OpenAI Signal Generator - Enhanced Accuracy# AI-Powered Trading Signal Generator Guide
## Overview
This is an advanced trading signal generator that combines multiple technical indicators using AI-enhanced logic to generate high-accuracy trading signals. The indicator uses a sophisticated combination of RSI, MACD, Bollinger Bands, EMAs, ADX, and volume analysis to provide reliable buy/sell signals with comprehensive market analysis.
## Key Features
### 1. Multi-Indicator Analysis
- **RSI (Relative Strength Index)**
- Length: 14 periods (default)
- Overbought: 70 (default)
- Oversold: 30 (default)
- Used for identifying overbought/oversold conditions
- **MACD (Moving Average Convergence Divergence)**
- Fast Length: 12 (default)
- Slow Length: 26 (default)
- Signal Length: 9 (default)
- Identifies trend direction and momentum
- **Bollinger Bands**
- Length: 20 periods (default)
- Multiplier: 2.0 (default)
- Measures volatility and potential reversal points
- **EMAs (Exponential Moving Averages)**
- Fast EMA: 9 periods (default)
- Slow EMA: 21 periods (default)
- Used for trend confirmation
- **ADX (Average Directional Index)**
- Length: 14 periods (default)
- Threshold: 25 (default)
- Measures trend strength
- **Volume Analysis**
- MA Length: 20 periods (default)
- Threshold: 1.5x average (default)
- Confirms signal strength
### 2. Advanced Features
- **Customizable Signal Frequency**
- Daily
- Weekly
- 4-Hour
- Hourly
- On Every Close
- **Enhanced Filtering**
- EMA crossover confirmation
- ADX trend strength filter
- Volume confirmation
- ATR-based volatility filter
- **Comprehensive Alert System**
- JSON-formatted alerts
- Detailed technical analysis
- Multiple timeframe analysis
- Customizable alert frequency
## How to Use
### 1. Initial Setup
1. Open TradingView and create a new chart
2. Select your preferred trading pair
3. Choose an appropriate timeframe
4. Apply the indicator to your chart
### 2. Configuration
#### Basic Settings
- **Signal Frequency**: Choose how often signals are generated
- Daily: Signals at the start of each day
- Weekly: Signals at the start of each week
- 4-Hour: Signals every 4 hours
- Hourly: Signals every hour
- On Every Close: Signals on every candle close
- **Enable Signals**: Toggle signal generation on/off
- **Include Volume**: Toggle volume analysis on/off
#### Technical Parameters
##### RSI Settings
- Adjust `rsi_length` (default: 14)
- Modify `rsi_overbought` (default: 70)
- Modify `rsi_oversold` (default: 30)
##### EMA Settings
- Fast EMA Length (default: 9)
- Slow EMA Length (default: 21)
##### MACD Settings
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
##### Bollinger Bands
- Length (default: 20)
- Multiplier (default: 2.0)
##### Enhanced Filters
- ADX Length (default: 14)
- ADX Threshold (default: 25)
- Volume MA Length (default: 20)
- Volume Threshold (default: 1.5)
- ATR Length (default: 14)
- ATR Multiplier (default: 1.5)
### 3. Signal Interpretation
#### Buy Signal Requirements
1. RSI crosses above oversold level (30)
2. Price below lower Bollinger Band
3. MACD histogram increasing
4. Fast EMA above Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
#### Sell Signal Requirements
1. RSI crosses below overbought level (70)
2. Price above upper Bollinger Band
3. MACD histogram decreasing
4. Fast EMA below Slow EMA
5. ADX above threshold (25)
6. Volume above threshold (if enabled)
7. Market volatility check (if enabled)
### 4. Visual Indicators
#### Chart Elements
- **Moving Averages**
- SMA (Blue line)
- Fast EMA (Yellow line)
- Slow EMA (Purple line)
- **Bollinger Bands**
- Upper Band (Green line)
- Middle Band (Orange line)
- Lower Band (Green line)
- **Signal Markers**
- Buy Signals: Green triangles below bars
- Sell Signals: Red triangles above bars
- **Background Colors**
- Light green: Buy signal period
- Light red: Sell signal period
### 5. Alert System
#### Alert Types
1. **Signal Alerts**
- Generated when buy/sell conditions are met
- Includes comprehensive technical analysis
- JSON-formatted for easy integration
2. **Frequency-Based Alerts**
- Daily/Weekly/4-Hour/Hourly/Every Close
- Includes current market conditions
- Technical indicator values
#### Alert Message Format
```json
{
"symbol": "TICKER",
"side": "BUY/SELL/NONE",
"rsi": "value",
"macd": "value",
"signal": "value",
"adx": "value",
"bb_upper": "value",
"bb_middle": "value",
"bb_lower": "value",
"ema_fast": "value",
"ema_slow": "value",
"volume": "value",
"vol_ma": "value",
"atr": "value",
"leverage": 10,
"stop_loss_percent": 2,
"take_profit_percent": 5
}
```
## Best Practices
### 1. Signal Confirmation
- Wait for multiple confirmations
- Consider market conditions
- Check volume confirmation
- Verify trend strength with ADX
### 2. Risk Management
- Use appropriate position sizing
- Implement stop losses (default 2%)
- Set take profit levels (default 5%)
- Monitor market volatility
### 3. Optimization
- Adjust parameters based on:
- Trading pair volatility
- Market conditions
- Timeframe
- Trading style
### 4. Common Mistakes to Avoid
1. Trading without volume confirmation
2. Ignoring ADX trend strength
3. Trading against the trend
4. Not considering market volatility
5. Overtrading on weak signals
## Performance Monitoring
Regularly review:
1. Signal accuracy
2. Win rate
3. Average profit per trade
4. False signal frequency
5. Performance in different market conditions
## Disclaimer
This indicator is for educational purposes only. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. Trading involves significant risk of loss and is not suitable for all investors.
Cerca negli script per "relative strength"
Uptrick: Z-Trend BandsOverview
Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table.
Introduction
Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify.
Purpose
This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance.
Originality and Uniqueness
Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis.
Why Each Component Was Picked
The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency.
Features
This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent:
Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes.
A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured.
EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed.
Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings.
Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands.
A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious.
Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum.
A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency.
Calculations
Compute the fair-value EMA over fairLen bars.
Subtract that EMA from current price each bar to derive the raw deviation.
Over zLen bars, calculate the rolling mean and standard deviation of those deviations.
Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation.
Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA.
Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen.
Derive the RSI slope by taking the difference between the current and previous smoothed RSI.
Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar.
Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry).
On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero.
For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status.
Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.”
Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations.
How It Actually Works
On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues.
Inputs
All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style:
EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price.
Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility.
Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves.
Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations.
RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier.
RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise.
Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions.
Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries.
Show scoring table (enableTable): toggle the display of the five-metric breakdown table.
Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table.
Conclusion
By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Sri_Momentum Burst Histogram📝 Description :
🌀 Sri_Momentum Burst Histogram — A Custom Momentum and Volatility Fusion Tool
The Sri_Momentum Burst Histogram is a unique technical analysis tool designed to visualize sudden changes in price momentum in the form of a dynamic, color-coded histogram. This indicator helps traders identify trend accelerations, early momentum shifts, and potential exhaustion in real time.
By combining a MACD-like momentum engine with a volatility-sensitive Bollinger Band range, this script offers an enhanced view of market bursts — moments where momentum "pops" beyond typical ranges. The result is a refined perspective on market sentiment, helping traders to anticipate reversals, follow breakouts, and assess the relative strength of ongoing trends.
🧠 Core Methodology
The indicator calculates the difference between a fast and slow EMA (Exponential Moving Average), similar to a MACD histogram.
This difference is then compared across candles to gauge the rate of change in momentum — referred to here as a “momentum burst.”
A sensitivity multiplier allows you to scale the response based on your preferred timeframe and trading style.
A volatility band, derived from Bollinger Band logic, is used to frame the relative intensity of the momentum change.
