Дельта продаж и покупокThe delta of sales and purchases reflects the difference between the number of limit buy and sell orders in a certain price range. This indicator helps traders understand where the balance is between bulls and bears in the market.
Indicators and strategies
Momentum Trend Signals: Buy/Cautious/Add/Sell with EMA Filter🧠 Core Logic and Methodology
The script detects trend phases using:
Price Action Patterns (3-bar structure for Buy/Sell detection)
Momentum Confirmation via RSI
Trend Confirmation using EMA and WMA filters
🔹 Buy Signal
Price forms higher highs and higher lows over the past 3 candles.
RSI > 50 (indicating positive momentum).
EMA21 > EMA50 (short-term trend stronger than long-term).
Close is above the 30-week WMA (approximated with 150-day WMA).
🔹 Sell Signal
Price forms lower highs and lower lows over the last 3 candles.
RSI falling.
Close is below EMA21 (a key trend filter to avoid premature exits).
🔸 Cautious Signal
Minor price weakness: lower high, lower close, lower low.
Triggered after Buy/Add phases as an early warning.
🔹 Add More Signal
Triggered only after a Cautious signal.
Price must bounce off EMA21 and close higher than the previous candle.
Helps add to winning positions while avoiding premature entries.
📈 Visual Guide
🟢 B below the candle: Buy
🟦 A below the candle: Add More
🟠 ⚠️ above the candle: Cautious
🔴 S above the candle: Sell
🧪 How to Use
Apply the script on daily or weekly charts.
Combine with your risk management and stop-loss strategy.
Avoid relying solely on one signal; use it in context with overall market structure.
⚙️ Technical Indicators Used
RSI (14)
EMA (21, 50, 100, 200)
WMA (150) as proxy for 30-week WMA
High Volume Candle HighlightThis indicator visually highlights individual candles that experience unusually high trading volume. A candle is marked if its volume exceeds a user-defined multiple of the average volume over a set period (default: 20 bars). Instead of coloring the background, this script specifically colors only the candle body, making it easy to spot volume spikes without cluttering the chart.
EMA 8/16 Crossover Strategyema 8/16 cross strategy works well. if you want to change the ema values you can change in inputs
Advanced Candlestick Pattern Detector (12 Types)This Pine Script identifies 12 major candlestick patterns and distinguishes them based on market context (trend), especially for those with similar shapes (e.g., Hammer vs Hanging Man).
Yield Curve Approximation
A yield curve is a graph that plots the yields (interest rates) of bonds with the same credit quality but different maturity dates. It helps investors understand the relationship between short-term and long-term interest rates.
🔹 Types of Yield Curves
1️⃣ Normal Yield Curve – Upward-sloping, indicating economic expansion.
2️⃣ Inverted Yield Curve – Downward-sloping, often a recession warning.
3️⃣ Flat Yield Curve – Suggests economic uncertainty or transition.
The yield curve is widely used to predict economic conditions and interest rate movements. You can learn more about it here. Would you like insights on how traders use the yield curve for investment decisions?
How to Trade Using This?
✅ If the yield curve is steepening (green) → Favor growth stocks, commodities, and high-risk assets.
✅ If the yield curve is flattening or inverting (red) → Consider bonds, defensive sectors, or hedging strategies.
✅ Pair with economic news and interest rate decisions to refine predictions.
BPCO Z-ScoreBPCO Z-Score with Scaled Z-Value and Table
Description:
This custom indicator calculates the Z-Score of a specified financial instrument (using the closing price as a placeholder for the BPCO value), scales the Z-Score between -2 and +2 based on user-defined thresholds, and displays it in a table for easy reference.
The indicator uses a simple moving average (SMA) and standard deviation to calculate the original Z-Score, and then scales the Z-Score within a specified range (from -2 to +2) based on the upper and lower thresholds set by the user.
Additionally, the scaled Z-Score is displayed in a separate table on the right side of the chart, providing a clear, numerical value for users to track and interpret.
