Round Number Analyzer v3Round Number Analyzer v3 is an indicator designed to analyze how price interacts with round number levels (levels spaced at fixed intervals in points or pips).
The indicator does not generate entry/exit signals, but provides detailed statistics to better understand market dynamics around these key levels.
✨ Key Features
Cross Counting: detects every time the price crosses a round number level (up = Long, down = Short).
Continuations & Reversals: classifies each cross as:
Continuation: the move continues in the same direction as the previous sequence.
Reversal: the move changes direction compared to the previous sequence.
Sequence Classification (L1…L5+): each level is labelled based on its position within the consecutive cross sequence:
L1 = first level of the sequence,
L2 = second consecutive,
…
L5+ = fifth or higher.
Comprehensive Stats Table (top right corner):
Total crosses (Long, Short, Totals).
Total continuations + breakdown by L1…L5+.
Total reversals + breakdown by L1…L5+.
Percentages calculated against the proper denominator, displayed directly inside the cells next to the absolute values.
Date range of analysis (user-defined).
Customizable Step: Works in both points and pips, making the indicator suitable for indices and forex.
⚙️ Main Inputs
Start date / End date → sets the analysis period.
Step mode → Points or Pips.
Step value → distance between round levels.
Pip size → pip size (default = 0.0001, typical for forex).
📈 How to Interpret
A high continuation percentage after L1–L2 suggests the market tends to extend multiple times beyond the first breakout levels.
Higher reversal percentages at advanced levels (L4–L5+) may signal trend exhaustion.
The analysis helps estimate the probability of continuation or reversal depending on how many consecutive levels have already been crossed.
🔎 Practical Applications
Support for breakout or mean-reversion strategies.
Comparative analysis across different markets (e.g. indices vs forex) or different time periods.
📝 Notes
The indicator is timeframe-robust, as it accounts for multiple steps within the same candle, ensuring results do not depend on the selected timeframe (except for TradingView’s historical data limits).
It does not provide automatic trading signals, but serves as a quantitative analysis tool to refine your strategies.
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Round Number Analyzer v3 è un indicatore pensato per analizzare come il prezzo interagisce con i livelli di round number (livelli a distanza fissa in punti o pips).
L’indicatore non genera segnali di ingresso/uscita, ma fornisce statistiche dettagliate utili per comprendere la dinamica del mercato attorno a questi livelli.
✨ Funzionalità principali
Conteggio dei Cross: rileva ogni volta che il prezzo attraversa un livello round (verso l’alto = Long, verso il basso = Short).
Continuations & Reversals: classifica ogni attraversamento come:
Continuation: il movimento prosegue nella stessa direzione della sequenza precedente.
Reversal: il movimento inverte la direzione rispetto alla sequenza precedente.
Classificazione per sequenza (L1…L5+): ogni livello è etichettato in base alla sua posizione nella sequenza di cross consecutivi:
L1 = primo livello della sequenza,
L2 = secondo consecutivo,
…
L5+ = quinto o superiore.
Statistiche complete in tabella (in alto a destra):
Cross totali (Long, Short, Totals).
Continuations totali + breakdown per L1…L5+.
Reversals totali + breakdown per L1…L5+.
Percentuali calcolate sul denominatore corretto, mostrate direttamente dentro le celle accanto ai valori assoluti.
Date range di analisi (impostabile dall’utente).
Step personalizzabile: puoi lavorare sia in punti che in pips, così l’indicatore è adatto sia per indici che per forex.
⚙️ Input principali
Start date / End date → imposta l’intervallo temporale di analisi.
Step mode → punti o pips.
Step value → ampiezza tra i livelli round.
Pip size → dimensione del pip (default = 0.0001, tipico per il forex).
📈 Come interpretarlo
Una percentuale di continuation molto alta dopo L1–L2 indica che il mercato tende a proseguire più volte oltre i primi livelli di breakout.
Percentuali di reversal più elevate nei livelli avanzati (L4–L5+) possono suggerire esaurimento della spinta.
L’analisi permette di stimare la probabilità che un movimento in corso continui o si inverta in base a quanti livelli sono già stati attraversati consecutivamente.
🔎 Applicazioni pratiche
Supporto per strategie di breakout o mean reversion.
Analisi comparativa tra mercati (es. indici vs forex) o tra periodi temporali diversi.
📝 Note
L’indicatore è timeframe-robust: il conteggio tiene conto di multipli step dentro la stessa candela, così i risultati non dipendono dal timeframe scelto (salvo i limiti di caricamento storico di TradingView).
Non fornisce segnali operativi automatici, ma è un tool di analisi quantitativa per affinare le proprie strategie.
Ketidakstabilan
Equinivesh : TR, ATR, DATR Combined BY ANUPAM ANAND Equinivesh: TR, ATR, DATR Combined BY ANUPAM ANAND
3 Red Heikin Ashi with Higher Lows3 Red Heikin Ashi with Higher Lows will give Buy signal when 3 Red Heikin Ashi with Higher Lows is formed
Value Spectrum | OquantOverview
The Value Spectrum is an indicator designed to provide traders with a visual and quantitative assessment of price positioning relative to a dynamic baseline, helping to identify potential value zones, overextensions, and fair value conditions in various market environments. It builds on traditional volatility envelope concepts but introduces multi-tiered bands with customizable smoothing and a spectrum-based classification system to offer a more nuanced view of market conditions. This allows traders to quickly gauge where price stands in its "value spectrum" without relying solely on binary overbought/oversold signals.
Key Factors/Components
Baseline: A selectable moving average that serves as the central reference point for the envelope.
Volatility Measure: Derived from standard deviation, with optional smoothing to reduce noise in choppy markets.