The histogram is divided into two parts:
Green/Lime Bars represent increasing and decreasing bullish momentum.
Red/Orange Bars represent increasing and decreasing bearish momentum.
⚙️ Customizable Inputs
Momentum Sensitivity: Adjust the responsiveness of the burst detection mechanism.
Short EMA Period: Sets the lookback period for the fast EMA.
Long EMA Period: Sets the lookback period for the slow EMA.
Volatility Band Length: Controls the length used for Bollinger Band calculations.
Band Std Dev Multiplier: Adjusts how wide the volatility range should be, based on price dispersion.
📈 How to Use It
Use the green/red histogram bars to visually gauge momentum strength and direction.
Watch for transitions in color intensity (e.g., green to lime, red to orange) as early warning signs of trend exhaustion or reversal.
Combine with other indicators like RSI, MACD, ADX, or volume profiles to confirm entry/exit points.
Useful in both trending and ranging markets, especially on lower timeframes for scalping or intraday setups.
✅ Key Features
Easy-to-read histogram with intuitive color coding.
Fully customizable settings for fine-tuned signal control.
Can be used on any asset class — stocks, forex, crypto, commodities.
Optimized for real-time use with minimal lag.
🔐 This script is an original creation, developed independently by adapting publicly known mathematical concepts into a unique visualization tool. All function and variable names have been customized for originality and compliance with TradingView’s publishing and community standards.
💡 Developed by: @venkat_27
🧩 For educational purposes only — not financial advice.
Normalized DXY+Custom USD Index (DXY+) – Normalized Dollar Strength with Bitcoin, Gold, and Yuan.
This custom USD strength index replicates the structure of the official U.S. Dollar Index (DXY), while expanding it to include modern financial assets such as Bitcoin (BTC), Ethereum (ETH), gold (XAU), and the Chinese yuan (CNY).
Weights for the core fiat currencies (EUR, JPY, GBP, CAD, SEK, CHF) follow the official ICE DXY methodology. Additional components are weighted proportionally based on their estimated global economic influence.
The index is normalized from its initial valid data point, meaning it starts at 100 on the first day all asset inputs are available. From that point forward, it tracks the relative strength of the U.S. dollar against this expanded basket.
This provides a more comprehensive and modernized view of the dollar's strength—not only against traditional fiat currencies, but also in the context of rising decentralized assets and non-Western trade power.
Money Flow: In & Out Detector[THANHCONG]Indicator Name:
Money Flow: In & Out Detector
Indicator Description:
The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market.
This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors:
RSI > 50 and MFI > 50: Money inflow, indicating a buy signal.
RSI < 50 and MFI < 50: Money outflow, indicating a sell signal.
Volume increase/decrease relative to the average: Identifies strong market behavior changes.
Adjustable Parameters:
RSI Length: The number of periods to calculate the RSI (default is 14).
MFI Length: The number of periods to calculate the MFI (default is 14).
Volume MA Length: The number of periods to calculate the moving average of volume (default is 20).
Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%).
Look Back Period: The number of periods used to identify peaks and troughs (default is 20).
How to Use the Indicator:
Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal.
Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal.
Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions.
Note:
This indicator assists in decision-making, but does not replace comprehensive market analysis.
Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals.
Steps for Publishing the Indicator on TradingView:
Log in to TradingView:
Go to TradingView and log into your account.
Access Pine Script Editor:
Click on Pine Editor from the menu under the chart.
Paste your Pine Script® code into the editor window.
Check the Source Code:
Ensure your code is error-free and running correctly.
Review the entire source code and add the MPL-2.0 license notice if necessary.
Save and Publish:
After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart.
If satisfied with the result, click Publish Script at the top right of the Pine Editor.
Provide a name for the indicator and then enter the detailed description you’ve prepared.
Ensure you specify the MPL-2.0 license in the description if required.
Choose the Access Type:
You can choose either Public or Private access for your indicator depending on your intention.
Submit for Publication:
Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval.
User Guide:
You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example:
Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy.
Interpreting In/Out Signals: When there is strong money inflow (In), consider entering a buy order. When there is strong money outflow (Out), consider selling.
[blackcat] L1 Swing Reversal IndexOVERVIEW
The indicator is crafted to assist traders in identifying potential swing reversal points within various markets 📈✨. This sophisticated tool combines elements from price deviations, smoothed moving averages, and relative strength indices (RSIs) to generate actionable trade signals, making it easier for users to spot lucrative entry/exit opportunities. By visualizing key market conditions through customizable plots and labels, this indicator simplifies complex analyses into straightforward decisions.
Ideal for day traders or swing traders looking to capitalize on short-to-medium-term trends, the offers invaluable insights into market sentiment changes enabling precise timing of trades.
FEATURES
Dynamic Price Deviation Calculation: Computes adaptive price deviations considering both typical prices and volatility metrics.
Smoothed Deviations: Utilizes dual-smoothing techniques ensuring accurate reflection of underlying trends without excessive noise interference.
Enhanced RSI Integration: Includes a modified version of Relative Strength Index providing clearer overbought/oversold conditions.
Visual Signal Representation:
Colored columns indicating bullish/bearish pressure levels directly on the chart.
Dynamic labels marking specific buy/sell conditions enhancing clarity.
Customizable Parameters: Allows tweaking smoothing, volatility, and RSI periods according to user preferences facilitating tailored usage.
Alert Notifications: Supports real-time alerts via TradingView’s integrated system keeping traders informed promptly ✅🔔.
HOW TO USE
Script Setup:
Save the provided code under Indicators > Add Custom Indicator in your TradingView workspace.
Name appropriately and activate across desired charts.
Parameter Adjustments:
Configure Smoothing, Volatility, and RSI periods based on preferred trading styles or asset characteristics:
Shorter durations suit fast-paced environments while longer ones align better with slower-moving assets.
Experiment iteratively optimizing settings maximizing accuracy for specific needs.
Interpreting Plots/Labels:
Observe colored columns representing current market sentiment:
Green columns signify bullish momentum suggesting possible buying opportunities.
Red columns indicate bearish tendencies hinting at selling chances.
Note dynamic "BUY" & "SELL" labels triggered under predefined criteria guiding timely actions.
Incorporating Signals:
Integrate these generated cues within broader strategies leveraging support/resistance lines, volume data, etc., ensuring robust validation before executing trades.
Cross-reference alongside other complementary tools (e.g., MACD, Bollinger Bands) for added confirmation bolstering decision-making confidence.
Setting Up Alerts:
Enable alert notifications corresponding to crucial conditions ensuring timely updates via TradingView’s notification infrastructure.
Fine-tune alert messages reflecting personal requirements maintaining seamless workflow integration.
Testing & Validation:
Conduct thorough backtesting employing historical datasets verifying effectiveness amidst varying market scenarios.
Continuously refine parameter configurations enhancing overall performance mitigating false positives/negatives.
EXAMPLE SCENARIOS
Short-Term Trades: Capitalize on fleeting reversals by focusing primarily on shorter-period RSIs combined with swift price deviation movements.
Swing Strategies: Utilize medium-range settings identifying intermediate trend shifts maximizing profit potentials while minimizing risks.
LIMITATIONS
Accuracy relies heavily upon correctly configured inputs; hence regular re-evaluation aligning evolving dynamics proves imperative.
Excessive dependence solely on this metric might lead to missed opportunities during sideways/choppy phases necessitating additional confirmatory indicators.
Always complement outputs with fundamental analyses securing comprehensive perspectives effectively managing associated risks.
NOTES
Educational Insights: Gain deeper understanding exploring underlying principles behind price deviations and their role in technical analysis fostering better comprehension.
Risk Management Protocols: Employ strict risk management practices encompassing stop-loss/profit targets preserving capital integrity amid unpredictable market fluctuations.
Continuous Learning: Stay abreast exploring emerging financial landscapes incorporating innovative methodologies augmenting script utility and relevance.
THANKS
Thanks go out to everyone contributing towards refining and improving this script. Your valuable feedback fuels ongoing enhancements propelling superior trading experiences!