Key Features:
BPCO Z-Score: Calculates the Z-Score using a simple moving average and standard deviation over a user-defined window (default: 365 days). This provides a measure of how far the current price is from its historical average in terms of standard deviations.
Scaled Z-Score: The original Z-Score is then scaled between -2 and +2, based on the user-specified upper and lower thresholds. The thresholds default to 3.5 (upper) and -1.5 (lower), and can be adjusted as needed.
Threshold Bands: Horizontal lines are plotted on the chart to represent the upper and lower thresholds. These help visualize when the Z-Score crosses critical levels, indicating potential market overbought or oversold conditions.
Dynamic Table Display: The scaled Z-Score is shown in a dynamic table at the top-right of the chart, providing a convenient reference for traders. The table updates automatically as the Z-Score fluctuates.
How to Use:
Adjust Time Window: The "Z-Score Period (Days)" input allows you to adjust the time period used for calculating the moving average and standard deviation. By default, this is set to 365 days (1 year), but you can adjust this depending on your analysis needs.
Set Upper and Lower Thresholds: Use the "BPCO Upper Threshold" and "BPCO Lower Threshold" inputs to define the bands for your Z-Score. The default values are 3.5 for the upper band and -1.5 for the lower band, but you can adjust them based on your strategy.
Interpret the Z-Score: The Z-Score provides a standardized measure of how far the current price (or BPCO value) is from its historical mean, relative to the volatility. A value above the upper threshold (e.g., 3.5) may indicate overbought conditions, while a value below the lower threshold (e.g., -1.5) may indicate oversold conditions.
Use the Scaled Z-Score: The scaled Z-Score is calculated based on the original Z-Score, but it is constrained to a range between -2 and +2. When the BPCO value hits the upper threshold (3.5), the scaled Z-Score will be +2, and when it hits the lower threshold (-1.5), the scaled Z-Score will be -2. This gives you a clear, easy-to-read value to interpret the market's condition.
Data Sources:
BPCO Data: In this indicator, the BPCO value is represented by the closing price of the asset. The calculation of the Z-Score and scaled Z-Score is based on this price data, but you can modify it to incorporate other data streams as needed (e.g., specific economic indicators or custom metrics).
Indicator Calculation: The Z-Score is calculated using the following formulas:
Mean (SMA): A simple moving average of the BPCO (close price) over the selected period (365 days by default).
Standard Deviation (Std): The standard deviation of the BPCO (close price) over the same period.
Z-Score: (Current BPCO - Mean) / Standard Deviation
Scaled Z-Score: The Z-Score is normalized to fall within a specified range (from -2 to +2), based on the upper and lower threshold inputs.
Important Notes:
Customization: The indicator allows users to adjust the period (window) for calculating the Z-Score, as well as the upper and lower thresholds to suit different timeframes and trading strategies.
Visual Aids: Horizontal lines are drawn to represent the upper and lower threshold levels, making it easy to visualize when the Z-Score crosses critical levels.
Limitations: This indicator relies on historical price data (or BPCO) and assumes that the standard deviation and mean are representative of future price behavior. It does not account for potential market shifts or extreme events that may fall outside historical norms.
GRU-Inspired Buy/Sell IndicatorIndicator created using the GRU-Inspired Buy/Sell Indicator principles.
Chandelier coloré par Volume + DeltaPaint candle following vol and delta values
Set volume threshold and volume threshold. If the conditions are met, the candle will be painted in the color you set.
ZMVZMV-STRATEGY
Z – Zero-Based Thinking
At the core of the ZMV-STRATEGY lies zero-based thinking: the practice of assessing actions, projects, or goals as if starting from scratch. This principle encourages:
Eliminating outdated assumptions
Prioritizing current relevance over historical momentum
Making decisions based on present and future potential, not sunk costs
M – Momentum Mapping
Momentum is essential for sustained progress. The "M" emphasizes:
Identifying key areas where traction exists
Mapping energy flows within a team, project, or market
Leveraging small wins to catalyze exponential growth
V – Value Alignment
Finally, the “V” represents value alignment, which ensures that:
Every move aligns with core values and purpose
Stakeholders are engaged through shared vision
Ethical, meaningful impact is prioritized alongside metrics
Crosby RatioCrosby Ratio with Z-Score Indicator (Weekly on Daily)
Overview:
The Crosby Ratio is a technical indicator used to identify potential market tops and bottoms based on price action and volatility. It is derived from a smoothed Heikin Ashi close and a moving average of that close, and then adjusted by the Average True Range (ATR) to assess the magnitude of price movements relative to volatility.
