Range: OHLC vs Previous OHLC - Version 2Version 1 here -
This is essentially the same as version 1 with one update. You have the freedom to independently choose OHLC for current candle and prior candle.
To elaborate further, Version 1 had 1 choice. For example, Close; you could only compare the close of prior candle to the current candle.
Version 2; you can compare close of the current candle to the low of the prior candle.
Поиск скриптов по запросу "range"
Maxtra Range Breakout StrategyRange Breakout Strategy
This strategy identifies periods of price consolidation (range) and enters trades when the price breaks above or below the defined range. A breakout above the range signals a potential uptrend (buy), while a breakout below indicates a potential downtrend (sell). It helps capture strong directional moves following low-volatility phases.
Range & Consolidation DetectorHello friends,
I’m excited to share my latest discovery with you — the Range & Consolidation Detector. This script is built on a unique methodology I’m truly proud of. It uses no traditional indicators like ADX, RSI, or ATR — just pure statistics and mathematics under the hood. No parameters to tweak, no settings to guess — it just works, right out of the box.
🛠️ How It Works
At its core is a proprietary formula that reliably identifies ranging conditions across all tickers and timeframes. It’s simple, robust, and consistent — exactly what traders need to spot sideways markets without noise or lag.
🔥 Key Features
Pine Script v6 – Uses the latest version for maximum performance
Zero configuration – No inputs to adjust, no hidden settings — the algorithm works automatically
Optimized performance – Runs efficiently for smooth charting
Universal compatibility – Works flawlessly on any asset and timeframe, in every market condition — from euphoric peaks to choppy ranges
📸 Visual Examples
If you’d like access or have any questions, feel free to reach out to me directly via DM.
👋 Good luck and happy trading!
Платный скрипт
Range Sentiment | FractalystWhat’s the purpose of this indicator?
This indicator aims to calculate the percentage level of bullish or bearish fluctuations within equally divided price sections, in the latest price range.
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How does this indicator calculate the current sentiment?
This indicator calculates the current sentiment by identifying the highest swing high and the lowest swing low, then evenly dividing the distance between them into percentage amounts. If the price is above the 50% mark, it indicates bullishness, whereas if it's below 50%, it suggests bearishness.
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Is this sentiment the same as the ones on online websites?
No, the sentiment as discussed earlier, is based on analyzing price action on charts and calculating the current range in percentage.
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What methods do other websites typically use to determine market sentiment?
1. Broker Data Aggregation: Compiling data from various forex brokers to assess the percentage of long and short positions taken by traders.
2. Lot Size Analysis: Considering the size of positions taken by traders, where a significant number of large positions in one direction may indicate strong bullish or bearish sentiment.
3. Order Flow Analysis: Tracking the flow of orders in the forex market, with an increase in buy orders suggesting bullish sentiment and a surge in sell orders indicating bearish sentiment.
4. Sentiment Surveys: Conducting surveys among forex traders to gather opinions about future price movements and gauge sentiment.
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What are the options to display the current market sentiment?
1. Table - located at top centre of your charts
2. Label - indicating the 50% level of the current range mentioned above
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How can I analyze how the sentiment worked on historical data?
There are 3 available options:
1. Shapes
2. Candles
3. Background
- White colour/transparent background denote a weak or uncertain trend, where the bullish or bearish degree is less than 60%.
- Blue colour indicates that the price is trading bullish.
- Red colour indicates that the price is trading bearish.
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On what market and timeframe this indicator operates on?
The Range Sentiment indicator is applicable to all markets and timeframes.
When switching between timeframes, the values remain consistent because it utilizes the daily bias to determine the sentiment for the current day.
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How can I use this indicator?
1. Add "Range Sentiment | Fractalyst" to your TradingView chart.
2. Choose the pair you want to analyze or trade intraday/during session.
3. Make sure the sentiment is showing you a bullish or a bearish degree of higher than 60%.
(To avoid potentially choppy price action)
4. Use your favourite entry model to trade in the same direction that the sentiment is showing you.
5. Determine your take profit based on the daily swing level OR previous daily high if the bullish degree is above +60% and previous daily low if the bearish degree is +60%.
6. Risk adjustment and Trade management based on your personal preferences.
Example:
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User-input settings and customizations
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What makes this indicator original?
