Range Detection [No Repaint]DETECTS RANGE EARLY
Using Confirmed Data:
All calculations now use to reference the previous completed candle
Signals are only generated based on completed candles
Range state is stored and confirmed before displaying
Key Changes to Prevent Repainting:
ATR calculations use previous candle data
Bollinger Bands calculate from previous closes
Price range checks use previous highs and lows
Range state is confirmed before displaying
How to Verify No Repainting:
Signals will only appear after a candle closes
Historical signals will remain unchanged
Alerts will only trigger on confirmed changes
This means:
The indicator will be slightly delayed (one candle)
But signals will be more reliable
Historical analysis will be accurate
Backtesting results will match real-time performance
Usage Tips with No-Repaint Version:
Wait for candle close before acting on signals
Use the confirmed range state for decision making
Consider the one-candle delay in your strategy timing
Alerts will only trigger on confirmed condition changes
Would you like me to:
Add a parameter to choose between real-time and no-repaint modes?
Add visual indicators for pending vs confirmed signals?
Modify the sensitivity of the range detection?
Tìm kiếm tập lệnh với "range"
Range Force Impulse The "Range Force Impulse" indicator combines 4 useful indicators into one, freeing up chart real-estate and giving the trader insight into trend health, bull/bear commitment, range and volatility all at a glance.
The indicator consists of the following:
Direction - True Range and Average True Range columns shown above and below 0 depending on direction of the period's price
-- TR (gray) shows the current period's trading volatility
-- ATR (Impulse colors, see below) shows an EMA of TR over a specified length
-- Can be used to determine stops and targets (Example: Stop loss at prev close - ATR, Target at 2x ATR)
Index - Alexander Elder's EMA of (change(close) * volume), shows crosses above 0 (green) and below 0 (red), and intermediate signals
-- Shows bull vs. bear interest/commitment/dominance
-- Elder recommends EMA length of 2 for daily chart buy/sell signals, and 13 for weekly chart bull/bear dominance & trend direction signals
-- Intermediate signals are shown above 0 when falling (salmon), or below 0 when rising (pale yellow)
System - Range columns are colored using Alexander Elder's censorship system (green: do not short, red: do not long, blue: is up to you)
-- Shows overall trend health (Macd histogram and EMA up/down changes)
Range Marker by Vinay SinghThis indicator marks back and forth range on given timeframes. good indicator to test range breakout.
Range EncapsulatorWhen a user selects a start date and the desired duration, the specified date range will be highlighted. High and low data lines corresponding to this range will be drawn. Additionally, quarter-point interval lines from the previous data range will be displayed between the high and low lines of the current range, provided they fall within those boundaries.
Range TableThe Range Table indicator calculates and displays the Daily Average True Range (ATR), the current day's True Range (TR), and two customizable ATR percentage values in a clean table format. It provides values in ticks, points, and USD, helping traders set stop-loss buffers based on market volatility.
**Features:**
- Displays the Daily ATR (14-period) and current day's True Range (TR) with its percentage of the Daily ATR.
- Includes two customizable ATR percentages (default: 75% and 10%, with the second disabled by default).
- Shows values in ticks, points, and USD based on the symbol's tick size and point value.
- Customizable table position, background color, text color, and font size.
- Toggle visibility for the table and percentage rows via input settings.
**How to Use:**
1. Add the indicator to your chart.
2. Adjust the table position, colors, and font size in the input settings.
3. Enable or disable the 75% and 10% ATR rows or customize their percentages.
4. Use the displayed values to set stop-loss or take-profit levels based on volatility.
**Ideal For:**
- Day traders and swing traders looking to set volatility-based stop-losses.
- Users analyzing tick, point, and USD-based risk metrics.
**Notes:**
- Ensure your chart is set to a timeframe that aligns with the daily ATR calculations.
- USD values are approximate if `syminfo.pointvalue` is unavailable.
Developed by FlyingSeaHorse.