Multi-Level Bands: Six upper and lower bands are incremented with steps of 0.5x, creating a graduated spectrum rather than fixed thresholds.
Value Classification: A table that categorizes the current price position into distinct levels, such as fair value, oversold, or overbought, for at-a-glance analysis.
How It Works
The indicator calculates a baseline using the chosen moving average type applied to the selected source (e.g., close price). It then measures volatility through standard deviation over a specified length, which can be smoothed using methods like median or other averages to adapt to market noise. Bands are constructed by adding and subtracting multiples of this volatility from the baseline, forming a series of widening zones. Price is evaluated against these zones to determine its position in the spectrum—closer to the baseline suggests fair value, while farther out indicates increasing degrees of extension. The visual fills between bands use gradient transparency to highlight the progression, and the table updates in real-time to label the current state based on where price falls.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for swing traders, and mean-reversion strategists who need to assess relative value mainly in ranging markets. Recommended use cases include:
Identifying entry points in oversold/overbought conditions.
Confirming fair value zones for holding positions or scaling in.
Monitoring extreme extensions as potential reversal warnings.
Settings and Default Settings
Source: Defines the input data series (default: close).
Select MA for Baseline: Choose from options like SMA, EMA, ALMA, HMA, WMA, LSMA, DEMA, TEMA, SMMA(RMA), FRAMA, ZLEMA, T3, VWMA, TRIMA (default: DEMA).
MA Length: Period for the baseline calculation (default: 30).
Alma Offset: Adjusts the offset for ALMA if selected (default: 0.85).
Alma Sigma: Sets the sigma for ALMA if selected (default: 4).
T3 Vol Factor: Volume factor for T3 if selected (default: 0.7).
SD Length: Period for volatility calculation (default: 21).
Smooth Volatility: Enables/disables volatility smoothing (default: false).
Select Volatility Smoothing Method: Options include MEDIAN, SMA, EMA, DEMA, WMA (default: MEDIAN).
Volatility Smoothing Length: Period for smoothing volatility if enabled (default: 20).
Show Table: Toggles the display of the value classification table (default: true).
Conclusion
The Value Spectrum offers a flexible and insightful way to visualize price in context, empowering traders to make informed decisions based on a structured assessment of market value. By customizing the baseline and volatility components, it adapts to different trading styles and assets, providing clarity in different conditions.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Median EMA IQR Bands | OquantOverview
The Median EMA IQR Bands indicator introduces a robust trend-following tool that combines a median-filtered exponential moving average (EMA) with interquartile range (IQR) based bands to identify potential entry and exit points for long and short positions. This approach aims to reduce noise in traditional EMAs while incorporating a statistical measure of volatility to create adaptive bands. Unlike standard moving average crossovers or Bollinger Bands, this indicator uses median filtering on the EMA and IQR for band construction, which can help in filtering outliers and providing a more stable view of market trends. It also includes built-in performance metrics displayed in tables, allowing users to evaluate the indicator's historical behavior against buy-and-hold benchmarks directly on the chart(remember past performance doesn’t guarantee future results).
Key Factors/Components
Median-Filtered EMA: A core trend line derived from an EMA that is further smoothed using a median calculation to minimize the impact of extreme price movements.
IQR Bands: Upper and lower bands built around the median EMA using the interquartile range, multiplied by a user-defined factor, to capture volatility without assuming a normal distribution like standard deviation-based methods.
Signal Generation: Simple conditions for long (price above upper band) and short (price below lower band) allocations, with options to enable/disable longs or shorts.
Performance Metrics: Tables showing risk-adjusted metrics such as Sharpe, Sortino, Omega ratios, max drawdown, intra-trade max drawdown, percent profitable trades, profit factor, total trades, and net profit for the indicator's simulated equity curve, compared to buy-and-hold.
Equity Curve Plot: Optional plotting of a simulated equity curve based on the indicator's allocations.
Visual Elements: Color-coded plots, fills, and bar coloring for clear signal visualization(green for bullish and purple for bearish.
How It Works
The indicator starts by calculating a standard EMA on the selected source (default close price), then applies a median filter over a specified length to create the central trend line. This helps in reducing whipsaws common in volatile markets. Separately, it computes the IQR from recent price data as a non-parametric measure of spread, which is then scaled by a multiplier and added/subtracted from the median EMA to form the upper and lower bands. Allocations shift to long when price closes above the upper band (if longs are enabled), to short when below the lower band (if shorts are enabled), or to cash otherwise(For example if it’s bearish signal but shorts are disabled then it will be cash). The equity curve and metrics are derived from these allocations, simulating returns while accounting for user preferences on position types. This logic emphasizes trend persistence filtered through statistical robustness, but users should note it may cause false signals in ranging markets and perform better in trending conditions.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for trend-following traders or investors who prefer statistical, outlier-resistant methods over traditional indicators. It is recommended for:
Intermediate to advanced users analyzing cryptocurrencies on daily or other timeframes.
Those incorporating it into broader systems.
Risk-averse traders who value drawdown insights and adjustable band sensitivity for customizing to specific assets. It is not ideal for high-frequency trading or very short-term scalping.
Settings and Default Settings
Start Date: Timestamp for when metrics and equity calculations begin (default: 1 Jan 2018).
Source: Price source for calculations (default: close).
EMA Length: Period for the underlying EMA (default: 30).
Median Length: Window for median filtering on the EMA (default: 20).
Interquartile Range Length: Period for IQR calculation (default: 20).
Band Multiplier: Factor to scale the IQR for bands (default: 1.2).
Allow Long Trades: Enable long positions (default: true); if false, defaults to cash.
