RSI Divergence Strategy - AliferCryptoStrategy Overview
The RSI Divergence Strategy is designed to identify potential reversals by detecting regular bullish and bearish divergences between price action and the Relative Strength Index (RSI). It automatically enters positions when a divergence is confirmed and manages risk with configurable stop-loss and take-profit levels.
Key Features
Automatic Divergence Detection: Scans for RSI pivot lows/highs vs. price pivots using user-defined lookback windows and bar ranges.
Dual SL/TP Methods:
- Swing-based: Stops placed a configurable percentage beyond the most recent swing high/low.
- ATR-based: Stops placed at a multiple of Average True Range, with a separate risk/reward multiplier.
Long and Short Entries: Buys on bullish divergences; sells short on bearish divergences.
Fully Customizable: Input groups for RSI, divergence, swing, ATR, and general SL/TP settings.
Visual Plotting: Marks divergences on chart and plots stop-loss (red) and take-profit (green) lines for active trades.
Alerts: Built-in alert conditions for both bullish and bearish RSI divergences.
Detailed Logic
RSI Calculation: Computes RSI of chosen source over a specified period.
Pivot Detection:
- Identifies RSI pivot lows/highs by scanning a lookback window to the left and right.
- Uses ta.barssince to ensure pivots are separated by a minimum/maximum number of bars.
Divergence Confirmation:
- Bullish: Price makes a lower low while RSI makes a higher low.
- Bearish: Price makes a higher high while RSI makes a lower high.
Entry:
- Opens a Long position when bullish divergence is true.
- Opens a Short position when bearish divergence is true.
Stop-Loss & Take-Profit:
- Swing Method: Computes the recent swing high/low then adjusts by a percentage margin.
- ATR Method: Uses the current ATR × multiplier applied to the entry price.
- Take-Profit: Calculated as entry price ± (risk × R/R ratio).
Exit Orders: Uses strategy.exit to place bracket orders (stop + limit) for both long and short positions.
Inputs and Configuration
RSI Settings: Length & price source for the RSI.
Divergence Settings: Pivot lookback parameters and valid bar ranges.
SL/TP Settings: Choice between Swing or ATR method.
Swing Settings: Swing lookback length, margin (%), and risk/reward ratio.
ATR Settings: ATR length, stop multiplier, and risk/reward ratio.
Usage Notes
Adjust the Pivot Lookback and Range values to suit the volatility and timeframe of your market.
Use higher ATR multipliers for wider stops in choppy conditions, or tighten swing margins in trending markets.
Backtest different R/R ratios to find the balance between win rate and reward.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading carries significant risk and you may lose more than your initial investment. Always conduct your own research and consider consulting a professional before making any trading decisions.
Indicators and strategies
PRO SMC Full Suite BY Mashrur“PRO SMC Full Suite BY Mashrur”
A Pine Script (v5) indicator for TradingView, focused on Smart Money Concepts (SMC). It overlays on price charts and provides visual tools for identifying key institutional trading behaviors.
🎯 Purpose
This script is designed to help traders analyze and trade using SMC principles by automatically detecting:
Order Blocks (OBs)
Fair Value Gaps (FVGs)
Breaks of Structure (BoS)
Liquidity Sweeps (Buy/Sell Side Liquidity Grabs)
Mitigation Entries
⚙️ Inputs / Settings
Show Fair Value Gaps: Toggle FVGs on/off
Higher Timeframe (HTF): Choose HTF for OB analysis
Use HTF OBs: Switch between current TF OBs and HTF OBs
Show Order Blocks: Toggle OBs on/off
Show OB Mitigation Entries: Toggle mitigation entry signals on/off
🧠 Core Logic Overview
🔹 1. Swing Points Detection
Identifies swing highs/lows using a 3-bar pattern (pivot-based structure).
🔹 2. Break of Structure (BoS)
A bullish BoS happens when price closes above the last swing high.
A bearish BoS occurs when price closes below the last swing low.