Range Filter + ATR Strategy (Low Drawdown)Key Features for Low Drawdown:
Range Filter: Identifies trends while filtering out market noise
ATR-based Position Sizing: Adjusts position size based on volatility to risk a fixed percentage of capital
Trailing Stops: Uses ATR-based trailing stops to lock in profits and limit losses
Conservative Risk Parameters: Defaults to 1% risk per trade (adjustable)
Trend Confirmation: Requires two consecutive closes above/below the range filter
How to Use:
The strategy enters long when price is above the upper range filter for two consecutive bars
Enters short when price is below the lower range filter for two consecutive bars
Uses ATR to size positions appropriately for current volatility
Implements trailing stops based on ATR to protect profits
Optimization Tips:
Adjust the Range Filter period based on your timeframe
Modify the risk percentage (1% is conservative)
Tweak the ATR multiple for trailing stops (1.5 is moderate)
Consider adding a time-based exit if drawdown is still too high
Range Strat - MACD/RSIThis strategy uses a trend based indicator (MACD) for entry/exit signals with a momentum oscillator (RSI) to act as confirmation. Although relying on a trend based indicator this has been created for range bound crypto markets, which have been in a period of chop since June 2022.
Long/Short signals are generated from MACD with the RSI oscillator thresholds suppressing entries at price extremes. This is not a mean reversion RSI strategy! As the indicators are contrary to each other you will need to be generous with the RSI settings in order for signals to trigger.
Strategy is designed for use on the 4h timeframe, it may work well on higher timeframes, but lower time frames will lead to false signals. Use fixed percentage of equity for order size to capture the compounding effect. As a reversal strategy bear in mind that should market trend strongly in either direction stops will be required.
The RSI thresholds can be tailored to provide higher frequency or safer signals. Similarly tweaking MACD settings will provide earlier/more frequent or safer signals. As this is intended to enter near range high / low you should check the visual cues to ensure a ping-pong effect is observed, so that peaks and troughs are captured. Once an observable range is established the strategy works well across a range of crypto markets,
The script is open source, so feel free to amend as you wish. Using a different momentum oscillator may provide better results. I have prior coding experience, but first time using PineScript was last night, so it's not very tidy. I will update this with some additional customisation and TP/SL in the near future.
Usage: Range bound markets
Markets: Cryptocurrency Alts/BTC/ETH
Timeframe: 4h
Range over Volume This is a scalping aid for NQ in the 1 minute time range for the Globex session.
Mathematically, the plot is range in ticks divided by 0.1*volume
This returns a histogram plot for RoV (range over volume)
The idea is that candles that ascribe a larger range with minimal volume does because there is unilateral aggression from the buy side, or sell side, and the subsequent behavioural outcome of this will either be an extension of that aggression unilaterally, or commonly, a counter to that aggression!
Wait for a candle to close with the RoV above 4.00. For that candle which formed the RoV above 4.00, plot the highs and lows of that candle and draw a 1.618x and -0.618x Fibonacci extension across it.
Enter short on the -0.618x and take profits at the -1.618x. Use the low of the ROV > 4 candle as a protective stop
Enter long on the 1.618 and take profits at 2.618. Use the high of the ROV > 4 candle as a protective stop
Range filter v2This version give us signal by the cross of super trend and range filter . since both system try to do the same but calculated different , I was thinking why not to cross them each other by the same way we do with MA length
if you want to see the real trend just remove the // from the plot of super trend and the range finder
alerts and take profit inside
Range Breakout StrategyAfter consecutive candle closes it creates a range, and if price breaks out of it it enters with fixed take profit.
Range Trends Enhanced (eleven11)This indicator automatically draws your Range Trend lines based upon your timeframe. When you select a timeframe, in the options, those lines will be locked in, whenever you switch timeframes on the chart. This allows you to "lock in" a timeframe's trendlines and then view it on different timeframes. But if you want to view the current trendlines for a timeframe then you need to select that "lockdown" timeframe in the settings. The original code was created by eleven11
Range Channel by Atilla YurtsevenThis script creates a dynamic channel around a user-selected moving average (MA). It calculates the relative difference between price and the MA, then finds the average of the positive differences and the negative differences separately. Using these averages, it plots upper and lower bands around the MA as well as a histogram-like oscillator to show when price moves above or below the average thresholds.
