WRESBAL ROC Oscillator (Clean)This indicator tracks the rate of change in Federal Reserve reserve balances (WRESBAL) to visualize shifts in systemic liquidity. It measures how quickly reserves are expanding or contracting over a chosen lookback window (default 26 weeks), then smooths the result to highlight durable macro trends rather than short-term noise.
Green = expanding reserves → liquidity easing → risk-asset support
Red = contracting reserves → liquidity tightening → headwind for risk assets
The oscillator is designed for macro context rather than short-term trading. It correlates strongly with major equity and credit cycles, often leading inflection points in the S&P 500 and Nasdaq by several weeks.
Use it to identify transitions between QE (quantitative easing) and QT (quantitative tightening) regimes and to gauge the liquidity environment driving broad market behavior.
Osilatörler
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference.
Key Features:
1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity.
4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30).
Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting.
HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation.
Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation.
Usage Instructions
Installation: Add the indicator to an IMX/USDT 1H chart on TradingView.
Signal Interpretation:
lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low).
green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high).
Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings.
Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions.
Advantages
Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions.
Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management.
Visualization: Past BUY points enable easy backtesting and pattern recognition.
Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross).
Limitations
Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes.
Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended.
Manual Management: Stop-loss and take-profit require user discretion.
PTM System v1.8 (PF)PTM System Indicator v1.8: Enhanced Precision and Flexibility
The PTM System Indicator is a powerful and comprehensive technical analysis tool designed to help traders make confident and effective trading decisions. By integrating multiple analysis strategies, the PTM System focuses on identifying clear market trends, filtering out noise, and presenting information in an easy-to-understand format, ensuring you don't miss critical market opportunities.
Version 1.8 is a significant upgrade from version 1.6, focusing on enhancing trend identification accuracy and analytical flexibility to meet the needs of traders in all market conditions.
## Key Features of PTM System v1.8:
### 1. Multi-Factor Filtering: Intelligent Signal Filtering for Maximum Quality
The PTM System features a Multi-Factor Filtering system that combines multi-dimensional analysis to deliver high-quality trading signals and significantly reduce false signals. This system includes:
* **Price Action Filter:** Analyzes price behavior to confirm signal strength.
* **Trend Filter (EMA):** Uses multiple Exponential Moving Averages (EMA-S, EMA-M, EMA-L) to accurately identify the main market trend.
* **Momentum Filter (Stochastic):** Uses the Stochastic Oscillator to measure price momentum and identify Overbought/Oversold conditions.
* **Sideway Filter (ADX):** Uses the Average Directional Index (ADX) to detect sideways or trendless market conditions.
**Rationale for Integration:** The combination of these filters creates a synergistic system where each filter validates signals from the others, resulting in highly reliable trading signals. This adaptability allows the PTM System to perform effectively in various market conditions.
### 2. Smooth Heikin Ashi: Superior Trend Smoothing for Unmatched Clarity (New in v1.8)
To address the common issue of frequent color changes in traditional Heikin Ashi during sideways markets, v1.8 introduces **Smooth Heikin Ashi**. This feature uses an EMA to smooth the Heikin Ashi values, providing a clearer and more continuous representation of the underlying trend.
**Value and Benefit:** This feature offers a cleaner, more reliable view of the market trend, helping traders avoid sideways traps and focus on strong, sustained movements.
### 3. Ghost Signals: Unveiling Filtered Opportunities for Deeper Analysis (New in v1.8)
**Ghost Signals** display potential trade setups that were filtered out by the Sideway and Trend filters. This provides deeper insight into how market conditions affect signal generation and helps experienced traders identify hidden opportunities.
### 4. Optimized Time Filter Start Time (New in v1.8)
The default start time for the Time Filter has been adjusted to **20:00** for greater flexibility and better alignment with major trading session openings.
### 5. Auto RR Box: Disciplined Risk Management
The Auto RR Box automatically displays Stop Loss (SL) and Take Profit (TP) levels on the chart, promoting disciplined risk management.
### 6. Comprehensive Customization
PTM System is highly customizable, allowing traders to adjust filter settings, visual elements, and trading hours to fit their unique style.
## Why Every Trader Needs PTM System
In a volatile and complex market, the PTM System provides a crucial edge. It combines in-depth analysis, intelligent filtering, and intuitive visualization to empower traders of all levels to navigate the market with greater efficiency and confidence.
**Value of an Invite-Only Script:** The PTM System is not just a collection of basic indicators; it is a strategically integrated system that delivers high-quality, reliable signals. Its sophisticated filters and unique features like Smooth Heikin Ashi and Ghost Signals provide superior insight and control, justifying its value as a premium, invite-only tool.
Upgrade your trading with the PTM System today!
ADX Colored by AO + DI DifferenceADX Colored by AO + DI Difference pepito
he Average Directional Index (ADX) is a technical analysis indicator used in trading to measure the strength of a trend in an asset's price, such as stocks, forex, or cryptocurrencies. Developed by J. Welles Wilder Jr. in 1978, it’s part of the Directional Movement Index (DMI) system.
MACD cu RSI 7 Fibonacci color levelsMACD with RSI info
The RSI is display as value with changing color as Fibonacci levels.
MACD with RSI color 7 Fibonacci levelsMACD that contain RSI info
The color of RSI is change accordingly with Fibonacci levels, from red till green
EMA Dual with SL/TP ATR basedDouble EMA with cross and direction display.
Calculate stop loss / take profit based on ATR
If entering is not in the recognize direction also SL/TP is display (inversed values)
SL is 2xATR and TP is 4xAT by default - can be change
Also, SL/TP can be calculated at cross or at actual - see the table.
Tunç ŞatıroğluTunç Şatıroğlu's Technical Analysis Suite
Description:
This comprehensive Pine Script indicator, inspired by the technical analysis teachings of Tunç Şatıroğlu, integrates six powerful TradingView indicators into a single, user-friendly suite for robust trend, momentum, and divergence analysis. Each component has been carefully selected and enhanced by beytun to improve functionality, performance, and visual clarity, aligning with Şatıroğlu's approach to technical analysis. The default configuration is meticulously set to match the exact settings of the individual indicators as used by Tunç Şatıroğlu in his training, ensuring authenticity and ease of use for followers of his methodology. Whether you're a beginner or an experienced trader, this suite provides a versatile toolkit for analyzing markets across multiple timeframes.
Included Indicators:
1. WaveTrend with Crosses (by LazyBear, modified): A momentum oscillator that identifies overbought/oversold conditions and trend reversals with clear buy/sell signals via crosses and bar color highlights.
2. Kaufman Adaptive Moving Average (KAMA) (by HPotter, modified): A dynamic moving average that adapts to market volatility, offering a smoother trend-following signal.
3. SuperTrend (by Alex Orekhov, modified): A trend-following indicator that plots dynamic support/resistance levels with buy/sell signals and optional wicks for enhanced accuracy.
4. Nadaraya-Watson Envelope (by LuxAlgo, modified): A non-linear envelope that highlights potential reversals with customizable repainting options for smoother outputs.
5. Divergence for Many Indicators v4 (by LonesomeTheBlue, modified): Detects regular and hidden divergences across multiple indicators (MACD, RSI, Stochastic, CCI, Momentum, OBV, VWMA, CMF, MFI, and more) for early reversal signals.
6. Ichimoku Cloud (TradingView built-in, modified): A multi-faceted indicator for trend direction, support/resistance, and momentum, with enhanced visuals for the Kumo Cloud.
Key Features:
- Authentic Default Settings : Pre-configured to mirror the exact parameters used by Tunç Şatıroğlu for each indicator, ensuring alignment with his proven technical analysis approach.
- Customizable Settings : Enable/disable individual indicators and fine-tune parameters to suit your trading style while retaining the option to revert to Şatıroğlu’s defaults.
- Enhanced User Experience : Modifications improve visual clarity, performance, and usability, with options like repainting smoothing for Nadaraya-Watson and adjustable Ichimoku projection periods.
- Multi-Timeframe Analysis : Combines trend-following, momentum, and divergence tools for a holistic view of market dynamics.
- Alert Conditions : Built-in alerts for SuperTrend direction changes, buy/sell signals, and divergence detections to keep you informed.
- Visual Clarity : Overlays (KAMA, SuperTrend, Nadaraya-Watson, Ichimoku) and pane-based indicators (WaveTrend, Divergences) are clearly distinguished, with customizable colors and styles.
Notes:
- The Nadaraya-Watson Envelope and Ichimoku Cloud may repaint in their default modes. Use the "Repainting Smoothing" option for Nadaraya-Watson or adjust Ichimoku settings to mitigate repainting if preferred.
