Volume USDTName:
USDT Volume Bars (Directional Colors)
Description:
This indicator visualizes trading volume in USDT by multiplying the candle's volume by the average of its open and close prices. The result reflects a more realistic estimation of the traded value per candle.
🟩 Green bars: Bullish or neutral candles (close ≥ open)
🟥 Red bars: Bearish candles (close < open)
Useful for spotting high-value inflows and outflows based on actual price-weighted volume.
Indicators and strategies
Multi Scanner Plot & Table V1Here's how to interpret each column in the table:
Price vs MAs:
What it shows: Where the current price is relative to the short-term (e.g., 20-period) and long-term (e.g., 50-period) Simple Moving Averages (SMAs) calculated on your current chart's timeframe.
Interpretation:
Above Both (Green background): Price is above both the short and long MAs. Generally considered a bullish sign for the current trend.
Below Both (Red background): Price is below both MAs. Generally considered a bearish sign.
Mixed (Gray background): Price is between the two MAs (e.g., above the short but below the long, or vice-versa). Indicates indecision or a potential trend change.
RSI Value:
What it shows: The actual numerical value of the Relative Strength Index (RSI) calculated on your current chart's timeframe.
Interpretation: Just the raw RSI number (e.g., 65.32). The background is always gray. You compare this value to standard overbought/oversold levels (like 70/30) or the levels defined in the script's inputs.
RSI Status:
What it shows: Interprets the RSI Value based on the Overbought/Oversold levels set in the script's inputs (default 70/30). Calculated on your current chart's timeframe.
Interpretation:
Overbought (Red background): RSI is above the overbought level (e.g., > 70). Suggests the asset might be due for a pullback or reversal downwards. Red indicates a potentially bearish condition.
Oversold (Green background): RSI is below the oversold level (e.g., < 30). Suggests the asset might be due for a bounce or reversal upwards. Green indicates a potentially bullish condition.
Neutral (Gray background): RSI is between the oversold and overbought levels.
Last Sig Price:
What it shows: The price level where the last "SIG NOW" Buy or Sell signal occurred on your current chart's timeframe.
Interpretation: Helps you see the entry price of the most recent short-term signal generated by this script. The background color matches the signal type: Green for the last Buy signal, Red for the last Sell signal. N/A if no signal has occurred yet.
SIG NOW:
What it shows: This is the main short-term signal generated by the script based on conditions on your current chart's timeframe. It combines the "Price vs MAs" status and specific RSI conditions (price must be above/below both MAs and RSI must be within a certain range defined in the inputs).
Interpretation:
BUY (Green background): The specific buy conditions are met right now. (Price above both MAs AND RSI is strong but not necessarily overbought).
SELL (Red background): The specific sell conditions are met right now. (Price below both MAs AND RSI is weak but not necessarily oversold).
NEUTRAL (Gray background): Neither the Buy nor the Sell conditions are currently met.
ALERT:
What it shows: Flags unusual volume activity on the current bar compared to the recent average volume (calculated on your current chart's timeframe).
Interpretation:
SPIKE (Yellow background, black text): Current volume is significantly higher than the recent average (defined by the Volume Spike Multiplier). Can indicate strong interest or a potential climax.
DUMP (Purple background): Current volume is significantly lower than the recent average (defined by the Volume Dump Multiplier). Can indicate fading interest.
NONE (Gray background): Volume is within the normal range for the lookback period.
SD$:
What it shows: The price level where the last Volume Spike or Dump occurred on your current chart's timeframe.
Interpretation: Shows the price associated with the most recent significant volume event. The background color indicates the type of the last event: Green if the last event was a Spike, Red if the last event was a Dump. N/A if no Spike/Dump has occurred yet.
BB Value (%B):
What it shows: This relates to Bollinger Bands, but specifically calculated on a Higher Timeframe (HTF) that you can set in the inputs (e.g., Daily BBs while viewing an Hourly chart). It shows the Bollinger Band Percent B (%B) value for that HTF. %B measures where the HTF closing price is relative to the HTF upper and lower bands.
Interpretation:
Value > 1: HTF price closed above the HTF upper Bollinger Band.
Value < 0: HTF price closed below the HTF lower Bollinger Band.
