Long Tail Candle by Oliver VelezThis script detects an event created by Oliver Velez, it is a wide-range candle with a small body and a long tail (hammer-type candle), its range is noticeably larger than previous candles, as a rule it can be taken that the body should be maximum of 30% of the total range of the candle with a long tail. The stop goes under the tail and the signal is given when the next candle followed by the long tail candle exceeds its body, do not program this condition so that the alert indicates that a long tail candle was generated and the trader has some Time to visualize the graph and wait for the signal.
The default configuration is very basic, each trader must adjust to their needs.
- Trend filters can be activated.
- Alerts available.
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חפש סקריפטים עבור "Buy sell"
TMMS OscillatorThe TMMS oscillator (aka “Trading Made More Simpler”) is an indicator made of conditions based on both 2 separated Stochastic and 1 RSI.
Bullish zone is green and bearish one is red. When the histogram is grey, no signals is available at that time.
The indicator has an option to show the current trend of an Hull moving average (ascending or descending curve). When the trend is up, green dots are plotted on the zero line. When the trend is down, the dots are coloured in red.
Greetings, success with your trade!!!
Climatic Volume X- Climate volume detection
- Relative volume value in bar
- Automatic zone generation (possibility of configuration)
- Additional features
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Elephant Bar by Oliver VelezThis script detects an event created by Oliver Velez, basically it is a wide-range candle, its range is noticeably larger than the previous candles, this event indicates a possible continuation of the movement, or the beginning of an extended movement. The candle has to be of good body, as a rule it can be taken that the body must be more than 70%. The stop goes below the minimum of the candle and the signal is given when the next candle followed by the elephant candle exceeds its body, this condition is not programmed so that the alert indicates that an elephant candle was generated and the trader has some time to visualize the graph and wait for the signal. Example below:
NOTE: IT IS VERY IMPORTANT THAT THE TRADER ANALYZE THE CONTEXT OF THE MARKET WHERE THE ELEPHANT BAR IS GENERATED AND DETERMINE ACCORDING TO ITS EXPERIENCE IF THE EVENT HAS A GOOD PROBABILITY OF PROJECTION, YOU MUST NOT TAKE AN ENTRY ONLY BY THIS EVENT, IF YOU DO YOU WILL LOSE ALL YOUR MONEY
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One of the problems of the elephant bar is that it generates a fairly wide risk unit with respect to other narrow range events, so the risk / benefit ratio is not very large, but it is an event that deserves attention when it occurs in a good location since it generally generates continuation.
If you want to have a lower risk unit and improve the risk / benefit ratio, you can play the “Gift Zone”, when detecting an elephant bar you can wait for a step back inside the elephant bar area and take a position, this will give you a less distance to the stop, but this can lead to the event escaping if there is no recoil.
- The size of the candle is determined by comparing a range of previous candles (you can set the amount at your discretion)
- Search factor: by default 1.3, this means that all bars that have a range greater than the average range of previous candles + 30%, are considered elephant candles (can be configured at your discretion)
- Possibility to configure the percentage of the body that the elephant candle must have.
- Possibility of filtering up to 2 means with direction detection and color change (fully configurable)
- Possibility of filtering by mobile averages
- Alerts
- Additional features
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Histogram Trends Strategy by SedkurThis gives to you buy-sell signal with MACD's histogram trends.
Use "Fast and Slow length" and "Trend of Histogram Number" inputs to take less or more signal.
"Trend of Histogram Number" : This means how many histogram bars the trend continues before trading.
Buying and Selling Pressure RawBuying and Selling Pressure Raw
Raw Buying and selling pressure Indicator. The Raw buying and selling indication is provided in terms of a Columns.
Green bars above zero show the buying pressure and the red bars below the zero line show the selling pressure.
This presents a good visual representation of the dominating pressure.
MACD Strategy by SedkurThis gives to you buy-sell signal with MACD histogram value.
Use "Fast and Slow length" and "Buy or Sell Histogram Value" inputs to take less or more signal.
Brandon BollSecond day at Pinescript and I am attempting to tweak the Bollinger Bands directed strategy to send alerts to Zignaly in order to automate long buy/sells.
I've left in the short script though for completeness.
The buy and sell instructions work perfectly but I don't know how to do a cancel order alert (as included in the original strategy)
Pinbar / Engulf EMA IndicatorThis indicator is built based on the video by ForexSignals TV (no association on my part with them), published on July 5th, 2019 titled "SIMPLE & PROFITABLE Trend-following Forex Trading Strategy!"
The basic premiss is to use the 8,13,21 EMAs, make sure they have not crossed in the previous 3 bars, then look for engulfing bars or pinbars for the current direction. Meaning if the trend is up, look for bullish engulfer or pinbars, and bearish ones if the trend is down. Also, the pin must have crossed the 8EMA but not the 21EMA.
When determining to act on the signal, the video recommends only executing a buy/sell if the the current trend in the anchor chart is trending in the same direction (trending up only enter buys, trending down, only enter sells).
The script overlays a BUY or SELL tag under the bar that meets the above criteria.
Fib Divergence SystemCombo of many useful indicators which includes fib lines, time and money channels and divergence buy sell signals
Credits for source code:
Scarf, Lazybear, 100kiwi
Steroid CCI w/ Overbought & Oversold Alert//@version=2
//By Tantamount
//Channel Commodity Index (CCI) with overbought and oversold alert features! Highly configurable indicator that includes a Topography map feature, used to detect & show minute threshold crosses.
//CCI is a momentum based technical trading tool used to help determine when an asset is reaching an overbought or oversold condition and is an great alternative to RSI.
//This CCI tool comes loaded with features and is easily configurable back to standard CCI or with your own preferences.
Customize to your liking:
Simple alert signals
The full enchilada, with Topo map view!
Stand alone CCI oscillator
Multiple MACD RSI simple strategySimple strategy script I've had for a while but looks like I never published.
Although it is one of my most simple it seems to have the best profitability. It is pretty rough though. the Stoch RSI has only a little weight to the trade trigger. I'll refine it more over time or you can by all means. Basically the Stoch RSI current K line has to be OVER 40 to trigger a SELL. It has no effect on buy side.
The triggers are roughly as follows:
Year - since so many assets have gone 2x, 3x, 10x+ since 2013 having a strategy that earns a 500% return from 2013 to now isn't that good if buy-and-holding would have got you 800%. This eliminates some of that noise and makes it a little easier to quickly gauge success. So buy/sell trigger need a value of greater or equal to 2018 (default)
MACD 1 - First MACD (short) needs to indicate greater than 0 to buy or less than 0 to sell.
MACD 2 - Same as MACD1 but for second MACD set (long)
Uptrend - Latest close + high divided by last periods close + high needs to be grater than 1. So if latest is 34.30 close and 34.60 high and previous interval is 34.80 close and 34.82 high, that is 0.99 and will not trigger a buy trade.
Downtrend - Same thing but close + low and less than 1.
This script/strategy is pretty rough but if there is interest I'll polish it more since it is a pretty solid but simple strategy for most assets.
AutoView - Hodl to SodlWrite your own strategy and use Hodl to Sodl to send Alerts for when to buy & sell, and automatically plot your anticipated buys/sells to the chart. A must have for AutoView users. Requires Pine Script coding. Not compatible with "Strategy Tester" tab and "Paper Trading" tab in TradingView.
Hodl-Sodl itself is not a strategy. It is a framework for building AutoView strategies. For demonstration purposes, the image featured with this script shows an example of a very simple CCI strategy (and not a very good one), but you would presumably replace that with your own ideas. If you'd like a little help plugging in your own strategy, contact jdhadwin for custom coding.
CMYK RMI ARROWS◊ Introduction
I started using this script because of its fast reaction, and good tell for buy/sell moments.
For larger timescales, the overall trend should be taken into account regarding the levels.
In the future i will update this indicator, to automatically adjust those.
This is the Overlay expansion of the Indicator Linked below.
◊ Origin
The Relative Momentum Index was developed by Roger Altman and was introduced in his article in the February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
◊ Adjustments
CMYK color theme applied.
Four levels to indicate intensity.
Two Timescales, to overview the broader trend, and fast movements.
◊ Usage
RMI indicates overbought and oversold zones, and can be used for divergence and trend analysis.
◊ Future Prospects
Self adjusting levels, relative to an SMA trend.
Alternative RMI, which functions as an overlay.
◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊ ◊
░▒▓█ CMYK ◊ RMI █▓▒░
Gunbot MACDgenOk this is just some strat based on MACD, checking for a few conditions until giving buy/sell signals to Gunbot via alerts.