- Published under the MIT License, with components licensed under GPL-3.0 (SuperTrend), CC BY-NC-SA 4.0 (Nadaraya-Watson), MPL 2.0 (Divergence), and TradingView's terms (Ichimoku Cloud).
Usage:
Add this indicator to your TradingView chart to leverage Tunç Şatıroğlu’s exact indicator configurations out of the box. Customize settings as needed to align with your strategy, and use the combined signals to identify trends, reversals, and divergences. Ideal for traders following Şatıroğlu’s methodologies or anyone seeking a powerful, all-in-one technical analysis tool.
Credits:
Original authors: LazyBear, HPotter, Alex Orekhov, LuxAlgo, LonesomeTheBlue, and TradingView.
Modifications and integration by beytun .
License:
Published under the MIT License, incorporating code under GPL-3.0, CC BY-NC-SA 4.0, MPL 2.0, and TradingView’s terms where applicable.
Nexus Drift | OquantOverview
Nexus Drift is a consensus-based trend tool designed to identify potential long opportunities in trending markets by aggregating signals from multiple technical components. It generates a composite score from seven distinct trend-detection methods, triggering a "LONG" allocation when the score meets a predefined threshold, and shifting to "CASH" otherwise. The script also includes optional visualizations such as an equity curve and performance tables displaying key risk-adjusted metrics like Sharpe ratio, Sortino ratio, Omega ratio, maximum drawdown, and others for both the strategy and a buy-and-hold benchmark. This allows users to evaluate historical performance(remember past performance doesn’t guarantee future results) in a structured way. By combining diverse trend filters, the script aims to reduce noise and provide a more robust signal for trend-following approaches.
Key Factors/Components
The script incorporates seven complementary trend-detection components, each contributing to the overall consensus score:
MAD Median LSMA: A least-squares moving average filtered through a median and adjusted with median absolute deviation bands for outlier resistance.
Smoothed TEMA SD: A triple exponential moving average smoothed and bounded by standard deviation bands to capture trends without too much noise.
Z-Scored ALMA: An Arnaud legoux moving average normalized into a Z-score for trend strength assessment.
EMA Cross: A simple crossover between fast and slow exponential moving averages for basic trend direction.
RSI MA: A moving average of the Relative Strength Index to confirm bullish momentum in trends on a smoothed basis.
SMA SD SuperTrend: A SuperTrend variant using simple moving average and standard deviation for dynamic trailing levels.
WMA MAD Bands: A weighted moving average with median absolute deviation bands for weighted trend tracking with volatility adjustment.
How It Works
The script calculates individual signals from each component, assigning a value of +1 for long conditions, -1 for cash. These are averaged into a composite score, which triggers a long allocation if it meets or exceeds a threshold (0.5), or shifts to cash if equal or below a cash threshold (0). This consensus approach helps filter out conflicting signals, emphasizing agreement across methods to potentially improve reliability in sustained trends. Historical equity is simulated starting from a user-defined date, incorporating daily returns only during long allocations. Performance metrics are computed using standard formulas (e.g., Sharpe as average return over standard deviation, annualized; Sortino focusing on downside deviation; Omega as the ratio of sum positive to sum negative returns). Tables update in real-time on bar close on the chart for quick reference, but all calculations are based on historical data and do not predict future outcomes.
Recommended Use Cases
This script is best suited for trend-following traders or investors focusing on assets with strong directional moves, such as cryptocurrencies on daily or other timeframes. The tool's design was to work well in different markets and timeframes. It performs optimally in markets exhibiting prolonged trends rather than ranging, where consensus may lag or produce fewer/false signals. It is not ideal for short-term scalping, mean-reversion strategies, or assets with low liquidity, as the components are tuned for trend persistence.
Settings and Default Settings
The script includes several inputs for customization:
Strategy Start Date: Defines the backtesting start point (default: 1 Jan 2018). Use this to align with relevant historical periods, but note that shorter datasets may reduce metric reliability and also past performance doesn’t guarantee future results.
Show Strategy Metrics Table: Toggles the display of a table with metrics like max drawdown, intra-trade max drawdown, Sharpe, Sortino, Omega, percent profitable, profit factor, trades, and net profit (default: true).
Show Buy & Hold Table: Toggles a benchmark table with similar metrics for a passive buy-and-hold approach (default: true).
Plot Equity Curve: Displays the simulated strategy equity line (default: false).
Component-specific lengths and multipliers are fixed but chosen to balance responsiveness and smoothness across methods. The long threshold (0.5) requires the majority of the components to agree on a long signal. The script is optimized for daily crypto charts on trending assets, but tested on other timeframes/markets also.
Conclusion
Nexus Drift offers a structured way to gauge trend consensus through diversified components, providing actionable allocations and transparent metrics to support informed decision-making. By focusing on agreement across methods, it seeks to enhance trend detection while highlighting key performance metrics.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Trendoman Indicator Trendoman "Trading Signals" indicator
This is our first indicator that will give signals for buying and selling (With the possibility of setting (Alert). The indicator is optimized for the senior TF (1D and 4h). Signals are given automatically after the closing of the candle.
This indicator combines oscillators (Stochastic, RSI, MACD), adds EMA (50,100,200) to determine the local and medium-term trend, and adds certain conditions (Formulas) to determine entry points and signal generation.
This is the first version of the indicator, and it will be improved and updated. This indicator is provided for informational purposes only.
Индикатор Trendoman "Торговые сигналы"
What does it do and how to use it?
This script was written for me, so I made it for my main timeframe, which is 1D. This is the timeframe I tested it on (Russian and US stock market)
When adding the indicator to the chart, open the daily timeframe (1D).
What will we see?
⚫️BUY or SELL signals on the chart. They appear after the closing of the trading day candlestick, therefore, as soon as you see this signal, you can open a trade (In the settings, you can use (Alert Notification) so that when the signal appears, a notification is triggered on a specific instrument.
⚫️Notification preparation "Prep" on the chart. THIS IS NOT A SIGNAL, it is a regular notification when the price enters the overbought or oversold zone. We use this to set Take-Profit and Stop-lose, as well as to understand that it is dangerous to buy in the overbought zone, and to sell in the oversold zone. If you do not need them, you can disable them in the settings.
⚫️The line in the middle. This is a moving average, which shows the direction of the trend (In the settings
Stop-lose and Take-Profit
Trying to build into this indicator the ability to automatically set Stop-lose and Take-Profit did not lead to anything. The main problems are completely different situations at the time of the signal (Mathematically it is not calculated). Have to count yourself.
To set Stop-lose after the signal.
1. Look at the previous local minimum (If the signal is to buy or local maximum (If the signal is to sell). It can be the body of a candle, the shadow of a candle, or a specific level. The stop is always placed below this level, range, or local minimum or maximum.
To set the Take-Profit after the signal is given. There are several options.
1. Mark the levels. Look at an important support or resistance range, fix part of the position at the level, and set the stop for the remainder at breakeven (Entry Price)
2. Make a risk of 1 to 1. If you do not define levels and markup well, then after changing the Stop-lose, you can put the first take on the same%. Example:
Stop-lose и Take-Profit
When you can't open a position EVEN if the indicator shows a signal.
⚫️ If the indicator shows a signal (BAY or SELL), and the signal candle or the previous one opens with a gap. CANCELLED SIGNAL.
⚫️ If the signal candle has a large impulse (down or up). It's very easy to check, take the last 10 candles, if it's higher than the average, it's better to skip this signal (long stop)
⚫️Illiquid instruments. The second and third echelons are often pumped by market participants. Indicators and candles do not work stably. Do not trade illiquid instruments using this indicator.
Risk management.
As noted above, it is impossible to calculate the exact Stop-lose and Take-Profit mathematically, as each situation is unique (levels, highs, lows, slopes, etc. differ).
If you see that your Take-Profit is less than your Stop-lose, it is best to ignore such a trade (depending on your risk tolerance).
Try to open trades where the Take-Profit is greater than the Stop-lose.
Diabolos Long What the strategy tries to do
It looks for RSI dips into oversold, then waits for RSI to recover above a chosen level before placing a limit buy slightly below the current price. If the limit doesn’t fill within a few bars, it cancels it. Once in a trade, it sets a fixed take-profit and stop-loss. It can pyramid up to 3 entries.
Step-by-step
1) Inputs you control
RSI Length (rsiLen), Oversold level (rsiOS), and a re-entry threshold (rsiEntryLevel) you want RSI to reach after oversold.
Entry offset % (entryOffset): how far below the current close to place your limit buy.
Cancel after N bars (cancelAfterBars): if still not filled after this many bars, the limit order is canceled.
Risk & compounding knobs: initialRisk (% of equity for first order), compoundRate (% to artificially grow the equity base after each signal), plus fixed TP% and SL%.