Allow Shorts: Enable short positions (default: false); if false, defaults to cash.
Show Indicator Metrics Table: Display the performance table (default: true).
Show Buy&Hold Table: Display benchmark table (default: true).
Plot Equity Curve: Show simulated equity line (default: false).
These defaults are tuned for general use on daily charts, but users should adjust based on asset volatility—e.g., increase multiplier for tighter bands in low-vol environments.
Conclusion
The Median EMA IQR Bands offers a fresh take on trend detection by blending median smoothing with IQR volatility measures, providing traders with a tool that prioritizes stability and insightful metrics(remember past performance doesn’t guarantee future results). It encourages informed decision-making through transparent performance visuals(remember past performance doesn’t guarantee future results), making it a valuable addition for those looking to enhance their technical analysis toolkit.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Sessions [Trade Tribe HQ]Color-coded session ranges with ADR% labels to help you trade smarter, not harder.
This tool marks New York, London, Tokyo, and Sydney sessions, showing their ranges, highs/lows, VWAPs, and ADR%.
🔹 Key Features
Colored session boxes (NY, London, Tokyo, Sydney)
Session highs & lows, VWAP, and trendlines
Dashboard showing active sessions, volume, and %ADR
ADR% labels at session close
🔹 How It Helps
Spot session traps, moves, and reversals faster
Manage expectations using ADR% (no chasing over-extended moves)
Identify overlap zones (London → NY) for volatility spikes
Simplify cycle tracking across global markets
Market Sessions Marker—making it easy to see where the energy has been spent and where opportunity is building next.
Created with ❤️ by TraderChick – part of the Trade Tribe HQ community.
If you found this tool useful, check out my profile for more strategies, classes, and resources.
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions.
🔶 Advanced Statistical Framework
Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes.
🔶 Dual Ratio Integration System
Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes.
// Omega Ratio Calculation
Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period)
Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period)
Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na
// Sortino Ratio Framework
Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period)
Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor)
// Aggregated Score
Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA)
🔶 Dynamic Band Calculation Engine
Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic.
🔶 Signal Generation Framework
Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment.
🔶 Enhanced Visual Architecture
Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels.
snapshot
🔶 Risk-Adjusted Performance Analysis
Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally.
🔶 Multi-Timeframe Adaptability
Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations.
🔶 Performance Optimization Framework
Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods.
This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
John Bollinger's Bollinger BandsJapanese below / 日本語説明は下記
This indicator replicates how John Bollinger, the inventor of Bollinger Bands, uses Bollinger Bands, displaying Bollinger Bands, %B and Bandwidth in one indicator with alerts and signals.
Bollinger Bands is created by John Bollinger in 1980s who is an American financial trader and analyst. He introduced %B and Bandwidth 30 years later.
🟦 What's different from other Bollinger Bands indicator?
Unlike the default Bollinger Bands or other custom Bollinger Bands indicators on TradingView, this indicator enables to display three Bollinger Bands tools into a single indicator with signals and alerts capability.
You can plot the classic Bollinger Bands together with either %B or Bandwidth or three tools altogether which requires the specific setting(see below settings).
This makes it easy to quantitatively monitor volatility changes and price position in relation to Bollinger Bands in one place.
🟦 Features:
Plots Bollinger Bands (Upper, Basis, Lower) with fill between bands.
Option to display %B or Bandwidth with Bollinger Bands.
Plots highest and lowest Bandwidth levels over a customizable lookback period.
Adds visual markers when Bandwidth reaches its highest (Bulge) or lowest (Squeeze) value.
Includes ready-to-use alert conditions for Bulge and Squeeze events.
📈Chart
Green triangles and red triangles in the bottom chart mark Bulges and Squeezes respectively.
🟦 Settings:
Length: Number of bars used for Bollinger Band middleline calculation.
Basis MA Type: Choose SMA, EMA, SMMA (RMA), WMA, or VWMA for the midline.
StdDev: Standard deviation multiplier (default = 2.0).
Option: Select "Bandwidth" or "%B" (add the indicator twice if you want to display both).
Period for Squeeze and Bulge: Lookback period for detecting the highest and lowest Bandwidth levels.(default = 125 as specified by John Bollinger )
Style Settings: Colors, line thickness, and transparency can be customized.
📈Chart
The chart below shows an example of three Bollinger Bands tools: Bollinger Band, %B and Bandwidth are in display.
To do this, you need to add this indicator TWICE where you select %B from Option in the first addition of this indicator and Bandwidth from Option in the second addition.
🟦 Usage:
🟠Monitor Volatility:
Watch Bandwidth values to spot volatility contractions (Squeeze) and expansions (Bulge) that often precede strong price moves.
John Bollinger defines Squeeze and Bulge as follows;
Squeeze:
The lowest bandwidth in the past 125 period, where trend is born.
Bulge:
The highest bandwidth in the past 125 period where trend is going to die.
According to John Bollinger, this 125 period can be used in any timeframe.
📈Chart1
Example of Squeeze
You can see uptrends start after squeeze(red triangles)
📈Chart2
Example of Bulge
You can see the trend reversal from downtrend to uptrends at the bulge(green triangles)
📈Chart3
Bulge DOES NOT NECESSARILY mean the beginning of a trend in opposite direction.
For example, you can see a bulge happening in the right side of the chart where green triangles are marked. Nevertheless, uptrend still continues after the bulge.
In this case, the bulge marks the beginning of a consolidation which lead to the continuation of the trend. It means that a phase of the trend highlighted in the light blue box came to an end.
Note: light blue box is not drawn by the indicator.