Fibonacci ReRSI LevelsOverview
The Fibonacci RSI Levels indicator plots key Fibonacci-based RSI levels directly on the price chart, offering a unique perspective on market momentum, potential reversal points, and support/resistance zones. By combining the Relative Strength Index (RSI) with Fibonacci retracement levels, this indicator helps traders identify overbought/oversold conditions, trend strength, and critical price levels for potential trading opportunities.
Key Features
Fibonacci RSI Levels: Plots five key levels—23.6% (Oversold), 38.2% (Downtrend Limit), 50.0% (Mid Level), 61.8% (Uptrend Limit), and 78.6% (Overbought)—based on a logarithmic RSI calculation.
Customizable Settings: Adjust the RSI length, line extension, timeframe, and level colors to suit your trading style.
Gradient Fills: Optional gradient fills between levels provide a visual representation of the price's position relative to key zones.
Multi-Timeframe Support: Use the current chart resolution or specify a custom timeframe (e.g., 1M, 5D, 240 for 4 hours) for flexible analysis.
Logarithmic RSI Calculation: Ideal for assets with exponential price movements, such as cryptocurrencies.
How It Works
The indicator uses a reverse-engineered RSI calculation, inspired by Giorgos Siligardos' concept, to determine price levels corresponding to specific Fibonacci RSI values. These levels are plotted as horizontal lines on the chart, each with a label showing the Fibonacci percentage and the exact price level. If enabled, gradient fills between the levels change color based on the price's position, enhancing visual interpretation.
Usage
Support and Resistance: The 38.2% and 61.8% levels often act as support and resistance in trending markets.
Overbought/Oversold Conditions: The 23.6% and 78.6% levels can indicate potential reversal points due to oversold or overbought conditions.
Trend Confirmation: The 50% level serves as a neutral zone or pivot point. Prices above this level may indicate an uptrend, while prices below suggest a downtrend.
Gradient Fills: Use the gradient fills to quickly assess the price's position within the key zones, aiding in decision-making for entries, exits, or reversals.
Interpretation
Uptrend: When the price is above the 50% level and approaching the 61.8% level, it may signal a strong uptrend.
Downtrend: When the price is below the 50% level and nearing the 38.2% level, it may indicate a downtrend.
Reversal Zones: Watch for price reactions near the 23.6% and 78.6% levels, as these can be areas of potential reversals.
Customization
RSI Length: Adjust the RSI period to fine-tune the sensitivity of the levels.
Line Extension: Control how far the levels extend into the future for better visualization.
Timeframe: Choose between the current chart resolution or a custom timeframe for multi-timeframe analysis.
Colors: Customize the colors of each level and enable gradient fills for enhanced visual clarity.
Sector 50MA vs 200MA ComparisonThis TradingView indicator compares the 50-period Moving Average (50MA) and 200-period Moving Average (200MA) of a selected market sector or index, providing a visual and analytical tool to assess relative strength and trend direction. Here's a detailed breakdown of its functionality:
Purpose: The indicator plots the 50MA and 200MA of a chosen sector or index on a separate panel, highlighting their relationship to identify bullish (50MA > 200MA) or bearish (50MA < 200MA) trends. It also includes a histogram and threshold lines to gauge momentum and key levels.
Inputs:
Resolution: Allows users to select the timeframe for calculations (Daily, Weekly, or Monthly; default is Daily).
Sector Selection: Users can choose from a list of sectors or indices, including Tech, Financials, Consumer Discretionary, Utilities, Energy, Communication Services, Materials, Industrials, Health Care, Consumer Staples, Real Estate, S&P 500 Value, S&P 500 Growth, S&P 500, NASDAQ, Russell 2000, and S&P SmallCap 600. Each sector maps to specific ticker pairs for 50MA and 200MA data.
Data Retrieval:
The indicator fetches closing prices for the 50MA and 200MA of the selected sector using the request.security function, based on the chosen timeframe and ticker pairs.
Visual Elements:
Main Chart:
Plots the 50MA (blue line) and 200MA (red line) for the selected sector.
Fills the area between the 50MA and 200MA with green (when 50MA > 200MA, indicating bullishness) or red (when 50MA < 200MA, indicating bearishness).
Threshold Lines:
Horizontal lines at 0 (zero line), 20 (lower threshold), 50 (center), 80 (upper threshold), and 100 (upper limit) provide reference points for the 50MA's position.
Fills between 0-20 (green) and 80-100 (red) highlight key zones for potential overbought or oversold conditions.
Sector Information Table:
A table in the top-right corner displays the selected sector and its corresponding 50MA and 200MA ticker symbols for clarity.
Alerts:
Generates alert conditions for:
Bullish Crossover: When the 50MA crosses above the 200MA (indicating potential upward momentum).
Bearish Crossover: When the 50MA crosses below the 200MA (indicating potential downward momentum).
Use Case:
Traders can use this indicator to monitor the relative strength of a sector's short-term trend (50MA) against its long-term trend (200MA).
The visual fill between the moving averages and the threshold lines helps identify trend direction, momentum, and potential reversal points.
The sector selection feature allows for comparative analysis across different market segments, aiding in sector rotation strategies or market trend analysis.
This indicator is ideal for traders seeking to analyze sector performance, identify trend shifts, and make informed decisions based on moving average crossovers and momentum thresholds.
Parameter Free RSI [InvestorUnknown]The Parameter Free RSI (PF-RSI) is an innovative adaptation of the traditional Relative Strength Index (RSI), a widely used momentum oscillator that measures the speed and change of price movements. Unlike the standard RSI, which relies on a fixed lookback period (typically 14), the PF-RSI dynamically adjusts its calculation length based on real-time market conditions. By incorporating volatility and the RSI's deviation from its midpoint (50), this indicator aims to provide a more responsive and adaptable tool for identifying overbought/oversold conditions, trend shifts, and momentum changes. This adaptability makes it particularly valuable for traders navigating diverse market environments, from trending to ranging conditions.
PF-RSI offers a suite of customizable features, including dynamic length variants, smoothing options, visualization tools, and alert conditions.
Key Features
1. Dynamic RSI Length Calculation
The cornerstone of the PF-RSI is its ability to adjust the RSI calculation period dynamically, eliminating the need for a static parameter. The length is computed using two primary factors:
Volatility: Measured via the standard deviation of past RSI values.
Distance from Midpoint: The absolute deviation of the RSI from 50, reflecting the strength of bullish or bearish momentum.
The indicator offers three variants for calculating this dynamic length, allowing users to tailor its responsiveness:
Variant I (Aggressive): Increases the length dramatically based on volatility and a nonlinear scaling of the distance from 50. Ideal for traders seeking highly sensitive signals in fast-moving markets.
Variant II (Moderate): Combines volatility with a scaled distance from 50, using a less aggressive adjustment. Strikes a balance between responsiveness and stability, suitable for most trading scenarios.
Variant III (Conservative): Applies a linear combination of volatility and raw distance from 50. Offers a stable, less reactive length adjustment for traders prioritizing consistency.
// Function that returns a dynamic RSI length based on past RSI values
// The idea is to make the RSI length adaptive using volatility (stdev) and distance from the RSI midpoint (50)
// Different "variant" options control how aggressively the length changes
parameter_free_length(free_rsi, variant) =>
len = switch variant
// Variant I: Most aggressive adaptation
// Uses standard deviation scaled by a nonlinear factor of distance from 50
// Also adds another distance-based term to increase length more dramatically
"I" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) *
math.pow(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100), 2)
) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
// Variant II: Moderate adaptation
// Adds the standard deviation and a distance-based scaling term (less nonlinear)
"II" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
)
// Variant III: Least aggressive adaptation
// Simply adds standard deviation and raw distance from 50 (linear scaling)
"III" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
math.ceil(math.abs(free_rsi - 50))
)
2. Smoothing Options
To refine the dynamic RSI and reduce noise, the PF-RSI provides smoothing capabilities:
Smoothing Toggle: Enable or disable smoothing of the dynamic length used for RSI.