1. It utilizes the daily timeframe's current range to determine the day's bias degree in percentage.
2. Apart from presenting the current sentiment in a sentimental table, it also visualizes the 50% threshold as a label, indicating where price may shift direction from a sentiment perspective.
3. It offers the feature to analyze historical data, allowing users to observe indicator performance through shapes, candles, and background colors.
4. By integrating market sentiment directly into the charts, it simplifies the trading process, removing the reliance on online websites and services for sentiment analysis, which often rely on limited brokerage data and resources.
5. Unlike most sentiment websites that primarily focus on forex pairs sentiment data, this indicator stands out by its capability to analyze sentiment across all markets. Moreover, it provides real-time updates, ensuring traders have access to the latest sentiment information regardless of the market they are trading in.
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
Range Gap/Open to Close/Close to CloseThis indicator shows the percentage variation of:
gap
close to close (day including gap)
open to close (without gap)
The green bars represent the days when the variation did not reach the selected range. The red bars show the days when the variation was higher than the selected range.
Best timeframe : DAY
Range support and resistanceWelcome all
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This script specially is for Kunal Saraogi Senani Traders and beginners.
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With this script you can find support and resistance for input range on any time-frame chart.
You need not draw line by own. You just input your desired range and this script will do your work automatically.
You can adjust range according to your choice.
Also have an option to select range source which help you to find support and resistance on the basis of close price or high/low of input range. Default range source is close price.
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Latest support and resistance value labels also display on the chart.
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To use this script, add to favorite and apply on chart.
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Feel free to comment your suggestions.
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Thanks all
Range Identifying For cheese trade, range is a important sign.
This is the first version trying to identify the range.
Use 2 white lines to show the range's high and low.
Hope this helps, and welcome comment.
Range EstimateAs a trader I need to know what are the best ranges to get in or out
So this tool try to help a little bit .
First we have Pivot points (all forms with fib ,traditional etc)
next is percentage channel (uper=upper % from close and Lper=lower % from close) , in btc I use 3% up or low for 1 hour candles as it give me good range of lower and upper bound . This you need to change for different TF or different assets
next we have Bollinger upper and lower (Bup= Bollinger upper and Blow=Bollinger lower) it has also MTF function
last we MA =,20,50,100,200
in total the aim of this indicator is to give fast glance on the numbers that important to you as trader fast with a clean graph so you can add your indicator to it to see better how they work
The info panel you can change the font size, you can change distance by offset
and the position on the graph , you need to adjust with position -in this case since it btc I put number of 8700
let say it ETH then I put a number 5% above the close number
if it XRP = then the same trick , lets say 0.3 etc
Range Oscillator Strategy + Stoch Confirm🔹 Short summary
This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades.
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0. Legal / risk disclaimer
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• This script is FREE and public. I do not charge any fee for it.
• It is for EDUCATIONAL PURPOSES ONLY.
• It is NOT financial advice and does NOT guarantee profits.
• Backtest results can be very different from live results.
• Markets change over time; past performance is NOT indicative of future performance.
• You are fully responsible for your own trades and risk.
Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital.
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1. About default settings and risk (very important)
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The script is configured with the following defaults in the `strategy()` declaration:
• `initial_capital = 10000`
→ This is only an EXAMPLE account size.
• `default_qty_type = strategy.percent_of_equity`
• `default_qty_value = 100`
→ This means 100% of equity per trade in the default properties.
→ This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade.
TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to:
1. Open **Strategy Settings → Properties**.
2. Set:
• Order size: **Percent of equity**
• Order size (percent): e.g. **1–2%** per trade
3. Make sure **commission** and **slippage** match your own broker conditions.
• By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets.
If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading.
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2. What this strategy tries to do (conceptual overview)
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This is a LONG-ONLY strategy designed to explore the combination of:
1. **Range Oscillator (Zeiierman-based)**
- Measures how far price has moved away from an adaptive mean.
- Uses an ATR-based range to normalize deviation.
- High positive oscillator values indicate strong price expansion away from the mean in a bullish direction.
2. **Stochastic as a timing filter**
- A classic Stochastic (%K and %D) is used.
- The logic requires %K to be below a user-defined level and then crossing above %D.
- This is intended to catch moments when momentum turns up again, rather than chasing every extreme.
