Indicators and strategies
Global Liquidity Index with Dynamic TimeframeThis is the M2 Global Money supply indicator with added functionality of moving the graph sideways (increment of days) in order to find a potential price correlation with any chart
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.
Reverse Relative Strength Indicator [RRSI]🌀 Reverse Relative Strength Indicator (RRSI)
RRSI is a custom-built indicator inspired by the traditional RSI, but with a reverse logic. It aims to capture reverse momentum within strong trends, making it especially useful for identifying contrarian overbought/oversold zones in trending markets.
📌 Key Features:
✅ Built on a price momentum reversal mechanism, ideal for spotting short-term pullback opportunities within trends
✅ Default range ; values above 80 indicate reverse overbought, below 20 indicate reverse oversold
✅ Works best when combined with RSI/MACD for multi-factor strategies
📈 Use Cases:
📍 Catching pullback entries during trending markets
📍 Spotting reversal signals in ranging conditions
📍 Serving as a filter for entry/exit conditions in automated trading systems
🧠 Strategy Suggestions:
In strong trend conditions (e.g., when moving averages are aligned), consider buying when RRSI drops below 20
In sideways markets, look for selling opportunities when RRSI enters overbought zones, especially near resistance or upper Bollinger Bands
📐 Fully customizable parameters for personalized optimization.
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 🚀
PHAI GIAU NHAT VN)
positive and negative are recreated each bar using nz(... ) to keep the old value if no new signal is present.
The line p_mom ? true : nz(positive , false) ensures the variable keeps the correct state across bars.
Clearly displays "UP" and "DOWN" signals.
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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Cambio de Tendencia EMA 3este inidcador muestra en cambio de tenedencia en l grafica de una ema de 3 periodos muy sencible
trail Timeframe Divergence TableFirst Version of Timeframe Divergence which can possibly point to a potential reversal
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.
10x NDXT1 Security ComparisonAnalyze different instruments against one another on the same chart. Based on a script by samuelhei, and further developed with the help of ChatGPT and lots of typing on my part.
BTC Aggregated Spot Volume ProfileThis script creates a volume profile indicator using aggregated BTC spot volume across major crypto exchanges. It visualizes where trading activity is concentrated in a given price range, highlights the Point of Control (POC), and defines the Value Area, helping traders identify key support and resistance zones.
1. Exchange Aggregation: Pulls BTC spot volume from 9 major exchanges:
Binance, Coinbase, Kraken, Bitfinex, Bitstamp, KuCoin, Gate.io, OKX, Huobi.
2. Customizable Inputs:
Number of Bars: Historical bars to analyze (default: 150).
Row Size: Number of price bins (volume profile rows).
Value Area Volume %: Percentage of total volume to include in the Value Area (default: 70%).
Styling options for volume bars and the POC line.
Ideal for traders who want to:
See where the most BTC spot trading volume occurred in a given range.
Identify high-interest price zones.
Use volume-at-price analysis for smarter entries/exits.
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.
BTC / USEU (FX-Adjusted)first version btc/k adjustable
filters out usd movments to see raw btc changes
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.
RSI Swing Indicator + AlertThis is updated script that adds alert function to MrDinasty's "RSI Swing Indicator v2".
This is amazing script.
We must appreciate him forever.
Anyways, you can execute the following best practice after you get alert.
www.youtube.com
This seems to be work most effectively with 3min chart.
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.
Candle Range Theory (Sweep & Inside Body)CRT a simple version for H4 time frame just for checking purpose
SMI_GEOCustom Stochastic Momentum Index (SMI) indicator, suitable for scalping/automatic alerts. Parameters: