Ranging DetectionRange detection study v 0.1
Trying to find ranges on price charts. looking at H1 on EURUSD, the indicator will mark a line at the low and high of the last 10 candles, and mark the background grey if it detects a range - defined by how many candles since last high/low (default 3)
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Range: OHLC vs Previous OHLCThis will plot your choice of OHLC (or any of the averaging choices) of the current candle compared to the previous candle.
For example if you choose "high" for the input and set the chart to daily, you'll see the currently daily high vs the previous daily high.
Green candle represent a higher high and the length of the candle represents how much higher.
Red candles represent a lower high than the previous day and the length is by how much lower.
This indicator is pretty straight forward, look for me to build on this with something a little more elaborate in the near future.
Range Filter + SuperTrend 合并指标 - 1小时优化结合两种经典指标,适合做山寨币1小时趋势单
Combining two classic indicators, it is suitable for doing 1-hour trend orders of altcoins
Range supply and demandHi all!
This is a very simple indicator. It plots the high timeframe (configurable via the "Timeframe" setting) high/low current timeframe bars (that has the same high/low as the higher timeframe) as supply/demand. The higher timeframe bar that's chosen is the one that's next last. As of now one high and one low zone is plotted.
The defaults are based on useful zones when on daily candles.
You can choose to display the higher timeframe within the zone via the "Show" option.
Hope this is clear enough, let me know otherwise.
Best of luck trading!
Range Level [plx]This indicator automatically draws Fibonacci levels based on your selected timeframe: Monday, Monthly, or Quarterly.
For instance, if you choose Monday, it plots Fibonacci levels (0, 0.25, 0.5, 0.75, 1) based on that day's candle. You can also opt to display titles on the top right of each line for clarity.
Additionally, it offers the feature to show a dashed line between levels for easier visualization of the midpoint.
Designed for educational purposes.
Nadaraya-Watson Envelope: Modified by YosietRange Filter indicator based on the LuxAlgo Nadaraya-Watson Envelope () indicator adding the SMA 30 high and SMA 7 low to predict the changes of the trends lines price.
WARNING: This indicator, as the same as the original, repaints the chart and could affect the exact values of the prices.
SMA Low 7 was identified using tensorflowJS years ago as accurate and abstract rsi indicator
SMA High 30 was identified using tensorflowJS years ago as accurate and strong trend line
This two SMAs were added to the original indicator Nadaraya-Watson to predict the exact points where the price will change direction or will re-test the trend to continue on.
The signals will act as the Williams Fractals, replacing the original signals of the indicator.
For those ICT/SMC traders, the bands and SMAs can toggle off in the settings of this indicator.
SETTINGS
Can set the source of the UPPER band indivuadilly
Can set the source of the LOWER band indivuadilly
Can toggle the visibility of the bands, this will not affect the calculations
Can toggle the visibility of SMAs
ALERTS AND SIGNALS
When the SMA LOW 7 cross under or over the bands, will trigger a signal orange
When the SMA 30 High cross over the upper band, will trigger a short signal purpple
HOW TO USE IT
If the both signals appears (sma 7 low and sma 30 high) crossing the upper band at the same point, this means that the price will drop strongly.
If the sma 7 low cross signal (orange triangle) appears under the price and lower band, means that the price will go up.
The separation of the signals from the chart will suggest the force of the movement. While more distance be, strongest reaction of the price.
DISCLAIMER : This indicator or script does not imply or constitute financial advice, investment advice, trading advice or any other type of advice or recommendation by and for TradingView. Use it at your own risk and your own decision.
Range Based Signals and AlertsThis script produces a compiled version of rule based signals that is meant to be used mainly on 5 Min timeframe based on daily(as default) Highs and Lows on average and the main purpose is to give user settings to change and adapt based on their needs and make it as adjustable as possible. This entry strategy idea does not belong to me but for TV's in-house rule reasons i can't disclose whose idea it is but i think people that will use this indicator will know who the original idea belongs to.
Rules used for signal production:
- Daily(As default) High-Low points
- Moving Average for detecting reversing of price
- MTF MACD (Daily as default) for detecting overall trend
Signals produced based on extensions of price out of daily zones and when they drop or rise back into moving average. A conditional checker is used for reducing repeated unnecessary signals and alerts.
Happy trading.
Range Filter - B&S Signals - 001 - edited I have not description. Publishing so a freind can use it.
Range filter v1The original design here I change the calculation to try to make it more correct
alerts taken from Xavi alerts model of the original
can be use as filter or by its own
Range Action Verification Index (RAVI) Backtest The indicator represents the relative convergence/divergence of the moving
averages of the financial asset, increased a hundred times. It is based on
a different principle than the ADX. Chande suggests a 13-week SMA as the
basis for the indicator. It represents the quarterly (3 months = 65 working days)
sentiments of the market participants concerning prices. The short moving average
comprises 10% of the one and is rounded to seven.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Range Action Verification Index (RAVI) Strategy The indicator represents the relative convergence/divergence of the moving
averages of the financial asset, increased a hundred times. It is based on
a different principle than the ADX. Chande suggests a 13-week SMA as the
basis for the indicator. It represents the quarterly (3 months = 65 working days)
sentiments of the market participants concerning prices. The short moving average
comprises 10% of the one and is rounded to seven.
WARNING:
- This script to change bars colors.
Alan Kelland's BoxThose of you not familiar with Alan Kelland's trading method called the "Alan Square" or "DaBox" may find this indicator interesting. Here is a brief excerpt from the documentation:
Alan Kelland's Box Trading Method
A draw tool growing in popularity is the Alan Square, named after its inventor Alan Kelland. Alan's method is first and foremost price action. The square serves as a structure to create
Opportunities
Targets and
Protection
Percent change bar chart This histogram displays price or % change from previous bar.
Can be applied to any time frame.
Price Depth Analysis to the MAHello Traders! Today, I bring you an indicator that can greatly assist you in your trading. This indicator aims to analyze the Expansion and Contraction process of the price in relation to a moving average. We refer to "Expansion" when the price moves away from the moving average; a significant expansion could signal that the asset is in a strong trend. On the other hand, when we refer to "Contraction", it's when the price approaches or returns to the moving average. A contraction could signal that the asset is losing momentum and might be preparing for a trend change or consolidation.
To use the indicator, the first thing you need to do is define the type of analysis you want to perform (from the indicator settings) whether you want to evaluate prices above the moving average or below. You should also select the type of moving average and its period.
The indicator will search for the maximum distance in all the chart bars, which will be represented with a yellow label.
From that value, the indicator will generate a certain number of proportional levels (configurable up to 20) and will count all the bars that reached each level. This will be represented in a table showing both the number of bars that reached each range and the percentage in relation to the total bars of all ranges.
Additionally, there's the possibility to view the ranges directly for the current price, providing a good reference.
>> Alerts:
The indicator comes with alerts that notify traders about specific price movements in relation to a moving average (MA). These alerts are triggered when the price enters different ranges, either above or below the MA.
>> Settings:
- Type of Analysis: Users can choose to analyze the price either above or below the MA.
- Length of the moving average: Length of the MA.
- Source of the moving average: Source to calculate the MA (e.g., close, open).
- Type of moving average: Type of MA (SMA, EMA, WMA, VWMA, HMA).
- Show Moving Average: Option to display or hide the MA on the chart.
- Number of levels: Number of levels or ranges to categorize the distance between the price and the MA.
- Number of decimals: Number of decimals to display in labels and tables.
- Show Ranges: Option to display or hide the ranges on the chart.
- Extend Range: Extension of the ranges into future bars.
- Range Fill Transparency: Transparency of the range fill.
>> Potential Utility of the Indicator:
- Entry and Exit Optimization:
By understanding the percentages of each range, traders can identify optimal levels to enter or exit a trade, maximizing profits and minimizing losses.
- Risk Management:
Range percentages can help determine market volatility. A range with a high percentage indicates greater volatility, which can be useful for setting wider stop losses or adjusting position size.
- Overbought and Oversold Zone Identification:
If a price is at the upper or lower extreme of its percentage range, it may indicate overbought or oversold conditions, respectively. These zones can be opportunities for counter-trend trades.
- Momentum Assessment:
A rapid change in range percentages can indicate strong momentum in a particular direction. Traders can use this information to ride the momentum wave or prepare for a potential reversal.
- False Signal Filtering:
By combining range percentage knowledge with other indicators, traders can filter out signals that might be less reliable, thus improving trade accuracy.
- Strategic Planning:
Knowing range percentages allows traders to adapt their strategies according to market conditions. For instance, in a market with narrow ranges and low percentages, they might opt for range strategies. In markets with wide ranges and high percentages, they might look for trend strategies.
- Trend Strength Evaluation:
If range percentages show that the price consistently stays at one end of the range, this may signal a strong and sustained trend.
- Improved Trading Discipline:
By basing trading decisions on quantitative data like range percentages, traders can trade more objectively and disciplined, avoiding impulsive or emotion-based decisions.
>> Future Indicator Update:
- In future versions, we plan to incorporate a detailed analysis based on the historical behavior of candles after the price enters a specific range. For instance, if after an upward movement the price enters a certain range and historically, the next candle tends to be bearish in a high percentage of occasions, this information will be highlighted and presented clearly to the user. The idea behind this addition is to provide traders with a statistical edge, allowing them to anticipate potential market movements with greater accuracy. Moreover, this information could be used to seek trading opportunities in smaller timeframes, aligning the trade direction based on the probability of this mentioned candle.
>> Conclusions:
- In summary, a detailed understanding of each range's percentages in an indicator provides traders with a valuable tool to analyze the market, make informed decisions, and enhance their trading. By grasping the significance of these percentages, traders can adapt their strategies and techniques to fully leverage the opportunities the market presents.
Ticker Pulse Meter + Fear EKG StrategyDescription
The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities.
How It Works
The strategy evaluates price action using two key metrics:
Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension.
Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators.
Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context.
Calculation Overview
Price Range Calculations:
Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars).
Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars).
Percentage Metrics:
pct_above_short: Percentage of the current close above the short-term range.
pct_above_long: Percentage of the current close above the long-term range.
Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation.
Signal Generation:
Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40).
Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions.
Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%).
Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability.
Visual Enhancements:
Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context.
A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values.
Background highlights mark periods of high selling pressure.
Entry Rules
Long Entry:
TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow.
Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals.
Entries are executed only on confirmed bars to prevent repainting.
Exit Rules
Long Exit: Triggered when pct_above_long_above_short crosses under profitTake.
Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit).
Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings.
Inputs
Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017).
Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations.
Resolution: Timeframe for price data (default: Daily).
Entry/Exit Thresholds:
entryThresholdhigh (default 20): Threshold for TPM entry.
entryThresholdlow (default 40): Secondary condition for TPM entry.
orangeEntryThreshold (default 95): Threshold for Fear EKG entry.
profitTake (default 95): Exit threshold.
exitAmt (default 50%): Percentage of position to exit.
Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths.
Notes
The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res).
Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system.
The script avoids repainting by using confirmed bar data and shifted calculations ( ).
Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic.
Usage
Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications.
Designed to work best on Daily timeframe.