How It Works
Moving Average Selection
The indicator allows you to choose among multiple MA types (SMA, EMA, WMA, Linear Regression, etc.). Depending on your preference, it calculates the chosen MA for the selected lookback period.
Relative Difference Calculation
It then computes the percentage difference between the source (typically the closing price) and the MA. (diff = (src / ma - 1) * 100)
Positive & Negative Averages
- Positive differences are averaged and represent how far the price typically moves above the MA.
- Negative differences are similarly averaged for when price moves below the MA.
Range Channel & Oscillator
- The channel is plotted around the MA using the average positive and negative differences (Upper Edge and Lower Edge).
- The “Untrended” histogram plots the difference (diff). Green bars occur when price is above the MA on average, and red bars when below. Two additional lines mark the upper and lower average thresholds on this histogram.
How to Use
Identify Overbought/Oversold Zones: The upper edge can serve as a dynamic overbought level, while the lower edge can suggest potential oversold conditions. When the histogram approaches or crosses these levels, it may signal price extremes relative to its average movement.
Trend Confirmation: Compare price action relative to the channel. If price and the histogram consistently remain above the MA and upper threshold, it could indicate a stronger bullish trend. If they remain below, it might signal a prolonged bearish trend.
Entry/Exit Timings:
- Entry: Traders can look for moments when price breaks back inside the channel from an extreme, anticipating a mean reversion.
- Exit: Watching how price interacts with these dynamic edges can help define stop-loss or take-profit points.
Because these thresholds adapt over time based on actual price behavior, they can be more responsive than fixed-percentage bands. However, like all indicators, it’s most effective when used in conjunction with other technical and fundamental tools.
Disclaimer
This script is provided for educational and informational purposes only. It does not guarantee any specific outcome or profit. Use it at your own discretion and risk.
Trade smart, stay safe.
Atilla Yurtseven
Range of body 30min avggives the average range of the past 30bars and indicates when a candle's body is greater than 150% the average.
Range of a source displayed in thirdsThis indicator will take the value of any external source input and display how it has changed over time (the lookback period in settings). For the purposes of display here I'm using the WT1 line from Wavetrend with Crosses by LazyBear to provide a source input.
The highest and lowest value of the source over the lookback period are used to determine the highest and lowest point - the green and red lines at the top and bottom of the bands. This region is then mathematically split into three, such that the source (and its optional moving average line) can be defined as being in the top third, the middle or the bottom third.
Applications for this could be in risk management where you may wish to take on a larger position size when a certain indicator is in the top third, or decide that you want to enter / leave positions when the source crosses in / out of the extreme points.
Range SlicerThis is a tool I quickly put together to work along side of my round number and Quarter Theory Scripts. This script allows you to set a price range between to values and slice them up into equal price zones. Happy Trading!
Range MarkerThis indicator is built for chart traders.
When using price and action to trade, you need to keep the chart scale the same.
So this indicator will help you to mark the range you choose.
Let you keep precise when reading the chart.
Enjoy it!
Range Fib (Nephew_Sam_)This indicator plots Fibonacci values based on a time range
Example: Asian session
If session time is 1700 - 0200, the indicator will find the high and low of that session then plot its fib extension lines and background outside of hours provided.
Currently supports 4 keys levels that can be changed under settings.
If you don't want the lines to display and only the background colors, you can uncheck the lines under the indicator settings -> styles.
Range Breakouts - AshraffThis computes the Range Breakout strategy based on the last five days of stock data.
Range Spikes No NoiseSimilar to Sigma Spikes No Noise, but using range moves vs ATR20, either prior close to high or low and close to high or low.
Filtering out for noise by the treshold value
range forecast Calculate the price range , support and resistence for the current day. At the market open this algo will calculate the next price level with no repaint.
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias.
Core Methodology
The script uses a time-anchored engine to map critical supply and demand boundaries:
Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions.
Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion.
Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility.
Session Dynamics
The system is optimized for the global liquidity cycle:
Session 1 (Asia): Maps early-day consolidation and range-bound liquidity.
Session 2 (Europe): Captures the London Move to identify the trend.
Session 3 (US): Analyzes high-volume New York opens for maximum momentum.
Key Features
Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean.
Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto.
Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability.
Use Cases
Momentum Trading: Identifying the Origin of the Move post-open.
Mean Reversion: Recognizing failed breakouts when price returns inside the range.
Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — Developer Note
Weekly
These daily posts are intentional.
They are not meant to showcase wins, targets, or outcomes.
They are designed to help viewers observe consistency in market behavior—specifically how structure, range, and reaction repeat across different products and timeframes.
The value is not in catching every move.
The value is in knowing when participation is unnecessary or unsupported.
Signal Architect™ tools are built to help traders avoid low-quality decisions, not to encourage constant activity.
________________________________________
What These Posts Are Demonstrating
Over time, if you observe these posts across equities and futures, you’ll begin to notice:
• The same structural traps repeat across different instruments
• The same reactions occur across multiple timeframes
• The same stop-run and absorption behaviors appear regardless of volatility
That repetition is not coincidence.
It reflects how markets consistently behave, even as prices change.
The goal of these posts is to make that behavior familiar—
because familiarity reduces hesitation, overtrading, and unnecessary loss.
Consistency is not the outcome.
Consistency is the environment.
________________________________________
What You’re Seeing (Public View)
These charts display a limited visual preview of tools within the Signal Architect™ framework.
Only visual context is shown.
Core logic, calculations, thresholds, and execution rules are intentionally not disclosed.
The tools emphasize:
• Market structure over prediction
• Environmental awareness over signals
• Risk framing over reward chasing
Nothing shown publicly is meant to tell you what to trade.
It is meant to help you recognize when not to trade.
________________________________________
Why This Matters
Most losses do not come from being wrong on direction.
They come from participating:
• too early
• too late
• during transitions
• inside structural traps
Signal Architect™ tools are designed to filter those moments out.
In many cases, the highest-value action is:
• standing aside
• reducing size
• waiting for clarity
Saving capital is part of execution.
Avoiding a bad trade is often more valuable than finding a good one.
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Background & Scope (Context Only)
Over the years, I’ve developed a wide range of systems and analytical tools spanning:
• Equities
• Futures
• Options structure
• Portfolio construction and allocation logic
This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions.
None of that internal logic is shared publicly.
These posts exist strictly for education, observation, and pattern recognition—not advice, not signals, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
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⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
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🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Weekly (W) — Strategic Regime / “Where price is allowed to live”
Goal: Identify the dominant direction + structural permission for the entire week(s).
How to use:
• Treat weekly RECLAIM as regime confirmation, not an entry.
• If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates.
• If weekly prints Bear RECLAIM, same idea but short-biased.
Best behavior to look for:
• 1–2 reclaim signals per month/quarter.
• Use it as a “macro gate.”
Recommended settings (starting point):
• dispMult 1.2–1.6
• reclaimWindow 20–40
• cooldown 8–20
🟣 WEEKLY — Macro Regime & Liquidity Clearing
1️⃣ Range Indicator (RI)
• <30 → long-term compression (energy building)
• >70 → macro expansion (trend regime active)
Use:
Defines whether markets are coiling or trending on a multi-month scale.
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2️⃣ ZoneEngine (Structure)
• Identifies macro structural bias
• Explains why certain weekly moves fail or accelerate
Use:
Never fight weekly structure. This is your “market weather.”
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3️⃣ Cloud / Reclaim (Behavior)
• Clouds classify regime state, not entries
• Reclaims are informational only on weekly
Use:
Helps label the regime: continuation vs transition.
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4️⃣ Stop-Hunt Proxy
• Represents large-scale liquidity clearing
• Often tied to:
o fund rebalancing
o regime shifts
o macro events
Use:
Context only. Weekly stop-hunts explain why a regime changed — they are not trades.






