The indicator is designed to be more accurate on the weekly timeframe for identifying significant turning points, but in this version, it is displayed on the daily chart, with the Crosby Ratio values calculated from weekly data.
A Z-score is calculated based on the Crosby Ratio values. The Z-score standardizes the Crosby Ratio, allowing traders to better assess extreme market conditions.
How the Crosby Ratio is Calculated:
Heikin-Ashi Close: The indicator starts with the Heikin-Ashi close, calculated as the average of the open, high, low, and close prices.
Heikin-Ashi Close
=
Open
+
High
+
Low
+
Close
4
Heikin-Ashi Close=
4
Open+High+Low+Close
Smoothing: The Heikin-Ashi close values are then smoothed over a specified period (default length is 30 bars).
Moving Average: The indicator calculates a simple moving average (SMA) of the smoothed Heikin-Ashi closes to determine the trend.
Height Calculation: The difference between the current moving average and the previous one is used to calculate the height, which indicates price momentum.
Atan Function: The height value is then adjusted using an arctangent (atan2) function that considers both the height and the Average True Range (ATR) over the period. This gives us the Crosby Ratio, which is normalized on a scale of -180 to 180 degrees.
Weekly Data: The Crosby Ratio is calculated on the weekly timeframe (using request.security) but displayed on the daily chart for ease of analysis.
Z-Score Calculation:
The Z-score is a statistical measure that shows how far a value is from the mean in terms of standard deviations. In this indicator:
Z-Score Max = 2 and Z-Score Min = -2 are the predefined limits for the Z-score.
The Z-score is calculated linearly based on the Crosby Ratio values, with the formula:
𝑍
Score
=
𝐶
𝑟
𝑜
𝑠
𝑏
𝑦
Ratio
−
Crosby Min
Crosby Max
−
Crosby Min
×
(
Z-Score Max
−
Z-Score Min
)
+
Z-Score Min
ZScore=
Crosby Max−Crosby Min
CrosbyRatio−Crosby Min
×(Z-Score Max−Z-Score Min)+Z-Score Min
When the Crosby Ratio reaches a value of 23, the Z-score will be +2 (indicating extreme overbought conditions).
When the Crosby Ratio reaches a value of -16, the Z-score will be -2 (indicating extreme oversold conditions).
How to Read the Indicator:
Crosby Ratio Line: The line represents the value of the Crosby Ratio over time. Higher values indicate strong bullish momentum, while lower values indicate strong bearish momentum.
Z-Score Table: The Z-score is displayed in the table in the upper right corner of the chart. It helps to understand how far the current Crosby Ratio is from its predefined limits:
Z-Score > 1: The market is in a potentially overbought condition, signaling that a reversal could be near.
Z-Score < -1: The market is in a potentially oversold condition, suggesting a potential reversal or bounce.
Z-Score near 0: The market is within a neutral range, indicating no extreme conditions.
Upper and Lower Bands: The upper and lower bands represent threshold levels for the Crosby Ratio, indicating where extreme conditions might occur:
Upper Threshold (20.285): If the Crosby Ratio approaches or exceeds this level, the market could be in a strong uptrend, signaling overbought conditions.
Lower Threshold (-18.250): If the Crosby Ratio falls to or below this level, the market could be in a downtrend, signaling oversold conditions.
Interpretation:
Crosby Ratio Above Upper Threshold (20.285): This suggests the market might be in an overbought condition, and a reversal or pullback could be imminent.
Crosby Ratio Below Lower Threshold (-18.250): This indicates the market might be oversold, and a reversal or bounce could occur.
Z-Score of +2: Extreme overbought conditions (Crosby Ratio = 23).