Value between 0 and 1: HTF price closed within the HTF Bollinger Bands (e.g., 0.5 is exactly on the middle band).
The background is always gray.
LTS (Long Term Signal):
What it shows: A signal derived only from the Higher Timeframe (HTF) Bollinger Bands.
Interpretation:
BUY (Green background): The HTF price closed above the HTF upper Bollinger Band (see BB Value > 1). Considered a strong bullish signal from the higher timeframe perspective.
SELL (Red background): The HTF price closed below the HTF lower Bollinger Band (see BB Value < 0). Considered a strong bearish signal from the higher timeframe perspective.
NEUTRAL (Gray background): The HTF price closed within the HTF Bollinger Bands.
How to Understand Bollinger Bands and Signals in this Context:
Bollinger Bands are primarily used for the Long Term Signal (LTS) column. This script calculates BBs on a higher timeframe (you choose which one, or it defaults to the chart's timeframe if left blank).
The "LTS" signal triggers:
A BUY when the price on that higher timeframe closes above its upper Bollinger Band. This often indicates strong momentum or a potential breakout.
A SELL when the price on that higher timeframe closes below its lower Bollinger Band. This often indicates strong negative momentum or a potential breakdown.
The "BB Value" column gives you the raw %B number from that same higher timeframe, showing you exactly where the price is relative to the bands (is it just barely above/below, or way outside?).
The script does not directly use Bollinger Bands from the current chart timeframe for the "SIG NOW" or other table signals. The main short-term signals ("SIG NOW") rely on Moving Averages and RSI on the current timeframe. The LTS provides a longer-term perspective using HTF Bollinger Bands.
In summary: Look at the table to quickly gauge:
Short-term trend (Price vs MAs).
Short-term momentum (RSI Status, SIG NOW).
Recent short-term entry points (Last Sig Price).
Current volume anomalies (ALERT).
Long-term strength/weakness based on HTF Bollinger Bands (LTS, BB Value).
Combine these pieces of information to get a more rounded view of the current market conditions according to this specific script's logic.
Jinsu RSI 14### 🔍 **Jinsu RSI 14 – EMA 9 & WMA 45**
**Description:**
This custom indicator combines the classic RSI (Relative Strength Index) with two moving averages — EMA (Exponential Moving Average) and WMA (Weighted Moving Average) — applied directly to the RSI value to provide more nuanced momentum signals.
### 📊 **How It Works**
- **RSI 14** measures market momentum and identifies overbought (above 70) or oversold (below 30) conditions.
- **EMA 9 on RSI** responds quickly to short-term changes, signaling momentum shifts.
- **WMA 45 on RSI** captures long-term sentiment, while placing more emphasis on recent data.
### 🧠 **Signal Interpretation**
- **RSI crosses above EMA 9** → Possible bullish momentum shift.
- **RSI falls below EMA 9** → Possible bearish momentum shift.
- **EMA 9 crosses above WMA 45** → Strong bullish momentum.
- **EMA 9 falls below WMA 45** → Strong bearish momentum.
- **RSI is between EMA 9 & WMA 45** → Market may be consolidating or oscillating.
### 🎨 **Visual Enhancement**
- The neutral zone (RSI between 30–70) is lightly shaded purple to reduce visual noise.
- When **RSI > 70**, a green color appears and intensifies with higher RSI values, highlighting strong buying pressure.
- All values are displayed with two decimal precision for clarity.
This tool is ideal for trend-following traders and momentum-based strategies, helping you recognize early shifts in market sentiment with visual cues and cross confirmations.
Price Map Profile [BigBeluga]An advanced volume-based tool designed to map out how trading activity is distributed across price levels. It combines dynamic volume profiling with structural pivot detection to highlight key levels of interest in the market — including hidden support/resistance zones and dominant liquidity areas.
Unlike traditional volume profiles locked to fixed sessions, this indicator continuously processes historical bars to build a real-time "map" of volume distribution. It intelligently reveals where buyers and sellers were most active, helping traders pinpoint high-impact zones with clarity.
🔵 KEY FEATURES
Creates a volume map profile by scanning price action over a defined lookback window (`length`).
Divides price vertically into volume bins (default: 100) and aggregates either total volume or bar count per bin.