3. **EMA Exit Filter (trend slope)**
- An EMA with configurable length (default 70) is calculated.
- The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition.
- This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted.
4. **Optional risk-management layer**
- Percentage-based Stop Loss and Take Profit (SL/TP).
- Risk/Reward (R-multiple) exit based on the distance from entry to SL.
- Implemented as OCO orders that work *on top* of the logical exits.
The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes.
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3. Components and how they work together
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(1) Range Oscillator (based on “Range Oscillator (Zeiierman)”)
• The script computes a weighted mean price and then measures how far price deviates from that mean.
• Deviation is normalized by an ATR-based range and expressed as an oscillator.
• When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction.
• When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled).
(2) Stochastic confirmation
• Classic Stochastic (%K and %D) is calculated.
• An entry requires:
- %K to be below a user-defined “Cross Level”, and
- then %K to cross above %D.
• This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point.
(3) EMA Exit Filter
• The EMA length is configurable via `emaLength` (default 70).
• The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA.
• If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition.
• This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit.
(4) Risk management (optional)
• Stop Loss (SL) and Take Profit (TP):
- Defined as percentages relative to average entry price.
- Both are disabled by default, but you can enable them in the Inputs.
• Risk/Reward Exit:
- Uses the distance from entry to SL to project a profit target at a configurable R-multiple.
- Also optional and disabled by default.
These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first.
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4. Entry & Exit logic (high level)
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A) Time filter
• You can choose a **Start Year** in the Inputs.
• Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`).
• This prevents accidental use of tiny cherry-picked windows and makes tests more honest.
B) Entry condition (long-only)
A long entry is allowed when ALL the following are true:
1. `timeCondition` is true (inside the backtest window).
2. If `useOscEntry` is true:
- Range Oscillator value must be above `entryLevel`.
3. If `useStochEntry` is true:
- Stochastic condition (`stochCondition`) must be true:
- %K < `crossLevel`, then %K crosses above %D.
If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`.
C) Exit condition (logical exits)
A position can be closed when:
1. `timeCondition` is true AND a long position is open, AND
2. At least one of the following is true:
- If `useOscExit` is true: Oscillator is below `exitLevel`.
- If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`).
In that case, `strategy.close("Long")` is called.
D) Risk-management exits
While a position is open:
• If SL or TP is enabled:
- `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages.
• If Risk/Reward exit is enabled:
- `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance.
These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels.
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5. Recommended backtest configuration (to avoid misleading results)
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To align with TradingView House Rules and avoid misleading backtests:
1. **Initial capital**
- 10 000 (or any value you personally want to work with).
2. **Order size**
- Type: **Percent of equity**
- Size: **1–2%** per trade is a reasonable starting point.
- Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice.
3. **Commission & slippage**
- Commission: around 0.1% if that matches your broker.
- Slippage: a few ticks (e.g. 3) to account for real fills.
4. **Timeframe & markets**
- Volatile symbols (e.g. crypto like BTCUSDT, or major indices).
- Timeframes: 1H / 4H / **1D (Daily)** are typical starting points.
- I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes.
5. **No “caution warning”**
- Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages.
- If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period.
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5a. About low trade count and rare signals
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This strategy is intentionally designed to trade RARELY:
• It is **long-only**.
• It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter).
• On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest.
TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case:
• The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window.
• The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals.
• Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data.
Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample.
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6. How to use this strategy (step-by-step)
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1. Add the script to your chart.
2. Open the **Inputs** tab:
- Set the backtest start year.
- Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter.
- Optionally enable SL, TP, and Risk/Reward exits.
3. Open the **Properties** tab:
- Set a realistic account size if you want.
- Set order size to a realistic % of equity (e.g. 1–2%).
- Confirm that commission and slippage are realistic for your broker.
4. Run the backtest:
- Look at Net Profit, Max Drawdown, number of trades, and equity curve.
- Remember that a low trade count means the statistics are not very strong.
5. Experiment:
- Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params.
- See how the metrics and trade frequency change.
6. Forward-test:
- Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time.
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7. Originality and usefulness (why this is more than a mashup)
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This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component:
• Range Oscillator:
- Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric.
• Stochastic:
- Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn.
• EMA Exit Filter:
- Trend-slope-based safety net to exit when the medium-term direction changes against the position.