Like other technical analysis methods or tools, these setups do not guarantee birth of new trends and trend reversals. Traders should be carefully observing these setups along with other factors for making decisions.
🟠Track Price Position:
Use %B to see where price is located in relation to the Bollinger Bands.
If %B is close to 1, the price is near upper band while %B is close to 0, the price is near lower band.
🟠Set Alerts:
Receive alerts when Bandwidth hits highest and lowest values of bandwidth, helping you prepare for potential breakout, ending of trends and trend reversal opportunities.
🟠Combine with Other Tools:
This indicator would work best when combined with price action, trend analysis, or
market environmental analysis.
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このインジケーターはボリンジャーバンドの考案者であるジョン・ボリンジャー氏が提唱するボリンジャーバンドの使い方を再現するために、ボリンジャーバンド、%B、バンドウィズ(Bandwidth) の3つを1つのインジケーターで表示可能にしたものです。シグナルやアラートにも対応しています。
ボリンジャーバンドは1980年代にアメリカ人トレーダー兼アナリストのジョン・ボリンジャー氏によって開発されました。彼はその30年後に%Bとバンドウィズを導入しました。
🟦 他のボリンジャーバンドとの違い
TradingView標準のボリンジャーバンドや他のボリンジャーバンドとは異なり、このインジケーターでは3つのボリンジャーバンドツールを1つのインジケーターで表示し、シグナルやアラート機能も利用できるようになっています。
一般的に知られている通常のボリンジャーバンドに加え、%Bやバンドウィズを組み合わせて表示でき、設定次第では3つすべてを同時にモニターすることも可能です。これにより、価格とボリンジャーバンドの位置関係とボラティリティ変化をひと目で、かつ定量的に把握することができます。
🟦 機能:
ボリンジャーバンド（アッパーバンド・基準線・ロワーバンド）を描画し、バンド間を塗りつぶし表示。
オプションで%Bまたはバンドウィズを追加表示可能。
バンドウィズの最高値・最安値を、任意の期間で検出して表示。
バンドウィズが指定期間の最高値（バルジ※）または最安値（スクイーズ）に達した際にシグナルを表示。
※バルジは一般的にボリンジャーバンドで用いられるエクスパンションとほぼ同じ意味ですが、定義が異なります。(下記参照)
バルジおよびスクイーズ発生時のアラート設定が可能。
📈 チャート例
下記チャートの緑の三角と赤の三角は、それぞれバルジとスクイーズを示しています。
🟦 設定:
Length: ボリンジャーバンドの基準線計算に使う期間。
Basis MA Type: SMA, EMA, SMMA (RMA), WMA, VWMAから選択可能。
StdDev: 標準偏差の乗数（デフォルト2.0）。
Option: 「Bandwidth」または「%B」を選択（両方表示するにはこのインジケーターを2回追加）。
Period for Squeeze and Bulge: Bandwidthの最高値・最安値を検出する期間（デフォルトはジョン・ボリンジャー氏が推奨する125）。
Style Settings: 色、線の太さ、透明度などをカスタマイズ可能。
📈 チャート例
下のチャートは「ボリンジャーバンド」「%B」「バンドウィズ」の3つを同時に表示した例です。
この場合、インジケーターを2回追加し、最初に追加した方ではOptionを「%B」に、次に追加した方では「Bandwidth」を選択します。
🟦 使い方:
🟠 ボラティリティを監視する:
バンドウィズの値を見ることで、価格変動の収縮（スクイーズ）や拡大（バルジ）を確認できます。
これらはしばしば強い値動きの前兆となります。
ジョン・ボリンジャー氏はスクイーズとバルジを次のように定義しています：
スクイーズ: 過去125期間の中で最も低いバンドウィズ→ 新しいトレンドが生まれる場所。
バルジ: 過去125期間の中で最も高いバンドウィズ → トレンドが終わりを迎える場所。
この「125期間」はどのタイムフレームでも利用可能とされています。
📈 チャート1
スクイーズの例
赤い三角のスクイーズの後に上昇トレンドが始まっているのが確認できます。
📈 チャート2
バルジの例
緑の三角のバルジの箇所で下降トレンドから上昇トレンドへの反転が見られます。
📈 チャート3
バルジが必ずしも反転を意味しない例
下記のチャート右側の緑の三角で示されたバルジの後も、上昇トレンドが継続しています。
この場合、バルジは反転ではなく「トレンド一時的な調整（レンジ入り）」を示しており、結果的に上昇トレンドが継続しています。
この場合、バルジは水色のボックスで示されたトレンドのフェーズの終わりを示しています。
※水色のボックスはインジケーターが描画したものではありません。
また、他のテクニカル分析と同様に、これらのセットアップは必ず新しいトレンドの発生やトレンド転換を保証するものではありません。トレーダーは他の要素も考慮し、慎重に意思決定する必要があります。
🟠 価格とボリンジャーバンドの位置関係を確認する:
%Bを利用すれば、価格がバンドのどこに位置しているかを簡単に把握できます。
%Bが1に近ければ価格はアッパーバンド付近、0に近ければロワーバンド付近にあります。
🟠 アラートを設定する:
バンドウィズが一定期間の最高値または最安値に到達した際にアラートを設定することで、ブレイクアウトやトレンド終了、反転の可能性に備えることができます。
🟠 他のツールと組み合わせる:
このインジケーターは、プライスアクション、トレンド分析、環境認識などと組み合わせて活用すると最も効果的です。
Delta Bubbles by exp3rtsDelta Bubbles is a powerful volume-based order flow tool that detects aggressive market activity, highlights trapped traders, and visualizes key liquidity zones on your chart — perfect for scalpers, intraday traders, and anyone trading momentum or reversals.