🔹 3. Order Block Detection
Upon BoS, the script marks the previous candle as the Order Block.
Uses either:
Current TF OBs (based on price action)
HTF OBs (based on candle body direction)
🔹 4. Mitigation Entry Logic
A mitigation occurs when price returns to the OB and reacts with confirmation:
Bullish: price dips into OB and closes above
Bearish: price wicks into OB and closes below
Plots entry markers for these mitigations.
🔹 5. Liquidity Sweeps
Detects equal highs/lows (liquidity zones)
Marks Buy SL when price dips below an equal low then closes above
Marks Sell SL when price breaks above an equal high then closes below
🔹 6. Fair Value Gaps (FVGs)
FVG Up: Gap between candle 3 and candle 1 (low > high )
FVG Down: Gap between candle 3 and candle 1 (high < low )
Plots highlighted boxes on these gaps
📊 Visual Elements
Boxes: For OB zones and FVGs
Shapes:
Labels: OB Buy/Sell entries
Triangles: Buy SL / Sell SL liquidity sweeps
Lines: Equal Highs and Lows
🔔 Alerts
Built-in alerts to notify when:
OB entries are confirmed
Liquidity sweeps happen
Helps in automation or active monitoring
✅ Ideal For
Traders using SMC, ICT concepts, Wyckoff, or institutional trading models
Anyone wanting to automate detection of structural elements on their chart
Clenow MomentumClenow Momentum Method
The Clenow Momentum Method, developed by Andreas Clenow, is a systematic, quantitative trading strategy focused on capturing medium- to long-term price trends in financial markets. Popularized through Clenow’s book, Stocks on the Move: Beating the Market with Hedge Fund Momentum Strategies, the method leverages momentum—an empirically observed phenomenon where assets that have performed well in the recent past tend to continue performing well in the near future.
Theoretical Foundation
Momentum investing is grounded in behavioral finance and market inefficiencies. Investors often exhibit herding behavior, underreact to new information, or chase trends, causing prices to trend beyond fundamental values. Clenow’s method builds on academic research, such as Jegadeesh and Titman (1993), which demonstrated that stocks with high returns over 3–12 months outperform those with low returns over similar periods.
Clenow’s approach specifically uses **annualized momentum**, calculated as the rate of return over a lookback period (typically 90 days), annualized to reflect a yearly percentage. The formula is:
Momentum=(((Close N periods agoCurrent Close)^N252)−1)×100
- Current Close: The most recent closing price.
- Close N periods ago: The closing price N periods back (e.g., 90 days).
- N: Lookback period (commonly 90 days).
- 252: Approximate trading days in a year for annualization.
This metric ranks stocks by their momentum, prioritizing those with the strongest upward trends. Clenow’s method also incorporates risk management, diversification, and volatility adjustments to enhance robustness.
Methodology
The Clenow Momentum Method involves the following steps:
1. Universe Selection:
- A broad universe of liquid stocks is chosen, often from major indices (e.g., S&P 500, Nasdaq 100) or global exchanges.
- Filters should exclude illiquid stocks (e.g., low average daily volume) or those with extreme volatility.
2. Momentum Calculation:
- Stocks are ranked based on their annualized momentum over a lookback period (typically 90 days, though 60–120 days can be common tests).
- The top-ranked stocks (e.g., top 10–20%) are selected for the portfolio.
3. Volatility Adjustment (Optional):
- Clenow sometimes adjusts momentum scores by volatility (e.g., dividing by the standard deviation of returns) to favor stocks with smoother trends.
- This reduces exposure to erratic price movements.
4. Portfolio Construction:
- A diversified portfolio of 10–25 stocks is constructed, with equal or volatility-weighted allocations.
- Position sizes are often adjusted based on risk (e.g., 1% of capital per position).
5. Rebalancing:
- The portfolio is rebalanced periodically (e.g., weekly or monthly) to maintain exposure to high-momentum stocks.
- Stocks falling below a momentum threshold are replaced with higher-ranked candidates.
