MACD_magistraturaCustom Indicator "MACD Magistratura" — Precision in Momentum, Clarity in Structure
🔹 Why trade with outdated MACD settings?
— Classic MACD is useful, but limited:
→ One timeframe, one signal, one view,
→ Often noisy, lagging, and hard to contextualize.
— Most traders use it blind — without knowing when it works, and when it misleads.
🔹 What is MACD Magistratura?
— A custom-built evolution of the classic MACD,
— Engineered for multi-timeframe clarity,
— Designed to show not just momentum — but its hierarchy across timeframes.
🔹 Key advantages:
✅ No more clutter — one indicator replaces 2+ classic MACDs,
✅ No repaint — values are stable, based on closed candles,
✅ Clear divergence detection — compare price vs. multi-TF MACD perpendicularly,
✅ Perfect for trend confirmation — especially when combined with SMA Magistratura.
M-oscillator
RSI_magistratura⚜️ Custom Indicator "RSI_Magistratura" — Combining the Best Oscillators in One Tool
🔹 What we’re learning:
— The difference between classic oscillators (MACD, RSI, Stochastic) and our custom RSI Magistratura indicator,
— Why using three indicators is inefficient,
— How one single tool can replace an entire arsenal.
🔹 Classic indicators: what do they show?
— MACD — convergence/divergence of moving averages,
— RSI — relative strength of price movement,
— Stochastic — price level within the current range.
📌 Common features:
→ All three show similar dynamics:
Smoothed lines,
Divergences,
Crossovers.
→ But each has its own nuances.
🔹 Why do traders combine them?
— Some use:
MACD + Stochastic → to confirm signals,
RSI + Stochastic → to assess overbought/oversold conditions,
Or all three at once — to "not miss" a signal.
📌 The problem:
— The more indicators you add — the more noise you get,
— Less space left for the actual price chart,
— Decisions become emotional, not systematic.
🔹 How many indicators are needed?
— Just for trend analysis:
→ 3–4 Moving Averages (SMA),
— Plus 3 oscillators: MACD, RSI, Stochastic,
→ Total: 7 indicators.
📌 This clutters the chart and makes it hard to see the real picture.
And it often requires a paid TradingView subscription.
🔹 How did we solve this?
— We created the custom RSI Magistratura indicator,
— It combines:
Key features of MACD, RSI, and Stochastic,
Data from all timeframes in one place.
🔹 Advantage #1: Color-coded system
— Colors match those in SMA Magistratura:
1 hour — purple,
4 hours — black/white,
1 day — aqua,
1 week — peach,
1 month — maroon,
3 months — brown.
→ Easy to remember, easy to navigate.
🔹 Advantage #2: Universality
— On any timeframe, you see:
Current,
Higher,
And up to 5 higher timeframes.
→ For example: on 15-minute chart — you see 1H, 4H, 1D,
→ On 1H — you see 4H, 1D, 1W,
→ No need to switch between multiple indicators.
🔹 Advantage #3: Precision and speed
— You see simultaneously:
Short-term fluctuations,
Mid-term trends,
Long-term context,
→ Without switching charts or timeframes.
🔹 Example: RSI across timeframes
— On Daily — RSI moves slowly,
— On 4H — faster,
— On 1H — even more responsive,
→ But crossovers and divergences remain consistent — just scaled.
📌 Important:
— You don’t need all timeframes at once,
— Enough to track: current, senior, and next one,
→ This is the perfect balance between information and clarity.
🔹 Conclusion:
— Classic indicators are good — but inefficient when used in bulk,
— The RSI Magistratura is:
A system, not a toolkit,
Simplification, not clutter,
Quality analysis, not guesswork.
💡 Use it — and you’ll see the market clearer, make decisions with more confidence.
Matts Moving Average's The 50,62,100moving average's
I use them for direction and strength also trend is easy to see
waiting for them to cross offer the best opportunities
RSI Plus – Divergence + EMA/WMARSI Plus – Divergence + EMA/WMA
This is an advanced RSI indicator designed for traders who want to maximize the power of RSI.
Beyond the standard RSI plot, this tool adds extra features to help analyze trends and identify better entry signals.