Bins are plotted as horizontal zones extending to the right of the chart — wider offset means more volume at that price.
Each zone is color-coded using gradients to represent volume magnitude:
- Below average volume = cool tones (blue/teal)
- Above average volume = warm tones (red/orange)
The highest volume bin is highlighted with a red label showing the exact volume, helping to identify strong price agreement.
Detects pivot highs and lows using a 15-bar swing method, marking them as potential S/R levels.
If a pivot level is located inside a low-volume zone (volume < average), it is emphasized with a dashed line and label .
Pivot line color matches direction:
- High pivots = yellow
- Low pivots = aqua
The volume of the bin containing the pivot is shown alongside the pivot, providing volume context for the structural level.
Filters out nearby duplicate pivots using ATR-based distance checks to ensure clean and non-redundant signals.
🔵 HOW TO USE
Use the wide red zones as liquidity and consolidation areas where price may stall, reverse, or absorb volume.
Pivot-based dashed lines within low-volume zones highlight hidden support/resistance levels where price may react sharply.
Combine this indicator with trend or order flow tools to validate reversal or breakout setups .
Switch between Volume and Frequency modes to adapt to the type of data your asset provides.
🔵 CONCLUSION
The Price Map Profile transforms raw volume into an actionable visual map. By aligning volume depth with key market structure levels, it helps traders identify where market participants are most active — and where hidden inefficiencies lie. Ideal for traders seeking precision entries, dynamic S/R zones, and deeper volume structure insight.
[Stop!Loss] ADR Signal ADR Signal - a technical indicator located in a separate window, which displays by default the 80%-level , as well as the 100%-level of the average daily range (ADR) for the last 10 days and compares it with the current intraday range. The indicator helps not only with the use of a mathematical-statistical method to identify a potential reversal at the moment during intraday trading, but can also serves as an effective assistant in risk management.
👉 Basic mechanics of the indicator
Firstly, this indicator tracks the performance of the standard ATR indicator on the daily chart, in other words, ADR (Average Daily Range).
Important ❗️The ATR (Average True Range) indicator was created by J. Welles Wilder Jr. He first introduced ATR in his book "New Concepts in Technical Trading Systems", published in 1978. Wilder developed this indicator to measure market volatility to help traders estimate the range of price movements. This indicator is built into TradingView, more details can be found by link: www.tradingview.com
Like ATR , ADR calculates the average true range for a specified period. In this case, the distance in points from the maximum of each day to its minimum is calculated, after which the arithmetic mean is calculated - this is ADR .
👉 Visualization
ADR Signal is located in a separate window on the chart and has 3 levels:
1) "ADR level" (green line) - the same parameter, the calculations of which are briefly described above. There is 100%-level of ATR on the daily chart (ADR).
2) "Current level" (red line) - this is the current price passage within the day, calculated in points. At the start of a new day, this parameter is reset. Therefore, in the indicator window, this line has sharp drops at the start of a new trading day: "A new trading day - the instrument's power reserve is renewed again".
3) "Signal level" (blue line) - this is an individually customized value that demonstrates a certain part of the ADR parameter.
👉 Inputs
1) - is responsible for the ATR indicator period, the value of which will always be calculated on the daily chart. The default value is "10", that is, ATR is calculated for the last 10 days (not including the current one).
2) - signal level (in %). The default value is "0.8", that is, 80%-level of the ADR parameter (set earlier) is calculated.
👉 Style
1) - by default, this level is colored "blue".
2) - by default, this level is colored "red".
3) - by default, this level is colored "green".
👉 How to use this indicator
Important❗️ The two methods of the use of the ADR Signal indicator described below will be most effective when trading intraday (which is highlighted quite well below), so it is more logical to use the indicator information on time periods H1 and below.
1) Identifying potential reversals during intraday trading:
The ADR Signal indicator can be used as a potential individual reversal strategy.
Important ❗️It should be noted that using it in it without additional confirming analysis tools will be a rather aggressive trading approach. Therefore, it is best to support the entry point in particular with other methods.
