) — at/above this % from VWAP, color hits full intensity (typical 0.5–2% depending on volatility).
Show VWAP Line / Line Color/Width — visual preference.
How to read it (quick playbook)
Context first: color tells you if price is trading above/below “fair value” (VWAP).
Intensity = how stretched price is from VWAP.
Use it to frame bias (above/below VWAP) and to avoid chasing extended moves.
Notes & limitations
Requires volume (VWAP is volume-weighted). If the data vendor doesn’t provide volume for the symbol, the script will stop.
For intraday, Session anchor is common. For swing/context, try Week or Month.
Master Simple Indicator 2.0Master Simple Indicator 2.0 combines dynamic moving average signals with ATR-based price bands. It plots a volatility range around the current price using customizable ATR length, smoothing, and multiplier settings, while also highlighting long/short opportunities when price crosses a 120-period moving average. Visual cues and alerts help identify momentum shifts, trend direction, and potential trade entries across all timeframes.
GrayZone Sniper [CHE] — Breakout Validation System GrayZone Sniper — Breakout Validation System
Trade only the clean breakouts. Detect the sideways “gray zone,” wait for a confirmed breach, and act only when momentum (TFRSI) and range expansion (Mean Deviation) align. Clear long/short triggers, one-shot exit signals, and persistent levels keep your manual trading disciplined and repeatable.
Why it boosts manual trading
* No guesswork: Grey box marks consolidation; you trade the validated break.
* Fewer fakeouts: Triggers require momentum + volatility—not just a wick through a level.
* Rules > bias: Optional close-only signals stop intrabar noise.
* Built-in exits: One-shot LS/SS (Long/Short Stop) when conditions degrade.
* Actionable visuals: Gray-zone boxes, persistent highs/lows, and a smooth T3 trendline.
What it does (short + precise)
1. Maps consolidation as a gray box (running high/low while state is neutral).
2. Validates breakouts only when:
* Mean Deviation filter says current range expands vs. its own baseline, and
* TFRSI momentum is above 50 + deadzone (long) or below 50 − deadzone (short), and
* Price closes beyond the last gray high/low (optional close-only).
→ You get L (long) or S (short).
3. Manages exits with a smooth T3 trendline plus MD trend: when MD weakens and T3 turns against the prior side, you get a single LS/SS stop signal.
4. Extends structure: Last gray-zone H/L can persist as right-extended levels for retests/targets.
5. Ready for alerts: Prebuilt alert conditions for L, S, LS, SS.
Signals at a glance
* L – Long Trigger (validated breakout up)
* S – Short Trigger (validated breakout down)
* LS – Long Stop (exit hint for open long)
* SS – Short Stop (exit hint for open short)
Why TFRSI + Mean Deviation is a killer combo
They measure different, complementary things—and that reduces correlated errors.
* Mean Deviation (MD) = range expansion filter. It checks whether current absolute deviation of Typical Price from its SMA (|TP − SMA(TP)|) is greater than its own historical mean deviation baseline. In plain English: *is the market actually moving beyond its usual wiggle?* If not, most breakouts are noise.
* TFRSI = directional momentum around a 50 baseline, normalized and smoothed to react fast while avoiding raw RSI twitchiness.
* Synergy:
* MD confirms there’s energy (volatility regime has expanded).
* TFRSI confirms where that energy points (bull or bear).
* Requiring both gives you high-quality, directional expansion—the exact condition that tends to produce follow-through, while filtering the classic “thin break, immediate snap-back.”
Result: Fewer trades, better quality. You skip most range breaks without momentum or momentum pops without real expansion.
Inputs & Functions (clean overview)
Core: TFRSI & MD
* TFRSI Length (`tfrsiLen`, default 6): Longer = smoother, slower.
* TFRSI Smoothing (`tfrsiSignalLen`, default 2): SMA on TFRSI for cleaner signals.
* Mean Deviation Period (`mdLen`, default 20): Baseline for expansion filter.
* Use classical MD (`useTaDev`, default off):
* Off: MD vs current SMA (warning-free internal baseline).
* On: Classical `ta.dev` implementation.