Key Features:
Standard RSI with highlighted zones (20–30, 30–40, 40–60, 60–70, 70–80)
Multiple smoothing options: SMA, EMA, SMMA, WMA, VWMA
Bullish/Bearish divergence detection with labels and alerts
WMA(45) on RSI for mid-term trend confirmation
EMA vs WMA45 color-fill (green for bullish, red for bearish)
Multi-timeframe support (Daily, H4, H1)
How to use:
Spot potential reversals with RSI divergence
Confirm trend direction when RSI EMA > WMA45 (bullish) or EMA < WMA45 (bearish)
RSI Plus – Divergence + EMA/WMAThis is an advanced RSI indicator with multi-timeframe dashboard support.
Features:
Customizable Moving Averages (EMA, WMA, SMA, VWMA, SMMA)
Divergence detection
RSI zones with background highlights
Clear buy/sell signals with visual alerts
Perfect for traders who want both classic RSI analysis and cross-timeframe confirmation in one tool.
Nearest Rank For Loop - [JTCAPITAL]Nearest Rank For Loop is used for trend-following using the median of the data.
The indicator works by calculating in the following steps:
1. The median is calculated using the ranking length of the source and using "percentile nearest rank" to determine the middle value. This is done with the original length and the length devided by 3, averaged out to eliminate false signals from extremely fast and temporary market movements.
2. Over the length of the loop values get added based on the median being higher than the previous median.
3. The results of the for loop segment get smoothed out using an EMA.
--Buy and sell conditions--
-When the for loop values get above the long threshold we enter a buying condition, we dont exit the buying condition until the for loop values get below the short condition. Which signals a short.
-When the values stay between the thresholds the signal doesnt change. This and smoothing out the for loop values is used to eliminate false signals as much as possible.
--Features and Parameters--
-Allows the changing of the length of the ranking (median)
-Allows the usage of different sources
-Allows changing of the paramaters over the start and end of the for loop segment
-Allows changing the thresholds for longs and shorts
-Allows changing the parameter for the smoothing using an EMA
--Details--
Both the wide thresholds and the use of an EMA over the for loop values are used to eliminate as much false signals as possible. Aswell as deviding the length by 3 and taking the average from the medians. From testing this indicator we have found that using a very small value for the shorting gives the overall best performance. Since a fast market move wont immediately trigger a false signal, but it also wont massively delay entries and exits.
It is recommended to change the parameter settings for different asset classes and timeframes based off volatility and fast and confusing market movements.
Enjoy!
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see
An at-a-glance drawdown-risk oscillator that blends several macro US signals.
• A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100).
• Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down).
• A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE).
Data used & why
Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns.
Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions.
Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration.
Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk.
VIX spikes — optional boost that recognizes sudden risk repricings.
Important disclaimer
This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong.
That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past.
Key customization / tweaks
Weights for each component (Yield, Credit, LEI, VIX, CAPE).
Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels.
Re-steepen boost: enable/disable, base points, half-life decay.
Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green.
Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds.
Status table: position, and a snapshot mode to view values at a chosen historical time.
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers.
These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment.
🔶 USAGE
This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time.
Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset.
By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500.
Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc.
🔹 Densities
The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones.
Interpretation is subject to the selected "Density Mode".
Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers.
Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density.
🔹 Dashboard
The tool features a dashboard with active tickers and their respective colors for traders' convenience.
🔶 DETAILS
🔹 Densities
Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode.
The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability.
Do note that the smoothing method used here is subject to repainting.
🔶 SETTINGS
Lookback: Select the lookback period and enable/disable the Auto Lookback feature
Tickers: Enable/disable and select up to 10 tickers and their colors
Density Mode: Determine how densities are calculated
🔹 Dashboard
Show Dashboard: Enable/disable the dashboard
Position: Select the dashboard position
Size: Select the dashboard size
🔹 Style
Density: Enable/disable the density areas
Bullish Density: Select the color of the top density area
Bearish Density: Select the color of the bottom density area
Smoothing: Select the smoothing constant for the EMA calculation
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
Pi Cycle OscillatorThis oscillator combines the Pi Cycle Top indicator with a percentile-based approach to create a more precise and easy to read market timing tool.
Instead of waiting for moving average crossovers, it shows you exactly how close you are to a potential market top.
Orange background means you should start preparing for a potential top and look into taking profits.
Red background means that the crossover has happened on the original Pi Cycle Indicator and that you should have already sold everything. (Crossover of the gray line aka 100)
Thank you
Bollinger Band Width Percentile - The_Caretaker
Pi Cycle Top - megasyl20
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator
Version: PineScript™v6
📌 Description
The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength.
Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions.
The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls.
🚀 Points of Innovation
Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering
Dual-sided confidence tracking for both support and resistance levels simultaneously
Sigmoid function processing for enhanced mathematical accuracy in confidence calculations
Real-time institutional defense pattern analysis through complete test cycles
Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA)
Integrated momentum indicators and gradient visualization for enhanced signal clarity
🔧 Core Components
Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes
Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters
Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows
Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles
Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation
🔥 Key Features
Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time
Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view
Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates
Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences
Real-Time Updates: Continuously processes market data to provide current institutional confidence readings
Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation
🎨 Visualization
Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100%
Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels
Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation
Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators
Momentum Indicators: Rate of change visualization for confidence trends
Background Highlights: Extreme confidence level alerts when readings exceed 80%
📖 Usage Guidelines
Auto-Detection Settings
Use Auto-Detection
Default: true
Description: Enables automatic thin liquidity zone identification based on volume and size criteria
Volume Threshold Multiplier
Default: 6.0, Range: 1.0+
Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases
Volume MA Length
Default: 15, Range: 1+
Description: Period for volume moving average baseline calculation, affects volume spike sensitivity
Max Zone Height %
Default: 0.5%, Range: 0.05%+
Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price
Confidence Logic Settings
Test Observation Window
Default: 20 bars, Range: 2+
Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings
Clean Break Threshold
Default: 1.5 ATR, Range: 0.1+
Description: ATR multiple required for zone invalidation, higher values make zones more persistent
Visual Settings
Smoothing Method
Default: EMA, Options: SMA/EMA/WMA/ALMA
Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability
Smoothing Length
Default: 5, Range: 1-50
Description: Period for smoothing calculation, higher values create smoother lines with more lag
✅ Best Use Cases
Trending market analysis where institutional zones provide reliable support/resistance levels
Breakout confirmation by validating zone strength before position entry
Divergence analysis when confidence shifts between support and resistance levels
Risk management through identification of high-confidence institutional backing
Market structure analysis for understanding institutional sentiment changes
⚠️ Limitations
Performs best in liquid markets with clear institutional participation
May produce false signals during low-volume or holiday trading periods
Requires sufficient price history for accurate confidence calculations
Confidence readings can fluctuate rapidly during high-impact news events
Manual fallback zones may not reflect actual institutional activity
💡 What Makes This Unique
Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis
Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels
Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations
Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change
Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity
🔬 How It Works
1. Zone Identification Process:
Scans for high-volume bars that exceed the volume threshold multiplier
Filters bars by maximum zone height percentage to identify thin liquidity conditions
Stores qualified zones with proximity threshold filtering for relevance
2. Confidence Calculation Process:
Monitors price interaction with identified zones during observation windows
Measures volume ratios and adverse excursions during zone tests
Applies sigmoid function processing to normalize raw data into confidence percentiles
3. Real-Time Analysis Process:
Continuously updates confidence readings as new market data becomes available
Tracks institutional defense success rates and zone validation patterns
Provides visual and numerical feedback through the oscillator display
💡 Note:
The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
MasterEdge v4 — Trend & Momentum Presets with Filters & ATR RiskMasterEdge v4 — Trend & Momentum with Filters & ATR Risk
MasterEdge v4 is a multi‑timeframe trend and momentum indicator designed to help you stay on the right side of the market while controlling risk. It combines two classic signal engines—Donchian channel breakouts (à la Turtle Traders) and moving‑average crosses—with a suite of filters and risk tools to reduce false signals and keep you disciplined.
## Core features
- **Auto/manual presets:** Automatically adjusts look‑back lengths and thresholds based on the instrument (crypto, forex, indices, etc.) and chart timeframe, or lets you set them manually.
- **Higher‑timeframe bias:** Uses a non‑repainting higher‑timeframe EMA to determine whether the market is trending up or down and gates signals accordingly. You can choose the HTF yourself or let the auto‑engine pick one.
- **Dual signal modes:**
- *Donchian (Turtle)* mode enters on breakouts of an N‑bar channel and exits on a shorter channel.
- *MA Cross* mode buys when a fast EMA/SMA crosses above a slow EMA/SMA and sells on the opposite cross.
