goodstemy LevelsThis market structure indicator was build based on average market prices, last day hi/lo prices and current day lo/hi prices and adr levels. It helps to find pivots for open orders.
Supporting levels:
- day lo/hi
- lo/hi adr
- last day lo/hi
- M0, M1, M2, M3, M4, M5
Indikator dan strategi
CCI Orbiting-VenusIndicator Description: CCI Orbiting-Venus
This is a customized version of the Commodity Channel Index (CCI) that measures the price deviation relative to its smoothed moving average to help identify overbought or oversold market conditions.
What does it do?
Calculates the CCI based on various price sources (such as close, open, high, low, and several price averages).
Applies customizable smoothing to the CCI using different types of moving averages (SMA, EMA, WMA, Hull, JMA, and SMMA).
Visually highlights the CCI direction with different colors:
Purple when CCI is above zero (positive momentum)
Orange when CCI is below zero (negative momentum)
Shows reference lines at +100 and -100 to help identify overbought and oversold zones.
How to use this indicator?
CCI Period Setting (CCI Period):
Adjust the number of periods used to calculate the CCI. Lower values make the indicator more sensitive, while higher values smooth out fluctuations.
Price Source (CCI Price Source):
Choose which price to base the calculation on: close, open, high, low, or weighted averages. This allows you to adapt the indicator to your trading style or strategy.
Smoothing Type (CCI Smoothing Type):
Select from different smoothing methods for the CCI calculation, which affects how the indicator behaves:
SMA (Simple Moving Average) – basic and traditional.
EMA, WMA, Hull, JMA (more advanced averages) – provide different noise filtering or faster response to price movements.
Interpreting CCI values:
Values above +100 suggest the asset may be overbought and could be near a downward reversal.
Values below -100 suggest the asset may be oversold and could be near an upward reversal.
Crossing the zero line indicates a potential change in trend or momentum.
Practical usage:
Look for buy signals when CCI moves up from the oversold region (-100) and crosses above zero, turning purple (positive).
Look for sell signals when CCI moves down from the overbought region (+100) and crosses below zero, turning orange (negative).
Combine with other indicators or chart analysis to confirm signals and avoid false entries.
Advantages of this custom indicator
Flexibility in choosing the price source and smoothing method.
Intuitive visual cues with colors indicating momentum direction.
Clear reference lines for quick assessment of extreme conditions.
SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes.
At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode:
Short Term mode gives more influence to 1H and 4H
Swing Trading mode gives more influence to 1D, 3D and 1W
Long Term mode gives more influence to 1W and 1M
However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements.
The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers.
The final score is capped between -10 and +10, and used to define the trend state:
Green when the trend is bullish (score > +1.5)
Red when the trend is bearish (score < -1.5)
Brown when the trend is neutral (score between -1.5 and +1.5)
Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias.
Main features:
A single, stable trend line based on six timeframes
Automatic rebalancing depending on trading mode
Quantified score integrating distance and slope
No overreaction to short-term noise
Deviation zones for advanced market context
No repainting, no lookahead, 100% real-time
SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
Volume Profile - EdzVolume Profile – Edz is a lightweight indicator that identifies the top high-volume price levels over a recent range of candles, using customizable price binning (priceStep) and lookback length. It highlights the top N volume clusters with horizontal lines, labels, and strength-based star ratings (★–★★★), and displays a compact summary table showing price, volume, and relative strength. Optimized for intraday and short-term trading, this tool updates only on the latest bar for maximum performance and is ideal for spotting volume-based support, resistance, and high-confluence trading zones.
Blue Whale Trade Strategyİlgili indikatör, paritenin son 301 mumunu tarar ve oluşmuş destek/direnç fiyatlarını paylaşır.
SMI-DarknessIndicator Description: SMI-Darkness
The SMI-Darkness is an indicator based on the Stochastic Momentum Index (SMI), designed to help identify the strength and direction of an asset's trend, as well as potential buy and sell signals. It displays a smoothed SMI using multiple moving average options to customize the indicator’s behavior according to the user’s trading style.
Main Features
Smoothed SMI: Calculates the traditional SMI and smooths it using a user-configurable moving average, improving signal clarity.
Signal Line: Displays a smoothed signal line to identify crossovers with the SMI, generating potential entry or exit points.
Histogram: Shows the difference between the smoothed SMI and the signal line, visually highlighting trend strength. Blue bars indicate buying strength, while yellow bars indicate selling strength.
Horizontal Lines: Includes overbought (+40) and oversold (-40) levels, plus a neutral zero level to aid interpretation.
Indicator Parameters
SMI Short Period: Sets the short period used to calculate the SMI (default 5). Lower periods make the indicator more sensitive.
SMI Signal Period: Sets the period to smooth the signal line (default 5). Adjust to control the signal line's smoothness.
Moving Average Type: Choose the moving average type to smooth the SMI and signal line. Options include:
SMA (Simple Moving Average)
SMMA (Smoothed Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average) — Note: This is not an original or proprietary moving average but a publicly available open-source version created by TradingView users.