* TFRSI Deadzone ± around 50 (`tfrsiDeadzone`, default 1.0): Wider deadzone = stricter momentum confirmation (less chop).
Triggers & Logic
* Trigger only on bar close (`fireOnCloseOnly`, default on): Confirmed signals only; no intrabar flicker.
* Reset gray bounds after trigger (`resetGrayBoundsAfterTrigger`, default on): Clears last gray H/L once a trade triggers.
* Auto-deactivate on neutral (`autoDeactivateOnNeutral`, default off): Strict disarm when state flips back to neutral.
Gray-Zone Boxes
* Show boxes (`showGrayBoxes`, default on): Draws the neutral consolidation box.
* Max boxes (`maxGrayBoxes`, default 10): How many historic boxes to keep.
* Transparency (`boxFillTransp`/`boxBorderTransp`, defaults 85/30): Visual tuning.
Trendline (T3)
* T3 Length (`t3Length`, default 3): Smoothing depth (higher = smoother).
* T3 Volume Factor (`t3VolumeFactor`, default 0.7): Controls responsiveness of the T3 curve.
Persistent Levels
* Persist gray H/L (`saveGrayLevels`, default on): Extend last gray high/low to the right.
* Max saved level pairs (`maxSavedGrayLvls`, default 1): How many H/L pairs to keep.
* Reset levels on trigger (`resetLevelsOnTrig`, default off): Clean slate after new trigger.
Debug & Visuals
* Show debug markers (`showDebugMarkers`, default on): Display L/S/LS/SS in the pane.
* Show legend (`showLegend`, default on): Compact legend (top-right).
How to trade it (practical)
1. Keep close-only on. Let the market finish the candle.
2. Wait for a clean gray box. Let the range define itself.
3. Take only L/S triggers where MD filter passes and TFRSI confirms.
4. Use persistent levels for retests/partials/targets.
5. Respect LS/SS. When expansion fades and T3 turns, exit without debate.
Tuning tips:
* More chop? Increase `tfrsiDeadzone` or `mdLen`.
* Want faster entries? Slightly reduce `t3Length` or deadzone, but expect more noise.
* Works across assets/timeframes (crypto/FX/indices/equities).
Bottom line
GrayZone Sniper enforces a simple, robust rule: Don’t touch the market until it breaks a defined range with real expansion and aligned momentum. That’s why TFRSI + Mean Deviation is hard to beat—and why your manual breakout trades get cleaner, calmer, and more consistent.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence with Triple Power Stop (CHE)! 🚀
Happy trading
Chervolino
🚀 Ultimate Trading Tool + Strat Method🎯 What You Get - Two Powerful Systems in One:
🔥 Original Ultimate Trading Tool:
✅ Automated trendlines with dynamic support/resistance
✅ Multi-factor analysis (trend, momentum, RSI, volume)
✅ Dynamic risk management with ATR-based stops/targets
✅ Real-time dashboard with all market conditions
🎯 Advanced Strat Method Integration:
✅ Classic patterns: 2-2, 1-2-2 setups
✅ Advanced patterns: 3-1-2, 2-1-2, F2→3 setups
✅ Timeframe continuity filter (Daily + Weekly alignment)
✅ Trigger confirmations for precise entries
Mutanabby_AI | ATR+ | Trend-Following StrategyThis document presents the Mutanabby_AI | ATR+ Pine Script strategy, a systematic approach designed for trend identification and risk-managed position entry in financial markets. The strategy is engineered for long-only positions and integrates volatility-adjusted components to enhance signal robustness and trade management.
Strategic Design and Methodological Basis
The Mutanabby_AI | ATR+ strategy is constructed upon a foundation of established technical analysis principles, with a focus on objective signal generation and realistic trade execution.
Heikin Ashi for Trend Filtering: The core price data is processed via Heikin Ashi (HA) methodology to mitigate transient market noise and accentuate underlying trend direction. The script offers three distinct HA calculation modes, allowing for comparative analysis and validation:
Manual Calculation: Provides a transparent and deterministic computation of HA values.
ticker.heikinashi(): Utilizes TradingView's built-in function, employing confirmed historical bars to prevent repainting artifacts.
Regular Candles: Allows for direct comparison with standard OHLC price action.