Smoothing MA Type for RSI MA: Choose between SMA and EMA
Smoothing Length Options for RSI MA:
Full: Uses the entire calculated dynamic length.
Half: Applies half of the dynamic length for smoother output.
SQRT: Uses the square root of the dynamic length, offering a compromise between responsiveness and smoothness.
The smoothed RSI is complemented by a separate moving average (MA) of the RSI itself, further enhancing signal clarity.
3. Visualization Tools
The PF-RSI includes visualization options to help traders interpret market conditions at a glance.
Plots:
Dynamic RSI: Displayed as a white line, showing the adaptive RSI value.
RSI Moving Average: Plotted in yellow, providing a smoothed reference for trend and momentum analysis.
Dynamic Length: A secondary plot (in faint white) showing how the calculation period evolves over time.
Histogram: Represents the RSI’s position relative to 50, with color gradients.
Fill Area: The space between the RSI and its MA is filled with a gradient (green for RSI > MA, red for RSI < MA), highlighting momentum shifts.
Customizable bar colors on the price chart reflect trend and momentum:
Trend (Raw RSI): Green (RSI > 50), Red (RSI < 50).
Trend (RSI MA): Green (MA > 50), Red (MA < 50).
Trend (Raw RSI) + Momentum: Adds momentum shading (lighter green/red when RSI and MA diverge).
Trend (RSI MA) + Momentum: Similar, but based on the MA’s trend.
Momentum: Green (RSI > MA), Red (RSI < MA).
Off: Disables bar coloring.
Intrabar Updating: Optional real-time updates within each bar for enhanced responsiveness.
4. Alerts
The PF-RSI supports customizable alerts to keep traders informed of key events.
Trend Alerts:
Raw RSI: Triggers when the RSI crosses above (uptrend) or below (downtrend) 50.
RSI MA: Triggers when the moving average crosses 50.
Off: Disables trend alerts.
Momentum Alerts:
Triggers when the RSI crosses its moving average, indicating rising (RSI > MA) or declining (RSI < MA) momentum.
Alerts are fired once per bar close, with descriptive messages including the ticker symbol (e.g., " Uptrend on: AAPL").
How It Works
The PF-RSI operates in a multi-step process:
Initialization
On the first run, it calculates a standard RSI with a 14-period length to seed the dynamic calculation.
Dynamic Length Computation
Once seeded, the indicator switches to a dynamic length based on the selected variant, factoring in volatility and distance from 50.
If smoothing is enabled, the length is further refined using an SMA.
RSI Calculation
The adaptive RSI is computed using the dynamic length, ensuring it reflects current market conditions.
Moving Average
A separate MA (SMA or EMA) is applied to the RSI, with a length derived from the dynamic length (Full, Half, or SQRT).
Visualization and Alerts
The results are plotted, and alerts are triggered based on user settings.
This adaptive approach minimizes lag in fast markets and reduces false signals in choppy conditions, offering a significant edge over fixed-period RSI implementations.
Why Use PF-RSI?
The Parameter Free RSI stands out by eliminating the guesswork of selecting an RSI period. Its dynamic length adjusts to market volatility and momentum, providing timely signals without manual tweaking.
C&B Auto MK5C&B Auto MK5.2ema BullBear
Overview
The C&B Auto MK5.2ema BullBear is a versatile Pine Script indicator designed to help traders identify bullish and bearish market conditions across various timeframes. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, bull/bear signals, and market condition labels, making it suitable for swing trading, day trading, or scalping in trending or volatile markets.
What It Does
This indicator generates bull and bear signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, a 50/200 EMA trend filter, and user-defined time windows. It adapts to market volatility by adjusting EMA lengths and RSI thresholds. A dynamic cloud highlights trend direction or neutral zones, with candlestick coloring in neutral conditions. Market condition labels (current and historical) provide real-time trend and volatility context, displayed above the chart.
How It Works
The indicator uses the following components:
EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder triggers potential bull/bear signals. EMA lengths adjust based on volatility (e.g., 10/20 for volatile markets, 5/10 for non-volatile).
Dynamic Cloud: The area between the EMAs forms a cloud, colored green for bullish trends, red for bearish trends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility.
RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within volatility-adjusted bull/bear thresholds and not in overbought/oversold zones.
ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)).
50/200 EMA Trend Filter: An optional filter restricts bull signals to bullish trends (50 EMA > 200 EMA) and bear signals to bearish trends (50 EMA < 200 EMA).
Time Filter: Signals are restricted to a user-defined UTC time window (default 9:00–15:00), aligning with active trading sessions.
Market Condition Labels: Labels above the chart display the current trend (Bullish, Bearish, Neutral) and optionally volatility (e.g., “Bullish Volatile”). Up to two historical labels persist for a user-defined number of bars (default 5) to show recent trend changes.
Visual Aids: Bull signals appear as green triangles/labels below the bar, bear signals as red triangles/labels above. Candlesticks in neutral zones are colored (default yellow).
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to match your trading style.
Filters:
Enable/disable the ATR volatility filter to focus on high-volatility periods.
Enable/disable the 50/200 EMA trend filter to align signals with the broader trend.
Enable the time filter and set custom UTC hours/minutes (default 9:00–15:00).
Cloud Settings: Adjust the cloud width, neutral zone threshold, color, and transparency.
EMA Colors: Use default trend-based colors or set custom colors for short/long EMAs.
RSI Display: Toggle the scaled RSI and its thresholds, with customizable colors.
Signal Settings: Toggle bull/bear labels and set signal colors.
Market Condition Labels: Toggle current/historical labels, include/exclude volatility, and adjust decay period.
Interpret Signals:
Bull Signal: A green triangle or “Bull” label below the bar indicates potential bullish momentum (EMA crossover, RSI above bull threshold, within time window, passing filters).
Bear Signal: A red triangle or “Bear” label above the bar indicates potential bearish momentum (EMA crossunder, RSI below bear threshold, within time window, passing filters).
Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; consider range-bound strategies or avoid trading.
Market Condition Labels: Check labels above the chart for real-time trend (Bullish, Bearish, Neutral) and volatility status to confirm market context.
Monitor Context: Use the cloud, RSI, and labels to assess trend strength and volatility before acting on signals.
Unique Features
Volatility-Adaptive EMAs: Automatically adjusts EMA lengths based on ATR to suit volatile or non-volatile markets, reducing manual configuration.
Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets.
Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, simplifying momentum analysis relative to price.
Flexible Time Filtering: Supports precise UTC-based trading windows, ideal for day traders targeting specific sessions.
Historical Market Labels: Displays recent trend changes (up to two) with a decay period, providing context for market shifts.
50/200 EMA Trend Filter: Aligns signals with the broader market trend, enhancing signal reliability.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in fast-moving markets due to EMA-based calculations.
Neutral zone detection may vary in extremely volatile or illiquid markets.
Time filters are UTC-based; ensure your platform’s timezone settings align.
This indicator is designed for traders seeking a customizable, trend-following tool that adapts to volatility and provides clear visual cues with robust filtering for bullish and bearish market conditions.
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
Aggregate OI = Sum of normalized open interest from selected exchanges
OI Change = Current OI - Previous OI
OI Delta = Net change in open interest across timeframes
OI Delta × Volume = OI Delta weighted by relative volume
OI RSI = Relative Strength Index applied to open interest values
OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Open Interest: Candlestick representation of aggregated open interest
OI Change: Histogram showing period-to-period changes
OI Delta: Histogram displaying net OI movements
OI Delta × Volume: Volume-weighted OI delta for enhanced signals
OI RSI: Oscillator showing overbought/oversold OI conditions
OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days)
Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest
Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity.
Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend.
Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal.
Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections.
Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming.
Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
Fibonacci - RSI OscillatorIndicator Overview
The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys.
Core Calculation Mechanism
Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir).
Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley:
If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236
If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236
This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates.
Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation.
RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc).
Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line.
Key Features & Components
Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio.
Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level.
Signal Line: A moving average of the primary RSI line.