It is generalized but if you want to go play with the values. I will continue to develop this further and am happy to receive feedback.
Notations are coming.
Usage notes:
-ONLY use this with TV_GAIN: 0.6 because on downtrends it is supposed to double up to pull down the average bought price!
-Use "buying condition" and "selling condition" for alerts, trigger on close and I suggest you use 3 min intervals but try what looks good to you
-Use this on pairs that are curvy and have atleast 0.6% gain between buy/sell triggers. This is also general advise when you want to take microprofits.
-Don't be confused with sell arrows, it will only trigger the bot sell on gain when you've set TV_GAIN
Stock Market Trend Analysis Trading System 101 (by ChartArt)This is a very simple trading system which is measuring the core of uptrends and downtrends using three basic elements: Close price, HL2 price, Pivot price.
Depending if the uptrend or downtrend is strong, the buy/sell signals are shown in different colors. The stronger trends are in brighter colors (lime and fuchsia). If the trend just fully changed direction from uptrend to downtrend (or vice versa), there is a background color highlight in the color of the new trend direction.
The trend detection should work best on monthly charts. I have created this in under an hour. My goal was to use the least amount of rules possible, therefore there are many false signals and the code is quite lazy.
You can lose all your money if you rely on these buy/sell signals!
Scalp EA for 15 Minute Timeframes and HigherSo I have written this indicator based upon the percentages of the High and the Low of the candlestick with respect to the open price. This indicator by no means tries to find top's and bottom's;however, it does find good opportunities for 5-20 pips reversals or continuations. The signal is provided without delay and should only be based upon the closing of the candle. For example, at open- the indicator will tell you "buy, sell, or remain flat" but you should only buy or sell when the candle has completely closed.
Choose whether to use it for scalps, or to set up larger trades with bigger time frames and support or resistance zones.
*Warning*- This is untested and will remain untested due my unavailability.
Reason behind the coding: As I trader, I like to think that I am always "buying low and selling high"or "selling high and buying low". Throughout my trading experiences, I can tell you that I have done the opposite many times. This indicator helps me in finding opportunities as I have written it to always Sell at the closing price of a green candle and always to buy at the close of a red candle. The indicator makes the attempt to Sell High and Buy Low.
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure.
How It Works
The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD).
Volume Z-Score
The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction.
Cumulative Volume Delta (CVD)
CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure.
Cluster Categories
The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret:
🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum.
🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum.
🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent.
🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics.
Key Features & Customization
The script offers several customizable settings to tailor the analysis to your specific trading style:
Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context.
CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure.
High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Cumulative Buy/Sell — with HTF Confirmation ArrowsOrange line = HTF Delta (15m default).
• Blue line = Chart Delta (5m default).
• Green arrow ↑ = Buyers confirmed (both chart + HTF Delta positive).
• Red arrow ↓ = Sellers confirmed (both chart + HTF Delta negative).
This makes the arrows appear only when both timeframes agree, which removes a lot of false noise.
Multiplied and Divided Moving Average ### Multiplied and Divided Moving Average Indicator
**Description**:
The "Multiplied and Divided Moving Average" indicator is a customizable tool for TradingView users, designed to create dynamic bands around a user-selected moving average (MA). It calculates a moving average (SMA, EMA, WMA, VWMA, or RMA) and generates a user-defined number of lines above and below it by multiplying and dividing the MA by linearly spaced factors. These bands serve as potential support and resistance levels, aiding in trend identification, mean reversion strategies, or breakout detection. Optional Buy/Sell labels appear when the price crosses below the divided MAs (Buy) or above the multiplied MAs (Sell), providing clear visual cues for trading opportunities.
**Key Features**:
- **Flexible MA Types**: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), Volume-Weighted (VWMA), or Running (RMA) moving averages.
- **Customizable Bands**: Set the number of lines (0–10) above and below the MA, allowing tailored analysis for any market or timeframe.
- **Dynamic Factors**: Bands are created using factors that scale linearly from 1 to a user-defined maximum (default: 5.0), creating intuitive overbought/oversold zones.
- **Buy/Sell Signals**: Optional labels highlight potential entry (Buy) and exit (Sell) points when the price crosses the bands.
- **Clear Visuals**: The main MA is plotted in blue, with green (multiplied) and red (divided) lines using graduated transparency for easy differentiation.