Z-Score of -2: Extreme oversold conditions (Crosby Ratio = -16).
How to Use:
Trend Reversals: Watch for significant changes in the Crosby Ratio and Z-score to spot potential trend reversals. A Z-score near +2 or -2 could indicate an overbought or oversold market, respectively.
Confirmation of Signals: The Z-score can be used to confirm the strength of the Crosby Ratio. For example, if the Crosby Ratio shows an extreme value with a corresponding Z-score of +2 or -2, it suggests a strong overbought or oversold condition.
M2SL/DXY vs Crypto//@version=5
indicator("M2SL/DXY vs Crypto", shorttitle="M2SL/DXY", timeframe="", timeframe_gaps=true)
// 定义 SMA 的周期
sma_length = input.int(20, title="SMA Length", minval=1) // 默认改为20,如果确实需要原始值,可以改回1
// 获取数据
// 注意:M2SL 通常是周度或月度数据。在日线图等低周期图表上,它会保持不变直到新数据发布。
m2sl_raw = request.security("FRED:M2SL", timeframe.period, close)
dxy_raw = request.security("TVC:DXY", timeframe.period, close)
// 计算 SMA (如果 sma_length > 1)
m2sl_sma = ta.sma(m2sl_raw, sma_length)
dxy_sma = ta.sma(dxy_raw, sma_length)
// 计算比率
// 使用平滑后的数据进行比率计算
ratio = m2sl_sma / dxy_sma
// 或者,先计算比率,再平滑比率 (这是另一种方法,结果会不同)
// ratio_raw = m2sl_raw / dxy_raw
// ratio_smoothed = ta.sma(ratio_raw, sma_length)
// 绘制结果
// 解释 offset: 正数向右(未来)平移,负数向左(过去)平移
// offset = 77 是一个非常大的向前平移,请确认是否需要。如果不需要,设为 0 或注释掉。
plot_offset = input.int(0, title="Plot Offset", tooltip="Positive shifts plot to the right (future), negative to the left (past). 77 is a large forward shift.")
plot(ratio, title="M2SL/DXY Ratio", color=color.new(color.blue, 0), linewidth=2, offset=plot_offset)
// 如果你想看到 M2SL 和 DXY 的原始值或SMA值进行调试或比较,可以取消注释下面的行
// plot(m2sl_sma, "M2SL SMA", color.orange)
// plot(dxy_sma, "DXY SMA", color.green)
Active Addresses Z-ScoreActive Addresses Z-Score Indicator
The Active Addresses Z-Score Indicator is a fundamental analysis tool designed to evaluate the relationship between Bitcoin network activity and its price movements over a specified period. This indicator aims to provide insights into whether the market is showing signs of increasing or decreasing interest in Bitcoin, based on its network usage and activity.
How to Read the Indicator
Orange Line (Price Z-Score):
This line represents the Z-Score of the price change over a defined period (e.g., 28 days). The Z-Score normalizes the price change by comparing it to the historical mean and standard deviation, essentially measuring how far the current price change is from the average.
A positive Z-Score indicates that the price change is above the historical average (a bullish signal), while a negative Z-Score means the price change is below the historical average (a bearish signal).
Gray Line (Active Addresses Z-Score):
This line represents the Z-Score of the change in active addresses over the same period. The Z-Score here normalizes the change in the number of active Bitcoin addresses by comparing it to historical data.
A positive Z-Score suggests that the number of active addresses is increasing more than usual, which can be a sign of increased market activity and potential interest in Bitcoin.
A negative Z-Score suggests that active addresses are decreasing more than usual, which may indicate reduced interest or usage of Bitcoin.
Upper and Lower Threshold Lines:
The upper and lower threshold lines (set by the user) act as Z-Score boundaries. If either the price Z-Score or the active address Z-Score exceeds the upper threshold, it can signal an overbought or overactive condition. Similarly, if the Z-Score falls below the lower threshold, it could indicate an oversold or underactive condition.
These thresholds are customizable by the user, allowing for flexible interpretation based on market conditions.