Overbought/Oversold Levels: User-defined threshold lines.
Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation.
Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels.
Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory.
Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100.
Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles.
Visual Elements Explained
Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable).
Signal Line: The moving average of the RSI line (color/width/MA type configurable).
OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable).
Mid-Line (50): Horizontal line plotted at 50 (color/width configurable).
Zone Fills:
Background fill between 0-50 and 50-100 (colors configurable).
Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable).
Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Smoothing: Enable/disable dynamic level smoothing; set length and MA type.
RSI: Set the RSI calculation length.
Signal Line: Set the signal line smoothing length and MA type.
Levels: Define Overbought and Oversold numeric thresholds.
Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills.
Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient.
Interpretation Notes
The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context.
The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility.
As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system.
Risk Disclaimer:
Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
Custom Performance TableThis script generates a table designed to provide a concise yet highly customizable overview of the performance of multiple financial instruments, displayed directly on the chart. The table can include up to 40 tickers, each individually configurable, with values updated in real time based on either the current chart timeframe or a specific user-selected timeframe.
NOTE : The update frequency of the table values depends on the refresh rate of the chart's main ticker to which the indicator is applied. To ensure a consistent and reliable data feed, especially when monitoring heterogeneous instruments, it is recommended to apply the indicator to a highly liquid and continuously traded asset, such as BTCUSD.
PERFORMANCE CALCULATION MODES
You can choose from three different performance calculation modes:
1) Change % (Percentage Change)
Displays the percentage change of the current price compared to the previous candle within the selected timeframe.
(Current Price - Previous Price) / Previous Price * 100
This mode provides an immediate and straightforward measure of each instrument's percentage movement, useful for quick visual comparisons of relative strength among assets.
2) Z-Score
The Z-Score measures how much the current price variation deviates from the historical average variation, relative to the standard deviation of those variations.
(Current Variation - Average Variation) / Standard Deviation of Variations
The result indicates how statistically unusual a movement is:
- Values near 0 suggest normal variations.
- Values above ±2 indicate statistically significant deviations.
This is a valuable tool for identifying overbought/oversold conditions or market stress events and is often used in mean reversion strategies.
NOTE : Due to technical constraints, Z-Score can only be calculated when the selected timeframe matches the chart's timeframe exactly.
3) RAROC (Risk-Adjusted Return on Capital)
RAROC expresses an asset's performance in relation to the risk taken, measured through its volatility (standard deviation of price).
Percentage Change / Standard Deviation of Price
It allows for an assessment of return efficiency in relation to volatility.
A high RAROC value indicates a high return relative to the risk, making it a useful tool for comparing assets with different risk profiles. It is especially suitable for portfolio selection and allocation purposes.
TABLE CONFIGURATION
Each ticker can be customized with its own label, colors, and position in the table.
Each row can display the ticker name or a custom label, which, at the user's discretion, can either replace the name or be shown as an informational tooltip.
The table can be placed anywhere on the chart using horizontal and vertical offset parameters. Thanks to offset support, you can, for example, create financial market overview layouts. This can be done by completely “cleaning” the chart from price and indicators using TradingView settings, and then displaying multiple tables simultaneously (see the example chart published here).
Advanced customization options are also available for the table's appearance, including font settings, colors, borders, and more.
CALCULATION TIMEFRAME
The indicator allows the user to force a specific timeframe (Daily, Weekly, Monthly, Yearly) when applied to intraday charts.
However, for Z-Score mode, the selected timeframe must match the chart's timeframe exactly to ensure correct computation. Otherwise, the script will halt until settings are properly adjusted.
USAGE NOTES
Custom Performance Table is a flexible and adaptable tool, suitable for both intraday operations and medium- to long-term analysis. It is designed for traders and analysts who need to compare assets based on quantitative metrics, whether simple (like percentage change) or more advanced and risk-adjusted (such as Z-Score and RAROC).
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
RSI VWAP POC [Uncle Sam Trading]Category: Oscillators, Volume, Market Profile
Timeframe: Suitable for all timeframes
Markets: Crypto, Forex, Stocks, Commodities
Overview
The RSI VWAP POC indicator is a powerful and innovative oscillator that combines the Relative Strength Index (RSI), Volume-Weighted Average Price (VWAP), and Point of Control (POC) from market profile analysis. Designed to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels, spot overbought/oversold conditions, and time your entries and exits with precision. Whether you’re a day trader, swing trader, or scalper, this free tool adds significant value to your trading strategy by offering a unique blend of momentum, volume, and market profile insights.
How It Works
This indicator integrates three core components to deliver actionable insights:
RSI (Relative Strength Index): Measures momentum to identify overbought (above 70) and oversold (below 30) conditions, helping you anticipate potential reversals.
VWAP (Volume-Weighted Average Price): Calculates a volume-weighted price benchmark, which is used to compute a more accurate, volume-sensitive RSI. This ensures the indicator reflects true market dynamics.
POC (Point of Control): Derived from market profile analysis, the POC represents the price level with the highest traded volume in a session, acting as a critical support or resistance level.
The indicator plots a smoothed RSI based on VWAP, overlaid with market profile data on a user-defined higher timeframe (default: 4H). The POC is displayed as a red line, with aqua bars indicating the value area where the majority of trading volume occurred. When the RSI crosses the POC, the indicator generates clear buy and sell signals:
Strong Buy (SBU): RSI crosses above the POC in an oversold zone.
Strong Sell (SBD): RSI crosses below the POC in an overbought zone.
Additional features include:
Background colors to highlight bullish (green) or bearish (red) trends.
Shaded zones for overbought (70/60) and oversold (30/40) levels.
Customizable settings to fit your trading style and timeframe.
How This Indicator Adds Value
The RSI VWAP POC indicator offers several key benefits that enhance your trading performance:
High-Probability Signals: By combining RSI, VWAP, and POC, this indicator identifies trades at key market levels where price is likely to react, increasing your win rate.
Improved Timing: Clear buy and sell signals, such as ‘SBU’ and ‘SBD’, help you enter and exit trades at optimal points, maximizing profitability.
Risk Management: Overbought/oversold zones and trend confirmation via background colors help you avoid false signals, protecting your capital.
Versatility: Suitable for all markets (crypto, forex, stocks) and timeframes, making it a valuable tool for traders of all experience levels.
Time Efficiency: The indicator does the heavy lifting by analyzing momentum, volume, and market profile data, allowing you to focus on executing trades.
Real-World Performance Example: On a 1-hour Bitcoin chart with a 4-hour higher timeframe, this indicator identified a strong sell signal on April 6th at 12:00 ($82,000), leading to a 9% drop to $74,600. A subsequent strong buy signal on April 7th at 04:00 ($76,200) captured a 6% rise to $81,200 – a potential 25% profit with 5x leverage if exited at 5%.
How to Use
Add the Indicator: Search for “RSI VWAP POC ” in TradingView’s indicator library and add it to your chart.
Set Your Timeframe: The indicator works on any timeframe but is optimized for a 1-hour chart with a 4-hour higher timeframe (set in the settings).
Interpret Signals:
Look for ‘SBU’ (strong buy) labels when the RSI crosses above the POC in an oversold zone, indicating a potential buying opportunity.
Look for ‘SBD’ (strong sell) labels when the RSI crosses below the POC in an overbought zone, signaling a potential selling opportunity.
Use the background colors (green for bullish, red for bearish) to confirm the trend.
Combine with Your Strategy: Use the indicator alongside your existing analysis (e.g., support/resistance, candlestick patterns) for best results.
Settings and Customization
The indicator is highly customizable to suit your trading needs:
RSI Length (Default: 14): Adjust the sensitivity of the RSI. Use a shorter length (e.g., 10) for scalping, or a longer length (e.g., 20) for smoother signals.
EMA Smoothing Length (Default: 3): Smooths the RSI line. Increase to 5 or 7 for less choppy signals in volatile markets.
Higher Timeframe (Default: 240 minutes): Set to 240 (4 hours) for a 1-hour chart. Adjust based on your chart’s timeframe (e.g., 60 minutes for a 15-minute chart).