- **Advanced filters:** RSI momentum and ADX trend‑strength filters help avoid trades during choppy conditions. Optional volume and HTF‑slope filters require participation and higher‑timeframe momentum. A configurable **quality score** combines these filters so you only take higher‑probability setups.
- **ATR risk rails & position sizing:** Visual stop‑loss and target rails are calculated from ATR to adapt to volatility. An optional position‑size suggestion uses your account size and risk percentage to estimate how much to trade (for informational purposes only).
- **Session gating & status table:** Restrict signals to specific trading sessions. A live table shows your current settings, filter status, quality score and recommended position size, so you always know why a signal fired—or didn’t.
- **Alerts:** Separate long and short alerts with static JSON payloads let you hook the indicator into your notification or webhook workflow.
## How to use
1. **Select auto or manual:** Use the *Preset Mode* input. Auto mode adjusts lengths and thresholds to the ticker and timeframe; manual mode lets you set them explicitly.
2. **Choose a signal mode:** Pick between Donchian breakout or MA cross. Donchian is often better for lower‑timeframe breakouts; MA crosses smooth out noise on higher timeframes.
3. **Enable filters:** Turn on RSI, ADX, volume and/or slope filters and set your desired quality‑score threshold. Higher thresholds yield fewer, cleaner signals.
4. **Define risk:** If you want visual risk guides and position‑size suggestions, leave ATR rails on and input your account size, risk percentage and value per point.
5. **Timeframe pairing:** For intraday trading, try a 5 min chart with a 60 min bias; for swing trading, use a 1 h chart with a 4 h bias. The auto‑engine selects sensible higher‑timeframe defaults, but you can override them.
6. **Confirm signals:** The indicator plots green triangles below bars for long signals and red triangles above bars for short signals. The status table updates each bar with filter states and whether a signal is active.
**Disclaimer:** This script is for educational and analysis purposes only and is not financial advice. Always test on a demo account before trading live and tailor the settings to your strategy, risk tolerance and market behaviour.
SExI - Super Exhaustion Indicator [Da_Prof]As we know, the RSI can remain at "overbought" or "oversold" levels for long periods of time while the price continues in that direction. The SExI (Super Exhaustion Indicator) is an indicator designed to help detect exhaustion of strong moves.
The SExI is a combination of the RSI and "upper" Aroon. For the indicator to trigger, the RSI has to be above or below a top/bottom trigger line when the Aroon has had a set number of drives up or down correspondingly. An Aroon top drive is defined as the Aroon hitting 100% on the current candle when the previous candle was below 100%. An Aroon bottom drive is defined as the Aroon hitting 0% on the current candle when the previous candle was above 0%. Consecutive top or bottom drives are counted and exhaustion triggers when these drives hit a setpoint (default is 5 drives = the Aroon exhaustion trigger). When Aroon exhaustion is triggered and the RSI is correspondingly above/below a trigger line, the overall indicator signals exhaustion. There are two lines for bottoms and tops, one each for a "normal" trigger and and an "extreme" trigger.
The Aroon drives are visualized at the top and bottom of the indicator. The RSI is plotted as a line that crosses top and bottom trigger lines. There are extreme trigger values for both the bottom and top exhaustion triggers.
--Da_Prof
Trend Shift Histogram By Clarity ChartsTrend Shift Histogram – A Brand New Formula by Clarity Charts
The Trend Shift Histogram is a brand-new mathematical formula designed to capture market momentum shifts with exceptional clarity.
Unlike traditional histograms, this indicator focuses on detecting early changes in market direction by analyzing underlying trend strength and momentum imbalances.
Key Features:
New Formula – Built from scratch to highlight momentum reversals and hidden trend shifts.
Visual Clarity – Green and red histogram bars make it easy to identify bullish and bearish phases, and grey area as trend reversal or sideways zone.
Trend Detection – Helps traders spot when the market is about to shift direction, often before price reacts strongly.
Scalable Settings –
Use smaller lengths for scalping and short-term trades.
Use larger lengths for swing trading and longer trend analysis.
Every Timeframe Ready – Whether you’re scalping on 1m or analyzing weekly charts, the histogram adapts seamlessly.
Power of Combining with the Fear Index
The Trend Shift Histogram becomes even more powerful when combined with Fear Index by Clarity Charts :
Fear Index by Clarity Charts
Together:
Fear Index highlights market fear & exhaustion levels, showing when traders are capitulating.