6. Risk Management:
- Stop-losses or trailing stops may be applied to limit downside risk.
- Diversification across sectors reduces concentration risk.
Implementation in TradingView
Key features include:
- Customizable Lookback: Users can adjust the lookback period in pinescript (e.g., 90 days) to align with Clenow’s methodology.
- Visual Cues: Background colors (green for positive, red for negative momentum) and a zero line help identify trend strength.
- Integration with Screeners: TradingView’s stock screener can filter high-momentum stocks, which can then be analyzed with the custom indicator.
Strengths
1. Simplicity: The method is straightforward, relying on a single metric (momentum) that’s easy to calculate and interpret.
2. Empirical Support: Backed by decades of academic research and real-world hedge fund performance.
3. Adaptability: Applicable to stocks, ETFs, or other asset classes, with flexible lookback periods.
4. Risk Management: Diversification and periodic rebalancing reduce idiosyncratic risk.
5. TradingView Integration: Pine Script implementation enables real-time visualization, enhancing decision-making for stocks like NVDA or SPY.
Limitations
1. Mean Reversion Risk: Momentum can reverse sharply in bear markets or during sector rotations, leading to drawdowns.
2. Transaction Costs: Frequent rebalancing increases trading costs, especially for retail traders with high commissions. This is not as prevalent with commission free trading becoming more available.
3. Overfitting Risk: Over-optimizing lookback periods or filters can reduce out-of-sample performance.
4. Market Conditions: Underperforms in low-momentum or highly volatile markets.
Practical Applications
The Clenow Momentum Method is ideal for:
Retail Traders: Use TradingView’s screener to identify high-momentum stocks, then apply the Pine Script indicator to confirm trends.
Portfolio Managers: Build diversified momentum portfolios, rebalancing monthly to capture trends.
Swing Traders: Combine with volume filters to target short-term breakouts in high-momentum stocks.
Cross-Platform Workflow: Integrate with Python scanners to rank stocks, then visualize on TradingView for trade execution.
Comparison to Other Strategies
Vs. Minervini’s VCP: Clenow’s method is purely quantitative, while Minervini’s Volatility Contraction Pattern (your April 11, 2025 query) combines momentum with chart patterns. Clenow is more systematic but less discretionary.
Vs. Mean Reversion: Momentum bets on trend continuation, unlike mean reversion strategies that target oversold conditions.
Vs. Value Investing: Momentum outperforms in bull markets but may lag value strategies in recovery phases.
Conclusion
The Clenow Momentum Method is a robust, evidence-based strategy that capitalizes on price trends while managing risk through diversification and rebalancing. Its simplicity and adaptability make it accessible to retail traders, especially when implemented on platforms like TradingView with custom Pine Script indicators. Traders must be mindful of transaction costs, mean reversion risks, and market conditions. By combining Clenow’s momentum with volume filters and alerts, you can optimize its application for swing or position trading.
RSI Candlestick Oscillator [LuxAlgo]The RSI Candlestick Oscillator displays a traditional Relative Strength Index (RSI) as candlesticks. This indicator references OHLC data to locate each candlestick point relative to the current RSI Value, leading to a more accurate representation of the Open, High, Low, and Close price of each candlestick in the context of RSI.
In addition to the candlestick display, Divergences are detected from the RSI candlestick highs and lows and can be displayed over price on the chart.
🔶 USAGE
Translating candlesticks into the RSI oscillator is not a new concept and has been attempted many times before. This indicator stands out because of the specific method used to determine the candlestick OHLC values. When compared to other RSI Candlestick indicators, you will find that this indicator clearly and definitively correlates better to the on-chart price action.
Traditionally, the RSI indicator is simply one running value based on (typically) the close price of the chart. By introducing high, low, and open values into the oscillator, we can better gauge the specific price action throughout the intrabar movements.
Interactions with the RSI levels can now take multiple forms, whether it be a full-bodied breakthrough or simply a wick test. Both can provide a new analysis of price action alongside RSI.