🧠 What It Does:
📈 Buy/Sell Bubbles: Detects aggressive buying/selling pressure using a volume delta approximation.
🟩 Trap Zones: Highlights areas where traders likely got trapped (buying in downtrends or selling in uptrends).
⚠️ Potential Traps: Shows lighter “setup” zones for trades that may become traps.
🟥🟩 Colored Bars: Optional trend coloring for visual clarity (based on 50 EMA).
📉 Zone Liquidation: Automatically removes zones once price revisits them.
🧩 Customizable Settings:
Bubble sensitivity and size thresholds.
Trap zone width and minimum bubble size.
Toggle trap liquidation, potential zones, colored bars, and bubble visibility.
📌 How to Use It:
Look for trap zones forming against the trend (e.g., bearish bubble in an uptrend → green trap zone).
Watch for retests of zones — these can be key levels for fades or breakouts.
Combine with price action, support/resistance, VWAP, or other confluence tools.
🚀 Best For:
Scalping and reversal trading on intraday timeframes (5m, 15m).
Futures, indices (e.g., NASDAQ, S&P 500), crypto, or any liquid market.
Fisher Transform Trend Navigator [QuantAlgo]🟢 Overview
The Fisher Transform Trend Navigator applies a logarithmic transformation to normalize price data into a Gaussian distribution, then combines this with volatility-adaptive thresholds to create a trend detection system. This mathematical approach helps traders identify high-probability trend changes and reversal points while filtering market noise in the ever-changing volatility conditions.
🟢 How It Works
The indicator's foundation begins with price normalization, where recent price action is scaled to a bounded range between -1 and +1:
highestHigh = ta.highest(priceSource, fisherPeriod)
lowestLow = ta.lowest(priceSource, fisherPeriod)
value1 = highestHigh != lowestLow ? 2 * (priceSource - lowestLow) / (highestHigh - lowestLow) - 1 : 0
value1 := math.max(-0.999, math.min(0.999, value1))
This normalized value then passes through the Fisher Transform calculation, which applies a logarithmic function to convert the data into a Gaussian normal distribution that naturally amplifies price extremes and turning points:
fisherTransform = 0.5 * math.log((1 + value1) / (1 - value1))
smoothedFisher = ta.ema(fisherTransform, fisherSmoothing)
The smoothed Fisher signal is then integrated with an exponential moving average to create a hybrid trend line that balances statistical precision with price-following behavior:
baseTrend = ta.ema(close, basePeriod)
fisherAdjustment = smoothedFisher * fisherSensitivity * close
fisherTrend = baseTrend + fisherAdjustment
To filter out false signals and adapt to market conditions, the system calculates dynamic threshold bands using volatility measurements:
dynamicRange = ta.atr(volatilityPeriod)
threshold = dynamicRange * volatilityMultiplier
upperThreshold = fisherTrend + threshold
lowerThreshold = fisherTrend - threshold
When price momentum pushes through these thresholds, the trend line locks onto the new level and maintains direction until the opposite threshold is breached:
if upperThreshold < trendLine
trendLine := upperThreshold
if lowerThreshold > trendLine
trendLine := lowerThreshold
🟢 Signal Interpretation
Bullish Candles (Green): indicate normalized price distribution favoring bulls with sustained buying momentum = Long/Buy opportunities
Bearish Candles (Red): indicate normalized price distribution favoring bears with sustained selling pressure = Short/Sell opportunities
Upper Band Zone: Area above middle level indicating statistically elevated trend strength with potential overbought conditions approaching mean reversion zones
Lower Band Zone: Area below middle level indicating statistically depressed trend strength with potential oversold conditions approaching mean reversion zones
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant developments without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency and clarity
Configuration Presets: Three parameter sets available - Default (balanced settings), Scalping (faster response with higher sensitivity), and Swing Trading (slower response with enhanced smoothing)
Color Customization: Four color schemes including Classic, Aqua, Cosmic, and Custom options for personalized chart aesthetics
FEI: Futures Entry Identifier📘 FEI: Futures Entry Identifier
FEI is a modular, futures-grade entry engine designed for precision trading across GC1!, MNQ1!, ES1!, and related contracts. It combines manual SVP structure, CHoCH detection, and Colby-style candle strength filters to identify high-probability long and short entries.
🔧 Features
• Manual SVP inputs (VAH, VAL, POC)
• Symbol-aware filters for micro vs standard contracts
• Multi-timeframe signal logic (3m, 5m, 10m, 15m, 30m)
• CHoCH detection with optional engulfing filter (default off)
• FRVP entry zone plotting after CHoCH confirmation
• Candle coloring on CHoCH trigger
• Session-aware logic (ETH default, optional RTH-only)
• Narratable visuals and audit-safe alerts
🧭 How to Use
1. Input VAH, VAL, and POC manually
2. Select signal timeframe (e.g. 3m or 5m)
3. Watch for CHoCH (white candle = structural shift)
4. Entry line plots at top/bottom of recent range
5. Long/short markers appear when SVP + candle strength align
6. Toggle RTH-only mode if needed
🌟 Why It’s Unique
FEI is built for traders who demand clarity, structure, and precision. Every signal is narratable, audit-safe, and resolution-aware—ideal for futures overlays and sniper-grade entries.
Candles de Agressão (by Lucas Vasquez)Indicator created to assist in the identification of aggressive candles, both buyer and seller. Thus, enabling decision making with high probability.
Fixed-Range Volume-Profile ZonesFixed Range Volume Profile Zones (with Dynamic Percentile Buffers)
This indicator calculates a fixed‑range volume profile over a user‑defined lookback period and identifies three key zones:
– VAL (Value Area Low)
– POC (Point of Control)
– VAH (Value Area High)
Volume is grouped into user‑selected price bins to create a profile of where the most trading activity occurred.