Trend Shift Histogram confirms the direction of the new trend once fear has peaked.
How to Use:
📈 Long Entry Condition
A long position is triggered when the following conditions align:
The Fear Index Bulls are showing upward momentum, indicating strengthening bullish sentiment.
The Fear Index Bears are simultaneously declining, signaling weakening bearish pressure.
The Trend Shift Histogram transitions from a short bias to a long bias, confirming a structural shift in market direction.
When all three conditions occur together, it provides a strong confluence to initiate a long trade entry.
📉 Short Entry Condition
A short position is triggered when the opposite conditions align:
The Fear Index Bears are showing upward momentum, indicating strengthening bearish sentiment.
The Fear Index Bulls are simultaneously declining, signaling weakening bullish pressure.
The Trend Shift Histogram transitions from a long bias to a short bias, confirming a structural shift in market direction.
When all three conditions occur together, it provides a strong confluence to initiate a short trade entry.
🔄 Bullish Trend Cycle
During a bullish phase as per the Fear Index, you can capture the entire cycle by:
Entry: Taking entries when the Trend Shift Histogram begins printing green bars, which mark the start of a bullish trend shift.
Exit: Closing the position when the histogram transitions to grey bars, signaling exhaustion or a potential pause in the bullish cycle.
This approach allows you to ride the bullish momentum effectively while respecting market cycle shifts.
🔻 Bearish Trend Cycle
During a bearish phase as per the Fear Index, you can capture the entire cycle by:
Entry: Taking entries when the Trend Shift Histogram begins printing red bars, which mark the start of a bearish trend shift.
Exit: Closing the position when the histogram transitions to grey bars, signaling exhaustion or a potential pause in the bearish cycle.
This approach ensures that bearish trends are traded with precision, avoiding late entries and capturing maximum move potential.
Watch for histogram color changes (green = bullish, red = bearish, grey = sideways).
Adjust length settings based on your style:
Small = intraday & scalping precision.
Large = swing & positional confidence.
Combine signals with Fear Index peaks for high-probability reversal zones.
Apply across any timeframe for flexible strategy building.
Who Can Use This
Scalpers – Catch quick intraday shifts.
Swing Traders – Ride bigger moves with confidence.
Long-Term Investors – Spot early warning signs of market trend reversals.
Contact & Support
For collaboration, premium indicators, or custom strategy building:
theclaritycharts@gmail.com
EMA Range OscillatorEMA Range Oscillator (ERO) - User Guide
Overview
The EMA Range Oscillator (ERO) is a technical indicator that measures the distance between two Exponential Moving Averages (EMAs) and the distance between price and EMA. It normalizes these distances into a 0-100 range, helping traders identify trend strength, market momentum, and potential reversal points.
Components
Main Line
Green Line: EMA20 > EMA50 (Uptrend)
Red Line: EMA20 < EMA50 (Downtrend)
Histogram
White Histogram: Price distance from EMA20
Key Levels
Upper Level (80): High divergence zone
Middle Level (50): Neutral zone
Lower Level (20): Low divergence zone
Parameters
ParameterDefaultDescriptionFast EMA20Short-term EMA periodSlow EMA50Long-term EMA periodNormalization Period100Lookback period for scalingUpper80Upper threshold levelLower20Lower threshold level
How to Read the Indicator
High Values (Above 80)
Strong trend in progress
EMAs are widely separated
High momentum
Potential overbought/oversold conditions
Watch for possible trend exhaustion
Low Values (Below 20)
Consolidation phase
EMAs are close together
Low volatility
Potential breakout setup
Range-bound market conditions
Middle Zone (20-80)
Normal market conditions
Moderate trend strength
Balanced momentum
Look for directional clues from color changes
cd_RSI_Divergence_CxGeneral:
The Relative Strength Index (RSI) is a momentum oscillator widely used by traders in price analysis. In addition to showing overbought/oversold zones, divergences between RSI and price are also tracked to identify trading opportunities.
The general consensus is that oscillators alone are not sufficient for entries and should be evaluated together with multiple confirmations.
This oscillator is designed as an additional confirmation/compatible tool for strategies that already use higher time frame (HTF) sweeps and lower time frame (LTF) confirmations such as Change in State Delivery (CISD) or Change of Character (CHOCH).