An example of wick interactions and full-bodied interactions can be seen below.
As a result of the candlestick display, divergences become simpler to spot. Since the candlesticks on the RSI closely resemble the candlesticks on the chart, when looking for divergence between the chart and RSI, it is more obvious when the RSI and price are diverging.
The divergences in this indicator not only show on the RSI oscillator, but also overlay on the price chart for clearer understanding.
🔹 Filtering Divergence
With the candlesticks generating high and low RSI values, we can better sense divergences from price, since these points are generally going to be more dramatic than the (close) RSI value.
This indicator displays each type of divergence:
Bullish Divergence
Bearish Divergence
Hidden Bullish Divergence
Hidden Bearish Divergence
From these, we get many less-than-useful indications, since every single divergence from price is not necessarily of great importance.
The Divergence Filter disregards any divergence detected that does not extend outside the RSI upper or lower values.
This does not replace good judgment, but this filter can be helpful in focusing attention towards the extremes of RSI for potential reversal spotting from divergence.
🔶 DETAILS
In order to get the desired results for a display that resembles price action while following RSI, we must scale. The scaling is the most important part of this indicator.
To summarize the process:
Identify a range on Price and RSI
Consider them as equal to create a scaling factor
Use the scaling factor to locate RSI's "Price equivalent" Upper, Lower, & Mid on the Chart
Use those prices (specifically the RSI Mid) to check how far each OHLC value lies from it
Use those differences to translate the price back to the RSI Oscillator, pinning the OHLC values at their relative location to our anchor (RSI Mid)
🔹 RSI Channel
To better understand, and for your convenience, the indicator includes the option to display the RSI Channel on the chart. This channel helps to visualize where the scaled RSI values are relative to price.
If you analyze the RSI channel, you are likely to notice that the price movement throughout the channel matches the same movement witnessed in the RSI Oscillator below. This makes sense since they are the exact same thing displayed on different scales.
🔹 Scaling the Open
While the scaling method used is important, and provides a very close view of the real price bar's relative locations on the RSI oscillator… It is designed for a single purpose.
The scaling does NOT make the price candles display perfectly on the RSI oscillator.
The largest place where this is noticeable is with the opening of each candle.
For this reason, we have included a setting that modifies the opening of each RSI candle to be more accurate to the chart's price candles.
This setting positions the current bar's opening RSI candlestick value accurately relative to the price's open location to the previous closing price. As seen below.
🔶 SETTINGS
🔹 RSI Candles
RSI Length: Sets the Length for the RSI Oscillator.
Overbought/Oversold Levels: Sets the Overbought and Oversold levels for the RSI Oscillator.
Scale Open for Chart Accuracy: As described above, scales the open of each candlestick bar to more accurately portray the chart candlesticks.
🔹 Divergence
Show on Chart: Choose to display divergence line on the chart as well as on the Oscillator.
Divergence Length: Sets the pivot width for divergence detection. Normal Fractal Pivot Detection is used.
Divergence Style: Change color and line style for Regular and Hidden divergences, as well as toggle their display.
Divergence Filter: As described above, toggle on or off divergence filtering.
🔹 RSI Channel
Toggle: Display RSI Channel on Chart.
Color: Change RSI Channel Color
EMA Pullback & Trend Indicator MyraxesEMA Pullback & Trend Indicator by Max Retri
Plots five EMAs—9, 15, 30, 65 and 200—and draws clean, easy-to-interpret signals when the fast EMAs cross in the direction of the longer-term trend. No other indicators or overlays are required; simply add it to your chart and watch for the arrows and crosses.
⸻
What It Does & How It Works
1. EMAs & Colors
• Red (EMA 9) – Fast signal line
• Blue (EMA 15) – Confirmation line
• Orange (EMA 30) – Pullback zone 1
• Purple (EMA 65) – Pullback zone 2 & mid-term trend
• White (EMA 200) – Long-term trend
2. Trend Filter
• Bullish regime when price is above both EMA 65 and EMA 200.