**Inputs**:
- **MA Type**: Select the moving average type (default: SMA).
- **MA Length**: Set the MA period (default: 14).
- **Number of Lines Above/Below**: Choose how many bands to plot above and below the MA (default: 4, range: 0–10).
- **Max Factor**: Define the largest multiplier/divisor for the outermost bands (default: 5.0).
- **Source**: Select the price data for the MA (default: close).
- **Show Buy/Sell Labels**: Enable or disable Buy/Sell labels (default: true).
**How It Works**:
1. Calculates the chosen moving average based on user inputs.
2. Creates up to 10 lines above the MA (e.g., MA × 2, ×3, ×4, ×5 for `numLines=4`, `maxFactor=5`) and 10 below (e.g., MA ÷ 2, ÷3, ÷4, ÷5).
3. Plots the main MA in blue, multiplied lines in green, and divided lines in red, with transparency increasing for outer bands.
4. If enabled, displays "Buy" labels when the price crosses below any divided MA and "Sell" labels when it crosses above any multiplied MA, positioned at the outermost band.
**Use Cases**:
- **Trend Analysis**: Use the bands as dynamic support/resistance to confirm trend direction or reversals.
- **Mean Reversion**: Identify overbought (near multiplied MAs) or oversold (near divided MAs) conditions.
- **Breakout Trading**: Monitor price crossovers of the outermost bands for potential breakout signals.
- **Signal Confirmation**: Use Buy/Sell labels for swing trading or to complement other indicators.
**How to Use**:
1. Copy the script into TradingView’s Pine Editor.
2. Compile and apply it to your chart (e.g., stocks, forex, crypto).
3. Adjust inputs like `numLines`, `maxFactor`, or `maType` to fit your strategy.
4. Enable `Show Buy/Sell Labels` to visualize trading signals.
5. Test on various timeframes (e.g., 1H, 4H, 1D) and assets to optimize settings.
**Example Settings**:
- **Swing Trading**: Use `numLines=3`, `maxFactor=4`, `maType=EMA`, `maLength=20` on a 4-hour chart.
- **Intraday**: Try `numLines=2`, `maxFactor=3`, `maType=SMA`, `maLength=10` on a 15-minute chart.
**Notes**:
- **Performance**: Supports up to 20 bands (10 above, 10 below), staying within TradingView’s 64-plot limit.
- **False Signals**: In choppy markets, frequent crossovers may occur. Combine with trend filters (e.g., ADX, higher-timeframe MA) to reduce noise.
- **Enhancements**: Add alerts via TradingView’s alert system for Buy/Sell signals, or experiment with different `maxFactor` values for volatility.
**Limitations**:
- Bands are reactive, as they’re based on a moving average, so confirm signals with other indicators.
- High `numLines` values may clutter the chart; use 2–4 for clarity.
- Signals may lag in fast-moving markets due to the MA’s smoothing effect.
This indicator is perfect for traders seeking a customizable, visually clear tool to enhance technical analysis on TradingView. For support, feature requests (e.g., alerts, custom colors), or community discussion, visit TradingView’s forums or contact the script author.
Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)"
Instructions for use (Professional Manual)
1. a basic concept
By vertical axis (price), shows the cumulative trading volume traded in the segment.
The longer the block, the more transactions took place in that price range.
Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage).
2. Key components
POC (Point of Control)
→ Longest block (most traded price segment, "key selling point").
VAH / VAL (Value Area High/Low)
→ Top/bottom segments where approximately 70% of the total volume is formed.
→ Role of "Major Support/Resistance".
High Capacity Node (HVN)
→ Significantly higher trading volumes → strong support/resistance.
Low Volume Node (LVN)
→ Low volume section → areas where prices are easily passed.
3. practical application
Find Support/Resistance
The thickest block (POC) is used as a place where prices often rebound/resist.
a trading entry/liquidation strategy
Buy if the price is supported near HVN,
When breaking through the LVN, fast movement (gap movement) can be expected.
break/goal setting
Finger = Under the LVN,
Target = Next HVN.
Judgment of trends
When the block distribution is concentrated above, "Increase to Collection Section"
If you're driven below, you're "in a downtrend to a variance section."
4. Precautions
The volume distribution is "past data based" and is not an indicator of the future.
Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns.
In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall.
In summary, this block indicator is "a map showing the most market participants at any price point".
In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
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 🚀
Best regards
Chervolino