VWMA (Volume-Weighted Moving Average)
KAMA (Kaufman Adaptive Moving Average)
How to Use
Trend Identification: Observe the position of the smoothed SMI relative to the signal line and the histogram values.
When the histogram is positive (blue bars), momentum is bullish.
When the histogram is negative (yellow bars), momentum is bearish.
Buy and Sell Signals:
A crossover of the smoothed SMI above the signal line may indicate a buy signal.
A crossover of the smoothed SMI below the signal line may indicate a sell signal.
Overbought/Oversold Levels:
SMI values above +40 suggest potential overbought conditions, signaling caution on long positions.
Values below -40 suggest potential oversold conditions, indicating possible buying opportunities.
Customization: Adjust the parameters to balance sensitivity and noise, choosing the moving average type that best fits your trading style.
Chebyshev-Gauss Convergence DivergenceThe Chebyshev-Gauss Convergence Divergence is a momentum indicator that leverages the Chebyshev-Gauss Moving Average (CG-MA) to provide a smoother and more responsive alternative to traditional oscillators like the MACD. For more information see the moving average script:
How it works:
It calculates a fast CG-MA and a slow CG-MA. The CG-MA uses Gauss-Chebyshev quadrature to compute a weighted average, which can offer a better trade-off between lag and smoothness compared to simple or exponential MAs.
The Oscillator line is the difference between the fast CG-MA and the slow CG-MA.
A Signal Line, which is a simple moving average of the Oscillator line, is plotted to show the average trend of the oscillator.
A Histogram is plotted, representing the difference between the Oscillator and the Signal Line. The color of the histogram bars changes to indicate whether momentum is strengthening or weakening.
How to use:
Crossovers: A buy signal can be generated when the Oscillator line crosses above the Signal line. A sell signal can be generated when it crosses below.
Zero Line: When the Oscillator crosses above the zero line, it indicates upward momentum (fast MA is above slow MA).When it crosses below zero, it indicates downward momentum.
Divergence: Like with the MACD, look for divergences between the oscillator and price action to spot potential reversals.
Histogram: The histogram provides a visual representation of the momentum. When the bars are growing, momentum is increasing. When they are shrinking, momentum is fading.
MES Scalping AI IndicatorScalping the MES (Micro E-mini S&P 500) futures market on a 1-5 minute timeframe requires a disciplined, high-speed approach to capture small price movements. Below is a straightforward and effective scalping strategy tailored for MES futures, focusing on technical indicators, precise entry/exit rules, and robust risk management. This strategy is designed for traders comfortable with fast-paced environments and assumes access to a reliable trading platform with real-time data
Chebyshev-Gauss Moving AverageThis indicator applies the principles of Chebyshev-Gauss Quadrature to create a novel type of moving average. Inspired by reading rohangautam.github.io
What is Chebyshev-Gauss Quadrature?
It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes.
How is this applied to a Moving Average?
A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as:
Mean = /
The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes:
Mean = (1/n) * Σ f(xᵢ)
What's unique about this MA?
The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.
Pair TradingPAIR TRADING
Description:
This indicator is a simple and intuitive tool for rotating between two assets based on their relative price ratio. By comparing the prices of Asset A and Asset B, it plots a “ratio line” (gray) with dynamic upper and lower boundaries (red and blue).
When the ratio reaches the red line, Asset A is expensive → rotate out of A and into B.
When the ratio touches the blue line, Asset A is cheap → rotate back into A.
The chart also shows:
🔹 Background highlights for visual cues
🔹 “Rotate to A” or “Rotate to B” markers for easy decisions
🔹 A live summary table with mean ratio, upper/lower boundaries, and current ratio
How to Use:
Select Asset A and Asset B in the settings.
Adjust the Lookback Period and Threshold if needed.
Watch the gray ratio line as it moves:
Above red line? → Consider rotating into B
Below blue line? → Consider rotating into A
Use the background color changes and rotation labels to spot clear rotation opportunities!
Why Pair Trading?
Pair trading is a powerful way to manage a portfolio because it neutralizes market direction risk and focuses on relative value.
By rotating between correlated assets, you can:
Smooth out returns
Avoid holding a weak asset too long
Capture reversion when assets diverge too far
This approach can enhance risk-adjusted returns and help keep your portfolio balanced and nimble!
How to Pick Pairs:
Choose assets with strong correlation or similar drivers.
Look for common trends (sector, macro).
Start with assets you know best (high-conviction ideas).
Make sure both have good liquidity for reliable trading!
TO HELP FIND CORRELATED ASSETS:
Use the Correlation Coefficient indicator in TradingView:
Click Indicators
Search for “Correlation Coefficient”
Add it to your chart
Input the symbol of the second asset (e.g., if you’re on MSTR, input TSLA).
This plots the rolling correlation coefficient — super helpful!
Pair trading can turn big swings into steady rotations and help you stay active even when the market is choppy. It’s a simple, practical approach to keep your portfolio balanced.
RSI Reversal (instelbare RRR)made by Laila
(Indicator in the making)
How does it work?
Using RSI to decide:
If the RSI drops below 30 (oversold), it opens a buy (long) position.