• Bearish regime when price is below both EMA 65 and EMA 200.
3. Pullback Requirement
• Only consider a signal if price has retraced into the EMA 30 or EMA 65 zone.
4. Signal Logic
Long Entry ▲: EMA 9 (red) crosses above EMA 15 (blue) while in a bullish regime and after a pullback into EMA 30/65.
Short Entry ▼: EMA 9 crosses below EMA 15 while in a bearish regime and after a retracement up to EMA 30/65.
Exit ✖: Opposite EMA 9/15 crossover marks the close of the position.
⸻
How to Use
1. Add the indicator to any chart/timeframe.
2. Identify trend: make sure price is aligned above or below the 65 and 200 EMAs.
3. Watch for pullbacks into the orange or purple EMAs.
4. Enter on the black ▲ or ▼ arrow.
5. Exit when you see the gray ✖ cross.
Because it’s a pure‐EMA indicator (no heavy calculations), it runs quickly even on lower-end machines.
Linear Regression with StdDev BandsLinear Regression with Standard Deviation Bands Indicator
This indicator plots a linear regression line along with upper and lower bands based on standard deviation. It helps identify potential overbought and oversold conditions, as well as trend direction and strength.
Key Components:
Linear Regression Line: Represents the average price over a specified period.
Upper and Lower Bands: Calculated by adding and subtracting the standard deviation (multiplied by a user-defined factor) from the linear regression line. These bands act as dynamic support and resistance levels.
How to Use:
Trend Identification: The direction of the linear regression line indicates the prevailing trend.
Overbought/Oversold Signals: Prices approaching or crossing the upper band may suggest overbought conditions, while prices near the lower band may indicate oversold conditions.
Dynamic Support/Resistance: The bands can act as potential support and resistance levels.
Alerts: Option to enable alerts when the price crosses above the upper band or below the lower band.
Customization:
Regression Length: Adjust the period over which the linear regression is calculated.
StdDev Multiplier: Modify the width of the bands by changing the standard deviation multiplier.
Price Source: Choose which price data to use for calculations (e.g., close, open, high, low).
Alerts: Enable or disable alerts for band crossings.
This indicator is a versatile tool for understanding price trends and potential reversal points.
Easy MA SignalsEasy MA Signals
Overview
Easy MA Signals is a versatile Pine Script indicator designed to help traders visualize moving average (MA) trends, generate buy/sell signals based on crossovers or custom price levels, and enhance chart analysis with volume-based candlestick coloring. Built with flexibility in mind, it supports multiple MA types, crossover options, and customizable signal appearances, making it suitable for traders of all levels. Whether you're a day trader, swing trader, or long-term investor, this indicator provides actionable insights while keeping your charts clean and intuitive.
Configure the Settings
The indicator is divided into three input groups for ease of use:
General Settings:
Candlestick Color Scheme: Choose from 10 volume-based color schemes (e.g., Sapphire Pulse, Emerald Spark) to highlight high/low volume candles. Select “None” for TradingView’s default colors.
Moving Average Length: Set the MA period (default: 20). Adjust for faster (lower values) or slower (higher values) signals.
Moving Average Type: Choose between SMA, EMA, or WMA (default: EMA).
Show Buy/Sell Signals: Enable/disable signal plotting (default: enabled).
Moving Average Crossover: Select a crossover type (e.g., MA vs VWAP, MA vs SMA50) for signals or “None” to disable.
Volume Influence: Adjust how volume impacts candlestick colors (default: 1.2). Higher values make thresholds stricter.
Signal Appearance Settings:
Buy/Sell Signal Shape: Choose shapes like triangles, arrows, or labels for signals.
Buy/Sell Signal Position: Place signals above or below bars.
Buy/Sell Signal Color: Customize colors for better visibility (default: green for buy, red for sell).
Custom Price Alerts:
Custom Buy/Sell Alert Price: Set specific price levels for alerts (default: 0, disabled). Enter a non-zero value to enable.