This multi-methodological approach to trend smoothing is critical for robust signal generation.
Adaptive ATR Trailing Stop: A key component is the Average True Range (ATR)-based trailing stop. ATR serves as a dynamic measure of market volatility. The strategy incorporates user-defined parameters (
Key Value and ATR Period) to calibrate the sensitivity of this trailing stop, enabling adaptation to varying market volatility regimes. This mechanism is designed to provide a dynamic exit point, preserving capital and locking in gains as a trend progresses.
EMA Crossover for Signal Generation: Entry and exit signals are derived from the interaction between the Heikin Ashi derived price source and an Exponential Moving Average (EMA). A crossover event between these two components is utilized to objectively identify shifts in momentum, signaling potential long entry or exit points.
Rigorous Stop Loss Implementation: A critical feature for risk mitigation, the strategy includes an optional stop loss. This stop loss can be configured as a percentage or fixed point deviation from the entry price. Importantly, stop loss execution is based on real market prices, not the synthetic Heikin Ashi values. This design choice ensures that risk management is grounded in actual market liquidity and price levels, providing a more accurate representation of potential drawdowns during backtesting and live operation.
Backtesting Protocol: The strategy is configured for realistic backtesting, employing fill_orders_on_standard_ohlc=true to simulate order execution at standard OHLC prices. A configurable Date Filter is included to define specific historical periods for performance evaluation.
Data Visualization and Metrics: The script provides on-chart visual overlays for buy/sell signals, the ATR trailing stop, and the stop loss level. An integrated information table displays real-time strategy parameters, current position status, trend direction, and key price levels, facilitating immediate quantitative assessment.
Applicability
The Mutanabby_AI | ATR+ strategy is particularly suited for:
Cryptocurrency Markets: The inherent volatility of assets such as #Bitcoin and #Ethereum makes the ATR-based trailing stop a relevant tool for dynamic risk management.
Systematic Trend Following: Individuals employing systematic methodologies for trend capture will find the objective signal generation and rule-based execution aligned with their approach.
Pine Script Developers and Quants: The transparent code structure and emphasis on realistic backtesting provide a valuable framework for further analysis, modification, and integration into broader quantitative models.
Automated Trading Systems: The clear, deterministic entry and exit conditions facilitate integration into automated trading environments.
Implementation and Evaluation
To evaluate the Mutanabby_AI | ATR+ strategy, apply the script to your chosen chart on TradingView. Adjust the input parameters (Key Value, ATR Period, Heikin Ashi Method, Stop Loss Settings) to observe performance across various asset classes and timeframes. Comprehensive backtesting is recommended to assess the strategy's historical performance characteristics, including profitability, drawdown, and risk-adjusted returns.
I'd love to hear your thoughts, feedback, and any optimizations you discover! Drop a comment below, give it a like if you find it useful, and share your results.
Средний дневной ATR (по High–Low)Test v.1
we calculate in % the average ATR passed in 1 day (for 5 days)
Capiba Directional Momentum Oscillator (ADX-based)
🇬🇧 English
Summary
The Capiba ADX is a momentum oscillator that transforms the classic ADX (Average Directional Index) into a much more intuitive visual tool. Instead of analyzing three separate lines (ADX, DI+, DI-), this indicator consolidates the strength and direction of the trend into a single histogram that oscillates around the zero line.
The result is a clear and immediate reading of market sentiment, allowing traders to quickly identify who is in control—buyers or sellers—and with what intensity.
How to Interpret and Use the Indicator
The operation of the Capiba ADX is straightforward:
Green Histogram (Above Zero): Indicates that buying pressure (DI+) is in control. The height of the bar represents the magnitude of the bullish momentum. Taller green bars suggest a stronger uptrend.
Red Histogram (Below Zero): Indicates that selling pressure (DI-) is in control. The "depth" of the bar represents the magnitude of the bearish momentum. Lower (more negative) red bars suggest a stronger downtrend.
Zero Line (White): This is the equilibrium point. Crossovers through the zero line signal a potential shift in trend control.
Crossover Above: Buyers are taking control.
Crossover Below: Sellers are taking control.