Indicator Calculation
Price Change Calculation:
The percentage change in the Bitcoin price over a specified lookback period (e.g., 28 days) is calculated as:
Price Change
=
Close
−
Close
Close
Price Change=
Close
Close−Close
This shows the relative price movement during the specified period.
Active Address Change Calculation:
Similarly, the percentage change in active addresses is calculated as:
Active Address Change
=
Active Addresses
−
Active Addresses
Active Addresses
Active Address Change=
Active Addresses
Active Addresses−Active Addresses
This shows the relative change in the number of active Bitcoin addresses over the same period.
Z-Score Calculation:
The Z-Score for both the price and active address changes is calculated as:
𝑍
=
X
−
𝜇
𝜎
Z=
σ
X−μ
Where:
X is the current change (price or active addresses),
μ (mu) is the mean (average) of the historical data over the lookback period,
σ (sigma) is the standard deviation of the historical data.
This Z-Score tells you how far the current value deviates from its historical average, normalized by the volatility (standard deviation).
Smoothing (Optional):
A simple moving average (SMA) is applied to smooth out the Z-Score values to reduce noise and provide a clearer trend.
What the Indicator Does
Signals of Bullish or Bearish Market Behavior:
The Z-Score of Price tells you how strong or weak the price movement is relative to its past performance.
The Z-Score of Active Addresses reveals whether more users are interacting with the Bitcoin network, which can be an indication of growing interest or market activity.
When both the price and active address Z-Scores are high, it may indicate a strong bull market, while low Z-Scores may point to a bear market or decreasing interest.
Overbought/Oversold Conditions:
The upper and lower threshold lines help you visualize when the Z-Scores for either price or active addresses have reached extreme values, signaling potential overbought or oversold conditions.
For example, if the Price Z-Score exceeds the upper threshold (e.g., +2), it might indicate that the price has risen too quickly, and a correction may be due. Conversely, if it falls below the lower threshold (e.g., -2), it may indicate a potential buying opportunity.
Important Note on Activity and Price Movements:
After Rapid Price Increases:
A sharp increase in Bitcoin’s price followed by a spike in active addresses can be interpreted as a bearish signal. High network activity after a rapid price surge might indicate that investors are taking profits or that speculative interest is peaking, potentially signaling an upcoming correction or reversal.
After Extreme Price Declines:
Conversely, high network activity after a significant price drop may indicate a bottoming signal. A surge in active addresses during a price decline could suggest increased buying interest and potential accumulation, signaling that the market may be finding support and a reversal may be imminent.
Customization and Flexibility
The lookback period (default: 28 days) can be adjusted to suit different trading strategies or time horizons.
The smoothing length (default: 7 periods) allows for smoothing the Z-Score, making it easier to detect longer-term trends and reduce noise.
The upper and lower threshold values are fully customizable to adjust the indicator’s sensitivity to market conditions.
Conclusion
The Active Addresses Z-Score Indicator combines network activity with price data to give you a deeper understanding of the Bitcoin market. By analyzing the relationship between price changes and active address changes, this indicator helps you assess whether the market is experiencing unusual activity or if Bitcoin is trending in an extreme overbought or oversold condition.
It is a powerful tool for fundamental analysis and can complement traditional technical indicators for a more comprehensive trading strategy.
ADR%, CCR% & Risk-Based Quantity✅ What This Does:
ADR%, CCR% (Current Candle Range) and quantity now show up in the Data Window (when you hover over the chart)
The chart still looks completely clean (the plots are fully transparent)
Chart scale is unaffected, because the values are typical % ranges (e.g., 1–10%)
CME Gaps on Price chart (Xpdev)This script was published to help traders monitor market gaps on the CME and overlay them directly on the price chart.
The script works in general for any market and on any time frame.
The script allows the user to:
- Specify the CME ticket for gap searching (default is BTC1!);
- Specify the time frame for gap searching;
- Specify how the gaps should be filled;
- Identify price gaps of a custom width (Gap Width);
- Overlay on the price chart gaps found through showing red and green areas.