Set Up Alerts
To receive notifications (e.g., sound, popup, email) when signals or custom price levels are hit:
Click the Alert button (alarm clock icon) in TradingView.
Select Easy MA Signals as the condition and choose one of the four alert types:
MA Crossover Buy Alert: Triggers on MA crossover buy signals.
MA Crossover Sell Alert: Triggers on MA crossover sell signals.
Custom Buy Alert: Triggers when price crosses above the custom buy price.
Custom Sell Alert: Triggers when price crosses below the custom sell price.
Enable Play Sound and select a sound (e.g., “Bell”).
Set the frequency (e.g., Once Per Bar Close for confirmed signals) and create the alert.
Analyze the Chart
Moving Average Line: Displays the selected MA with color changes (green for bullish, red for bearish, gray for neutral) based on price position relative to the MA.
Buy/Sell Signals: Appear as shapes or labels when crossovers or custom price levels are hit.
Candlestick Colors: If a color scheme is selected, candles change color based on volume strength (high, low, or neutral), aiding in trend confirmation.
Why Use Easy MA Signals?
Easy MA Signals is designed to simplify technical analysis while offering advanced customization. It’s ideal for traders who want:
A clear visualization of MA trends and crossovers.
Flexible signal generation based on MA crossovers or custom price levels.
Volume-enhanced candlestick coloring to identify market strength.
Easy-to-use settings with tooltips for beginners and pros alike.
This script is particularly valuable because it combines multiple features into one indicator, reducing chart clutter and providing actionable insights without overwhelming the user.
Benefits of Easy MA Signals
Highly Customizable: Supports SMA, EMA, and WMA with adjustable lengths.
Offers multiple crossover options (VWAP, SMA10, SMA20, etc.) for tailored strategies.
Custom price alerts allow precise targeting of key levels.
Volume-Based Candlestick Coloring: 10 unique color schemes highlight volume strength, helping traders confirm trends.
Adjustable volume influence ensures adaptability to different markets.
Flexible Signal Visualization: Choose from various signal shapes (triangles, arrows, labels) and positions (above/below bars).
Customizable colors improve visibility on any chart background.
Alert Integration: Built-in alert conditions for crossovers and custom prices support sound, email, and app notifications.
Easy setup for real-time trading decisions.
User-Friendly Design: Organized input groups with clear tooltips make configuration intuitive.
Suitable for beginners and advanced traders alike.
Example Use Cases
Swing Trading with MA Crossovers:
Scenario: A trader wants to trade Bitcoin (BTC/USD) on a 4-hour chart using an EMA crossover strategy.
Setup:
Set Moving Average Type to EMA, Length to 20.
Set Moving Average Crossover to “MA vs SMA50”.
Enable Show Buy/Sell Signals and choose “arrowup” for buy, “arrowdown” for sell.
Select “Emerald Spark” for candlestick colors to highlight volume surges.
Usage: Buy when the EMA20 crosses above the SMA50 (green arrow appears) and volume is high (dark green candles). Sell when the EMA20 crosses below the SMA50 (red arrow). Set alerts for real-time notifications.
Scalping with Custom Price Alerts:
Scenario: A day trader monitors Tesla (TSLA) on a 5-minute chart and wants alerts at specific support/resistance levels.
Setup:
Set Custom Buy Alert Price to 150.00 (support) and Custom Sell Alert Price to 160.00 (resistance).
Use “labelup” for buy signals and “labeldown” for sell signals.
Keep Moving Average Crossover as “None” to focus on price alerts.
Usage: Receive a sound alert and label when TSLA crosses 150.00 (buy) or 160.00 (sell). Use volume-colored candles to confirm momentum before entering trades.
When NOT to Use Easy MA Signals
High-Frequency Trading: Reason: The indicator relies on moving averages and volume, which may lag in ultra-fast markets (e.g., sub-second trades). High-frequency traders may need specialized tools with real-time tick data.
Alternative: Use order book or market depth indicators for faster execution.