• Risk module:
- Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic.
It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product.
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8. Limitations and good practices
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• No single strategy works on all markets or in all regimes.
• This script is long-only; it does not short the market.
• Performance can degrade when market structure changes.
• Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit.
Good practices:
- Test on multiple symbols and timeframes.
- Focus on stability and drawdown, not only on how high the profit line goes.
- View this as a learning tool and a basis for your own research.
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9. Licensing and credits
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• Core oscillator idea & base code:
- “Range Oscillator (Zeiierman)”
- © Zeiierman, licensed under CC BY-NC-SA 4.0.
• Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer:
- Modifications by jokiniemi.
Please respect both the original license and TradingView House Rules if you fork or republish any part of this script.
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10. No payments / no vendor pitch
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• This script is completely FREE to use on TradingView.
• There is no paid subscription, no external payment link, and no private signals group attached to it.
• If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice.
Use this script as a tool to learn, experiment, and build your own understanding of markets.
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11. Example backtest settings used in screenshots
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To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration:
• Symbol: BTCUSDT (or similar major BTC pair)
• Timeframe: 1D (Daily)
• Backtest period: from 2018 to the most recent data
• Initial capital: 10 000
• Order size type: Percent of equity
• Order size: 2% per trade
• Commission: 0.1%
• Slippage: 3 ticks
• Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default
• Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled
If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Range Percent Histogram📌 Range Percent Histogram – Indicator Description
The Range Percent Histogram is a custom indicator that behaves like a traditional volume histogram, but instead of showing traded volume it displays the percentage range of each candle.
In other words, the height of each bar represents how much the price moved (in percentage terms) within that candle, from its low to its high.
🔧 What it shows
The indicator has two main components:
Component Description
Histogram Bars Columns plotted in red or green depending on the candle direction (green = bullish candle, red = bearish). The height of each bar = (high - low) / low * 100. That means a candle that moved, for example, 1 % from its lowest point to its highest point will show a bar with 1 % height.
Moving Average (optional) A 20-period Simple Moving Average applied directly to the bar values. It can be turned ON/OFF via a checkbox and helps you detect whether current range activity is above or below the average range of the past candles.
⚙️ How it works
Every time a new candle closes, the indicator calculates its range and converts it into a percentage.
This value is drawn as a column under the chart.
If the closing price is above the opening price → the bar is green (bullish range).
If the closing price is below the opening price → the bar is red (bearish range).
When the Show Moving Average option is enabled, a smooth line is plotted on top of the histogram representing the average percentage range of the last 20 candles.
📈 How to use it
This indicator is very helpful for detecting moments of range expansion or contraction.
One powerful way to use it is similar to a volume exhaustion / low-volume pattern:
Situation Interpretation
Consecutive bars with very low height Price is in a period of low volatility → possible accumulation or "pause" phase.
A sudden large bar after a series of small ones Indicates a strong pickup in volatility → often marks the start of a new impulse in the direction of the breakout.
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 + VWAP + Gann Levels + ZL AMA + Gann Square Num# Multi-Strategy Market Analysis Indicator
## Overview
This comprehensive indicator combines several powerful technical analysis tools to help traders identify potential price movements, market trends, and key support/resistance levels. By integrating price range prediction, volume-weighted averages, adaptive moving averages, and Gann-based mathematical levels, this indicator provides a complete toolkit for market analysis.
## Components & How They Work
### 1. Range Calculator
**What it does:** Calculates the expected price range based on current volatility, useful for predicting potential price movements during a specific time period.
**How it works:**
- Uses the current price level and VIX (Volatility Index) to estimate how far the price might move in a given number of days
- Applies the square root of time principle (volatility grows with the square root of time)
- Displays upper and lower bounds of the expected price range
- Shows the calculation details in a convenient table
**How to use it:**
- Enter the current price level, VIX value, and number of days
- red line indicates potential resistance
- green line indicates potential support
- Useful for options trading, setting stop-loss levels, or preparing for upcoming market events
### 2. Gann Square Numbers
**What it does:** Identifies mathematically significant price levels based on square numbers.
**How it works:**
- Takes the square root of the current price
- Calculates the next 5 square numbers above the current price (upper levels)
- Calculates the 5 square numbers below the current price (lower levels)
- Draws these levels as horizontal lines on the chart
**How to use it:**
- Pink lines (upper levels) show potential resistance levels
- Blue lines (lower levels) show potential support levels
- These mathematical levels often coincide with significant market reactions
- Based on W.D. Gann's theory that price tends to respect mathematical square numbers
### 3. Zero Lag Adaptive Moving Average (AMA)
Bullish Scenario
Bearish Scenario
**What it does:** Provides a dynamic moving average that adapts to changing market conditions, reducing lag during trends while filtering noise during sideways markets.
**How it works:**
- Calculates an "Efficiency Ratio" that measures the directional movement relative to volatility
- Adjusts the smoothing factor based on market efficiency
- Uses a faster smoothing factor during trending markets and slower smoothing during sideways markets
- Background color changes to indicate the trend direction (green for uptrend, red for downtrend)
**How to use it:**
- When price is above the AMA line with green background: Strong uptrend
- When price is below the AMA line with red background: Strong downtrend
- Helpful for trend identification and potential entry/exit points
### 4. Gann Stepline Levels
**What it does:** Creates dynamic support and resistance levels based on multiple SMAs (Simple Moving Averages) of different lengths.
**How it works:**
- Calculates two key dynamic levels:
- Gann 50% Level: Average of 90 and 144-period SMAs
- Gann Level: Average of six different SMAs (90, 144, 180, 216, 240, 288)
- These levels adjust automatically as the market evolves
**How to use it:**
- Blue line (Gann 50% Level) acts as dynamic support in uptrends and resistance in downtrends
- Orange line (Gann Level) serves as a longer-term trend indicator
- Price interaction with these levels often indicates potential reversal or continuation points
### 5. Anchored VWAP (Volume-Weighted Average Price)
**What it does:** Shows the average price weighted by volume starting from a specific anchor point.
**How it works:**
- Calculates the average price weighted by volume from a chosen anchor period (Session, Day, Week, Month)
- Resets calculations at the beginning of each new period
- Shows where the current price is relative to the average trading price
**How to use it:**
- Price above VWAP: Bullish bias, buyers are in control
- Price below VWAP: Bearish bias, sellers are in control
- VWAP often acts as dynamic support/resistance level
- Institutional traders often use VWAP for order execution
## Key Benefits
- **Comprehensive Analysis:** Combines volatility-based, trend-following, volume-weighted, and mathematical approaches
- **Multi-timeframe Perspective:** Different components operate on various timeframes for a complete market view
- **Visual Clarity:** Color-coded lines and background help quickly identify market conditions
- **Customizable Components:** Range Calculator, VWAP, and Gann Square Numbers can be adjusted to fit your trading style
## How to Interpret When Used Together
- **Strong Trend Confirmation:** When AMA shows a trend and price respects the Gann Dynamic levels
- **Reversal Signals:** When price reaches the expected range bounds and encounters a Gann Square Number
- **High-Probability Zones:** Areas where multiple components show support/resistance at similar levels
- **Volatility Assessment:** Compare the expected range from the Range Calculator with the actual price movement
This indicator combines statistical, trend-following, and mathematical approaches to market analysis, providing traders with a well-rounded view of market conditions and potential price movements.
Range Filter Buy and Sell 5min## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
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### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
---
### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
---
### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
---
### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
---
### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
---
### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀
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?
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 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 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-scannerThis indicator shows you the range of the chart based on your specifications in minutes. For example, if you set 30 minutes, the indicator will show you the range of the last 30 minutes in real time, as well as the high and low prices for the same period.
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 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 PlotToday's first 75 minutes candle high in darker blue color and today's first 75 minutes candle low in darker red color.
Previous trading session last 75 minutes candle high in green color and previous trading session last 75 minutes candle low in orange color.
Today's marking are in blue n red little darker and previous day's last candle marking are in orange and red.
You are likely to familiar with the opening range of 5 min, 15 min, or even of 60 min also. In the opening range, we use today's' candle only. In the range plot, we have made a little addition of previous trading session last candle also. And we got very good results.
Price doesn't know what we have plotted. we just try to make our trading decisions around this area.
Range plot give very good signal in trending scripts and it helps to keep us out from ranging stock.
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






