In this case, the crossing of the red line (the number of points passed within the current day, that is, from the minimum of the current day to its maximum) and the blue line (color of the Signal level based on the default settings), indicates that the trading instrument has passed 80% (based on the default settings for the "Signal level") of its average distance from the maximum to the minimum over the past 10 days (based on the default settings for the "ADR Length"). Such a situation in the context of the mathematical-statistical approach indicates a probable reversal, since the "power reserve" of this instrument is mostly exhausted, so one can expect with a higher probability, at least, a price stop and possibly a reversal. In case of crossing of the red line and the green one (ADR level), it says again that based on the mathematical-statistical approach, this trading instrument has completely exhausted its intraday "power reserve". In this situation, a stop or reversal of the price will be even more likely.
Of course, using the "Signal level" parameter, one can filter out even more reliable situations for potential price reversals within a day, namely, by specifying, for example, 1.5 in the field of this parameter. Under such conditions, in the case of crossing the red and blue lines (based on the default style settings), to say that the trading instrument has passed 150% of its average distance over the last 10 days (based on the default style settings "ADR length"). In this case, the probability of a stop or reversal of the price increases even more.
2) Use in risk management:
In terms of risk management, this indicator is more applicable to open trades. For example, if one had an open Buy-position (especially if it is an intraday trade) and the price has raised significantly during the day, then the crossing of the red line with the blue line , and especially the red line with the green line , may indicate that the price will most likely stop growing, since the "power reserve" is almost or completely exhausted for this instrument within the current day. In this case, one can, at a minimum, move the trade to breakeven or even partially fix the profit.
We will continue to discuss the methods of using this indicator and strategies based on it here. And we are always waiting for your reactions and feedback on this topic 💬.
Thank you for your support 🚀
Amihud Liquidity RatioCalculates liquidity as a sort of moving average over time
The Amihud Illiquidity Ratio (ILLIQ) measures the price impact of trading volume. It's calculated as the absolute daily return divided by the daily dollar volume:
𝐼𝐿𝐿𝐼𝑄ₜ = |𝑅ₜ| / 𝑉𝑂𝐿𝐷ₜ
Where:
|𝑅ₜ| is the absolute value on return day t
𝑉𝑂𝐿𝐷ₜ is the dollar trading volume on day t
Here's how you can incorporate this indicator into your analysis:
1. Identifying Liquidity Regimes:
High Liquidity (Low Indicator Values): When the indicator is consistently low, it suggests a market or asset where it's generally easier to enter and exit positions without significant slippage. This might be a more favorable environment for strategies that rely on tight spreads and efficient order execution.
Low Liquidity (High Indicator Values): When the indicator is consistently high or spiking, it signals periods of lower liquidity. This can lead to:
Increased Volatility: Fewer participants and larger bid-ask spreads can amplify price movements.
Higher Slippage: Executing large orders might result in getting a worse price than expected.
Gap Risk: Significant price gaps can occur between trading sessions due to a lack of continuous trading interest.
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2. Confirming Trends and Breakouts:
Trend Confirmation:
Uptrend with Increasing Liquidity (Falling Amihud): A healthy uptrend often sees increasing participation and ease of trading. A falling Amihud during an uptrend can provide confidence in the trend's sustainability.
Uptrend with Decreasing Liquidity (Rising Amihud): An uptrend accompanied by rising Amihud might be less stable. It could suggest that the price increase is driven by fewer participants and might be more prone to reversals.
The same logic applies to downtrends, but in reverse.
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Breakout Confirmation:
Breakout with Increasing Liquidity (Falling Amihud): A breakout accompanied by increasing liquidity (falling Amihud) can suggest strong conviction and a higher probability of the breakout being sustained.
Breakout with Decreasing Liquidity (Rising Amihud): A breakout on low liquidity might be more suspect and could be a "fakeout" if there isn't enough sustained buying or selling pressure.
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3. Identifying Potential Reversal Points:
Liquidity Exhaustion: Sometimes, a prolonged period of low liquidity (high Amihud) might precede a reversal. The lack of active trading interest at those levels could make the price more susceptible to a shift in sentiment.
Liquidity Surges: A sudden spike in liquidity (a sharp drop in Amihud) after a period of low liquidity could indicate renewed interest and potentially the start of a new trend or a reversal of the previous one.
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NIG Probability TableNormal-Inverse Gaussian Probability Table
This indicator implements the Normal-Inverse Gaussian (NIG) distribution to estimate the likelihood of future price based on recent market behavior.