If the RSI rises above 70 (overbought), it opens a sell (short) position.
Setting risk and reward:
You choose how much of the price you're willing to risk, for example 1%.
You also set how much reward you want, like 2 times the risk (2:1).
So if the entry price is 100:
Stop loss would be at 99 (1% down),
Take profit would be at 102 (2% up).
The strategy handles everything automatically:
When the RSI condition is met, it enters a trade.
It immediately sets both TP and SL levels.
The trade closes automatically when either TP or SL is hit.
15-Min Line Chart OverlayDisplays the 15min chart as a line in the bg. Helps to identify the 15min time frame market structure on lower time frames like 1min etc.
Meth Brothers™ Dynamite FuseEarly entry indicator with based on 5& 9 EMAS, with a visual aid (stick of dynamite) to show the pivot and that both EMAS are in agreement.
BTC ETF AUM Flow Oscillator [ΔAUM + Δ²AUM + Peak Signal Markers]This TradingView oscillator tracks Bitcoin ETF flow dynamics using volume × price proxies from major ETFs like IBIT, FBTC, BITB, and others. It calculates both the first derivative (ΔAUM) to show net inflows/outflows and the second derivative (Δ²AUM) to reveal momentum shifts. Significant accelerating inflows or outflows are highlighted with green and red triangle markers at local peaks or troughs, based on z-score filtering, giving traders an early visual signal of major positioning shifts without waiting for delayed AUM updates. Thoughts welcome.
Kenan Ortalama Göstergesi [16 MA] All averages are in a single indicator, 4 from each average, you can change the colors as you wish.
TSLA + NQ1! MTF StrategyGreat! Here's an upgraded automated TradingView Pine Script (v5) strategy template with:
✅ Entry signals based on TSLA & NQ1! key levels
✅ RSI filter (momentum confirmation)
✅ Stop Loss / Take Profit
✅ Configurable Multi-Timeframe EMA filter (e.g., 1H)
OHLC_Strategy_LibraryLibrary "OHLC_Strategy_Library"
f_getPriceType(displayOption, openPrice, highPrice, lowPrice, closePrice, prevOpen, prevHigh, prevLow, prevClose)
Parameters:
displayOption (string)
openPrice (float)
highPrice (float)
lowPrice (float)
closePrice (float)
prevOpen (float)
prevHigh (float)
prevLow (float)
prevClose (float)
f_getTimeframeGroup(groupSelector)
Parameters:
groupSelector (string)
f_calculateHeikinAshi(openPrice, highPrice, lowPrice, closePrice, prevHaOpen, prevHaClose)
Parameters:
openPrice (float)
highPrice (float)
lowPrice (float)
closePrice (float)
prevHaOpen (float)
prevHaClose (float)
f_calculateAverages(priceLevels1, priceLevels2)
Parameters:
priceLevels1 (array)
priceLevels2 (array)
f_withinDateRange(currentTime, startDate, endDate)
Parameters:
currentTime (int)
startDate (int)
endDate (int)
f_heikinAshiConditions(haOpen, haHigh, haLow, haClose)
Parameters:
haOpen (float)
haHigh (float)
haLow (float)
haClose (float)
Candle Color and Wick Size CounterI had a need to know how many green vs red candles happen during a specific visual window. After usage I decided to add in an extra check for candle wick lengths. The reason for this is I want to know that if it’s a red candle, how many of them retrace back up by 1/3. Conversly I wanted to know if its a green candle did it get push back down by 1/3
PO3 Multi-Timeframe Strategy Framework🔴 4H Wick High & 🟢 4H Wick Low (Approximated)
Displays the high and low of the 4-hour wick range, calculated using the last 48 1-minute candles (approx. 4 hours).
Helps identify key liquidity zones for sweep setups.
📉 Fair Value Gaps (FVGs)
Marks standard FVGs where price moves with a visible gap between candles (momentum imbalances).
Gray label "FVG" appears below bars when triggered.
📈 Inverse Fair Value Gaps (IFVGs)
Highlights price candles that completely skip over the prior candle’s high or low — often leading to reversals.
Blue triangle appears above bars when detected.
🚀 Change in State of Delivery (CISD)
Indicates breakout moves where price closes above recent highs (used as entry confirmation).
Green triangle appears below bars to signal breakout intent.
⏰ Time Filter (Starts after 10AM EST)
All logic activates only after a 10AM EST session open to align with liquidity injections.
Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action.
These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design.
If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
Gaps cerca de cerrarseThis script identifies price gaps that are still open and highlights only those that are close to being filled — within 10% of the original gap size. It draws horizontal lines at the previous day's close (gap reference level) and labels them when the current price is approaching gap closure. Useful for gap traders who want to focus on actionable setups with high likelihood of completion.
SMA 5 & 50 Up and Down VisualisationIntroducing the TomTurboInvest TTI_SMA_5/50 Indicator – a powerful tool designed to identify short- and mid-term trends with ease. The indicator highlights upward and downward movements, visually supported by background colors for clearer trend recognition.
If both SMA5 and SMA50 are upwards the background is colored in green
If both SMA5 and SMA50 are downwards the background is colored in red