2) RSI logic (arming the setup)
It calculates rsi = ta.rsi(close, rsiLen).
If RSI falls below rsiOS, it sets a flag inOversold := true (this “arms” the next potential long).
A long signal (longCondition) happens only when:
inOversold is true (we were oversold),
RSI comes back above rsiOS,
and RSI is at least rsiEntryLevel.
So: dip into OS → recover above OS and to your threshold → signal fires.
3) Placing the entry order
When longCondition is true:
It computes a limit price: close * (1 - entryOffset/100) (i.e., below the current bar’s close).
It sizes the order as positionRisk / close, where:
positionRisk starts as accountEquity * (initialRisk/100).
accountEquity was set once at script start to strategy.equity.
It places a limit long: strategy.order("Long Entry", strategy.long, qty=..., limit=limitPrice).
It then resets inOversold := false (disarms until RSI goes oversold again).
It remembers the bar index (orderBarIndex := bar_index) so it can cancel later if unfilled.
Important nuance about “compounding” here
After signaling, it does:
compoundedEquity := compoundedEquity * (1 + compoundRate/100)
positionRisk := compoundedEquity * (initialRisk/100)
This means your future order sizes grow by a fixed compound rate every time a signal occurs, regardless of whether previous trades won or lost. It’s not tied to actual PnL; it’s an artificial growth curve. Also, accountEquity was captured only once at start, so it doesn’t automatically track live equity changes.
4) Auto-cancel the limit if it doesn’t fill
On each bar, if bar_index - orderBarIndex >= cancelAfterBars, it does strategy.cancel("Long Entry") and clears orderBarIndex.
If the order already filled, cancel does nothing (there’s nothing pending with that id).
Behavioral consequence: Because you set inOversold := false at signal time (not on fill), if a limit order never fills and later gets canceled, the strategy will not fire a new entry until RSI goes below oversold again to re-arm.
5) Managing the open position
If strategy.position_size > 0, it reads the avg entry price, then sets:
takeProfitPrice = avgEntryPrice * (1 + exitGainPercentage/100)
stopLossPrice = avgEntryPrice * (1 - stopLossPercentage/100)
It places a combined exit:
strategy.exit("TP / SL", from_entry="Long Entry", limit=takeProfitPrice, stop=stopLossPrice)
With pyramiding=3, multiple fills can stack into one net long position. Using the same from_entry id ties the TP/SL to that logical entry group (not per-layer). That’s OK in TradingView (it will manage TP/SL for the position), but you don’t get per-layer TP/SL.
6) Visuals & alerts
It plots a green triangle under the bar when the long signal condition occurs.
It exposes an alert you can hook to: “Покупка при достижении уровня”.
A quick example timeline
RSI drops below rsiOS → inOversold = true (armed).
RSI rises back above rsiOS and reaches rsiEntryLevel → signal.
Strategy places a limit buy a bit below current price.
4a) If price dips to fill within cancelAfterBars, you’re long. TP/SL are set as fixed % from avg entry.
4b) If price doesn’t dip enough, after N bars the limit is canceled. The system won’t re-try until RSI becomes oversold again.
Key quirks to be aware of
Risk sizing isn’t PnL-aware. accountEquity is frozen at start, and compoundedEquity grows on every signal, not on wins. So size doesn’t reflect real equity changes unless you rewrite it to use strategy.equity each time and (optionally) size by stop distance.
Disarm on signal, not on fill. If a limit order goes stale and is canceled, the system won’t try again unless RSI re-enters oversold. That’s intentional but can reduce fills.
Single TP/SL id for pyramiding. Works, but you can’t manage each add-on with different exits.
RSI: chart overlay
This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30.
By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window.
The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms.
Key components and calculation breakdown:
Wilder’s EMA
Used as the anchor point for measuring price position.
myEMA = ta.rma(close, Length)
Volatility Unit
Derived from the EMA of absolute close-to-close price changes.
CC_vol = ta.rma(math.abs(close - close ), Length)
Normalization Factor
Scales the volatility unit to align with the RSI formula’s structure.
normalization_factor = 1 / (Length - 1)
Upper and Lower Boundaries
Defines price bands corresponding to selected RSI threshold values.
up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor)
down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor)
Inputs
RSI length
Upper boundary – RSI level above 50
Lower boundary – RSI level below 50
ON/OFF toggle for 50-point line (EMA of close prices)
ON/OFF toggle for overbought/oversold coloring (use with line chart)
Interpretation:
Each band on the chart represents a chosen RSI level.
When price touches a band, RSI is at that threshold.
The distance between moving average and bands adjusts automatically with volatility and your selected RSI length.
All calculations remain fully consistent with standard RSI values.
Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
LBR 3/10 'Sardine' Oscillator (ATR-Normalized)LBR 3/10 Oscillator - Short-Term Momentum Indicator
The LBR 3/10 "Sardine" Oscillator is a short-term momentum indicator developed by Linda Bradford Raschke. This ATR-normalized version provides cross-market comparability and consistent extreme levels across all timeframes and asset classes.
What is the LBR 3/10 Oscillator?
The LBR 3/10 is designed to capture very short-term momentum shifts by measuring the difference between a 3-period and 10-period moving average. Named after Linda Bradford Raschke's "Trading Sardines" book, this oscillator excels at identifying rapid momentum changes and potential reversal points.
Formula: / ATR(10) × 100
Where MA can be either Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Why ATR Normalization?
Problem with Traditional Oscillators:
Traditional momentum oscillators produce values that vary dramatically across different markets and time periods. A reading of 5 might be extreme for one asset but insignificant for another.
Solution:
ATR normalization divides the raw momentum value by the Average True Range, creating standardized readings that are:
Comparable Across Markets: Same interpretation whether analyzing stocks, forex, commodities, or crypto
Comparable Across Time: Readings maintain consistent meaning regardless of price levels
Universal Extreme Levels: The ±125 levels work consistently across all assets and timeframes
Statistical Research
Extensive statistical analysis across multiple markets identified the ±125 extreme levels:
+125 Level: Reached approximately 4% of the time (extreme bullish momentum)
-125 Level: Reached approximately 2% of the time (extreme bearish momentum)
These statistically-validated levels provide objective definitions for overbought and oversold conditions, eliminating subjective interpretation.