📊 Key Features:
- Estimates the parameters (α: tail heaviness, β: skewness, δ: scale, μ: location)
of the NIG distribution using a sliding window over log returns.
- Uses a numerically approximated version of the modified Bessel function (K₁)
to calculate the NIG probability density function (PDF).
- Normalizes the total probability across all bins to ensure the values are interpretable.
- Displays a dynamic probability table showing the chance of future returns falling into each bin.
⚠️ Notes:
- This is a real-time approximation. The Bessel function and posterior inference are simplified.
- Tail probabilities and shape parameters are sensitive to the window size and input settings.
- Useful for risk analysis, option overlays, and strategy filters.
BTC Spot Aggregated Volume + 20EMAThe purpose of this indicator is to provide a more comprehensive view of Bitcoin's spot market activity by combining volume data from several sources.
1. Fetches and aggregates spot volume data for BTC from the following exchanges:
Binance (BTCUSDT)
Coinbase (BTCUSD)
Kraken (BTCUSD)
Bitfinex (BTCUSD)
Bitstamp (BTCUSD)
KuCoin (BTCUSDT)
Gate.io (BTCUSDT)
OKX (BTCUSDT)
Huobi (BTCUSDT)
2. Calculates a 20-period EMA on the aggregated volume to smooth out the data and identify volume trends.
This indicator is particularly useful for traders who want a broader view of real BTC spot market activity, rather than relying on a single exchange's data, which might be misleading or incomplete. By averaging across major exchanges, the indicator helps reduce noise and gives a more accurate picture of volume trends.
Fractal CorridorsFractal Corridors - visual tool that maps market structure through a multi-scale lens, revealing the underlying architecture of price action across time. By processing pivot points at multiple depths, it constructs a layered geometric corridors that reflects the self-similar, scalable nature of financial markets. Each pivot scale connects successive highs and lows with lines, and when both sides are present, fills the space between them, forming polygonal bands that shift in shape and density as volatility and trend evolve.
Inputs
Base Depth: Number of bars for the smallest pivot
Factor: Multiplier between small, medium and large depths
Selectable color of components
The real value of this indicator lies not in generating executive signals, but in offering a structural perspective that blends short-term fluctuations with longer-term market cycles. The output allows to visually assess trends in terms of shapes, detect compression zones, and identify multi-timeframe confluence areas where price is likely to react. Whether used for macro trend confirmation or pattern evaluation, this indicator transforms raw price data into a clear, fractal-informed map of market behavior, helping the user navigate the complexity of emerging price through the language of geometry.
TrendCraft ICT SwiftEdge// The TrendCraft ICT SwiftEdge is a trend-following indicator that combines Simple Moving Averages (SMAs) with Inner Circle Trader (ICT) concepts, specifically Break of Structure (BOS) and Market Structure Shift (MSS), to generate precise buy and sell signals. This unique mashup leverages the strengths of trend confirmation through SMAs and market structure analysis via ICT to help traders identify high-probability trend entries. The indicator is designed to be intuitive, customizable, and suitable for traders of all levels seeking to align with market trends on various timeframes.
//
// ### What It Does
// The indicator plots two SMAs based on the high and low prices of candles to define the trend direction. It colors the SMAs and fills the area between them to visually indicate whether the price is in a bullish (above both SMAs), bearish (below both SMAs), or neutral (between SMAs) state. Simultaneously, it identifies BOS and MSS levels on a user-defined higher timeframe to confirm trend continuation or reversal points. Buy and sell signals are generated when the price closes above/below the latest BOS or MSS level (based on user preference) while also being correctly positioned relative to the SMAs, ensuring alignment with the trend.
//
// ### Why Combine SMAs and ICT?
// SMAs provide a reliable way to gauge trend direction by smoothing price data, but they can lag or generate false signals in choppy markets. ICT's BOS and MSS concepts address this by focusing on key market structure breaks, offering context for significant price movements. By requiring price to close beyond a BOS or MSS level and align with the SMA-defined trend, the TrendCraft ICT SwiftEdge filters out noise and enhances signal reliability. This combination creates a robust system that balances trend-following simplicity with structural market insights, making it ideal for trend traders.