Features:
While RSI oscillators are commonly displayed in line format (classic), this indicator also offers candlestick-style visualization.
Depending on the selected source, period length, and EMA length, RSI can be displayed as lines and/or candlesticks.
Divergence detection & tracking:
Price and RSI values are monitored on the chosen higher time frame (from the menu) to determine highs and lows. For divergence display, the user can choose between two modes:
1- Alignment with HTF Sweep
2- All
1 - Alignment with HTF Sweep:
First, the price must sweep the previous high/low of the candle on the HTF (i.e., break it) but fail to continue in that direction and return inside (sweep).
If this condition is met, RSI values are checked:
If price makes a high sweep but RSI fails to make a new high → divergence is confirmed.
If price makes a low sweep but RSI fails to make a new low → divergence is confirmed.
Divergence is then displayed on the chart.
2 - All:
In this mode, sweep conditions are ignored. Divergence is confirmed if:
Price makes a new high on HTF but RSI does not.
RSI makes a new high on HTF but price does not.
Price makes a new low on HTF but RSI does not.
RSI makes a new low on HTF but price does not.
Menu & Settings:
RSI visualization (source + period length + EMA period length)
Option to choose classic/candlestick style display
Color customization
Higher time frame selection
Adjustable HTF boxes and table display
Final notes:
This oscillator is designed as an additional confirmation tool for strategies based on HTF sweep + LTF CISD/CHOCH confirmation logic. The chosen HTF in the oscillator should match the time frame where sweeps are expected.
Divergence signals from this oscillator alone will not make you profitable.
For spot trades, monitoring sweeps and divergences on higher time frames is more suitable (e.g., Daily–H1 / Weekly–H4).
My personal usage preferences:
Entry TF: 3m
HTF bias: Daily + H1
Sweep + CISD: 30m / 3m
Market Structure: 3m
RSI divergence: HTF = 30m
If all of them align bullish or bearish ( timeframe alignment ), I try to take the trade.
I’d be glad to hear your feedback and suggestions for improvement.
Happy trading!
RSI Oscillator fxdealBased on the Pine Script code you provided, here is a detailed description of the indicator's features and functionality.
Indicator Overview
This is the Heikin Ashi RSI Oscillator (HARSI), a custom-built indicator for TradingView. It combines the principles of Heikin Ashi candles and the Relative Strength Index (RSI) to provide a smoothed, trend-focused oscillator in a separate pane below the main chart. The indicator visualizes trend strength, overbought/oversold conditions, and momentum changes using a series of configurable plots and lines.
Key Components and Features
Heikin Ashi RSI Candles: This is the core component. Instead of traditional price data, the indicator uses a custom Heikin Ashi calculation applied to the RSI values. This creates a smoothed, momentum-driven "candle" visualization that filters out market noise, making it easier to identify the direction and strength of the trend. The color of these candles changes to reflect bullish (teal) or bearish (red) momentum.
RSI Plot & Histogram: The indicator includes a standard RSI line plot and an optional histogram. The RSI can be displayed in "Smoothed Mode," which applies a Heikin Ashi-like smoothing to the RSI line itself to reduce volatility and improve trend identification. The histogram visually represents the RSI's value, with its height corresponding to the magnitude of the RSI.
Stochastic RSI: An optional Stochastic RSI is included to provide a different perspective on momentum. This is a "momentum of momentum" indicator that can be used for confirming trend changes or identifying overbought/oversold conditions within the RSI's own range. It can be plotted as either a ribbon (showing the K and D lines filled) or as individual lines.
Bollinger Bands (Stepline Style): The indicator overlays Bollinger Bands on the RSI. These bands adapt to the volatility of the RSI, providing dynamic overbought and oversold levels. The middle band is a simple moving average of the RSI. The upper and lower bands are plotted using a stepline style, giving them a distinct, staggered appearance.
Horizontal Lines: Several fixed horizontal lines are plotted to define key zones:
Overbought/Oversold (OB/OS) Zones: Customizable horizontal lines define overbought and oversold regions, with additional lines for "extreme" levels. These are based on the indicator's zero-median scale.
Traditional RSI Levels: Optional dotted horizontal lines at 70, 50, and 30 help users who are accustomed to traditional RSI readings quickly identify overbought, neutral, and oversold conditions.
Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA“Delta Pulse Oscillator visualizes buy vs. sell pressure using smoothed delta %, baselines, and crossover markers.”