The script then splits the distribution into three zones and highlights the extremes (VAL/VAH) and the highest‑volume price (POC).
Dynamic Percentile Buffers
Instead of static offsets, this version computes the 10th and 90th percentile prices (user‑adjustable) of recent closes over the same lookback window.
These percentiles are used to create adaptive buffers above VAH and below VAL.
The buffers automatically expand or contract with market volatility and recent price distribution, filtering out weak or noisy touches.
Visual Elements:
– Green/orange/red horizontal lines = VAL / VAH / POC
– Green shading below VAL = buy zone
– Red shading above VAH = sell zone
– Down arrows above bars = closes above VAH + buffer
– Up arrows below bars = closes below VAL – buffer
Inputs:
– Lookback Days: number of bars used to build the profile
– Number of Bins: controls resolution of the volume profile
– VAH Percentile and VAL Percentile: choose which percentile levels to use for dynamic buffers
Use Cases:
– Quickly identify areas of high participation (POC) and potential support/resistance (VAL/VAH)
– Filter out weak breakouts using dynamic buffers
– Combine with other signals to improve entries/exits
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Past performance or historical data does not guarantee future results.
Always perform your own analysis and use risk management when trading.
ICT Macros - CorrigéThis indicator is designed to help traders apply the concepts of ICT (Inner Circle Trader) by providing a clear and accurate visualization of market macros directly on the chart. Instead of manually drawing levels or constantly switching between timeframes, the indicator automatically highlights the key reference points that form the backbone of ICT analysis.
Key Features:
Automatic Macro Visualization: identifies and displays market macros as defined in ICT concepts, making it easier to recognize institutional levels.
Timeframe Flexibility: adapts to different chart periods, allowing traders to align intraday setups with higher timeframe structures.
Clean and Efficient Display: focuses only on the most relevant information, avoiding clutter and making the chart more readable.
Strategic Decision Support: provides essential context for ICT-based strategies, including identifying market direction, liquidity pools, and potential reversal zones.
Why Use It?
This indicator is built for traders who follow ICT methodology and want a reliable tool to instantly spot macro structure without wasting time on repetitive manual work. By combining precision with clarity, it enhances situational awareness and supports better decision-making in both intraday and swing trading.
SEVENX|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
Stella Edge｜SuperFundedStella Edge — Quick Guide
What it is
Stella Edge is a higher-timeframe (HTF) EMA + ATR channel with adaptive zones, a volatility hazard filter, and clean entry/exit cues. It projects an HTF EMA with ATR bands, paints a calm-to-active “aurora” background using normalized ATR, and marks:
・Long cue when price crosses up into/through the lower band (potential buy zone).
・Short cue when price crosses down into/through the upper band (potential sell zone).
・Take-profit star when price crosses back through the HTF EMA against your active direction.
・Skull marker on extreme volatility bars (ATR & Volume spikes) to warn of unstable conditions.
Why this is not a simple mashup
・HTF regime first: Instead of reacting to local noise, entries are contextualized by an HTF EMA±ATR envelope (request.security) that frames price with structural zones (upper = supply bias, lower = demand bias).
・Risk-aware gating: A dual-threshold volatility filter flags bars where true range and volume spike far above their baselines—conditions that often degrade signal quality.
・Signal hygiene: Cross checks use band values from the prior bar to reduce duplicate/ambiguous triggers when HTF data updates, yielding cleaner, fewer, higher-quality icons.
・Visual cognition: The aurora background blends two night tones by the percent-rank of HTF ATR, so your eye immediately senses regime intensity without reading numbers.
How it works (concise)
1. Pull HTF EMA(len) and HTF ATR(len) via request.security.
2. Compute upper/lower bands = EMA ± ATR×multiplier (projected continuously).
3. Aurora mode: Normalize HTF ATR by 200-bar percent-rank and map it to a calm→active gradient for background.
4. Signals
・Long when close crosses up the lowerBand .
・Short when close crosses down the upperBand .
・Track tradeDirection and print a ⭐️ when price crosses the HTF EMA against the current direction (TP cue).
5. Volatility hazard (optional): Flag bars where
・TR ≥ ATR(avg, N) × multiplier and
・Volume ≥ SMA(volume, M) × multiplier.
These get a 💀 label so you can avoid forced entries/exits during disorderly bursts.
Parameters (UI mapping)
Higher-Timeframe & Core
・Higher TF for EMA/ATR: HTF used by request.security (e.g., 60).
・EMA Length (HTF): HTF EMA period.
・ATR Length (HTF): HTF ATR period.
・ATR Multiplier: Band width.
・Aurora mode: Toggle dynamic background (ATR-based gradient).
Volatility Filter (Volatility Filter group)
・Enable Extreme Volatility Filter?: On/off.
・ATR Period / ATR Spike Multiplier: Bar is “extreme” if TR ≥ ATR×multiplier.
・Volume MA Period / Volume Spike Multiplier: “Extreme” also requires Volume ≥ SMA×multiplier.
Signal Settings
・Long Arrow Color / Short Arrow Color: Icon colors for long/short cues.
Practical usage
・Plan around the HTF envelope:
・Below lower band → price may be stretched into demand zone (look for long cue & reaction).
・Above upper band → stretched into supply zone (look for short cue & reaction).
・Confirmation: Treat arrows as triggers, not commands. Favor entry when you also see reaction candles (rejection wicks, engulfings) or micro-structure alignment.