//
// ### How to Use
// 1. **SMA Length**: Adjust the `SMA Length` (default: 20) to control the sensitivity of the SMAs. Shorter lengths react faster to price changes, while longer lengths provide smoother trends.
// 2. **Structure Timeframe**: Set the `Structure Timeframe` to a higher timeframe (e.g., "1H" on a 15M chart) to calculate BOS and MSS levels. This ensures structural signals are based on significant market moves.
// 3. **Chart Timeframe**: Select the `Chart Timeframe` to optimize pivot point calculations for your current chart (e.g., "30M" for a 30-minute chart).
// 4. **Signal Type**: Choose between "BOS" (default) for signals based on trend continuation breaks or "MSS" for signals based on potential reversal points (breakers).
// 5. **Display Options**: Enable/disable `Show Continuation (BOS)` and `Show Breaker (MSS)` to toggle the visibility of BOS and MSS lines. Customize their colors for better chart clarity.
//
// ### Signals
// - **Buy Signal**: Appears when the close price crosses above the latest BOS or MSS level (based on Signal Type) and is above both SMAs, indicating a bullish trend entry. Marked with a green "Buy" label.
// - **Sell Signal**: Appears when the close price crosses below the latest BOS or MSS level (based on Signal Type) and is below both SMAs, indicating a bearish trend entry. Marked with a red "Sell" label.
//
// ### Originality
// The TrendCraft ICT SwiftEdge stands out by integrating the trend-following reliability of SMAs with the structural precision of ICT's BOS and MSS. Unlike standalone SMA or ICT indicators, this script requires both trend alignment and structural confirmation, reducing false signals. The user-selectable Signal Type (BOS or MSS) adds versatility, allowing traders to adapt the indicator to trend-following or counter-trend strategies. Its dynamic timeframe adjustments and visual clarity make it a unique tool for traders seeking to capture trend entries with confidence.
//
// ### Notes
// - Ensure the `Structure Timeframe` is higher than your chart timeframe to avoid calculation issues.
// - Signals are generated only when the trend state changes to avoid redundant signals in the same trend direction.
// - Past performance is not indicative of future results. Always combine this indicator with other analysis and risk management techniques.
Triad Macro Gauge__________________________________________________________________________________
Introduction
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The Triad Macro Gauge (TMG) is designed to provide traders with a comprehensive view of the macroeconomic environment impacting financial markets. By synthesizing three critical market signals— VIX (volatility) , Credit Spreads (credit risk) , and the Stocks/Bonds Ratio (SPY/TLT) —this indicator offers a probabilistic assessment of market sentiment, helping traders identify bullish or bearish macro conditions.
Holistic Macro Analysis: Combines three distinct macroeconomic indicators for multi-dimensional insights.
Customization & Flexibility: Adjust weights, thresholds, lookback periods, and visualization styles.
Visual Clarity: Dynamic table, color-coded plots, and anomaly markers for quick interpretation.
Fully Consistent Scores: Identical values across all timeframes (4H, daily, weekly).
Actionable Signals: Clear bull/bear thresholds and volatility spike detection.
Optimized for timeframes ranging from 4 hour to 1 week , the TMG equips swing traders and long-term investors with a robust tool to navigate macroeconomic trends.
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Key Indicators
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VIX (CBOE:VIX): Measures market volatility (negatively weighted for bearish signals).
Credit Spreads (FRED:BAMLH0A0HYM2EY): Tracks high-yield bond spreads (negatively weighted).
Stocks/Bonds Ratio (SPY/TLT): Evaluates equity sentiment relative to treasuries (positively weighted).
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Originality and Purpose
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The TMG stands out by combining VIX, Credit Spreads, and SPY/TLT into a single, cohesive indicator. Its unique strength lies in its fully consistent scores across all timeframes, a critical feature for multi-timeframe analysis.
Purpose: To empower traders with a clear, actionable tool to:
Assess macro conditions
Spot market extremes
Anticipate reversals
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How It Works
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VIX Z-Score: Measures volatility deviations (inverted for bearish signals).
Credit Z-Score: Tracks credit spread deviations (inverted for bearish signals).
Ratio Z-Score: Assesses SPY/TLT strength (positively weighted for bullish signals).
TMG Score: Weighted composite of z-scores (bullish > +0.30, bearish < -0.30).