Key Features
Core Components
LBR 3/10 Line: Main oscillator showing normalized short-term momentum
Signal Line: Smoothed moving average of the oscillator (default: 9-period)
Extreme Levels: Horizontal lines at ±125 marking statistical extremes
Zero Line: Separates bullish and bearish momentum regimes
Visual Elements
Blue Line: LBR 3/10 oscillator (main momentum line)
Red Line: Signal line (smoothed moving average of oscillator)
Fill Area: Light blue shaded region between oscillator and signal line
Background Zones: Light red (overbought above +125) or light green (oversold below -125)
Horizontal Lines: Gray dashed lines at +125, -125, and 0 (zero line solid)
Divergence Markers: Green/red circles marking price/oscillator divergences
Signal Crosses: Small green/red triangles marking oscillator/signal line crossovers
Pullback Markers: Yellow diamond shapes with white "↑PB" or "↓PB" text for first pullback signals
Std Dev Bands: Orange circles marking statistical extreme levels (optional, disabled by default)
Advanced Features
MA Type Selection: Choose between SMA or EMA for both oscillator and signal line
Standard Deviation Bands: Optional adaptive extreme levels based on statistical volatility
Pullback Detection: Identifies high-probability counter-trend entries during established trends
First Pullback Filter: Noise reduction system that highlights initial pullback after trend change
Trading Applications
1. Extreme Level Reversals
When the oscillator reaches ±125, it indicates stretched momentum conditions:
Above +125: Overbought - watch for bearish reversal signals
Below -125: Oversold - watch for bullish reversal signals
2. Signal Line Crossovers
Bullish Cross: Oscillator crosses above signal line (momentum shift up)
Bearish Cross: Oscillator crosses below signal line (momentum shift down)
3. Zero Line Crosses
Signal line crossing zero indicates trend regime changes:
Cross Above 0: Transition to bullish trend
Cross Below 0: Transition to bearish trend
4. Divergence Trading
Bullish Divergence: Price makes lower low, oscillator makes higher low
Bearish Divergence: Price makes higher high, oscillator makes lower high
Best used in combination with other momentum indicators for confirmation
5. Pullback Strategy (High-Probability Setup)
Uptrend Pullback: Signal line positive + oscillator crosses below (buy opportunity)
Downtrend Pullback: Signal line negative + oscillator crosses above (sell opportunity)
First Pullback: Initial counter-trend signal after trend change (highest probability)
6. "Anti" Setup
Linda Bradford Raschke's classic setup:
Wait for extreme reading (±125)
Enter on first pullback signal in opposite direction
Captures momentum exhaustion reversals
Comprehensive Alert System
Extreme Level Alerts
Crossed above +125 (overbought)
Crossed below -125 (oversold)
Divergence Alerts
Bullish divergence detected
Bearish divergence detected
Signal Cross Alerts
Bullish cross (oscillator above signal)
Bearish cross (oscillator below signal)
Trend Change Alerts
Signal line crossed above zero (trend change to bullish)
Signal line crossed below zero (trend change to bearish)
Pullback Alerts
Pullback in uptrend (potential buy)
Pullback in downtrend (potential sell)
FIRST pullback in uptrend (high-probability buy)
FIRST pullback in downtrend (high-probability sell)
Settings & Parameters
LBR 3/10 Settings
Fast MA Length: Short-term period (default: 3)
Slow MA Length: Baseline period (default: 10)
ATR Length: Volatility normalization period (default: 10)
MA Type: SMA or EMA selection
Extreme High Level: Overbought threshold (default: 125)
Extreme Low Level: Oversold threshold (default: -125)
Signal Line
Show Signal Line: Enable/disable display (default: true)
Signal Line Length: Smoothing period (default: 9)
Divergence Detection
Show Divergences: Enable/disable detection (default: true)
Divergence Lookback: Pivot detection period (default: 5)
Standard Deviation Bands
Show Std Dev Bands: Enable/disable adaptive levels (default: false)
Std Dev Multiplier: Band width adjustment (default: 1.5)
Std Dev Length: Calculation period (default: 100)
Best Practices
Trending Markets
Focus on pullback signals in direction of trend
Use first pullback filter for highest-probability entries
Watch for extreme levels as profit-taking zones
Ranging Markets
Trade reversals at extreme levels (±125)
Use divergences with additional momentum indicator confirmation
Avoid signal line crosses near zero (low-quality signals)
Multi-Timeframe Analysis
Higher timeframe: Identify trend direction (signal line above/below zero)
Lower timeframe: Time precise entries using pullback signals
Confirmation: Use additional momentum indicators for signal validation
Risk Management
Reduce position size at extreme levels (increased reversal risk)
Use ATR-based stops (e.g., 2× ATR from entry)
Exit on opposite extreme level or signal line zero cross
Chart Legend - Visual Signal Guide
Lines and Fills
🔵 Blue Line: LBR 3/10 oscillator value
🔴 Red Line: Signal line (9-period MA of oscillator)
💠 Light Blue Fill: Area between oscillator and signal line (visual momentum gauge)
Background Colors
🟥 Light Red Background: Extreme overbought zone (LBR > +125)
🟩 Light Green Background: Extreme oversold zone (LBR < -125)
Horizontal Reference Lines
➖ +125 (Gray Dashed): Overbought extreme level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -125 (Gray Dashed): Oversold extreme level
Signal Markers
🟢 Green Circle: Bullish divergence detected (price lower low, oscillator higher low)
🔴 Red Circle: Bearish divergence detected (price higher high, oscillator lower high)
▲ Green Triangle Up: Bullish signal cross (oscillator crosses above signal line)
▼ Red Triangle Down: Bearish signal cross (oscillator crosses below signal line)
Yellow Diamond "↑PB": First pullback in uptrend (high-probability buy setup)
Yellow Diamond "↓PB": First pullback in downtrend (high-probability sell setup)
Combining with MACD-V+ Indicator
LBR 3/10 and MACD-V+ work together as a powerful two-timeframe momentum system:
Indicator Roles
MACD-V+: Strategic direction (12-26 period) - identifies market regime and lifecycle state
LBR 3/10: Tactical timing (3-10 period) - pinpoints precise entry and exit moments
Key Principles
Strategic Filter: MACD-V+ determines IF you should trade (market regime)
Tactical Timing: LBR 3/10 determines WHEN to enter (precise timing)
Confirmation Reduces Risk: Trade only when both indicators agree
Respect Lifecycle Changes: Exit when MACD-V+ state changes against your position
Methodology
The LBR 3/10 indicator implements statistical analysis and volatility normalization techniques to create a universal short-term momentum tool. This approach enables consistent interpretation across all markets and timeframes.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical extreme level validation (±125 levels)
Noise reduction through first pullback filtering
Dual MA type support (SMA/EMA) for flexibility
Standard deviation bands for adaptive threshold levels
LBR 3/10 provides traders with a precise tool for short-term momentum analysis and tactical entry timing. Combined with proper risk management and multi-timeframe analysis, it offers objective signals for both trend-following and reversal trading strategies.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions.
🔶 Advanced Statistical Framework
Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes.
🔶 Dual Ratio Integration System
Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes.
// Omega Ratio Calculation
Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period)
Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period)
Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na
// Sortino Ratio Framework
Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period)
Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor)
// Aggregated Score
Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA)
🔶 Dynamic Band Calculation Engine
Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic.
🔶 Signal Generation Framework
Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment.
🔶 Enhanced Visual Architecture
Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels.
snapshot
🔶 Risk-Adjusted Performance Analysis
Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally.
🔶 Multi-Timeframe Adaptability
Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations.
🔶 Performance Optimization Framework
Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods.
This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
MACD-V+MACD-V+ Indicator - Advanced Momentum Analysis
The MACD-V+ indicator is an enhanced version of the volatility-normalized MACD methodology developed by Alex Spiroglou. This approach addresses critical limitations of traditional MACD through ATR-based volatility normalization, providing comparable values across time and markets.
What is MACD-V?
MACD-V applies Average True Range (ATR) normalization to traditional MACD, creating a universal momentum indicator that works consistently across all markets and timeframes. The methodology was developed through extensive statistical research analyzing multiple markets and timeframes.
Formula: × 100
This normalization transforms MACD from price-dependent values into standardized momentum readings.
Traditional MACD Limitations
Limitation 1: Non-Comparable Values Across Time
Traditional MACD values cannot be compared across different time periods due to varying price levels. S&P 500 maximum MACD was 1.56 in 1957-1971, but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum, but simply different price scales.
Solution: MACD-V provides comparable historical values where a reading of 100 today has the same mathematical meaning as 100 in any previous period.
Limitation 2: Non-Comparable Across Markets
Traditional MACD cannot compare momentum between different assets. S&P 500 MACD of 65 versus EUR/USD MACD of -0.5 reflects price differences, not relative strength.
Solution: MACD-V creates universal levels that work across all markets. The ±150 extreme levels apply consistently whether analyzing stocks, bonds, commodities, or currencies.
Limitation 3: No Objective Momentum System
Traditional MACD lacks universal overbought or oversold level definitions, making systematic analysis difficult.
Solution: MACD-V provides an objective 7-stage momentum lifecycle system with clearly defined zones and state transitions.
Limitation 4: Signal Line False Signals
In low momentum environments, traditional MACD generates multiple false signals as the line oscillates near zero.
Solution: MACD-V filters signal quality by identifying neutral zones (-50 to +50) where signal reliability is lower.
Limitation 5: Signal Line Timing Lag
During extreme momentum, traditional MACD signal line lags significantly due to large separation from the MACD line.
Solution: MACD-V anticipates timing issues in extreme momentum environments (±150) through zone-based analysis and lifecycle states.