- Option to show label and price CME on chart with a proximity parameter
- Option to show only Bull or Bear gaps
- Option to customize color for Bull and Bear gaps
- Options for gap info label
- Option for gap filling criteria
- Option to show closer Gaps info table
- Option to show statistic info table
** WARNING **
CME data may be delayed or unavailable depending on the type of subscription or additional packages purchased for your TW profile.
EMA 5/10 Crossover SignalsThis indicator gives Buy and Sell signals when the 5 EMA crosses with the 10 EMA
HONZ4 SessionsDisplaying sessions according to stock market opening times:
Stock exchanges: JPX (Tokyo), LSE (London), NASDAQ (New York).
Japan – 9:00 - 15:25 (UTC+9)
London – 8:00 - 16:30 (UTC / in summer UTC+1)
New York – 9:30 - 16:00 (UTC-5 / in summer UTC-4)
The conversion of these times to UTC as of May 2025 looks like this:
Japan – 0:00 - 6:25 (UTC)
London – 7:00 - 15:30 (UTC)
New York – 13:30 - 20:00 (UTC)
Alert TrendThis indicator is designed to function as a dynamic BIAS tool but can be adapted to various strategies depending on user needs.
Key Features and Integration:
Personally, I pair it with the "EMA Suite" indicator, as my strategy revolves around Fibonacci-based moving averages. The indicator uses EMA 55 and EMA 233 as trend references, triggering a trend shift when a candle closes fully above or below these levels. To maintain structural integrity, the EMA values are not user-configurable in the settings: adjustments require direct script modification (e.g., switching to EMA 50 and EMA 200, widely recognized reference levels), this ensures logical consistency for advanced users familiar with Pine Script.
Output Signals and Interpretation:
The indicator generates four distinct signals:
1. Uptrend: Candle closes above both EMA 55 and EMA 233.
2. Weak Uptrend: Candle closes above EMA 55 but below EMA 233.
3. Downtrend: Candle closes below both EMA 55 and EMA 233.
4. Weak Downtrend: Candle closes below EMA 55 but above EMA 233.
The area between the two EMAs represents a "complex zone" where price action contradicts higher timeframe trends. To resolve ambiguity, combine this indicator with a primary timeframe (e.g., H4) and a confirmation timeframe (e.g., H1). In smaller timeframes may also serve as entry signals, a feature currently under exploration for automation.
Alert System and Strategy Integration:
The indicator includes customizable alerts for all four signals collectively or individually, streamlining integration into Strategy scripts. This flexibility enhances adaptability for backtesting or live trading.
Critical Note:
Configure the indicator to display exclusively on the selected timeframe. Higher intervals fail to render all signals due to overlapping visualizations, distorting analysis. To resolve this, set the visibility parameter to "Visibility on intervals/Current interval and below" in the chart settings. This ensures clarity and preserves signal accuracy.
Development Status and Collaboration:
As part of an ongoing project, this tool is already integrated into my personal strategy. While functional and publicly shareable, further refinements are planned. Though not a professional developer, I utilize Deepseek for coding assistance and possess sufficient Pine Script literacy to oversee the logic. Feedback, suggestions, and collaborations are welcome to optimize its utility.
I hope this tool proves valuable to fellow traders navigating multi-timeframe analysis and trend confirmation.
TrueDelta Candles📖 Description:
TrueDelta Candles is a precision tool for traders who want deeper insight into market sentiment through real-time volume delta analysis. Rather than using traditional volume bars, this indicator colors each chart candle based on the net volume delta—the difference between buying and selling volume—fetched from a lower timeframe.
🚀 Key Features:
🎯 Real Candle Coloring: Colors actual price candles based on delta volume—green (buying pressure), red (selling pressure).
⏱️ Multi-Timeframe Volume Analysis: Automatically selects the appropriate lower timeframe for better delta approximation, or lets you set a custom one.
🔬 Order Flow Insight: Visualizes the tug-of-war between buyers and sellers within each candle.
⚡ Lightweight & Non-Intrusive: No clutter—just clean color overlays on your chart candles.