Anomaly Detection: Identifies extreme volatility spikes (z-score > 3.0).
All calculations are performed using daily data, ensuring that scores remain consistent across all chart timeframes.
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Visualization & Interpretation
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The script visualizes data through:
A dynamic table displaying TMG Score , VIX Z, Credit Z, Ratio Z, and Anomaly status, with color gradients (green for positive, red for negative, gray for neutral/N/A).
A plotted TMG Score in Area, Histogram, or Line mode , with adaptive opacity for clarity.
Bull/Bear thresholds as horizontal lines (+0.30/-0.30) to signal market conditions.
Anomaly markers (orange circles) for volatility spikes.
Crossover signals (triangles) for bull/bear threshold crossings.
The table provides an immediate snapshot of macro conditions, while the plot offers a visual trend analysis. All values are consistent across timeframes, simplifying multi-timeframe analysis.
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Script Parameters
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Extensive customization options:
Symbol Selection: Customize VIX, Credit Spreads, SPY, TLT symbols
Core Parameters: Adjust lookback periods, weights, smoothing
Anomaly Detection: Enable/disable with custom thresholds
Visual Style: Choose display modes and colors
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Conclusion
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The Triad Macro Gauge by Ox_kali is a cutting-edge tool for analyzing macroeconomic trends. By integrating VIX, Credit Spreads, and SPY/TLT, TMG provides traders with a clear, consistent, and actionable gauge of market sentiment.
Recommended for: Swing traders and long-term investors seeking to navigate macro-driven markets.
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Credit & Inspiration
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Special thanks to Caleb Franzen for his pioneering work on macroeconomic indicator blends – his research directly inspired the core framework of this tool.
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Notes & Disclaimer
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This is the initial public release (v2.5.9). Future updates may include additional features based on user feedback.
Please note that the Triad Macro Gauge is not a guarantee of future market performance and should be used with proper risk management. Past performance is not indicative of future results.
Mongoose Capital: FlowWave + Conviction Strip🟩 Indicator Name
Mongoose Capital: FlowWave + Conviction Strip
📜 Short Description
Smoothed Money Flow Oscillator with conviction scoring columns to assess flow strength.
🧠 Description (Long Form)
The Mongoose Capital: FlowWave + Conviction Strip is a refined visualization of money flow dynamics designed to identify shifts in volume pressure and trend strength.
This dual-panel indicator includes:
• FlowWave Line — A smoothed momentum curve built from normalized money flow data, filtered through dual EMAs. Green (positive) and purple (negative) segments help traders quickly assess bias shifts.
• Conviction Score Columns — A histogram below the zero line shows strength of flow deltas (momentum of volume pressure). Green/red bars appear when strength exceeds a critical threshold, while gray bars indicate low conviction.
• Background Zone Coloring — Optional dark red/green gradient to enhance visibility of positive/negative phases.
✅ Designed for traders who value clarity and minimal noise
✅ Pairs well with macro trend filters or breakout strategies
✅ Built and published by Mongoose Capital
🔧 Default Settings
Money Flow Length: 14
Signal Cooldown: 5 bars
Source: HLC3
EMA Wave Filter: 3
Strength Threshold: 20
🧪 Suggested Use
Confirm entries/exits in trend continuation setups
Identify divergences between price and money flow
Filter low-conviction trades using the histogram's gray zone
Spot early accumulation or distribution through wave crossovers
📢 Author
Published by: TheRealMongoose
Powered by: Mongoose Capital
Feel free to tag us in your setups.
M2 Liqudity WaveGlobal Liquidity Wave Indicator (M2-Based)
The Global Liquidity Wave Indicator is designed to track and visualize the impact of global M2 liquidity on risk assets—especially those highly correlated to monetary expansion, like Bitcoin, MSTR, and other macro-sensitive equities.
Key features include:
Leading Signal: Historically leads Bitcoin price action by approximately 70 days, offering traders and analysts a forward-looking edge.
Wave-Based Projection: Visualizes a "probability cloud"—a smoothed band representing the most likely trajectory for Bitcoin based on changes in global liquidity.
Min/Max Offset Controls: Adjustable offsets let you define the range of lookahead windows to shape the wave and better capture liquidity-driven inflection points.