Reference Levels (Momentum Strength)
The indicator plots three fixed reference levels to help gauge the intensity of the move:
0 Line: Equilibrium.
100 Line: Signals significant directional momentum. When the histogram surpasses this level, the trend (whether bullish or bearish) is gaining considerable strength.
200 Line: Signals very strong directional momentum, or even potential exhaustion conditions. Moves that reach this level are powerful but may also precede a consolidation or reversal.
Usage Strategy
Trend Confirmation: Use the indicator to confirm the direction of your analysis. If you are looking for long positions, the Capiba ADX should ideally be green and, preferably, rising.
Strength Identification: Watch for the histogram to cross the 100 and 200 levels to validate the strength of a breakout or an established trend.
Entry/Exit Signals: A zero-line crossover can be used as a primary entry or exit signal, especially when confirmed by other technical analysis tools.
Acknowledgements
This indicator is the result of adapting knowledge and open-source codes shared by the vibrant TradingView community.
Keltner Alım Stratejisi v6 (10, 0.5)sadece keltner kanal girdilerinin değiştirilmesiyle oluşturulmuş bir göstergedir
Session Pivots + EMA20/50 + Bollinger BandsMulti-tool indicator combining session pivots, EMA trend filters, Bollinger Bands, and alerts for intraday trading.
📌 Description
One of the biggest advantages of this indicator is that it supports TradingView’s ALERT system, so traders can be notified the moment price crosses the daily/session pivot level. This allows faster decision-making without constant chart watching.
This script combines three powerful tools into a single indicator:
Session Pivot Levels (with Support/Resistance): Automatically calculates pivot, R1–R3 and S1–S3 levels based on the previous trading session (London, New York, Asia, or custom). Levels are plotted with clean labels and connector lines so you always see the exact price values ahead of time.
EMA Trend Filters (20 & 50): Tracks short- and medium-term market direction with two popular exponential moving averages, helping confirm entries and exits.
Bollinger Bands (fully customizable): Adds volatility bands with choice of SMA, EMA, SMMA, WMA, or VWMA for the middle line, plus adjustable standard deviation and offset.
✅ Key Features
Auto-detects London, New York, and Asian sessions or set your own custom session.
Displays up to 3 levels of support and resistance from the previous session.
Clean label display with customizable theme options (Dark, Light, Custom).
Alerts included: Get notified instantly when price crosses above or below the Pivot.
EMA20/50 trend confirmation built-in.
Bollinger Bands with multiple moving average types and volatility settings.
Works for Forex, Crypto, Indices, Commodities — optimized for intraday & scalping.
This makes it a complete intraday toolkit, reducing the need to load multiple separate indicators.
📄 Full documentation available here: [ link ]
Volatility Zones (VStop + Bands) — Fixed (v2)📝 What this indicator is
This script is called “Volatility Zones (VStop + Bands)”.
It is an ATR-based volatility indicator that combines dynamic volatility bands, a Volatility Stop line (VStop), and volatility spike detection into a single tool.
Unlike moving average–based indicators, this tool does not rely on averages of price direction. Instead, it measures the market’s true volatility and reacts to expansions or contractions in price ranges.
________________________________________
⚙️ How it is built
The indicator uses several volatility-based components:
1. Average True Range (ATR)
o ATR is calculated over a user-defined length.
o It measures how much price typically moves in a given number of bars, making it the foundation of this indicator.
2. Volatility Bands
o Upper band = close + ATR × factor
o Lower band = close - ATR × factor
o The area between them is shaded.
o This gives traders an immediate visual sense of market volatility width — wide bands = high volatility, narrow bands = quiet market.
3. Volatility Stop (VStop)
o A stateful trailing stop based on ATR.
o It tracks the highest (or lowest) price in the current trend and places a stop offset by ATR × multiplier.
o When price crosses this stop, the indicator flips trend direction.
o This creates a dynamic stop-and-reverse mechanism that adapts to volatility.
4. Trend Zones
o When the trend is bullish, the stop is green and the chart background is shaded softly green.
o When bearish, the stop is red and the background is shaded softly red.
o This makes the market’s directional bias visually clear at all times.