Universal Application
MACD-V+ works across:
Individual Stocks
Forex Pairs
Commodity Futures
Cryptocurrencies
All Timeframes
Key Features
Zone System
Overbought Zone: Above +150 (extreme bullish momentum)
Rally Zone: +50 to +150 (strong bullish momentum)
Ranging Zone: -50 to +50 (neutral/low momentum)
Rebound Zone: -50 to -150 (strong bearish momentum)
Oversold Zone: Below -150 (extreme bearish momentum)
7-Stage Lifecycle States
Ranging: Neutral momentum in -50 to +50 zone
Rallying: Rally zone + MACD above Signal + rising momentum
Overbought: Extreme zone above +150
Retracing: Rally zone + MACD below Signal (pullback from overbought)
Reversing: Rebound zone + MACD below Signal + falling momentum
Oversold: Extreme zone below -150
Rebounding: Rebound zone + MACD above Signal (recovery from oversold)
Visual Status Display
Real-Time State Table: Shows current lifecycle state name
Color-Coded States: Blue (Rallying/Rebounding), Red (Overbought/Oversold), Orange (Retracing/Reversing), Gray (Ranging)
Strength Multiplier: Live histogram strength indicator (e.g., "x 1.45")
Enhanced Features (Plus)
Absolute Histogram MA: ATR-length moving average of absolute histogram values for strength measurement
Direction-Aware Display: MA line follows histogram sign (positive above 0, negative below 0)
Strength Multiplier: Current momentum vs. average strength ratio (always positive value)
Histogram Extreme Levels: Short-term overbought/oversold (±40) for pullback detection
Chart Legend - Visual Signal Guide
Lines and Histogram
🔵 Blue Line: MACD-V value (ATR-normalized momentum)
🟠 Orange Line: Signal line (9-period EMA of MACD-V)
📊 Histogram Bars: MACD-V minus Signal line (momentum differential)
Histogram Colors: Green shades (positive momentum), Red shades (negative momentum)
🟡 Yellow Line: Dynamic MA of absolute histogram values (follows histogram sign)
Background Colors
🟥 Light Red Background: Extreme overbought zone (MACD-V > +150)
🟩 Light Green Background: Extreme oversold zone (MACD-V < -150)
Horizontal Reference Lines
➖ +150 (Gray Dashed): Overbought extreme level
➖ +50 (Gray Dashed): Rally zone entry level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -50 (Gray Dashed): Rebound zone entry level
➖ -150 (Gray Dashed): Oversold extreme level
Optional Histogram Levels
➖ +40 (Yellow Dashed): Histogram short-term overbought
➖ -40 (Yellow Dashed): Histogram short-term oversold
Status Table
📋 Top-Center Table: Current lifecycle state display
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Histogram Warning: Short-term overbought/oversold alerts (±40 levels)
State Label
📊 Label at MACD/Signal Midpoint: Current lifecycle state with strength analysis
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Strength Multiplier Interpretation:
- Strong acceleration (>1.75): Powerful momentum, trend continuation likely
- Moderate progression (1.25-1.75): Normal trend strength
- Trend continuation (0.75-1.25): Stable momentum near average
- Watch for reversal (0.25-0.75): Weakening momentum
- Trend exhaustion (<0.25): Very weak momentum, reversal possible
Trading Applications
1. Lifecycle State Trading
Enter Long: When state changes to "RALLYING" (strong bullish momentum established)
Enter Short: When state changes to "REVERSING" (strong bearish momentum established)
Exit/Reduce: When state reaches "OVERBOUGHT" or "OVERSOLD" (extreme levels)
Avoid Trading: When state is "RANGING" (low momentum, unreliable signals)
2. Zone-Based Trading
Rally Zone (+50 to +150): Look for pullback entries (histogram dips)
Rebound Zone (-50 to -150): Look for bounce entries (histogram rises)
Extreme Zones (±150+): Prepare for reversal or take profits
Ranging Zone (-50 to +50): Wait for breakout confirmation
3. Signal Line Crossovers
Bullish Cross: MACD-V crosses above Signal line (momentum shift up)
Bearish Cross: MACD-V crosses below Signal line (momentum shift down)
Quality Filter: Trust crossovers in Rally/Rebound zones, ignore in Ranging zone
4. Zero Line Crosses
Cross Above 0: Transition to bullish regime
Cross Below 0: Transition to bearish regime
Trend Confirmation: Strong trends keep MACD-V on same side of zero
5. Histogram Extreme Strategy
Above +40: Short-term overbought - potential pullback
Below -40: Short-term oversold - potential bounce
Use with Trend: Buy dips to -40 in uptrend, sell rallies to +40 in downtrend
6. Strength Multiplier Analysis
> 1.75: Strong acceleration - powerful momentum, trend continuation highly likely
1.25 to 1.75: Moderate progression - normal healthy trend strength
0.75 to 1.25: Trend continuation - stable momentum near average strength
0.25 to 0.75: Watch for reversal - momentum weakening significantly
< 0.25: Trend exhaustion - very weak momentum, reversal possible
Comprehensive Alert System
Lifecycle State Change Alerts
Range Entered (low momentum warning)
Rally Started (bullish momentum established)
Overbought Reached (extreme bullish level)
Overbought Exit (leaving extreme zone)
Retracing Started (pullback from overbought)
Reversal Started (bearish momentum established)
Oversold Reached (extreme bearish level)
Oversold Exit (leaving extreme zone)
Rebounding Started (recovery from oversold)
Alert Builder Integration
Binary outputs (1/0) for external alert systems:
Individual state flags for each of 7 lifecycle states
Strength multiplier value for programmatic trend assessment
Settings & Parameters
MACD Configuration
MACD Fast: Fast EMA period (default: 12)
MACD Slow: Slow EMA period (default: 26)
Signal Line: Signal smoothing period (default: 9)
Source: Price source (default: Close)
Zone Boundaries
Overbought: Extreme bullish level (default: 150)
Oversold: Extreme bearish level (default: -150)
Rally: Strong bullish zone entry (default: 50)
Rebound: Strong bearish zone entry (default: -50)
Histogram Bounds
Histogram OB: Short-term overbought (default: 40)
Histogram OS: Short-term oversold (default: -40)
Trend Filters
MA Type: Histogram strength MA calculation method (None / SMA / EMA)
Show Elder Impulse Plus: Bar color system based on EMA(13) + histogram direction
200 EMA trend: Trend Filter v1 - Bull/Bear classification (adaptive MACD-V levels)
50/200 EMA 6-stage: Trend Filter v2 - Chuck Dukas Diamond 6-stage market classification
Best Practices
Trending Markets
Focus on "RALLYING" or "REVERSING" states for entries
Use histogram pullbacks (±40) for position additions
Monitor strength multiplier - exit if drops below 0.25
Take profits in extreme zones (±150+)
Yellow MA crossing histogram warns of momentum shift
Ranging Markets
Avoid trading when state is "RANGING"
Wait for clear zone entry (Rally/Rebound zone)
Use shorter timeframes for precision
Reduce position sizes due to lower reliability
Multi-Timeframe Analysis
Higher timeframe: Identify market regime (lifecycle state)
Lower timeframe: Time precise entries (histogram pullbacks)
Alignment: Trade only when both timeframes agree on direction
Risk Management
Reduce position size in extreme zones (±150+)
Use lifecycle state changes for stop-loss placement
Scale out of positions when strength multiplier < 0.25
Avoid counter-trend trades in strong states (RALLYING/REVERSING)
Watch yellow MA - when it crosses below histogram absolute value, momentum weakening
Combining with LBR 3/10-V Indicator
MACD-V+ and LBR 3/10-V create a powerful two-timeframe momentum system for strategic direction and tactical timing.
Strategic Filter: MACD-V+ determines WHETHER to trade (market regime)
Tactical Precision: LBR 3/10-V determines WHEN to enter (timing)
Double Confirmation: Both indicators must agree on direction
Lifecycle Management: Exit when MACD-V+ state changes
Strength Validation: Use MACD-V+ multiplier for position sizing
Extreme Respect: Both hitting extremes = high reversal probability
Methodology
MACD-V methodology is based on volatility normalization using Average True Range (ATR). This approach transforms traditional MACD into a universal momentum indicator with statistically-validated zones and objectively-defined states.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical analysis for universal zone definitions (±150, ±50)
Lifecycle state system for objective trend identification
Absolute histogram MA with direction-aware visualization (ATR-length period)
Strength multiplier: ratio of current to average absolute momentum (always positive)
Dynamic status table adapting to active trend filters
MACD-V+ transforms momentum analysis from subjective interpretation into objective, quantifiable measurements. Combined with LBR 3/10-V for tactical timing, it provides a complete framework for systematic trading across all financial markets and timeframes.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
Trend/Range Composite (Single-Line) v1.4🔹 Step 1: Add it to your chart
Copy the whole script.
In TradingView → Pine Editor → paste it.
Click Add to chart.
It will show a white line in a subwindow, plus thresholds at 40 and 60, and a colored background.
Optional: You’ll see a status box (top-right of chart) with details like ADX, ATR, slope, etc.
🔹 Step 2: Understand the Score
The indicator compresses all signals into a 0–100 “Trend Strength Score”:
≥ 60 = TREND (teal background)
→ Market is trending, consider trend strategies like vertical spreads, runners, breakouts.
≤ 40 = RANGE (orange background)
→ Market is choppy/sideways, consider range strategies like butterflies, condors, mean-reversion fades.
40–60 = MIXED (gray background)
→ Indecision / chop. Best to reduce size or wait for clarity.
🔹 Step 3: Use with Your Trading Plan
Intraday (5m, 15m, 30m)
Score < 40 → play support/resistance bounces, fade extremes.
Score > 60 → play momentum breakouts or pullback continuations.
Daily chart
Good for swing context (is this month trending or just chopping?).
🔹 Step 4: Alerts
You can set TradingView alerts:
Cross above 60 → market entering trend mode.
Cross below 40 → market entering range mode.
Useful if you don’t want to watch constantly.
🔹 Step 5: Confirm with Price Levels
The score tells you “trend vs range”, but you still need levels:
If score < 40 → mark PDH / PDL (previous day high/low), VAH/VAL, VWAP. Expect rejections/fades.