Explicit Offset Visualization: Option to manually specify an exact offset to fine-tune the overlay, ideal for testing hypotheses or aligning with macro narratives.
Macro Alignment: Particularly effective for assets with high sensitivity to global monetary policy and liquidity cycles.
This tool is not just a chart overlay—it's a lens into the liquidity engine behind the market, helping anticipate directional bias in advance of price moves.
How to use?
- Enable the indicator for BTCUSD.
- Set Offset Range Start and End to 70 and 115 days
- Set Specific Offset to 78 days (this can change so you'll need to play around)
FAQ
Why a global liquidity wave?
The global liquidity wave accounts for variability in how much global liquidity affects an underlying asset. Think of the Global Liquidity Wave as an area that tracks the most probable path of Bitcoin, MSTR, etc. based on the total global liquidity.
Why the offset?
Global liquidity takes time to make its way into assets such as #Bitcoin, Strategy, etc. and there can be many reasons for that. It's never a specific number of days of offset, which is why a global liquidity wave is helpful in tracking probable paths for highly correlated risk assets.
Spot Premium with ROCDescription:
This indicator tracks the spot premium of BTC by comparing the perpetual futures price (perp) from Binance against the spot price on Coinbase. The histogram displays the price difference (spot minus perp) with green bars when spot is higher and red when perp carries a premium. The Rate of Change (ROC) line measures how quickly this premium shifts, with an option to normalize fluctuations for greater stability.
Implications & Possible Use Cases:
• Market Sentiment Gauge: A sustained positive premium often indicates bullish sentiment, while a discount can signal bearish bias.
• Arbitrage Signals: Significant divergences between perp and spot may present short-term arbitrage opportunities across exchanges.
• Risk Management & Hedging: Traders can align derivatives and spot positions when premiums deviate sharply, reducing funding cost exposures.
• Funding Rate Insights: Since perp funding rates tend to follow premium levels, this indicator can act as an early warning for funding spikes.
• Trend Confirmation: Use the normalized ROC to confirm continuation or reversal of premium trends, filtering out noise around small diff values.
Let me know if you would like additional features.
Key Levels (4H and Daily)Key Levels (4H and Daily)
This indicator highlights important key price levels derived from the 4-hour (4H) and daily (D) timeframes, providing traders with critical support and resistance areas. The levels are calculated using the highest highs and lowest lows over a customizable lookback period, offering a dynamic view of significant price points that could influence market movement.
Key Features:
Key Levels for 4H and Daily Timeframes:
The indicator calculates and displays the highest high and lowest low over a user-defined period for both the 4-hour and daily timeframes. This helps traders identify key support and resistance levels that could dictate the market's behavior.
Customizable Lookback Period:
Traders can adjust the lookback period (in days) for both the 4-hour and daily timeframes to reflect different market conditions. This flexibility ensures the levels are tailored to your preferred trading style and market conditions.
Horizontal Lines:
The indicator plots horizontal lines at the high and low levels for both timeframes. These levels serve as dynamic support and resistance areas and help traders monitor price action near these critical points.
Real-Time Updates:
The lines adjust automatically with each new bar, providing up-to-date key levels based on the most recent price action and trading session.
Alert Conditions:
Alerts are built-in to notify traders when the price breaks above or below these key levels. Traders can set up notifications to stay informed when significant market moves occur.
How to Use:
Support and Resistance: Use the levels as potential support and resistance areas where price could reverse. Price often reacts at these levels, providing potential trading opportunities.
Breakouts: Pay attention to breakouts above the high or below the low of these levels. A break above the 4H or daily high could indicate bullish momentum, while a break below could signal bearish trends.
Trend Confirmation: Combine these levels with other technical analysis tools to confirm the overall market trend and enhance your trading strategy.
Perfect for:
Day Traders: Use the 4-hour levels for intraday trading setups, such as potential reversals or breakouts.
Swing Traders: The daily levels provide longer-term insights, helping to identify key zones where price might pause, reverse, or break out.
Market Context: Ideal for those who want to contextualize their trades within broader timeframes, helping to understand the market’s structure at multiple time scales.
This description conveys the utility and functionality of the indicator, focusing on how it helps traders identify and monitor key levels that influence market action.
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.