📌 Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA
The Delta Pulse Oscillator is a custom-built momentum tool that measures the balance between buying and selling activity and smooths it with moving averages. It provides a visual representation of percentage delta strength with dynamic coloring, baseline levels, and crossover markers.
🔎 Key Features
Delta EMA (%) Line → Shows the smoothed percentage difference between simulated buy and sell volumes.
Signal EMA Line → A shorter EMA applied on Delta EMA to highlight momentum shifts.
Baseline Levels
0 line (neutral balance of buy/sell activity).
+5 baseline (stronger positive pressure).
-5 baseline (stronger negative pressure).
Dynamic Coloring → Green when Delta EMA is above zero, red when below.
Cross Dots
Yellow dots mark when Delta EMA or Signal EMA crosses the zero line.
Orange dots appear when Delta EMA crosses the +5 or –5 baselines.
Green/Red dots highlight when both EMAs stay above +5 or below –5.
Background Fills → Visual zones for positive and negative regions.
🧩 How It Can Be Used
Helps to visualize buying vs. selling pressure in real time.
Highlights when momentum is strengthening or weakening around defined baseline levels.
Useful as a confirmation tool when combined with other forms of analysis.
⚠️ Note: This script is for educational and analytical purposes only. It is not a trading strategy and does not provide buy/sell signals. Always use with additional tools, price action, and proper risk management.
Dual Stochastic with Trend FilterThe "Dual Stochastic with Trend Filter" is an oscillator indicator designed to provide clearer, trend-aligned trading signals. It uses two distinct stochastic oscillators to identify potential entry points and incorporates an optional EMA-based trend filter to ensure that you are trading in the direction of the broader market momentum.
How It Works and How to Use It
This indicator combines two key technical analysis concepts: momentum (via stochastics) and trend (via moving averages).
Core Components:
Dual Stochastic Oscillators:
Signal Line 1 (Blue): A standard stochastic oscillator.
Signal Line 2 (Red): A second stochastic oscillator, often using a different source (like hlcc4) to provide a smoother, more reliable signal.
A buy signal is generated when the Blue Line (d1) crosses above the Red Line (d2).
A sell signal is generated when the Blue Line (d1) crosses below the Red Line (d2).
Trend Filter (Optional):
This feature uses a fast and a slow Exponential Moving Average (EMA) to determine the overall market trend.
When the fast EMA is above the slow EMA, the background will turn green, indicating an uptrend.
When the fast EMA is below the slow EMA, the background will turn red, indicating a downtrend.
This filter can be toggled on or off in the indicator settings.
How to Use:
With Trend Filter Enabled (Recommended):
Long (Buy) Entry: Look for a green triangle buy signal (▲). This signal only appears when:
The Blue Signal Line crosses above the Red Signal Line.
The market is in a confirmed uptrend (green background).
Short (Sell) Entry: Look for a red triangle sell signal (▼). This signal only appears when:
The Blue Signal Line crosses below the Red Signal Line.
The market is in a confirmed downtrend (red background).
Exit Signal:
A yellow circle (●) appears to suggest closing an open trade. This signal is triggered for a long position if either the stochastics have a bearish cross or the trend flips to a downtrend. Conversely, for a short position, it's triggered by a bullish stochastic cross or a trend flip to an uptrend.
With Trend Filter Disabled:
If you turn off the "Use Trend Filter" option, the indicator will function as a simple dual stochastic crossover system.
A green triangle (▲) will appear every time the Blue Line crosses above the Red Line.
A red triangle (▼) will appear every time the Blue Line crosses below the Red Line.
The background coloring and exit signals based on trend flips will be deactivated. This mode is more sensitive but may produce more false signals in choppy markets.
Key Visuals:
Blue Line: The primary signal line.
Red Line: The secondary, often smoother, signal line.
Green Triangle (▲): Bullish entry signal.
Red Triangle (▼): Bearish entry signal.
Yellow Circle (●): Suggested trade exit/stop.
Green/Red Background: Visual confirmation of the current uptrend or downtrend.
By filtering stochastic signals with the dominant trend, this indicator helps traders avoid common pitfalls like entering short positions during a strong uptrend or buying into a bearish market. This alignment of momentum and trend is key to improving signal quality.