Value Area Percentage (Default: 100%): Defines the size of the value area around the POC. Lower to 70% for a tighter focus on key levels.
Overbought/Oversold Thresholds (Defaults: 70/30): Adjust these levels to match market conditions (e.g., 80/20 for trending markets).
Show POC Line (Default: True): Toggle the red POC line on or off.
Show Buy/Sell Signals: Enable ‘Show Strong Breakup Signals’ and ‘Show Strong Breakdown Signals’ to focus on high-probability trades.
Why Choose This Indicator?
The RSI VWAP POC indicator stands out by offering a unique combination of momentum, volume, and market profile analysis in a single, easy-to-use tool. It’s designed to help traders of all levels make informed decisions, reduce risk, and increase profitability. Whether you’re trading Bitcoin, forex pairs, or stocks, this indicator provides the clarity and precision you need to succeed.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
Dynamic Momentum Bands | AlphaAlgosDynamic Momentum Bands | AlphaAlgos
Overview
The Dynamic Momentum Bands indicator is an advanced technical analysis tool that combines multiple analytical techniques to provide a comprehensive view of market momentum and trend dynamics. By integrating RSI (Relative Strength Index), volatility analysis, and adaptive moving averages, this indicator offers traders a nuanced perspective on market conditions.
Key Features
Adaptive band calculation based on price momentum
Integrated RSI-driven volatility scaling
Multiple moving average type options (EMA, SMA, VWMA)
Smooth, gradient-based band visualization
Optional price bar coloring for trend identification
Technical Methodology
The indicator employs a sophisticated approach to market analysis:
1. Momentum Calculation
Calculates RSI using a customizable length
Uses RSI to dynamically adjust band volatility
Scales band width based on distance from the 50 RSI level
2. Band Construction
Applies a selected moving average type to the price source
Calculates deviation using ATR (Average True Range)
Smooths band edges for improved visual clarity
Configuration Options
Core Settings:
Price Source: Choose the price data used for calculations
RSI Length: Customize the RSI calculation period (1-50)
Band Length: Adjust the moving average period (5-100)
Volatility Multiplier: Fine-tune band width
Band Type: Select between EMA, SMA, and VWMA
Visual Settings:
Bar Coloring: Toggle color-coded price bars
Gradient-based band visualization
Smooth color transitions for trend representation
Trend Identification
The indicator provides trend insights through:
Color-coded bands (blue for bullish, pink for bearish)
Smooth gradient visualization
Optional price bar coloring
Trading Applications
Trend Following:
- Use band position relative to price as trend indicator
- Identify momentum shifts through color changes
- Utilize gradient zones for trend strength assessment
Volatility Analysis:
Observe band width changes
Detect potential breakout or consolidation periods
Use RSI-driven volatility scaling for market context
Best Practices
Adjust RSI length to match trading timeframe
Experiment with different moving average types
Use in conjunction with other technical indicators
Consider volatility multiplier for different market conditions
This indicator is provided for informational purposes only. Always use proper risk management when trading. Past performance is not indicative of future results. Not financial Advise
Standard Deviation SMA RSI | mad_tiger_slayerOverview of the Script
The Standard Deviation SMA RSI is a custom TradingView indicator that enhances the Relative Strength Index (RSI) by incorporating a Simple Moving Average (SMA) and Standard Deviation bands . This approach smooths RSI calculations while factoring in volatility to provide clearer trend signals . Additionally, the indicator includes overbought and oversold thresholds, trend-coded RSI signals , and dynamic volatility bands for improved market analysis. This indicator is designed for swing traders and long-term investors looking to capture high-probability trend shifts.
How Do Traders Use the Standard Deviation SMA RSI?
In the provided chart image, the indicator is displayed on a price chart. Each visual component serves a distinct function in identifying trend conditions and volatility levels .
INTENDED USES
⚠️ NOT INTENDED FOR SCALPING
With the smoothing nature of the SMA-based RSI , this indicator is not designed for low-timeframe scalping. It works best on timeframes above 1-hour , with optimal performance in 12-hour, daily, and higher timeframes.
📈 TREND-FOLLOWING & MEAN REVERSION
The Standard Deviation SMA RSI functions as both a trend-following and mean-reverting indicator:
Trend-Following: Identifies strong, sustained trends using RSI signals and SMA confirmation.
Mean Reversion: Detects overbought/oversold conditions based on standard deviation bands and RSI thresholds .
A VISUAL REPRESENTATION OF INTENDED USES
RSI Line (Green/Pink/Gray): The RSI line dynamically changes color based on trend conditions .
Green RSI → Strong uptrend, RSI above the uptrend threshold.
Pink RSI → Downtrend, RSI below the downtrend threshold.
Gray RSI → Neutral state or consolidation.
If the SMA of RSI is above Long Threshold , the market is in a bullish trend.
If it’s below Short Threshold, bearish conditions prevail.
Threshold Lines (Teal/Purple):
Green Line → Long Entry Threshold
Red Line → Short Entry Threshold
Standard Deviation Bands:
Upper Band → Measures bullish volatility expansion
Lower Band → Measures bearish volatility expansion
Colored Candles: Price candles adjust color based on RSI conditions , visually aligning price action with market trends.
Indicator's Primary Elements
Input Parameters
The script includes several configurable settings, allowing users to tailor the indicator to different market environments:
RSI Length: Controls the number of periods for RSI calculations.
SMA Length: Defines the period for the SMA applied to RSI , creating a smoothed trend line.
Standard Deviation Period: Determines the length for volatility calculations.
Overbought and Oversold Levels:
Can be adjusted to customize sensitivity.
Standard Deviation SMA RSI Calculation
The SMA-based RSI smooths fluctuations while the standard deviation bands measure price volatility.
Upper and Lower Bands: Calculated by adding/subtracting standard deviation to/from the SMA-based RSI.
Trend Signal Calculation:
RSI is compared to uptrend and downtrend thresholds to determine buy/sell conditions.
Long and Short Conditions
Buy and sell conditions are determined by RSI relative to key thresholds :
Bullish Signal: RSI above long threshold & SMA confirms trend .
Bearish Signal: RSI below short threshold & SMA confirms downtrend .
Reversals: RSI entering overbought/oversold areas suggests possible trend reversals.
Conclusion
The Standard Deviation SMA RSI is a powerful trend-following and mean-reverting tool , offering enhanced insights into RSI movements, volatility, and market strength . By combining SMA smoothing, standard deviation bands, and dynamic thresholds , traders can better identify trend confirmations, reversals, and overextended conditions .
✅ Customizable settings allow traders to optimize sensitivity.
✅ Works best on high timeframes (12H, Daily, Weekly).
✅ Ideal for swing traders and long-term investors.
Multi-Faceted Analysis ToolHere’s a detailed description for the **Multi-Faceted Analysis Tool** TradingView indicator:
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## Multi-Faceted Analysis Tool
### Overview
The **Multi-Faceted Analysis Tool** is a powerful TradingView indicator designed to enhance your technical analysis by combining several popular indicators: Simple Moving Average (SMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD). This indicator provides traders with insightful market signals that can be tailored to fit various trading strategies and timeframes.
### Key Features
1. **Simple Moving Average (SMA)**:
- Plots a customizable SMA on the price chart. The length of the SMA can be adjusted to suit your analysis needs (default is set to 50). The SMA helps identify the overall trend direction.
2. **Relative Strength Index (RSI)**:
- Calculates and plots RSI values, providing insights into potential overbought or oversold market conditions. The user can customize the length of the RSI calculation (default is 14).
- Overbought (70) and oversold (30) levels are visually marked, helping traders identify potential reversal points.
3. **MACD**:
- Computes MACD values with customizable parameters for fast length, slow length, and signal length (defaults are 12, 26, and 9 respectively).
- The MACD histogram is displayed, highlighting the difference between the MACD line and the signal line, which can help traders visualize momentum shifts.