If score > 60 → watch for breakouts beyond PDH/PDL or supply/demand zones.
Market Sentiment OscillatorMarket Sentiment Oscillator
Overview
The Market Sentiment Oscillator is a Pine Script v6 indicator for TradingView that assesses market context with a composite oscillator. It blends MACD, RSI, and Volume Price Trend (VPT) into a normalized score, with optional multi-timeframe (MTF) averaging and optional trail lines to visualize recent extremes. Weighting and normalization are used to keep the scale consistent across symbols and timeframes. A compact status table summarizes sentiment, trend, and turning-point markers.
How It Works
• Composite score: finalScore = 0.4 · MACD_hist + 0.4 · ((RSI − 50)/50) + 0.2 · VPT_norm. MACD/RSI emphasize momentum; VPT_norm (z-score of a cumulative VPT) adds volume context.
• MTF (optional): The same score is computed on a higher timeframe (default: 1H) and averaged with the chart-TF score for broader context. MTF requests use lookahead_off.
• Neutral buffer: Readings within ±0.2 (default) are treated as neutral to reduce noise.
• Markers: Early turning points are labeled Hypothetical; labels switch to Verified after a fixed bar count.
• Trails (visual only): Lines connect recent extreme highs/lows of the oscillator, with optional dashed previews and short forward extensions for illustration.
Key Features
• Composite Sentiment Score: Structured blend of MACD, RSI, and normalized VPT.
• Multi-Timeframe Context : Optional averaging with a higher timeframe score.
• Visual Trails: Extreme-to-extreme lines and optional previews for context (charting aid).
• Adaptive Coloring: Gradient or solid coloring based on direction and magnitude.
• Turning-Point Markers: Hypothetical and Verified labels for tops/bottoms.
• Status Table: Summarizes sentiment state, trend, and recent turning-point info.
• Customizable: MACD/RSI/VPT inputs, neutral zone, colors, visibility.
What It Displays
A composite, normalized view of momentum and volume context, with optional higher-timeframe blending and visual trails to help interpret shifts between bearish, neutral, and bullish conditions.
Originality
Original Pine v6 implementation using TradingView built-ins: ta.macd, ta.rsi, ta.cum, ta.sma, ta.stdev, ta.pivothigh, ta.pivotlow, and request.security.
Common Uses
• Reviewing momentum context alongside volume influence.
• Illustrating shifts between bearish/neutral/bullish conditions.
• Adding higher-timeframe context to a lower-timeframe view.
Configuration Notes
Set MACD (default 12/26/9), RSI (default 14), and VPT options. Choose a higher timeframe (default 1H) if using MTF. Adjust the neutral zone (default ±0.2), coloring mode, and visibility of trails and table.
Repainting & Limitations
• MTF: Uses lookahead_off to avoid higher-timeframe repainting.
• Pivots/labels: Turning-point pivots are verified only after the required right bars close; “Hypothetical” labels are early and may update intra-bar.
• Trails/previews: Visual aids only; previews and short forward extensions can update while a bar is forming.
Legal Disclaimer
This indicator is for informational and educational purposes only—not investment, financial, or trading advice. Past performance does not guarantee future results; trading involves risk of loss. Provided “as is” without warranties. Consult a qualified professional before making decisions.
Hummingbird Probability Mapping IndicatorHummingbird Probability Mapping Indicator - A nature inspired indicator that utilizes combinations of the following trend patterns and projects a probability mapping with greater than 70% accuracy based on real-time analysis.
EMA Trend
MACD
RSI
VWAP Spread
Burst
Squeeze
Volatility (ATRp)
Qi Dass
MFx Radar (Money Flow x-Radar)Description:
MFx Radar is a precision-built multi-timeframe analysis tool designed to identify high-probability trend shifts and accumulation/distribution events using a combination of WaveTrend dynamics, normalized money flow, RSI, BBWP, and OBV-based trend biasing.
Multi-Timeframe Trend Scanner
Analyze trend direction across 5 customizable timeframes using WaveTrend logic to produce a clear trend consensus.
Smart Money Flow Detection
Adaptive hybrid money flow combines CMF and MFI, normalized across lookback periods, to pinpoint shifts in accumulation or distribution with high sensitivity.
Event-Based Labels & Alerts
Minimalist "Accum" and "Distr" text labels appear at key inflection points, based on hybrid flow flips — designed to highlight smart money moves without clutter.
Trigger & Pattern Recognition
Built-in logic detects anchor points, trigger confirmations, and rare "Snake Eye" formations directly on WaveTrend, enhancing trade timing accuracy.
Visual Dashboard Table
A real-time table provides score-based insight into signal quality, trend direction, and volume behavior, giving you a full picture at a glance.
MFx Radar helps streamline discretionary and system-based trading decisions by surfacing key confluences across price, volume, and momentum all while staying out of your way visually.
How to Use MFx Radar
MFx Radar is a multi-timeframe market intelligence tool designed to help you spot trend direction, momentum shifts, volume strength, and high-probability trade setups using confluence across price, flow, and timeframes.
Where to find settings To see the full visual setup:
After adding the script, open the Settings gear. Go to the Inputs tab and enable:
Show Trigger Diamonds
Show WT Cross Circles
Show Anchor/Trigger/Snake Eye Labels
Show Table
Show OBV Divergence
Show Multi-TF Confluence
Show Signal Score
Then, go to the Style tab to adjust colors and fills for the wave plots and hybrid money flow. (Use published chart as a reference.)
What the Waves and Colors Mean
Blue WaveTrend (WT1 / WT2). These are the main momentum waves.
WT1 > WT2 = bullish momentum
WT1 < WT2 = bearish momentum
Above zero = bullish bias
Below zero = bearish bias
When WT1 crosses above WT2, it often marks the beginning of a move — these are shown as green trigger diamonds.
VWAP-MACD Line
The yellow fill helps spot volume-based momentum.
Rising = trend acceleration
Use together with BBWP (bollinger band width percentile) and hybrid money flow for confirmation.
Hybrid Money Flow
Combines CMF and MFI, normalized and smoothed.
Green = accumulation
Red = distribution
Transitions are key — especially when price moves up, but money flow stays red (a divergence warning).
This is useful for spotting fakeouts or confirming smart money shifts.
Orange Vertical Highlights
Shows when price is rising, but money flow is still red.
Often a sign of hidden distribution or "exit pump" behavior.
Table Dashboard (Bottom-Right)
BBWP (Volatility Pulse)
When BBWP is low (<20), it signals consolidation — a breakout is likely to follow.
Use this with ADX and WaveTrend position to anticipate directional breakouts.
Trend by ADX
Shows whether the market is trending and in which direction.
Combined with money flow and RSI, this gives strong confirmation on breakouts.
OBV HTF Bias
Gives higher timeframe pressure (bullish/bearish/neutral).
Helps avoid taking counter-trend trades.
Pattern Labels (WT-Based)
A = Anchor Wave — WT hitting oversold
T = Trigger Wave — WT turning back up after anchor
👀 = Snake Eyes — Rare pattern, usually signaling strong reversal potential
These help in timing entries, especially when they align with other signals like BBWP breakouts, confluence, or smart money flow flips.
Multi-Timeframe (MTF) Consensus
The system checks WaveTrend on 5 different timeframes and gives:
Color-coded signals on each TF
A final score: “Mostly Up,” “Mostly Down,” or “Mixed”
When MTFs align with wave crosses, BBWP expansion, and hybrid money flow shifts, the probability of sustained move is higher.
Divergence Spotting (Advanced Tip)
Watch for:Price rising while money flow is red → Possible trap / early exit
Price dropping while money flow is green → Early accumulation
Combine this with anchor-trigger patterns and MTF trend support for spotting bottoms or tops early.
Final Tips
Use WT trigger crosses as initial signal. Confirm with money flow direction + color flip
Look at BBWP for breakout timing. Use table as your decision dashboard
Favor trades that align with MTF consensus
Sentiment Navigator｜SuperFundedSentiment Navigator — Momentum × Volatility Heatmap
What it is
Sentiment Navigator blends momentum (RSI) with volatility (ATR normalized by price) to visualize market psychology using a background heatmap and a lower oscillator.
・Background: quick read of the market’s “temperature” → Extreme Greed / Greed / Neutral / Fear / Extreme Fear.
・Oscillator: a bounded sentiment score from -100 to +100 showing bias strength and potential extremes.
Why this is not a simple mashup
Instead of showing RSI and ATR separately, this tool integrates them into a single, weighted score and a state machine:
・Context-aware weighting: When volatility is high (ATR vs its SMA baseline), the score is amplified, reflecting that momentum matters more in turbulent regimes.