Low-Volatility or Sideways Markets:
Reason: MA crossovers and custom price alerts can generate false signals in choppy, range-bound markets, leading to whipsaws.
Alternative: Use oscillators like RSI or Bollinger Bands to trade within ranges.
This indicator is tailored more towards less experienced traders. And as always, paper trade until you are comfortable with how this works if you're unfamiliar with trading! We hope you enjoy this and have great success. Thanks for your interested in Easy MA Signals!
Planting & Harvesting SeasonsHello all,
as a commodity trader, I use a lot of seasonal patterns in my analysis. Some time ago, I came up with the idea to develop a simple script that visually overlays the typical planting and harvesting periods for key agricultural futures directly on the chart.
This script automatically detects the underlying commodity based on the symbol (e.g. ZC, ZW, ZS, CT) and displays color-coded zones for each seasonal window. These zones are based on historical crop calendars and help identify when planting or harvesting typically takes place. The goal is to better align technical setups with fundamental seasonal factors.
This is a basic version and meant as a visual aid — not a trading signal in itself.
Hope you enjoy it and any feedback is highly appreciated!
SAR Pullback By TradingConTotoName & Version
SAR Pullback UX Improved (Pine Script v5)
Core Logic
Calculates two EMAs (fast and slow) to identify overall trend direction.
Uses the Parabolic SAR to detect “flip” points (when SAR crosses price), marking micro-trend reversals.
Micro-Trend Extremes
Tracks the highest high after a bullish flip (SAR below price) and the lowest low after a bearish flip (SAR above price).
These extremes feed into the stop-loss approximation.
Approximate Stop-Loss (“SL aprox”)
If SAR is below price (bullish), SL ≔ (micro-trend high − current SAR).
If SAR is above price (bearish), SL ≔ (current SAR − micro-trend low).
Leverage Calculation
User-defined “UR in USD” input.
Computes leverage as UR ÷ SL, giving you an estimate of position sizing potential.
On-Chart Signals
BUY label at each bullish flip, with SL and leverage printed.
SELL label at each bearish flip, likewise showing SL and leverage.
Customizable UI
Inputs to toggle display of SL, leverage, or both.
Choose your UR value, panel background/text colors, and BUY/SELL label colors.
Panel position fixed at top-right by default, showing a 2×3 table:
Header row (“Metric” / “Value”)
“SL aprox” row
“Leverage” row
Visuals
Plots the slow EMA colored by trend.
Draws SAR as crosses.
Bar colors shade green/red according to bullish/bearish conditions.
Semi-transparent, styled panel for quick glance of key metrics.
This indicator combines trend filtering, automated stop-loss sizing, and leverage guidance into a single, fully-configurable Pine Script tool—giving you clear on-chart signals plus a neat metrics panel for streamlined decision-making.
M2 Global Liquidity Index [Extended + Offset]M2 Global Liquidity Index
This indicator visualizes global M2 money supply, weighted in USD, based on major economic regions.
Features:
Standard Mode: Includes M2 data from the USA, China, Eurozone, Japan, and the UK.
Extended Mode: Adds Switzerland, Canada, India, Russia, Brazil, South Korea, Mexico, and South Africa.
Offset Function: Adjustable time lag (78 or 108 days) to analyze the delayed impact of liquidity on financial markets.
Use Case:
Designed to help identify global liquidity cycles and assess potential turning points in financial markets. Rising global liquidity generally supports risk assets like equities and crypto, while declining liquidity can put downward pressure on these markets.
Technical Details:
Non-USD M2 values are converted using real-time FX rates.
All values are displayed in trillions of USD (Tn).
Note:
Not all countries release M2 data in real-time or at the same frequency. Minor delays and discrepancies may occur.
Example:
Dynamic Trend Bands [ChartPrime]The Dynamic Trend Bands is a versatile trend-following indicator that uses a double-smoothed Hull Moving Average (HMA) to detect market trends, combined with dynamic bands that provide insight into potential momentum shifts and volatility-based price zones.