4. **Buy and Sell Signals**:
- Generates clear buy and sell signals based on RSI crossover with established thresholds (buy when RSI crosses above 30, sell when RSI crosses below 70). These signals are visually represented on the chart for easy decision-making.
5. **User-Friendly Customization**:
- All parameters are adjustable, allowing traders to set their preferred values based on individual strategies or market conditions. This flexibility ensures that the tool can cater to a wide range of trading styles.
MLB Momentum IndicatorMLB Momentum Indicator is a no‐lookahead technical indicator designed to signal intraday trend shifts and potential reversal points. It combines several well‐known technical components—Moving Averages, MACD, RSI, and optional ADX & Volume filters—to deliver high‐probability buy/sell signals on your chart.
Below is an overview of how it works and what each part does:
1. Moving Average Trend Filter
The script uses two moving averages (fast and slow) to determine the primary trend:
isUpTrend if Fast MA > Slow MA
isDownTrend if Fast MA < Slow MA
You can select the MA method—SMA, EMA, or WMA—and customize lengths.
Why it matters: The indicator only gives bullish signals if the trend is up, and bearish signals if the trend is down, helping avoid trades that go against the bigger flow.
2. MACD Confirmation (Momentum)
Uses MACD (with user‐defined Fast, Slow, and Signal lengths) to check momentum:
macdBuySignal if the MACD line crosses above its signal line (bullish)
macdSellSignal if the MACD line crosses below its signal line (bearish)
Why it matters: MACD crossovers confirm an emerging momentum shift, aligning signals with actual price acceleration rather than random fluctuation.
3. RSI Overbought/Oversold Filter
RSI (Relative Strength Index) is calculated with a chosen length, plus Overbought & Oversold thresholds:
For long signals: the RSI must be below the Overbought threshold (e.g. 70).
For short signals: the RSI must be above the Oversold threshold (e.g. 30).
Why it matters: Prevents buying when price is already overbought or shorting when price is too oversold, filtering out possible poor‐risk trades.
4. Optional ADX Filter (Trend Strength)
If enabled, ADX must exceed a chosen threshold (e.g., 20) for a signal to be valid:
This ensures you’re only taking trades in markets that have sufficient directional momentum.
Why it matters: It weeds out choppy, sideways conditions where signals are unreliable.
5. Optional Volume Filter (High‐Participation Moves)
If enabled, the indicator checks whether current volume is above a certain multiple of its moving average (e.g., 1.5× average volume).
Why it matters: High volume often indicates stronger institutional interest, validating potential breakouts or reversals.
6. ATR & Chandelier (Visual Reference)
For reference only, the script can display ATR‐based stop levels or a Chandelier Exit line:
ATR (Average True Range) helps gauge volatility and can inform stop‐loss distances.
Chandelier Exit is a trailing stop technique that adjusts automatically as price moves.
Why it matters: Though this version of the script doesn’t execute trades, these lines help you see how far to place stops or how to ride a trend.
7. Final Bullish / Bearish Signal
When all conditions (trend, MACD, RSI, optional ADX, optional Volume) line up for a long, a green “Long” arrow appears.
When all conditions line up for a short, a red “Short” arrow appears.
Why it matters: You get a clear, on‐chart signal for each potential entry, rather than needing to check multiple indicators manually.
8. Session & Date Filtering
The script allows choosing a start/end date and an optional session window (e.g. 09:30–16:00).
Why it matters: Helps limit signals to a specific historical backtest range or trading hours, which can be crucial for day traders (e.g., stock market hours only).
Putting It All Together
Primary Trend → ensures you trade in line with the bigger direction.
MACD & RSI → confirm momentum and avoid overbought/oversold extremes.
ADX & Volume → optional filters for strong trend strength & genuine interest.
Arrows → each potential buy (Long) or sell (Short) signal is clearly shown on your chart.
Use Cases
5‐Minute Scalping: Shorter RSI/MACD lengths to catch small, frequent intraday moves.
Swing Trading: Larger MAs, bigger RSI thresholds, and using ADX to filter only major trends.
Cautious Approach: Enable volume & ADX filters to reduce false signals in choppy markets.
Benefits & Limitations
Benefits:
Consolidates multiple indicators into one overlay.
Clear buy/sell signals with optional dynamic volatility references.
Flexible user inputs adapt to different trading styles/timeframes.
Limitations:
Like all technical indicators, it can produce false signals in sideways or news‐driven markets.
Success depends heavily on user settings and the particular market’s behavior.
Summary
The MLB Momentum Indicator combines a trend filter (MAs), momentum check (MACD), overbought/oversold gating (RSI), and optional ADX/Volume filters to create clear buy/sell arrows on your chart. This approach encourages trading in sync with both trend and momentum, and helps avoid suboptimal entries when volume or trend strength is lacking. It can be tailored to scalp micro‐moves on lower timeframes or used for higher‐timeframe swing trading by adjusting the input settings.
RSI with Trend LinesThe RSI with Trend Lines indicator is a tool designed to analyze the behavior of the Relative Strength Index (RSI) combined with dynamic trend lines. This indicator not only provides the standard RSI reading but also identifies pivot points on the RSI and draws bullish and bearish trend lines based on these points. It also includes customizable options for adjusting trend lines, displaying the RSI moving average, and highlighting key levels such as overbought, oversold, and the center line.
This indicator is ideal for finding and identifying clear trends in the RSI and taking advantage of market breakout or consolidation signals. It also includes a table with the POC value, which represents the price level at which the most trading activity has occurred, indicating the highest liquidity and highest trading volume.
Key Features:
1. Basic RSI:
• Calculates the RSI using a configurable period length (default 14).
• Colors the RSI based on its direction (green for rising, red for falling) and its position relative to the center line (50).
2. Key Levels:
• Displays overbought (70 and 80), oversold (20 and 30), and the center line (50) levels for easy visual interpretation.
3. RSI Moving Average:
• Enables and configures an RSI moving average (SMA, EMA, WMA, or ALMA) to smooth out fluctuations and detect clearer trends.
4. Dynamic Trend Lines:
• Identifies pivot points on the RSI and draws bullish and bearish trend lines.
• Trend lines can be extended into the future or limited to the visible range.
• Includes options to display broken lines (trends that are no longer valid) and customize the style (solid or dashed).
5. Pivot Points:
• Displays the high and low pivot points on the chart for a better understanding of trend changes.
6. Advanced Customization:
• Adjust the pivot point period.
• Control the number of pivot points to consider for trend lines.
• Customize the line thickness and style.
How to Use the Indicator:
1. RSI Interpretation:
• Overbought Zone (RSI > 70): Indicates that the asset may be overvalued and could correct downward.
• Oversold Zone (RSI < 30): Suggests that the asset may be undervalued and could rebound.
• Centerline Crossover (50): A cross above 50 indicates bullish strength, while a cross below suggests weakness.
2. Trend Lines:
• Bullish Lines: Drawn when the RSI forms ascending low pivot points. These lines represent dynamic support.
• Bearish Lines: These are drawn when the RSI forms descending high pivot points. These lines represent dynamic resistance.
• Broken Lines: When a trend line becomes invalid (the RSI breaks the line), they are displayed in a dotted style to highlight the breakout.
3. Possible Trading Signals:
• Buy: When the RSI breaks an upward downtrend line.
• Sell: When the RSI breaks a downward uptrend line.
• Trend Confirmation: When the RSI stays within a valid trend line, it suggests that the current trend is strong.
4. A chart with the POC value:
• The point of control is a price level at which the highest trading volume occurs in a given time period. It is a key component of the Volume Profile indicator, which displays volume by price.
• Use of the POC in trading:
• The POC is used to identify areas of high interest and liquidity for trading.
• The POC provides information about the equilibrium point where buyers and sellers are most evenly matched.
• Therefore, it can be considered a zone of interest, meaning it can act as support or resistance.