5. Flip Signals (Buy/Sell Arrows)
o Whenever the VStop flips, arrows appear:
Green BUY arrows below price when the trend turns bullish.
Red SELL arrows above price when the trend turns bearish.
o These are also tied to built-in alerts for automation.
6. Volatility Spike Detection
o The script compares current ATR to its recent average.
o If ATR suddenly expands above a threshold, a small yellow “VOL” marker appears at the top of the chart.
o This highlights potential breakout phases or unusual volatility events.
7. Stop Labels
o At every trend flip, a small label appears at the bar, showing the exact stop level.
o This makes it easy to use the stop as a reference for risk management.
________________________________________
📊 How it works in practice
• When price is above the VStop line, the market is considered in an uptrend.
• When price is below the VStop line, the market is in a downtrend.
• The bands expand/contract with volatility, helping traders gauge risk and position sizing.
• Flip arrows signal when trend direction changes.
• Volatility spikes warn traders that the market is entering a higher-risk phase, often before strong moves.
________________________________________
🎯 How it may help traders
• Trend following → Helps traders identify whether the market is trending up or down.
• Stop placement → Provides a dynamic stop level that adjusts to volatility.
• Volatility awareness → Shaded bands and spike markers show when the market is likely to become unstable.
• Trade timing → Flip arrows and labels help identify potential entry or exit points.
• Risk management → Wide bands indicate higher risk; narrow bands suggest safer, tighter ranges.
________________________________________
🌍 In what markets it is useful
Because the indicator is based purely on volatility, it works across all asset classes and timeframes:
• Stocks & ETFs → Helps identify breakouts and long-term trends.
• Forex → Very useful in spot FX where volatility shifts frequently.
• Crypto → ATR reacts strongly to high volatility, helping traders adapt stops dynamically.
• Futures & Commodities → Great for tracking trending commodities and managing risk.
Scalpers, swing traders, and position traders can all benefit by adjusting the ATR length and multipliers to suit their trading style.
________________________________________
💡 Originality of this script
This is not just a mashup of existing indicators. It integrates:
• ATR-based Volatility Bands for context,
• A stateful Volatility Stop (adapted and rewritten cleanly),
• Flip arrows and labels for actionable trading signals,
• Volatility spike detection to highlight regime shifts.
The result is a comprehensive volatility-aware trading tool that goes beyond just plotting ATR or trend stops.
________________________________________
🔔 Alerts
• Buy Flip → triggers when the trend changes bullish.
• Sell Flip → triggers when the trend changes bearish.
Traders can connect these alerts to automated strategies, bots, or notification systems.
Capiba Custom RSI with Divergences v2
🇬🇧 English
Summary
This indicator is an enhanced and customizable version of the classic RSI, designed to provide clearer and more powerful trading signals. It combines an alternative, more price-sensitive RSI calculation with an automatic divergence detection, which is one of the most effective tools for predicting trend reversals and finding high-probability entry and exit points.
Built upon the compilation of knowledge and open-source codes from the community, this script has been refined to be an all-in-one tool for traders who base their strategies on momentum and trend exhaustion.
Key Features and How to Use
Ultimate RSI and Signal Line (Momentum)
What it is: The main indicator (white line) is an RSI variation that reacts more dynamically to changes in price volatility. It is accompanied by a signal line (orange, by default), which is a moving average of the RSI itself, serving to smooth the indicator and generate crossover signals.
How to use for Entries/Exits:
Buy Signal (Short-Term): Crossover of the RSI line (white) above the signal line (orange).
Sell Signal (Short-Term): Crossover of the RSI line (white) below the signal line (orange). These are momentum signals, ideal for confirming a trend or for scalping.
Automatic Divergence Detection (Reversal Signals) This is the most powerful feature of the indicator. A divergence occurs when the price moves in one direction and the momentum indicator moves in the opposite direction, signaling a likely exhaustion of the current trend.
Bullish Divergence (Green Line):
What it is: The price makes a lower low, but the RSI makes a higher low.
Meaning: Selling pressure is decreasing. It is a strong signal of a potential market bottom and an excellent entry opportunity for a long position.
Bearish Divergence (Red Line):
What it is: The price makes a higher high, but the RSI makes a lower high.