・Exit discipline: The ⭐️ on EMA cross-back is a simple, mechanical TP. You can scale out earlier using fixed R-multiples or prior swing levels.
・Hazard bars: Avoid initiating on 💀 bars; widen stops or step aside until volatility normalizes.
・Clutter control: If zones feel too reactive, raise HTF (e.g., 120/240) or increase ATR Length/Multiplier for broader, slower bands.
Repainting & HTF notes
・HTF series from request.security are final only when the HTF bar closes. Using upperBand /lowerBand for crosses helps reduce duplicate/early prints, but intrabar behavior on the current HTF bar can still evolve. Evaluate on closed bars for strict confirmation.
Best markets & timeframes
・Pairs/indices/crypto where trend–pullback cycles are common.
・Start with entry TF = your usual trading TF (e.g., 5m–1h) and HTF = 3–12× that TF (e.g., 60/120/240).
・For BTC/Gold or newsy assets, prefer higher HTF and the volatility filter ON.
Disclaimer
This tool identifies zones and timing cues; it does not guarantee outcomes. News shocks and liquidity gaps can invalidate any setup. Always size positions prudently and trade at your own risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
Stella Edge — クイックガイド（日本語）
概要
Stella Edgeは、上位足EMA±ATRバンドで相場をフレーミングし、アダプティブな買い/売りゾーン、極端なボラティリティ警告、そしてシンプルなエントリー/利確キューを提供するインジです。
・ロング：価格が Lower Bandを上抜けたタイミングで矢印。
・ショート：価格が Upper Bandを下抜けたタイミングで矢印。
・利確⭐️：建玉方向に対して価格が HTF EMA を逆行クロスしたら表示。
・💀警告：ATRと出来高が同時スパイクした「危険」バーを明示。
・背景はHTF ATRのパーセントランクで静→動にグラデーションする「オーロラ」表現。
独自性・新規性
・上位足の構造を先に定義（EMA±ATR）→そこへ戻る/抜ける動きだけを狙うため、ノイズを減らした文脈型の判断が可能。
・二重スパイク条件（TR×ATR基準＋出来高×SMA基準）で、荒れ相場のエントリー回避を支援。
・シグナルの重複・不安定を抑制、見やすい最小限のアイコンに整理。
・視覚設計としてATRの相対的な強度を背景で可視化し、一目で局面認識。
使い方のヒント
・ゾーンは押し目/戻り目の候補。矢印はトリガーとして扱い、ローソクの反応（ピンバー/包み足など）で確認してから入る。
・⭐️は機械的TPの目安。スケールアウトやR倍数での利確も併用可。
・💀が出た足での新規は原則回避。HTFを上げるとゾーンはより鈍感＝落ち着いた絵に。
・HTF更新の注意：上位足バー確定までは値が変化し得ます。確定足ベースで検証するのが安全。
免責
本ツールは反発や到達を保証しません。イベントや流動性によって機能しないことがあります。資金管理のもと自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
Index CorrelationThis indicator uses multiple methods to detect common changes in ES1!, NQ1!, and YM1! and plots them on a graph that changes their colors from green to red to display if the Indices are correlated or if they are uncorrelated.
My hypothesis is any setup or trade taken during a period of non-correlation is more risky and less predictable.
Relative Strength (RS) By @Byte2Bull📈 Relative Strength (RS) By @Byte2Bull
📌 Overview
This indicator plots a Relative Strength (RS) line that compares the performance of the chart symbol to any benchmark symbol (index, ETF, or stock). By comparing the stock’s price movement to that of the benchmark, this tool highlights whether a stock is outperforming or underperforming the market.
RS value = (Price of symbol / Price of benchmark) × 100
It highlights hidden leaders and emerging strength through dynamic line plots, customizable moving average, and powerful new high detection features, enabling more informed trading decisions.
🛠 Key Features
⦿ Custom Benchmark Selection
Compare any stock with your chosen benchmark (default: NSE:NIFTYMIDSML400), such as NIFTY50, BANKNIFTY, or sector indices.
⦿ Relative Strength Line with Dynamic Coloring
Green when RS is above its moving average (strength/outperformance).
Red when RS is below its moving average (weakness/underperformance).
⦿ Configurable Moving Average
Apply either EMA or SMA over RS with customizable length. This helps smooth out volatility and provides a clear reference trend.
⦿ New High Detection
Marks when RS makes a new high.
Highlights when RS makes a new high before price does → a powerful early signal of hidden strength.
⦿ MA Crossover
Optional marker for when RS crosses above its moving average, signaling potential start of leadership.
⦿ Visual Enhancements
Adjustable line thickness.
Fill area between RS and its MA with green/red shading for quick interpretation.
Customizable colors for all key signals.
⦿ Built-in Alerts
Set alerts for:
RS New High
RS New High Before Price
Bullish MA Crossover
🎯 How to Use
⦿ Identify Market Leaders:
A stock with RS consistently above its MA is likely leading the market.
⦿ Spot Early Strength:
If RS makes a new high before the stock price, it may signal strong relative demand — often preceding breakouts.
⦿ Filter Weakness:
Stocks with RS below the MA are lagging and may be best avoided during bullish phases.
⦿ Combine with Price Action & Volume:
RS works best alongside price breakouts, trend analysis, and volume confirmations.
Multi-Timeframe Trend ImprovedMulti-Timeframe Trend Improved — Volatility Stop & Trend Change Alerts
This script tracks trend direction across four customizable timeframes using a Volatility Stop method based on ATR. It displays:
VolStop levels and trend direction (Uptrend/Downtrend) per timeframe.
Bars since the last trend change in each timeframe.
A customizable table showing all data with color-coded trends.