⯁ KEY FEATURES
Double HMA Trend Filter
Utilizes a double-smoothed HMA for a smoother and more responsive trend line, reducing noise while highlighting clear market trends.
float base = ta.hma(ta.hma(close, length - 10), length)
Dynamic Volatility Bands
Plots upper and lower bands based on volatility, positioned above the price in a downtrend and below the price in an uptrend.
Momentum Shift Detection
Highlights bars in orange when a potential momentum shift occurs:
- During a downtrend, if the high breaks above the upper band.
- During an uptrend, if the low breaks below the lower band.
Customizable Band Appearance
Users can adjust the size, distance, and colors of the bands, as well as choose whether to display the mid-band line and fill the area between bands.
Timeframe Flexibility
Allows selection of different calculation timeframes, enabling traders to adapt the indicator to various trading strategies.
⯁ HOW TO USE
Identify Trend Direction
Use the double HMA line to confirm the prevailing trend:
- Above the bands: downtrend.
- Below the bands: uptrend.
Spot Potential Momentum Shifts
Watch for orange-highlighted bars signaling potential reversals or weakening trends.
Optimize Entries and Exits
Enter trades on trend continuation signals while using band breaks to spot potential reversal zones.
Customize to Fit Your Strategy
Adjust the bands’ size, distance, and calculation timeframe to suit scalping, swing, or position trading.
⯁ CONCLUSION
The Dynamic Trend Bands is an all-in-one tool that helps traders assess trend strength, detect momentum shifts, and identify key price zones. Its customizable features make it adaptable for various trading styles and market conditions.
LAOS Gold Price in LAK By LSENMany people in Laos are confused about the actual price of Gold in local currency.
This script provides a simple and live updating way to convert the international gold price (XAU/USD) into Lao Kip Currency in BAHT-weight gold (15.244g).
By default, it uses an exchnage rte of 21,000 KIP = 1 USD, But you can easily customize the rate to fit your needs.
-See things as they truly are. Suffering arises when you try to resist reality. Don't let greed and FOMO fuel the fire.
ຂໍໃຫ້ທຸກທ່ານໂຊກດີ
Highest/Lowest Range in TimeframeThis script helps traders visually identify the highest high and lowest low within a customizable range of recent bars.
🔍 Key Features
Scans the last 100 to 1000 bars (user-defined)
Automatically detects:
The highest wick (high) and lowest wick (low)
Draws dotted green horizontal lines at both levels
Shows a label indicating the percentage range between high and low
Displays real-time high and low price labels directly on the chart
⚙️ Use Cases
Quickly spot price extremes over your desired time window
Visually measure market range and volatility
Identify breakout potential or reversal zones
✅ How to Use
Add the script to your chart.
Set the “Bars to Scan” input to your desired lookback period (between 100–1000).
Use the displayed lines and labels to identify key high/low price levels and range metrics.
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
HTF 6H Visualiser for 30M - ADK - W
HTF 6H Visualiser — use on 30-minute charts
Purpose – lets 30-minute traders see the prior 6-hour candle’s range, open and close without changing time-frames.
Visual elements
Two dotted vertical lines mark the 6-hour candle’s start and an “early” finish one 30-min bar before the true close (avoids overlap).
Vertical colour: green for bullish 6 H close, red for bearish.
Dotted green horizontal at the 6 H open, red horizontal at the 6 H close – both drawn only between the two verticals.
Verticals are clipped to that candle’s exact high and low.
Data window – auto-deletes oldest guides so only ~2 trading days (8 candles) remain on the chart.
Typical uses – mean-reversion to 6 H opens/closes, quick HTF bias check, liquidity-grab targets.
Market Open & Pre-Open Linesversion 1.0 2025-04-23
Stated vertical line for market open and pre-market open. Market option include US, EU, UK, JP and AU. This line do auto-defined during daylight saving time. This help for those trade during market open and benefit for those doing backtest on it.