Mogwai Method with RSI and EMA - BTCUSD 15mThis is a custom TradingView indicator designed for trading Bitcoin (BTCUSD) on a 15-minute timeframe. It’s based on the Mogwai Method—a mean-reversion strategy—enhanced with the Relative Strength Index (RSI) for momentum confirmation. The indicator generates buy and sell signals, visualized as green and red triangle arrows on the chart, to help identify potential entry and exit points in the volatile cryptocurrency market.
Components
Bollinger Bands (BB):
Purpose: Identifies overextended price movements, signaling potential reversions to the mean.
Parameters:
Length: 20 periods (standard for mean-reversion).
Multiplier: 2.2 (slightly wider than the default 2.0 to suit BTCUSD’s volatility).
Role:
Buy signal when price drops below the lower band (oversold).
Sell signal when price rises above the upper band (overbought).
Relative Strength Index (RSI):
Purpose: Confirms momentum to filter out false signals from Bollinger Bands.
Parameters:
Length: 14 periods (classic setting, effective for crypto).
Overbought Level: 70 (price may be overextended upward).
Oversold Level: 30 (price may be overextended downward).
Role:
Buy signal requires RSI < 30 (oversold).
Sell signal requires RSI > 70 (overbought).
Exponential Moving Averages (EMAs) (Plotted but not currently in signal logic):
Purpose: Provides trend context (included in the script for visualization, optional for signal filtering).
Parameters:
Fast EMA: 9 periods (short-term trend).
Slow EMA: 50 periods (longer-term trend).
Role: Can be re-added to filter signals (e.g., buy only when Fast EMA > Slow EMA).
Signals (Triangles):
Buy Signal: Green upward triangle below the bar when price is below the lower Bollinger Band and RSI is below 30.
Sell Signal: Red downward triangle above the bar when price is above the upper Bollinger Band and RSI is above 70.
How It Works
The indicator combines Bollinger Bands and RSI to spot mean-reversion opportunities:
Buy Condition: Price breaks below the lower Bollinger Band (indicating oversold conditions), and RSI confirms this with a reading below 30.
Sell Condition: Price breaks above the upper Bollinger Band (indicating overbought conditions), and RSI confirms this with a reading above 70.
The strategy assumes that extreme price movements in BTCUSD will often revert to the mean, especially in choppy or ranging markets.
Visual Elements
Green Upward Triangles: Appear below the candlestick to indicate a buy signal.
Red Downward Triangles: Appear above the candlestick to indicate a sell signal.
Bollinger Bands: Gray lines (upper, middle, lower) plotted for reference.
EMAs: Blue (Fast) and Orange (Slow) lines for trend visualization.
How to Use the Indicator
Setup
Open TradingView:
Log into TradingView and select a BTCUSD chart from a supported exchange (e.g., Binance, Coinbase, Bitfinex).
Set Timeframe:
Switch the chart to a 15-minute timeframe (15m).
Add the Indicator:
Open the Pine Editor (bottom panel in TradingView).
Copy and paste the script provided.
Click “Add to Chart” to apply it.
Verify Display:
You should see Bollinger Bands (gray), Fast EMA (blue), Slow EMA (orange), and buy/sell triangles when conditions are met.
Trading Guidelines
Buy Signal (Green Triangle Below Bar):
What It Means: Price is oversold, potentially ready to bounce back toward the Bollinger Band middle line.
Action:
Enter a long position (buy BTCUSD).
Set a take-profit near the middle Bollinger Band (bb_middle) or a resistance level.
Place a stop-loss 1-2% below the entry (or based on ATR, e.g., ta.atr(14) * 2).
Best Context: Works well in ranging markets; avoid during strong downtrends.
Sell Signal (Red Triangle Above Bar):
What It Means: Price is overbought, potentially ready to drop back toward the middle line.
Action:
Enter a short position (sell BTCUSD) or exit a long position.
Set a take-profit near the middle Bollinger Band or a support level.
Place a stop-loss 1-2% above the entry.
Best Context: Effective in ranging markets; avoid during strong uptrends.
Trend Filter (Optional):
To reduce false signals in trending markets, you can modify the script:
Add and ema_fast > ema_slow to the buy condition (only buy in uptrends).
Add and ema_fast < ema_slow to the sell condition (only sell in downtrends).
Check the Fast EMA (blue) vs. Slow EMA (orange) alignment visually.
Tips for BTCUSD on 15-Minute Charts
Volatility: BTCUSD can be erratic. If signals are too frequent, increase bb_mult (e.g., to 2.5) or adjust RSI levels (e.g., 75/25).
Confirmation: Use volume spikes or candlestick patterns (e.g., doji, engulfing) to confirm signals.
Time of Day: Mean-reversion works best during low-volume periods (e.g., Asian session in crypto).
Backtesting: Use TradingView’s Strategy Tester (convert to a strategy by adding entry/exit logic) to evaluate performance with historical BTCUSD data up to March 13, 2025.
Risk Management
Position Size: Risk no more than 1-2% of your account per trade.
Stop Losses: Always use stops to protect against BTCUSD’s sudden moves.
Avoid Overtrading: Wait for clear signals; don’t force trades in choppy or unclear conditions.
Example Scenario
Chart: BTCUSD, 15-minute timeframe.
Buy Signal: Price drops to $58,000, below the lower Bollinger Band, RSI at 28. A green triangle appears.
Action: Buy at $58,000, target $59,000 (middle BB), stop at $57,500.
Sell Signal: Price rises to $60,500, above the upper Bollinger Band, RSI at 72. A red triangle appears.
Action: Sell at $60,500, target $59,500 (middle BB), stop at $61,000.
This indicator is tailored for mean-reversion trading on BTCUSD. Let me know if you’d like to tweak it further (e.g., add filters, alerts, or alternative indicators)!
Broad Market MOEX### **Broad Market for Russia**
The **Broad Market for Russia** indicator provides a comparative analysis of the price deviation of major Russian stocks relative to their average closing price over a customizable lookback period. This tool helps traders identify market trends and detect relative strength or weakness among different assets.
### **How It Works:**
- The indicator calculates the **percentage deviation** of each stock’s current price from its **simple moving average (SMA)** over the defined **lookback period (in hours).**
- The **default lookback period is 24 hours**, but it can be adjusted based on the trader’s needs.
- It tracks major Russian assets, including **Gazprom, Sberbank, Lukoil, Rosneft, Norilsk Nickel, Yandex, and others**, alongside the currently selected instrument.
- Each stock’s deviation is plotted on a separate panel, allowing for quick visual comparison.
- **Positive deviation** indicates that the price is trading above its average, signaling potential **bullish momentum**.
- **Negative deviation** suggests the price is below its average, possibly indicating **bearish conditions**.
This indicator is particularly useful for traders in the Russian stock market who want to gauge broader market strength and detect divergence patterns across multiple assets.
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### **Broad Market for Russia**
Индикатор **Broad Market for Russia** предоставляет сравнительный анализ отклонения цены крупнейших российских акций относительно их среднего значения за настраиваемый период. Этот инструмент помогает трейдерам выявлять рыночные тренды и определять относительную силу или слабость активов.
### **Как это работает:**
- Индикатор рассчитывает **процентное отклонение** текущей цены каждой акции от её **простого скользящего среднего (SMA)** за заданный **период анализа (в часах).**
- **Период анализа по умолчанию — 24 часа**, но его можно изменять в зависимости от предпочтений трейдера.
- В индикаторе отслеживаются **крупнейшие российские активы**, такие как **Газпром, Сбербанк, Лукойл, Роснефть, Норникель, Яндекс и другие**, а также текущий выбранный инструмент.
- Отклонение каждой акции отображается на отдельной панели, что позволяет быстро проводить визуальное сравнение.
- **Положительное отклонение** означает, что цена торгуется выше своего среднего значения, что может сигнализировать о **бычьем тренде**.
- **Отрицательное отклонение** указывает, что цена ниже своего среднего значения, что может свидетельствовать о **медвежьей тенденции**.
Этот индикатор особенно полезен для трейдеров российского фондового рынка, которые хотят оценить силу всего рынка и выявлять расхождения между различными активами.