Visual alerts via triangle shapes on the chart when a trend change occurs.
🔧 Fully configurable:
Timeframes (e.g., 65min, 4H, Daily, Weekly)
ATR length, multiplier, and smoothing
Table location, font size, border width, and label color
Ideal for traders who want a clear multi-timeframe overview of market trends and volatility-based support/resistance levels.
CM Visual – Two-Pole Normalized Osc + RSI + CHOPThis script is being tested for a two-pole oscillator with RSI and CHOP filters. If you're interested in Beta testing, please email austinlowens@gmail.com
Atlantean Sideways / Range Regime DetectorPurpose
When using trend based indicators, you can skip the false signals when there is a sideways action, protecting you from the false signals.
Flags likely sideways/range phases using three checks:
Weak trend (ADX from DMI)
Price compression (Bollinger Band Width, normalized)
Low volatility (NATR = ATR/Price%)
Logic
isSideways = (ADX < adxThresh) AND (bbNorm < 0.25) AND (NATR < natrMax)
When true: bars + background turn teal and a provisional Range High/Low (rolling rangeWin) is drawn.
Key Inputs
DMI: diLen(22)
Optimized for 15 mins Bitcoin, could change it to 14 for more general approach
ADX: adxSmooth(14), adxThresh(18)
Volatility: lenATR(14), natrMax(1.8)
Visuals: rangeWin(20), bar/range toggles
Quick Tuning
More signals: raise adxThresh to 20–25, raise natrMax to 2.5–4.0, increase BB cutoff by editing bbNorm < 0.25 --> 0.35–0.50.
Smoother range lines: increase rangeWin to 30–40.
Use Cases
Mean reversion inside teal ranges.
Breakout prep when price closes outside the drawn range after teal ends. Could be used as a signal although not suggested.
Filter trend systems: skip trades when sidewaysCond is true. This is the main purpose, for it to be combined with trend based indicators, like Supertrend.
Alert
“Sideways Detected” triggers when isSideways is true.
Script could be expanded upon your requests.
EMA Crossoverx + ADX [Jamir] (Indicator)This indicator will avoid the signals during low volatility and will show the signals only when there is a volatility. Helps you to take profitable trades only and avoids noise. This script works good on 5 mins and 15 mins time frame.
SRI- CCI and Daily Candle MiniChartIndicator Description
Name: SRI – CCI and Daily Candle MiniChart
Shorttitle: Sri-Minicharts
Type: Overlay Indicator
Purpose:
This indicator is designed to provide a compact visual snapshot of momentum and trend using CCI (Commodity Channel Index) with EMA smoothing and a mini daily (or monthly) candle display. It allows traders to monitor momentum shifts, overbought/oversold conditions, and higher timeframe candle trends without cluttering the main chart.
Key Features:
CCI Mini-Chart
Plots CCI values scaled to the chart price for easy visualization.
Adds a long EMA of CCI for smoothing and trend recognition.
Includes reference lines at ±100, ±80, and 0 for overbought/oversold/neutral levels.
Adjustable sensitivity, length, and scaling for custom responsiveness.
Shows only the most recent bars for clarity.
Daily/Monthly Candle Mini-View
Plots 4 recent candles (Normal or Heikin Ashi) on the chart with configurable offset and thickness.
Allows traders to see higher timeframe trend without switching charts.
Customizable candle colors for bullish and bearish bars.
Custom Timeframe Support
Mini CCI chart can use any custom timeframe, independent of chart timeframe.
Visual Enhancements
Color-coded CCI: green when positive, red when negative.
EMA overlay in blue for trend direction of CCI.
Daily candle mini-chart positioned horizontally for easy reference.
Pros
Compact & Informative:
Combines momentum (CCI) and trend (daily candles) in a single overlay, helping traders make faster decisions.
Multi-Timeframe Awareness:
Mini daily/monthly candles provide context of higher timeframe trends alongside short-term CCI analysis.
Customizable:
Users can adjust CCI length, EMA, sensitivity, scaling, offset, and colors to suit any trading style.
Trend Clarity:
EMA overlay smooths CCI, reducing noise from volatile price movements.
Reference Levels:
Overbought/oversold lines help traders spot potential reversals or continuation zones.
Non-Intrusive:
Mini chart and candles do not clutter main chart; only draw latest bars for visual clarity.
Suggestions to Enhance Potential Winning
Add Trend Strength Indicator:
Integrate ADX + DI mini-bars or lines to confirm if the CCI trend is supported by strong trend conditions.
Include Volume or OBV:
Adding volume mini-bars or OBV trend helps validate moves supported by trading activity.
Add Confirmation Oscillator:
Include RSI or Stochastic mini-chart for additional momentum confirmation before taking trades.
Signal Markers & Alerts:
Add arrows or dots when CCI crosses EMA or key levels.
Enable alerts for public users on CCI signals or daily candle breakouts.
Multi-Timeframe Integration:
Show weekly or monthly candle trends alongside daily candles for stronger context.
Dynamic Scaling & Auto-Offset:
Improve auto-scaling logic for highly volatile instruments to prevent mini-chart distortion.
Backtesting Overlay (Optional):
Highlight historical trade signals on mini-charts to visualize potential past performance.
Summary
This script is a highly visual and multi-timeframe mini-chart indicator that is perfect for public use on TradingView. It gives quick insight into momentum and trend using CCI + EMA and shows recent higher timeframe candle trends, making it ideal for traders who want fast decision support without switching timeframes.
By adding ADX, RSI/Stochastic, volume confirmation, and alerts, it can become a full-fledged trade confirmation tool, increasing its practical value for both intraday and swing traders.