Meaning: Buying pressure is losing strength. It is a strong signal of a potential market top and an excellent exit opportunity for a long position or an entry for a short position.
Customizable Overbought & Oversold Levels
The horizontal lines (default 80 and 20) and the colored areas show when the asset is overextended to the upside (overbought) or downside (oversold), helping to contextualize the divergence and crossover signals.
Recommended Strategy
For maximum effectiveness, combine the signals:
High-Probability Entry (Buy): Look for a Bullish Divergence (green line) forming in the oversold zone. Confirm the entry when the RSI line crosses above its signal line.
High-Probability Exit (Sell): Look for a Bearish Divergence (red line) forming in the overbought zone. Confirm the exit or new short entry when the RSI line crosses below its signal line.
Acknowledgements
This indicator was developed by compiling and customizing excellent open-source ideas and codes shared by the TradingView community. Special thanks to everyone who contributes to the advancement of technical analysis.
Supercharged Scalping Indicator v1 No repaintSupercharged Scalping Indicator with:
✅ Buy/Sell arrows (no repaint).
✅ EMA50, EMA200, VWAP, ATR bands plotted for context.
✅ Momentum + volume confirmation.
✅ Color-coded background when confluence is strong.
⚡ How It Works
Trend filter: EMA50 vs EMA200 decides bullish/bearish bias.
VWAP + ATR bands: Confirms pullback zones for scalping entries.
Momentum: RSI > 50 & MACD > 0 for longs, RSI < 50 & MACD < 0 for shorts.
Volume: Only fire signals when above average volume → avoids dead zones.
Candle confirmation: Requires strong-bodied candle (no tiny indecision bars).
Non-repaint: All signals confirmed on bar close.
Capiba Ultimate Suite (RSI, MA Cloud & Volatility)
🇬🇧 English
Summary
This indicator, Capiba Ultimate Suite, is a powerful compilation of various open-source technical analysis tools, refined and integrated into a single, cohesive, and functional package. The goal is to provide a complete system with clear entry and exit signals, ideal for traders operating in trending and volatile markets.
The combination of a custom momentum oscillator (Ultimate RSI), a moving average cloud for trend definition, and a volatility oscillator for range analysis transforms this script into a true trading suite.
Disclaimer: This indicator is most effective in markets with a defined trend (bullish or bearish) and may generate less reliable signals during periods of strong consolidation.
Components and How to Use
Ultimate RSI with Crossover Signals (Entries and Exits)
What it is: A variation of the classic RSI, designed to be more reactive to price movements.
Entry Signals (Buy): A green arrow (▲) appears below the candle when the Ultimate RSI line crosses above its momentum line (EMA). This is a signal of a potential start of an upward move.
Exit Signals (Sell): A red arrow (▼) appears above the candle when the Ultimate RSI crosses below its momentum line. This is a signal of potential weakening or trend reversal.
Moving Average Cloud (Trend Filter)
What it is: A cloud formed by the space between a short-term moving average (default 55) and a long-term one (default 233).
How to use for signal validation:
Uptrend: When the cloud is green (Short MA > Long MA), buy signals (▲) are strengthened. Sell signals can be seen as partial profit-taking.
Downtrend: When the cloud is red (Short MA < Long MA), sell signals (▼) are strengthened. Buy signals should be treated with extreme caution as they are against the main trend.
Candle Coloring (Quick Momentum Reading)
Lime Green: Strong bullish momentum (RSI > 50 and above its EMA).
Red: Strong bearish momentum (RSI < 50 and below its EMA).
Blue: Overbought level reached.
Yellow: Oversold level reached.
Volatility Ruler (Breakout Analysis)
What it is: The green (high) and red (low) lines mark the range of the last 'N' candles. The Vol: X.XX label on the right measures the current volatility against its historical average.
How to use:
Vol < 1.00: Contracting volatility ("Squeeze"). The market is "coiling the spring." Watch for an impending breakout of the range lines.
Vol > 1.00: Expanding volatility. Confirms the strength of a breakout that has already occurred. Very high values may indicate exhaustion.