🔄 Live Updating: Responds instantly as new data arrives.
🧠 Ideal For:
Intraday and scalping strategies.
Momentum and breakout traders.
Order flow enthusiasts looking for a visual edge.
🛠️ How It Works:
Behind the scenes, the script uses ta.requestVolumeDelta() to retrieve granular buy/sell volume data from a lower timeframe. The net delta volume then determines whether the candle is colored green (positive delta) or red (negative delta). This makes it easy to spot when market pressure aligns or diverges from price action.
⚙️ Settings:
Use Custom Timeframe: Manually select the lower timeframe used for delta calculation (e.g., "1", "5").
Default Auto Mode: Automatically adapts to your current chart resolution for optimal data balance.
If you're serious about understanding the real dynamics behind every candle, TrueDelta Candles adds an essential layer of volume-based context that price alone can't offer.
Multi-Timeframe Trend Lines📌 What This Indicator Does
This tool helps you see the direction of the market across different timeframes—all on one chart.
Imagine you're looking at the price of a stock, crypto, or any other asset. You probably know the price can move differently in the short term and the long term. This indicator draws slanted lines to show if the price is generally going up or down over different time periods—like the past 1 minute, 5 minutes, 1 hour, 1 day, or even 1 month.
These lines are colored:
Green if the price is going up (a rising trend).
Red if the price is going down (a falling trend).
You can choose which timeframes you want to see—like 5 minutes or 1 day—by ticking checkboxes.
✅ Why This Is Useful
1. Helps You See the Bigger Picture
Even if you’re trading on a short timeframe (like 5 minutes), this indicator shows you the trend in longer timeframes (like 1 hour or 1 day). This helps you avoid going against the overall direction of the market.
2. Gives You More Confidence
When several timeframes show the same direction (all lines green, for example), it gives you more confidence that the trend is strong.
3. Saves Time
Instead of switching between different charts (like going from a 1-hour chart to a daily chart), you can see all the trends right on your current chart.
4. Easier Decision Making
You can quickly decide if it’s a good idea to buy (when most lines are green) or sell (when most lines are red).
👶 Example for a Beginner
Let’s say you’re looking at a 15-minute chart and thinking of buying.
* The 15-minute line is green (short-term price is going up).
* The 1-hour line is also green (medium-term price is going up).
* The 1-day line is green too (long-term price is going up).
This is a good sign that everything is moving upward, and it may be safer to buy.
But if the 1-day line is red while the shorter ones are green, it might mean the upward move is just temporary. That’s something to be careful about.
Key Candle Re-Entry ZonesTime zone markups for the 1:25 & 9:25 times. This helps build identity for the pre-market and market analysis
FVG Candle HighlighterThis indicator highlights only the true Fair Value Gap (FVG) creator candle — the middle candle in a 3-bar FVG formation — with zero clutter.
🔹 Bullish FVG: Candle is colored if price gaps above the high two bars back
🔹 Bearish FVG: Candle is colored if price gaps below the low two bars back
✨ No boxes. No zones. Just pure, visual price-action accuracy.
🔧 Powered by Pine Script v6
🧠 Based on institutional-style FVG logic
🎯 Ideal for Smart Money / ICT / Order Block strategies
EMA Cross Signal Dashboard V4Amazing Scanner for demo useAmazing Scanner for demo useAmazing Scanner for demo useAmazing Scanner for demo useAmazing Scanner for demo useAmazing Scanner for demo use
Trend Strength IndexThis is a refined and fixed version of the classic True Strength Index (TSI) indicator. TSI is a momentum oscillator developed by William Blau that captures both trend direction and strength by analyzing the double-smoothed price momentum.
Unlike the standard version, this script is fixed to only update on closed candles, ensuring signals are stable and do not repaint or fluctuate mid-bar—ideal for traders who want reliable confirmation before making decisions.
Key Features:
Double EMA smoothing of momentum
Stable and reliable signal generation
Perfect for spotting reversals and trend continuations
Fixed updates only at candle close
Best used in combination with trend-following tools, divergences, or price action for maximum effectiveness