・Unified states: RSI thresholds classify regimes (Greed/Fear) and are conditioned by volatility to promote Extreme states only when justified.
・Actionable cues: Reversal labels appear at the extreme levels with candle confirmation to reduce noise.
How it works (concise)
1. Momentum: RSI(len) (default 21).
2. Volatility: ATR(len)/close*100 (default ATR=14), smoothed by SMA(volSmaLen) and compared using volMultiplier.
3. Sentiment score: transform RSI to (-100..+100) via (RSI-50)*2, then amplify ×1.5 when high volatility. Finally clamp to .
4. States:
・RSI > greedLevel → Greed (upgraded to Extreme Greed if high vol)
・RSI < fearLevel → Fear (upgraded to Extreme Fear if high vol)
・else Neutral
5. Plotting:
・Oscillator (area) with 0-line and dotted extreme bands.
・Background color by state (greens for Greed, reds for Fear, gray for Neutral).
6. Signals (optional):
・Buy: crossover(score, -extremeGreedLevel) and close > open → prints ▲ at -extremeGreedLevel
・Sell: crossunder(score, extremeGreedLevel) and close < open → prints ▼ at +extremeGreedLevel
Parameters (UI mapping)
Core
・RSI Length (rsiLen)
・ATR Length (atrLen)
・Volatility SMA Length (volSmaLen)
・High-Vol Multiplier (volMultiplier)
State thresholds
・Extreme Greed (extremeGreedLevel)
・Greed (greedLevel)
・Fear (fearLevel)
・Extreme Fear (extremeFearLevel)
Display
・Show Background (showBgColor)
・Show Reversal Signals (showSignals)
Practical usage
・Regime read: Treat greens as risk-on bias, reds as risk-off, gray as indecision.
・Entries: Use ▲/▼ as triggers, not commands—wait for price action (wicks/engulfings) at structure.
・Extreme management: At Extreme states, favor mean-reversion tactics; in plain Greed/Fear with low vol, trends may persist longer.
・Tuning:
・Raise greedLevel/fearLevel to reduce signals.
・Increase volMultiplier to demand stronger vol for “Extreme” states.
Repainting & confirmation
Signals rely on cross events of the oscillator; judge on bar close for stricter rules. Background/state can change intrabar as RSI/ATR evolve.
Disclaimer
No indicator guarantees outcomes. News/liquidity can override signals. Trade responsibly with proper risk controls.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
Sentiment Navigator — クイックガイド（日本語）
概要
本インジは RSI（モメンタム） と ATR/価格（ボラティリティ） を統合し、背景のヒートマップと下部オシレーターで市場心理を可視化します。
・背景色：極度の強欲 / 強欲 / 中立 / 恐怖 / 極度の恐怖 を直感表示。
・オシレーター：-100〜+100 のスコアでバイアスの強さと過熱を示します。
独自性・新規性
・高ボラ状態ではスコアを増幅し、同じRSIでも環境次第で体感インパクトを反映。
・RSIしきい値×ボラで極端ゾーンの発生を制御し、意義のあるExtremeのみ点灯。
・反転ラベルは極端レベルのクロス＋ローソク条件で点灯し、ノイズを抑制。
仕組み（要点）
1. RSI を算出。
2. ATR/close*100 を SMA と比較し、しきい値倍率で高ボラを判定。
3. score = (RSI-50)*2 を 高ボラで×1.5、 にクランプ。
4. 状態：RSI>Greed → Greed/Extreme Greed、RSI
SEVENX|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
Rsi TrendLines with Breakouts [KoTa]### RSI TrendLines with Breakouts Indicator: Detailed User Guide
The "RSI TrendLines with Breakouts " indicator is a custom Pine Script tool designed for TradingView. It builds on the standard Relative Strength Index (RSI) by adding dynamic trendlines based on RSI pivots (highs and lows) across multiple user-defined periods. These trendlines act as support and resistance levels on the RSI chart, and the indicator detects breakouts when the RSI crosses these lines, generating potential buy (long) or sell (short) signals. It also includes overbought/oversold thresholds and optional breakout labels. Below, I'll provide a detailed explanation in English, covering how to use it, its purpose, advantages and disadvantages, example strategies, and ways to enhance strategies with other indicators.
How to Use the Indicator
- The indicator uses `max_lines_count=500` to handle a large number of lines without performance issues, but on very long charts, you may need to zoom in for clarity.
1. **Customizing Settings**:
The indicator has several input groups for flexibility. Access them via the gear icon next to the indicator's name on the chart.
- **RSI Settings**:
- RSI Length: Default 14. This is the period for calculating the RSI. Shorter lengths (e.g., 7-10) make it more sensitive to recent price changes; longer (e.g., 20+) smooth it out for trends.
- RSI Source: Default is close price. You can change to open, high, low, or other sources like volume-weighted for different assets.
- Overbought Level: Default 70. RSI above this suggests potential overbuying.
- Oversold Level: Default 30. RSI below this suggests potential overselling.
- **Trend Periods**:
- You can enable/disable up to 5 periods (defaults: Period 1=3, Period 2=5, Period 3=10, Period 4=20, Period 5=50). Only enabled periods will draw trendlines.
- Each period detects pivots (highs/lows) in RSI using `ta.pivothigh` and `ta.pivotlow`. Shorter periods (e.g., 3-10) capture short-term trends; longer ones (20-50) show medium-to-long-term momentum.
- Inline checkboxes allow you to toggle display for each (e.g., display_p3=true by default).
- **Color Settings**:
- Resistance/Support Color: Defaults to red for resistance (up-trendlines from RSI highs) and green for support (down-trendlines from RSI lows).
- Labels for breakouts use green for "B" (buy/long) and red for "S" (sell/short).
- **Breakout Settings**:
- Show Prev. Breakouts: If true, displays previous breakout labels (up to "Max Prev. Breakouts Label" +1, default 2+1=3).
- Show Breakouts: Separate toggles for each period (e.g., show_breakouts3). When enabled, dotted extension lines project the trendline forward, and crossovers/crossunders trigger labels like "B3" (breakout above resistance for Period 3) or "S3" (break below support).
- Note: Divergence detection is commented out in the code. If you want to enable it, uncomment the relevant sections (e.g., show_divergence input) and adjust the lookback (default 5 bars) for spotting bullish/bearish divergences between price and RSI.
2. **Interpreting the Visuals**:
- **RSI Plot**: A blue line showing the RSI value (0-100). Horizontal dashed lines at 70 (red, overbought), 30 (green, oversold), and 50 (gray, midline).
- **Trendlines**: Solid lines connecting recent RSI pivots. Green lines (support) connect lows; red lines (resistance) connect highs. Only the most recent line per direction is shown per period to avoid clutter.
- **Breakout Projections**: Dotted lines extend the current trendline forward. When RSI crosses above a red dotted resistance, a "B" label (e.g., "B1") appears above, indicating a potential bullish breakout. Crossing below a green dotted support shows an "S" label below, indicating bearish.
- **Labels**: Current breakouts are bright (green/red); previous ones fade to gray. Use these as signal alerts.
- **Alerts**: The code includes commented-out alert conditions (e.g., for breakouts or RSI crossing levels). Uncomment and set them up in TradingView's alert menu for notifications.
3. **Best Practices**:
- Use on RSI-compatible timeframes (e.g., 1H, 4H, daily) for stocks, forex, or crypto.
- Combine with price chart: Trendlines are on RSI, so check if RSI breakouts align with price action (e.g., breaking a price resistance).
- Test on historical data: Backtest signals using TradingView's replay feature.
- Avoid over-customization initially—start with defaults (Periods 3 and 5 enabled) to understand behavior.
What It Is Used For
This indicator is primarily used for **momentum-based trend analysis and breakout trading on the RSI oscillator**. Traditional RSI identifies overbought/oversold conditions, but this enhances it by drawing dynamic trendlines on RSI itself, treating RSI as a "price-like" chart for trend detection.
- **Key Purposes**:
- **Identifying Momentum Trends**: RSI trendlines show if momentum is strengthening (upward-sloping support) or weakening (downward-sloping resistance), even if price is ranging.
- **Spotting Breakouts**: Detects when RSI breaks its own support/resistance, signaling potential price reversals or continuations. For example, an RSI breakout above resistance in an oversold zone might indicate a bullish price reversal.
- **Multi-Period Analysis**: By using multiple pivot periods, it acts like a multi-timeframe tool within RSI, helping confirm short-term signals with longer-term trends.
- **Signal Generation**: Breakout labels provide entry/exit points, especially in trending markets. It's useful for swing trading, scalping, or confirming trends in larger strategies.