Disclaimer
This indicator is provided for educational and informational purposes only and should not be considered as financial advice or a recommendation to buy or sell any asset. All trading and investment decisions are your own sole responsibility.
Trading financial markets involves a high level of risk, and you may lose more than your initial investment. Past performance is not indicative of future results. The signals generated by this indicator are not guaranteed to be accurate, and you should always use this tool in conjunction with other forms of analysis and sound risk management practices.
Before using this indicator in a live trading environment, it is strongly recommended that you backtest it thoroughly and practice with it on a demo account. The author is not responsible for any financial losses you may incur from using this script.
MO and Stoch GOLD H4 Full – Kim TradingMO and Stoch GOLD H4 Full – Kim Trading
Slogan: “Trading Is a Profession, Trading Is Life”
Market: XAUUSD • Timeframe: H4
Regime Gate (strong-trend filter) – turn on to suppress noise during strong trends; trade-off: you may miss some opportunities.
Cut & Reverse – use when you prefer to disable the strong-trend filter and react fast (cut the losing side and reverse with the new signal).
Entry/Exit Rules. When B/B1★/B2★/B3★ (buy) or S/S1★/S2★/S3★ (sell) labels appear, follow the prevailing trend and consider DCA (scale-in) with the trend. Combine with other confluences (levels, candlesticks, volume, timing) to form an optimal setup.
Signal Confidence Tiers:
B — S
B1★ — S1★
B2★ — S2★
B3★ — S3★
Enter only when one of the four labels appears. Use Alerts → Once Per Bar Close.
Notes. Educational tool, not financial advice. Source code remains Protected.
Author: Kim Trading • Version: V1 • Date: 2025-08-25
#XAUUSD #Gold #H4 #MO #Stoch #KimTrading
DK RSI [NMTUAN]The RSI Lines in RSI DK
A basic RSI DK indicator typically consists of the following components:
The Main RSI Line: Usually set to a period of 14, this is the most common line for most traders. It provides an overall view of market momentum.
The Short-Term RSI Line: Usually set to a period of 7, 5, or even 3. This line moves faster and is more sensitive to short-term fluctuations. It can be used to identify early entry/exit points.
The Long-Term RSI Line: Typically set to a period of 21, 28, or 30. This line moves more slowly, providing a stable view of the long-term trend. It helps filter out "noise" and confirm the main trend.
How to Use RSI DK
Combining multiple RSI lines offers several advantages:
Signal Confirmation: When different RSI lines confirm a signal (e.g., all are in the overbought or oversold zone), the reliability of that signal increases significantly.
Divergence: This is one of the strongest signals of the RSI. With RSI DK, traders can easily spot potential divergence signals when a short-term RSI line diverges from price, while the long-term RSI line is still confirming the trend.
Crossovers: Similar to other momentum indicators, crossovers between RSI lines in RSI DK are also very useful. For example, when the short-term RSI line crosses above the long-term one, it could be a signal that upward momentum is gaining strength.
Multi-Timeframe Analysis: RSI DK lets you analyze momentum across different timeframes right on one chart, which saves time and improves analysis efficiency.
MO and Stoch GOLD H4 V1 – Kim Trading (with Regime Gate ML)MO and Stoch GOLD H4 – Kim Trading (with Regime Gate ML)
Slogan: “Trading Is a Profession, Trading Is Life”
Market: XAUUSD (spot gold) • Timeframe: H4 (4 hours)
Overview. The script combines a Momentum Oscillator (MO) cross with Stochastic RSI context and evaluates signals on bar close to reduce repaint. An optional Regime Gate (ML) filter classifies market conditions (e.g., strong-trend vs. choppy) from historical patterns to suppress counter-trend noise and highlight powerful waves.
Entry/Exit Rules
When a B, B1★ … (buy) or S, S1★ … (sell) label appears, first reference the prevailing trend and consider applying DCA (scale-in) in the direction of that trend. You’re encouraged to combine this tool with other methods (price levels, candlesticks, volume/timing) to build an optimal setup.
Signal Confidence Tiers
B — S
B1★ — S1★
B2★ — S2★
B3★ — S3★
Enter trades only when one of the four signal types above is printed.
Notes. Use Once Per Bar Close alerts. This is an educational tool and not financial advice. Source code remains protected.
Author: Kim Trading • Version: V1 • Date: 2025-08-25
#XAUUSD #Gold #H4 #MO #Stoch #KimTrading