Use the ruler to identify false breakouts: a candle closing outside the line but with a very low Vol value is more likely to be a false signal.
Acknowledgements
This indicator is the result of compiling and adapting open-source concepts and codes available in the TradingView community. Thanks to all the developers who share their knowledge.
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
The Barking Rat LiteMomentum & FVG Reversion Strategy
The Barking Rat Lite is a disciplined, short-term mean-reversion strategy that combines RSI momentum filtering, EMA bands, and Fair Value Gap (FVG) detection to identify short-term reversal points. Designed for practical use on volatile markets, it focuses on precise entries and ATR-based take profit management to balance opportunity and risk.
Core Concept
This strategy seeks potential reversals when short-term price action shows exhaustion outside an EMA band, confirmed by momentum and FVG signals:
EMA Bands:
Parameters used: A 20-period EMA (fast) and 100-period EMA (slow).
Why chosen:
- The 20 EMA is sensitive to short-term moves and reflects immediate momentum.
- The 100 EMA provides a slower, structural anchor.
When price trades outside both bands, it often signals overextension relative to both short-term and medium-term trends.
Application in strategy:
- Long entries are only considered when price dips below both EMAs, identifying potential undervaluation.
- Short entries are only considered when price rises above both EMAs, identifying potential overvaluation.
This dual-band filter avoids counter-trend signals that would occur if only a single EMA was used, making entries more selective..
Fair Value Gap Detection (FVG):
Parameters used: The script checks for dislocations using a 12-bar lookback (i.e. comparing current highs/lows with values 12 candles back).
Why chosen:
- A 12-bar displacement highlights significant inefficiencies in price structure while filtering out micro-gaps that appear every few bars in high-volatility markets.
- By aligning FVG signals with candle direction (bullish = close > open, bearish = close < open), the strategy avoids random gaps and instead targets ones that suggest exhaustion.
Application in strategy:
- Bullish FVGs form when earlier lows sit above current highs, hinting at downward over-extension.
- Bearish FVGs form when earlier highs sit below current lows, hinting at upward over-extension.
This gives the strategy a structural filter beyond simple oscillators, ensuring signals have price-dislocation context.
RSI Momentum Filter:
Parameters used: 14-period RSI with thresholds of 80 (overbought) and 20 (oversold).
Why chosen:
- RSI(14) is a widely recognized momentum measure that balances responsiveness with stability.
- The thresholds are intentionally extreme (80/20 vs. the more common 70/30), so the strategy only engages at genuine exhaustion points rather than frequent minor corrections.
Application in strategy:
- Longs trigger when RSI < 20, suggesting oversold exhaustion.
- Shorts trigger when RSI > 80, suggesting overbought exhaustion.
This ensures entries are not just technically valid but also backed by momentum extremes, raising conviction.
ATR-Based Take Profit:
Parameters used: 14-period ATR, with a default multiplier of 4.
Why chosen:
- ATR(14) reflects the prevailing volatility environment without reacting too much to outliers.
- A multiplier of 4 is a pragmatic compromise: wide enough to let trades breathe in volatile conditions, but tight enough to enforce disciplined exits before mean reversion fades.
Application in strategy:
- At entry, a fixed target is set = Entry Price ± (ATR × 4).
- This target scales automatically with volatility: narrower in calm periods, wider in explosive markets.
By avoiding discretionary exits, the system maintains rule-based discipline.
Visual Signals on Chart
Blue “▲” below candle: Potential long entry
Orange/Yellow “▼” above candle: Potential short entry
Green “✔️”: Trade closed at ATR take profit
Blue (20 EMA) & Orange (100 EMA) lines: Dynamic channel reference
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 28, 2025 — Aug 17, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Lite strategy is very selective, filtering out over 90% of market noise. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods.
The strategy generates a sizeable number of trades, reducing reliance on a single outcome.
Combined with conservative filters, the 25% setting offers a balance between aggression and control.
Users are strongly encouraged to customize this to suit their risk profile.
What makes Barking Rat Lite valuable
Combines multiple layers of confirmation: EMA bands + FVG + RSI
Adaptive to volatility: ATR-based exits scale with market conditions
Clear, actionable visuals: Easy to monitor and manage trades