- **Divergence (Optional)**: If enabled, it highlights mismatches between price highs/lows and RSI, which can predict reversals (e.g., bullish divergence: price lower low, RSI higher low).
Overall, it's ideal for traders who rely on oscillators but want more visual structure, like trendline traders applying price concepts to RSI.
Advantages and Disadvantages
**Advantages**:
- **Visual Clarity**: Trendlines make RSI easier to interpret than raw numbers, helping spot support/resistance in momentum without manual drawing.
- **Multi-Period Flexibility**: Multiple periods allow analyzing short- and long-term momentum simultaneously, reducing noise from single-period RSI.
- **Breakout Signals**: Automated detection of breakouts provides timely alerts, with labels and projections for proactive trading. This can improve entry timing in volatile markets.
- **Customization**: Extensive inputs (periods, colors, breakouts) make it adaptable to different assets/timeframes. The stateful management of lines/labels prevents chart clutter.
- **Complementary to Price Action**: Enhances standard RSI by adding trend context, useful for confirming divergences or overbought/oversold trades.
- **Efficiency**: Uses efficient arrays and line management, supporting up to 500 lines for long charts without lagging TradingView.
**Disadvantages**:
- **Lagging Nature**: Based on historical pivots, signals may lag in fast-moving markets, leading to late entries. Shorter periods help but increase whipsaws.
- **False Signals**: In ranging or sideways markets, RSI trendlines can produce frequent false breakouts. It performs better in trending conditions but may underperform without filters.
- **Over-Reliance on RSI**: Ignores volume, fundamentals, or price structure—breakouts might not translate to price moves if momentum decouples from price.
- **Complexity for Beginners**: Multiple periods and settings can overwhelm new users; misconfiguration (e.g., too many periods) leads to noisy charts.
- **No Built-in Risk Management**: Signals lack stop-loss/take-profit logic; users must add these manually.
- **Divergence Limitations**: The basic (commented) divergence detection is simplistic and may miss hidden divergences or require tuning.
In summary, it's powerful for momentum traders but should be used with confirmation tools to mitigate false positives.
Example Strategies
Here are one LONG (buy) and one SHORT (sell) strategy example using the indicator. These are basic; always backtest and use risk management (e.g., 1-2% risk per trade, stop-loss at recent lows/highs).
**LONG Strategy Example: Oversold RSI Support Breakout**
- **Setup**: Use on a daily chart for stocks or crypto. Enable Periods 3 and 5 (short- and medium-term). Set oversold level to 30.
- **Entry**: Wait for RSI to be in oversold (<30). Look for a "B" breakout label (e.g., "B3" or "B5") when RSI crosses above a red resistance trendline projection. Confirm with price forming a higher low or candlestick reversal (e.g., hammer).
- **Stop-Loss**: Place below the recent price low or the RSI support level equivalent in price terms (e.g., 5-10% below entry).
- **Take-Profit**: Target RSI reaching overbought (70) or a 2:1 risk-reward ratio. Exit on a bearish RSI crossunder midline (50).
- **Example Scenario**: In a downtrending stock, RSI hits 25 and forms a support trendline. On a "B5" breakout, enter long. This captures momentum reversals after overselling.
- **Rationale**: Breakout above RSI resistance in oversold signals fading selling pressure, potential for price uptrend.
**SHORT Strategy Example: Overbought RSI Resistance Breakout**
- **Setup**: Use on a 4H chart for forex pairs. Enable Periods 10 and 20. Set overbought level to 70.
- **Entry**: Wait for RSI in overbought (>70). Enter on an "S" breakout label (e.g., "S3" or "S4") when RSI crosses below a green support trendline projection. Confirm with price showing a lower high or bearish candlestick (e.g., shooting star).
- **Stop-Loss**: Above the recent price high or RSI resistance level (e.g., 5-10% above entry).
- **Take-Profit**: Target RSI hitting oversold (30) or a 2:1 risk-reward. Exit on bullish RSI crossover midline (50).
- **Example Scenario**: In an uptrending pair, RSI peaks at 75 with a resistance trendline. On "S4" breakout, enter short. This targets momentum exhaustion after overbuying.
- **Rationale**: Break below RSI support in overbought indicates weakening buying momentum, likely price downturn.
Enhancing Strategy Validity with Other Indicators
To increase the reliability of strategies based on this indicator, combine it with complementary tools for confirmation, filtering false signals, and adding context. This creates multi-indicator strategies that reduce whipsaws and improve win rates. Focus on indicators that address RSI's weaknesses (e.g., lagging, momentum-only). Below are examples of different indicators, how to integrate them, and sample strategies.
1. **Moving Averages (e.g., SMA/EMA)**:
- **How to Use**: Overlay 50/200-period EMAs on the price chart. Use RSI breakouts only in the direction of the trend (e.g., long only if price > 200 EMA).
- **Strategy Example**: Trend-Following Long – Enter on "B" RSI breakout if price is above 200 EMA and RSI > 50. This filters reversals in uptrends. Add MACD crossover for entry timing. Advantage: Aligns momentum with price trend, reducing counter-trend trades.
2. **Volume Indicators (e.g., Volume Oscillator or OBV)**:
- **How to Use**: Require increasing volume on RSI breakouts (e.g., OBV making higher highs on bullish breakouts).
- **Strategy Example**: Volume-Confirmed Short – On "S" breakout, check if volume is rising and OBV breaks its own trendline downward. Enter short only if confirmed. This validates breakouts with real market participation, avoiding low-volume traps.
3. **Other Oscillators (e.g., MACD or Stochastic)**:
- **How to Use**: Use for divergence confirmation or overbought/oversold alignment. For instance, require Stochastic (14,3,3) to also breakout from its levels.
- **Strategy Example**: Dual-Oscillator Reversal Long – Enable divergence in the indicator. Enter on bullish RSI divergence + "B" breakout if MACD histogram flips positive. Exit on MACD bearish crossover. This strengthens reversal signals by cross-verifying momentum.
4. **Price Action Tools (e.g., Support/Resistance or Candlestick Patterns)**:
- **How to Use**: Map RSI trendlines to price levels (e.g., if RSI resistance breaks, check if price breaks a key resistance).
- **Strategy Example**: Price-Aligned Breakout Short – On "S" RSI breakout in overbought, confirm with price breaking below a drawn support line or forming a bearish engulfing candle. Use Fibonacci retracements for targets. This ensures momentum translates to price movement.
5. **Volatility Indicators (e.g., Bollinger Bands or ATR)**:
- **How to Use**: Avoid trades during low volatility (e.g., Bollinger Band squeeze) to filter ranging markets. Use ATR for dynamic stops.
- **Strategy Example**: Volatility-Filtered Long – Enter "B" breakout only if Bollinger Bands are expanding (increasing volatility) and RSI is oversold. Set stop-loss at 1.5x ATR below entry. This targets high-momentum breakouts while skipping choppy periods.
**General Tips for Building Enhanced Strategies**:
- **Layering**: Start with RSI breakout as the primary signal, add 1-2 confirmations (e.g., EMA trend + volume).
- **Backtesting**: Use TradingView's strategy tester to quantify win rates with/without additions.
- **Risk Filters**: Incorporate overall market sentiment (e.g., via VIX) or avoid trading near news events.
- **Timeframe Alignment**: Use higher timeframes for trend (e.g., daily EMA) and lower for entries (e.g., 1H RSI breakout).
- **Avoid Overloading**: Too many indicators cause paralysis; aim for synergy (e.g., trend + momentum + volume).
This indicator is a versatile tool, but success depends on context and discipline. If you need code modifications or specific backtests, provide more details!
Relative Strength Index with buy sell strategy📈 RSI Scalping Strategy (95% Winning Trades)
1️⃣ The Principle
In scalping, timing is everything.
We use one powerful indicator: RSI on the 1-minute chart (M1) ⏱️
2️⃣ RSI Zones Setup
🔼 Overbought (Sell)
Base line → 70
Add extra levels → 75 – 80 – 85
🔽 Oversold (Buy)
Base line → 30
Add extra levels → 25 – 20 – 15
👉 These levels act as progressive entry signals using the DCA (Dollar Cost Averaging) method.
3️⃣ Concrete Example (on XAUUSD / Gold 🌟)
Price hits RSI 25 → Enter with 0.1 lot
RSI drops to 20 → Add 0.2 lot
RSI falls to 15 → Add 0.5 lot
⚡️ Why does this work?
Because at these extremes, the market is overheated and almost always makes a quick correction.
4️⃣ Exiting the Trade (Take Profit)
🎯 Target: Close between RSI 40 – 45
❌ Never wait beyond RSI 50
✅ Summary:
Only enter at RSI extreme zones 🔫
Use progressive entries (DCA) ✔️
Exit when RSI reverts to the middle zone 💰
